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Supported self-management for all with musculoskeletal pain: an inclusive approach to intervention development: the EASIER study

Abstract

Background

Supported self-management interventions for patients with musculoskeletal (MSK) conditions may not adequately support those with limited health literacy, leading to inequalities in care and variable outcomes. The aim of this study was to develop a model for inclusive supported self-management intervention(s) for MSK pain that take account of health literacy.

Methods

A mixed methods study with four work-packages was conducted: work package 1: secondary analysis of existing data to identify potential targets for intervention; work package 2: evidence synthesis to assess effective components of self-management interventions taking into account health literacy; work package 3: views of community members and healthcare professionals (HCPs) on essential components; work package 4: triangulation of findings and an online modified Delphi approach to reach consensus on key components of a logic model.

Findings

Findings identified targets for intervention as self-efficacy, illness perceptions, and pain catastrophizing. A range of intervention components were identified (e.g. information in diverse formats offered at specific times, action planning and visual demonstrations of exercise). Support should be multi-professional using a combination of delivery modes (e.g. remote, face-to-face).

Conclusions

This research has developed a patient-centred model for a multi-disciplinary, multi-modal approach to supported self-management for patients with MSK pain and varying levels of health literacy. The model is evidence-based and acceptable to both patients and HCPs, with potential for significant impact on the management of MSK pain and for improving patient health outcomes. Further work is needed to establish its efficacy.

Peer Review reports

Background

Musculoskeletal (MSK) conditions affect over 17 million people across the UK [1], and are a major cause of pain and disability worldwide, with substantial impacts on both quality of life and healthcare resource use [2]. The mainstay of NHS treatment for MSK pain is supported self-management. However, research evidence for the effectiveness of supported self-management programmes for MSK health has been, at best, mixed [3, 4]. A Cochrane review of self-management programmes for osteoarthritis concluded that these programmes conferred ‘little or no benefit’ and recommended that future intervention development should consider patient health literacy (HL) to explore issues of health equity [5].

HL refers to the personal characteristics and social resources needed for individuals and communities to access, understand, appraise and use information and services to make decisions about health [6]. Limited HL is an issue with high prevalence in the UK and internationally [7]. Recent studies have shown that 43% of the English population have limited HL [7, 8]. This figure rises to 61% when health information involves numeracy [7, 8].

Limited HL is associated with poorer health, greater illness and increased healthcare costs [9,10,11]. People with low socio-economic status or low levels of education are also more likely to have poorer HL [12, 13]. Such health inequity has been recognised by the World Health Organization, which has identified HL as a critical determinant of health; one that empowers individuals and enables their engagement in health. It is integral to people developing the skills, knowledge and self-efficacy over their lifetimes to meaningfully act on that knowledge, within their cultural and political contexts, so as to maintain good health [14].

Health services are increasingly delegating the work of managing MSK conditions to patients themselves [15], yet people with limited HL are less likely to be able to do this successfully. Specific disadvantages that people with limited HL experience when living with MSK pain are related to understanding complex information about the condition and managing complicated medication regimes. The well-documented issues of limited HL and medication management are particularly important in MSK pain, as many medications can have severe or even life-threatening complications if not correctly managed [16,17,18].

There is evidence that healthcare professionals (HCPs) find pain management in patients with limited HL challenging [19]. Furthermore, the disappointing results of self-management approaches for patients with MSK pain may be partly explained by limited HL, suggesting that this under-served group requires better support to successfully manage their condition [20].

In the light of such evidence around the importance of HL and its role in the effective management of MSK pain, there is a need to develop acceptable and useful patient support, educational materials and/or patient resources to better support both such patients and the HCPs working with them [19,20,21,22].

The aim of the EASIER (achEs And painS and lIving bEtteR) study was to develop a logic model to explain how a supported self-management intervention could address potential mediators, and lead to improved health outcomes for people who have MSK pain and varying levels of HL.

Methods

The EASIER study consisted of 4 inter-linked work packages, in a mixed-methods concurrent-sequential design. Work Packages 1, 2 and 3 were conducted concurrently, and the findings were synthesized in work package 4 to produce an evidence-based logic model (see Fig. 1).

Fig. 1
figure 1

EASIER study work packages

Work Package 1 (WP1): Analysis of the relationship between HL and MSK health outcomes

The objective of WP1 was to use longitudinal analysis methods to investigate the relationship between limited HL and poor MSK health outcomes in existing datasets and identify potential intervention target(s) by examining factors that influence (moderate) and explain (mediate) the relationship.

The study team took a pragmatic approach to selecting the datasets for analysis in work package 1. The studies chosen were readily available internal datasets that members of the EASIER study team had been involved in previously and were familiar with. We analysed data from three existing studies (two prospective cohort designs, one cluster randomized controlled trial (RCT)) including patients presenting with MSK pain in primary care (Keele Aches and Pains Study (KAPS) [23], Treatment of Aches and PainS (TAPS) [24] and Stepping up the Evidence for Musculoskeletal Services (STEMS) [25] to further investigate the effect of limited HL on MSK health outcomes in three different samples. KAPS, TAPS and STEMS provide rich sources of data (including socio-demographic, psychological and consultation-related factors), which provided the opportunity to examine the underlying mechanisms of the relationship between HL and musculoskeletal pain and function outcomes (see Additional file 1).

Sample size calculation

The sample size requirement was based on expected power of 0.8, with up to 7 observed variables on expected direct effects (0.1 to 0.45) for a structural equation model (mediation and moderation), requiring 140 to 400 participants for model structure [22].

Work Package 1a (WP1a): Moderation

In KAPS, TAPS and STEMS we examined the association between HL (using a validated measure of HL, the Single Item Literacy Screener) [26] and MSK pain and function outcome at follow-up. The HL question in Morris et al. is: “How often do you need to have someone help you when you read instructions on pamphlets, or other written material from your doctor or pharmacy?” [26]. For simplification and clinical interpretation, a cut-off for having ‘limited’ HL was defined as having difficulty or requiring someone to help at least some of the time.

The three datasets included valid scale measurement of pain and function outcomes (0–10 numerical rating scale (in KAPS and TAPS, [27]) and SF-12 (in STEMS, [28]), and have multiple data collection time points to assess the temporal relationships between variables. The final follow-up time point in each study is used to define the outcome time reference in this study: hence, 6 months for KAPS and TAPS and 12 months for STEMS.

Potential confounders accounted for in the analyses were: age; gender; education; employment status; socio-economic status; co-morbidities; living alone; accommodation ownership. Association between HL and pain and function were examined before and after covariate adjustment.

Potential moderation

The relationship between HL and the outcomes of pain intensity or physical function may be different within different population socio-demographic subgroups. Hence, we examined whether the same socio-demographic variables (given above) moderated any association between HL and pain / function outcome, which may further help in informing the strategy for targeting of any possible intervention.

Statistical analysis

Beyond crude (unadjusted) association, the association of HL with pain intensity and function at final follow-up was analysed using a stepped general linear model, with step 1 adjusting for socio-demographic factors (age, gender, education (age left school, further education, qualifications as an adult)) and socio-economic status, step 2 additionally adjusting for baseline co-morbidities and mental health status, and step 3 further adjusting for baseline pain duration and corresponding baseline values of the outcome measures (pain and function), to estimate the level of independent association of pain and functional outcome with HL.

