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Original Article

New Insights Into Predictors of Antihypertensive Adherence

A Mixed Methods Study of Illness Perceptions and the Physician-Patient Relationship

Published Online:https://doi.org/10.1027/2512-8442/a000147

Abstract:Background: Low adherence to treatment is the most common cause of uncontrolled hypertension. Evidence suggests that illness perceptions and the physician-patient relationship may have a combined effect on treatment adherence. Aims: We investigated the roles of illness perceptions and the physician-patient relationship in medication and lifestyle modification adherence, and explained them using patients’ experiences with essential hypertension.Method: In this mixed methods explanatory sequential study, we used questionnaires to assess illness perceptions, the physician-patient relationship, and adherence to medication and lifestyle modification guidance (N = 112) in the first quantitative phase. Based on the results of regression analyses, the second qualitative phase was planned. We collected data from three patients through interviews, observations and journals, and conducted within-case and cross-case analyses. Finally, we integrated quantitative and qualitative findings. Results: The physician-patient relationship was an independent predictor of medication adherence (95% confidence interval [CI]: 0.29 to 5.89), whereas both illness perceptions (95% CI: −0.32 to −0.04) and the physician-patient relationship (95% CI: 1.05 to 9.48) were independent predictors of adherence to lifestyle modification guidance. Qualitative themes, reflecting the patient’s experience of the concepts explored in this study, explained the quantitative results. Mixing methods revealed high consistency between quantitative and qualitative findings. Limitations: Limitations are the inability to infer causal associations among variables and indirect measurement of medication adherence. Conclusion: Shared decision-making on antihypertensive medications promotes medication adherence. Specifically, the illness perception, perceived illness controllability, and non-judgemental patients’ acceptance within a satisfying physician-patient relationship empower patients to adhere to lifestyle modification guidance.

References

  • AlGhurair, S. A., Hughes, C. A., Simpson, S. H., & Guirguis, L. M. (2012). A systematic review of patient self-reported barriers of adherence to antihypertensive medications using the world health organization multidimensional adherence model. The Journal of Clinical Hypertension, 14(12), 877–886. https://doi.org/10.1111/j.1751-7176.2012.00699.x First citation in articleCrossrefGoogle Scholar

  • Al Noumani, H., Wu, J. R., Barksdale, D., Knafl, G., AlKhasawneh, E., & Sherwood, G. (2018). Health beliefs and medication adherence in Omanis with hypertension. Journal of Cardiovascular Nursing, 33(6), 518–526. https://doi.org/10.1097/JCN.0000000000000511 First citation in articleCrossrefGoogle Scholar

  • Ampofo, A. G., Khan, E., & Ibitoye, M. B. (2020). Understanding the role of educational interventions on medication adherence in hypertension: A systematic review and meta-analysis. Heart & Lung, 49(5), 537–547. https://doi.org/10.1016/j.hrtlng.2020.02.039 First citation in articleCrossrefGoogle Scholar

  • Bagherian-Sararoudi, R., Saneei, H., & Bahrami-Ehsan, H. (2010). The relationship of history of hypertension and illness cognitive representation in post-myocardial infarction. Journal of Isfahan Medical School, 27(101), 699–709. [Persian]. https://jims.mui.ac.ir/article_13120.html?lang=en First citation in articleGoogle Scholar

  • Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 1175–1184. https://doi.org/10.1037/0003-066X.44.9.1175 First citation in articleCrossrefGoogle Scholar

  • Bordin, E. S. (1979). The generalizability of the psychoanalytic concept of the working alliance. Psychotherapy: Theory, Research & Practice, 16(3), 252–260. https://doi.org/10.1037/h0085885 First citation in articleCrossrefGoogle Scholar

  • Broadbent, E., Petrie, K. J., Main, J., & Weinman, J. (2006). The brief illness perception questionnaire. Journal of Psychosomatic Research, 60(6), 631–637. https://doi.org/10.1016/j.jpsychores.2005.10.020 First citation in articleCrossrefGoogle Scholar

