Literature DB >> 25773556

Predictors of self-reported adherence to antihypertensive medicines: a multinational, cross-sectional survey.

Valerie L Morrison1, Emily A F Holmes2, Sahdia Parveen1, Catrin O Plumpton2, Wendy Clyne3, Sabina De Geest4, Fabienne Dobbels4, Bernard Vrijens5, Przemyslaw Kardas6, Dyfrig A Hughes7.   

Abstract

BACKGROUND: Nonadherence to antihypertensive medicines limits their effectiveness, increases the risk of adverse health outcome, and is associated with significant health care costs. The multiple causes of nonadherence differ both within and between patients and are influenced by patients' care settings.
OBJECTIVES: The objective of this article was to identify determinants of patient nonadherence to antihypertensive medicines, drawing from psychosocial and economic models of behavior.
METHODS: Outpatients with hypertension from Austria, Belgium, England, Germany, Greece, Hungary, The Netherlands, Poland, and Wales were recruited to a cross-sectional online survey. Nonadherence to medicines was assessed using the Morisky Medication Adherence Scale (primary outcome) and the Medication Adherence Rating Scale. Associations with adherence and nonadherence were tested for demographic, clinical, and psychosocial factors.
RESULTS: A total of 2595 patients completed the questionnaire. The percentage of patients classed as nonadherent ranged from 24% in The Netherlands to 70% in Hungary. Low age, low self-efficacy, and respondents' perceptions of their illness and cost-related barriers were associated with nonadherence measured on the Morisky Medication Adherence Scale across several countries. In multilevel, multivariate analysis, low self-efficacy (odds ratio = 0.73; 95% confidence interval 0.70-0.77) and a high number of perceived barriers to taking medicines (odds ratio = 1.70; 95% confidence interval 1.38-2.09) were the main significant determinants of nonadherence. Country differences explained 11% of the variance in nonadherence.
CONCLUSIONS: Among the variables measured, patients' adherence to antihypertensive medicines is influenced primarily by their self-efficacy, illness beliefs, and perceived barriers. These should be targets for interventions for improving adherence, as should an appreciation of differences among the countries in which they are being delivered.
Copyright © 2015 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  adherence; behavioral economics; health psychology; hypertension; self-efficacy

Mesh:

Substances:

Year:  2015        PMID: 25773556     DOI: 10.1016/j.jval.2014.12.013

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  27 in total

Review 1.  Factors associated with antihypertensive medication non-adherence: a systematic review.

Authors:  D M van der Laan; P J M Elders; C C L M Boons; J J Beckeringh; G Nijpels; J G Hugtenburg
Journal:  J Hum Hypertens       Date:  2017-06-29       Impact factor: 3.012

2.  Health Facts Medication Adherence in Transplantation (H-MAT) Study: A Secondary Analysis of Determinants and Outcomes of Medication Nonadherence in Adult Kidney Transplant Recipients.

Authors:  Cynthia L Russell; Heather J Gotham; An-Lin Cheng; Suman Sahil; Preethi Yerram
Journal:  Int J Nephrol       Date:  2022-06-10

3.  What influences persistence with medicines? A multinational discrete choice experiment of 2549 patients.

Authors:  Emily A F Holmes; Valerie L Morrison; Dyfrig A Hughes
Journal:  Br J Clin Pharmacol       Date:  2016-05-18       Impact factor: 4.335

4.  "My patients are better than yours": optimistic bias about patients' medication adherence by European health care professionals.

Authors:  Wendy Clyne; Sarah McLachlan; Comfort Mshelia; Peter Jones; Sabina De Geest; Todd Ruppar; Kaat Siebens; Fabienne Dobbels; Przemyslaw Kardas
Journal:  Patient Prefer Adherence       Date:  2016-09-26       Impact factor: 2.711

5.  Validated adherence scales used in a measurement-guided medication management approach to target and tailor a medication adherence intervention: a randomised controlled trial.

Authors:  Thi-My-Uyen Nguyen; Adam La Caze; Neil Cottrell
Journal:  BMJ Open       Date:  2016-11-30       Impact factor: 2.692

6.  Nonadherence to Antihypertensive Medication Among Hypertensive Adults in the United States─HealthStyles, 2010.

Authors:  Xin Tong; Elizabeth K Chu; Jing Fang; Hilary K Wall; Carma Ayala
Journal:  J Clin Hypertens (Greenwich)       Date:  2016-02-03       Impact factor: 3.738

7.  Assessing forgetfulness and polypharmacy and their impact on health-related quality of life among patients with hypertension and dyslipidemia in Greece during the COVID-19 pandemic.

Authors:  Kyriakos Souliotis; Theodoros V Giannouchos; Chistina Golna; Evangelos Liberopoulos
Journal:  Qual Life Res       Date:  2021-06-22       Impact factor: 3.440

8.  Multiple imputation of multiple multi-item scales when a full imputation model is infeasible.

Authors:  Catrin O Plumpton; Tim Morris; Dyfrig A Hughes; Ian R White
Journal:  BMC Res Notes       Date:  2016-01-26

9.  The effectiveness of daily SMS reminders in pharmaceutical care of older adults on improving patients' adherence to antihypertensive medication (SPPA): study protocol for a randomized controlled trial.

Authors:  Zuzana Haramiova; Michal Stasko; Martin Hulin; Tomas Tesar; Magdalena Kuzelova; Donald M Morisky
Journal:  Trials       Date:  2017-07-18       Impact factor: 2.279

10.  Understanding barriers to medication, dietary, and lifestyle treatments prescribed in polycystic kidney disease.

Authors:  Wen-Ching Tran; David Huynh; Tea Chan; Catherine A Chesla; Meyeon Park
Journal:  BMC Nephrol       Date:  2017-07-05       Impact factor: 2.388

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