To examine moderation we modelled the individual interaction effects between each of the baseline socio-demographic / health variables and the HL variable (through inclusion of the interaction term as well as the main effects terms in the regression model e.g. age x literacy included alongside age and literacy terms). Since moderator evaluations are generally under-powered relative to main-effects evaluations we report the interactions that give p-values less than 0.1.

Work Package 1b (WP1b): Mediation

We conducted a mediation analysis [29, 30] to identify potential intervention targets that may explain the predictive relationship between limited HL and poor outcomes. Several factors from the published literature were considered as potential intervention targets, including pain self-efficacy [31], psychological factors (illness perceptions [32]); pain catastrophizing [33], consultation experience (communication) [34], and sleep problems [35].

Further, we conducted moderation analysis to explore factors that affect the strength of the mediation relationships between HL at baseline, the mediators, and outcomes (pain intensity, physical function). This analysis (moderated mediation) potentially identifies sub-groups of individuals where mediation affect is increased/decreased, which will help support intervention development.

Statistical analysis

Structural equation modelling (SEM) was used to conduct the mediation analyses. Unstandardised and standardised model coefficients are presented for the indirect effects through mediation and the affiliated p-values. The percent indirect effect through the mediation variables (relative to the total effect of HL on pain / function outcomes) are presented. The mediation models included age, gender, comorbidity and education/ socio-economic status as covariates.

For those mediator variables accounting for at least a quarter (≥ 25%) of the total effect, further evaluation was carried out to assess whether socio-demographic subgroups based on age, gender, education, co-morbidity and socio-economic status, modified the mediation effect.

All statistical analyses were carried out using IBM SPSS version24, AMOS and STATA_v15.

Work Package 2 (WP2): Evidence synthesis to identify components of supported self-management suitable for people with limited HL

The objective of WP2 was to summarize evidence from previous trials to identify which types of interventions, or components of interventions, aiming to support self-management of a long-term condition (e.g. diabetes, asthma/COPD, heart failure, inflammatory bowel disease, chronic pain, long-term depression) have been developed specifically for people with limited health literacy and demonstrated to be effective. For example, supported self-management interventions may include components focusing on lifestyle (e.g. improving physical activity); pain education, medication management, or mind–body therapy.

An evidence synthesis was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and meta-Analyses) and registered with the International prospective register of systematic reviews (PROSPERO ID: CRD: 42019136424). An experienced information specialist (NC) designed and conducted searches from 2009 until March 2019 in MEDLINE (OVID), EMBASE (OVID), CINAHLPlus (EBSCO), AMED (OVID), PsycINFO (EBSCO) and the Cochrane Library (see Additional file 2).

Given the broad topics of searches we took an efficient approach to identifying relevant RCTs, by conducting (a) searches to identify recent systematic reviews of relevant RCTs (past 10 years), and (b) updated searches to identify more recently published relevant individual RCTs. Additional methods for identifying eligible studies included: (i) checking reference lists of included RCTs and systematic reviews; (ii) consulting experts for additional studies; and (iii) citation tracking of key documents/reports or systematic reviews. We included RCTs of any design (e.g. individual or cluster randomisation, step-wedge design). All other study designs were excluded (e.g. non-randomised controlled studies; cross-sectional designs; case reports).

We included studies of supported self-management interventions developed for adults diagnosed with at least one long-term condition (LTC) (e.g. diabetes, asthma/COPD, heart failure, inflammatory bowel disease, chronic pain, long-term depression) and who had been identified with limited HL using a validated measure. Interventions could include components focusing on lifestyle (e.g. improving physical activity), pain education, medication management, or mind–body therapy. The review included studies conducted in primary care, community care, occupational healthcare or rehabilitation settings, studies conducted in hospital settings were excluded, except for those concerning supported self-management interventions provided at discharge.

Eligibility screening of titles and abstracts, then full texts, was conducted by sets of two review authors independently. Disagreements were resolved by discussion or by consulting a third reviewer where necessary. A standardised data extraction form was developed, piloted and used to collect data for analysis. Study-level data were collected on healthcare setting; selection criteria; population characteristics; characteristics of investigated interventions; process measures (acceptability, feasibility, impact on services); outcome measures; and effect estimates. The TIDIER (Template for Intervention Description and Replication) checklist was used to extract details regarding included interventions [36]. Data extraction and assessment of risk of bias, using the Cochrane risk of bias tool, was undertaken by one review author and checked by a second reviewer. Using the findings of the review we constructed a list of intervention components and modes of delivery that were included in supported self-management interventions shown to be effective (superior) compared to control interventions.

To ensure we had a comprehensive approach to identifying relevant self-management approaches that are relevant and suitable for people with MSK conditions, we also conducted an umbrella review (overview of systematic reviews, PROSPERO: CRD42019136462) which summarised evidence of interventions to support self-management specifically in people with MSK pain, and included a focus on varying levels of health literacy [37]. This work fed into work package 4.

Work Package 3 (WP3): Qualitative investigation of the experiences of people living with MSK pain, HCPs and experts around self-management of MSK pain

The objective of WP3 was to examine the experiences of people living with MSK pain, HCPs and experts around self-management of MSK pain, and their views on the most appropriate intervention components that are also suitable for people with varying levels of HL.

This work package explored:

  • 1. Personal and/or professional experiences around MSK condition self-management.

  • 2. Potential targets for intervention for supported self-management and for intervention design identified in WP1.

  • 3. Appropriate intervention components and how best to deliver them in primary care for patients with varying levels of HL.

A qualitative design was employed comprising 4 focus groups [38]. Focus group methodology was chosen as it provides a means of eliciting diversity, dimensions and nuances to a problem that one individual may not have thought of, and may result in a very different understanding emerging than had been originally envisaged. The intention of the focus groups was not to generate consensus, but to allow participants to share their own experiences, generating further questions and concepts for discussion [39, 40], and thus generate a richer understanding of the phenomenon.

In addition to a topic guide, we used a case vignette focused on a fictional character ‘Robert’ who has MSK pain and may have problems with their HL. The case vignette was introduced as an ‘ice-breaker’ at the start of each focus group to help facilitate and focus the discussion around what can be a sensitive issue for some participants (Additional file 3). The case vignette and topic guides were refined through advice from our Patient and Public Involvement and Engagement (PPIE) group.

All discussions were audio-recorded with consent, fully transcribed and anonymised before analysis. Researchers also kept detailed field notes which were incorporated into the data analysis. PPIE members were also involved in the analysis process and agreed to the main themes developed.

Recruitment

Purposive sampling was used to identify informant rich cases to ensure a wide range of perspectives was included [41].

Community members with an MSK condition

We conducted 3 focus groups with two researchers facilitating each group. The focus groups were held at venues in local communities.

Participants were recruited through relevant existing community groups and classes/groups within or recommended by the Workers Education Association (WEA), who have expertise in working in community settings with those with limited HL (see Additional file 4).

Professionals

To ensure a broad range of perspectives in our professional stakeholder group, we included a range of HCPs (e.g. GPs, nurses, physiotherapists, rheumatologists, psychologists), experts in HL, and 3rd sector experts working with people with limited HL. Participants were recruited via professional network (see Additional file 4).

Eligibility criteria

  • • Community members with self-reported diagnosis of an MSK condition or Professionals whose services engage with those with MSK pain and/or varying levels of HL

  • • Aged ≥ 18 years

  • • English speaking

  • • Able to provide informed consent

Data analysis

Reflecting the mixed methods approach to data collection, metaphor elicitation was adopted within a framework approach [42] to thematically analyse the data, emphasising data integration throughout the process of collection and analysis [43]. An iterative approach was undertaken, with analysis beginning from the first data collection and emerging findings checked out in subsequent data collection, and across the two groups. The analysis was carried out by a team of coders to ensure inter-coder reliability [42].

