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The EPIPHA-KNEE trial: Explaining Pain to target unhelpful pain beliefs to Increase PHysical Activity in KNEE osteoarthritis – a protocol for a multicentre, randomised controlled trial with clinical- and cost-effectiveness analysis

Abstract

Background

Despite well-established benefits of physical activity for knee osteoarthritis (OA), nine of ten people with knee OA are inactive. People with knee OA who are inactive often believe that physical activity is dangerous, fearing that it will further damage their joint(s). Such unhelpful beliefs can negatively influence physical activity levels. We aim to evaluate the clinical- and cost-effectiveness of integrating physiotherapist-delivered pain science education (PSE), an evidence-based conceptual change intervention targeting unhelpful pain beliefs by increasing pain knowledge, with an individualised walking, strengthening, and general education program.

Methods

Two-arm, parallel-design, multicentre randomised controlled trial involving 198 people aged ≥50 years with painful knee OA who do not meet physical activity guideline recommendations or walk regularly for exercise. Both groups receive an individualised physiotherapist-led walking, strengthening, and OA/activity education program via 4x weekly in-person treatment sessions, followed by 4 weeks of at-home activities (weekly check-in via telehealth), with follow-up sessions at 3 months (telehealth) and 5 and 9 months (in-person). The EPIPHA-KNEE group also receives contemporary PSE about OA/pain and activity, embedded into all aspects of the intervention. Outcomes are assessed at baseline, 12 weeks, 6 and 12 months. Primary outcomes are physical activity level (step count; wrist-based accelerometry) and self-reported knee symptoms (WOMAC Total score) at 12 months. Secondary outcomes are quality of life, pain intensity, global rating of change, self-efficacy, pain catastrophising, depression, anxiety, stress, fear of movement, knee awareness, OA/activity conceptualisation, and self-regulated learning ability. Additional measures include adherence, adverse events, blinding success, COVID-19 impact on activity, intention to exercise, treatment expectancy/perceived credibility, implicit movement/environmental bias, implicit motor imagery, two-point discrimination, and pain sensitivity to activity. Cost-utility analysis of the EPIPHA-KNEE intervention will be undertaken, in addition to evaluation of cost-effectiveness in the context of primary trial outcomes.

Discussion

We will determine whether the integration of PSE into an individualised OA education, walking, and strengthening program is more effective than receiving the individualised program alone. Findings will inform the development and implementation of future delivery of PSE as part of best practice for people with knee OA.

Trial registration

Australian New Zealand Clinical Trials Registry: ACTRN12620001041943 (13/10/2020).

Background

Osteoarthritis (OA) is increasingly prevalent in older adults [1] and has a large personal health and societal burden [2]. The knee is the most common joint affected by OA and is the most disabling [1], making it essential to find ways to promote long-term health, quality of life, and reduced pain and disability in this population.

Regular structured physical activity (aerobic or strengthening exercise) reduces pain and disability in people with knee OA [3, 4], even in those with severe, end-stage OA who are awaiting joint replacement [5]. Recommended by all clinical guidelines as a core treatment for knee OA, structured physical activity has similar effects on pain and disability as commonly used drugs, but without the pharmacological side effects (e.g., gastrointestinal problems) [3, 4]. Importantly, even relatively small improvements in physical activity levels predict improved function [6] and reduced disability [7] in those with knee OA. Despite this, the majority of people with OA are inactive [8]. Only 13% of people with OA meet physical activity guidelines for moderate-vigorous activity (150 min/week) and only 19% meet suggestions of ≥10,000 steps/day [8]. While most people in the general public do not meet recommended activity levels, people with OA are still 25% less active than those without OA [8]. Low physical activity levels also have serious health implications for people with knee OA: cardiovascular mortality risk in those with OA is nearly double that of the general population and is highest for those with the greatest walking disability [9].

Recent literature supports that unhelpful beliefs likely contribute to inactivity in those with knee OA. For example, in people with OA, those who are inactive are more likely than those who are active to believe that they are physically unable to exercise and that physical activity is unsafe [10, 11]. Further, people with knee OA often focus heavily on pain and hold beliefs that OA is an incurable, progressive ‘bone-on-bone’ disease, caused by ‘wear-and-tear’ [12, 13]; perspectives refuted by contemporary scientific evidence [14,15,16,17,18]. Given such beliefs, it is perhaps unsurprising that people with knee OA generally report increased levels of fear of movement itself and of movement-induced injury [19, 20] and report uncertainty as to whether undertaking physical activity will be helpful for them [21]. Unfortunately, these unhelpful beliefs are also held by many health care professionals, who reinforce consumers’ misunderstandings, further compounding the problem. For example, many clinicians believe that structured physical activity is not appropriate for all people with knee OA (i.e., not appropriate for people with severe OA) and that physical activity can be harmful [22]. Such consumer and clinician beliefs contrast with high-quality research showing that physical activity does not further damage the joint [3, 23], and that activity is helpful even in those with end-stage OA awaiting joint replacement [5]. Critically, in people with knee OA, such unhelpful beliefs negatively influence their decision to engage with structured physical activity [12] and reduce their participation in activities that may be pain-provoking [24]. Ultimately, negative beliefs about OA and activity are predictive of lower future physical activity levels in those with knee OA [25].

Current strategies that aim to increase physical activity in people with OA include structured physical activity interventions targeting aerobic capacity, endurance, and strength [26]. These interventions aim to increase exercise tolerance, strength or overall fitness, maintain or reduce weight, and decrease pain. They have short-term but not long-term effects on physical activity levels [26]. Behavioural interventions, targeting features such as self-efficacy or coping skills to promote self-management, have also been used to increase physical activity. Again, physical activity levels increase in the short term, but decline over time, with no effect after 12 months [27]. Critically, the reduction in benefits from physical activity in OA is directly related to declining rates of adherence [28]. Thus, improving long-term adherence is key to achieving meaningful health and OA-specific benefits. Promoting maintenance of physical activity gains remains a significant challenge – we are still chasing the holy grail of instilling physical activity as a regular part of daily life in people with OA.

A notable similarity amongst most current approaches that aim to increase physical activity is encouraging ‘movement despite pain’ (e.g., behavioural interventions using coping skills), with the ‘promise’ of pain-relieving effects over time. Arguably, such approaches may seem counterintuitive to people with knee OA as long as they consider pain to be a marker of joint damage [29]. For instance, if people believe that increases in pain represent more joint damage and that physical activity may be unsafe for their joint, then it is unlikely that they will engage in or adhere to activity programs that suggest that they should move despite having pain [12]. Further, if these unhelpful beliefs are not challenged, then flare-ups of pain that often occur with activity programs may derail long-term adherence [30]. Although including general education within physical activity programs is recommended by OA practice guidelines [31], we contend that current education may be suboptimal. Current education largely focuses on how to accurately and safely perform activity and the health and OA-specific benefits of activity [32]. Such education does not improve poor long-term activity adherence [33].

Contemporary pain science education (PSE) was developed to shift the meaning of pain from that of a marker of tissue damage to that of a need to protect the body from real or perceived danger or threat. PSE aims to re-conceptualise what pain means to someone [29]. It is distinct from cognitive therapy because it uses re-conceptualisation of the biological underpinnings of pain to enable a move away from thinking that only structural pathological factors contribute to pain. PSE also prioritises an understanding of the considerable central nervous system adaptations that occur when pain persists and the impact of these changes on the relationship between pain and true tissue threat. PSE therefore, provides a scientific basis for both a biopsychosocial model of pain and disability (i.e., underscoring that numerous factors can contribute to the experience of pain), and the enhanced sensitivity generated by central nervous system adaptations that occur as pain persists [29]. Importantly, PSE also differs fundamentally from current self-management education programs that aim to educate people with OA about physical activity benefits and behavioural modifications (and which have been shown to have no benefit in OA [34]), in that PSE targets the knowledge and beliefs that underlie behaviour [29]. With PSE, re-conceptualisation of pain is key: those with the greatest improvement in pain-related knowledge with PSE show the greatest immediate and sustained movement improvements [35].

High level evidence, including meta-analyses and randomised controlled trials (RCTs), shows that PSE increases pain knowledge, reduces unhelpful pain beliefs [35, 36], and improves pain, function, and disability (including physical activity levels) in various musculoskeletal pain conditions [35,36,37,38,39,40,41]. However, knee OA-specific data are lacking. We undertook a feasibility pilot study of a PSE-driven individualised education and walking program for people with knee OA [42]. The OA PSE intervention drew from established ‘Explain Pain’ programs (originally developed for back pain; see Moseley & Butler for an overview [29]), that were then modified to include contemporary understanding of the science of OA [16, 17, 43], including the impact of movement and loading of the knee joints [15, 18, 44]. The PSE intervention had high levels of participant-rated credibility and acceptability, with promising effects on pain knowledge and clinical outcomes of pain, function, and physical activity levels [42]. Our findings supported transition to a full trial after undertaking small methodological changes, and including a lower limb strengthening component to be consistent with best practice care [31].

Therefore, the aim of this study is to determine the clinical- and cost-effectiveness of a PSE-driven individualised walking, strengthening and education program, called EPIPHA-KNEE, in people with painful knee OA. We will compare EPIPHA-KNEE to an individualised walking, strengthening, and general OA educational program that is consistent with current best practice, using a randomised controlled trial (RCT). We hypothesise that the EPIPHA-KNEE intervention will lead to greater improvements in long-term physical activity levels and OA knee symptoms (pain, function, and stiffness) and will be cost-effective.

Methods

Design

EPIPHA-KNEE is a two-arm, multicentre, superiority RCT. Figure 1 outlines the phases of the RCT. This protocol has been developed according to the SPIRIT recommendations [45]. The intervention is described according to the TIDieR checklist [46]. The trial was prospectively registered with the Australian New Zealand Clinical Trial Registry (ACTRN12620001041943; https://bit.ly/2SfVySS). The trial is conducted at the University of South Australia and the University of Melbourne, with cost-effectiveness analysis led by health economists at Flinders University, Australia.

Fig. 1
figure 1

Participant flow through the randomised controlled trial

Participants

Participants aged ≥50 years with painful knee OA that has been present for at least 6 months, who have at least moderate levels of pain (≥4 on an 11-point Numerical Pain Rating Scale [47]) and who report at least moderate difficulty with daily activities [48] will be eligible for this trial. Table 1 provides the full inclusion and exclusion criteria. Our target sample size is 198 participants. Participants are recruited from the general community in Adelaide and Melbourne, Australia using advertisements placed in newspapers and relevant newsletters (e.g., Arthritis SA, Senior’s Living), as well as via social media (Facebook, Twitter).