  • Campbell, D. J. T., Tam-Tham, H., Dhaliwal, K. K., Manns, B. J., Hemmelgarn, B. R., Claudia Sanmartin, D., & King-Shier, K. (2017). Use of mixed methods research in research on coronary artery disease, diabetes mellitus, and hypertension: A scoping review. Circulation: Cardiovascular Quality and Outcomes, 10, Article e003310. https://doi.org/10.1161/CIRCOUTCOMES.116.003310 First citation in articleCrossrefGoogle Scholar

  • Carey, R. M., Muntner, P., Bosworth, H. B., & Whelton, P. K. (2018). Prevention and control of hypertension: JACC health promotion series. Journal of the American College of Cardiology, 72(11), 1278–1293. https://doi.org/10.1016/j.jacc.2018.07.008 First citation in articleCrossrefGoogle Scholar

  • Castillo-Montoya, M. (2016). Preparing for interview research: The interview protocol refinement framework. The Qualitative Report, 21(5), 811–831. https://doi.org/10.46743/2160-3715/2016.2337 First citation in articleCrossrefGoogle Scholar

  • Chen, S. L., Tsai, J. C., & Chou, K. R. (2011). Illness perceptions and adherence to therapeutic regimens among patients with hypertension: A structural modeling approach. International Journal of Nursing Studies, 48(2), 235–245. https://doi.org/10.1016/j.ijnurstu.2010.07.005 First citation in articleCrossrefGoogle Scholar

  • Chen, S. L., Tsai, J. C., & Lee, W. L. (2009). The impact of illness perception on adherence to therapeutic regimens of patients with hypertension in Taiwan. Journal of Clinical Nursing, 18(15), 2234–2244. https://doi.org/10.1111/j.1365-2702.2008.02706.x First citation in articleCrossrefGoogle Scholar

  • Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Pearson. First citation in articleGoogle Scholar

  • Creswell, J. W., Klassen, A., Plano Clark, V. L., & Clegg Smith, C. (2011). Best practices for mixed methods research in the health sciences. National Institutes of Health. First citation in articleCrossrefGoogle Scholar

  • Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage Publications. First citation in articleGoogle Scholar

  • Durand, H., Casey, M., Glynn, L. G., Hayes, P., Murphy, A. W., & Molloy, G. J. (2020). A qualitative comparison of high and low adherers with apparent treatment-resistant hypertension. Psychology, Health & Medicine, 25(1), 64–77. https://doi.org/10.1080/13548506.2019.1619788 First citation in articleCrossrefGoogle Scholar

  • Durand, H., Hayes, P., Harhen, B., Conneely, A., Finn, D. P., Casey, M., Murphy, A. W., & Molloy, G. J. (2018). Medication adherence for resistant hypertension: Assessing theoretical predictors of adherence using direct and indirect adherence measures. British Journal of Health Psychology, 23(4), 949–966. https://doi.org/10.1111/bjhp.12332 First citation in articleCrossrefGoogle Scholar

  • Farber, B. A., & Doolin, E. M. (2011). Positive regard. Psychotherapy, 48(1), 58–64. https://doi.org/10.1037/a0022141 First citation in articleCrossrefGoogle Scholar

  • Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149 First citation in articleCrossrefGoogle Scholar

  • Forouzanfar, M. H., Liu, P., Roth, G. A., Ng, M., Biryukov, S., Marczak, L., Alexander, L., Estep, K., Abate, K. H., Akinyemiju, T. F., Ali, R., Alvis-Guzman, N., Azzopardi, P., Banerjee, A., Bärnighausen, T., Basu, A., Bekele, T., Bennett, D. A., Biadgilign, S., … Murray, C. J. L. (2017). Global burden of hypertension and systolic blood pressure of at least 110 to 115 mm Hg, 1990–2015. Journal of the American Medical Association, 317(2), 165–182. https://doi.org/10.1001/jama.2016.19043 First citation in articleCrossrefGoogle Scholar

