Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

An investigation into perceived autonomy support, motivation and competence in chronic pain patients in Ireland: A cross-sectional study

Abstract

Autonomy supportive healthcare settings are associated with enhanced behaviour change and self-management strategies in individuals living with chronic disease. The level of autonomy support provided by healthcare professionals to individuals living with chronic pain in Ireland is unknown. A cross-sectional study was completed on participants living with chronic pain (>3 months) in Ireland. Participants (n = 389) completed an anonymous survey constructed of patient reported outcome measures relating to autonomy support (HCCQ), motivation (TSRQ), competence in physical activity (PCS), pain interference (BPI) and psychological factors (PHQ-9, GAD-7). Results showed the median HCCQ (H = 39.287, p < .001), Autonomous Motivation (H = 13.568, p = 0.019) and PCS (H = 30.701, p < .001) scores were significantly different when patients received care from different healthcare professionals. There was a negative correlation between PCS and pain severity (r = -0.32, <0.01), pain interference (r = -0.44, p = <0.01), PHQ-9 (r = -0.50, p = <0.01) and GAD-7 (r = -0.34, p = <0.01). This study has identified that perceived healthcare support in Ireland varies according to the healthcare professional leading pain care. Furthermore, higher levels of self-determination were associated with decreased depression and anxiety in individuals with chronic pain. Given the limited number of multidisciplinary team clinics to provide pain management programs, an alternative cost-effective community led solution is required. The results of this study indicate that allied health professionals may be well placed to fill this void. Future research exploring the barriers to providing healthcare supportive settings is required.

1. Introduction

Pain and pain-related diseases are the leading cause of disability and disease burden globally [1]. The treatment of chronic pain is complex and requires the integrated consideration of biological, psychological and social factors [2,3]. Multidisciplinary Team (MDT) clinics are advocated as best practice to support the complex treatment of chronic pain [46]. MDT clinics promote an individual’s ability to self-manage their pain through education and behaviour change techniques [4,5].

In Ireland, despite a chronic pain prevalence of 35% [7], pain services are under-resourced [8]. Sixteen public pain management clinics offer interventional pain therapies across the nation of Ireland, but only five clinics offer full MDT pain management services [9]. Consequently, in many cases, the delivery of pain management services and the development of self-management skills in Ireland is conducted by individual clinicians rather than an MDT.

Self-management has been described as a person’s capacity to manage their symptoms and the physical and psychosocial impacts of pain on their daily lives [10]. In order to successfully self-manage chronic pain, behaviour change interventions should be employed by healthcare professionals [11]. Self-Determination Theory (SDT) encourages the development of enhanced self-management skills by supporting intrinsic motivation and developing behaviour change [1215]. According to SDT, behaviour change can be enhanced if a person’s autonomy (feeling free to engage in a behaviour), competence (feeling effective to engage in a behaviour) and relatedness (feeling cared for and valued) are optimised in healthcare settings [16,17].

Autonomy supportive healthcare settings have been associated with enhanced biological and psychosocial outcomes in individuals living with chronic disease [18]. Specific to chronic pain, enhanced levels of autonomy and competence have been associated with decreased disability levels [19]. Hence, autonomy supportive healthcare settings that support health behaviours are beneficial and desirable in chronic pain conditions. As healthcare professionals in Ireland generally do not have the support of MDT clinics in providing care, they are required to support autonomy and competence in self-management skills (such as physical activity) independently.

The level of autonomy support provided by individual healthcare professionals is currently unknown in Ireland. In order to understand patient experience, an investigation into the existing levels of autonomy support in Irish healthcare settings is required. Therefore, this study aimed to examine the components of SDT (autonomy support, motivation and competence in physical activity) of individuals living with chronic pain in Ireland. Secondly, this study aimed to explore differences in perceived autonomy support, motivation and competence in physical activity in individuals undergoing treatment with different Irish healthcare professionals. Finally, the association between pain interference, psychological wellbeing and the components of self-determination theory (autonomy, motivation and competence in physical activity) among chronic pain sufferers in Ireland were explored.

2. Materials and methods

2.1 Participants and procedures

Adult participants living with chronic pain (pain > 3 months) in Ireland were eligible for study inclusion. To achieve a confidence level of 95%, the required sample size was determined as 385 participants [online software www.raosoft.com]. Sample size was calculated based on a prevalence of chronic pain in Ireland of 35% [7] and a population in Ireland in 2022 of 5.15 million [20]. Ethical approval for this study was granted by Dublin City University research ethics committee (DCUREC/2022/082). Informed consent was retrieved electronically at the beginning of the online survey. Completion of the study’s informed consent form was required in order for participants to progress to the anonymised survey.

