- Study protocol
- Open Access
Communication style and exercise compliance in physiotherapy (CONNECT). A cluster randomized controlled trial to test a theory-based intervention to increase chronic low back pain patients’ adherence to physiotherapists’ recommendations: study rationale, design, and methods
© Lonsdale et al.; licensee BioMed Central Ltd. 2012
Received: 9 May 2012
Accepted: 29 May 2012
Published: 15 June 2012
Physical activity and exercise therapy are among the accepted clinical rehabilitation guidelines and are recommended self-management strategies for chronic low back pain. However, many back pain sufferers do not adhere to their physiotherapist’s recommendations. Poor patient adherence may decrease the effectiveness of advice and home-based rehabilitation exercises. According to self-determination theory, support from health care practitioners can promote patients’ autonomous motivation and greater long-term behavioral persistence (e.g., adherence to physiotherapists’ recommendations). The aim of this trial is to assess the effect of an intervention designed to increase physiotherapists’ autonomy-supportive communication on low back pain patients’ adherence to physical activity and exercise therapy recommendations.
This study will be a single-blinded cluster randomized controlled trial. Outpatient physiotherapy centers (N =12) in Dublin, Ireland (population = 1.25 million) will be randomly assigned using a computer-generated algorithm to either the experimental or control arm. Physiotherapists in the experimental arm (two hospitals and four primary care clinics) will attend eight hours of communication skills training. Training will include handouts, workbooks, video examples, role-play, and discussion designed to teach physiotherapists how to communicate in a manner that promotes autonomous patient motivation. Physiotherapists in the waitlist control arm (two hospitals and four primary care clinics) will not receive this training. Participants (N = 292) with chronic low back pain will complete assessments at baseline, as well as 1 week, 4 weeks, 12 weeks, and 24 weeks after their first physiotherapy appointment. Primary outcomes will include adherence to physiotherapy recommendations, as well as low back pain, function, and well-being. Participants will be blinded to treatment allocation, as they will not be told if their physiotherapist has received the communication skills training. Outcome assessors will also be blinded.
We will use linear mixed modeling to test between arm differences both in the mean levels and the rates of change of the outcome variables. We will employ structural equation modeling to examine the process of change, including hypothesized mediation effects.
This trial will be the first to test the effect of a self-determination theory-based communication skills training program for physiotherapists on their low back pain patients’ adherence to rehabilitation recommendations.
Current Controlled Trials ISRCTN63723433
Low back pain is a significant global problem, with up to 85% of the population in developed countries experiencing an acute episode at some point in their lifetime . A significant number of these patients develop chronic low back pain (CLBP), defined by persistent disabling pain in the lumbar spine, with or without radiation to the buttock and lower limbs , for more than 12 weeks . In addition to pain complaints, CLBP is associated with reduced physical function, reduced social participation, increased symptoms of psychological distress, and poorer quality of life . It is also an increasingly costly condition, due to the expense of treatment and lost productivity. Accounting for 0.8 to 2.1% of gross domestic product in many western countries , CLBP is estimated to be the second largest single cause of work absence in the United Kingdom . As a result, the efficacy of treatments designed to alleviate CLBP has been the subject of much scientific attention .
Physical activity (PA) and exercise therapy (i.e., specific repetitive movements intended to reduce LBP)  are among the accepted clinical rehabilitation guidelines and are recommended self-management strategies  for this condition. However, many LBP sufferers do not adhere to their physiotherapist’s recommendations regarding PA and exercises [9, 10]. Poor patient adherence may decrease the effectiveness of PA advice and home-based rehabilitation exercises . Therefore, interventions that can increase patients’ adherence may also enhance treatment outcomes .
Theory-based interventions are needed in the health domain , as they provide greater understanding of the process of change and may ultimately lead to more effective interventions [14, 15]. A recent Cochrane systematic review indicated that there was support for therapeutic interventions designed to increase adherence to treatments for musculoskeletal pain conditions . Indeed, the review found moderate sized effects on patients’ adherence. Unfortunately, only two of these interventions [17, 18] were based on a relevant behavior change theory that might explain the process of change resulting from the intervention. Therefore, the most effective methods to increase adherence and the active components of the majority of these interventions remain unclear. Recommendations from recent research [19, 20] and the Medical Research Council  have reiterated the importance of (i) using theory and, where possible, empirical evidence to guide the development of interventions and (ii) investigating treatment fidelity and the process of change to allow researchers to provide effective advice for successful implementation into practice.
A theory-based intervention to improve adherence should aim to address factors that influence chronic low back pain patients’ rehabilitation behavior. Research indicates that these factors may include (i) the physiotherapist-patient relationship [21, 22], (ii) the delivery of advice , self-efficacy [19, 24], and motivation for treatment [25, 26]. Self-determination theory (SDT)  may provide a useful framework for addressing these factors, thereby increasing treatment adherence, and improving patient outcomes.
When the social context (i.e., interactions with other people) satisfies the three basic psychological needs, individuals are more likely to autonomously regulate their behaviors, and thus lasting behavior change is more likely . In health-related domains, this suggests that healthcare practitioners’ communication behaviors can be enhanced to more fully support patients’ psychological needs and, thereby, autonomously motivate their health–related behaviors. In this context, the concept of autonomy support represents an interpersonal climate in which the provider (e.g., physiotherapist) considers the perspective of the patient, provides relevant information and opportunities for choice, and encourages the individual to accept personal responsibility for health behaviors without judging or coercing the patient (see further examples in method section) . In contrast, a controlling health care climate involves disregarding patients’ views, pressuring patients, and making the decisions on the patients’ behalf without consultation. Unfortunately, research has indicated that when interacting with patients, physiotherapists  and other healthcare practitioners  often adopt a controlling approach.