Work Package 4 (WP4): Triangulation of findings from work packages 2 and 3 and modified Delphi consensus study to produce an evidence-based logic model

The objective of WP4 was to triangulate findings from WP2 and WP3 and determine a consensus from patients, HCPs and experts on the factors that should be included in better ways of supporting people to manage their MSK condition that is also suitable for people with varying levels of limited HL.

Work package 4a (WP4a): Triangulation of findings and a modified online Delphi consensus study

Firstly, an evidence table was produced through triangulation of the findings from work packages 2 and 3 by the research team. ‘Triangulation’ describes the process of studying a problem using different methods to gain a more complete picture [44]. Findings were grouped together before being explored for commonalities and divergence. They were then triangulated into a final evidence table.

The evidence table was then used to create a number of statements which were then the focus of an online modified Delphi consensus study, where HCPs and experts from the third sector were asked to rank the importance of the statements as potential components and modes of delivery for an intervention to provide supported self-management for those with MSK pain and varying levels of HL.

The Delphi technique is considered a reliable approach to developing new concepts and setting the direction of future research [45], and has been commonly used to establish consensus across a variety of disciplines in the field of MSK health [46, 47].

Recruitment

Invitations to participate, including the participant information leaflet and an online link to participate, were sent via email to the professional networks of the research team which included HCPs and third sector experts.

Data collection

The modified Delphi used the online Keele Health Survey (LimeSurvey) hosted by Keele University. Participants were asked to rank the importance of the evidence statements produced from the triangulation of the findings from work packages 2 and 3. The importance of the statements were ranked on a 4-point Likert scale (i.e. definitely include, probably include, probably not include, definitely not include) (see Additional file 5).

Data analysis

A consensus level of 80% agreement for inclusion (definitely include) for each evidence statement across all respondents after each round was decided upon a priori, following a review of the literature [47, 48]. The statements that didn’t reach consensus in round 1 were re-ranked in round 2.

Following the Delphi, we took the evidence statements with 80% consensus for inclusion and mapped them to the findings of the systematic review and assessed the overall confidence in the evidence by grading them as high, moderate, low or very low using an approach modified from GRADE (Grading of Recommendations Assessment, Development, and Evaluation) methodology [49].

Work package 4b (WP4b): Production of the logic model

The research team used the agreed components identified through the Delphi to produce a logic model that explains how potential intervention components could address potential mediators, leading to improved health outcomes for people who have MSK pain and varying levels of HL.

Patient and public involvement and engagement (PPIE)

Involvement was embedded in all stages of the EASIER study. The study concept and design was co-produced with our PPIE members. PPIE members advised on the participant facing documents, the topic guides and the case vignettes for WP3. They were also asked to reflect on the proposed recruitment strategy and location of the focus groups. PPIE input was obtained at an analysis workshop focused on the WP3 data. A final workshop with PPIE members took place to allow them to share their perspectives on the components of interventions that were incorporated into the logic model based on the modified online Delphi.

Results

Work Package 1 (WP1): Analysis of the relationship between HL and MSK health outcomes (objective 1)

Work Package 1a (WP1a): Moderation

Table 1 provides data on the associations between HL and socio-demographic and baseline and follow up health status variables across the three datasets. Compared to people with adequate HL, people with limited HL had a higher average age, lesser educational background and socio-economic profile, and receive less help and support with emotional needs and daily tasks. People with limited HL had significantly worse health status at both baseline and follow up: worse pain scores, worse function, worse mental health and higher kinesiophobia (fear of pain due to movement) and were more likely to have had their current pain for > 3 months.

Table 1 Characteristics of study population by baseline HL response categories

Table 2 presents the unadjusted mean difference estimates which show that people with limited HL had significantly worse health status than those with adequate HL. The differences were largely retained despite adjustment for socio-demographic variables. Further adjustment for co-morbidity and baseline mental health status reduced the differences to about half the size of the unadjusted difference in many of the analyses, and some differences persisted after further adjustment for baseline score and pain duration.

Table 2 Differences in physical function and pain intensity scores between patients with inadequate and adequate HL

The moderation analysis (see Additional file 6) demonstrated there were few clear and consistent indicators of a moderation effect of limited HL by increased age; lower-level of education; deprivation indices; non-employment; lower baseline physical and mental health status; longer duration of symptoms, or comorbidity. Within the KAPS dataset only, there was a statistically significant interaction effect for HL with school-leaving and full-time education variables, where the signs for the coefficients were opposite to those for the individual variables (pointing towards a possible lowering impact of combined limited HL and lower-level education than for the sum of the individual effects).

Work Package 1b (WP1b): Mediation

Psychological factors were significant mediators: indicating high indirect effects for the relationship between HL and pain / function outcomes, which were mediated through these factors; to the extent of 47–100% indirect effects within KAPS, 33–88% within TAPS, and 79–95% within STEMS (see Additional file 6). Mediation through limited HL influence on increased catastrophizing (leading to poorer pain / function outcomes at follow up) was significantly elevated across the following subgroups in KAPS: age < 65 years, males, co-morbidity, full-time education, mild pain at baseline. Similar moderation of the mediation with heightened difference for subgroups aged < 65 years and males were also observed for pain self-efficacy and illness-perceptions mediators within KAPS. There was little evidence of moderation of mediation within TAPS and STEMS (see Additional file 7).

Work Package 2 (WP2): Evidence synthesis to identify components of supported self-management suitable for people with limited HL (objective 2)

The search to identify recent systematic reviews of relevant RCTs (past 10 years) resulted in the identification of 408 unique citations. Screening and full text eligibility assessment removed 398 systematic reviews, leaving 10 for inclusion. From these 10 systematic reviews, 91 unique citations were identified and 10 RCTs (11 papers) were deemed eligible (see Fig. 2a).

Fig. 2
figure 2

a PRISMA Flow Diagram for Systematic Reviews. b PRISMA Flow Diagram for Randomised Controlled Trials

The search to identify more recently published relevant individual RCTs resulted in the identification of 886 unique citations. Screening and full text eligibility assessment removed 881 RCTs, leaving 5 for inclusion (see Fig. 2b).

The characteristics of the studies included are described in Table 3. The majority of the studies were from the United States and focused on a range of LTCs such as diabetes, hypertension and heart failure. An overview of the components of supported self-management interventions for people with LTCs and varying levels of HL that demonstrated significant effects are described in Table 4. These components focused on mode of delivery, type of HCP delivering the intervention, training for intervention deliverers, intervention materials and patient knowledge, understanding and support. The TIDIER checklist was completed to support the completeness in the reporting of the interventions identified (See Additional file 8).

Table 3 Characteristics of the 15 studies (16 papers included)
Table 4 Overview of components of interventions shown to have significant intervention effects. n refers to the number of interventions (of a possible 18 identified across 15 studies (16 articles))

Work Package 3 (WP3): Qualitative investigation of the experiences of people living with MSK pain, HCPs and experts around self-management of MSK pain (objective 3)

Participant characteristics

Three focus groups with people with MSK pain from the community (CFG) and one focus group with professional stakeholders (PFG) were conducted, each lasting between 60–120 min. The three CFGs included a total of 17 participants (CFG 1 = 7, CFG 2 = 5, CFG 3 = 5) which comprised 13 women and 4 men with an mean age of 72.2 (SD 13.4) years and included a mix of race/ethnic backgrounds (white British = 12, south Asian = 4, white Canadian = 1). The PFG sample (n = 12) included a range of professional groups who are all directly involved in the care or support of people with MSK pain: 3 third sector workers, 2 GPs, 2 physiotherapists, 1 nurse, 1 occupational therapist, 1 pharmacist, 1 rheumatologist and 1 psychologist. The PFG comprised seven women and 1 man, with a wide range of experience levels (mean: 19 years providing care or support to people with MSK pain).