  • Fuertes, J. N., Anand, P., Haggerty, G., Kestenbaum, M., & Rosenblum, G. C. (2015). The physician-patient working alliance and patient psychological attachment, adherence, outcome expectations, and satisfaction in a sample of rheumatology patients. Behavioral Medicine, 41(2), 60–68. https://doi.org/10.1080/08964289.2013.875885 First citation in articleCrossrefGoogle Scholar

  • Fuertes, J. N., Boylan, L. S., & Fontanella, J. A. (2009). Behavioral indices in medical care outcome: The working alliance, adherence, and related factors. Journal of General Internal Medicine, 24(1), 80–85. https://doi.org/10.1007/s11606-008-0841-4 First citation in articleCrossrefGoogle Scholar

  • Fuertes, J. N., Toporovsky, A., Reyes, M., & Osborne, J. B. (2017). The physician-patient working alliance: Theory, research, and future possibilities. Patient Education and Counseling, 100(4), 610–615. https://doi.org/10.1016/j.pec.2016.10.018 First citation in articleCrossrefGoogle Scholar

  • Gakidou, E., Afshin, A., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulle, A. M., Abera, S. F., Aboyans, V., Abu-Raddad, L. J., Abu-Rmeileh, N. M. E., Abyu, G. Y., Adedeji, I. A., Adetokunboh, O., Afarideh, M., Agrawal, A., Agrawal, S., Kiadaliri, A. A., … Murray, C. J. L. (2017). Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet, 390(10100), 1345–1422. https://doi.org/10.1016/S0140-6736(17)32366-8 First citation in articleCrossrefGoogle Scholar

  • Hagger, M. S., & Orbell, S. (2003). A meta-analytic review of the common-sense model of illness representations. Psychology and Health, 18(2), 141–184. https://doi.org/10.1080/088704403100081321 First citation in articleCrossrefGoogle Scholar

  • Hartley, M., & Repede, E. (2011). Nurse practitioner communication and treatment adherence in hypertensive patients. The Journal for Nurse Practitioners, 7(8), 654–659. https://doi.org/10.1016/j.nurpra.2011.04.017 First citation in articleCrossrefGoogle Scholar

  • Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Press. First citation in articleGoogle Scholar

  • He, W. (2015). Exploring factors influencing adherence to lifestyle modifications in Chinese people with hypertension: The role of concordance during health communication (Doctoral dissertation, Queensland University of Technology). Queensland University of Technology. http://eprints.qut.edu.au/83631 First citation in articleGoogle Scholar

  • Jones, D. E., Carson, K. A., Bleich, S. N., & Cooper, L. A. (2012). Patient trust in physicians and adoption of lifestyle behaviors to control high blood pressure. Patient Education and Counseling, 89(1), 57–62. https://doi.org/10.1016/j.pec.2012.06.003 First citation in articleCrossrefGoogle Scholar

  • Kripalani, S., Risser, J., Gatti, M., & Jacobson, T. (2009). Development and evaluation of the Adherence to Refills and Medications Scale (ARMS) among low-literacy patients with chronic disease. Value in Health, 12(1), 118–123. https://doi.org/10.1111/j.1524-4733.2008.00400.x First citation in articleCrossrefGoogle Scholar

  • Kucukarslan, S. N. (2012). A review of published studies of patients’ illness perceptions and medication adherence: Lessons learned and future directions. Research in Social and Administrative Pharmacy, 8(5), 371–382. https://doi.org/10.1016/j.sapharm.2011.09.002 First citation in articleCrossrefGoogle Scholar

  • Lau-Walker, M. (2004). Relationship between illness representation and self-efficacy. Journal of Advanced Nursing, 48(3), 216–225. https://doi.org/10.1111/j.1365-2648.2004.03190.x First citation in articleCrossrefGoogle Scholar

  • Leventhal, H., Brissette, I., & Leventhal, E. A. (2003). The common-sense model of self-regulation of health and illness. In L. D. CameronH. LeventhalEds., The self-regulation of health and illness behavior (pp. 42–65). Routledge. First citation in articleGoogle Scholar

