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Published in: International Journal of Behavioral Medicine 1/2023

22-02-2022 | Brief Report

Implementation of a Novel Medication Regimen Following Cardiac Rehabilitation: an Application of the Health Action Process Approach

Authors: Walter Bierbauer, Tania Bermudez, Artur Bernardo, Ruth Fleisch-Silvestri, Matthias Hermann, Jean-Paul Schmid, Tobias Kowatsch, Urte Scholz

Published in: International Journal of Behavioral Medicine | Issue 1/2023

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Abstract

Background

Medication adherence is an indispensable prerequisite for the long-term management of many chronic diseases. However, published literature suggests that non-adherence is widely prevalent. Health behavior change theories can help understand the underlying processes and allow the accumulation of knowledge in the field. The present study applied the health action process approach (HAPA) in an intensive longitudinal research design to investigate medication adherence in patients after discharge from inpatient cardiac rehabilitation.

Method

In total, n = 139 patients (84.9% male, Mage = 62.2 years) completed n = 2,699 daily diaries in the 22 days following discharge from inpatient cardiac rehabilitation. Patients’ intentions to take medication and predictors were assessed in daily end-of-day questionnaires. Adherence to medication was measured subjectively (self-report) and objectively. Multilevel modeling was applied to disentangle the between- and within-person level.

Results

Higher levels of risk awareness and self-efficacy were positively associated with intentions to take medication at both levels of analysis. Contrary to theoretical assumptions, positive outcome expectations were not associated with intention, neither between- nor within-person. In contrast to published literature, patients showed very high medication adherence (95.2% self-report, 92.2% objectively).

