Evidence map›Paper›PMID 41857863›Full record

ArticleBMJ open2026

Latent profile analysis and influencing factors of engagement in medication safety among older adults with cardiometabolic multimorbidity: a cross-sectional study.

Caiyan Liu, Jinghao Chen, Ran Jin, Jingyu Li, Mengjiao Cui, Fang Wang, Lu Chen

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Article in BMJ open, 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Caiyan LiuDepartment of Nursing, Nanjing Drum Tower Hospital, School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.ORCID http://orcid.org/0000-0003-1915-4598
Jinghao ChenShool of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.
Ran JinShool of Nursing, Nanjing Medical University, Nanjing, China.
Jingyu LiShool of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.
Mengjiao CuiShool of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.
Fang WangNanjing Drum Tower Hospital, Nanjing, China.
Lu ChenDepartment of Nursing, Nanjing Drum Tower Hospital, School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China chenlu2020@nju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to explore the latent profiles and influencing factors of engagement in medication safety among elderly patients with cardiometabolic multimorbidity.

designA cross-sectional study.

settingThe study was conducted at a class III hospital in Jiangsu, China.

participantsThe study included a sample of 316 older adult inpatients with cardiometabolic multimorbidity. OUTCOME MEASURES: Participants completed the Inpatients' Involvement in Medication Safety Scale and the Multimorbidity Treatment Burden Questionnaire. Latent profile and multivariate regression analyses were used to identify subgroups and their associated factors.

resultsLatent profile analysis identified three distinct profiles: 'passive participation' (22.47%), 'moderate participation' (52.53%) and 'active participation' (25.0%). Multivariate logistic regression revealed that occupational status, marital status, medical payment method, daily medication type and treatment burden were significant independent factors distinguishing among these profiles (p<0.05).

conclusionsThe study confirms significant heterogeneity in medication safety engagement among older adults with cardiometabolic multimorbidity. The identified profiles and their specific influencing factors provide a basis for clinicians to stratify patients and develop targeted interventions, particularly for the vulnerable 'passive participation' group, to improve medication safety outcomes.

Indexed as

Cardiovascular DiseasesDrug-Related Side Effects and Adverse ReactionsPatient ParticipationAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMultimorbiditySurveys and QuestionnairesAgedCardiovascular DiseaseCross-Sectional StudiesDrug TherapyMultimorbidityPatient Participation

Identifiers

PMID41857863
PMCPMC13007175

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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.