  • Leventhal, H., Phillips, L. A., & Burns, E. (2016). The Common-Sense Model of Self-Regulation (CSM): A dynamic framework for understanding illness self-management. Journal of Behavioral Medicine, 39(6), 935–946. https://doi.org/10.1007/s10865-016-9782-2 First citation in articleCrossrefGoogle Scholar

  • Martin, L. R., Jahng, K. H., Golin, C. E., & DiMatteo, M. R. (2003). Physician facilitation of patient involvement in care: Correspondence between patient and observer reports. Behavioral Medicine, 28(4), 159–164. https://doi.org/10.1080/08964280309596054 First citation in articleCrossrefGoogle Scholar

  • McConnell, W. R. (2017). Cultural guides, cultural critics: Distrust of doctors and social support during mental health treatment. Journal of Health and Social Behavior, 58(4), 503–519. https://doi.org/10.1177/0022146517736291 First citation in articleCrossrefGoogle Scholar

  • McIntosh, R. C., Ironson, G., & Krause, N. (2020). Do religious and spiritual identity confer risk for hypertension via psychosocial and lifestyle factors? Journal of Health Psychology, 25(8), 1082–1097. https://doi.org/10.1177/1359105317748733 First citation in articleCrossrefGoogle Scholar

  • Moss-Morris, R., Weinman, J., Petrie, K. J., Horne, R., Cameron, L. D., & Buick, D. (2002). The revised Illness Perception Questionnaire (IPQ-R). Psychology & Health, 17(1), 1–16. https://doi.org/10.1080/08870440290001494 First citation in articleCrossrefGoogle Scholar

  • Morisky, D. E., Green, L. W., & Levine, D. M. (1986). Concurrent and predictive validity of a self-reported measure of medication adherence. Medical Care, 24(1), 67–74. https://doi.org/10.1097/00005650-198601000-00007 First citation in articleCrossrefGoogle Scholar

  • Morse, J. M. (1991). Approaches to qualitative-quantitative methodological triangulation. Nursing Research, 40(2), 120–123. https://doi.org/10.1097/00006199-199103000-00014 First citation in articleCrossrefGoogle Scholar

  • Munder, T., Wilmers, F., Leonhart, R., Linster, H. W., & Barth, J. (2010). Working Alliance Inventory – Short Revised (WAI-SR): Psychometric properties in outpatients and inpatients. Clinical Psychology & Psychotherapy, 17(3), 231–239. https://doi.org/10.1002/cpp.658 First citation in articleCrossrefGoogle Scholar

  • Nikfarjam, M. R. (2012). The effects of the therapist-client relational models on the quality of working alliance in neurotic clients (MA Thesis, Allameh Tabataba’i University). Irandoc Repository [Persian]. https://ganj.irandoc.ac.ir/#/articles/6e7070a78bf7eb46ad544ccd7bc70673/fulltext First citation in articleGoogle Scholar

  • Nikfarjam, M. R., Mohammadkhani, S., Moradi, A. R., Davarpasand, T., & Pearce, C. J. (2024, March 15). New insights into predictors of antihypertensive adherence: A mixed methods study of illness perceptions and the physician-patient relationship [Data]. https://doi.org/10.17605/OSF.IO/7NWTK First citation in articleCrossrefGoogle Scholar

  • Ogedegbe, G., Mancuso, C. A., Allegrante, J. P., & Charlson, M. E. (2003). Development and evaluation of a Medication Adherence Self-Efficacy Scale in hypertensive African-American patients. Journal of Clinical Epidemiology, 56(6), 520–529. https://doi.org/10.1016/S0895-4356(03)00053-2 First citation in articleCrossrefGoogle Scholar

  • Rajpura, J., & Nayak, R. (2014). Medication adherence in a sample of elderly suffering from hypertension: Evaluating the influence of illness perceptions, treatment beliefs, and illness burden. Journal of Managed Care Pharmacy, 20(1), 58–65. https://doi.org/10.18553/jmcp.2014.20.1.58 First citation in articleCrossrefGoogle Scholar

