Skip to main content

Advertisement

Download PDF

Characteristics of therapeutic alliance in musculoskeletal physiotherapy and occupational therapy practice: a scoping review of the literature

BMC Health Services Research volume 17, Article number: 375 (2017) Cite this article

  • The Correction to this article has been published in BMC Health Services Research 2017 17:820

Abstract

Background

Most conventional treatment for musculoskeletal conditions continue to show moderate effects, prompting calls for ways to increase effectiveness, including drawing from strategies used across other health conditions. Therapeutic alliance refers to the relational processes at play in treatment which can act in combination or independently of specific interventions. Current evidence guiding the use of therapeutic alliance in health care arises largely from psychotherapy and medicine literature. The objective of this review was to map out the available literature on therapeutic alliance conceptual frameworks, themes, measures and determinants in musculoskeletal rehabilitation across physiotherapy and occupational therapy disciplines.

Methods

A scoping review of the literature published in English since inception to July 2015 was conducted using Medline, EMBASE, PsychINFO, PEDro, SportDISCUS, AMED, OTSeeker, AMED and the grey literature. A key search term strategy was employed using “physiotherapy”, “occupational therapy”, “therapeutic alliance”, and “musculoskeletal” to identify relevant studies. All searches were performed between December 2014 and July 2015 with an updated search on January 2017. Two investigators screened article title, abstract and full text review for articles meeting the inclusion criteria and extracted therapeutic alliance data and details of each study.

Results

One hundred and thirty articles met the inclusion criteria including quantitative (33%), qualitative (39%), mixed methods (7%) and reviews and discussions (23%) and most data came from the USA (23%). Randomized trials and systematic reviews were 4.6 and 2.3% respectively. Low back pain condition (22%) and primary care (30.7%) were the most reported condition and setting respectively. One theory, 9 frameworks, 26 models, 8 themes and 42 subthemes of therapeutic alliance were identified. Twenty-six measures were identified; the Working Alliance Inventory (WAI) was the most utilized measure (13%). Most of the therapeutic alliance themes extracted were from patient perspectives. The relationship between adherence and therapeutic alliance was examined by 26 articles of which 57% showed some correlation between therapeutic alliance and adherence. Age moderated the relationship between therapeutic alliance and adherence with younger individuals and an autonomy support environment reporting improved adherence. Prioritized goals, autonomy support and motivation were facilitators of therapeutic alliance.

Conclusion

Therapeutic Alliance has been studied in a limited extent in the rehabilitation literature with conflicting frameworks and findings. Potential benefits described for enhancing therapeutic alliance might include better exercise adherence. Several knowledge gaps have been identified with a potential for generating future research priorities for therapeutic alliance in musculoskeletal rehabilitation.

Peer Review reports

Background

Conventional treatments such as exercise commonly used in the management of musculoskeletal (MSK) conditions continue to show only moderate effects [1,2,3]. Research aimed at improving the effectiveness of treatment for MSK conditions should extend beyond condition specific interventions to include more general mediators of treatment such as communication or psychological interactions between patients and clinicians. One aspect of this is therapeutic alliance (TA) which has been described as the working relationship or positive social connection between the patient and the therapist [4] and established between therapist and client through collaboration, communication, therapist empathy, and mutual respect [5]. TA is a central component of the therapeutic process and is a determinant of treatment outcome [6, 7]. The origin of TA dates to back to Freud’s theory of transference and countertransference [6]. According to Bordin [4], TA can be applied to all change situations independent of the treatment modality and proposed a tripartite model of TA [8] consisting of three essential elements: agreement on the goals of the treatment, agreement on the tasks, and the development of a personal bond (reciprocal positive feelings) between the client and therapist.

TA has been studied extensively across a range of psychotherapy treatment modalities and aetiologies [9, 10] with recent findings showing a correlation with satisfaction, quality of life [11], psychological well-being [12], and symptom improvement [7]. Studies in medicine show that TA influences chronic disease care [13], improves adherence, satisfaction and quality of life [14], enhances communication [15, 16] and impacts decision quality [17]. This is opposed to recent interest in allied health disciplines like physiotherapy (PT) [20, 21] and occupational therapy (OT) [22]. Findings from physical rehabilitation show that TA is linked to engagement in stroke rehabilitation [16] and treatment outcomes in cardiac [17] and musculoskeletal (MSK) [18, 19] rehabilitation. It is notable that many studies used a TA conceptualization and outcome measures developed from psychotherapy and did not address TA as a primary research area. It also remains difficult to decide if outcomes are determined by specific techniques, mechanism of action or general processes like the TA [23]. This continues to limit the application of TA conceptualization from psychotherapy to PT and OT.

Furthermore, it remains unclear whether patient or therapist characteristics most determine outcome [24] and despite similarities, patient and therapist views of the key factors for effective TA may differ in important ways [25]. For example, it has been reported that clients view the TA in terms of collaborative work relationship, active commitment, bond, productive work, confident progress and agreement on goals/tasks while therapists focused on therapist confidence and dedication, client commitment and confidence, client working ability, and collaborative work relationship [25]. Thus, clients place greater emphasis on helpfulness, joint participation in therapy and negative signs of TA compared to therapists. Adherence is a patient characteristic linked to therapeutic change and considered an area of priority in MSK research and practice [26,27,28]. In physical rehabilitation, adherence has the potential to unlock some of the problems associated with understanding how TA exert its effect. Recent evidence shows TA may be the best predictor of adherence to exercise in MSK PT practice [29] and facilitator of patient engagement in OT practice [30]. Identifying the components of therapy responsible for symptomatic change would aid in the theoretical understanding of the processes underlying therapeutic change, improve practice and support development of effective practice [31]. Delineating the role of TA as a mediator, predictor or moderator of adherence may enhance understanding of TA as a therapeutic agent in MSK practice [32].

Based on these shortcomings in the TA literature, a comprehensive review of primary research in TA is required to map the breadth of literature for MSK conditions to advance knowledge in the following areas: conceptualization, active ingredients, psychometrically sound measures, mechanism of effect, and the mediating, moderating or predicting effect of TA on adherence. To this end, we conducted a scoping review of TA in MSK practice informed by the disciplines of OT and PT. The purpose of the study was to describe the type of research conducted to investigate the relationship between TA and rehabilitation of MSK conditions. Specifically, this review intends to describe to what extent the literature has theoretical underpinnings or a common understanding of what constitutes TA, has addressed the relationship between TA and adherence to treatment or treatment outcomes and how TA is measured.