Conclusion

In line with the theoretical assumptions, the results showed that risk awareness and self-efficacy are promising modifiable factors that could be targeted to motivate patients to take medication as prescribed. Daily measurements revealed that patients took their medication as prescribed; thus, future studies should make every effort to recruit patients vulnerable to non-adherence to avoid ceiling effects.
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Literature
1.
go back to reference WHO. Fact sheet: the top 10 causes of death. World Health Organization, Geneva, Switzerland. 2017. WHO. Fact sheet: the top 10 causes of death. World Health Organization, Geneva, Switzerland. 2017.
2.
go back to reference Hermann M, Witassek F, Erne P, Radovanovic D, Rickli H. Referral for cardiac rehabilitation after acute myocardial infarction: Insights from nationwide AMIS Plus registry 2005–2017. Int J Cardiol. 2018;261:1–5.CrossRef Hermann M, Witassek F, Erne P, Radovanovic D, Rickli H. Referral for cardiac rehabilitation after acute myocardial infarction: Insights from nationwide AMIS Plus registry 2005–2017. Int J Cardiol. 2018;261:1–5.CrossRef
3.
go back to reference Vrijens B, de Geest S, Hughes DA, et al. A new taxonomy for describing and defining adherence to medications. Br J Clin Pharmacol. 2012;73:691–705.CrossRef Vrijens B, de Geest S, Hughes DA, et al. A new taxonomy for describing and defining adherence to medications. Br J Clin Pharmacol. 2012;73:691–705.CrossRef
4.
go back to reference Ho PM, Magid DJ, Shetterly SM, et al. Medication non-adherence is associated with a broad range of adverse outcomes in patients with coronary artery disease. Am Heart J. 2008;155:772–9.CrossRef Ho PM, Magid DJ, Shetterly SM, et al. Medication non-adherence is associated with a broad range of adverse outcomes in patients with coronary artery disease. Am Heart J. 2008;155:772–9.CrossRef
5.
go back to reference Kramer JM, Hammill B, Anstrom KJ, et al. National evaluation of adherence to beta-blocker therapy for 1 year after acute myocardial infarction in patients with commercial health insurance. Am Heart J. 2006;152(454):e1-8. Kramer JM, Hammill B, Anstrom KJ, et al. National evaluation of adherence to beta-blocker therapy for 1 year after acute myocardial infarction in patients with commercial health insurance. Am Heart J. 2006;152(454):e1-8.
6.
go back to reference Lowry KP, Dudley TK, Oddone EZ, Bosworth HB. Intentional and unintentional non-adherence to antihypertensive medication. Ann Pharmacother. 2005;39:1198–203.CrossRef Lowry KP, Dudley TK, Oddone EZ, Bosworth HB. Intentional and unintentional non-adherence to antihypertensive medication. Ann Pharmacother. 2005;39:1198–203.CrossRef
7.
go back to reference Zullig LL, Ramos K, Bosworth HB. Improving Medication Adherence in Coronary Heart Disease. Curr Cardiol Rep. 2017;19:113.CrossRef Zullig LL, Ramos K, Bosworth HB. Improving Medication Adherence in Coronary Heart Disease. Curr Cardiol Rep. 2017;19:113.CrossRef
8.
go back to reference Fisher JD, Fisher WA, Amico KR, Harman JJ. An information-motivation-behavioral skills model of adherence to antiretroviral therapy. Health Psychol. 2006;25:462–73.CrossRef Fisher JD, Fisher WA, Amico KR, Harman JJ. An information-motivation-behavioral skills model of adherence to antiretroviral therapy. Health Psychol. 2006;25:462–73.CrossRef
9.
go back to reference Schwarzer R. Modeling Health Behavior Change: How to Predict and Modify the Adoption and Maintenance of Health Behaviors. Appl Psychol. 2008;57:1–29. Schwarzer R. Modeling Health Behavior Change: How to Predict and Modify the Adoption and Maintenance of Health Behaviors. Appl Psychol. 2008;57:1–29.
10.
go back to reference Sheeran P, Webb TL. The Intention-Behavior Gap. Soc Pers Psychol Compass. 2016;10:503–18.CrossRef Sheeran P, Webb TL. The Intention-Behavior Gap. Soc Pers Psychol Compass. 2016;10:503–18.CrossRef
11.
go back to reference Bandura A. Self-efficacy: The exercise of control. New York, NY, US: Freeman. 1997. Bandura A. Self-efficacy: The exercise of control. New York, NY, US: Freeman. 1997.
12.
go back to reference Zhang C-Q, Zhang R, Schwarzer R, Hagger MS. A meta-analysis of the health action process approach. Health Psychol. 2019;38:623–37.CrossRef Zhang C-Q, Zhang R, Schwarzer R, Hagger MS. A meta-analysis of the health action process approach. Health Psychol. 2019;38:623–37.CrossRef
13.