Participants were recruited from 1st August 2022 to 30th of October 2022 with survey reminders sent at 2-week intervals. The study was promoted a) on social media (Twitter, Facebook, Instagram) by two chronic pain advocate groups, b) by poster in Pain Management, Orthopaedic and Neurosurgical Clinic waiting rooms and c) in one medical exercise clinic. Participants completed an anonymous online survey (mean completion time 13 minutes SD = 1.8) using the Qualtrics© online survey platform [21].

2.2 Outcome measures

To commence the survey participants were asked to disclose if they lived with chronic pain. Chronic pain was defined in the introduction of the survey as pain lasting 3 months or longer [22]. If participants self-reported not having chronic pain the survey ended. If they self-reported living with pain lasting three or more months they proceeded to section one. Section one of the survey recorded demographic information including gender, age, county, diagnosis and years lived with pain. Section two of the data collection protocol included reliable and validated questionnaires in the following order, Health Care Climate Questionnaire (HCCQ) [23], Brief Pain Interference (BPI) [24], Treatment Self Regulating Questionnaire (TSRQ) [23], Perceived Competence Scale (PCS) [23], Patient Health Questionnaire-9 (PHQ-9) [25] and the General Anxiety Disorder-7 (GAD-7) [26].

2.3.1 Health care climate questionnaire.

Perceived autonomy support was assessed using the 15-item Health Care Climate Questionnaire (HCCQ) [23]. The HCCQ identifies the participant’s perceptions of which their primary healthcare professional is autonomy supportive. The primary healthcare professional was defined in the survey as the person the participant considered to have the most influence on their treatment and pain management. Responses were given on a 7-point Likert scale (1 strongly disagree to 7 strongly agree). Participant scores were averaged, with higher mean scores demonstrating higher perceived autonomy support. The scale had a high level of internal consistency (Cronbach’s alpha = 0.97).

2.3.2 Treatment self regulating questionnaire.

Motivation towards regular physical activity was assessed using the 15-item Treatment Self Regulating Questionnaire (TSRQ) [23]. Responses are given using a seven-point Likert scale (1 not at all true to 7 very true). The TRSQ consists of three subscales, the 6-item autonomous motivation (the patient is internally motivated), the 6-item controlled motivation [the patient is externally motivated] and the 3-item amotivation scale (the patient is not motivated). The autonomous motivation subscale consists of items # 1, 3, 6, 8, 11, & 13; the controlled motivation subscale consists of items # 2, 4, 7, 9, 12, & 14; and the amotivation subscale consists of items # 5, 10, & 15. Participant scores for each subscale were averaged individually, with higher scores demonstrating higher levels of motivation or amotivation. The combined scale (Cronbach’s alpha = 0.76) along with the subscales autonomous motivation (Cronbach’s alpha = 0.91) and controlled motivation (Cronbach’s alpha = 0.76) demonstrated high internal consistency. The subscale amotivation was considered optimal (mean inter-item correlation = 0.26) [27].

2.3.3 Perceived competence scale.

Perceived competence towards regular physical activity was assessed using the 4-item Perceived Competence Scale (PCS) [23]. Responses are given using a seven-point Likert scale (1 not at all true to 7 very true). An individual’s score was calculated by averaging the total score of the 4-items. The scale had a high level of internal consistency (Cronbach’s Alpha = 0.96).

2.3.4 Brief pain inventory.

Pain intensity and pain interference scores were assessed using the Brief Pain Inventory (BPI) [24]. Pain intensity was measured with four items (worst, least, average and current pain intensity). Pain interference was measured with seven items, including general activity, mood, walking, work, relations with others, sleep and enjoyment of life. Both pain intensity and pain interference responses were gathered on a 0–10 scale with 10 indicating the worst imaginable pain and complete pain interference. An individual’s pain intensity score was calculated by averaging the total score of the 4-items. The pain interference score was calculated by averaging the total score of the 7-items. Both pain severity (Cronbach’s alpha = 0.86) and pain interference (Cronbach’s alpha = 0.91) scales had a high level of internal consistency.