Table 1 Participant eligibility criteria

Trial coordinators at the University of South Australia and the University of Melbourne manage the screening of volunteers, using a two-step process: i) via an online survey using REDCap (Research Electronic Data Capture) [49] and, if eligible, ii) via in-depth telephone screening by the site-specific trial coordinators. Additional clearance to participate is sought from a general practitioner for anyone who does not pass exercise safety screening questions. The study interventions are undertaken at private, community physiotherapy clinics and provided by designated, trained trial physiotherapists.

Data collection and management

Data are collected via: paper or online questionnaires completed by the participant (self-reported outcomes); paper and online data forms completed by the research personnel (objective assessment data); and accelerometry data from a wrist-worn monitor (assessment of physical activity levels). All online questionnaires/data forms are completed in REDCap. Paper questionnaires are stored in a locked cabinet and the data are manually entered into REDCap (self-reported outcomes) or double-entered into an excel spreadsheet (objective assessment data) by an outcome assessor. All digital data (questionnaires, objective assessment data forms, accelerometry data) are stored on a secure password-protected server. For all data collection, the ‘study knee’ is the painful knee, or in those with bilateral symptoms, the most painful eligible knee. If pain levels are similar bilaterally, the right knee is considered the study knee.

Randomisation allocation concealment and blinding

Following completion of the baseline assessments (questionnaires, objective assessment, accelerometry), participants are randomised to either the EPIPHA-KNEE group or the Best Practice Education/Activity Control group. The computer-generated randomisation schedule was prepared by the study biostatistician using Research Randomizer [50], with randomly selected permuted blocks of varying size (4 and 6) and using a 1:1 ratio to the two treatment groups within four strata (sex and site: Adelaide, Melbourne). The EPIPHA-KNEE intervention and the Best Practice Control intervention are provided by different physiotherapists located at different clinic sites. Thus, once allocated to an intervention group, participants choose one of the candidate physiotherapy clinics that provide that intervention to attend (i.e., the clinic that is most convenient for them).

Allocation is concealed using central automated allocation, with security in place to ensure data cannot be accessed or influenced. The randomisation schedule is stored within a password-protected electronic system (REDCap). A hard copy of the raw randomisation schedule is also stored in a secure location at each site should the electronic system fail. Only the unblinded Research Leads (TRS in Adelaide, KB in Melbourne) have access to raw copies of the randomisation schedules. The trial coordinators at each site (Adelaide, Melbourne), randomise participants to intervention group. Notably, while the trial coordinators determine if a participant is eligible for inclusion in the trial, due to inaccessible online randomisation with use of randomly permuted block size and stratification, they are unaware when this decision is made to which group the participant will be allocated. Once randomised, the (now) unblinded trial coordinators at each site (Adelaide, Melbourne) coordinate treatment appointment scheduling with the appropriate physiotherapist as identified by the participant.

Many of the primary and secondary outcomes are self-report questionnaires, thus participants are also assessors for these outcomes. Participants are advised that they will be randomised to receive one of two active physiotherapy treatments involving education and exercise that aim to improve overall health (i.e., limited disclosure). The exact details of the interventions are not provided prior to randomisation. After randomisation, participants are provided only with details of the intervention they receive. Given that both groups receive active treatments and that the primary outcomes of the trial are not disclosed, we anticipate that this will be sufficient for blinding the participants to group assignment. At study completion, participants are asked to guess which group they were in (intervention group of interest or control group) in order to assess participant blinding.

For objective outcomes assessed in-person at baseline and at 12 weeks, research personnel whose roles are independent of treatment allocation and delivery (i.e., blinded to group allocation) act as the outcome assessors. Participants are explicitly instructed not to discuss their intervention or treating therapist with the outcome assessor. The same assessor evaluates the baseline and 12-week outcomes for each participant. To formally evaluate assessor blinding, the assessors are asked to guess which group the participants were in (intervention or control) after the participant’s 12-week objective assessment.

Treating therapists are unavoidably aware of the intervention they provide, but each therapist is assigned to deliver only one intervention only, and both groups are providing an active intervention. Our goal is to have therapists of both groups believe they are providing the intervention of interest; this will be formally assessed at completion of the trial. Regardless, therapists will not be involved in any outcome assessment. An independent, blinded statistician will perform data analyses.

Intervention groups

Both intervention groups receive consistent, standardised general OA/activity education, graded walking and strengthening components, but have a contrasting OA pain education component. The EPIPHA-KNEE group receives contemporary PSE underpinned by principles of self-regulated learning and conceptual change theory [29, 51,52,53] and modified to integrate contemporary biological science of OA [14, 16, 17, 43, 44]. The Best Practice Control group receives best practice OA education, consistent with OA management clinical practice guidelines [31]. Table 2 highlights the different aspects of the educational component and Fig. 2 illustrates the timing of the intervention components and assessment points. Participants in both groups keep a weekly paper-based diary of education, walking, strengthening, and any homework activities to promote improved adherence [54], and in the EPIPHA-KNEE group, the diary is also used to promote self-regulated learning via guided and independent reflection upon what was achieved [51].

Table 2 Education features of the intervention groups
Fig. 2
figure 2

Study procedures and timing of outcome assessments. NRS = Numeric Rating Scale; Rx = in-person treatment session; TH = Telehealth (Telephone call or videoconferencing); Wk = Week; PSE = Pain Science Education; WOMAC = Western Ontario and McMaster Universities Osteoarthritis Index

EPHIPHA-KNEE group (enhanced PSE integrated with general education, graded walking program and strengthening program)

Participants attend four, 60–90 min, in-person individual sessions with a physiotherapist at weekly intervals (over 4 weeks), during which they participate in enhanced PSE (“Explaining Pain”) as well as receiving a graded walking program and strengthening exercises, which both integrate PSE concepts. All in-person sessions take place at the private physiotherapy clinic where the trial physiotherapist is employed. The in-person sessions are followed by 4 weeks of at-home activities, involving workbook activities and walking/strengthening progression, with weekly telephone calls or videoconferencing sessions (via Zoom) by the physiotherapist (20 mins each). A follow-up telehealth session at 3 months (20 mins) and follow-up in-person sessions with the physiotherapist (45–60 min) occur at 5 and 9 months. A detailed program plan, including learning objectives, tasks and assessments has been created for this intervention (currently embargoed, but the base curriculum and trial-specific therapist intervention case notes and participant diaries which include at-home activities have been uploaded and time-locked on Open Science Framework [55], see: osf.io/cs2rx). Participants receive a custom-made EPIPHA-KNEE handbook (Explain Pain Knee Osteoarthritis Handbook) [56] to take home, which serves as a reference point and activity manual to consolidate and further promote learnings. All educational concepts are covered with all participants, but therapists personalise the educational content to the individual (e.g., time spent on concept; linking discussion of content to the participant’s circumstances and using the participant’s own wording when possible). The walking and strengthening programs are personalised to the participant, but are guided by a standardised protocol of graded increases. Choice of telephone versus videoconference for at-home telehealth sessions is at the participants’ preference.

Best practice education/activity control group (standard OA education, graded walking program and strengthening program)

Participants attend four, 45–60 min, in-person sessions with a qualified physiotherapist at weekly intervals (over 4 weeks), during which they receive general information about OA and activity as well as receiving a graded walking program and strengthening exercises. All in-person sessions take place at the private physiotherapy clinic where the trial physiotherapist is employed. The in-person sessions are followed by 4 weeks of at-home activities (workbook and walking/strengthening progression) with weekly telephone calls or videoconferencing sessions (via Zoom) by the physiotherapist (20 mins each). A follow-up telehealth session (3 months) and follow-up in-person sessions with the physiotherapist (30–45 min) occur at 5 and 9 months. Participants receive the Arthritis Australia ‘Taking control of your osteoarthritis’ booklet [57] to take home, which discusses educational concepts for this intervention. Full therapist case notes are embargoed but have been uploaded and time-locked on Open Science Framework (see: osf.io/cs2rx). The walking and strengthening programs are personalised to the participant but are guided by a standardised protocol of graded increases. Choice of telephone versus videoconference for at-home telehealth sessions is at the participants’ preference.

Graded walking program

The walking program is based on that previously used in our feasibility study [42]. The current trial’s minimum activity goal for all participants at 12 months is to walk at least 30 min, 5 days per week at a moderate intensity (defined as being moderately out of breath while walking), consistent with physical activity guideline recommendations [58]. There is no maximum activity goal; this is individualised to the participant, and if appropriate, can include activities such as hiking or jogging, for longer than 30 min and for up to 7 days per week at moderate or vigorous intensity. The planned walks are guided by principles of pacing, including graded increases over time, goal-setting, as well as pre-planned (times/dates) walks, with the aim to complete the walking goal regardless of how they feel (unpair activity and pain associations) [59]. Further, graded increases are limited to one factor per week: walking duration; number of walks; walking intensity; or other features (hills, differing terrain). Thus, if walking duration is increased, the number of walks and their intensity (and other features) are held constant that week. This program has been visually depicted in a past publication [42] and is summarised here in Table 3. All walking program features, individualised participant goals, and walking progression principles are identical between groups. Table 2 highlights how the PSE component is embedded within the walking program for the EPIPHA-KNEE group.

Table 3 Summary of walking program

Graded strengthening program

The strengthening program received by both intervention groups involves general lower limb strengthening exercises that are individualised to the participant and progressed in dosage and in difficulty over time. The exercises chosen are based on those used in previous trials by the research team which were found to be effective [60]. Table 4 provides the strengthening exercises and a proposed progression over 12 weeks but is used as a guide only. Physiotherapists use information from their subjective and objective assessment to individualise the strengthening exercise program to their participant (e.g., can start with more difficult exercises if needed). Participants are provided with a handout that visually depicts each exercise and provides key instructions about performance (see Supplementary File 1). Using the handout as a reference, physiotherapists demonstrate each exercise to the participant during the in-person sessions (during Session 2 and Session 4) and then observe the participant performing the exercise, providing feedback as needed. When possible (and with consent), physiotherapists also video the participant performing each of the exercises correctly on the participant’s phone so that the participant can refer to the video in the future (e.g., during at-home sessions) if needed. After week 13, continuation of the strengthening program is left open to each participant; however, if continued, no further exercise progression occurs beyond which is stipulated in Table 4. Table 2 highlights how the PSE component is embedded within the strengthening program for the EPIPHA-KNEE group.