  • Sabaté, E. (2003). Adherence to long term therapies: Evidence for action. World Health Organization. First citation in articleGoogle Scholar

  • Saffari, M., Zeidi, I. M., Fridlund, B., Chen, H., & Pakpour, A. H. (2015). A Persian adaptation of Medication Adherence Self-Efficacy Scale (MASES) in hypertensive patients: Psychometric properties and factor structure. High Blood Pressure & Cardiovascular Prevention, 22(3), 247–255. https://doi.org/10.1007/s40292-015-0101-8 First citation in articleCrossrefGoogle Scholar

  • Schoenthaler, A., Allegrante, J. P., Chaplin, W., & Ogedegbe, G. (2012). The effect of patient–provider communication on medication adherence in hypertensive black patients: Does race concordance matter? Annals of Behavioral Medicine, 43(3), 372–382. https://doi.org/10.1007/s12160-011-9342-5 First citation in articleCrossrefGoogle Scholar

  • Schoenthaler, A., Rosenthal, D. M., Butler, M., & Jacobowitz, L. (2018). Medication adherence improvement similar for shared decision-making preference or longer patient-provider relationship. The Journal of the American Board of Family Medicine, 31(5), 752–760. https://doi.org/10.3122/jabfm.2018.05.180009 First citation in articleCrossrefGoogle Scholar

  • Shim, J. K. (2010). Cultural health capital: A theoretical approach to understanding health care interactions and the dynamics of unequal treatment. Journal of Health and Social Behavior, 51(1), 1–15. https://doi.org/10.1177/0022146509361185 First citation in articleCrossrefGoogle Scholar

  • Spikes, T., Higgins, M., Lewis, T., & Dunbar, S. (2020). The effect of contextualized racial and gendered stressors, social support, and depression on hypertension illness perceptions and hypertension medication adherence in young African American women with hypertension. Journal of Cardiovascular Nursing, 35(6), 576–587. https://doi.org/10.1097/JCN.0000000000000671 First citation in articleCrossrefGoogle Scholar

  • Swain, S., Hariharan, M., Rana, S., Chivukula, U., & Thomas, M. (2015). Doctor-patient communication: Impact on adherence and prognosis among patients with primary hypertension. Psychological Studies, 60(1), 25–32. https://doi.org/10.1007/s12646-014-0291-5 First citation in articleCrossrefGoogle Scholar

  • Świątoniowska-Lonc, N., Polański, J., Tański, W., & Jankowska-Polańska, B. (2020). Impact of satisfaction with physician–patient communication on self-care and adherence in patients with hypertension: Cross-sectional study. BMC Health Service Research, 20, Article 1046. https://doi.org/10.1186/s12913-020-05912-0 First citation in articleCrossrefGoogle Scholar

  • Van der Laan, D. M., Elders, P. J. M., Boons, C. C., Beckeringh, J. J., Nijpels, G., & Hugtenburg, J. G. (2017). Factors associated with antihypertensive medication non-adherence: A systematic review. Journal of Human Hypertension, 31(11), 687–694. https://doi.org/10.1038/jhh.2017.48 First citation in articleCrossrefGoogle Scholar

  • Whelton, P. K., Carey, R. M., Aronow, W. S., Casey Jr, D. E., Collins, K. J., Himmelfarb, C. D., DePalma, S. M., Gidding, S., Jamerson, K. A., Jones, D. W., MacLaughlin, E. J., Muntner, P., Ovbiagele, B., Smith Jr, S. C., Spencer, C. C., Stafford, R. S., Taler, S. J., Thomas, R. J., Williamssr, K. A., & Wright Jr, J. T. (2018). 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: A report of the American College of Cardiology/American Heart Association task force on clinical practice guidelines. Hypertension, 71, e13–e115. https://doi.org/10.1161/HYP.0000000000000065 First citation in articleCrossrefGoogle Scholar

  • World Health Organization. (2013). A global brief on hypertension: Silent killer, global public health crisis. WHO. First citation in articleGoogle Scholar

  • Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage Publications. First citation in articleGoogle Scholar