Methods

This scoping review was informed by Levac et al. [33] and Arksey and O’Malley [34] methodology. Scoping reviews are used to answer broad questions, synthesise information from a heterogeneous data pool or assess whether the literature is amenable to systematic review [35, 36]. This review employed the five-stage framework as outlined by Arksey and O’Malley: 1) identifying the research question, 2) identifying relevant studies, 3) selecting the studies, 4) charting the data (data extraction), and 5) collating, summarising and reporting the results. Reporting the results includes the use of numerical summaries that describe study characteristics. Levac et al’s recommendations focus on clarifying and enhancing each stage of the framework as follows: (stage 1) expounding and linking the research purpose and question; (stage 2) harmonizing feasibility, breadth and comprehensiveness of the scoping process; (stages 3 and 4) using an iterative team approach for study selection and data extraction; (stage 5) integrating a numerical summary and qualitative thematic analysis, reporting results, and considering the implications of findings to policy, practice, or research; and (stage 6) incorporating a knowledge translation strategy though consultation with stakeholders.

Identifying relevant articles

In consultation with a librarian, a search strategy was developed to identify publications addressing TA. The evidence was searched using electronic databases, references lists, and by hand searching key journals. Literature search for physiotherapy or occupational therapy were completed to identify experimental studies that discussed or investigated the relationship between TA and adherence to exercise in the management of adults with MSK conditions. Using a combination of key words and medical subject (MeSH) terms (Table 1) related to TA, eight databases were searched: MEDLINE, PsychINFO, Embase, AMED, SportDISCUS, REHABDATA, PEDro and OTseeker. The search strategy was customized to each database. A manual search of the reference lists of identified articles was also conducted. A sample search strategy for the search is outlined in Table 1. All searches were performed between July 2015 and September 2015 using a combination of search terms (Table 1). An updated search was done in January 2017.

Table 1 Sample search Terms and Search Strategy
Full size table

Study selection

After the initial search was completed abstracts and titles from the database searches were screened for relevance by the first reviewer (F.B.) and selected if they met the following criteria: [1] quantitative, qualitative or mixed methods data in a peer-reviewed journal, [2] systematic reviews and meta-synthesis, [3] experiences and/or perspectives of the therapist, observer and/or patient, [4] highlight TA or an aspect of TA as the main conceptual focus of the article, [5] findings relevant to MSK rehabilitation from adult population, [6] English language articles. Studies were excluded if they reported mixed population data without clearly highlighting MSK conditions or involved surgical and medical interventions alone. All references were imported to EndNote X7 software© and all duplicates deleted. Full texts of potentially relevant articles were retrieved and scrutinized by the first author (F.B.) and second author (J.M.) for consensus before final inclusion in the study.

Data abstraction

Data related to TA were extracted from articles meeting the inclusion criteria by the lead author (FB) and reviewed by a second author (JM). Each article was first categorized based on study methods (quantitative, qualitative, mixed-methods, systematic review or meta-synthesis, narrative reviews or discussion paper) and level of care (primary, secondary, rehabilitation, private, community, home care, long term care). The following information was extracted and synthesised in summary format from the articles: authorship, publication year, country, setting, discipline, aims, design, participants, themes, and findings. Secondary data extracted included information on the conceptualization of TA; frameworks, theories or models, relationship between TA and adherence to exercise, measures of TA and participant perspectives on TA themes.

Analysis

Descriptive statistics were calculated to summarize the data. Frequencies and percentages were used to describe nominal data (study characteristics, themes, measures). A narrative synthesis approach [37, 38] facilitated the mapping of the core themes of TA that emerged from this review. We used a thematic analysis to gather information and identify all TA themes. Inductive analysis was adapted and followed 3 stages: 1) extracting findings and coding findings for each article, 2) grouping of findings (codes) according to the topical similarity to determine whether findings confirm, extend, or refute each other; and 3) abstraction of findings (analyse grouped findings to identify additional patterns, overlaps, comparisons, and redundancies to form a set of concise statements that capture the content of findings).

Results

The initial literature search of the TA literature resulted in an identification of 2795 titles. Of these titles, 691 were duplicates, 189 were book titles, 24 were non-English language articles and 482 did include an exercise or physical activity component. An additional 1279 were removed because they did not meet the eligibility criteria: letters, commentaries, editorials or conference abstracts (n = 426), titles from nursing (n = 160) and medicine (n = 263) and titles from psychotherapy (n = 430) literature. After final abstract and full text screening, 130 articles were selected as listed in (1 s–130 s) (See Additional file 1). The flow of articles through the review is shown in Fig. 1.

Fig. 1
figure1

Search and screen of articles flow chart

Full size image

Study characteristics

Participants included 7,018 patients, 1225 OTs and 994 PTs. By country, most of the publications originated from the USA (23%) or Australia (16.9%). By continent, Europe accounted for 44.6% of the studies as compared to 30% from North America and 23% from Australasia. There was only one study published in South America, only 2 studies from Asia and none from Africa. The earliest study dates to a 1981 with an increase in publications (n = 46) between 2011 and 2016 and most of the studies originated from the PT discipline as depicted in Fig. 2. The most reported settings were primary care (34%) and outpatients (25%). Spinal (25%) and degenerative joint (21%) conditions were the most reported health condition studied. In some cases (19%) the details of the condition treated were not reported. All but two of the experimental studies were from the PT literature (Additional file 1).

Fig. 2
figure2

Number of studies published in each 5-year period from 1981 to 2016

Full size image

Study design

Overall, there were more quantitative (n = 43, 33%) than qualitative studies (n = 51, 39%) as shown in Table 2. Mixed method studies accounted for 7% and the remainder were narrative reviews and opinion papers (23%). Amongst PT studies there were similar amounts of quantitative and qualitative research; 77% versus 80% respectively. Experimental studies represented 4.6% of the eligible studies as compared to correlational (9.2%) and descriptive (17%) studies. Survey studies represented 9.2% and measurement studies was 5.3%. There was varied qualitative study methodologies including grounded theory (10%), phenomenology (16.9%), narratives (6.1%), ethnography (1.5%), case studies (2.3%), nominal group technique (1.5%) and symbolic interactionism (0.7%). Semi-structured interviews (17.6%) and focus groups (7.7%) were the most reported data collection techniques.