Table 4 Strengthening exercise programme – ideal prescription Weeks 1–12

COVID-19 considerations

Should COVID-19 restrictions return that prevent the provision of physiotherapy treatment in-person, the interventions of both groups will be updated such that all in-person sessions are instead provided via telehealth (either telephone call or videoconferencing via Zoom). Further, if COVID-19 restrictions return that limit outdoor physical activity, both groups will be provided with ideas for maintaining their activity levels within their available spaces. All COVID-19 restrictions for Adelaide and Melbourne, and the dates of implementation, will be documented throughout the trial period. Lastly, if COVID-19 restrictions prevent in-person objective assessments (baseline, 12 weeks) that take place at the University of South Australia and the University of Melbourne, study participation will proceed without these assessments. These steps aimed at trial flexibility are consistent with recommendations made to preserve trial integrity during the COVID-19 pandemic [61].

Physiotherapist training

A minimum of twelve physiotherapists per group (aim of n = 6/group per site) are employed to provide the intervention. The trial’s EPIPHA-KNEE intervention is provided by physiotherapists with a minimum of 5 years clinical experience who have undertaken high-level pain education training (Explain Pain course; NOIgroup). The trial’s control intervention is also provided by physiotherapists with a minimum of 5 years clinical experience, but who have not undertaken high-level pain education training.

Prior to trial commencement, physiotherapists in the EPIPHA-KNEE group complete intensive training in PSE specific to OA (i.e., the EPIPHA-KNEE intervention), involving pre-reading of key papers (4 h) and attendance at two full days (16 h) of in-person group training. The training days are delivered by leading experts in pain science, health education, and osteoarthritis. The training includes orientation to the content of the educational component of the trial intervention (i.e. educational objectives for participants), and advanced training in skills to promote conceptual change and self-regulated learning.

Physiotherapists in both intervention groups also complete online training modules (5.5 h EPIPHA-KNEE group, 4 h Control group) for: i) trial procedures (including key trial contacts, mandatory reporting to research team, ethical and confidentiality matters); ii) the relevant educational intervention (including specific objectives for each treatment session and instructions on how to individualise education to the participant); iii) the graded walking program (the guiding principles, ideal prescription, how to individualise to the participant, and how to vary if flare-ups occur); iv) the strengthening exercise program (as per walking program); v) intervention delivery (how to integrate the three components of Education, Walking program, and Strengthening program within each session, how to use the Case Notes); vi) telehealth sessions (tips to ensure telehealth runs smoothly). Lastly, formal competency checks of the physiotherapists in both groups are undertaken by the research team via: i) review of physiotherapist’s verbal/written answers to questions about the trial protocols and the interventions; ii) auditing of (and feedback on) audio-recorded intervention sessions for a pilot participant treated by each physiotherapist.

Treatment fidelity

Following trial commencement, the trial physiotherapists can discuss any issues that arise with delivering the intervention with the research team. Trial physiotherapists can contact the research team through the trial by email or telephone. Additionally, regular meetings via Zoom are held with the trial research team and each intervention group of physiotherapists (separately). These regular meetings also allow the opportunity for therapists to provide feedback or discuss any issues arising. A random sample of treatment sessions (minimum of one for each therapist) will be audio recorded to allow an audit of intervention fidelity for each group. Each physiotherapist and physiotherapy clinic will provide only one of the two study interventions. Therapists’ case notes for each session, recorded via standardised templates, will also be used to evaluate intervention fidelity (e.g., the exercises and walking prescribed).

Dealing with adverse events

Given the provision of walking and strengthening exercises, we expect transient increases in lower limb pain or swelling (including, but not limited to, the trial knee) due to increased structured physical activity. Trial therapists and participants are advised to report any adverse events to the study coordinator as soon as possible via documentation in treatment notes uploaded online in REDCap (therapists) as well as via email or telephone call to the study coordinator (therapists and participants). If needed, trial participation is continued in a revised manner (including the potential for additional treatment sessions for the problem), or treatment is discontinued and further medical intervention is arranged. Adverse events are formally collected via participant self-report following weekly intervention completion (12 weeks) and at the 6 and 12 month follow-up questionnaires.

Outcomes

Table 5 provides the full list of outcome measures and time points of assessment. Our primary and secondary outcome measures are measured at baseline, 12 weeks, 6 and 12 months.

Table 5 Summary of measures to be taken

Primary outcomes

The primary outcomes are: i) average daily step count assessed over 7 consecutive days via wrist-worn accelerometry (Actigraph GT9X Link, Pensacola, FL); and ii) overall knee symptoms measured via the Western Ontario and McMaster Universities (WOMAC) Osteoarthritis Index [62]. The primary timepoint for both outcomes is 12 months.

For daily step count, participants wear the accelerometer on their non-dominant wrist at all times (removal only for shower or during water-based activities). Data are collected from the device in 60 s epochs. A paper-based activity log is provided to participants to capture times they go to bed at night and get up from bed in the morning, as well as times the accelerometer was removed and then placed back on (particularly if taken off when sleeping). Valid wear time is operationalised as having ≥10 h of waking wear time for a minimum of 4 days (3 weekdays and 1 weekend day) [63, 64]. Average daily step count is calculated as the weighted average (5:2) of weekday and weekend step counts. We chose daily step count as a primary outcome based on its: i) health benefits in knee OA (increased physical activity via walking improves both pain and function [65], and even a moderate increase in physical activity [1000 steps/day] reduces risk of functional decline [66]); and ii) established reliability/validity in knee OA [67].

The WOMAC is a disease-specific self-report questionnaire that includes pain (5 items), stiffness (2 items), and physical function (17 items) subscales. Items are scored from 0 to 4, giving a range of possible scores from 0 (no symptoms or dysfunction) to 96 (maximal symptoms and dysfunction). It has demonstrated validity, reliability, and responsiveness [68]. The use of the total score for primary outcomes is supported by the scale creators.

Secondary outcomes

The secondary outcome measures are:

  1. i)

    Average knee pain over the past week rated using an 11-point Numerical Rating Scale, anchored with “0, no pain at all” to “10, worst pain possible” [47];

  2. ii)

    Average knee pain while walking over the past week using an 11-point Numerical Rating Scale, anchored with “0, no pain at all” to “10, worst pain possible” [47];

  3. iii)

    Knee pain over the past 48 h, via the WOMAC 5-item pain subscale score, with items scored from 0 to 4, giving a range of possible scores from 0 (no pain) to 20 (maximal pain) [62];

  4. iv)

    Knee function over the past 48 h via the WOMAC 17-item function subscale scores, with items scored from 0 to 4, giving a range of possible scores from 0 (no dysfunction) to 68 (maximal dysfunction) [62];

  5. v)

    Depression, assessed using the 4-item PROMIS depression subscale, with items scored on a 5-point Likert scale from “Never” (1) to “Always” (5), giving a range of scores from 4 to 20 (rescored using a T-score metric with a score of 50 representing the mean and 10 the standard deviation of a reference population), with higher scores reflecting greater depression [69];

  6. vi)

    Anxiety, assessed using the 4-item PROMIS anxiety subscale, with items scored on a 5-point Likert scale from “Never” (1) to “Always” (5), giving a range of scores from 4 to 20 (rescored using a T-score metric with a score of 50 representing the mean and 10 the standard deviation of a reference population), with higher scores reflecting greater anxiety [69];

  7. vii)

    Stress over the past month, assessed using the 4-item Perceived Stress Scale, scored on a 5-point Likert scale from “Never” (0) to “Very often” (4), giving a range of possible scores of 0 (no perceived stress) to 16 (maximal perceived stress) [70, 71];

  8. viii)

    Fear of movement, assessed using the 6-item Brief Fear of Movement for OA scale, scored on a 4-point Likert Scale from “Strongly disagree” (0) to “Strongly agree” [3], giving a range of possible scores of 0 (no fear of movement) to 18 (maximal fear of movement) [19];

  9. ix)

    Pain catastrophising, using the brief 4-item Pain Catastrophising Scale (PCS), scored on a 5-point Likert scale from “Not at all” (0) to “All the time” (4), giving a range of possible scores of 0 (no pain catastrophising) to 16 (maximal pain catastrophising) [72];

  10. x)

    Health related quality of life (HrQOL) using the EQ-5D five level instrument (EQ-5D-5L scale) [73]. The EQ-5D-5L measures HrQOL across five dimensions (mobility, self-care, usual activities, pain/discomfort and anxiety/depression) each with five possible response options ranging from no problems (1) to unable or extreme problems (5). It also includes a 100-point global health rating using a visual analogue scale (EQ-VAS) ranging from 0 (worst imaginable health) to 100 (best imaginable health).

  11. xi)

    Knee perception using the Fremantle Knee Awareness Questionnaire (FREKAQ), involving 9-items, scored on a 5-point Likert scale from “Never” (0) to “Always” (4) with giving a range of possible scores of 0 (no perceptual dysfunction) to 36 (maximal perceptual dysfunction) [74];

  12. xii)

    Global rating of change, scored on a 7-point Likert scale for “Overall change in your study knee since you began the study”, “Overall change in physical activity”, “Overall change in pain”, and “Overall change in physical function” from “Much worse” to “Much better”. Responses will be dichotomised to “Improved” (“Moderately better” and “Much Better”) and “Not improved” (all other choices) [75];

  13. xiii)

    Average daily minutes of sedentary, light, moderate, and vigorous activity and volume (intensity x time) from the wrist-worn accelerometry using two published methods for cut-point-based analysis: Troiano cut-points [63, 76], and those from Smuck et al. (2017) [77].

Demographic and descriptive data

At baseline, the following data are collected: i) age; ii) sex; iii) height and weight; iv) postal code; v) educational level; vi) duration of symptoms, vii) presence of co-morbidities (via the Functional Co-morbidity Index [78]), viii) pain in others parts of the body, ix) medication use over the past month; and x) interventions received during the past month.

Mediators

Primary mediators

  1. i)

    Conceptualisation of OA and physical activity, assessed using the Knee OA and Activity Conceptualisation Scale (OACS), which includes 33 items scored on a 5-point Likert scale from “Strongly agree” (1) to “Strongly disagree” (5), with scores ranging from 33 (low conceptualisation) to 165 (high conceptualisation);

  2. ii)

    Pain self-efficacy assessed using the Pain Self-efficacy Questionnaire (PSEQ) [79], which includes 10 items scored on a 7-point Likert scale from “Not at all confident” (0) to “Completely confident” (6), with scores ranging from 0 (no confidence to perform activity despite pain) to 60 (maximal confidence to perform activity despite pain).

