Literature DB >> 24566876

Intentional non-adherence to medications by older adults.

Omar Mukhtar1, John Weinman, Stephen H D Jackson.   

Abstract

'The extent to which an individual's medication-taking behaviour and/or execution of lifestyle changes, corresponds with agreed recommendations from a healthcare provider', is a highly complex behaviour, defined as adherence. However, intentional non-adherence is regularly observed and results in negative outcomes for patients along with increased healthcare provision costs. Whilst this is a consistent issue amongst adults of all ages, the burden of chronic disease is greatest amongst older adults. As a result, the absolute prevalence of intentional non-adherence is increased in this population. This non-systematic review of intentional non-adherence to medication highlights the extent of the problem amongst older adults. It notes that age, per se, is not a contributory factor in intentionally non-adherent behaviours. Moreover, it describes the difference in methodology required to identify such behaviours in contrast to reports of non-adherence in general: the use of focus groups, semi-structured, one-to-one interviews and questionnaires as opposed to pill counts, electronic medication monitors and analysis of prescription refill rates. Using Leventhal's Common-Sense Model of Self-Regulation, it emphasizes six key factors that may contribute to intentional non-adherence amongst older adults: illness beliefs, the perceived risks (e.g. dependence, adverse effects), benefits and necessity of potential treatments, the patient-practitioner relationship, inter-current physical and mental illnesses, financial constraints and pharmaceutical/pharmacological issues (poly-pharmacy/regimen complexity). It describes the current evidence for each of these aspects and notes the paucity of data validating Leventhal's model in this regard. It also reports on interventions that may address these issues and explicitly acknowledges the lack of evidence-based interventions available to healthcare practitioners. As a result, it highlights five key areas that require urgent research amongst older adults: (1) the overlap between intentional and unintentional non-adherence, particularly amongst those who may be frail or isolated; (2) the potential correlation between symptomatic benefit and intentional vs. unintentional non-adherence to medication; (3) an evaluation of the source of prescribing (i.e. a long-standing provider vs. an acute episode of care) and the patient-prescriber relationship as determinants of intentional and unintentional non-adherence; (4) the decision-making processes leading to selective intentional non-adherence amongst older adults with multiple medical problems; and (5) the development and evaluation of interventions designed to reduce intentional non-adherence, specifically addressing each of the aspects listed above.

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Mesh:

Year:  2014        PMID: 24566876     DOI: 10.1007/s40266-014-0153-9

Source DB:  PubMed          Journal:  Drugs Aging        ISSN: 1170-229X            Impact factor:   3.923


  72 in total

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7.  Comparison of individual perceptions of medication costs and benefits between intentional and unintentional medication non-adherence among Japanese patients.

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Journal:  Patient Educ Couns       Date:  2008-02

8.  Nonadherence and osteoporosis treatment preferences of older women: a qualitative study.

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Journal:  J Womens Health (Larchmt)       Date:  2003-12       Impact factor: 2.681

9.  Just keep taking the tablets: adherence to antidepressant treatment in older people in primary care.

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10.  Non-compliance in elderly people: evaluation of risk factors by longitudinal data analysis.

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Journal:  Pharm World Sci       Date:  1996-04
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  32 in total

1.  Comparison of Student and Patient Perceptions for Medication Non-adherence.

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Journal:  Am J Pharm Educ       Date:  2018-11       Impact factor: 2.047

2.  Mapping of drug-related problems among older adults conciliating medical and pharmaceutical approaches.

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Journal:  Eur Geriatr Med       Date:  2021-03-20       Impact factor: 1.710

Review 3.  Can drugs work in patients who do not take them? The problem of non-adherence in resistant hypertension.

Authors:  Marcel Ruzicka; Swapnil Hiremath
Journal:  Curr Hypertens Rep       Date:  2015-09       Impact factor: 5.369

4.  Factors related to barriers and medication adherence in patients with type 2 diabetes mellitus: a cross-sectional study.

Authors:  Elida Zairina; Gesnita Nugraheni; Arie Sulistyarini; Catur Dian Setiawan; Sunil Kripalani; Safira Indah Lestari
Journal:  J Diabetes Metab Disord       Date:  2022-01-29

5.  Identifying Patterns of Self-Reported Nonadherence Using Network Analysis in a Mixed German Cohort.

Authors:  Tino Prell; Gabriele Helga Franke; Melanie Jagla-Franke; Aline Schönenberg
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6.  Cardiac rehabilitation for older adults: current evidence and future potential.

Authors:  Maha A Alfaraidhy; Claire Regan; Daniel E Forman
Journal:  Expert Rev Cardiovasc Ther       Date:  2022-02-13

Review 7.  A Systematic Review of Beliefs About Hypertension and its Treatment Among African Americans.

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Journal:  Curr Hypertens Rep       Date:  2016-07       Impact factor: 5.369

8.  Factors Influencing Non-Persistence with Antiplatelet Medications in Elderly Patients After Ischaemic Stroke.

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Journal:  Drugs Aging       Date:  2016-05       Impact factor: 3.923

9.  Intentional and unintentional medication non-adherence in African Americans: Insights from the Jackson Heart Study.

Authors:  Robert J Mentz; Melissa A Greiner; Paul Muntner; Daichi Shimbo; Mario Sims; Tanya M Spruill; Benjamin F Banahan; Wei Wang; Stanford Mwasongwe; Karen Winters; Adolfo Correa; Lesley H Curtis; Emily C O'Brien
Journal:  Am Heart J       Date:  2018-03-12       Impact factor: 4.749

Review 10.  Interventional tools to improve medication adherence: review of literature.

Authors:  Elísio Costa; Anna Giardini; Magda Savin; Enrica Menditto; Elaine Lehane; Olga Laosa; Sergio Pecorelli; Alessandro Monaco; Alessandra Marengoni
Journal:  Patient Prefer Adherence       Date:  2015-09-14       Impact factor: 2.711

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