Table 2 Study characteristics
Full size table

Conceptualization of therapeutic alliance

Several theories, models and frameworks related to TA were identified from 16 studies in the literature as shown in Table 3. There were 18 models represented in the literature including model of human occupation, health belief model, health locus of control, ecological model of adherence, transtheoretical model, self-regulation model, tripartite efficacy model, process model of collaboration, biopsychosocial model, consumer model, model of empathic understanding, resource conservation model, self-management model, model of helping encounter, Information-Motivation-Behavioral model, Gelso and Cater model, model of physiotherapist-patient interactions and independent living model. Eleven frameworks were reported and represented concepts from health behaviour change, compliance, illness perception, self-efficacy, patient beliefs, patient-centred care, satisfaction, helping, and partnership (Table 3). Three theories were linked to TA (Table 3) including self-determination theory (SDT), self-efficacy theory and social learning theory. SDT was the only theory with reported empirical evidence of effectiveness for promoting therapists’ supportive behavior during clinical practice in MSK PT practice [63].

Table 3 Conceptualization of therapeutic alliance
Full size table

Therapeutic alliance themes

The initial coding of the 130 eligible articles resulted in 44 codes, which were reduced and organized into 8 themes: congruence, connectedness, communication, expectation, influencing factors, individualized therapy, partnership, and roles and responsibilities and described in (See Additional file 2). Table 4 shows that agreement on goals (32%) was the most reported aspect of congruence. Friendliness (21%) was the most reported characteristic of connectedness followed by a perception of a good relationship and genuine interest or concern at 14%. Clarity of information (26%), active listening (39%) and nonverbal skills (24%) were the most represented characteristics of communication. Expectation was approximately equally represented with regards to both therapy (25%) and outcome (22%). External factors (17%) and therapist skill and competence (30%) were the most identified influencing factors. Patient life experiences (11%) and willingness to engage (11%) were the most reported patient prerequisite. Being responsive and holistic practice were important to individualized therapy (14.6%). Mutual understanding (23%) and active involvement (28%) were the most important partnership characteristics. Therapist ability to activate patient resources (13.1%) and motivating or encouraging patients (26%) were the most reported role and responsibility.

Table 4 Core Themes of Therapeutic alliance
Full size table

Therapeutic alliance outcome measures

Twenty-seven measures were identified in 37 studies as shown in Table 5. Six studies were from OT literature and 4 involved both OT and PT participants. Psychometric properties were reported for 21 measures (77%) from 28 studies. The Working Alliance Inventory (WAI) [39, 40] was the most utilized measure (5 studies) among available studies. Other alliance-type measures (3 studies) were the working subscale of the Pain Rehabilitation Expectation Scale (PRES) [41], the Helping Alliance Questionnaire (HAq) [42], communication preferences of patients with chronic illness questionnaire [43] and revised version of the Helping alliance questionnaire [44]. Four measures from 4 studies focused on satisfaction; Medical Interview Satisfaction Scale (MISS) [45], Health Care Satisfaction questionnaire [46], MedRisk [47] and Physiotherapy Outpatient Satisfaction questionnaire [48]. Three measures that focused on empathy: Consultation and Relational Empathy scale [49], Barett-Lennard Relationship scale [50] and Truax Accurate Empathy Scale [51]. One measure focused on communication; the Medical Communication Behaviour System [52]. Therapist support was the focus of 2 measures; the Health Care Climate Questionnaire (HCCQ) [53] (3 studies) and the Relationship Assessment Scale (RAS) (1 study). The Clinical Assessment of Modes [54] was used to assess therapeutic use of self in one study from OT discipline. The Patients’ Experiences in Postacute Outpatient Physical Therapy Settings [55] was the only measure developed specifically for a rehabilitation setting. The information about and content of each TA measure was also coded against the themes of TA identified in literature and the PRES [41] was the only measure reflecting all the eight TA themes. Ten measures (37%) reflected at least 5 TA themes.

Table 5 Measures of Therapeutic Alliance
Full size table

Therapeutic alliance and treatment adherence

Twenty-six articles examined the relationship between TA and treatment adherence as summarized in Table 6. More quantitative studies (50%) examined adherence compared to qualitative (42%) and mixed method studies (7.6%). The WAI-12 [39], PRES [41], MISS [45] and HCCQ [53] were the validated TA measures reported in the literature when investigating the relationship between TA and adherence. The Sports Injury Rehabilitation Adherence Scale (SIRAS) [56] was the most reported exercise adherence measure. Two studies (7.6%) reported no change in adherence with enhanced TA compared to 3 studies (11.5%) where improvement in adherence was reported. Improved patient-therapist relationship accounted for 18–23% of the variance in patient adherence. Patients and therapists acknowledge that effective communication improved adherence. Therapists (PT) reported that pleasing the therapist, activating patient resources and connectedness, faith in the therapist and shared goals are reasons for improved adherence. In, one study patients reported enhanced TA was not important for improved adherence. However, in other studies (53.8%) patients, TA characteristics predictive of exercise adherence included agreement on goals and tasks, clear communication, sense of connectedness, positive feedback, boosted, genuine interest, individualized care, trust in therapist and feeling empowered are important for developing exercise adherence behavior. Moderators are “pre-randomized” baseline characteristics that interact with treatment to influence the direction or magnitude of outcomes [57]. Levy et al. [58] showed that age moderated the relationship between TA and clinic-based adherence with younger and more autonomous individuals being more adherent to treatment. Predictors are baseline characteristics that predict response in both treatment and control groups [59]. Mediators are variables responsible for all or parts of the effects of a treatment or outcomes. They change during treatment, are associated with treatment and must influence outcome to be considered a mediator [57]. In this scoping review, prioritization of goals, autonomy support and motivation mediated the relationship between TA and adherence.

Table 6 Relationship between therapeutic alliance and adherence to treatment
Full size table

Participant perspectives on therapeutic alliance

To better delineate the phenomenon of TA, we analyzed the perspectives of TA among patients, therapists or observers as shown in Fig. 3 in the interventional and non-interventional studies. Observers were mostly researchers or other therapists not directly involved in patient care. Overall, most of the views shared were from patients. Twenty articles (15.3%) represented views on congruence out of which 9 reflected patient’s perspectives. Thirty-five articles (26%) represented views on communication with patient perspectives alone accounting for 65% of the articles. Sixteen articles (12%) reported perspectives on expectations with patient views representing 75%. Eleven articles (8%) represented views on individualized therapy out of which 7 studies portrayed patient perspectives. Thirty-nine articles (30%) represented views on partnership with patients’ perspective accounting for nearly half of all the articles. Fifty-two articles (40%) represented views on connectedness of which 28 articles represented patient views alone. Thirty-three articles (25%) identified the therapist role and responsibilities as key determinants of TA with patient perspective accounting for more than half of the data. Fifty-one articles (39%) represented participant views on influencing factors; patient prerequisites (37%), therapist prerequisites (35%) and external factors (27%). Among the 8 themes, communication, interpersonal aspects, partnership and roles and responsibilities were regarded as the most important determinants of TA according to patients. A breakdown of the code (subcategory) under each theme is highlighted in (See Additional file 3).