go back to reference Presseau J, Schwalm JD, Grimshaw JM, et al. Identifying determinants of medication adherence following myocardial infarction using the Theoretical Domains Framework and the Health Action Process Approach. Psychol Health. 2017;32:1176–94.CrossRef Presseau J, Schwalm JD, Grimshaw JM, et al. Identifying determinants of medication adherence following myocardial infarction using the Theoretical Domains Framework and the Health Action Process Approach. Psychol Health. 2017;32:1176–94.CrossRef
14.
go back to reference Hamaker EL. Why researchers should think within-person: A paradigmatic rationale. In: Mehl MR, Conner TS, editors. Handbook of research methods for studying daily life. New York, NY, US: Guilford Press. 2012. 43–61. Hamaker EL. Why researchers should think within-person: A paradigmatic rationale. In: Mehl MR, Conner TS, editors. Handbook of research methods for studying daily life. New York, NY, US: Guilford Press. 2012. 43–61.
15.
go back to reference Bolger N, Laurenceau J-P. Intensive longitudinal methods: An introduction to diary and experience sampling research. New York, NY, US: Guilford Press. 2013. Bolger N, Laurenceau J-P. Intensive longitudinal methods: An introduction to diary and experience sampling research. New York, NY, US: Guilford Press. 2013.
16.
go back to reference Filler A, Kowatsch T, Haug S, Wahle F, Staake T, Fleisch E, MobileCoach: A novel open source platform for the design of evidence-based, scalable and low-cost behavioral health interventions: Overview and preliminary evaluation in the public health context. In Wireless Telecommunications Symposium (WTS). IEEE. 2015;2015–2015:1–6. Filler A, Kowatsch T, Haug S, Wahle F, Staake T, Fleisch E, MobileCoach: A novel open source platform for the design of evidence-based, scalable and low-cost behavioral health interventions: Overview and preliminary evaluation in the public health context. In Wireless Telecommunications Symposium (WTS). IEEE. 2015;2015–2015:1–6.
17.
go back to reference Kowatsch T, Volland D, Shih I, et al. Design and Evaluation of a Mobile Chat App for the Open Source Behavioral Health Intervention Platform MobileCoach. In: Maedche A, vom Brocke J, Hevner A, editors et al. Designing the Digital Transformation. Cham: Springer International Publishing. 2017;485–9.CrossRef Kowatsch T, Volland D, Shih I, et al. Design and Evaluation of a Mobile Chat App for the Open Source Behavioral Health Intervention Platform MobileCoach. In: Maedche A, vom Brocke J, Hevner A, editors et al. Designing the Digital Transformation. Cham: Springer International Publishing. 2017;485–9.CrossRef
18.
go back to reference Bierbauer W, Inauen J, Schaefer S, et al. Health Behavior Change in Older Adults: Testing the Health Action Process Approach at the Inter- and Intraindividual Level. Appl Psychol Health Well-Being. 2017;43:1575. Bierbauer W, Inauen J, Schaefer S, et al. Health Behavior Change in Older Adults: Testing the Health Action Process Approach at the Inter- and Intraindividual Level. Appl Psychol Health Well-Being. 2017;43:1575.
19.
go back to reference Ochsner S, Scholz U, Hornung R. Testing Phase-specific Self-efficacy Beliefs in the Context of Dietary Behavior Change. Appl Psychol Health Well Being. 2013;5:99–117.CrossRef Ochsner S, Scholz U, Hornung R. Testing Phase-specific Self-efficacy Beliefs in the Context of Dietary Behavior Change. Appl Psychol Health Well Being. 2013;5:99–117.CrossRef
20.
go back to reference Inauen J, Bierbauer W, Luscher J, et al. Assessing adherence to multiple medications and in daily life among patients with multimorbidity. Psychology & Health. 2017;1–16. Inauen J, Bierbauer W, Luscher J, et al. Assessing adherence to multiple medications and in daily life among patients with multimorbidity. Psychology & Health. 2017;1–16.
21.
go back to reference Haberer JE, Kahane J, Kigozi I, et al. Real-time adherence monitoring for HIV antiretroviral therapy. AIDS Behav. 2010;14:1340–6.CrossRef Haberer JE, Kahane J, Kigozi I, et al. Real-time adherence monitoring for HIV antiretroviral therapy. AIDS Behav. 2010;14:1340–6.CrossRef
22.
go back to reference Liu S, Rovine MJ, Molenaar PCM. Selecting a linear mixed model for longitudinal data: repeated measures analysis of variance, covariance pattern model, and growth curve approaches. Psychol Methods. 2012;17:15–30.CrossRef Liu S, Rovine MJ, Molenaar PCM. Selecting a linear mixed model for longitudinal data: repeated measures analysis of variance, covariance pattern model, and growth curve approaches. Psychol Methods. 2012;17:15–30.CrossRef
23.