Exploratory mediators (if sufficient data are available)

  1. i)

    Implicit movement bias: An implicit association test based upon established methodology [80] will be used to evaluate the presence of positive or negative movement bias. Using 2 target categories (image of knee movement – ‘active’ vs image of knee resting – ‘rest’) and 2 attribute categories (‘safe’ and ‘danger’), participants sort images into categories: responses are faster/with fewer errors if the target and the attribute category are associated for that person, and are slower/with more errors if they are not [80], allowing determination of negative movement bias (faster movement–‘danger’ and rest–‘safe’ pairings) and positive movement bias (faster movement–‘safe’ and rest–‘danger’ pairings).

  2. ii)

    Implicit environmental bias: Perceptual shifts in relation to the environment will be assessed via estimation of the distance to a target for a walking task [81] and via estimation of hill steepness [82], the latter using virtual reality (equivalent responses to real-life) [45]. Errors between estimated and actual distance/steepness are used.

  3. iii)

    Pain sensitivity to activity, assessed via calculating the change in knee pain intensity ratings (11-point NRS) from pre- to post-standardised 6 min walk test [83].

Additional measures

Exploratory objective factors and questionnaires (potential modulators/moderators)

These include: i) implicit motor imagery performance, assessed via left/right judgement tasks (accuracy and response time) for images of feet and of hands (control) [84] using the Recognise App (NOIgroup Pty Ltd) on an iPad; ii) tactile acuity at the knee assessed using callipers to determine the two-point discrimination threshold at the medial knee [85]; iii) abstract OA pain conceptualisation as assessed using an OA pain drawing task whereby participants are asked to draw their understanding of OA and why it hurts; iv) Self-regulated learning ability, assessed using 7 items from the Motivated Strategies for Learning Questionnaire [86], with items rated on a 7-point Likert scale from “Not true at all for me” to “Very true for me”.

Treatment expectations/credibility

Expectation of treatment outcomes are assessed using a 5-point ordinal scale in response to the question “What effect do you think this treatment will have on your knee problem”, with choices from “no effect at all” to “complete recovery”. A modified Credibility/Expectancy Questionnaire (CEQ) [87] is also used to assess treatment credibility via 4 questions: “How logical does this treatment offered to you seem”; “How successful do you think this treatment will be in reducing your knee OA symptoms”; “How successful do you think this treatment will be in increasing how much you move”; “How confident would you be in recommending this treatment to a friend who experiences similar problems”. These are rated on a 9-point Likert scale from “not at all logical/useful/confident” to “very logical/useful/confident”.

Intention to exercise

Intention to exercise is assessed via 3 questions: “I am committed to engage in physical activity over the next 2 weeks”; “I am motivated to engage in physical activity over the next 2 weeks” and “I am determined to engage in physical activity over the next 2 weeks” [88]. A 7-point Likert scale from “very strongly disagree” to “very strongly agree” is used.

Measurement and valuation of resource use

Total costs associated with delivering the intervention, including resources used in a) the development and provision of face-to-face, evidence-based education sessions and b) the development and provision of home activities and weekly development goals, workbook and telephone contacts, will be measured and valued using appropriate unit costs. Health service utilisation data for the participants, including in-patient hospital stays and emergency department presentations will be accessed from relevant state-based health department administrative records. Individual-level Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) data (including specialist consultations, visits to general practitioners, and access to prescription pharmaceuticals) will be collected from administrative databases held by Services Australia following informed consent from trial participants. Any additional services accessed outside of these programs will be collected via participant self-report. Following relevant guidelines, costs for relevant healthcare resources will be sourced from publicly available published data (including the National Health Cost Data Collection, MBS and the PBS) [89,90,91,92].

Adverse events

Participants are asked to provide details on the nature of the event, how long it lasted, and what action they took. For the purpose of this trial we define adverse events as “any untoward medical occurrence in a patient or clinical investigation participant administered a treatment and which does not necessarily have a causal relationship with this treatment. An adverse event can therefore be any unfavourable and unintended sign (including an abnormal laboratory finding), symptom, or disease temporally associated with the use of a treatment, whether or not related to the treatment”. The trial physiotherapists (or study coordinators, if contacted by participants directly) record details of the adverse event, including whether it was related or unrelated to the study intervention.

Adherence

Adherence is assessed in each group via a review of attendance records for in-person physiotherapy appointments and telephone/videoconferencing physiotherapy sessions. Adherence to the prescribed walking programs is self-reported by the participant via 11-point Likert scale (0 means “strongly disagree” and 10 means “strongly agree”) in response to three statements: “I have been doing the number of walks each week as recommended”; “Within each walk, I have been walking the distance/time/steps as recommended”; and, “Within each walk, I have been walking at the recommended intensity”. Participants are also asked to indicate on how many days in the past week they walked for exercise (options of 0 to 7 days). Adherence to the strengthening program is also self-reported using similar assessment (“I have been doing the strengthening exercises each week as recommended”; “For each exercise, I have been doing the sets/repetitions as recommended”; and, “In the past week, on how many days did you perform the strengthening exercises?”). When available, adherence will also be informed via review of participant workbook, walking program, and strengthening program diaries that they keep over the 12 months.

COVID-19 impact on physical activity

Self-reported impact of COVID-19 on physical activity is assessed via the question, “During the past 4 weeks, has COVID-19 influenced your usual physical activity levels/exercise routines?” with dichotomous response options of “Yes” or “No”. If participants answer yes, they self-report the extent to which COVID-19 has influenced usual physical activity levels/exercise routines on a 6-point Likert scale ranging from “Large reduction” to “Large increase”. Additionally, trial coordinators in Adelaide and Melbourne keep weekly records of the state recommendations and/or restrictions in relation to travel, physical activity, use of public transport, ability to leave the home, etc.

Blinding

Following an explanation to participants that clinical trials typically have an intervention of interest (active intervention) that is tested to see if it is better than the other intervention (control intervention), they are asked to identify which treatment they believe they received (choices: “Active intervention”, “Control intervention”; or “Don’t know”). If they answer, “Don’t know”, they are then asked to make a forced choice decision between active and control intervention [93]. Free text responses are collected regarding the reasons behind their choice (“What led you to believe that you received this treatment?”) and if they were unblinded (“If you discovered which treatment [active or control] you received, please tell us when and/or how you found out.”). Treating physiotherapists are also asked at trial cessation whether they thought they were in the active or control intervention group using similar methodology (three options including “Don’t know”, followed by forced choice and free text responses).

Therapist related factors

Therapist’s beliefs about exercise and about pain will be assessed via the modified Therapist Beliefs about Exercise Questionnaire [94] and the modified Pain Attitudes and Beliefs Scale for Physiotherapists (PABS-PT) [95], respectively. Therapist’s pain knowledge will be assessed using the revised Neurophysiology of Pain Questionnaire (rNPQ) [96] in the EPIPHA-KNEE group only to preserve therapist blinding in the Control group. Therapist’s perceptions of intervention credibility will be assessed using the Modified Intervention Credibility and Expectancy Questionnaire [87]. Last, therapist’s perceived connection with the participant will be self-rated using a 100 mm VAS Connectedness Scale (0 = no connection at all; 100 = maximum connection).

Trial sample size

The Osteoarthritis Research Society International (OARSI) recommends an effect size (d = mean difference/SDdifference) of 0.5 as the minimal clinically important difference (MCID) for outcomes in OA trials [97]. Past work has estimated that PSE increases physical activity by 1165 steps/day (SD = 985) in people with back pain, producing a large effect (d = 1.18) [39]. Given ~ 850 steps/day increase in knee OA populations after intervention (SDdifference = 950) [98] and our pilot data, we anticipate a moderate-large effect in the PSE group and a small effect in the control group at 12 months; consistent with a between group effect size of 0.5. Analysing these data using linear mixed effects modelling, to detect an effect size of d = 0.5 for physical activity using alpha = 0.05, power = 0.90, 4 time points, repeated measures correlation = 0.7, and 20% loss to follow-up [98], 156 participants (78/group) are needed. To additionally adjust for clustering based on therapist (~ 12 therapists/group; ~ 6.5 patients each; ICC = 0.05 [99]), 198 participants (99/group) are then required. The MCID for WOMAC Total at 12 months in people with knee OA undergoing an exercise intervention is 11.5 [100, 101], and given a between group SD from our pilot data of 13.8 (d = 0.83) [42], we are also sufficiently powered for this outcome. We did not adjust the alpha level for multiple comparisons (two primary outcome measures) in our power analysis, but we will present unadjusted p-values and confidence intervals for meaningful interpretation.

Analysis

A full statistical analysis plan will be published prior to undertaking the formal analysis of collected data (including description of secondary analyses). The proposed preliminary analysis plan is detailed below.

Primary analysis

Data will be analysed using intention-to-treat principles with the trial biostatistician blinded to group allocation. We will use linear mixed effects models with random intercepts for individuals (to account for correlation for repeated measures) and will analyse the effect of treatment separately for each outcome. The model will include terms for stratification factors of sex and site. A time-varying, group specific effect (for each group) will be included as covariates for participants with restricted physical activity as a result of location-specific COVID-19 restrictions (based upon official activity restrictions and/or participant reported restrictions; assessment detailed above). Statistical significance will determine whether group-specific covariates or even any COVID-19 related effects are warranted for model parsimony. Multiple imputation will be used for missing data if the assumptions are reasonable [102]. We will construct linear contrasts to compare the adjusted mean change in outcome from baseline to each time point between the EPIPHA-KNEE group and the control group (and 95% confidence interval) to obtain estimates of the intervention effect. We will analyse primary and secondary outcomes without adjustment for multiple measures, but we will present unadjusted p-values and confidence intervals for all pre-specified analyses [103, 104] so readers can make adjustments (e.g., Bonferroni) at the level of Type I error control that they wish, at risk of making Type II errors.