We conducted a pilot study  to establish if an SDT-based intervention designed to enhance physiotherapists’ communication skills had the capacity to influence the targeted variable (autonomy support) and produce change in the proposed mediators (perceived competence and autonomous motivation), as well as treatment adherence for CLBP patients attending physiotherapy. The findings suggested that the SDT-based training enhanced physiotherapists’ autonomy supportive communication skills and provided initial evidence that the intervention improved patients’ perceived competence, autonomous motivation, and treatment adherence. However, the study was limited by the small sample and a number of study design factors, such as unexpected between group differences in the duration of patients’ LBP and the lack of true baseline measures. Nonetheless, these preliminary results were positive and provided estimates of moderate sized effects. The proposed study is an extension of the pilot study and addresses the above limitations.
The aim of this cluster randomized controlled trial (RCT) is to assess the effect of an intervention designed to increase physiotherapists’ autonomy-supportive communication on CLBP patient’s adherence to physical activity and LBP exercise recommendations.
Patients in the experimental arm will report significantly greater weekly physical activity (PA) participation compared with their pre-treatment PA levels and compared with patients in the control arm. They will also report greater self-rated adherence to physiotherapists’ recommendations compared with the patients in the control arm. Compared with physiotherapists in the control arm, physiotherapists in the experimental arm will rate their patients as more adherent during physiotherapy sessions.
Patients in the experimental arm will report significantly decreased pain, increased function, greater low back pain (LBP)-related well-being and greater perceived global improvement after treatment compared with their pre-intervention scores, and compared to patients in the control arm.
Compared with their pre-treatment scores and compared with patients in the control arm, patients in the experimental arm will report significantly lower fear-avoidance beliefs and controlled motivation, as well as significantly greater competence and autonomous motivation.
Patients in the experimental arm will rate their physiotherapists as significantly more autonomy supportive than patients whose physiotherapists were assigned to the control arm. As a result of heightened self-awareness that comes from participation in communication skills training, physiotherapists assigned to the experimental arm will rate themselves as less autonomy supportive than physiotherapists assigned to the control arm. Independent raters of audio recordings of patient-physiotherapist interactions will rate experimental arm physiotherapists as more autonomy supportive than physiotherapists assigned to the control arm. Physiotherapists in the experimental arm will employ the specific communication strategies taught in the workshops with higher quality than physiotherapists from the control arm (who will not attend these workshops).
The influence of the experimental manipulation on outcomes (pain, function, and well being) will be mediated by patients’ rating of the physiotherapist’s autonomy support, perceived competence, autonomous motivation, fear-avoidance beliefs and adherence (see Figure 2).
Participant recruitment, consent, allocation and blinding
Managers of 12 publicly funded outpatient physiotherapy centers in the Dublin, Ireland area (population = 1.25 million) have agreed to participate. Centers include outpatient physiotherapy departments located in the four largest hospitals in the city and all eight primary community and continuing care clinics (hereafter referred to as “community clinics”) in the greater Dublin area. Centers will be assigned to the experimental or control arm after they have agreed to participate in the study, so the researchers (DAH and AH) who recruited the centers will be blinded to allocation. To assign the four hospitals to the two conditions (1:1), a person blinded to the purposes of the study will use a computerized random number generator algorithm. The same procedure will be used to randomly assign (1:1) the eight community clinics to the two conditions. A researcher (CL) will contact all physiotherapists to inform them of their allocation arm. Experimental arm physiotherapists will begin the communication skills training workshops within two weeks of allocation. Control arm physiotherapists will be offered the opportunity to complete the training at the end of the trial (i.e., waitlist control).
Investigators responsible for the monitoring of treatment and attending to clinical issues that arise during the conduct of the study will be unblinded. Investigators responsible for data collection will be blinded to treatment allocation for the duration of trial. The investigators responsible for data analysis will use a coded dataset to ensure blinding.
Ethical approval has been granted by Research Ethics Committees that cover all recruitment sites. These include the (i) Adelaide and Meath Hospital Ethics Committee, (ii) Connolly Hospital Ethics Committee, (iii) Beaumont Hospital Ethics Committee, (iv) St. Vincent’s University Hospital Ethics Committee, and (v) Health Service Executive for Dublin Primary Care Community Clinics (Kildare, West Wicklow, Dublin SouthWest, North Dublin, Dublin North City, Dun Laoghaire, Dublin South East, Dublin South West, Wicklow, and Dublin South City).
All physiotherapists at participating sites will be informed that the trial is designed to evaluate the effect of a communication skills training program and will be invited to participate in the study. All physiotherapists practicing in publicly funded clinical settings in Ireland must be Chartered Physiotherapists. No further inclusion or exclusion criteria will be specified. Those who agree to participate will be asked to provide written consent, complete a baseline assessment, and attend a one hour education session (“Evidence-based care for CLBP management refresher workshop”). Physiotherapists will not be blinded to treatment allocation, as they are implementing the intervention with patients.
Inclusion and exclusion criteria
18 to 70 years
LBP of mechanical origin with/ without radiation to the lower limb
chronic (≥3 months) or recurrent (≥3 episodes in previous year)
English speaking and English literate.
Access to a telephone
Suspected or confirmed serious spinal pathology (fracture, metastatic, inflammatory or infective diseases of the spine, cauda equina syndrome/widespread neurological disorder).
Nerve root compromise (2 of strength, reflex or sensation affected for same nerve root)
Past medical history
Spinal surgery or History of systemic / inflammatory disease
Current medical status
Scheduled for major surgery during treatment
Currently or having received treatment for CLBP within previous 3 months
Suspected or confirmed pregnancy
Unstable angina / uncontrolled cardiac dysrhythmias / severe aortic stenosis / acute systemic infection accompanied by fever. No confounding conditions, such as a neurological disorder, intellectual disorder.
Note: Individuals suspected of having a serious spinal pathology or any contraindication to exercise will be referred to their medical practitioner for review. Once cleared by their medical practitioner they will be reconsidered for inclusion in the trial.