Key findings after thematic analysis

Two analytic categories were identified within the data from both people with MSK pain and the professional stakeholders. Within each theme, several sub-themes were also identified. These themes and sub-themes are described briefly below with illustrating quotes.

Theme 1: HCP education and training.

Understanding HL

Both groups highlighted the importance of understanding the concept of HL. In particular, that HCPs should be educated and trained to understand its importance and impact on health, specifically self-management, and consequently its relevance to health care practice and service provision.

‘It’s education from the experts that we need isn’t it?’ (CFG)

‘I think health literacy should be part of undergraduate medical and clinical training as a matter of course.’ (PFG)

‘Any intervention needs to be owned and understood by the person to whom it applies. And, in order for somebody to self-manage, they need to understand what the condition is, and what they can do about it, within their context.’ (PFG).

‘If we come up with some sort of education, that would be helpful for the wider community in terms of giving them awareness, or giving them any kind of self-management programme to help them with their aches and pains and with their muscles and joints’. (CFG).

Understanding MSK conditions in the context of HL

The psychosocial implications of MSK conditions with a particular focus on ageing, social construction of MSK, co-morbidities including mental health and access to services were deemed important when understanding MSK conditions in the context of HL.

‘For some [patients], it will be about levels of health literacy. The problem with things like health literacy is, as I’ve said, everything needs to be holistic.’ (PFG)

‘It [health literacy] looks at everything from social to psychology to see what they’re picking up in that section. Are they picking up the social aspect? I find that so much more now about people’s pains, understanding and beliefs.’ (PFG).

Understanding the complexity of health literacy at the level of individuals and communities

The training needs to address how patients may mask limited HL, and the importance of seeing the patient in the context of their personal, familial and social resources and support was felt to be crucial. HCP training also needs to enable them to acknowledge and understand what the patient/care-giver knows, including their health beliefs and expectations.

‘They [doctors] generalise a lot of things and I quite agree with [X] as they (Drs) told [X] to take two times a day. The doctor says, ‘Take this three times a day,’ but they’re not really personally talking about you. They have to go deeper into what works’. (CFG).

‘The system is changing and it’s whether everybody in the community fully understands that actually, when it comes to illness, it’s more back on them to be in control of it. Whereas, actually some people just don’t want to be in control. They want to be told’. (PFG).

Communication skills in working with patients with limited HL

Use of language and terminology was very important from the perspective of those with MSK pain. Suggestions of how to improve communication with patients to enable them to better retain information included alternative approaches e.g. teach-back, audio and visual aids etc. The importance of non-verbal communication, breaking bad news, and exploring patient health beliefs and expectations were also highlighted in the focus groups.

‘Sometimes you just need somebody to go through, explain and be able to go a bit deeper with them rather than just being given the information.’ (PFG).

‘You go to a consultation with a dietician and when you walk out, how much can you retain? Not much, too much information’. (CFG).

Understanding importance of timeliness of information and changing patient needs

Both groups agreed that training and education on identifying and responding to reactions of shock, anxiety, denial, guilt, blame is important. Providing timely information and prioritising information at different time points, whilst avoiding information overload, was deemed necessary when considering people with limited HL. Liaison with other providers and providing follow-up were also identified as important components for HCPs to consider.

‘It’s also about the relative importance of musculoskeletal conditions compared to other things in terms of training, isn’t it? You only have to look at how diabetes, heart disease and some of these other conditions are prioritised. Of course, the other thing is that most of these people will have five or six other health conditions at the same time. Whilst the priority today might be aches and pains, the priority tomorrow will be diabetes, or blood pressure, or ten other things. I don’t think arthritis has that sense of priority for patients or for healthcare practitioners. We need to set this as priority.’ (PFG).

‘They (HCPs) gave you too much information in one day for you to really take in. You can go back another time now and do it again’. (CFG)

Theme 2: Patient and caregiver education and support.

Knowledge and understanding

To help patients understand their MSK pain the participants of the focus groups agreed that education and support is vital and should be condition-specific, accessible, reliable, and trustworthy. Specific knowledge and understanding of the side effects of analgesics, self-management strategies, sources of information, and relevant services including physiotherapy.

‘I’m starting straight from the beginning of the consultation now. It’s massively changed my practice and I’m tending to not have to give out as much information leaflets and having more time to sit with people in clinic to sort of watch the video ‘Three minutes understanding pain’, especially with the younger chaps that don’t really open up.’ (PFG).

‘There are a lot of things that we need to be guided into and educated well about, so then we can take the right steps.' (CFG)

Modes of information delivery

The participants felt strongly that the way in which information is delivered to patients should be clear and accessible. Some of the suggestions from the groups included pamphlets, videos, pictures, audio clips, on YouTube, in GP surgeries, TV, physiotherapy clinics, and web-based resources; Regular text messages with prompts, updates and reminders were felt to be useful.

‘…less information in a clearer format and signposting people as to where they can get more when they’re ready to receive it.' (PFG)

‘Don’t know if it could be something virtual, like webinars. I know people can drop in at times or there are videos they could watch and then people could start talking.’ (PFG)

‘I'm talking about videos for treatment, I mean painkillers are great and this study is brilliant when you're getting different peoples, you know, I suppose, that’s one thing where it really would but to me it would be helpful if I could see somebody actually doing the exercises’. (CFG).

Modes of support

The participants provided a range of perspectives on modes of support. Suggestions included a ‘floating’ advisor in GP surgeries to offer on-going support, integrated services, peer-support groups, expert-led support groups, community education sessions to raise awareness of MSK and self-management strategies, expert-moderated internet-based chat groups/forums and social media.

‘Instead of leaving them and saying, ‘Right, off you go now,’ there’s a floating advisor you can just drop in. You may need to steer that person to that somebody and say, ‘Yeah, watch this video with them.’ (PFG).

‘I think a group setting works quite well so like here we've shared ideas between each other, although there is a problem about possibly misinformation, you know, you can feed off other people and say, oh right, yes, well I never thought about that strategy or using a hot water bottle or doing this or doing the other and it may give you ideas that perhaps you hadn’t already thought about. So, meeting together in a group and perhaps have somebody come and show a video let’s say about strategies, I think that would be useful.’ (CFG).

Work package 4a (WP4a): Triangulation of findings and a modified online Delphi consensus study

Triangulation of the findings resulted in the production of an evidence table. From this, 49 evidence statements across 5 themes (1. Training, support and materials for intervention deliverers, 2. Self-management support, 3. Education for patients, 4. Modes of information delivery, 5. Modes of support delivery) were created and used in the Delphi study (see Additional file 5).

A total of 23 participants participated in round 1 of the Delphi (16 women and 7 men, all identifying as white British), with a wide range of experience levels (average: 15 years proving care or support to people with MSK pain). The sample included different professional groups who are all directly involved in the care or support of people with MSK pain: 9 physiotherapists, 4 GPs, 2 third sector workers, 2 academic researchers, 1 nurse practitioner, 1 occupational therapist, 1 pharmacist, 1 rheumatologist, 1 psychologist and 1 Public Health specialist. The sample comprised of 5 individuals who stated they had expertise in HL.