Health economic analysis

A cost-utility analysis will be undertaken from the perspective of the health system. This will be published separately to the main trial findings. The main outcome measure will be quality adjusted life years (QALYs) gained in the intervention group over the 12 month follow-up period as compared with QALYs gained in the control group. To calculate the QALYs gained, the responses to the EQ-5D-5L will be converted into a utility score anchored on a scale from 0 (indicating a health state equivalent to being dead) and 1 (indicating full health) using available preference weights from an Australian general population sample [73]. These utility scores will be converted into QALYs gained for each individual participant by combining utility scores with the information about the time the participant spent experiencing that utility using area under the curve methods. We will also utilise the primary clinical outcome measures from the trial (WOMAC Total physical activity levels) as secondary outcome measures for assessing cost effectiveness. The incremental cost effectiveness ratios (ICER) comparing the costs for an improvement in the outcome (i.e. QALYs) in the intervention group as compared to the control group will be presented and their associated confidence intervals estimated. Cost effectiveness acceptability curves for varying threshold values of cost effectiveness will also be presented. An assessment of the sensitivity of the results obtained to variation in measured resource use effectiveness and/or unit costs will be undertaken using appropriate one-way and multi-way sensitivity analysis [105, 106]. A detailed health economic analysis plan will be published online prior to analysis and unblinding.

Mediation analysis

We will use causal mediation analysis [107] to understand the mechanisms by which PSE affects physical activity and OA symptoms. We will deconstruct the treatment effect into indirect effects via changes in conceptualisation of pain/osteoarthritis, self-efficacy, implicit movement bias, implicit environmental bias, and pain sensitivity to activity.

Ethics

The trial has ethical approval from the University of South Australia Human Research Ethics Committee (HREC No. 20237), the Central Adelaide Local Health Network Human Research Ethics Committee (HREC No. 12579), the University of Melbourne Human Research Ethics Committee (HREC No. 2057540), and Flinders University Human Research Ethics Committee (HREC No. 4478). All participants provide written informed consent for trial participation and for access to Medicare Benefits Scheme and Pharmacological Benefits Scheme data to allow cost effectiveness analysis.

Discussion

Given the increasing burden of knee OA, there is an urgent need for new treatments that promote long-term adherence to physical activity in order to sustain its clinical and health benefits [28]. While evidence for effectiveness of PSE on altering unhelpful beliefs, and improving pain, function and movement/activity has been shown in musculoskeletal conditions such as back pain [29, 35,36,37, 39], it has never before been rigorously evaluated in the context of knee OA. Given that people with knee OA are typically provided with clear findings of structural joint changes, whereas those with back pain are typically not (i.e., ~ 90% of back pain is considered ‘non-specific’, with no structural cause [108]), there may be important differences in the degree to which information highlighting the contribution of central/cognitive factors to pain (versus peripheral, joint-based factors) is accepted. Further, given the established benefits of structured physical activity in reducing pain and disability in people with painful knee OA [3, 4, 8], there is great value in determining whether integrating PSE with a structured physical activity program can improve long-term adherence to activity and reduce OA symptoms.

This trial will be the first to investigate the clinical- and cost-effectiveness of integrating a physiotherapist-led contemporary PSE with an individualised walking, strengthening and general OA education program in knee OA, compared to that program alone. Findings from this study will inform health care providers about the benefit of incorporating PSE into recommended structured physical activity interventions for knee OA. Mediation analyses from this study will also allow us to evaluate the mechanisms by which the PSE intervention worked (or potentially, the reasons it did not), which will enable further improvement of the intervention by identifying potential mediators of therapeutic importance.

A potential limitation of this superiority trial relates to differing treatment duration between intervention groups. While the two groups have an identical number and timing of treatments, each in-person session is longer in the EPIPHA-KNEE group than the control group to accommodate the additional educational content. Such differences may make it difficult to determine whether it is the educational content itself, or the increased time with the therapist that underlies improved outcomes that may be seen. We considered using a sham intervention to increase the control group treatment time to match that of the EPIPHA-KNEE group. However, past work supports that sham educational options can be difficult to devise. For example, a recent trial evaluated the efficacy of PSE in acute low back pain, comparing to a ‘sham education’ control, and showed that sham education increased self-efficacy [109]. While such a sham intervention may capture non-specific features of the educational intervention that contribute to clinical outcome, it becomes problematic if the intervention of interest (PSE) may also work via a similar causal pathway (e.g., by increasing self-efficacy). Further, non-educational sham options may not be ideal. In our previous pilot study, we found that use of sham (deceptive) ultrasound was not well received by treating therapists and induced differing treatment expectations relating to physiotherapy between intervention groups (expectations met in control group versus violated in PSE group) [42].

In the absence of a sham component, it becomes most relevant to consider that a participant’s increased time with the treating therapist (e.g., in the EPIPHA-KNEE group receiving enhanced PSE) may foster stronger therapeutic alliance. However, it is important to note that strong therapeutic alliance not only has the potential for positive effects on clinical outcomes [110], but it may also have negative effects on some clinical outcomes (e.g., fear of movement [111]). Further, situations of poor therapeutic alliance or connectedness may also have negative influences on clinical outcome [112], negating an overall positive effect of increased therapist time on outcome. We will capture data on perceived connectedness in the therapeutic encounter, allowing us to formally explore such a possibility in our analyses. Last, the choice of long-term primary timepoints (12 months) also reduces the risk of increased therapist time influencing clinical outcome, given that a minimum of 3 months occurs between the last in-person session and the assessment timepoint of the primary outcomes.

The findings of this trial will provide Class I evidence for the clinical utility and cost-effectiveness of PSE in the management of symptomatic knee OA. The findings will provide evidence for the routine use of PSE-enhanced education and activity for people with knee OA in Australia. No similar studies have been completed to date in Australia or internationally, thus our findings will be of relevance at both the national and international level.

Availability of data and materials

The datasets used and/or analysed during the current study will be available from the corresponding author (tasha.stanton@unisa.edu.au) on reasonable request once the study has been completed.

Abbreviations

BMI:

Body Mass Index

CEQ:

Credibility/Expectancy Questionnaire

COVID-19:

Coronavirus Disease 2019

EPIPHA-KNEE:

Explaining Pain to Increase Physical Activity in people with Knee osteoarthritis

FREKAQ:

Fremantle Knee Awareness Questionnaire

HREC:

Human Research Ethics Committee

MBS:

Medicare Benefits Scheme

MCID:

Minimal Clinically Important Difference

NICE:

National Institute for Health and Care Excellent

NRS:

Numeric Rating Scale

OA:

osteoarthritis

OACS:

Knee OA and Activity Conceptualisation Scale

OARSI:

Osteoarthritis Research Society International

PBS:

Pharmacological Benefits Scheme

PCS:

Pain Catastrophizing Scale

PABS-PT:

Pain Attitudes and Beliefs Scale for Physiotherapists

PROMIS:

Patient-Reported Outcomes Measurement Information System

PSE:

Pain Science Education

PSEQ:

Pain Self-Efficacy Questionnaire

QALY:

Quality-Adjusted Life Year

RCT:

Randomised Controlled Trial

REDCap:

Research Electronic Database Capture

rNPQ:

revised Neurophysiology of Pain Questionnaire

SA:

South Australia

SD:

Standard Deviation

SMART:

Specific, Measurable, Achievable, Relevant, Time bound

SPIRIT:

Standard Protocol Items: Recommendations for Interventional Trials

TIDieR:

Template for Intervention Description and Replication

VAS:

Visual Analogue Scale

WOMAC:

Western Ontario McMaster

References

  1. March LM, Bagga H. Epidemiology of osteoarthritis in Australia. Med J Aust. 2004;180(S5):S6–10. https://doi.org/10.5694/j.1326-5377.2004.tb05906.x.

    Article  PubMed  Google Scholar 

  2. Access Economics. Painful realities: the economic impact of arthritis in Australia 2007. Arthritis Australia. Available from:https://arthritisaustralia.com.au/wordpress/wpcontent/uploads/2017/09/Painful_Realities_executive_summary_Access_Economics.pdf.

  3. Bennell KL, Hinman RS. A review of the clinical evidence for exercise in osteoarthritis of the hip and knee. J Sci Med Sport. 2011;14(1):4–9. https://doi.org/10.1016/j.jsams.2010.08.002.

    Article  PubMed  Google Scholar 

  4. Fransen M, McConnell S, Harmer AR, et al. Exercise for osteoarthritis of the knee. Cochrane Database of Systematic Reviews.2015, Issue 1. Art. No.: CD004376. https://doi.org/10.1002/14651858.CD004376.pub3.

  5. Wallis JA, Taylor NF. Pre-operative interventions (non-surgical and non-pharmacological) for patients with hip or knee OA awaiting joint replacement surgery - a systematic review and meta-analysis. Osteoarthr Cartilage. 2011;19(12):1381–95. https://doi.org/10.1016/j.joca.2011.09.001.

    Article  Google Scholar 

  6. Dunlop DD, Song J, Lee J, Gilbert AL, Semanik PA, Ehrlich-Jones L, et al. Physical activity minimum threshold predicting improved function in adults with lower limb symptoms. Arthritis Care Res. 2017;69(4):475–83. https://doi.org/10.1002/acr.23181.

    Article  Google Scholar 

  7. Song J, Gilbert AL, Chang RW, Pellegrini CA, Ehrlich-Jones LS, Lee J, et al. Do inactive older adults who increase physical activity experience less disability: evidence from the osteoarthritis initiative. J Clin Rhematol. 2017;23(1):26–32. https://doi.org/10.1097/RHU.0000000000000473.

    Article  Google Scholar 

  8. Wallis JA, Webster KE, Levinger P, Taylor NF. What proportion of people with hip and knee OA meet physical activity guidelines? A systematic review and meta-analysis. Osteoarthr Cartilage. 2013;21(11):1648–59. https://doi.org/10.1016/j.joca.2013.08.003.

    CAS  Article  Google Scholar 

  9. Neusch E, Dieppe P, Reichenbach S, et al. All cause and disease specific mortality in people with osteoarthritis of the knee or hip: population based cohort study. BMJ. 2011;342(mar08 2):d1165. https://doi.org/10.1136/bmj.d1165.

    Article  Google Scholar 

  10. Dobson F, Bennell KL, French SD, Nicolson PJA, Klaasman RN, Holden MA, et al. Barriers and facilitators to exercise participation in people with hip and/or knee OA: synthesis of the literature using behavior change theory. Am J Phys Med Rehabil. 2016;95(5):372–89. https://doi.org/10.1097/PHM.0000000000000448.

    Article  PubMed  Google Scholar 

  11. Wilcox S, Der Ananian C, Abbott J, et al. Perceived exercise barriers, enablers and benefits among exercising and nonexercising adults with arthritis: results from a qualitative study. Arthritis & Rheum. 2006;55(4):616–27. https://doi.org/10.1002/art.22098.