Evidence-based care for CLBP management refresher workshop
In both the experimental and control arms, physiotherapists will participate in a one-hour refresher workshop on evidence-based physiotherapy care for CLBP, including recommendations to include PA as part of home-based rehabilitation. This workshop will be delivered by a research investigator (DAH) who holds a PhD in back pain research in Physiotherapy. The physiotherapists will also be provided with a one-page summary of the recommended advice to patients based on current evidence-based clinical guidelines for CLBP. The purpose of this session is not to teach physiotherapists new interventions, but to provide a brief reminder of current standard practice guidelines and help ensure that recommendations provided by physiotherapists are similar between arms. This session will also offer the opportunity to answer any questions physiotherapists may have regarding the study protocol and data-collection. Additionally, the Research Physiotherapist will use the end of the workshop to provide instruction on how to complete the treatment record and adherence assessment used in data collection for every included patient (see assessment procedures).
Experimental Treatment – Theory-based Communication Skills Training Workshops (CONNECT)
In addition to the evidence-based CLBP care refresher workshop, the physiotherapists in the experimental arm will complete eight hours of communication skills training. A research investigator (CL) who holds a PhD in Sport and Exercise Psychology will deliver these training workshops based on self-determination theory principles, implemented via the ‘5A’ framework (ask, advise, agree, assist, arrange) [32, 37].
Mapping communication strategies to the ‘5A’ framework and self-determination theory
Description / Example
Main Basic Psychological Need(s) Targeted
Using Open-Ended Questions
“Tell me”/“What”/”How” are useful terms when asking questions, as they allow the patient to elaborate on his/her story. Example: “What kind of things are you doing to alleviate the pain at the moment”
Using Single Questions
Avoid asking multiple questions at one time. Instead, ask one question and wait for a response before asking a second question.
Allow the patient to complete sentences and finish speaking before following up with further questions.
After listening to the patient, summarize your perception of the main points. Examples: “So what I am hearing is that…” or “It sounds like …”
Show the patient that you understood the emotions that went along with the issue being discussed. Examples: “I can see this upsets you” or “That must be very frustrating”.
Gauging Patient Readiness to accept advice
Ask the patient if he or she is ready to consider advice regarding activities outside the clinic. Example: “There a number of things you can do that will help … would you like to hear a few suggestions?”
Catering for Different Learning Preferences
Use a selection of methods (aural, visual, kinesthetic) to educate the patient (during session and take home materials); these methods cater for multiple learning preferences.
Closing the Loop
Ask patients to paraphrase/demonstrate information that had been provided. Provide corrective feedback as required, and re-test understanding. Example: “To be sure that I was clear, could you please tell me, in your own words, your understanding of the …”
Providing a Rationale
Explain to the patient the rationale behind your advice. Example: “As we discussed earlier, your back needs support from the muscles around. So, if you can do these exercises, you can really provide your back with extra support …” or “Research shows that PA, such as walking, is a great way to…”
Providing Opportunities for Patient Input or Choice
Ask the patient to provide input or make choices when providing advice. Example: “Getting some physical activity –like going for a walk, riding your bike or swimming – is really good for your back. Is there a type of exercise that you prefer?”
Using Autonomy Supportive Phrases Instead of Controlling Language
Support and encourage the patient to accept personal responsibility for his/her recovery. Avoid coercion or guilt inducing phrases. Examples: “Here are some things that will help you overcome…” or “If you complete these exercises then you’ll strengthen your back and it will be less likely to give you pain”, instead of “Do this for me” or “You have to…” or “You must…”.
Autonomy & Competence
Employing SMART Goal Setting
Agreed on goals that are Specific, Measurable, Achievable, Recorded, and Time-based. Example: Earlier you mentioned that you are finding it hard walking for long periods. For this week we could set a target of 15 minutes walking per day, how many days do you think you couldachieve that target in the next week?”
Ensuring Active Patient Participation in Goal Setting
Ask the patient for his/her opinions/comments during goal setting.Take into account patient’s subjective history (e.g. family/work commitments). Example: What time of day would suit you best for these exercises?
Autonomy & Competence
Identifying Barriers and Obstacles
Discuss at least one likely barrier to following treatment advice. Example: “Is there anything you can think of that might stop you from accomplishing your exercise goal?”
Identifying Solutions and Obstacles
Brainstorm with the patient ways to overcome this barrier (e.g. ‘identifying enablers’ and ‘cognitive restructuring’). Examples: “Walking can be a fun and social activity that doesn’t seem like hard work. How would you feel about walking with a friend/neighbor?” and suggest changing thoughts from “I am too out of shape to walk to the shop” to “If I take it nice and easy and remember to breathe, relax and take a rest when I need one, I will be able to walk to the shop.”
Competence & Autonomy
Providing a Rehabilitation Diary
Provide the patient with a rehabilitation diary to help him/her keep track of home-based rehabilitation (e.g., exercise, physical activity).
Competence & Autonomy
Suggest a specific follow-up appointment, provide guidance regarding when an appointment should be arranged (e.g., no more than 2 weeks later), or inform the patient that no follow-up appointment is needed.
Relatedness & Competence
Invite the patient to contact you in the event of difficulties or questions.
Relatedness & Competence
Training will include handouts, workbooks, video examples, role-play, and discussion. These training methods (apart from the video examples) were successfully piloted in two Dublin-area physiotherapy clinics in 2009 . At the end of each session, each physiotherapist will work with the workshop leader (CL) to set goals for strategy implementation during treatment sessions. The goals along with likely obstacles and solutions to overcome will be recorded. Physiotherapists in the experimental arm will receive individual follow-up emails 4 weeks and 10 weeks after the completion of training. During these follow-ups, the workshop leader will discuss progress towards the attainment of the implementation goals and provide assistance to resolve any problems physiotherapists may encounter when employing autonomy supportive communication in their clinical practice. Finally, treatment record forms for physiotherapists in the experimental arm will include 5A prompts, with specific reminders to use strategies taught during the communication skills workshops.
Prior to randomization, all physiotherapists participating in the study will be asked to complete a series of questionnaires (10 minutes long). These questionnaires are listed in Appendix A and will be completed prior to the “Evidence-based care for CLBP management refresher workshop” (see intervention section).