After analyzing the round 1 data, 12 evidence statements reached consensus and were removed from the second (final) round. The second round was completed by 21 (93.3%) participants from round 1 and a further 10 evidence statements reached consensus, which resulted in a total of 22 evidence statements relating to potential components and modes of delivery to include in the logic model (see Fig. 3).

Fig. 3
figure 3

Evidence based Logic Model for Supported Self-Management Intervention Components for MSK Pain and Low HL

These 22 evidence statements were then mapped back to the findings of the systematic review and assessed for the overall confidence in the evidence. This assessment found 8% of the statements demonstrated very low confidence, 23% demonstrated low confidence, 54% demonstrated moderate confidence and 15% demonstrated high confidence.

Work package 4b (WP4b): Production of the logic model

Eight dimensions to the logic model were identified, each with their own domains: the problem, inputs, determinants, training and education (HCPs), intervention components, delivery modes, outputs and health outcomes (see Fig. 3). Key determinants identified included: self-efficacy, illness perceptions, and pain catastrophising. Several key intervention components were identified for example providing information in diverse formats (e.g. audio, video and written materials); action planning and goal setting; visual demonstrations of exercises. In terms of modes of delivery support the logic model highlights that it should be multi-professional using a combination of delivery modes including face to face and remote delivery.

Discussion

Supported self-management interventions are widely used to improve the health of those with MSK pain [5]. Such interventions often have multiple interacting components and classed as complex interventions. In the United Kingdom, the Medical Research Council (MRC) is widely cited for its guidance on developing and evaluating complex interventions [66]. This study drew on this guidance and that of others such as O’Cathain et al. (2019) by using a mixed-method approach to produce a model for inclusive supported self-management intervention(s) for MSK pain that takes account of varying levels of HL [67].

The findings of work package 1 (secondary data analysis) demonstrated that low HL is associated with poorer (longitudinal) pain and function, which was independent in part from other baseline co-factors such as socio-demographic and health-related-factors. This provides further support to the findings of Lacey et al. (2018) who previously used the KAPS data alone to examine the impact of limited HL in a population with MSK pain [20]. However, these findings are in contrast with a systematic review by Loke et al. (2012), which did not find evidence of a clear relationship between limited HL and poorer functional outcomes in patients with chronic MSK conditions [3]. However, Loke et al. (2012) did highlight that many methodological weaknesses were evident within the studies identified and included in the review [3].

With regards to targets for intervention, a previous study of chronic pain clinics that served patients with low socioeconomic status found that lower levels of HL were associated with greater catastrophizing and lower pain-related self-efficacy [68]. A systematic review by Lowe et al. (2013) which examined the effectiveness of educational interventions in people with low literacy levels also demonstrated a modest effect on knowledge and self-efficacy, although there was a lack of high-quality evidence [4]. In work package 1 of this study, psychological factors including catastrophising, self-efficacy and illness perceptions were all found to be mediators of the relationship between poorer HL and greater pain and worse function longitudinally and should therefore be considered as targets for intervention in those with MSK pain. Consequently, these factors were included as targets for intervention in the logic model. There was little evidence of any clear and consistent moderation effects (of HL itself and of the mediation effect) from the analysed data, and hence moderation effects were not considered for the logic model.

The aim of work package 2 (systematic review) was not to estimate the overall effectiveness of self-management interventions as this has been addressed in several previous systematic reviews [69,70,71]. The aim was however, to focus on effective components of the interventions and the different modes of delivering supported self-management which may be suitable for those with limited HL. A large number of effective components were identified and these were grouped into 1. mode of delivery, 2. type of healthcare professional delivering the intervention, 3. training for intervention deliverers, 4. intervention materials and 5. patient knowledge, understanding and support.

The findings from work package 3 (focus groups) also identified a number of intervention components which were deemed important to HCPs and individuals with MSK pain. These components were grouped into 2 overarching themes, 1. HCP education and training, 2. Patient and caregiver education and support. Following the thematic analysis, it was clear that there was significant overlap between the effective components identified in work package 2 (systematic review) and the sub-themes identified in the focus group data (e.g. mode of delivery, training for HCPs and support for patients).

The triangulation of the data from work packages 2 and 3 grouped together the data sources and explored commonalities and divergence. The final evidence table produced from this process included a large number of intervention components and modes of delivery (n = 49) which were grouped into 1 of 5 themes (1. Training, support and materials for intervention deliverers, 2. Self-management support, 3. Education for patients, 4. Modes of information delivery, 5. Modes of support delivery).

Evidence statements were produced from the evidence table and were then considered by the stakeholders participating in the Delphi consensus study (work package 4). The majority (69%) of the evidence statements were associated with moderate or high levels of confidence in the evidence when risk of bias was assessed. The Delphi narrowed down the 49 evidence statements to 22 evidence statements, which the group felt should definitely be included in the logic model. At least one evidence statement was selected from each of the themes identified in the triangulation process.

Strengths and limitations

To our knowledge, this is the first study to identify key components of supported self-management interventions suitable for individuals with MSK pain and varying levels of HL. We used a mixed methods approach, including both quantitative and qualitative methods. Conducting secondary data analysis of three large data sets was an efficient approach as it allowed us to access relevant data from 3 different studies with a collective large sample size.

Incorporating a systematic review enabled us to identify and synthesise all relevant evidence and assess our confidence in the components of interventions and modes of delivery selected for inclusion in the logic model. The focus groups and the Delphi study included a range of important stakeholders including people with MSK pain, multidisciplinary HCPs and third sector workers, therefore gained a wide range of relevant perspectives on what would be important to include in a supported self-management programme and what would be feasible to deliver within primary care. The team worked hard to involve seldom heard voices in the project and specifically approached groups in the community who may experience barriers to accessing services or are under-represented in healthcare decision making. However, there were some limitations surrounding the other samples recruited. For example, the professional focus group included only one male participant and all identified as white British. The participants in the Delphi study represented a better gender mix, but again there was only one participant that was not of white British origin.

Some findings that might have been expected to arise in the professional focus group, such as the ways in which promoting patient knowledge of the causes and mechanisms of pain in MSK conditions, were not brought up in the discussions. Factors such as this could be explored in future studies.

A key strength of this study was that PPIE was included at each stage of this research, from study conception through to analysis and agreeing the final logic model.

Conclusions

This study has enabled us to produce a person-centered, evidenced-based logic model that describes evidence-based intervention targets, effective intervention components and modes of delivery to support self-management and explains how these can lead to improved health outcomes for patients with MSK pain and varying levels of HL.

The model is acceptable to both patients and HCPs and has potential for significant impact on the management of MSK pain and for improving patient health outcomes. The next steps are now to draw on this logic model to inform the future refinement and evaluation of new, inclusive supported self-management intervention(s) for MSK pain that can be delivered in primary care.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ARC:

Applied Research Collaborations

CFG:

Community focus group

EASIER:

AchEs And painS and lIving bEtteR

HCPs:

Healthcare Professionals

HL:

Health literacy

KAPs:

Keele Aches and Pains Study

LTCs:

Long-term conditions

MRC:

Medical Research Council

MSK:

Musculoskeletal

NIHR:

National Institute for Health and Care Research

PPIE:

Patient and Public Involvement and Engagement

PFG:

Professional focus group

RCT:

Randomised controlled trial

STEMS:

Stepping up the Evidence for Musculoskeletal Services

SEM:

Structural equation modelling

TAPS:

Treatment of Aches and PainS

TIDIER:

Template for Intervention Description and Replication

WEA:

Workers Education Association

WP:

Work package

References

  1. Public Health England. Why are musculoskeletal conditions the biggest contributor to morbidity? Health Profile for England. 2019. https://ukhsa.blog.gov.uk/2019/03/11/why-are-musculoskeletal-conditions-the-biggest-contributor-to-morbidity/ (accessed 07/11/2022).