Fig. 3
figure3

Perspectives of participants (patients, therapists, observers) on each theme of therapeutic alliance

Full size image

Secondary synthesis of systematic reviews

There were 3 articles in the PT literature focused on reviewing the evidence on TA in this scoping review. There were 2 systematic reviews with a total of 11 studies. Besley et al. [60] examined a wide range of PT clinical practice but included 4 MSK studies and reported that there were 8 core components of TA including patient expectations, personalized therapy, partnership, therapist roles and responsibilities, congruence, communication, relational aspects, and influencing factors. The authors reported that the WAI [39], [40] and HAq [42] measures of alliance did not adequately address all the components of TA. The study by Hall et al. [61] included 6 MSK studies and reported 3 key components of TA including agreement in goals, agreement on interventions and affective bond. Three outcome measures of TA; WAI-12 [39], WAI-36 [40] and MedRisk [47] were used in the MSK studies. Hall et al. [61] reported positive associations between TA and global perceived effect, change in pain, physical function, patient satisfaction, depression and general health status. In a recent meta-synthesis of qualitative studies, O’Keeffe et al. [62] identified 4 themes of TA from 12 codes across 13 MSK studies. These included physical therapist interpersonal and communication skills (listening, empathy, friendliness, encouragement, confidence, nonverbal communication), physical therapist practical skills (patient education, physical therapist expertise and training), individualized patient-centred care (individualized, taking patient preferences and opinion into consideration) and organizational and environmental factors (time, flexibility with patient appointment and treatment).

Discussion

This study represents a mapping of the breadth of the evidence for TA in PT and OT MSK practice and identified eight themes of therapeutic alliance valued by patients across different MSK settings and populations. Kayes and McPherson [63] identified that TA is increasingly regarded as an important determinant of engagement in physical rehabilitation but several gaps exists which hinder understanding of TA. This scoping review is an attempt to provide a foundation for future research by collating and summarizing the theoretical and empirical evidence concerning the construct “therapeutic alliance”, how it is currently measured and its relationship to adherence in MSK practice. This cataloguing of the evidence will assist in defining research questions and applying methodology that enables quality appraisal which is not a component of scoping review methodology [33]. The accord around characteristics of partnership, personalized therapy, roles and responsibilities, congruence, communication, expectations and influencers across PT and OT literature for MSK conditions identified in this scoping review provides further credence that these key themes should be included and evaluated in future studies or in clinical training. The synthesis findings mirror those of the systematic reviews by Besley et a [60] exploring TA in PT literature but this current study further expanded the key qualities linked to each theme. For example, our findings revealed several new subcategories such as humour and emotional intelligence (therapist prerequisites), appreciation, honesty (connectedness), clarity of information and feedback (communication), support and follow up (roles and responsibilities).

Various models and frameworks with diverse origins have been introduced to explain TA in PT and OT literature. The productive partnership framework [64] is based on power balance, the process model for patient-practitioner collaboration is based on shared-decision making [65], effect model of empathic communication [66] is based on connectedness and tripartite efficacy framework [67] is based on self-efficacy. Moreover, most of this conceptualization are yet to be empirically tested in the MSK population. The tripartite efficacy framework [67] opines that patients and therapists develop a “tripartite” network of efficacy beliefs. Although, the framework explains the motivational and relational processes for improving TA between patient and therapist during therapy encounters, it remains untested in MSK PT practice. The models of TA also had diverse origins ranging from traditional healthcare quality principles such as patient-centred care [68, 69] and important healthcare outcomes such as patient satisfaction [70] to modern models of emotion management such as emotional intelligence [71, 72]. This heterogeneity limits the application of this conceptualizations to broad MSK settings and conditions.

The construct of TA proposed by Bordin [8] is steeped in psychotherapy [73, 74] and viewed as a “pan-theoretical” concept of TA due to its applicability to many therapeutic approaches [75]. The question remains as to whether Bordin’s construct of TA is truly transferable to MSK rehabilitation. Findings from this scoping review highlights the importance of other constructs such as external influencing factors in establishing patient-therapist relationship in MSK practice. Praestegaard and Gard [67] reported that patients in private PT practice were not open to questions about their lived lives and therapists expressed difficulty in gaining important knowledge about their meaningful lives due to the impact of organizational factors such as available treatment time and design of treatment areas. Besley et al. [60] and O’Keefe et al. [61] also identified the environment as a significant influence on TA in the studies on MSK PT practice. Individuals with more adaptive styles and well developed social skills may form better alliances with their therapists and have better prognoses according to Del Re et al. [76]. In such instances, it is unclear whether the alliance-outcome relationship is influenced more by the patient’s characteristics or something offered by the therapist. Furthermore, the differences in therapist skills and competencies between psychotherapy and physical rehabilitation professionals may affect how TA works in practice. For example, the application of electrophysical agents, manual therapy, exercise and physical activity is commonly associated with therapeutic procedures in PT and OT practice. Fuentes et al. [21] focused on empathetic communication and reported that the effect of TA on pain modulation in patients with chronic low back pain was enhanced when applied with active interferential current and their interaction may produce clinical benefits.

There was also a dearth of information on how the themes identified could be developed as soft skills that are practical for therapists to learn and adapt in clinical practice. Murray et al. [77] showed that physiotherapist training using self-determination theory based communication skills training improved perception of autonomous support among patients with low back pain. Similarly, the study by Fuentes et al. [21] highlighted how physiotherapist communication skills training based on empathy and roles and responsibilities can be used to enhance the patient-therapist relationship. In OT literature, the Intentional Relationship Model [78] was developed to increase occupational therapist’s capacity for developing skills in therapeutic use of self or TA using self-reflection guide on therapeutic modes. Taylor et al. [79] examined occupational therapists use of self according to the IRM when interacting with anxious or depressed patients.

Several of the TA measures identified are yet to be validated in patients with MSK conditions and some require further development before adaptation to MSK practice. Due to the complex nature of TA, available outcome measures were based on diverse TA themes. Only one measure covered all the themes of TA reported in this scoping review; the PRES [41]. The WAI [39, 40] was the most reported measure of TA and developed using Bordin’s model [8]. However, Hall et al. [80] showed that measures developed from psychotherapy such as the WAI [39, 40] exhibit a ceiling effect and require re-contextualization for suitable use in MSK practice. Several measures identified also had no evidence of psychometric evaluation which further limits applicability in MSK practice. Furthermore, some of the studies reviewed used outcome measures based on the construct of satisfaction [29, 81,82,83] to evaluate TA. It is unclear if these measures were assessing TA or satisfaction or both. A combination of measures may provide a more exact assessment of TA.

