Evidence map›Paper›PMID 42008455›Full record

ArticlePloS one2026

Impact of complex medication regimens on adherence in multimorbidity senior citizen - Study from Nepal.

Poonam Pant, Sudip Pandey, Santosh Khadka, Anju Joshi, Sajan Maharjan

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Poonam PantPharmacy Program, CiST College, New Baneshwor, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-9822-3215
Sudip PandeyForest Biomaterials Program, Institute of Applied Science, Madan Bhandari University of Science and Technology, Chitlang, Bagmati Province, Nepal.
Santosh KhadkaPublic Health Program, CiST College, New Baneshwor, Kathmandu, Nepal.
Anju JoshiPharmacy Program, CiST College, New Baneshwor, Kathmandu, Nepal.
Sajan MaharjanPharmacy Program, CiST College, New Baneshwor, Kathmandu, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElderly individuals often experience multiple comorbidities, requiring the use of several pharmacological therapies to improve their quality of life and extend life expectancy. However, medication non-adherence is a common issue in this population, potentially leading to significant clinical complications and increased healthcare costs. This study aims to evaluate medication regimen complexity and adherence among senior citizens in Nepal. Specifically, it explores factors associated with medication complexity and adherence, and examines the relationship between the two variables in the elderly population.

methodsA cross-sectional descriptive study was conducted in selected wards of Chandragiri Municipality. Medication regimen complexity was assessed using the validated Medication Regimen Complexity Index (MRCI), while medication adherence was measured using Morisky Green Levine Adherence (MGLA) scale. Descriptive statistics (mean, standard deviation, frequency, and percentage) were used to summarize the data. Pearson's chi-square test and correlation analysis were applied to examine the associations between MRCI levels and medication adherence. Ordinal logistic regression analysis was used to determine the impact of MRCI and other associated variables on adherence. A p-value <0.05 was considered statistically significant, and results were reported using adjusted odds ratios (AOR) with 95% confidence intervals (CI).

resultsOut of 422 eligible participants, the majority of participants had a high MRCI score. A statistically significant association was found between MRCI and medication adherence (p < 0.05). Specific comorbidities, including diabetes mellitus, benign prostate hyperplasia (BPH), gastroesophageal reflux disease (GERD), thyroid disorder, chronic obstructive pulmonary disease (COPD), and coronary artery disease was significantly associated with increased MRCI scores. A weak positive correlation was observed between overall MRCI and adherence (r = 0.21), indicating a slight increase in adherence with increasing regimen complexity. Dosing frequency showed a strong correlation with MRCI (r = 0.92, p < 0.01) followed by total medication count, additional directions and dosage forms. In adjusted analysis, participants with higher MRCI level had significantly higher odds of non-adherence (AOR = 2.31, 95% CI: 1.03, 5.15). Additionally, individuals with ≥4 illnesses were more likely to be non-adherent (AOR = 3.82, 95% CI: 1.86-7.83) compared to those with two illnesses.

conclusionMost participants exhibited high medication regimen complexity, which negatively impacted adherence levels. These findings underscore the importance for healthcare providers to implement strategies aimed at simplifying medication regimens and supporting adherence, particularly among elderly individuals with multimorbidity.

Indexed as

Drug MonitoringMedication AdherenceMultimorbidityAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleNepalPolypharmacyQuality of Life

Identifiers

PMID42008455
PMCPMC13094964

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.