2.3.5 Patient health questionnaire.

The presence and severity of depression was assessed using the Patient Health Questionnaire-9 (PHQ-9) [25]. The PHQ-9 consists of 9-items relating to depression that correspond to the Diagnostic and Statistical Manual of Mental Disorders [28]. Responses are scored from 0 (not at all) to 3 (nearly every day) with a total score of 27 possible. In chronic physical health conditions, a cut off score ≥10 has been utilised for depression identification [29]. The scale demonstrated a high level of internal consistency reporting a Cronbach’s alpha of 0.87.

2.3.6 Generalised anxiety disorder.

The presence of anxiety was assessed using the Generalised Anxiety Disorder (Gad-7) [26]. Responses are scored 0 (not at all) to 3 (nearly every day) with a total score of 21 possible. When screening for an anxiety disorder a recommended cut-off point of ≥10 has been utilised for anxiety identification [30]. The scale had a high level of internal consistency (Cronbach’s alpha = 0.92).

2.4 Statistical analysis

Statistical Analysis was performed with IBM SPSS statistics version 27 [31]. Descriptive and analytical statistics were analysed to evaluate mean and the standard deviation of the HCCQ, BPI, TSRQ and PCS scores. Statistical analysis was completed to determine if there were differences in HCCQ, TSRQ and PCS between six groups of healthcare workers, “General Practitioner” (GP) (n = 160), “Rheumatologist” (n = 49), “Pain Management Consultant” (n = 50), “Neurologist” (n = 39), “Allied Healthcare Professionals’’ (AHP) (n = 53) and “Other Medical Professionals” (n = 31). Complementary therapists were excluded from group analysis due to insufficient data collection in this group (n = 4). The KolmogorovSmirnov test was used to test for normal distribution. Data did not fulfil requirements for parametric testing; therefore, differences between groups were assessed with the Kruskal-Wallis H-test. Dunn’s test was then used to complete pairwise comparisons with a Bonferroni correction for multiple comparisons [32]. Effect size was classified as 0.1 = small effect, 0.3 = medium effect and 0.5 = large effect [33]. Spearman correlations coefficients were completed to explore the association between BPI, GAD-7, PHQ-9 and HCCQ, TSRQ and PCS scores. Correlation coefficients were classified as low (0.1 and 0.29) moderate (0.3 and 0.49) and high (>0.5) high [34]. Statistical significance was set at p < .05.

3 Results

3.1 Descriptive statistics

A total of 681 participants opened the online survey. Insufficient responses [completing demographic information only] were removed (n = 292). Participants (female n = 321, male n = 65) had a mean age of 48.7 SD = 13.6 (range 18–83) years and reported 11.69 SD = 10.4 (range 0.3–58) years of pain. Participants were recruited from the four provinces of Ireland, Leinster (n = 240), Munster (n = 101), Connacht (n = 29), Ulster (n = 12). Participant demographics are summarised in Table 1. Participants identified a total of 17 healthcare professionals as their primary healthcare professionals (Table 2). Participants reported a mean pain severity of 4.5 SD = 1.9 (range 0–10) and mean pain interference of 5.4 SD = 2.5 (range 0–10). Current treatment strategies reportedly relieved pain by a mean of 41% SD = 27.0 (0–100). Mean PHQ-9 scores were 10.6 SD = 6.4 (range 0–27) and mean GAD-7 scores were 6.9 SD = 5.7 (range 0–21).

thumbnail
Table 2. Primary healthcare professionals of persons living with chronic pain.

https://doi.org/10.1371/journal.pone.0301861.t002

3.2 Autonomy support, motivation, and competence levels

The levels of perceived autonomy support, motivation and competence of individuals living with chronic pain in Ireland are detailed in Table 3. Responses are given using a seven-point Likert scale (1 not at all true to 7 very true) with higher scores demonstrating higher levels of autonomy, motivation and competence.

thumbnail
Table 3. Autonomy support, motivation and competence levels.

https://doi.org/10.1371/journal.pone.0301861.t003

3.3 Individual healthcare professional groups

3.3.1 Healthcare climate questionnaire.

A statistically significant difference between healthcare professional groups was observed for HCCQ scores (H(5) = 39.287, p < .001, η2 = .11) (Table 4). Post hoc analysis revealed statistically significant differences with a medium effect size between AHPs (Md = 6.2) and GPs (Md = 4.3), (p = < .001, r = 0.4), AHPs and Neurologists (Md = 4.3) (p = 0.002, r = 0.41), AHPs and Other Medical Health Professionals (Md = 5.3) (p = 0.022, r = 0.4) and a small effect size between AHPs and Rheumatologists (Md = 5.2) (p = 0.04, r = 0.28). No statistical differences were observed between any other group combinations.