    Article  Google Scholar 

  12. Bunzli S, O'Brien P, Ayton D, et al. Misconceptions and the acceptance of evidence-based nonsurgical interventions for knee osteoarthritis. A qualitative study. Clin Orthop Relat Res. 2019;477(9):1975–83. https://doi.org/10.1097/CORR.0000000000000784.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Pouli N, Nair RD, Lincoln NB, et al. The experience of living with knee OA: exploring illness and treatment beliefs through thematic analysis. Disabil Rehabil. 2014;36(7):600–7. https://doi.org/10.3109/09638288.2013.805257.

    Article  PubMed  Google Scholar 

  14. Edwards RR, Dolman AJ, Martel MO, et al. Variability in conditioned pain modulation predicts response to NSAIDtreatment in patients with knee osteoarthritis. BMC Musculoskelet Disord. 2016;17:284. https://doi.org/10.1186/s12891-016-1124-6.

  15. Helmark IC, Mikkelsen UR, Børglum J, et al. Exercise increases interleukin-10 levels both intraarticularly and perisynoviallyin patients with knee osteoarthritis: a randomized controlled trial. Arthritis Res Ther. 2010;12(4):R126.https://doi.org/10.1186/ar3064.

  16. Liu Y, Ding W, Wang HL, Dai LL, Zong WH, Wang YZ, et al. Gut microbiota and obesity-associated osteoarthritis. Osteoarthr Cartil. 2019;27(9):1257–65. https://doi.org/10.1016/j.joca.2019.05.009.

    CAS  Article  Google Scholar 

  17. Morris JL, Letson HL, Gillman R, Hazratwala K, Wilkinson M, McEwen P, et al. The CNS theory of osteoarthritis: opportunities beyond the joint. Semin Arthritis Rheum. 2019;49(3):331–6. https://doi.org/10.1016/j.semarthrit.2019.03.008.

    CAS  Article  PubMed  Google Scholar 

  18. Roos EM, Dahlberg L. Positive effects of moderate exercise on glycosaminoglycan content in knee cartilage: a four-month, randomized, controlled trial in patients at risk of osteoarthritis. Arthritis Rheum. 2005;52(11):3507–14. https://doi.org/10.1002/art.21415.

    CAS  Article  PubMed  Google Scholar 

  19. Shelby RA, Somers TJ, Keefe FJ, DeVellis BM, Patterson C, Renner JB, et al. Brief fear of movement scale for OA. Arthritis Care Res. 2012;64(6):862–71. https://doi.org/10.1002/acr.21626.

    Article  Google Scholar 

  20. Somers TJ, Keefe FJ, Pells JJ, Dixon KE, Waters SJ, Riordan PA, et al. Pain catastrophizing and pain-related fear in osteoarthritis patients: relationships to pain and disability. J Pain Symptom Manag. 2009;37(5):863–72. https://doi.org/10.1016/j.jpainsymman.2008.05.009.

    Article  Google Scholar 

  21. Holden MA, Nicholls EE, Young J, Hay EM, Foster NE. Role of exercise for knee pain: what do older adults in the community think? Arthritis Care Res. 2012;64(10):1554–64. https://doi.org/10.1002/acr.21700.

    Article  Google Scholar 

  22. Holden MA, Nicholls EE, Hay EM, Foster NE. Physical therapists' use of therapeutic exercise for patients with clinical knee OA in the UK: in line with current recommendations? Phys Ther. 2008;88(10):1109–21. https://doi.org/10.2522/ptj.20080077.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Quicke JG, Foster NE, Thomas MJ, Holden MA. Is long-term physical activity safe for older adults with knee pain? A systematic review. Osteoarthr Cartil. 2015;23(9):1445–56. https://doi.org/10.1016/j.joca.2015.05.002.

    CAS  Article  Google Scholar 

  24. Larsson C, Ekvall Hansoon E, Sundquist K, et al. Impact of pain characteristics and fear-avoidance beliefs on physical activity levels among older adults with chronic pain: a population-based, longitudinal study. BMC Geriatr. 2016;16(1):50. https://doi.org/10.1186/s12877-016-0224-3.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Quicke JG, Foster NE, Ogollah RO, Croft PR, Holden MA. The relationship between attitudes, beliefs and physical activity in older adults with knee pain: secondary analysis of a randomised controlled trial. Arthritis Care Res. 2017;69(8):1192–2000. https://doi.org/10.1002/acr.23104.

    Article  Google Scholar 

  26. Pisters MF, Veenhof C, van Meeteren NL, et al. Long-term effectiveness of exercise therapy in patients with OA of the hip or knee: a systematic review. Arthritis Rheum. 2007;57(7):1245–53. https://doi.org/10.1002/art.23009.

    Article  PubMed  Google Scholar 

  27. Williamson W, Kluzek S, Roberts N, Richards J, Arden N, Leeson P, et al. Behavioural physical activity interventions in participants with lower-limb OA: a systematic review and meta-analysis. BMJ Open. 2015;5(8):e007642. https://doi.org/10.1136/bmjopen-2015-007642.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Mazieres B, Thevenon A, Coudeyre E, et al. Adherence to, and results of, physical therapy programs in patients with hip or knee OA. Development of French clinical practice guidelines. Joint Bone Spine. 2008;75(5):589–96. https://doi.org/10.1016/j.jbspin.2008.02.016.

    Article  PubMed  Google Scholar 

  29. Moseley GL, Butler DS. Fifteen years of explaining pain: the past, present, and future. J Pain. 2015;16(9):807–13. https://doi.org/10.1016/j.jpain.2015.05.005.

    Article  PubMed  Google Scholar 

  30. Smith BE, Moffatt F, Hendrick P, Bateman M, Selfe J, Rathleff MS, et al. Barriers and facilitators of loaded self-managed exercises and physical activity in people with patellofemoral pain: understanding the feasibility of delivering a multicentred randomised controlled trial, a UK qualitative study. BMJ Open. 2019;9(6):e023805. https://doi.org/10.1136/bmjopen-2018-023805.

    Article  PubMed  PubMed Central  Google Scholar 

  31. National Institute for Health and Care Excellence (NICE). Osteoarthritis: care and management. Clinical Guideline [CG177].Published: 12 Feb 2014. Updated: 11 Dec 2020. Available from: https://www.nice.org.uk/guidance/cg177.

  32. Gay C, Chabaud A, Guilley E, Coudeyre E. Education patients about the benefits of physical activity and exercise for their hip and knee osteoarthritis. Systematic literature review. Ann Phys Rehabil Med. 2016;59(3):174–83. https://doi.org/10.1016/j.rehab.2016.02.005.

    CAS  Article  PubMed  Google Scholar 

  33. Focht BC. Effectiveness of exercise interventions in reducing pain symptoms among older adults with knee osteoarthritis: a review. J Aging Phys Act. 2006;14(2):212–35. https://doi.org/10.1123/japa.14.2.212.

    Article  PubMed  Google Scholar 

  34. Kroon FP, van der Burg LR, Buchbinder R, et al. Self-management education programmes for OA. Cochrane Database SystRev. 2014;(1):CD008963. https://doi.org/10.1002/14651858.CD008963.pub2.

  35. Moseley GL. Evidence for a direct relationship between cognitive and physical change during an education intervention inpeople with chronic low back pain. Eur J Pain. 2004;8:39–45. https://doi.org/10.1016/S1090-3801(03)00063-6.

  36. Moseley GL, Nicholas MK, Hodges PW. A randomized controlled trial of intensive neurophysiology education in chronic low back pain. Clin J Pain. 2004;20(5):324–30. https://doi.org/10.1097/00002508-200409000-00007.

    Article  PubMed  Google Scholar 

  37. Moseley GL. Combined physiotherapy and education is efficacious for chronic low back pain. Physiother. 2002;48:297–302.

    Google Scholar 

  38. Moseley GL. Joining forces - combining cognition-targeted motor control training with group or individual pain physiology education: a successful treatment for chronic low back pain. J Man Manip Therapeutics. 2003;11(2):88–94. https://doi.org/10.1179/106698103790826383.

    Article  Google Scholar 

  39. Ryan CG, Gray HG, Newton M, Granat MH. Pain biology education and exercise classes compared to pain biology education alone for individuals with chronic low back pain: a pilot randomised controlled trial. Man Ther. 2010;15(4):382–7. https://doi.org/10.1016/j.math.2010.03.003.

    Article  PubMed  Google Scholar 

  40. Tegner H, Frederiksen P, Esbensen BA, Juhl C. Neurophysiological pain education for patients with chronic low Back pain: a systematic review and Meta-analysis. Clin J Pain. 2018;34(8):778–86. https://doi.org/10.1097/AJP.0000000000000594.

    Article  PubMed  Google Scholar 

  41. Wood L, Hendrick PA. A systematic review and meta-analysis of pain neuroscience education for chronic low back pain: short-and long-term outcomes of pain and disability. Eur J Pain. 2019;23(2):234–49. https://doi.org/10.1002/ejp.1314.

    Article  PubMed  Google Scholar 

  42. Stanton TR, Karran EL, Butler DS, Hull MJ, Schwetlik SN, Braithwaite FA, et al. A pain science education and walking program to increase physical activity in people with symptomatic knee osteoarthritis: a feasibility study. Pain Rep. 2020;5(5):e830. https://doi.org/10.1097/PR9.0000000000000830.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Runhaar J, Beavers DP, Miller GD, Nicklas BJ, Loeser RF, Bierma-Zeinstra S, et al. Inflammatory cytokines mediate the effects of diet and exercise on pain and function in knee osteoarthritis independent of BMI. Osteoarthr Cartil. 2019;27(8):1118–23. https://doi.org/10.1016/j.joca.2019.04.009.

    CAS  Article  Google Scholar 

  44. Voinier D, Neogi T, Stefanik JJ, Guermazi A, Roemer FW, Thoma LM, et al. Using cumulative load to explain how body mass index and daily walking relate to worsening knee cartilage damage over two years: the MOST study. Arthritis Rheumatol. 2020;72(6):957–65. https://doi.org/10.1002/art.41181.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Chan AW, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158(3):200–7. https://doi.org/10.7326/0003-4819-158-3-201302050-00583.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. Brit Med J. 2014;348(mar07 3):g1687. https://doi.org/10.1136/bmj.g1687.

    Article  PubMed  Google Scholar 

  47. Farrar JT, Young JP Jr, LaMoreaux L, et al. Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale. Pain. 2001;94(2):149–58. https://doi.org/10.1016/S0304-3959(01)00349-9.