Our synthesis of the evidence on the impact of TA on adherence in MSK practice also focused on the relationship between TA and exercise adherence based on broad findings showing correlation between TA and adherence in several disciplines including medicine [84], psychotherapy [85] and physical rehabilitation [61]. However, the findings from the systematic review on adherence by Hall et al. [61] only reported a correlation between TA and cardiac and/or neurological rehabilitation. This scoping review showed that TA exerts diverse influence on treatment adherence as its predictor, moderator and mediator mostly in PT studies. Further studies are required to appraise the evidence in OT discipline. It is pertinent to elucidate moderators and mediators of RCTs because studying experimental intervention effects is unable to explain the mechanisms of intervention success or identify participants who benefit most from an intervention [86]. Such studies provide a key step to guiding interpretation of trials and design of future interventions. TA was also correlated with improved pain, reduced disability, and higher satisfaction in MSK PT practice [21]. TA was found to be more strongly associated with disability and function compared with pain outcomes in chronic LBP [87]. In addition, an identifiable “practitioner effect” was documented in MSK pain intervention trials [87]. Clearly, the context in which PT interventions are offered has the potential to dramatically improve therapeutic effects [21]. Unfortunately, the adherence literature is plagued by lack of robust outcome measures [88, 89] and calls to question the impact of TA on adherence in MSK practice.

Study limitations

This scoping review utilised rigorous and transparent methods throughout the entire process. To ensure a broad search of the literature, the search strategy included nine electronic bibliographic databases, the reference list of thirty five different articles and ten relevant organizations. The relevant screening and data characterization forms were screened by two reviewers as needed prior to implementation. The greatest challenge in conducting a review in a broad and complex field like therapeutic alliance is not data collection but summarizing the data. Current views on scoping methodology advocate engaging a large inter-professional team at every stage of process to improve the quality of the decision making [35]. Unfortunately, due to time and financial constraints the authors were not able to build such a team for this review. Nonetheless, the authors were careful to use an iterative approach to clarify concepts and revising questions and themes with increased familiarity with the literature. Due to the language limit, we could have excluded studies that have direct relevance to the purpose of this review.

Research opportunities and recommendations

Future research needs to focus on a clear conceptualization of TA in MSK rehabilitation with clear definition of terms in view of the broad complexity of TA. This approach has been proposed for other complex aspects of health such as quality of care [90]. Similarly, TA measures used in MSK PT and OT practice and the construct they assess need to be well-defined with evidence of psychometric properties. Furthermore, studies are required to increase therapist capacity at developing soft skills for enhancing TA in clinical practice. If these issues remain unaddressed, patients may continue to struggle to meet their rehabilitation potentials [63].

Conclusions

This scoping review maps out the available literature on TA conceptualization, measures and insights into professionals’ and patients’ experiences and perceptions of TA in MSK rehabilitation. It appears that enhanced TA has some beneficial effects on treatment adherence. The limitations identified in existing literature provides a roadmap for designing future studies aimed at addressing key gaps identified in the TA literature. We propose further research focused on developing a physical rehabilitation themed framework of TA, psychometric testing of existing TA measures and designing trials to investigate the effect of therapist TA training on long term treatment outcomes and treatment adherence in MSK practice.

Change history

  • 12 December 2017

    Following publication of the original article [1], an erratum was initiated in order to include supplementary material that was not updated and not included during the online submission of the authors’ corrections. The additional corrections, included below, are to Appendix II.

    The original article has been corrected.

References

  1. 1.

    Fransen M, McConnell S, Molina-Hernandez G, Reichenbach S. Does land-based exercise reduce pain and disability associated with hip osteoarthritis? A meta-analysis of randomized controlled trials. Osteoarthritis Cartilage. 2010;18:613–20.

  2. 2.

    Keller A, Hayden J, Bombardier C, Van Tulder M. Effect sizes of non-surgical treatments of non-specific low-back pain. Eur Spine J. 2007;16:1776–88.

  3. 3.

    Menta R, Randhawa K, Cote P, Wong JJ, Yu H, Sutton D, Varatharajan S, et al. The effectiveness of exercise for the management of musculoskeletal disorders and injuries of the elbow, forearm, wrist and hand: a systematic review by the Ontario protocol for traffic injury management (OPTIMA) collaboration. J Manip Physiol Therap. 2015;38:507–20.

  4. 4.

    Joyce AS, Ogrodniczuk JS, Piper WE, McCallum M. The alliance as mediator of expectancy effects in short-term individual therapy. J Consult Clin Psychol. 2003;71:672–79.

  5. 5.

    Cole MB, McLean V. Therapeutic relationship re-defined. Occup Ther Mental Health. 2003;19:33–56.

  6. 6.

    Ardito RB, Rabellino D. Therapeutic alliance and outcome of psychotherapy: historical excursus, measurements, and prospects for research. Frontiers Psychol. 2011;2:1–11.

  7. 7.

    Graves TA, Tabri N, Thompson-Brenner H, Franko DL, Eddy KT, Bourion-Bedes S, Bron A, et al. A meta-analysis of the relation between therapeutic alliance and treatment outcome in eating disorders. Int J Eat Disord. 2017;50:323–40.

  8. 8.

    Bordin ES. The generalizability of the psychoanalytic concept of the working alliance. Psychother: Theory, Res Pract. 1979;16:252–60.

  9. 9.

    Horvath AO, Del Re A, Fluckiger C, Symonds D. Alliance in individual psychotherapy. Psychotherapy. 2011;48:9.

  10. 10.

    Martin DJ, Garske JP, Davis MK. Relation of the therapeutic alliance with outcome and other variables: a meta-analytic review. J Consult Clin Psychol. 2000;68:438–50.

  11. 11.

    Corso KA, Bryan CJ, Corso ML, Kanzler KE, Houghton DC, Ray-Sannerud B, et al. Therapeutic alliance and treatment outcome in the primary care behavioural health model. Fam, Sys & Health. 2012;30:87–100.

  12. 12.

    Byrne M, Deane FP. Enhancing patient adherence: outcomes of medication alliance training on the therapeutic alliance, insight, adherence, and psychopathology with mental health patients. Int J Men Health Nurs. 2011;20:284–95.

  13. 13.