thumbnail
Table 4. Median outcomes of healthcare professional groups.

https://doi.org/10.1371/journal.pone.0301861.t004

3.3.2 Treatment self-regulation questionnaire.

For autonomous motivation scores, a statistically significant difference between healthcare professional groups was observed (H(5) = 13.568, p = 0.019, η2 = .05). Post hoc analysis revealed statistically significant medium effect size in median autonomous motivation scores between AHPs (Md = 6) and Neurologists (Md = 4.8) (p = .011, r = 0.36). No statistically significant differences were observed between groups for controlled motivation scores (H(5) = 7048, p = .217) or amotivation scores (H(5) = 1.844, p = .87).

3.3.3 Perceived competence scale.

A statistically significant difference between healthcare professional groups was observed for PCS scores (H(5) = 30.701, p < .001, η2 = .094). Post hoc analysis revealed a large effect size between AHPs (Md = 5) and Neurologists (Md = 2) (p = .000, r = 0.51) and a medium effect size between AHPs and GPs (Md = 3.3) (p = 0.000, r = 0.32), AHPs and Rheumatologists (Md = 3.3) (p = .005, r = 0.36), AHPs and Pain Management Consultants (Md = 3.5) (p = 0.01, r = 0.31) and Other Health Professionals (Md = 4.6) and Neurologists (Md = 2) (p = .05, r = 0.4).

3.4 Correlations

There was negative correlation between HCCQ and both PHQ (r = -0.18, p = <0.01) and GAD-7 (r = -0.11, p = 0.02) (Table 5). There was a negative correlation between autonomous motivation and PHQ (r = -0.18, p = 0.01) and a positive correlation between controlled motivation and PHQ (r = 0.14, p = 0.01) and GAD-7 (r = 0.24, p = <0.01). Amotivation was positively correlated to both pain interference (r = 0.10, p = 0.04) and GAD-7 (r = 0.11, p = 0.02). There was a negative correlation between PCS and pain severity (r = -0.32, <0.01), pain interference (r = -0.44, p = <0.01), PHQ-9 (r = -0.50, p = <0.01) and GAD-7 (r = -0.34, p = <0.01).

thumbnail
Table 5. Correlation coefficient between autonomy support, motivation, competence, pain interference, depression and anxiety.

https://doi.org/10.1371/journal.pone.0301861.t005

4. Discussion

This is the first study of its kind investigating perceived autonomy support, motivation and competence to engage in physical activity in a chronic pain population in Ireland. The recorded level of autonomy support in chronic pain patients in Ireland is lower than autonomy support values reported by primary care patients in Europe [35]. Furthermore, autonomy support levels reported in this study are lower than those reported in other chronic conditions including obesity [23], bipolar disease [36] and melanoma [37]. Similarly, the study’s participant’s competence to engage in physical activity was notably lower than competence to engage in physical activity reported in primary care patients [38]. Despite these findings, it is encouraging, that the results of this study indicate that persons living with chronic pain in Ireland are autonomously motivated. In the context of healthcare, autonomous motivation has been related with enhanced self-management behaviour [17,19,23].

This study reported differences in autonomy support from different healthcare professionals as perceived by individuals with chronic pain with significantly higher levels of autonomy support reported when an AHP was identified as the primary healthcare provider. In contrast to the high HCCQ scores for AHPs found in this study, lower HCCQ scores for AHPs in Ireland have previously been reported [39]. The number of clinical interactions may contribute to the difference in observed autonomy support between AHPs in these two studies as the lower HCCQ scores were recorded after a single AHP patient interaction in an outpatient physiotherapy department [39]. With no limitations to healthcare appointments in the current study, increased clinician patient interactions may have provided a greater opportunity for perceived autonomy support from AHPs.

The current study found that participants living with chronic pain reported the lowest levels of perceived autonomy support from both GPs and neurologists. Although no comparison scores for neurologists are available, similar HCCQ scores have been reported for GPs treating chronic disease in the Netherlands [40]. Although the importance of supporting autonomy in populations living with chronic pain has been established [41], both the environmental context and organisational barriers [time and workload] may negatively affect the implementation of an autonomy supportive setting [42]. Specific to Ireland, GPs and consultants working with patients in chronic pain services are heavily affected by both policy systems and patient factors [43]. The standard GP consultation time is 15 minutes [44], at least half the time available to an AHP. Thus, time and workload could vary widely between different healthcare professionals influencing the results observed in this study.

