Evidence map›Paper›PMID 42136611›Full record

ArticleFrontiers in public health2026

Influencing factors and profile differences in death attitudes of advance care planning readiness among patients with chronic heart failure: a latent profile analysis.

Jian Lin, Mengying Yang, Ruijia Xu, Yunchao Deng, Ting Huang

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Article in Frontiers in public health, 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.

Jian LinDepartment of Cardiovascular Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mengying YangDepartment of Cardiovascular Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ruijia XuDepartment of Cardiovascular Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yunchao DengDepartment of Cardiovascular Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ting HuangDepartment of Cardiovascular Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

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6 · The paper itself

Abstract

Objective: A cross-sectional study was conducted in a tertiary A-level general hospital in Wuhan, China. The study aimed to explore the latent profiles of advance care planning (ACP) readiness among patients with chronic heart failure (CHF), analyze the influencing factors of different profiles, and compare the differences in death attitudes between profiles. Methods: From February to December 2025, a total of 313 CHF patients were recruited by convenience sampling from the Department of Cardiovascular Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology. The participants were investigated using a general information questionnaire, the ACP Readiness Scale, the Death Attitude Profile-Revised, and the Social Support Rating Scale. Latent profile analysis (LPA) was conducted using Mplus 8.3 to identify latent profiles of ACP readiness. Binary logistic regression was used to explore the influencing factors of profile membership, and the Bolck-Croon-Hagenaars (BCH) method was employed to compare differences in death attitudes between the latent profiles. Results: Two latent profiles of ACP readiness were identified: the "low ACP readiness" group (56.87%) and the "high ACP readiness" group (43.13%). Binary logistic regression showed that higher educational level, longer disease course, higher NYHA functional class, and greater social support were statistically significant positive predictors of belonging to the "high ACP readiness" group ( Conclusion: There is significant heterogeneity in ACP readiness among CHF patients. Educational level, disease course, NYHA functional class, and social support are important factors influencing profile membership. The two profiles differ significantly in fear of death, death avoidance, and natural acceptance. Healthcare providers should develop targeted intervention strategies based on the characteristics of different profiles and strengthen death education to enhance patients' ACP readiness.

Indexed as

Advance Care PlanningAttitude to DeathHeart FailureAgedAged, 80 and overChinaChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesadvance care planningchronic heart failuredeath attitudesinfluencing factorslatent profile analysis

Identifiers

PMID42136611
PMCPMC13167965

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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.