Treatment phase assessment
All physiotherapists will be provided with a Treatment Record and Adherence Assessment for each patient. This is a two-page assessment that will be completed by the physiotherapist (3–5 minutes) after each treatment session.
Outcome assessment timeline
Primary outcome measures
Clinic-based adherence to physiotherapist’s recommendations
General adherence to physiotherapist‘s recommendations
Specific adherence to back exercises and physical activity advice
Self-reported physical activity
Low Back Pain Symptoms
Patient specific function
Pain-related Well Being
Quality of life
Autonomy support from physiotherapist
Fear avoidance beliefs regarding physical activity
Perceived competence regarding ability to follow physiotherapist’s recommendations
Autonomous and controlled motivation to following physiotherapist’s recommendations
Objectively measured physical activity
Perception of recovery
Expectation of treatment
Physiotherapist’s general causality orientations
Physiotherapist’s autonomous and controlled motivation for participation in training.
Follow-up assessments (Week 1)
At week 1, after the patient’s initial physiotherapy session, he/she will be contacted by a blinded researcher to record the pedometer step count for the previous seven days, self-reported PA, and adherence. This will be done by a telephone call or an email, depending on the patient’s preference (provided at the time of recruitment). At this time, the patient can ask any questions regarding the use of their pedometer or any other general questions pertaining to their involvement in the study.
Follow-up assessments (Weeks 4, 12, and 24)
Follow-up outcome measures at Weeks 4, 12, and 24 will be collected via one of three methods, depending on patient preference; (i) over the telephone with a blinded research investigator, (ii) online questionnaire or (iii) hardcopy of the questionnaire sent via post with a pre-paid return envelope. Attempts to ensure complete follow-up data is collected on time will involve; (i) pre-posting the follow-up questionnaire to the patient 1 week before it is due with a pre-paid self-addressed return envelope for easy return postage, (ii) sending a text message to let the patient know the follow-up assessment has been posted, (iii) the Research Physiotherapist telephoning the patient during the week the assessment is due to ensure the patients has received the questionnaire and answer any questions he or she may have. In situations where the assessment is overdue by two weeks, the Research Physiotherapist will contact the patient by telephone and, if contact is not made, she will send a handwritten letter asking the patient to complete and return the questionnaire.
A brief description of the outcomes is listed below. The timeline of assessments is detailed in Table 3. Detailed descriptions and references for these measures are presented in Appendix A.
Primary outcome measures
General adherence to physiotherapy recommendations, during the therapy session as rated by the physiotherapist [adapted version of Sports Injury Rehabilitation Adherence Scale] and outside the clinic as rated by the patient [Adherence to Physiotherapists’ Recommendations Scale]. We will also collect information regarding the patient’s recall and adherence to recommendations regarding specific back exercises and PA using an adapted version of a Home Exercise Compliance Assessment.
PA level, self-reported using the International Short Form Physical Activity Questionnaire.
Back Pain Symptoms, Function and Well Being, measured by Pain Intensity [Numerical Rating Scale], Pain Bothersomeness, the Roland Morris Disability Questionnaire, the Patient Specific Functional Scale, the European Quality of Life Questionnaire, and the Perception of Recovery Scale.
Secondary outcome measures
We will employ secondary outcomes that we expect to change as a result of the intervention and could explain the effect of the intervention on the primary outcomes; including the measurement of autonomy support, perceived competence, autonomous and controlled motivation, as well as fear avoidance as it relates to physical activity.
We will also measure specific individual factors at baseline that could influence the treatment effect. These include the therapist’s personality (causality orientations) and motivation to participate in the study, the therapist and patient’s treatment expectations, and the patient’s baseline levels of depressive symptoms. Descriptions and references for these measures are presented in Appendix A.
Audio-recordings will be used to assess fidelity of treatment. For this outcome, at least 20% of the physiotherapists in the control arm and at least 20% of physiotherapists in the experimental arm will be asked to audio record one of their treatment sessions with a study participant. These sessions must be an initial (week 1) appointment. Each audio recording will be assessed by an expert rater, who will be blinded to specific study hypotheses and allocation of the physiotherapist to the experimental or control arm. Raters will assess the overall autonomy support provided. Using a tool that will be designed specifically for this study, they will also rate the quality of the physiotherapist’s use of the 18 strategies taught during the communications skills workshops (i.e., fidelity).
The research team will monitor the integrity of trial data. For physiotherapist treatment record form data, which are slightly different between experimental and control arms (i.e., 5A prompts described in the intervention section), a research investigator un-blinded to treatment allocation will perform regular data checks during data entry and provide feedback to physiotherapists regarding data omissions where necessary. For patient data, a blinded investigator will enter data within 72 hours of patient completion and follow-up with patients regarding missing data that could be salvaged. All data will be double entered, to detect and correct input errors.
The sample for the study was calculated using data from our recent pilot study . The effect sizes observed in that investigation were d = .4 for adherence and satisfaction with back pain, and d = .5 for PA-walking behavior. These effect sizes are similar to those reported in a recent Cochrane review of trials investigating the effectiveness of interventions designed to increase adherence among chronic pain patients . As a result, the estimated sample required for 80% power (α = .05) to detect a between arm effect of d = .4 in a non-clustered RCT, using a t-test, would be 156 (n = 78 per arm).
To account for the clustered nature of the data, we multiplied this sample size by a correction factor of 1 + (m − 1)ρ, where m was the mean expected cluster size and ρ was the anticipated intracluster correlation coefficient . Based on previous research in clinical settings regarding physical activity in patients with CLBP [18, 23], we estimated that the ICC would be 0.03. Assuming we recruit m of 22 patients per clinic, the correction factor is 1.63 for our cluster-randomized design. To account for the clustered design, the study would require 254 participants to achieve 80% power for the adherence and LBP related data.