    Article  PubMed  Google Scholar 

  48. Bennell KL, Egerton T, Martin J, Abbott JH, Metcalf B, McManus F, et al. Effect of physical therapy on pain and function in patients with hip osteoarthritis: a randomized clinical trial. JAMA. 2014;311(19):1987–97. https://doi.org/10.1001/jama.2014.4591.

    CAS  Article  PubMed  Google Scholar 

  49. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81. https://doi.org/10.1016/j.jbi.2008.08.010.

    Article  PubMed  Google Scholar 

  50. Urbaniak GC, Plous S. Research Randomizer (Version 4.0) [Computer software] 2013. Available from:http://www.randomizer.org/.

  51. Chi MTH, Wylie R. The ICAP framework: linking cognitive engagement to active learning outcomes. Educ Psychol. 2014;49(4):219–43. https://doi.org/10.1080/00461520.2014.965823.

    Article  Google Scholar 

  52. Gadgil S, Nokes-Malach TJ, Chi MTH. Effectiveness of holistic mental model confrontation in driving conceptual change. Learn Instr. 2012;22(1):47–61. https://doi.org/10.1016/j.learninstruc.2011.06.002.

    Article  Google Scholar 

  53. Zimmerman BJ. Becoming a self-regulated learner: an overview. Theory Pract. 2002;41(2):64–70. https://doi.org/10.1207/s15430421tip4102_2.

    Article  Google Scholar 

  54. Moseley GL. Do training diaries affect and reflect adherence to home programs? Arthritis Care Res. 2006;55(4):662–4. https://doi.org/10.1002/art.22086.

    Article  Google Scholar 

  55. Foster ED, Deardorff A. Open Science Framework (OSF). J Med Libr Assoc. 2017;105(2):203–6.

    PubMed Central  Google Scholar 

  56. Butler DS, Moseley GL, Stanton TR. The Explain Pain Handbook: Knee osteoarthritis. Adelaide, South Australia: NOIgrouppublications; NOIgroup Australasia Pty Ltd.; In press.

  57. Arthritis Australia. Taking control of your osteoarthritis: A practical guide to treatments, services and lifestyle choices. 2009,reviewed Nov 2016. p. 1–31. Available from: https://arthritisaustralia.com.au/wordpress/wpcontent/uploads/2018/02/ArthAus_Osteoarthritis.pdf.

  58. World Health Organization. WHO guidelines on physical activity and sedentary behaviour, Nov 2020. Available from: https://www.who.int/publications/i/item/9789240015128.

  59. Antcliff D, Keeley P, Campbell M, Woby S, Keenan AM, McGowan L. Activity pacing: moving beyond taking breaks and slowing down. Qual Life Res. 2018;27(7):1933–5. https://doi.org/10.1007/s11136-018-1794-7.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Bennell KL, Kyriakides M, Metcalf B, Egerton T, Wrigley TV, Hodges PW, et al. Neuromuscular versus quadriceps strengthening exercise in patients with medial knee osteoarthritis and varus malalignment: a randomized controlled trial. Arthritis Rheumatol. 2014;66(4):950–9. https://doi.org/10.1002/art.38317.

    Article  PubMed  Google Scholar 

  61. McDermott MM, Newman AB. Preserving clinical trial integrity during the coronavirus pandemic. JAMA. 2020;323(21):2135–6. https://doi.org/10.1001/jama.2020.4689.

    CAS  Article  PubMed  Google Scholar 

  62. Bellamy N, Buchanan WW, Goldsmith CH, et al. Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee. J Rheumatol. 1988;15(12):1833–40.

    CAS  PubMed  Google Scholar 

  63. Troiano RP, Berrigan D, Dodd KW, et al. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181–8. https://doi.org/10.1249/mss.0b013e31815a51b3.

    Article  PubMed  Google Scholar 

  64. Troiano RP, McClain JJ, Brychta RJ, et al. Evolution of accelerometer methods for physical activity research. Br J Sports Med. 2014;48(13):1019–23. https://doi.org/10.1136/bjsports-2014-093546.

    Article  PubMed  Google Scholar 

  65. Kovar PA, Allengrante JP, MacKenzie CR, et al. Supervised fitness walking in patients with OA of the knee: a randomized, controlled trial. Ann Intern Med. 1992;116(7):529–34. https://doi.org/10.7326/0003-4819-116-7-529.

    CAS  Article  PubMed  Google Scholar 

  66. White DK, Tudor-Locke C, Zhang Y, Fielding R, LaValley M, Felson DT, et al. Daily walking the risk of incident functional limitation in knee OA: an observational study. Arthritis Care Res. 2014;66(9):1328–36. https://doi.org/10.1002/acr.22362.

    Article  Google Scholar 

  67. Gardiner PA, Clark BK, Healy GN, et al. Measuring older adults' sedentary time: reliability, validity and responsiveness. Med Sci Sports Exerc. 2011;43(11):2127–33. https://doi.org/10.1249/MSS.0b013e31821b94f7.

    Article  PubMed  Google Scholar 

  68. McConnell S, Kolopack P, Davis AM. The Western Ontario and McMaster universities osteoarthritis index (WOMAC): a review of its utility and measurement properties. Arthritis Rheum. 2001;45(5):453–61. https://doi.org/10.1002/1529-0131(200110)45:5<453::AID-ART365>3.0.CO;2-W.

  69. Cella D, Choi SW, Condon DM, Schalet B, Hays RD, Rothrock NE, et al. PROMIS(®) adult health profiles: efficient short-form measures of seven health domains. Value Health. 2019;22(5):537–44. https://doi.org/10.1016/j.jval.2019.02.004.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–96. https://doi.org/10.2307/2136404.

    CAS  Article  PubMed  Google Scholar 

  71. Warttig SL, Forshaw MJ, South J, White AK. New, normative, English-sample data for the short form perceived stress scale (PSS-4). J Health Psychol. 2013;18(12):1617–28. https://doi.org/10.1177/1359105313508346.

    Article  PubMed  Google Scholar 

  72. McWilliams LA, Kowal J, Wilson KG. Development and evaluation of short forms of the pain catastrophizing scale and the pain self-efficacy questionnaire. Eur J Pain. 2015;19(9):1342–9. https://doi.org/10.1002/ejp.665.

    CAS  Article  PubMed  Google Scholar 

  73. Herdman M, Gudex C, Lloyd A, Janssen MF, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20(10):1727–36. https://doi.org/10.1007/s11136-011-9903-x.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  74. Nishigami T, Mibu A, Tanaka K, Yamashita Y, Yamada E, Wand BM, et al. Development and psychometric properties of knee-specific body-perception questionnaire in people with knee osteoarthritis: the Fremantle knee awareness questionnaire. PLoS One. 2017;12(6):e0179225. https://doi.org/10.1371/journal.pone.0179225.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  75. ten Klooster PM, Drossaers-Bakker KW, Taal E, et al. Patient-perceived satisfactory improvement (PPSI): interpreting meaningful change in pain from the patient's perspective. Pain. 2006;121(1–2):151–7. https://doi.org/10.1016/j.pain.2005.12.021.

    Article  PubMed  Google Scholar 

  76. Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol. 2008;167(7):875–81. https://doi.org/10.1093/aje/kwm390.

    Article  PubMed  Google Scholar 

  77. Smuck M, Tomkins-Lane C, Ith MA, Jarosz R, Kao MCJ. Physical performance analysis: a new approach to assessing free-living physical activity in musculoskeletal pain and mobility-limited populations. PLoS One. 2017;12(2):e0172804. https://doi.org/10.1371/journal.pone.0172804.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  78. Groll DL, To T, Bombardier C, et al. The development of a comorbidity index with physical function as the outcome. J Clin Epidemiol. 2005;58(6):595–602. https://doi.org/10.1016/j.jclinepi.2004.10.018.

    Article  PubMed  Google Scholar 

  79. Nicholas MK. The pain self-efficacy questionnaire: taking pain into account. Eur J Pain. 2007;11(2):153–63. https://doi.org/10.1016/j.ejpain.2005.12.008.

    Article  PubMed  Google Scholar 

  80. Greenwald AG, McGhee DE, Schwartz JLK. Measuring individual differences in implicit cognition: the implicit association test. J Pers Soc Psychol. 1998;74(6):1464–80. https://doi.org/10.1037/0022-3514.74.6.1464.

    CAS  Article  PubMed  Google Scholar 

  81. Witt JK, Linkenauger SA, Bakdash JZ, Augustyn JS, Cook A, Proffitt DR. The long road of pain: chronic pain increases perceived distance. Exp Brain Res. 2009;192(1):145–8. https://doi.org/10.1007/s00221-008-1594-3.

    Article  PubMed  Google Scholar 

  82. Stefanucci JK, Proffitt DR, Clore GL, Parekh N. Skating down a steeper slope: fear influences the perception of geographical slant. Perception. 2008;37(2):321–3. https://doi.org/10.1068/p5796.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Wideman TH, Finan PH, Edwards RR, Quartana PJ, Buenaver LF, Haythornthwaite JA, et al. Increased sensitivity to physical activity among individuals with knee osteoarthritis: relation to pain outcomes, psychological factors, and responses to quantitative sensory testing. Pain. 2014;155(4):703–11. https://doi.org/10.1016/j.pain.2013.12.028.

    Article  PubMed  Google Scholar 

  84. Stanton TR, Lin C-WC, Smeets RJEM, Taylor D, Law R, Lorimer Moseley G. Spatially defined disruption of motor imagery performance in people with osteoarthritis. Rheumatology (Oxford). 2012;51(8):1455–64. https://doi.org/10.1093/rheumatology/kes048.

    Article  Google Scholar 

  85. Stanton TR, Lin CW, Bray H, et al. Tactile acuity is disrupted in osteoarthritis but is unrelated to disruptions in motor imagery performance. Rheumatology (Oxford). 2013;52(8):1509–19. https://doi.org/10.1093/rheumatology/ket139.

    Article  Google Scholar 

  86. Pintrich PR, Smith DAF, Duncan T, et al. A manual for the use of the Motivated Strategies for Learning Questionnaire(MSLQ), 1991. Ann Arbor, Mich: National Center for Research to Improve Postsecondary Teaching and Learning

  87. Devilly GJ, Borkovec TD. Psychometric properties of the credibility/expectancy questionnaire. J Behav Ther Exp Psychiatry. 2000;31(2):73–86. https://doi.org/10.1016/S0005-7916(00)00012-4.