    Jones A, Vallis M, Cooke D, Pouwer F. Working together to promote diabetes control. A practical guide for diabetes health care providers in establishing a working alliance to achieve self-management support. J Diabetes Res. 2016;2016:2830910.

  14. 14.

    Bennett JK, Fuertes JN, Keitel M, Phillips R. The role of patient attachment and working alliance on patient adherence, satisfaction, and health-related quality of life in lupus treatment. Patient Educ Couns. 2011;85:53–9.

  15. 15.

    Hovey R, Massfeller H. Exploring the relational aspects of patient and doctor communication. J Med Persp. 2012;10:81–6.

  16. 16.

    Fernandez JM, Cenador MB, Manuel Lopez Millan J, Mendez JA, Ledesma MJ. Use of information and communication technologies in clinical practice related for the treatment of pain. Influence on the professional activity and the doctor patient relationship. J Med Syst. 2017;41:77.

  17. 17.

    Martinez KA, Resnicow K, Williams GC, Silva M, Abrahamse P, Shumway DA, Wallner LP, Katz SJ, Hawley ST. Does physician communication style impact patient report decision quality for breasts cancer treatment? Patient Educ Couns. 2016;99:1947–54.

  18. 18.

    Lawton M, Haddock G, Conroy P, Sage K. Therapeutic alliance in stroke rehabilitation: a meta-ethnography. Arch Phys Med Rehabil. 2016;97:1979–93.

  19. 19.

    Burns JW, Evon D. Common and specific process factors in cardiac rehabilitation: independent and interactive effects of the working alliance and self-efficacy. Health Psychol. 2007;26:684–92.

  20. 20.

    Ferreira PH, Ferreira ML, Maher CG, et al. The therapeutic alliance between physiotherapists and patients predicts outcome in chronic low back pain. Phys Ther. 2013;93:470–78.

  21. 21.

    Fuentes J, Armijio-Olivo S, Funabashi M, Miciak M, Dick B, Warren S, Rashiq S, Magee DJ, Gross DP. Enhanced therapeutic alliance modulates pain intensity and muscle pain sensitivity in patients with chronic low back pain: an experimental controlled study. Phys Ther. 2014;94:477–89.

  22. 22.

    Crepeau EB, Garren KR. I looked to her as a guide: the therapeutic relationship in hand therapy. Disabil Rehabil. 2011;33:872–81.

  23. 23.

    Barber JP. Toward a working through of some core conflicts in psychotherapy research. Psychother Res. 2009;19:1–12.

  24. 24.

    Goldsmith LP, Dunn G, Bentall RP, Lewis SW, Wearden AJ. Therapist effects and the impact of early therapeutic alliance on symptomatic outcome in chronic fatigue syndrome. PLoS One. 2015;12, e0144623.

  25. 25.

    Bachelor A. Clients’ and therapists’ views of the therapeutic alliance: similarities, differences and the relationship to therapy outcome. Clin Psychol, Psycother. 2013;20:118–35.

  26. 26.

    Foster NE, Dziedzic KS, van der Windt DAWM, Fritz JM, Hay EM. Research priorities for non-pharmacological therapies for common musculoskeletal problems: nationally and internationally agreed recommendations. BMC Msk Dis. 2009;10:3.

  27. 27.

    Rankin G, Rushton A, Olver P, Moore A. Chartered Society of Physiotherapy’s identification of national research priorities for physiotherapy using a modified Delphi technique. Physiother. 2012;98:260–72.

  28. 28.

    Gutman SA. AJOT Publication Priorities. J Occup Ther Am. 2010;64:679–81.

  29. 29.

    Wright BJ, Galtieri NJ, Fell M. Non-adherence to prescribed home rehabilitation exercises for musculoskeletal injuries: the role of the patient-practitioner relationship. J Rehabil Med. 2013;46:153–58.

  30. 30.

    Coutu M-F, Baril R, Durand M-J, Cote D, Cadieux G. Clinician-Patient agreement about the work disability problem of patients having persistent pain: why it matters. J Occup Rehabil. 2013;2382–92.

  31. 31.

    Green J, Dunn G. Using intervention trials in developmental psychiatry to illuminate basic science. The Br J Psychiat. 2008;192:323–25.

  32. 32.

    McLean S, Klaber Moffett J, Sharp D, Gardiner E. A randomized controlled trial comparing graded exercise treatment and usual physiotherapy for patients with non-specific neck pain (The GET UP neck pain trial). Man Ther. 2013;18:199–205.

  33. 33.

    Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Imp Science. 2010;5:69.

  34. 34.

    Arksey H, O’Malley L. Scoping studies: towards a methodological framework. J Sociol Res Method. 2005;8:19–32.

  35. 35.

    Daudt HM, Van M, Scott SJ. Enhancing the scoping study methodology: a large, inter-professional team’s experience with Arksey and O’Malley’s framework. BMJ Med Res Method. 2013;13:48.

  36. 36.

    Tricco AC, Lillie E, Zarin W, O’Brien K, Colquhoun H, Kastner M, Levac D, Ng C, Sharpe JP, Wilson K, Kenny M, Warren R, Wilson C, Stelfox HT, Straus SE. A scoping review on the conduct and reporting o scoping reviews. BMC Med Res Method. 2016;16:15.

  37. 37.

    Rodgers M, Sowden A, Petticrew M, Arai L, Roberts H, Britten N, Popay J. Testing methodological guidance on the conduct of narrative synthesis in systematic reviews. Evaluation. 2009;15:47–71.

  38. 38.

    Arai L, Britten N, Popay J, Roberts H, Petticrew M, Rodgers M, Sowden A. Testing methodological developments in the conduct of narrative synthesis: a demonstration review of research on the implementation of smoke alarm interventions. The Policy Press. 2007;3:361–83.

  39. 39.

    Horvath AO, Greenberg LS. Development and validation of the Working Alliance Inventory. J Counsel Psychol. 1989;6:223–33.

  40. 40.

    Hatcher RL, Gillaspy JA. Development and validation of a revised short version of the working alliance inventory. Psychothe Res. 2006;16:12–25.

  41. 41.

    Cheing GLY, Lai AKM, Vong SKS, Chan FH. Factorial structure of the pain rehabilitation expectations scale: a preliminary study. Int J Rehab Res. 2010;38:88–94.

  42. 42.

    De Weert-Van Oene GH, De Jong CAJ, Jorg F, Schrijvers GJP. The Helping Alliance Questionnaire: Psychometric properties in patients with substance dependence. Substance Use & Misuse. 1999;34:1549–69.

  43. 43.

    Farin E, Gramm L, Kosiol D. Development of a questionnaire to assess communication preferences of patients with chronic illness. Patient Education and Counselling. 2011;82:81–8.