Similar to perceived autonomy support, individuals with chronic pain treated by AHPs demonstrated the highest scores of autonomous motivation and competence in physical activity, compared to the other groups of healthcare professionals. Although no comparative research specific to chronic pain is available, previous research in both post-surgical rehabilitation [45] and cardiac rehabilitation [46] show similar autonomous motivation scores in healthcare environments led by AHPs. As AHPs are well placed to educate and support physical activity behaviour, it is unsurprising this group demonstrated the highest competence score of all healthcare professionals. Low levels of autonomous motivation and competence in physical activity scores were reported by patients under the care of neurologists, GPs and rheumatologists. Given the limited availability to MDT pain clinics in Ireland [9], many patients receive treatment from a medical professional alone without regular access to an AHP for their pain condition. Consequently, these results are of concern as physical activity is indicated in chronic pain rehabilitation and should be recommended to all persons attending chronic pain services [47]. The individual nature of pain means that there is no specific exercise dose and intensity associated with it’s treatment, thereby complicating the prescription of exercise for medical healthcare professionals [48]. Although medical healthcare professionals may advise patients of the importance of physical activity, healthcare workers require the skill set and time to encourage behaviour change as well as simply imparting knowledge [49]. Future research should explore the specific barriers and facilitators to healthcare professionals supporting patients to achieve higher levels of competency in self-management behaviours such as physical activity.

The final aim of this study was to explore the association between pain interference, anxiety, depression and the components of self-determination theory (autonomy, motivation and competence). Similar to previous research [18], it was observed that higher levels of autonomy support, autonomous motivation and competence were associated with decreased anxiety and depression. As chronic pain patients record high levels of both depression [7] and anxiety [50], it is imperative that any future interventions using self-determination theory report not only improvements in self-management behaviours but also improvements in psychological health. Unexpectedly, in contrast to previous chronic pain research [51], the current study observed no relationship between perceived autonomy support or motivation and pain severity and pain interference. As this study is the first to investigate perceived autonomy, motivation and competence in a diverse Irish chronic pain population, further research is required to explore this relationship further.

4.1 Implications to practice

Healthcare professional’s support is required in order to assist chronic pain patients to learn how to self-manage their condition [52]. The results of this study indicate that under the care of some healthcare professional groups patients do not feel strongly supported, and this could potentially affect the development of self-management behaviours. Further research investigating pain services and self-management behaviour in Ireland is warranted. Firstly, an investigation into the specific barriers to autonomy support, motivation and competence in clinical groups with the lowest outcomes scores in chronic pain services should be completed. Secondly, research investigating the individual elements of the self-determination theory taxonomy may assist healthcare professionals working in varying infrastructures to identify the strategies that they can adopt to implement an autonomy supportive setting in their clinical context [53]. As well as supporting clinicians to develop autonomy supportive settings, a further solution to promoting self-determined behaviour is to improve service pathways to AHPs. The results of this study indicate that AHPs are well placed to deliver autonomy supportive healthcare that encourage self-management behaviours.

4.2 Limitations

Despite the wide use of SDT outcome measures in health-related research, neither a minimally-important difference or an established cut-off score for the HCCQ, TSRQ and PCS have been established or reported in previous research. Causal relationships among the study variables were not possible in this study. This study recruited diverse participants with a variety of chronic pain conditions and as such did not capture the nuances of a specific chronic pain condition. However, the participant demographics and related variables [e.g., psychological wellbeing, and co-morbidities] were similar to previous pain research completed in Ireland [7] and therefore represented the chronic pain population in Ireland. By adopting a convenience sample, participants self-selected to complete the survey, resulting in selection bias. This study did not record the number of treatment sessions that patients completed with healthcare professionals. It is possible that increased treatment sessions will have related to an increased therapeutic alliance and influence on autonomous support. The authors acknowledge that differences found between groups could also result from confounding variables, such as specific pain conditions, participant age, gender, comorbid health conditions, income level, employment, level of education and health related services which were not investigated as part of the survey. Lastly, the limitations of self-reported data in relation to healthcare research are acknowledged. We acknowledge the tendency for participants to provide what they believe are socially acceptable answers, however, it is hoped the anonymous nature of this study minimised this limitation.