    CAS  Article  PubMed  Google Scholar 

  88. Rhodes RE, Hunt Matheson D, Mark R. Evaluation of social cognitive scaling response options in the physical activity domain. Meas Phys Educ Exerc Sci. 2010;14(3):137–50. https://doi.org/10.1080/1091367X.2010.495539.

    Article  Google Scholar 

  89. Australian Government Department of Health. Manual of resource items and their associated unit costs Canberra, Australia,2016. Available from: https://www.pbs.gov.au/info/industry/useful-resources/manual

  90. Australian Government Department of Health. MBS Online Medicare Benefits Schedule 2018. Available from:http://www.mbsonline.gov.au/internet/mbsonline/publishing.nsf/Content/Home.

  91. Australian Government Department of Health. The Pharmaceutical Benefits Scheme. 2018. Available from:https://www.pbs.gov.au/pbs/home.

  92. Independent Hospital Pricing Authority. National Hospital Cost Data Collection. Sydney, Australia 2019. Available from:https://www.ihpa.gov.au/what-we-do/nhcdc

  93. Bang H, Flaherty SP, Kolahi J, Park J. Blinding assessment in clinical trials: a review of statistical methods and a proposal of blinding assessment protocol. Clin Res Regul Aff. 2010;27(2):42–51. https://doi.org/10.3109/10601331003777444.

    Article  Google Scholar 

  94. Cottrell E, Foster NE, Porcheret M, Rathod T, Roddy E. GPs' attitudes, beliefs and behaviours regarding exercise for chronic knee pain: a questionnaire survey. BMJ Open. 2017;7(6):e014999. https://doi.org/10.1136/bmjopen-2016-014999.

    Article  PubMed  PubMed Central  Google Scholar 

  95. Houben RM, Ostelo RW, Vlaeyen JW, et al. Health care providers' orientations towards common low back pain predict perceived harmfulness of physical activities and recommendations regarding return to normal activity. Eur J Pain. 2005;9(2):173–83. https://doi.org/10.1016/j.ejpain.2004.05.002.

    Article  PubMed  Google Scholar 

  96. Catley MJ, O'Connell NE, Moseley GL. How good is the neurophysiology of pain questionnaire? A Rasch analysis of psychometric properties. J Pain. 2013;14(8):818–27. https://doi.org/10.1016/j.jpain.2013.02.008.

    Article  PubMed  Google Scholar 

  97. Messier SP, Callahan LF, Golightly YM, Keefe FJ. OARSI clinical trials recommendations: design and conduct of clinical trials of lifestyle diet and exercise interventions for OA. Osteoarthr Cartilage. 2015;23(5):787–97. https://doi.org/10.1016/j.joca.2015.03.008.

    CAS  Article  Google Scholar 

  98. Talbot LA, Gaines JM, Huynh TN, Metter EJ. A home-based pedometer-drive walking program to increase physical activity in older adults with OA of the knee: a preliminary study. JAGS. 2003;51(3):387–92. https://doi.org/10.1046/j.1532-5415.2003.51113.x.

    Article  Google Scholar 

  99. Bennell KL, Campbell PK, Egerton T, Metcalf B, Kasza J, Forbes A, et al. Telephone coaching to enhance a home-based physical activity program for knee osteoarthritis: a randomized clinical trial. Arthritis Care Res. 2017;69(1):84–94. https://doi.org/10.1002/acr.22915.

    Article  Google Scholar 

  100. Fitzgerald GK, Piva SR, Gil AB, Wisniewski SR, Oddis CV, Irrgang JJ. Agility and perturbation training techniques in exercise therapy for reducing pain and improving function in people with knee osteoarthritis: a randomized clinical trial. Phys Ther. 2011;91(4):452–69. https://doi.org/10.2522/ptj.20100188.

    Article  PubMed  PubMed Central  Google Scholar 

  101. Williams VJ, Piva SR, Irrgang JJ, Crossley C, Fitzgerald GK. Comparison of reliability and responsiveness of patient-reported clinical outcome measures in knee osteoarthritis rehabilitation. J Orthop Sports Phys Ther. 2012;42(8):716–23. https://doi.org/10.2519/jospt.2012.4038.

    Article  PubMed  PubMed Central  Google Scholar 

  102. Madley-Dowd P, Hughes R, Tilling K, Heron J. The proportion of missing data should not be used to guide decisions on multiple imputation. J Clin Epidemiol. 2019;110:63–73. https://doi.org/10.1016/j.jclinepi.2019.02.016.

    Article  PubMed  PubMed Central  Google Scholar 

  103. Feise RJ. Do multiple outcome measures require p-value adjustment? BMC Med Res Methodol. 2002;2(1):8. https://doi.org/10.1186/1471-2288-2-8.

    Article  PubMed  PubMed Central  Google Scholar 

  104. Perneger TV. What's wrong with Bonferroni adjustments. BMJ. 1998;316(7139):1236–8. https://doi.org/10.1136/bmj.316.7139.1236.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  105. Brazier J, Ratcliffe J, Salomon J, et al. Measuring and valuing health benefits for economic evaluation. 2nd edition ed. Oxford: Oxford University Press; 2016.

    Book  Google Scholar 

  106. Drummond M, Sculpher M, Claxton K, et al. Methods for the economic evaluation of health care programmes. 2nd edition ed. Oxford: Oxford University Press; 2015.

    Google Scholar 

  107. Imai K, Keele L, Tingley D. A general approach to causal mediation analysis. Psychol Methods. 2010;15(4):309–34. https://doi.org/10.1037/a0020761.

    Article  PubMed  Google Scholar 

  108. Koes BW, van Tulder MW, Thomas S. Diagnosis and treatment of low back pain. BMJ (Clinical research ed). 2006;332(7555):1430–4. https://doi.org/10.1136/bmj.332.7555.1430.

    CAS  Article  Google Scholar 

  109. Traeger AC, Lee H, Hübscher M, Skinner IW, Moseley GL, Nicholas MK, et al. Effect of intensive patient education vs placebo patient education on outcomes in patients with acute low Back pain: a randomized clinical trial. JAMA Neurol. 2019;76(2):161–9. https://doi.org/10.1001/jamaneurol.2018.3376.

    Article  PubMed  Google Scholar 

  110. Moore AJ, Holden MA, Foster NE, et al. Therapeutic alliance facilitates adherence to physiotherapy-led exercise and physical activity for older adults with knee pain: a longitudinal qualitative study. J Phys. 2020;66(1):45–53.

    Google Scholar 

  111. Lawford BJ, Bennell KL, Campbell PK, Kasza J, Hinman RS. Association between therapeutic Alliance and outcomes following telephone-delivered exercise by a physical therapist for people with knee osteoarthritis: secondary analyses from a randomized controlled trial. JMIR Rehabil Assist Technol. 2021;8(1):e23386. https://doi.org/10.2196/23386.

    Article  PubMed  PubMed Central  Google Scholar 

  112. Kelley JM, Lembo AJ, Ablon JS, Villanueva JJ, Conboy LA, Levy R, et al. Patient and practitioner influences on the placebo effect in irritable bowel syndrome. Psychosom Med. 2009;71(7):789–97. https://doi.org/10.1097/PSY.0b013e3181acee12.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The research team would like to acknowledge Ms. Anna Vogelzang for her contribution to the production of the EPIPHA-KNEE Explain Pain Osteoarthritis Handbook and to Professor Matthew Smuck (Stanford University) for his initial assistance with planning physical activity assessment methods during study conception and funding procurement.

Funding

This study is funded by the National Health & Medical Research Council (NHMRC) of Australia (Project grant ID1161634). TRS is supported by a NHMRC Career Development Fellowship (ID1141735) and FAB by the John Stuart Colville Fellowship (Arthritis Foundation of South Australia). BWP is supported by a UniSA University President’s Scholarship and EM is supported by a UniSA Postgraduate Award; both are also supported by a National Health & Medical Research Council Project Grant to TRS (ID 1161634). BM is supported by a Leadership Investigator Grant from the National Health & Medical Research Council of Australia to GLM (ID 1178444).

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Authors and Affiliations

Authors

Contributions

TRS, GLM, CH, CTL, and KB conceived the idea for the study. TRS, FAB and KB are leading the trial. TRS, GLM, CH, CTL, MS, JR, AE, and KB obtained funding for the study. All authors designed the trial protocol. DB, GLM, and TRS produced the EP OA handbook. TRS, FAB, DB, GLM, EM, BP, KB designed the participant resources. BWP developed the website and BWP and BM developed the trial databases. TRS and AE performed the sample size calculation and randomisation procedures. TRS, AE, and TS devised the statistical analysis. JR and RM designed the health economic evaluation. TRS and FAB drafted the manuscript with input from other others. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Tasha R. Stanton.

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Ethics approval and consent to participate

Ethical approval has been obtained from the University of South Australia Human Research Ethics Committee (HREC No. 20237), the Central Adelaide Local Health Network Human Research Ethics Committee (HREC No. 12579), the University of Melbourne Human Research Ethics Committee (HREC No. 2057540), and Flinders University (HREC No. 4478). All participants will provide informed consent.

Consent for publication

Not applicable.

Competing interests

TRS receives payment for lectures on pain and rehabilitation. TRS, DB, and GLM are authors of the Explain Pain Osteoarthritis Handbook and will receive royalties from sales should it progress to market. GLM and DB receive author royalties for other related books on pain and rehabilitation. GLM has received support from Reality Health, ConnectHealth, sporting organisations and various workers’ compensation and income protection insurers for work related to pain education and rehabilitation and has received payment for lectures on pain and rehabilitation. FAB has received speaker fees for providing lectures related to pain and blinding in clinical trials. BWP has received honoraria from Elsevier for contributing to a textbook on geriatric physical therapy. BM receives remuneration from The Knowledge Exchange for provision of continuing professional development workshops related to pain and exercise rehabilitation. KB received payments from Wolters Kluwer for UpToDate clinical OA guidelines.

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Stanton, T.R., Braithwaite, F.A., Butler, D. et al. The EPIPHA-KNEE trial: Explaining Pain to target unhelpful pain beliefs to Increase PHysical Activity in KNEE osteoarthritis – a protocol for a multicentre, randomised controlled trial with clinical- and cost-effectiveness analysis. BMC Musculoskelet Disord 22, 738 (2021). https://doi.org/10.1186/s12891-021-04561-6

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Keywords

  • Osteoarthritis
  • Physical activity
  • Exercise
  • Walking program
  • Strengthening program
  • Pain science education
  • RCT
  • Physiotherapy