  2. Woolf AD, Pfleger B. Burden of major musculoskeletal conditions. Bull World Health Organ. 2003;81(9):646–56.

    PubMed  PubMed Central  Google Scholar 

  3. Loke YK, Hinz I, Wang X, Rowlands G, Scott D, Salter C. Impact of health literacy in patients with chronic musculoskeletal disease–Systematic review. PloS One. 2012;7(7):e40210.

  4. Lowe W, Ballinger C, Protheroe J, Lueddeke J, Nutbeam D, Armstrong R, et al. Effectiveness of musculoskeletal education interventions in people with low literacy levels: a systematic review. Arthritis Care Res (Hoboken). 2013;65(12):1976–85. https://doi.org/10.1002/acr.22085.

    Article  PubMed  Google Scholar 

  5. Kroon FPB, van der Burg LRA, Buchbinder R, Osborne RH, Johnston RV, Pitt V. Self-management education programmes for osteoarthritis. Cochrane Database Syst Rev. 2014; Issue 1:Art. No.: CD008963. https://doi.org/10.1002/14651858.CD008963.

  6. Dodson S, Good S, Osborne RH. Health literacy toolkit for low and middle-income countries: a series of information sheets to empower communities and strengthen health systems. New Delhi: World Health Organization, Regional Office for South-East Asia, 2015. https://apps.who.int/iris/handle/10665/205244 (accessed 07/11/2022)

  7. Rowlands G, Protheroe J, Winkley J, Richardson M, Seed PT, Rudd R. A mismatch between population health literacy and the complexity of health information: an observational study. Br J Gen Pract. 2015;65(635):e379–86. https://doi.org/10.3399/bjgp15X685285.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Protheroe J, Whittle R, Bartlam B, Estacio EV, Clark L, Kurth J. Health literacy, associated lifestyle and demographic factors in adult population of an English city: a cross-sectional survey. Health Expect. 2016;20(1):112–9. https://doi.org/10.1111/hex.12440.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Crotty K. Low health literacy and health outcomes: an updated systematic review. Ann Intern Med. 2011;155:97–107. https://doi.org/10.7326/0003-4819-155-2-201107190-00005.

    Article  PubMed  Google Scholar 

  10. Bostock S, Steptoe A. Association between low functional health literacy and mortality in older adults: longitudinal cohort study. BMJ. 2012;344:e1602.

  11. Sorensen K, Pelikan JM, Rothlin F, Ganahl K, Slonska Z, Doyle G, et al. Health literacy in Europe: Comparative results of the European health literacy survey (HLS-EU). Eur J Public Health. 2015;25:1053–8. https://doi.org/10.1093/eurpub/ckv043.

    Article  PubMed  PubMed Central  Google Scholar 

  12. HLS-EU Consortium: Comparative report of health literacy in eight EU member states. The European health literacy survey HLS-EU, 2012 (first revised and extended version, July 5th, 2013). https://www.healthliteracyeurope.net/hls-eu (accessed 07/11/2022)

  13. Von Wagner C, Knight K, Steptoe A, Wardle J. Functional health literacy and health-promoting behaviour in a national sample of British adults. J Epidemiol Community Health. 2007;61(12):1086–90. https://doi.org/10.1136/jech.2006.053967.

    Article  Google Scholar 

  14. World Health Organization. Shanghai Declaration on promoting health in the 2030 Agenda for Sustainable Development. 9th Global Conference on Health Promotion, Shanghai 21–24 November, 2016. https://www.who.int/publications/i/item/WHO-NMH-PND-17.5 (accessed 07/11/2022)

  15. May CR, Eton DT, Boehmer K, Gallacher K, Hunt K, MacDonald S, et al. Rethinking the patient: using Burden of Treatment Theory to understand the changing dynamics of illness. BMC Health Serv Res. 2014;14:281. https://doi.org/10.1186/1472-6963-14-281.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Calderon-Larranaga A, Poblador-Plou B, Gonzalez-Rubio F, Gimeno-Feliu LA, Abad-Diez JM, Prados-Torres A. Multimorbidity, polypharmacy, referrals, and adverse drug events: are we doing things well? Br J Gen Pract. 2012;62(605):e821e826. https://doi.org/10.3399/bjgp12X659295.

    Article  Google Scholar 

  17. Kongkaew C, Hann M, Mandal J, Williams SD, Metcalfe D, Noyce PR, et al. Risk factors for hospital admissions associated with adverse drug events. Pharmacotherapy. 2013;33(8):827–37. https://doi.org/10.1002/phar.1287.

    Article  PubMed  Google Scholar 

  18. Mercer SW, Gunn J, Bower P, Wyke S, Guthrie B. Managing patients with mental and physical multimorbidity. BMJ. 2012;345:e5559.

  19. Adams J, Ballinger C, Lowe W, Rowley C, Lueddeke J, Armstrong R, et al. Personal impact of lower levels of health literacy on living with a musculoskeletal disease: a qualitative interview study. Rheumatology. 2016;55(Suppl 1):i8–9. https://doi.org/10.1093/RHEUMATOLOGY/KEW096.004.

    Article  Google Scholar 

  20. Lacey RJ, Campbell P, Lewis M, Protheroe J. The Impact of Inadequate Health Literacy in a Population with Musculoskeletal Pain. Health Lit Res Pract. 2018;2(4):e215–20. https://doi.org/10.3928/24748307-20181101-01.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Farin E, Ullrich A, Nagl M. Health education literacy in patients with chronic musculoskeletal diseases: development of a new questionnaire and sociodemographic predictors. Health Educ Res. 2013;28(6):1080–91. https://doi.org/10.1093/her/cyt095.

    Article  PubMed  Google Scholar 

  22. Wolf EJ, Harrington KM, Clark SL, Miller MW. Sample size requirements for structural equation models an evaluation of power, bias, and solution propriety. Educ Psychol Meas. 2013;73(6):913–34. https://doi.org/10.1177/0013164413495237.

  23. Campbell P, Hill JC, Protheroe J, Afolabi EK, Lewis M, Beardmore R, et al. Keele Aches and Pains Study protocol: validity, acceptability, and feasibility of the Keele STarT MSK tool for subgrouping musculoskeletal patients in primary care. J Pain Res. 2016;9:807–18. https://doi.org/10.2147/JPR.S116614.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Hill JC, Garvin S, Chen Y, Cooper V, Wathall S, Saunders B, et al. Stratified primary care versus non-stratified care for musculoskeletal pain: findings from the STarT MSK feasibility and pilot cluster randomized controlled trial. BMC Fam Pract. 2020;21:30. https://doi.org/10.1186/s12875-019-1074-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Bishop A, Ogollah RO, Jowett S, Kigozi J, Tooth S, Protheroe J, et al. STEMS pilot trial: a pilot cluster randomised controlled trial to investigate the addition of patient direct access to physiotherapy to usual GP-led primary care for adults with musculoskeletal pain. BMJ Open. 2017;7(3):e012987. https://doi.org/10.1136/bmjopen-2016-012987.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Morris NS, MacLean CD, Chew LD, Littenberg B. The Single Item Literacy Screener: evaluation of a brief instrument to identify limited reading ability. BMC Fam Pract. 2006;7:21. https://doi.org/10.1186/1471-2296-7-21.

