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Systematic review of the barriers affecting medication adherence in older adults
Abstract
Medication adherence is a crucial part in the management of chronic diseases. As older adults form a greater proportion of the population with chronic diseases and multiple morbidities, understanding medication adherence in older adults becomes important. In the present article, we aimed to systematically review the literature for the factors associated with medication adherence in the geriatric population. We carried out a literature search using electronic databases and related keywords. 17 391 articles were reviewed in total. 65 articles were found to be relevant to our objective. A total of 80 factors of five different categories were found to be associated with medication adherence in older adults. The factors, the types of studies and the number of studies that agreed or disagreed were presented. A flower model for medication adherence was also presented to allow clinicians to better understand the complex nature of medication adherence in this population. The 80 factors reviewed were categorized into five main categories; namely, patient factors, medication factors, physician factors, system-based factors and other factors as factors affecting poor medication adherence in older adults. Clinicians need to be mindful of the complex nature of factors affecting medication adherence in this population to optimize therapeutic outcomes. Clinicians have to be more skillful to discover and to optimize the medication adherence factors in geriatric patients. The flower model is p…
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“This highlights the complex nature of medication adherence, which is influenced by numerous factors, including patient characteristics, medication-related issues, physician practices, and system-based factors.58”
From Interventions to improve adherence to lipid-lowering drugs: a systematic review and meta-analysis (2025) · cites this paper as [58]
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Kronik Hastalığı Olan Yaşlı Bireylerde İlaç İnancının ve Tedaviye Uyumun Değerlendirilmesi
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“Therefore, our network analysis was able to detect commonly identified influential factors for nonadherence, namely taking too many medications, adverse effects and lack of knowledge.(2) The edge betweenness centrality refers to the edges that represent a bridge-like connector between two parts of a network.”
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Assessing Accessibility of Health Care for the Oldest Old
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“29,30 In our study, the majority appear to have an MMSE assessment that would suggest mild or moderate dementia despite a CDR of 0.5.”
InfluentialSchönenberg, A., Mendorf, S., & Prell, T. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1462478 · Cited by 1
“This again points to the strong influence of depressive symptoms on both nonadherence and HRQoL (9, 12).”
InfluentialLi, J., Steinberg, J., Mynatt, E. D., & Mishra, V. (2024) · arXiv.org · doi:10.48550/arxiv.2408.07784 · Cited by 1
“Most prior works on medication management strategies focused on older adults [14, 61] and individuals with disabilities [53], often categorizing younger populations as ‘healthier.”
BackgroundHe, T., Wang, H., Sun, W., Li, L.-T., Li, L., & Ji, C. (2024) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1155/2024/5518977 · Cited by 1
Estimating Type 2 Diabetes Prevalence: A Model of Drug Consumption Data
Oliveira, R., Monteiro-Soares, M., Guerreiro, J., Pereira, R., & Teixeira-Rodrigues, A. (2024) · Pharmacy · doi:10.3390/pharmacy12010018 · Cited by 1
“Pasina et al. obtained a non-adherence rate reported (n = 100) in 55.1% of the patients at the first follow-up and 69.6% 3 months from hospital discharge in elderly patients receiving polypharmacy, confirming that age is a predictor of increased non-adherence [53,54].”
BackgroundInfluentialThomasius, F., Siggelkow, H., & Obermayer-Pietsch, B. (2023) · Osteologie/Osteology · doi:10.1055/a-2270-3406 · Cited by 1
“…werden und betreffen individuelle Grundvoraussetzun - gen des Patienten/der Patientin (wie geringe kognitive Funktion, Depression und eigene Überzeugung zu den Medikamenten), die Arzt-Patient Kommunikation, Grad der Umsorgung und andere Faktoren wie Vorhandensein einer Betreuungsperson [3].”
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“Accordingly, a great effort has been devoted to enlightening the factors that affect the adherence of patients with chronic illnesses and several dozens of factors have been highlighted, categorized as either patient factors, therapy factors, clinical condition factors, healthcare system factors, or socio-economic fac…”
BackgroundMostert, C., Ginkel, J. D. D. M.-V., van Dijk, M., & Ista, E. (2023) · JBI evidence implementation · doi:10.1097/xeb.0000000000000366 · Cited by 1
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The complex issue of medication management in older persons: a challenge for nurses
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“In general, adherence patterns may vary depending on the underlying diagnosis [36–38], as different diagnoses may come with varying levels of chronicity, restrictions and burden [9].”
BackgroundGuidelines for Medication Education for Occupational Therapists
Schwartz, J. K. (2022) · The Open Journal of Occupational Therapy · doi:10.15453/2168-6408.1851 · Cited by 3
“While there are many reasons that people fail to take their medications, lack of medication knowledge is one factor known to impact medication adherence (Yap et al., 2016).”