5. Conclusion

This is the first study to report perceived autonomy support, motivation and competence to engage in physical activity in people living with chronic pain in Ireland. Perceived healthcare support in Ireland varies according to the healthcare professional leading pain care. Given the shortfall of MDT clinics to support the development of self-management behaviours in Ireland, an alternative cost-effective community led solution is required. The results of this study indicate that AHPs may be well placed to support patients to develop self-determined behaviour and thus enhanced self-management of their pain condition. Future research to explore the barriers to providing healthcare supportive settings from the perspective of both clinicians and person’s living with chronic pain are required.

Supporting information

Acknowledgments

The authors thank the participants for their time in partaking in this study.

References

  1. 1. GBD 2016 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017 Sep 16;390[10100]:1211–59. pmid:28919117
  2. 2. Breivik H, Borchgrevink PC, Allen SM, Rosseland LA, Romundstad L, Hals EKB, et al. Assessment of pain. Br J Anaesth. 2008 Jul;101[1]:17–24. pmid:18487245
  3. 3. Turk DC, Dworkin RH, Revicki D, Harding G, Burke LB, Cella D, et al. Identifying important outcome domains for chronic pain clinical trials: an IMMPACT survey of people with pain. Pain. 2008 Jul 15;137[2]:276–85. pmid:17937976
  4. 4. Gatchel RJ, McGeary DD, McGeary CA, Lippe B. Interdisciplinary chronic pain management: past, present, and future. Am Psychol. 2014;69[2]:119–30. pmid:24547798
  5. 5. Kamper SJ, Apeldoorn AT, Chiarotto A, Smeets RJEM, Ostelo RWJG, Guzman J, et al. Multidisciplinary biopsychosocial rehabilitation for chronic low back pain: Cochrane systematic review and meta-analysis. BMJ. 2015 Feb 18;350:h444. pmid:25694111
  6. 6. Pergolizzi J, Ahlbeck K, Aldington D, Alon E, Coluzzi F, Dahan A, et al. The development of chronic pain: physiological CHANGE necessitates a multidisciplinary approach to treatment. Current Medical Research and Opinion. 2013 Sep;29[9]:1127–35. pmid:23786498
  7. 7. Raftery MN, Sarma K, Murphy AW, De la Harpe D, Normand C, McGuire BE. Chronic pain in the Republic of Ireland—community prevalence, psychosocial profile and predictors of pain-related disability: results from the Prevalence, Impact and Cost of Chronic Pain [PRIME] study, part 1. Pain. 2011 May;152[5]:1096–103. pmid:21450402
  8. 8. Fullen B, Hurley DA, Power C, Canavan D, O’Keeffe D. The need for a national strategy for chronic pain management in Ireland. Ir J Med Sci. 2006;175[2]:68–73. pmid:16872034
  9. 9. Purcell A, Channappa K, Moore D, Harmon D. A national survey of publicly funded chronic pain management services in Ireland. Ir J Med Sci. 2022 Jun;191[3]:1315–23. pmid:34110583
  10. 10. Barlow J, Wright C, Sheasby J, Turner A, Hainsworth J. Self-management approaches for people with chronic conditions: a review. Patient Educ Couns. 2002;48[2]:177–87. pmid:12401421
  11. 11. Keogh A, Tully MA, Matthews J, Hurley DA. A review of behaviour change theories and techniques used in group based self-management programmes for chronic low back pain and arthritis. Man Ther. 2015 Dec;20[6]:727–35. pmid:25865062
  12. 12. Brooks JM, Huck G, Iwanaga K, Chan F, Wu JR, Finnicum CA, et al. Towards an integration of the health promotion models of self-determination theory and theory of planned behavior among people with chronic pain. Rehabil Psychol. 2018 Nov;63[4]:553–62. pmid:30211605
  13. 13. Rahman RJ, Thogersen-Ntoumani C, Thatcher J, Doust J. Changes in need satisfaction and motivation orientation as predictors of psychological and behavioural outcomes in exercise referral. Psychol Health. 2011 Nov;26[11]:1521–39. pmid:22111661
  14. 14. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist. 2000;55[1]:68–78. pmid:11392867
