Evidence map›Paper›PMID 42729995›Full record

ArticlePatient preference and adherence2026

Latent Class Analysis of Medication Adherence and Its Influencing Factors Among Rural Hypertensive Patients in Shanxi Province, China.

Wenhua Sun, Ruifeng Liang, Jiawei Liu, Siyi Li, Jue Wang

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Article in Patient preference and adherence, 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

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5 authors.

Wenhua Sun *Department of Environmental Health, School of Public Health, Shanxi Medical University, Jinzhong, Shanxi, People's Republic of China.
Ruifeng Liang *Department of Environmental Health, School of Public Health, Shanxi Medical University, Jinzhong, Shanxi, People's Republic of China.
Jiawei LiuDepartment of Environmental Health, School of Public Health, Shanxi Medical University, Jinzhong, Shanxi, People's Republic of China.
Siyi LiDepartment of Environmental Health, School of Public Health, Shanxi Medical University, Jinzhong, Shanxi, People's Republic of China.
Jue WangDepartment of Environmental Health, School of Public Health, Shanxi Medical University, Jinzhong, Shanxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To establish latent classes of medication adherence and related influencing factors of hypertensive patients residing in rural areas of Shanxi Province as references to improve medication adherence. Patients and Methods: Patients diagnosed with primary hypertension were randomly selected from three counties in Shanxi Province from May to July 2024 using a multistage cluster random sampling method. Patient data were collected using a questionnaire that captured basic demographic information, medication knowledge, medication beliefs, and medication adherence. Latent class analysis (LCA) was employed to differentiate medication adherence patterns among the participants. Univariate and multinomial logistic regression analyses were conducted to compare socio-demographic characteristics, medication usage, medication-related knowledge, and medication beliefs in order to identify significant predictors across medication adherence classes. Results: LCA identified three distinct subtypes of medication adherence among hypertensive patients (n = 739) in rural Shanxi Province: high (58.3%), low (19.8%), and forgetful (21.9%). The entropy value of 0.910 indicated excellent classification quality. Multinomial logistic regression analysis indicated that patients with no/mild/moderate burden of hypertension treatment and mild depression were more likely to be assigned to the low medication adherence group. Conversely, higher self-efficacy scores were positively associated with categorization into the high medication adherence group ( Conclusion: Medication adherence among hypertensive patients residing in rural areas can be categorized into three main types (high, low, and forgetful) and five primary influencing factors were identified (sex, treatment burden, depressive mood, medication knowledge, and self-efficacy). Enhancing family support, improving medication-related knowledge, and strengthening self-efficacy can effectively improve medication adherence of hypertensive patients.

Indexed as

hypertensionLCAmedication adherencerural areas

Identifiers

PMID42729995
PMCPMC13564455

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