  27. Dunn KM, Jordan K, Croft PR. Characterizing the course of low back pain: a latent class analysis. Am J Epidemiol. 2006;163(8):754–61. https://doi.org/10.1093/aje/kwj100.

    Article  PubMed  Google Scholar 

  28. Ware JE, Kosinski M, Keller SD. A 12-item short form health survey (SF-12): Construction and preliminary tests of reliability and validity. Med Care. 1996;32:220–33. https://doi.org/10.1097/00005650-199603000-00003.

  29. MacKinnon DP, Fairchild AJ, Fritz MS. Mediation analysis. Annu Rev Psychol. 2007;58:593–614. https://doi.org/10.1146/annurev.psych.58.110405.085542.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Preacher KJ. Advances in mediation analysis: a survey and synthesis of new developments. Annu Rev Psychol. 2015;66:825–52. https://doi.org/10.1146/annurev-psych-010814-015258.

    Article  PubMed  Google Scholar 

  31. 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 

  32. Moss-Morris R, Weinman J, Petrie K, Horne R, Cameron L, Buick D. The revised Illness Perception Questionnaire (IPQ-R). Psychol Health. 2002;17(1):1–6. https://doi.org/10.1080/08870440290001494.

    Article  Google Scholar 

  33. Harland NJ, Georgieff K. Development of the Coping Strategies Questionnaire 24, a clinically utilitarian version of the Coping Strategies Questionnaire. Rehabil Psychol. 2003;48(4):296–300. https://doi.org/10.1037/0090-5550.48.4.296.

    Article  Google Scholar 

  34. Mead N, Bower P, Roland M. The general practice assessment questionnaire (GPAQ): development and psychometric characteristics. BMC Fam Pract. 2008;9:13. https://doi.org/10.1186/1471-2296-9-13.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Jenkins CD, Stanton BA, Niemcryk SJ, Rose RM. A scale for the estimation of sleep problems in clinical research. J Clin Epidemiol. 1988;41(4):313–21. https://doi.org/10.1016/0895-4356(88)90138-2.

    Article  CAS  PubMed  Google Scholar 

  36. 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. BMJ. 2014;348:g1687.

  37. Babatunde OO, Corp N, Shivji N, et al. Interventions for supporting self-management in people with musculoskeletal pain, including focus on varying levels of health literacy: A systematic overview of reviews. healthopenres; 2023. https://doi.org/10.12688/healthopenres.13151.1.

  38. Kitzinger J. Qualitative Research: Introducing focus groups. BMJ. 1995;311(299). doi: https://doi.org/10.1136/bmj.311.7000.299

  39. Acocella I. The focus groups in social research: advantages and disadvantages. Qual Quant. 2012;46(4):1125–36. https://doi.org/10.1007/s11135-011-9600-4.

    Article  Google Scholar 

  40. Bloor M, Frankland J, Thomas M, Robson K. Focus Groups in Social Research. London: Sage; 2001.

    Book  Google Scholar 

  41. Palinkas L, Horwitz S, Green C, Wisdom J, Duan N, Hoagwood K. Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Adm Policy Ment Health. 2015;42(5):533–44. https://doi.org/10.1007/s10488-013-0528-y.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Guest G, MacQueen KM, Namey EE. Applied Thematic Analysis. Los Angeles: Sage; 2012.

    Book  Google Scholar 

  43. Mason JD, A. Understanding social research: thinking creatively about method. London: Sage; 2011.

  44. O'Cathain A, Murphy E, Nicholl J. Three techniques for integrating data in mixed methods studies. British Medical Journal. 2010;341:c4587. https://doi.org/10.1136/bmj.c4587.

  45. McMillan SS, King M, Tully MP. How to use the nominal group and Delphi techniques. Int J Clin Pharm. 2016;38(3):655–62. https://doi.org/10.1007/s11096-016-0257-x.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Cohen SP, Bhaskar A, Bhatia A, Buvanendran A, Deer T, Garg S, et al. Consensus practice guidelines on interventions for lumbar facet joint pain from a multispecialty, international working group. Reg Anesth Pain Med. 2020;45(6):424–67. https://doi.org/10.1136/rapm-2019-101243.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Finney A, Porcheret M, Grime J, Jordan KP, Handy J, Healey E, et al. Defining the Content of an Opportunistic Osteoarthritis Consultation With Primary Health Care Professionals: A Delphi Consensus Study. Arthritis Care Res. 2013;65(6):962–8. https://doi.org/10.1002/acr.21917.

    Article  Google Scholar 

  48. Powell C. The Delphi technique: myths and realities. J Advan Nurs. 2003;41:376–82. https://doi.org/10.1046/j.1365-2648.2003.02537.x.

    Article  Google Scholar 

  49. Schünemann HJ, Higgins JPT, Vist GE, Glasziou P, Akl EA, Skoetz N, et al. Chapter 14: Completing ‘Summary of findings’ tables and grading the certainty of the evidence. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.1 (updated September 2020). Cochrane, 2020. Available from www.training.cochrane.org/handbook (accessed 07/11/2022).

  50. Bosworth HB, Olsen MK, Gentry P, Orr M, Dudley T, McCant F, et al. Nurse administered telephone intervention for blood pressure control: a patient-tailored multifactorial intervention. Patient Educ Couns. 2005;57(1):5–14. https://doi.org/10.1016/j.pec.2004.03.011.

    Article  PubMed  Google Scholar 

  51. Bosworth HB, Olsen MK, Grubber JM, Neary AM, Orr MM, Powers BJ, et al. Two self-management interventions to improve hypertension control: a randomized trial. Ann Intern Med. 2009;151(10):687–95. https://doi.org/10.7326/0003-4819-151-10-200911170-00148.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Bosworth HB, Olsen MK, McCant F, Stechuchak KM, Danus S, Crowley MJ, et al. Telemedicine cardiovascular risk reduction in veterans: The CITIES trial. Am Heart J. 2018;199:122–9. https://doi.org/10.1016/j.ahj.2018.02.002.

    Article  PubMed  Google Scholar 

  53. Carroll JK, Tobin JN, Luque A, Farah S, Sanders M, Cassells A, et al. “Get Ready and Empowered About Treatment” (GREAT) Study: a Pragmatic Randomized Controlled Trial of Activation in Persons Living with HIV. J Gen Intern Med. 2019. https://doi.org/10.1007/s11606-019-05102-7.

  54. Cavanaugh K, Wallston KA, Gebretsadik T, Shintani A, Huizinga MM, Davis D, et al. Addressing literacy and numeracy to improve diabetes care: two randomized controlled trials. Diabetes Care. 2009;32(12):2149–55. https://doi.org/10.2337/dc09-0563.

    Article  PubMed  PubMed Central  Google Scholar 

  55. DeWalt DA, Malone RM, Bryant ME, Kosnar MC, Corr KE, Rothman RL, et al. A heart failure self-management program for patients of all literacy levels: A randomized, controlled trial. BMC Health Serv Res. 2006;6:30. https://doi.org/10.1186/1472-6963-6-30.