go back to reference Barr DJ, Levy R, Scheepers C, Tily HJ. Random effects structure for confirmatory hypothesis testing: Keep it maximal. J Mem Lang. 2013;68:255–78.CrossRef Barr DJ, Levy R, Scheepers C, Tily HJ. Random effects structure for confirmatory hypothesis testing: Keep it maximal. J Mem Lang. 2013;68:255–78.CrossRef
24.
go back to reference Graham JW. Missing Data Analysis: Making It Work in the Real World. Annu Rev Psychol. 2009;60:549–76.CrossRef Graham JW. Missing Data Analysis: Making It Work in the Real World. Annu Rev Psychol. 2009;60:549–76.CrossRef
25.
go back to reference Erler NS, Rizopoulos D, Lesaffre EMEH. Joint AI: Joint Analysis and Imputation of Incomplete Data in R. J Stat Soft 2021;100. Erler NS, Rizopoulos D, Lesaffre EMEH. Joint AI: Joint Analysis and Imputation of Incomplete Data in R. J Stat Soft 2021;100.
26.
go back to reference Austin PC, Brunner LJ. Type I Error Inflation in the Presence of a Ceiling Effect. Am Stat. 2003;57:97–104.CrossRef Austin PC, Brunner LJ. Type I Error Inflation in the Presence of a Ceiling Effect. Am Stat. 2003;57:97–104.CrossRef
27.
go back to reference Kreft I, DeLeeuw J. Introducing multivlevel modeling. Thousand Oaks, CA, US: Sage Publications, Inc; 1998.CrossRef Kreft I, DeLeeuw J. Introducing multivlevel modeling. Thousand Oaks, CA, US: Sage Publications, Inc; 1998.CrossRef
28.
go back to reference Musca SC, Kamiejski R, Nugier A, Méot A, Er-Rafiy A, Brauer M. Data with hierarchical structure: impact of intraclass correlation and sample size on type-I error. Front Psychol. 2011;2:74.CrossRef Musca SC, Kamiejski R, Nugier A, Méot A, Er-Rafiy A, Brauer M. Data with hierarchical structure: impact of intraclass correlation and sample size on type-I error. Front Psychol. 2011;2:74.CrossRef
29.
go back to reference Bakdash JZ, Marusich LR. Repeated Measures Correlation Frontiers in psychology. 2017;8:456. Bakdash JZ, Marusich LR. Repeated Measures Correlation Frontiers in psychology. 2017;8:456.
30.
go back to reference Hagger MS, Hardcastle SJ, Hu M, et al. Effects of medication, treatment, and behavioral beliefs on intentions to take medication in patients with familial hypercholesterolemia. Atherosclerosis. 2018;277:493–501.CrossRef Hagger MS, Hardcastle SJ, Hu M, et al. Effects of medication, treatment, and behavioral beliefs on intentions to take medication in patients with familial hypercholesterolemia. Atherosclerosis. 2018;277:493–501.CrossRef
31.
go back to reference Roth GA, Morden NE, Zhou W, Malenka DJ, Skinner J. Clopidogrel use and early outcomes among older patients receiving a drug-eluting coronary artery stent. Circ Cardiovasc Qual Outcomes. 2012;5:103–12.CrossRef Roth GA, Morden NE, Zhou W, Malenka DJ, Skinner J. Clopidogrel use and early outcomes among older patients receiving a drug-eluting coronary artery stent. Circ Cardiovasc Qual Outcomes. 2012;5:103–12.CrossRef
32.
go back to reference Durand H, Hayes P, Morrissey EC, et al. Medication adherence among patients with apparent treatment-resistant hypertension: systematic review and meta-analysis. J Hypertens. 2017;35:2346–57.CrossRef Durand H, Hayes P, Morrissey EC, et al. Medication adherence among patients with apparent treatment-resistant hypertension: systematic review and meta-analysis. J Hypertens. 2017;35:2346–57.CrossRef
33.
go back to reference Park HY, Seo SA, Yoo H, Lee K. Medication adherence and beliefs about medication in elderly patients living alone with chronic diseases. Patient Prefer Adherence. 2018;12:175–81.CrossRef Park HY, Seo SA, Yoo H, Lee K. Medication adherence and beliefs about medication in elderly patients living alone with chronic diseases. Patient Prefer Adherence. 2018;12:175–81.CrossRef
34.
go back to reference Scholz U. It’s Time to Think about Time in Health Psychology. Appl Psychol Health Well Being. 2019;11:173–86.CrossRef Scholz U. It’s Time to Think about Time in Health Psychology. Appl Psychol Health Well Being. 2019;11:173–86.CrossRef
Metadata
Title
Implementation of a Novel Medication Regimen Following Cardiac Rehabilitation: an Application of the Health Action Process Approach
Authors
Walter Bierbauer
Tania Bermudez
Artur Bernardo
Ruth Fleisch-Silvestri
Matthias Hermann
Jean-Paul Schmid
Tobias Kowatsch
Urte Scholz
Publication date
22-02-2022
Publisher
Springer US
Published in
International Journal of Behavioral Medicine / Issue 1/2023
Print ISSN: 1070-5503
Electronic ISSN: 1532-7558
DOI
https://doi.org/10.1007/s12529-022-10067-9

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