  15. 15. 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. Health Psychol. 2004 Jan;23[1]:58–66. pmid:14756604
  16. 16. Ryan RM, Patrick H, Deci EL, Williams GC. Facilitating health behaviour change and its maintenance: Interventions based on Self-Determination Theory. The European Health Psychologist [Internet]. 2008;10. Available from: https://selfdeterminationtheory.org/SDT/documents/2008_RyanPatrickDeciWilliams_EHP.pdf.
  17. 17. Williams GC, Freedman ZR, Deci EL. Supporting autonomy to motivate patients with diabetes for glucose control. Diabetes Care. 1998 Oct;21[10]:1644–51. pmid:9773724
  18. 18. Ntoumanis N, Ng JYY, Prestwich A, Quested E, Hancox JE, Thøgersen-Ntoumani C, et al. A meta-analysis of self-determination theory-informed intervention studies in the health domain: effects on motivation, health behavior, physical, and psychological health. Health Psychol Rev. 2021 Jun;15[2]:214–44. pmid:31983293
  19. 19. Podlog L, Burns R, Dimmock JA, Jackson B, Hall MS, Fritz JM. Does motivation mediate the relationship between competence perceptions and patient outcomes among individuals with chronic low back pain? A multiple mediation analysis. Disabil Rehabil. 2021 Apr;43[7]:953–9. pmid:31345072
  20. 20. Census of Population 2022—Summary Results—CSO—Central Statistics Office [Internet]. CSO; 2023 [cited 2024 Mar 1]. https://www.cso.ie/en/releasesandpublications/ep/p-cpsr/censusofpopulation2022-summaryresults/.
  21. 21. Qualtrics. [Internet]. 2022. https://www.qualtrics.com.
  22. 22. Treede RD, Rief W, Barke A, Aziz Q, Bennett MI, Benoliel R, et al. Chronic pain as a symptom or a disease: the IASP Classification of Chronic Pain for the International Classification of Diseases [ICD-11]. Pain. 2019 Jan;160[1]:19–27. pmid:30586067
  23. 23. Williams GC, Grow VM, Freedman ZR, Ryan RM, Deci EL. Motivational predictors of weight loss and weight-loss maintenance. J Pers Soc Psychol. 1996 Jan;70[1]:115–26. pmid:8558405
  24. 24. Cleeland CS, Ryan KM. Pain assessment: global use of the Brief Pain Inventory. Ann Acad Med Singap. 1994 Mar;23[2]:129–38. pmid:8080219
  25. 25. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16[9]:606–13. pmid:11556941
  26. 26. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22;166[10]:1092–7. pmid:16717171
  27. 27. Briggs SR, Cheek JM. The role of factor analysis in the development and evaluation of personality scales. J Personality. 1986 Mar;54[1]:106–48.
  28. 28. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders [Internet]. 4th [DSM-IV]. 2006. https://doi.org/10.1176/ajp.152.8.1228.
  29. 29. McManus D, Pipkin SS, Whooley MA. Screening for depression in patients with coronary heart disease [data from the Heart and Soul Study]. Am J Cardiol. 2005 Oct 15;96[8]:1076–81. pmid:16214441
  30. 30. Sapra A, Bhandari P, Sharma S, Chanpura T, Lopp L. Using Generalized Anxiety Disorder-2 [GAD-2] and GAD-7 in a Primary Care Setting. Cureus. 2020;12[5]:e8224. pmid:32582485
  31. 31. IBM SPSS Statistics for Windows. IBM Corp; 2020.
  32. 32. Dunn OJ. Multiple Comparisons Using Rank Sums. Technometrics. 1964 Aug 1;6[3]:241–52.
  33. 33. Cohen J. A power primer. Psychol Bull. 1992 Jul;112[1]:155–9. pmid:19565683
  34. 34. Pallant J. SPSS survival manual: A step by step guide to data analysis using the SPSS program. 4th Edition. Berkshire: Allen & Unwin; 2011.
  35. 35. Schmidt K, Gensichen J, Petersen JJ, Szecsenyi J, Walther M, Williams G, et al. Autonomy support in primary care—validation of the German version of the Health Care Climate Questionnaire. J Clin Epidemiol. 2012 Feb;65[2]:206–11. pmid:21862287
  36. 36. Ludman EJ, Simon GE, Rutter CM, Bauer MS, Unützer J. A measure for assessing patient perception of provider support for self-management of bipolar disorder. Bipolar Disord. 2002 Aug;4[4]:249–53. pmid:12190714