We anticipate that approximately 15% of participants will not complete follow-up assessments . Traditionally, one would account for this loss to follow up and increase the sample size by 15% to 292 participants (146 per arm). However, as our method of analysis (linear mixed models, see statistical methods section) does not require list-wise deletion, and therefore loss to follow-up is expected to have negligible impact. Indeed, Chakraborty and Gu  demonstrated that up to 20% of the observations can be missing without a meaningful loss of power for mixed modeling approaches. As such, our intended sample of 292 patients will provide more than 80% power to detect significant effects in these primary outcomes.
Researchers will analyze the data using a coded dataset and these individuals will not become unblinded until analysis is complete. Participants’ data will be analyzed according to their assigned arm of the study, regardless of whether they attend their physiotherapy treatment sessions or not (i.e., intention-to-treat principle).
Fidelity of the intervention will be assessed in a subsample of patients. We will employ between-arm comparisons of autonomy support ratings made by (i) patients, (ii) physiotherapists and (iii) independent, blinded raters of audio recordings. We will also compare 5A strategy use, as measured by independent, blinded raters of audio recordings.
The main study hypotheses will be explored using linear-mixed modeling with measurement occasions, patients, physiotherapists, and clinics as potential levels of the analysis. Using a dummy-coded “treatment” variable (experimental vs. control) as a predictor in the model, we will test differences both in the mean levels and the rates of change of the primary and secondary outcome variables. The primary endpoint for the analysis will be data collected at week 24. Lastly, in order to examine the process of change, we will conduct a structural equation modeling analysis, accounting for clustering effects, to test the direct and mediated relationships outlined in Figure 2.
No adverse events are expected as a result of communication skills training. Patients and physiotherapists will be informed that any adverse events should be reported to and will be documented by the research team.
Potential inconveniences to the participant
As part of the study, participants will be asked to volunteer their time for the following activities that are beyond the requirements of a normal physiotherapy session; (i) baseline assessment which will require approximately 20 minutes before their initial physiotherapy appointment and five minutes after the session to complete the assessment booklet; (ii) during weeks 1, 4, 12, and 24 all participants are asked to wear a pedometer during waking hours and (iii) during week 1, five minutes will be needed to complete follow-up assessments (iv) during week 4, 12, and 24, approximately 15 minutes will be required to complete follow-up assessments.
Pedometers are limited as tools to measure physical activity. For example, they only provide a total number of steps in a given period, so they cannot measure the intensity of PA at a given time point or the proportion of time spent in activity above a certain intensity during a particular period. However, limited funding for this project means that it will not be possible to include more costly measures, such as accelerometers, that would likely provide more detailed data regarding physical activity.
In line with SDT tenets, the communication skills training intervention in this trial was designed to teach physiotherapists strategies that would support patients’ basic psychological needs for autonomy, competence, and relatedness. While the health behavior change model , upon which our study hypotheses are largely based, does not specifically include autonomy or relatedness perceptions, these constructs are theoretical mediators (along with competence) of the relationship between autonomy support and autonomous motivation . As such, it would have been preferable to measure perceptions of autonomy and relatedness. Unfortunately, to the authors’ knowledge, there are no existing measures designed to tap these constructs in the physiotherapy setting or in the context of CLBP rehabilitation. We attempted to adapt measures of autonomy and relatedness from a similar context , but pilot data indicated significant difficulties in operationalizing these constructs. Thus, we decided not to include these measures. Further research is needed to develop scales to measures these constructs in the CLBP patient population.
Demographic Information: Each participant will have a consultation with the Research Physiotherapist to collect demographic information and medical history. (i.e. age, gender, education level, occupation and work status, past medical history, and low back pain history).
Sports Injury Rehabilitation Adherence Scale: This questionnaire is designed to measure physiotherapists’ perceptions of their patient’s rehabilitation adherence. It has been shown to be a reliable scale for use in clinical physiotherapy .
Adherence to Physiotherapist’s Recommendations Scale: To measure overall levels of adherence, we will employ the two-item adherence scale previously employed by Chan et al. . The scale demonstrated acceptable internal consistency in their study involving physiotherapists.
Home Exercise Compliance Assessment: To measure specific adherence to back exercise and physical activity advice we will calculate the percentage of prescribed sessions completed per week (Note: # prescribed session per week will be self-reported and confirmed from physiotherapists’ records). This measure has been previously employed in LBP studies .
Physical activity (PA)
International Short Form Physical Activity Questionnaire (IPAQ): This questionnaire has produced reliable and valid scores across diverse populations .
Back pain symptoms
Pain Intensity Numerical Rating Scale (Pain NRS): The pain intensity NRS measures the participant’s average pain over the previous seven days on a 0–10 scale where 0 is “no pain” and 10 is “worst ever pain”. This scale is easy to administer and is widely used in both research and clinical practice settings where it has been shown to demonstrate good construct validity and is sensitive to change .
· Pain Bothersomeness: Following recommendations from a recent Cochrane review we will employ the “Bothersomeness Scale”, “Interference with Work Scale” and “Satisfaction with Current Symptoms Scale” from the “Core Set of Outcomes” .
Pain-related physical function
Roland Morris Disability Questionnaire (RMDQ): This questionnaire consists of 24 yes/no items regarding the impact of back pain on activities of daily living. The RMDQ is used widely in low back pain studies as a standardized measure of activity limitation and has demonstrated good validity, reliability and responsiveness [45, 46].
Patient Specific Functional Scale (PSFS): This questionnaire is designed to assess the level of limitation on three patient-nominated activities they have difficulty performing because of their back pain. This questionnaire is anticipated to capture difficult activities that may not be represented on standardized tools. The PSFS has been shown to be a responsive measure for patients with back pain undergoing exercise-based physiotherapy treatments .
European Quality of Life Questionnaire (EuroQol): The EuroQol is a standardized instrument that provides a simple descriptive profile and a single weighted health index value for health status. It is applicable to a wide range of health conditions for which it has been shown to demonstrate good validity and reliability .
Health Care Climate Questionnaire: is a six-item scale used to assess autonomy support that has demonstrated good reliability and validity .