  44. 44.

    Luborsky L, Barber JP, Siqueland L, Johnson S, Najavits LM, Frank A. The revised helping alliance questionnaire (HAq-II): psychometric properties. J Psychother Pract Res. 1996;5:260–71.

  45. 45.

    Wolf MH, Putnam SM, James SA, Stiles WB. The medical interview satisfaction scale: Development of a scale to measure patient perceptions of physician behaviour. J Behav Med. 1978;1:391–401.

  46. 46.

    Gagnon M, Hebert R, Dube M, Dubois MF. Development and validation of the Healthcare Satisfaction Questionnaire (HCSQ) in elders. J Nurs Meas. 2006;14:190–204.

  47. 47.

    Beattie P, Turner C, Dowda M, Michener L, Nelson R. The MedRisk Instrument for measuring patient satisfaction with physical therapy care: a psychometric analysis. J Orthop Sports Phys Ther. 2005;35:24–32.

  48. 48.

    Hills R, Kitchen S. Satisfaction with outpatient physiotherapy: A survey comparing the views of patients with acute and chronic musculoskeletal conditions. Physiothe Theory Pract. 2007;23:21–36.

  49. 49.

    Mercer SW, McConnachie A, Maxwell M, Heaney D, Watt GC. Relevance and practical use of the Consultation and Relational Empathy (CARE) Measure in general practice. Fam Pract. 2005;22:328–34.

  50. 50.

    Ganley RM. The Barrett-Lennard Relationship Inventory (BLRI): current and potential uses with family systems. Fam Process. 1989;28:107–15.

  51. 51.

    Truax CB, Wargo DG, Frank JD, Imber SD, Battle CC, Hoehn-Saric R, Stone AR. The therapist’s contribution to accurate empathy, non-possessive warmth, and genuineness in psychotherapy. J Consult Psychol. 1966;297–99.

  52. 52.

    Wolraich M, Albanese M, Reiter-Thayer S, Barrett W. Factors affecting physician communication and parent-physician dialogues. J Med Educ. 1982;52:621–5.

  53. 53.

    Williams GC, Grow VM, Freedman ZR, Ryan RM, Deci EL. Motivational predictors of weight loss and weight-loss maintenance. J Pers Soc Psychol. 1996;70:115–26.

  54. 54.

    Taylor RR, Lee SW, Kielhofner G. Practitioners’ use of interpersonal modes within the therapeutic relationship: Results of a nationwide survey. OTJR: Occup, Part and Health. 2011;31:6–14.

  55. 55.

    Medina-Mirapeix F, Del Bano-Aledo M, Martinez-Paya JJ, Lillo-Navarro MC, Escolar-Reina P. Development and validity of the questionnaire of patients’ experiences in post-acute outpatient physical therapy settings. Phys Ther. 2015;95:767–77.

  56. 56.

    Kolt GS, Brewer BW, Pizzari T, Schoo AMM, Garrett N. The Sport Injury Rehabilitation Adherence Scale: a reliable scale for use in clinical physiotherapy. Physiothe. 2007;93:17–22.

  57. 57.

    Turner JA, Holtzman S, Mancl L. Moderators, moderators, and predictors of therapeutic change in cognitive-behavioral therapy for chronic pain. Pain. 2007;127:276–86.

  58. 58.

    Levy AR, Polman RCJ, Borkoles E. Examining the relationship between perceived autonomy support and age in the context of rehabilitation adherence in sport. Rehabil Psychol. 2008;53:224–30.

  59. 59.

    Kazdin AE. Mediators and mechanisms of change in psychotherapy research. Annu Rev Clin Psychol. 2007;3:1–27.

  60. 60.

    Besley J, Kayes NM, McPherson KM. Assessing therapeutic relationships in Physiotherapy: Literature review. New Z J of Physio. 2010;39:81–91.

  61. 61.

    Hall AM, Ferreira PH, Maher CG, Latimer J, Ferreira ML. The influence of the therapist-patient relationship on treatment outcome in physical rehabilitation: a systematic review. Phys Ther. 2010;90:1099–110.

  62. 62.

    O’Keefe M, Cullinane P, Hurley J, Leahy I, Bunzli S, O’Sullivan PB, O’Sullivan K. What influences patient-therapist interactions in musculoskeletal physical therapy? Qualitative systematic review and meta-synthesis. Phys Ther. 2016;96:609–22.

  63. 63.

    Kayes NM, McPherson KM. Human technologies in rehabilitation: Who and how we are with our clients. Disabil Rehabil. 2012;34:1907–11.

  64. 64.

    Verkaaik J, Sinott AK, Cassidy B, Freeman C, Kunowski T. The productive partnerships framework: harnessing health consumer knowledge and autonomy to create and predict successful rehabilitation outcomes. Disabil Rehabil. 2010;32:978–85.

  65. 65.

    Jensen GM, Lorish CD. Promoting patient cooperation with exercise programs; linking research, theory and practice. Arthritis Care & Res. 1994;7:181–89.

  66. 66.

    Neumann M, Bensing J, Merser S, Ernstmann N, Ommen O, Pfaff H. Analyzing the “nature” and “specific effectiveness” of clinical empathy: a theoretical overview and contribution towards a theory-based research agenda. Patient Educ Coun. 2009;24:339–46.

  67. 67.

    Jackson B, Dimmock JA, Taylor IM, Hagger MS. The Tripartite Efficacy Framework in client-therapist rehabilitation interactions: Implications for relationship quality and client engagement. Rehab Psychol. 2012;57:308–19.

  68. 68.

    Kidd MO, Bond CH, Bell ML. Patients’ perspectives of patient-centredness as important in musculoskeletal physiotherapy interactions: a qualitative study. Physiother. 2011;97:154–62.

  69. 69.

    Constand MK, MacDermid JC, Dal Bell-Haas V, Law M. scoping review of patient-centred care approached in healthcare. BMC Health Serv Res. 2014;14:271.

  70. 70.

    Hush JM, Kirsten C, Martin M. Patient satisfaction with musculoskeletal physical therapy care: a systematic review. Phys Ther. 2011;91:25–36.

  71. 71.

    McKenna J. Emotional intelligence training in adjustment to physical disability and illness. Int J Ther Rehabil. 2007;14:551–56.

  72. 72.

    Mayer JD, Cobb CD. Educational policy on emotional intelligence – does it make sense? Educ Psychol Rev. 2000;12:163–83.

  73. 73.

    Arnd-Caddigan M. The therapeutic alliance: implications for therapeutic process and therapeutic goals. J Contemp Psychother. 2012;42:77–85.

