Evidence map›Paper›PMID 41613067›Full record

ArticleFrontiers in public health2025

Medication literacy among patients with chronic diseases in long-term care facilities: a latent profile analysis.

Qiongyao Feng, Qiu Yang, Yingchao Guo, Jinfeng Jiang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

4 authors.

Qiongyao Feng *Nursing Department, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Qiu Yang *Department of Endocrinology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Yingchao GuoNursing Department, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Jinfeng JiangNursing Department, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to examine the potential medication literacy profiles of patients with chronic diseases in long-term care facilities and to analyze the influencing factors, thereby providing a basis for developing targeted intervention programs. Methods: This study conducted a cross-sectional study among 403 older patients with chronic diseases in 41 long-term care facilities in Nanchong City, China, from January to April 2025. Latent profile analysis was conducted using the 23 items of the older adults chronic disease medication literacy scale as manifest variables, followed by multinomial logistic regression to analyze the influencing factors. Results: Three distinct medication literacy profiles were identified: high medication literacy with active communication and interaction (30.3%), moderate medication literacy with passive dependence (47.4%), and low medication literacy with limited information acquisition (22.3%). Multinomial logistic regression analysis revealed that educational level, pension status, frequency of health checkups, staff attention, self-assessment of medication effectiveness, perceived social support, and self-efficacy for appropriate medication use significantly influenced the medication literacy categories. Conclusion: The overall medication literacy of patients with chronic diseases in long-term care facilities is above average; however, significant individual differences remain. Clinical staff and institutional caregivers should develop and implement targeted interventions based on influencing factors to enhance medication literacy.

Indexed as

Health LiteracyLong-Term CareNursing HomesAgedAged, 80 and overChinaChronic DiseaseCross-Sectional StudiesFemaleHumansMalechronic diseaselatent profile analysislong-term care facilitymedication literacythe older

Identifiers

PMID41613067
PMCPMC12846932

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