Treatment Self-Regulation Questionnaire: This instrument is used to assess autonomous and controlled motivation. It has demonstrated good reliability and validity across diverse health-related behaviors .
Perceived Competence Scale: This four-item scale has consistently produced scores with good reliability and validity in relation to a variety of health-related behaviors, including PA .
Fear Avoidance Beliefs Questionnaire physical activity subscale: This is a five-item self-report questionnaire that specifically focuses on participants’ beliefs about how physical activity affects their low back pain .
Objectively-measure physical activity: We will measure all patients’ PA using a pedometer, which are relatively inexpensive (approximately €20) and provide basic data on daily step counts. A systematic review showed that pedometer scores correlated strongly (median r = .86) with accelerometer scores for step counts .
Global Perceived Effect Scale (GPE): The GPE is an 11-point NRS that assesses the patient’s perception of recovery. It is considered to have high face validity and is often used as the reference standard against which other subjective measures are tested when assessing their measurement properties .
General Causality of Orientations Scale (GCOS): This is a 17-item scale that assesses the strength of different global motivational orientations within an individual . Subscales for autonomous, controlled and impersonal personality types are included.
Motivation to Participate Questionnaire: to be completed by Physiotherapists in experimental arm , this questionnaire measures participants’ autonomous and controlled motivation for learning.
Expectation of Treatment Scale: A numerical rating scale designed to assess the therapist and patient’s expectation of the intervention/treatment. It has been used widely in studies of physical interventions and shown to be a potential influencing factor in treatment outcome .
Depression Anxiety Stress Scale (DASS) Depression subscale: The DASS includes a set of three self-report scales designed to measure symptoms of psychological distress including depression, anxiety and stress, this study will employ the seven-item depression subscale .
We acknowledge the Health Research Board for a Health Research Award (HRA_POR/2010/102) that funded this project.
We thank Tim Grant of the Centre for Support and Training in Analysis and Research (CSTAR) at University College Dublin for his input on power analysis and statistical methods.
- Walker BF, Muller R, Grant WD: Low back pain in Australian adults Health provider utilization and care seeking. J Manip Physiol Ther. 2004, 27 (5): 327-335. 10.1016/j.jmpt.2004.04.006.View ArticleGoogle Scholar
- Airaksinen O, Brox J, Cedraschi C, Hildebrandt J, Klaber-Moffett J, Kovacs F, Mannion A, Reis S, Staal J, Ursin H, et al: Chapter 4. European guidelines for the management of chronic nonspecific low back pain. Eur Spine J. 2006, 15 (S2): 192-300. 10.1007/s00586-006-1072-1.View ArticleGoogle Scholar
- Higgins JPT, Sally Green P: Cochrane handbook for systematic reviews of interventions, vol. 4. 2011, John Wiley & Sons, ChichesterGoogle Scholar
- Bogduk N: Management of chronic low back pain. Medical Journal of Australia. 2004, 181: 55-55.Google Scholar
- Lin CW, Haas M, Maher CG, Machado LA, van Tulder MW: Cost-effectiveness of guideline-endorsed treatments for low back pain: a systematic review. European Spine Journal. 2011, 20 (7): 1024-1038. 10.1007/s00586-010-1676-3.View ArticlePubMedPubMed CentralGoogle Scholar
- Chartered Institute of Personnel and Development: Annual survey report. In Accessed March 29, 2011 from. 2011,http://wwwcipdcouk/NR/rdonlyres/E0CD22D4-0BA8-4A7A-A9E1-DAFC7B8550D1/0/5343_AbsenceManagementsurveyreport2010pdf,Google Scholar
- Hayden JA, Tulder MWv, Malmivaara A, Koes BW: Exercise therapy for treatment of non-specific low back pain. Cochrane Database of Systematic Reviews. 2005, CD000335.pub2-10.1002/14651858.CD000335.pub2. 3Google Scholar
- Hurwitz E, Morgenstern H, Chiao C: Effects of recreational physical activity and back exercises on low back pain and psychological distress: findings from the UCLA Low Back Pain Study. Am J Public Health. 2005, 95 (10): 1817-10.2105/AJPH.2004.052993.View ArticlePubMedPubMed CentralGoogle Scholar
- Frih Z, Fendri Y, Jellad A, Boudoukhane S, Rejeb N: Efficacy and treatment compliance of a home-based rehabilitation programme for chronic low back pain: A randomized, controlled study. Annals of Physical and Rehabilitation Medicine. 2009, 52 (6): 485-496. 10.1016/j.rehab.2009.04.002.View ArticleGoogle Scholar
- Kolt GS, McEvoy JF: Adherence to rehabilitation in patients with low back pain. Man Ther. 2003, 8 (2): 110-116. 10.1016/S1356-689X(02)00156-X.View ArticlePubMedGoogle Scholar
- Taimela S, Diederich C, Hubsch M, Heinricy M: The role of physical exercise and inactivity in pain recurrence and absenteeism from work after active outpatient rehabilitation for recurrent or chronic low back pain: a follow-up study. Spine. 2000, 25 (14): 1809-10.1097/00007632-200007150-00012.View ArticlePubMedGoogle Scholar
- WHO: Adherence to long-term therapies: Evidence for action. In WHO Library. 2003, World Health Organization, Geneva, Switzerland, ISBN 92 4 154599 2 (NLM classification: W 85)Google Scholar