    Article  PubMed  PubMed Central  Google Scholar 

  56. DeWalt DA, Schillinger D, Ruo B, Bibbins-Domingo K, Baker DW, Holmes GM, et al. Multisite Randomized Trial of a Single-Session Versus Multisession Literacy-Sensitive Self-Care Intervention for Patients With Heart Failure. Circulation. 2012;125(23):2854–62. https://doi.org/10.1161/Circulationaha.111.081745.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Kalichman SC, Cherry C, Kalichman MO, Amaral C, White D, Grebler T, et al. Randomized clinical trial of HIV treatment adherence counseling interventions for people living with HIV and limited health literacy. J Acquir Immune Defic Syndr. 2013;63(1):42–50. https://doi.org/10.1097/QAI.0b013e318286ce49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Kiser K, Jonas D, Warner Z, Scanlon K, Shilliday BB, DeWalt DA. A randomized controlled trial of a literacy-sensitive self-management intervention for chronic obstructive pulmonary disease patients. J Gen Intern Med. 2012;27(2):190–5. https://doi.org/10.1007/s11606-011-1867-6.

    Article  PubMed  Google Scholar 

  59. Murray MD, Young J, Hoke S, Tu W, Weiner M, Morrow D, et al. Pharmacist intervention to improve medication adherence in heart failure: a randomized trial. Ann Intern Med. 2007;146(10):714–25. https://doi.org/10.7326/0003-4819-146-10-200705150-00005.

    Article  PubMed  Google Scholar 

  60. Press VG, Arora VM, Trela KC, Adhikari R, Zadravecz FJ, Liao C, et al. Effectiveness of Interventions to Teach Metered-Dose and Diskus Inhaler Techniques. A Randomized Trial. Annals of the American Thoracic Society. 2016;13(6):816–24. https://doi.org/10.1513/AnnalsATS.201509-603OC.

  61. Schillinger D, Hammer H, Wang F, Palacios J, McLean I, Tang A, et al. Seeing in 3-D: examining the reach of diabetes self-management support strategies in a public health care system. Health Educ Behav. 2008;35(5):664–82. https://doi.org/10.1177/1090198106296772.

    Article  PubMed  Google Scholar 

  62. Schillinger D, Handley M, Wang F, Hammer H. Effects of Self-Management Support on Structure, Process, and Outcomes Among Vulnerable Patients With Diabetes A three-arm practical clinical trial. Diabetes Care. 2009;32(4):559–66. https://doi.org/10.2337/dc08-0787.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Negarandeh R, Mahmoodi H, Noktehdan H, Heshmat R, Shakibazadeh E. Teach back and pictorial image educational strategies on knowledge about diabetes and medication/dietary adherence among low health literate patients with type 2 diabetes. Prim Care Diabetes. 2013;7(2):111–8. https://doi.org/10.1016/j.pcd.2012.11.001.

    Article  PubMed  Google Scholar 

  64. Eikelenboom N, Van Lieshout J, Jacobs A, Verhulst F, Lacroix J, Van Halteren A, et al. Effectiveness of personalised support for self-management in primary care: A cluster randomised controlled trial. Br J Gen Pract. 2016;66(646):e354–61. https://doi.org/10.3399/bjgp16X684985.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Lee SJ, Song M, Im EO. Effect of a Health Literacy-Considered Diabetes Self-Management Program for Older Adults in South Korea. Res Gerontol Nurs. 2017;10(5):215–25. https://doi.org/10.3928/19404921-20170831-03.

    Article  PubMed  Google Scholar 

  66. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: The new Medical Research Council guidance. Int J Nurs Stud. 2013;50(5):587–92. https://doi.org/10.1016/j.ijnurstu.2012.09.010.

    Article  PubMed  Google Scholar 

  67. O’Cathain A, Croot L, Sworn K, Duncan E, Rousseau N, Turner K, et al. Taxonomy of approaches to developing interventions to improve health: a systematic methods overview. Pilot Feasibility Stud. 2019;5:41. https://doi.org/10.1186/s40814-019-0425-6.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Kapoor S, Eyer J, Thorn B. Health literacy in individuals with chronic pain living in rural United States: Association with pain-related variables. Journal of Pain. 2016;17(Suppl. 4):S17–8. https://doi.org/10.1016/j.jpain.2016.01.071.

    Article  Google Scholar 

  69. Du S, Yuan C, Xiao X, Chu J, Qiu Y, Qian H. Self-management programs for chronic musculoskeletal pain conditions: a systematic review and meta-analysis. Patient Educ Couns. 2011;85(3):e299-310. https://doi.org/10.1016/j.pec.2011.02.021.

    Article  PubMed  Google Scholar 

  70. Elbers S, Wittink H, Pool JJM, Smeets RJEM. The effectiveness of generic self-management interventions for patients with chronic musculoskeletal pain on physical function, self-efficacy, pain intensity and physical activity: A systematic review and meta-analysis. Eur J Pain. 2018;22(9):1577–96. https://doi.org/10.1002/ejp.1253.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. Miles CL, Pincus T, Carnes D, Homer KE, Taylor SJ, Bremner SA, et al. Can we identify how programmes aimed at promoting self-management in musculoskeletal pain work and who benefits? A systematic review of sub-group analysis within RCTs. Eur J Pain. 2011;15(8):775.e1-11. https://doi.org/10.1016/j.ejpain.2011.01.016.

    Article  PubMed  Google Scholar 

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Acknowledgements

We would like to thank all of the participants that took part in this study and express gratitude to our patient and public involvement contributors.

Funding

The work contained within this paper was funded by a Versus Arthritis grant (Ref: 21952). ELH is part funded by the National Institute for Health Research (NIHR) Applied Research Collaborations (ARC) West Midlands. GR is part funded by the National Institute for Health and Care Research (NIHR) Applied Research Collaborations (ARC) North East North Cumbria. The views expressed in this paper are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care.

Author information

Authors and Affiliations

Authors

Contributions

JP, BB, ML, DAVdW, GR, NC participated in the conception of the study. ML conducted the analysis for work package 1. NC, OB, JS, ELH, DAVdW, JP, GR were involved in the literature search, data extraction, analysis and interpretation of work package 2. NS, ELH, BB and JP conducted the data collection and analysis for work package 3. ELH and NS conducted the data collection and analysis for work package 4. ELH led the writing of the manuscript. All authors interpreted the data and read and approved the final manuscript.

Corresponding author

Correspondence to Emma L. Healey.

Ethics declarations

Ethics approval and consent to participate

All methods were carried out in accordance with relevant guidelines and regulations (e.g. Helsinki declaration). All participants in work package 3 and 4 provided written informed consent. Ethical approval was obtained from Keele University’s Faculty of Medicine and Health Sciences Research Ethics Committee (ref: MH-190101).

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

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Supplementary Information

Additional file 1.

Details of datasets.

Additional file 2.

OVID MEDLINE Search strategy.

Additional file 3.

Case Vignette.

Additional file 4.

Work package 3 data collection and analysis flowchart.

Additional file 5.

Evidence statements for Delphi study.

Additional file 6.

Estimates of association of baseline socio-demographic variables with follow up pain and function outcomes (and effect moderation with health literacy).

Additional file 7.

Mediation and moderation of mediation of the association between inadequate health literacy and poor pain and function at follow up.

Additional file 8.

Work package 2 TIDIER checklist.

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Healey, E.L., Lewis, M., Corp, N. et al. Supported self-management for all with musculoskeletal pain: an inclusive approach to intervention development: the EASIER study. BMC Musculoskelet Disord 24, 474 (2023). https://doi.org/10.1186/s12891-023-06452-4

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