Bezerra, Y. M., Pereira, I. D. S., Sarubbi, R. D., Viana, A. B., & Quidute, A. (2021) · Revista Brasileira de Educação Médica · doi:10.1590/1981-5271v45.3-20210026.ing · Cited by 1
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“Medication adherence is a crucial part of chronic disease management [1].”
Background[Obesity hypoventilation syndrome and initial compliance with non-invasive ventilation].
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Adhärenz bei älteren Patienten
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Medication Management in Older Adults with Dementia
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Good, S. D., England, B. R., & Volkmann, E. R. (2026) · Journal of Personalized Medicine · doi:10.3390/jpm16100524
“Prior studies have identified that overall health and health-related quality of life are associated with general non-adherence [40–42].”
Vafaei, A., Ghorbani, R., Zarvani, P., & Nobahar, M. (2026) · Vascular Health and Risk Management · doi:10.2147/vhrm.s646427
“30 33 However, treatment adherence remains challenging for both patients and healthcare providers.”
Mejia, P. C. G., & Nguyễn, C. V. (2026) · International Journal of Drug Delivery Technology · doi:10.25258/ijddt.16.7.145
“Health care factors play an interestingly important role in patient’s adherence to medications (22).”
InfluentialRamadhanty, Z. T., Sitorus, D. W. A., Nilamsari, W., Susilo, H., Alsagaff, M. Y., Hamidah, K. F., Tan, C.-S., & Sunaidar, K. A. A. A. (2026) · JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA · doi:10.20473/jfiki.v13i22026.263-276
Yaşlılarda ilaç uyumunun geliştirilmesine yönelik stratejiler
Mete, S., & Özdil, K. (2026) · Mersin Üniversitesi Sağlık Bilimleri Dergisi · doi:10.26559/mersinsbd.1836626
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“…and cultural determinants (income, place of residence); patients (sex, gender-related factors, beliefs, educational attainment); the disease (symptoms); therapy (polypharmacy, perceived side effects); and the health system (communication, trust) (Gagnon et al., 2017; Yap et al., 2016).”
Digital Health Interventions to Improve Medication Adherence Among Older Adults: A Systematic Review
Haile, K., Shahin, W., Gebreyohannes, E., Yabeyu, A. B., Hareem, A., Kalayou, M. H., Yi, X., & Wang, K. N. (2026) · Australasian Journal on Ageing · doi:10.1111/ajag.70206
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Subashi, B., Kamberi, F., & Kokalla, E. (2026) · Healthcare · doi:10.3390/healthcare14142058
“As highlighted in a systematic review by Yap et al. (2016), polypharmacy and complex therapeutic regimens can significantly reduce adherence among older adults with MM [26].”
Small-Molecule Strategies for Polymyalgia Rheumatica and Giant Cell Arteritis in Older Adults
Kurdybacha, J., Kravets, O., Lekston, N., Kotyla, K., Gumkowska-Sroka, O., & Kotyla, P. (2026) · Molecules · doi:10.3390/molecules31132218
“Consequently, shared decision-making (SDM) involving both patients and their caregivers should form an integral part of treatment planning, enabling personalized care and an optimal balance between clinical benefits and treatment burden [94,95].”
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“Studies from India, Pakistan, and Sri Lanka have reported differing prevalence rates of multimorbidity, ranging from 10% to 45% among adults [3].”
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“Variables identified as mediator-outcome confounders were informed by the intersection between the literature on factors which influence adherence to medication [15–18] and predictors of walk speed amongst older adults, and by discussions with an expert (MDW).”
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Metadata
- Authors
- Yap, A. F., Thirumoorthy, T., & Kwan, Y. H.
- Affiliations
- Duke-NUS Medical School (SG)
- Corresponding author
- Kwan, Yu Heng
- ORCID
- Kwan, Yu Heng
- Venue
- Geriatrics & Gerontology International
- Publisher
- Wiley
- Published
- 2015-10-20
- Volume
- 16
- Issue
- 10
- Pages
- 1093-1101
- ISSN
- 1444-1586 (ISSN-L)
- 1447-0594
- OpenAlex
- W2116716283
- Cited by
- 308
- References
- 0
- Citations by year
- 2026: 20 · 2025: 25 · 2024: 35 · 2023: 40 · 2022: 63 · 2021: 41 · 2020: 24 · 2019: 22 · 2018: 23 · 2017: 11 · 2016: 3
- FWCI
- 2.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Geriatrics and gerontology international/Geriatrics & gerontology international (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Health Sciences › Health Professions › Pharmacy › Pharmacy and Medical Practices
- Keywords
- medication adherence, older adults, barriers to adherence, chronic disease management, patient factors, physician characteristics, elderly patients
- MeSH terms
- Aged, Aged, 80 and over, Chronic Disease, Cognition Disorders, Dementia, Humans, Socioeconomic Factors, Geriatric Assessment, Incidence, Drug Monitoring, Risk Assessment, Needs Assessment, Medication Adherence
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