- Michie S, Johnston M, Francis J, Hardeman W, Eccles M: From theory to intervention: Mapping theoretically derived behavioural determinants to behaviour change techniques. Appl Psychol. 2008, 57 (4): 660-680. 10.1111/j.1464-0597.2008.00341.x.View ArticleGoogle Scholar
- Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M: Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008, 337 (7676): 979-983.Google Scholar
- Campbell M, Fitzpatrick R, Haines A, Kinmonth AL, Sandercock P, Spiegelhalter D, Tyrer P: Framework for design and evaluation of complex interventions to improve health. British Medical Journal. 2000, 321: 694-696. 10.1136/bmj.321.7262.694.View ArticlePubMedPubMed CentralGoogle Scholar
- Jordan J, Holden M, Mason E, Foster N: Interventions to improve adherence to exercise for chronic musculoskeletal pain in adults. The Cochrane Library. 2010, CD005956-10.1002/14651858.CD005956.pub2. 1Google Scholar
- Hughes SL, Seymour RB, Campbell R, Pollak N, Huber G, Sharma L: Impact of the fit and strong intervention on older adults with osteoarthritis. Gerontologist. 2004, 44 (2): 217-10.1093/geront/44.2.217.View ArticlePubMedGoogle Scholar
- Basler H-D, Bertalanffy H, Quint S, Wilke A, Wolf U: TTM-based counselling in physiotherapy does not contribute to an increase of adherence to activity recommendations in older adults with chronic low back pain – A randomised controlled trial. European Journal of Pain. 2007, 11: 31-37. 10.1016/j.ejpain.2005.12.009.View ArticlePubMedGoogle Scholar
- Rhodes R, Fiala B: Building motivation and sustainability into the prescription and recommendations for physical activity and exercise therapy: The evidence. Physiotherapy Theory and Practice. 2009, 25 (5): 424-441. 10.1080/09593980902835344.View ArticlePubMedGoogle Scholar
- Michie S, Abraham C: Interventions to change health behaviours: Evidence-based or evidence-inspired?. Psychol Heal. 2004, 19 (1): 29-49. 10.1080/0887044031000141199.View ArticleGoogle Scholar
- Slade SC, Molloy E, Keating JL: `Listen to me, tell me': a qualitative study of partnership in care for people with non-specific chronic low back pain. Clin Rehabil. 2009, 23 (3): 270-280. 10.1177/0269215508100468.View ArticlePubMedGoogle Scholar
- Cooper K, Smith B, Hancock E: Patient-centredness in physiotherapy from the perspective of the chronic low back pain patient. Physiotherapy. 2008, 94 (3): 244-252. 10.1016/j.physio.2007.10.006.View ArticleGoogle Scholar
- Leonhardt C, Keller S, Chenot J-F, Luckmann J, Basler H-D, Wegscheider K, Baum E, Donner-Banzhoff N, Pfingsten M, Hildebrandt J, et al: TTM-based motivational counselling does not increase physical activity of low back pain patients in a primary care setting–A cluster-randomized controlled trial. Patient Education and Counseling. 2008, 70 (1): 50-60. 10.1016/j.pec.2007.09.018.View ArticlePubMedGoogle Scholar
- Sluijs E, Kok G, van der Zee J: Correlates of exercise compliance in physical therapy. Phys Ther. 1993, 73 (11): 771-PubMedGoogle Scholar
- Friedrich M, Gittler G, Halberstadt Y, Cermak T, Heiller I: Combined exercise and motivation program: Effect on the compliance and level of disability of patients with chronic low back pain: A randomized controlled trial* 1. Archives of Physical Medicine and Rehabilitation. 1998, 79 (5): 475-487. 10.1016/S0003-9993(98)90059-4.View ArticlePubMedGoogle Scholar
- Chan DK, Lonsdale C, Ho HP, Yung PSH, Chan KMT: Patient motivation and adherence to post-surgery rehabilitation exercise recommendations: The influence of physiotherapists’ autonomy supportive behaviors. The Archives of Physical Medicine and Rehabilitation. 2009, 90 (12): 1977-1982. 10.1016/j.apmr.2009.05.024.View ArticlePubMedGoogle Scholar
- Ryan RM, Deci EL: Overview of self-determination theory: An organismic dialectical perspective. Handbook of self-determination research. Edited by: Deci EL, Ryan RM. 2002, The University of Rochester Press, Rochester NYGoogle Scholar
- Ng J, Thogersen-Ntoumani EC, Ntoumanis N, Deci EL, Ryan RM, Duda JL, Williams GC: Self-Determination Theory applied to health contexts: A meta-analysis. Perspect Psychol Sci. 2001, in pressGoogle Scholar
- Braddock CH, Edwards KA, Hasenberg NM, Laidley TL, Levinson W: Informed decision making in outpatient practice: Time to get back to basics. JAMA. 1999, 282 (24): 2313-2320. 10.1001/jama.282.24.2313.View ArticlePubMedGoogle Scholar
- Williams GC, McGregor HA, Sharp D, Levesque C, Kouides RW, Ryan RM, Deci EL: Testing a self-determination theory intervention for motivating tobacco cessation: Supporting autonomy and competence in a clinical trial. Heal Psychol. 2006, 25 (1): 91-101.View ArticleGoogle Scholar
- Williams GC, McGregor HA, Zeldman A, Freedman ZR, Deci EL: Testing a Self-Determination Theory Process Model for Promoting Glycemic Control Through Diabetes Self-Management. Heal Psychol. 2004, 23: 58-66.View ArticleGoogle Scholar
- Fortier MS, Sweet SN, O'Sullivan TL, Williams GC: A self-determination process model of physical activity adoption in the context of a randomized controlled trial. Psychology of Sport and Exercise. 2007, 8 (5): 741-757. 10.1016/j.psychsport.2006.10.006.View ArticleGoogle Scholar
- Williams GC, Rodin GC, Ryan RM, Grolnick WS, Deci EL: Autonomous regulation and long-term medication adherence in adult outpatients. Heal Psychol. 1998, 17: 269-276.View ArticleGoogle Scholar
- Halvari AEM, Halvari H: Motivational predictors of change in oral health: An experimental test of self-determination theory. Motiv Emot. 2006, 30: 295-306.View ArticleGoogle Scholar