  37. 37. Czajkowska Z, Wang H, Hall NC, Sewitch M, Körner A. Validation of the English and French versions of the Brief Health Care Climate Questionnaire. Health Psychol Open. 2017;4[2]:2055102917730675. pmid:29379621
  38. 38. 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;8:741–57.
  39. 39. Murray A, Hall AM, Williams GC, McDonough SM, Ntoumanis N, Taylor IM, et al. Effect of a self-determination theory-based communication skills training program on physiotherapists’ psychological support for their patients with chronic low back pain: a randomized controlled trial. Arch Phys Med Rehabil. 2015 May;96[5]:809–16. pmid:25433220
  40. 40. Raaijmakers LGM, Martens MK, Hesselink AE, de Weerdt I, de Vries NK, Kremers SPJ. Mastery and perceived autonomy support are correlates of Dutch diabetes patients’ self-management and quality of life. Patient Educ Couns. 2014 Oct;97[1]:75–81. pmid:25053473
  41. 41. Cummings EC, van Schalkwyk GI, Grunschel BD, Snyder MK, Davidson L. Self-efficacy and paradoxical dependence in chronic back pain: A qualitative analysis. Chronic Illn. 2017 Dec;13[4]:251–61. pmid:28118739
  42. 42. Matthews J, Hall AM, Hernon M, Murray A, Jackson B, Taylor I, et al. A brief report on the development of a theoretically-grounded intervention to promote patient autonomy and self-management of physiotherapy patients: face validity and feasibility of implementation. BMC Health Serv Res. 2015 Jul 5;15:260. pmid:26142483
  43. 43. Fullen BM, Doody C, David Baxter G, Daly LE, Hurley DA. Chronic low back pain: non-clinical factors impacting on management by Irish doctors. Ir J Med Sci. 2008 Sep;177[3]:257–63. pmid:18584269
  44. 44. Blumenthal D, Causino N, Chang YC, Culpepper L, Marder W, Saglam D, et al. The duration of ambulatory visits to physicians. J Fam Pract. 1999 Apr;48[4]:264–71. pmid:10229250
  45. 45. Chan DK, Lonsdale C, Ho PY, Yung PS, Chan KM. Patient motivation and adherence to postsurgery rehabilitation exercise recommendations: the influence of physiotherapists’ autonomy-supportive behaviors. Arch Phys Med Rehabil. 2009 Dec;90[12]:1977–82. pmid:19969157
  46. 46. Russell KL, Bray SR. Promoting self-determined motivation for exercise in cardiac rehabilitation: the role of autonomy support. Rehabil Psychol. 2010 Feb;55[1]:74–80. pmid:20175637
  47. 47. Borisovskaya A, Chmelik E, Karnik A. Exercise and Chronic Pain. Adv Exp Med Biol. 2020;1228:233–53. pmid:32342462
  48. 48. Ambrose KR, Golightly YM. Physical exercise as non-pharmacological treatment of chronic pain: Why and when. Best Pract Res Clin Rheumatol. 2015 Feb;29[1]:120–30. pmid:26267006
  49. 49. Morrow JR, Krzewinski-Malone JA, Jackson AW, Bungum TJ, FitzGerald SJ. American adults’ knowledge of exercise recommendations. Res Q Exerc Sport. 2004 Sep;75[3]:231–7. pmid:15487287
  50. 50. Lerman SF, Rudich Z, Brill S, Shalev H, Shahar G. Longitudinal associations between depression, anxiety, pain, and pain-related disability in chronic pain patients. Psychosom Med. 2015 Apr;77[3]:333–41. pmid:25849129
  51. 51. Matos M, Bernardes SF, Goubert L. The relationship between perceived promotion of autonomy/dependence and pain-related disability in older adults with chronic pain: the mediating role of self-reported physical functioning. J Behav Med. 2016 Aug;39[4]:704–15. pmid:26922802
  52. 52. Spink A, Wagner I, Orrock P. Common reported barriers and facilitators for self-management in adults with chronic musculoskeletal pain: A systematic review of qualitative studies. Musculoskeletal Science and Practice. 2021 Dec 1;56:102433. pmid:34416557
  53. 53. Gillison FB, Rouse P, Standage M, Sebire SJ, Ryan RM. A meta-analysis of techniques to promote motivation for health behaviour change from a self-determination theory perspective. Health Psychol Rev. 2019 Mar;13[1]:110–30. pmid:30295176