Evidence map›Paper›PMID 42393632›Full record

ArticleBMC medical informatics and decision making2026

Shared decision-making and medication adherence among community adults with chronic diseases: a cross-sectional study in Hubei Province, China.

Da Feng, Zhe Jin, Jian Zou, Zhongxin Dong, Qiao Zong, Yangfan Sun, Chengxu Long, Zhanchun Feng

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Article in BMC medical informatics and decision making, 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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5 · Who and what money

Authors and funding

8 authors.

Da FengSchool of Pharmacy, Tongji Medical College of Huazhong, University of Science and Technology, Wuhan, China.
Zhe JinSchool of Pharmacy, Tongji Medical College of Huazhong, University of Science and Technology, Wuhan, China.
Jian ZouDepartment of Pharmacy, Taikang Tongji (Wuhan) Hospital, Wuhan, Hubei Province, 430050, China.
Zhongxin DongScientific Research Department, Tongji Medical College, Traditional Chinese and Western Medicine Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, China.
Qiao ZongSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Yangfan SunWenlan School of Business, Zhongnan University of Economics and Law, Wuhan, China.
Chengxu LongSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China. chengxulong@hust.edu.cn.
Zhanchun FengSchool of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China. zcfeng@hust.edu.cn.

Funding

National Key Research and Development Program 2020YFC2006500National Natural Science Foundation of China 72274071
6 · The paper itself

Abstract

backgroundShared decision-making has been shown to improve self-management of chronic diseases, however whether it improves the medication adherence of chronic disease patients and the magnitude of the effect remains unclear. Therefore, our objective was to evaluate whether shared decision-making is associated with better adherence and to estimate the magnitude of this association.

methodsWe conducted a community-based cross-sectional questionnaire survey in four areas of Hubei, China (April-June 2021) using cluster sampling. Medication decision-making was assessed with the Control Preferences Scale-Post, and medication adherence with the 4-item Morisky Medication Adherence Scale (MMAS-4). We estimated associations using propensity-score weighting and logistic regression. We investigated three types of medication decision-making models: paternalistic model, shared decision-making model, and self-decision-making model. The predictor of interest in this study is the models of medication decision-making, and the dependent variable was patients' medication adherence. We applied the propensity score weighting approach to adjust for observed differences in characteristics between those with different types of medication decisions, and explored the association between medication decision-making and medication adherence through logistic regression.

resultsPatients with self-decision-making were less likely to be adherent to medication (OR = 0.33, 95%CI:0.27-0.41) compared to those with shared decision-making, and the corresponding marginal effect was - 0.278 (OR = 0.331, 95%CI: -0.292,-0.203). There was no significant difference in medication adherence between patients with shared decision-making and patients with a paternalistic model. Patients over 80 years old (OR = 2.19, 95%CI: 1.44-3.39), with two or more diseases (OR = 1.24, CI: 1.03-1.49), with high medication knowledge (OR = 1.32, 95%CI: 1.09-1.63), who have not experienced adverse drug reactions (OR = 1.89, 95%CI:1.53-2.33), or often visit non-primary medical institutions (OR = 1.93, 95%CI: 1.58-2.34) were more likely to be adherent to medication. While patients in bad health status (OR = 0.73, 95%CI: 0.61-0.87), who smoke (OR = 0.77, 95%CI: 0.60-0.99), seldom do exercise (OR = 0.83, 95%CI: 0.70-0.98), taking five or more medicines (OR = 0.63, 95%CI:0.51-0.78), have difficulty in taking medication (OR = 0.65, 95%CI: 0.48-0.86), seldom communicate with doctors (OR = 0.79, 95%CI: 0.64-0.95), and lack trust in doctors (OR = 0.79, 95%CI: 0.66-0.95) were less likely to be adherent to medication.

conclusionShared decision-making may be included in intervention measures designed to reduce non-adherence in patients with hypertension or diabetes in China.

Indexed as

Decision Making, SharedDrug MonitoringMedication AdherenceAdultAgedChinaChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesChronic diseasesMedication adherenceShared decision-making

Identifiers

PMID42393632
PMCPMC13599181

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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 OpenQuestion graph.