  74. 74.

    Horvath AO, Symonds BD. Relation between working alliance and outcome in psychotherapy–a meta analysis. J Couns Psychol. 1991;38:139–49.

  75. 75.

    Araujo AC, Filho RN, Oliviera CB, Ferreira PH, Pino RZ. Measurement properties of the Brazilian version of the Working Alliance Inventory (patient and therapist short-forms) and Session Rating Scale for low back pain. J Back Musculoskeletal Rehabil. 2017;Preprint:1-9

  76. 76.

    Del Re AC, Fluckiger C, Horvath AO, Symonds D, Wamplod BE. Therapists effects in the therapeutic alliance-outcome relationship: a restricted-maximum likelihood meta-analysis. Clin Psych Rev. 2012;32:642–9.

  77. 77.

    Murray AM, Hall AM, Williams GC, McDonough SM, Ntoumanis N, Taylor IM, Jackson B, Matthews J, Hurley DA Lonsdale C. Effect of self-determination theory-based communication skills training program on Physiotherapists’ psychological support for the patients with chronic low back pain: a randomized controlled trial. Arch Phys Med Rehabil. 2015;96:809–16.

  78. 78.

    Gorenberg MD, Taylor RR. The intentional relationship model: a framework for teaching therapeutic use of self. OT Pract. 2014;19:CE1–6.

  79. 79.

    Taylor RR, Lee SW, Kielhofner G. Practitioners’ use of interpersonal modes within the therapeutic relationship: results from a nationwide study. Occ Ther J of Res. 2010;31:6–14.

  80. 80.

    Hall AM, Ferreira ML, Clemson L, Ferreira P, Latimer J, Maher CG. Assessment of the therapeutic alliance in physical rehabilitation: a RASCH analysis. Disabil Rehabil. 2012;34:257–66.

  81. 81.

    Beattie P, Nelson R, Murphy DR. Development and preliminary validation of the MedRisk instument to measure patient satisfaction with chiropractice care. J Manipulative Physiol Ther. 2011;34:23–9.

  82. 82.

    Monnin D, Perneger TV. Scale to measure patient satisfaction with physical therapy. Phys Ther. 2007;23:21–36.

  83. 83.

    Tousignant M, Boissy P, Moffet H, Corriveau H, Cabana F, Marquis F, et al. Patients’ satisfaction of healthcare services and perception with in-home telerehabilitation and physiotherapists’ satisfaction toward technology for post-knee arthroplasty: An embedded study in a randomized trial. Telemedicine and e-Health. 2011;17:376–82.

  84. 84.

    Verheul W, Sanders A, Bensing J. The effects of physicians’ affect-oriented communication style and raising expectations on analogue patients’ anxiety, affect and expectancies. Patient Educ Couns. 2010;80:300–6.

  85. 85.

    Loeb KL, Wilson GT, Labouvie E, et al. Therapeutic alliance and treatment adherence in two interventions for bulimia nervosa: a study of process and outcome. J Consult Clin Psychol. 2005;73:1097–107.

  86. 86.

    Kraemer HC, Wilson GT, Fairburn CG, Agras WS. Mediators and moderators of treatment effects in randomized clinical trials. Arch Gen Psychiatry. 2002;59:877–83.

  87. 87.

    Lewis M, Morley S, van der Windt DAWM, Hay E, Jellema P, Dziedzic K, et al. Measuring practitioner/therapist effects in randomised trials and neck pain interventions in primary care settings. Eur J Pain. 2012;14:1033–39.

  88. 88.

    Zandwijk P, Van Koppen B, Van Mameren H, Mesters I, Winkens B, De Bie R. The accuracy of self-reported adherence to an activity advice. Eur J Physioth. 2015;17:183–91.

  89. 89.

    McLean S, Holden MA, Potia T, Gee M, Mallett R, Bhanbhro S, Parsons H, Haywood K. Quality and acceptability of measures of exercise adherence in musculoskeletal settings: a systematic review. Rheumatol. 2016. doi:10.1093/rheumatology/kew422.

  90. 90.

    Jesus TS, Hoenig H. Postacute rehabilitation quality of care: toward a shared conceptual framework. Arch Phys Med Rehab. 2015;96:960–96.

Download references

Acknowledgments

FB was supported by the Canadian Institute of Health Research (CIHR) Joint Motion Program (JuMP) during the completion of this study.

Availability of data and materials

The dataset supporting the conclusions of this articles are available from the authors on reasonable request.

Authors’ contributions

This study was completed as part of the graduate comprehensive examination work of FB who was the principal investigator in this study. All authors developed the idea for the scoping review and contributed to the concept and design. FB conducted the searching and drafted the tables and figures. All authors contributed to the drafting and reviewing of the manuscript and provided feedback process during the final production of this manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Affiliations

  1. School of rehabilitation Science, McMaster University, 1400 Main Street West, Hamilton, ON, L8S 1C7, Canada
    • Folarin Babatunde
    • , Joy MacDermid
    •  & Norma MacIntyre
  2. Hand and Upper Limb Centre, St Joseph Hospital, London, ON, Canada
    • Joy MacDermid
  3. Department of Physical Therapy, University of Western Ontario, London, ON, Canada
    • Joy MacDermid
Authors
  1. Folarin Babatunde
    View author publications
    You can also search for this author in
  2. Joy MacDermid
    View author publications
    You can also search for this author in
  3. Norma MacIntyre
    View author publications
    You can also search for this author in

Corresponding author

Correspondence to Folarin Babatunde.

Additional information

A correction to this article is available online at https://doi.org/10.1186/s12913-017-2776-0.

Additional files

Additional file 1:

Characteristics of studies included in the scoping review. Study information from each article included in the review. (DOCX 96.9 kb)

Additional file 2:

Therapeutic Alliance Terms. Description of therapeutic alliance terms detailed in included studies. (DOCX 54.2 kb)

Additional file 3:

Perspectives on therapeutic alliance from participants. This file highlights the perspective and experiences of participants on therapeutic alliance. (DOCX 605 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Babatunde, F., MacDermid, J. & MacIntyre, N. Characteristics of therapeutic alliance in musculoskeletal physiotherapy and occupational therapy practice: a scoping review of the literature. BMC Health Serv Res 17, 375 (2017). https://doi.org/10.1186/s12913-017-2311-3

Download citation

Keywords

  • Therapeutic alliance
  • Musculoskeletal
  • Physiotherapy
  • Occupational therapy
  • Service delivery

BMC Health Services Research

ISSN: 1472-6963

Contact us