- Levy RL, Polman RCJ, Borkoles E: Examining the relationship between perceived autonomy support and age in the context of rehabilitation adherence in sport. Rehabilitation Psychology. 2008, 53: 224-230.View ArticleGoogle Scholar
- Lonsdale C, Murray A, Tenant Humphries M, McDonough S, Williams GC, Hurley D: Testing a theory-based intervention designed to increase chronic low back pain patients’ adherence to physiotherapists’ recommendations: A pilot study. Journal of Sport & Exercise Psychology. 2010, 32: S192-S193.Google Scholar
- Meriwhether RA, Lafleur AS, Wiseman P: Physical Activity Counseling. Am Fam Physician. 2008, 77: 1129-1136.Google Scholar
- Campbell MK, Elbourne DR, Altman DG: CONSORT statement: Extension to cluster randomised trials. British Medical Journal. 2004, 328: 702-708. 10.1136/bmj.328.7441.702.View ArticlePubMedPubMed CentralGoogle Scholar
- Hurley D, O'Donoghue G, Tully M, Moffett J, van Mechelen W, Daly L, Boreham C, McDonough S: A walking programme and a supervised exercise class versus usual physiotherapy for chronic low back pain: a single-blinded randomised controlled trial. (The Supervised Walking In comparison to Fitness Training for Back Pain (SWIFT) Trial). BMC Musculoskelet Disord. 2009, 10 (1): 79-10.1186/1471-2474-10-79.View ArticlePubMedPubMed CentralGoogle Scholar
- Chakraborty: A Mixed Model Approach for Intent-to-Treat Analysis in Longitudinal Clinical Trials with Missing Values. 2009, Research Triangle Institute, Research Triangle Park, NCView ArticleGoogle Scholar
- Wilson PM, Rogers WT, Rodgers WM, Wild TC: The Psychological Need Satisfaction in Exercise Scale. Journal of Sport & Exercise Psychology. 2006, 28: 231-251.Google Scholar
- Kolt GS, Brewer BW, Pizzari T, Schoo AMM, Garrett N: The Sport Injury Rehabilitation Adherence Scale: A reliable scale for use in clinical physiotherapy. Physiotherapy. 2007, 93 (1): 17-22. 10.1016/j.physio.2006.07.002.View ArticleGoogle Scholar
- Craig C, Marshall A, Sjostrom M, Bauman A, Booth M, Ainsworth B, Pratt M, Ekelund U, Yngve A, Sallis J: International physical activity questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise. 2003, 35 (8): 1381-View ArticleGoogle Scholar
- Deyo RA, Battie M, Beurskens AJ, Bombardier C, Croft PR, Koes BW, et al: Outcome measures for low back pain research: A proposal for standardized use. Spine. 1998, 23 (18): 2003-2013. 10.1097/00007632-199809150-00018.View ArticlePubMedGoogle Scholar
- Roland M, Morris R: A study of the natural history of back pain: part I: development of a reliable and sensitive measure of disability in low-back pain. Spine. 1983, 8 (2): 141-10.1097/00007632-198303000-00004.View ArticlePubMedGoogle Scholar
- Pengel LHM, Refshauge KM, Maher CG: Responsiveness of pain, disability, and physical impairment outcomes in patients with low back pain. Spine. 2004, 29 (8): 879-10.1097/00007632-200404150-00011.View ArticlePubMedGoogle Scholar
- Stratford PW, Binkley J, Solomon P, Gill C, Finch E: Assessing change over time in patients with low back pain. Phys Ther. 1994, 74 (6): 528-533.PubMedGoogle Scholar
- Hurst NP, Kind P, Ruta D, Hunter M, Stubbings A: Measuring health-related quality of life in rheumatoid arthritis: validity, responsiveness and reliability of EuroQol (EQ-5D). Rheumatology. 1997, 36 (5): 551-559. 10.1093/rheumatology/36.5.551.View ArticleGoogle Scholar
- Williams GC, Freedman ZR, Deci EL: Supporting autonomy to motivate glucose control in patients with diabetes. Diabetes Care. 1998, 21 (10): 1644-1651. 10.2337/diacare.21.10.1644.View ArticlePubMedGoogle Scholar
- Levesque CS, Williams GC, Elliot D, Pickering MA, Bodenhamer B, Finley PJ: Validating the theoretical structure of the Treatment Self-Regulation Questionnaire (TSRQ) across three different health behaviors. Heal Educ Res. 2006, 22 (5): 691-702. 10.1093/her/cyl148.View ArticleGoogle Scholar
- Waddell G, Newton M, Henderson I, Somerville D, et al: A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain. 1993, 52 (2): 157-168. 10.1016/0304-3959(93)90127-B.View ArticlePubMedGoogle Scholar
- Tudor-Locke C, Williams JE, Reis JP, Pluto D: Utility of pedometers for assessing physical activity. Sports Medicine. 2002, 32 (12): 795-808. 10.2165/00007256-200232120-00004.View ArticlePubMedGoogle Scholar
- Kamper SJ, Maher CG, Mackay G: Global rating of change scales: a review of strengths and weaknesses and considerations for design. The Journal of Manual & Manipulative Therapy. 2009, 17 (3): 163-View ArticleGoogle Scholar
- Williams GC, Grow VM, Freedman ZR, Ryan RM, Deci EL: Motivational predictors of weight loss and weight-loss maintenance. J Personal Soc Psychol. 1996, 70 (1): 115-126.View ArticleGoogle Scholar
- Black AE, Deci EL: The effects of instructors' autonomy support and students' autonomy motivation on learning organic chemistry: A SDT perspective. Sci Educ. 1989, 84 (6): 740-756.View ArticleGoogle Scholar
- Smeets RJEM, Beelen S, Goossens MEJB, Schouten EGW, Knottnerus JA, Vlaeyen JWS: Treatment expectancy and credibility are associated with the outcome of both physical and cognitive-behavioral treatment in chronic low back pain. The Clinical Journal of Pain. 2008, 24 (4): 305-10.1097/AJP.0b013e318164aa75.View ArticlePubMedGoogle Scholar
- Lovibond SH, Lovibond PF: Maual for the Depression Anxiety Stress Scales. 1995, Psychology Foundation, SydneyGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/13/104/prepub
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