Evidence map›Paper›PMID 41084501›Full record

ArticleJournal of multidisciplinary healthcare2025

Latent Profiles of Advance Care Planning Engagement and Death Attitudes in Dialysis Patients with End-Stage Renal Disease.

Shuang Cheng, Peng Shu, Jie Chen, Xia Wang, Yani Lv, Fang Xu

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Article in Journal of multidisciplinary healthcare, 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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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

6 authors.

Shuang ChengDepartment of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People's Republic of China.ORCID 0009-0001-6566-3505
Peng ShuDepartment of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People's Republic of China.ORCID 0000-0001-8945-8402
Jie ChenDepartment of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People's Republic of China.
Xia WangDepartment of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People's Republic of China.
Yani LvDepartment of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People's Republic of China.
Fang XuDepartment of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early identification of individuals with low advance care planning (ACP) engagement remains a critical component of clinical care. However, we know little about the heterogeneity of ACP engagement at the individual level. This study identified latent subgroups of ACP engagement using latent profile analysis (LPA), and explored their associations with death attitudes. Methods: This study recruited 302 end-stage renal disease (ESRD) patients undergoing dialysis. Data included sociodemographic characteristics, the Advance Care Planning Engagement Survey (ACPES; Chinese version), and the Death Attitude Profile-Revised (DAP-R). Based on multidimensional indicators, LPA was employed to identify distinct ACP engagement profiles. Model fit and classification quality in LPA were evaluated based on class sizes and entropy values. All analyses were completed in SPSS 26.0 and Mplus 8.3, with R3STEP and BCH methods employed to uncover underlying patterns and relationships. Results: Among dialysis-dependent ESRD patients, ACP engagement was categorized into two latent profiles: a "low-ACP Engagement" profile (n = 162, 53.6%) and a "high-ACP Engagement" profile (n = 140, 46.4%), with good classification quality (entropy = 0.909). The profile membership was significantly associated with dialysis vintage, and educational level (both Conclusion: This study identifies two distinct ACP engagement profiles among dialysis-dependent ESRD patients. Findings emphasize the need for tailored interventions, particularly for patients with shorter dialysis vintage and lower education level, and highlight the role of death attitudes in shaping ACP engagement. These findings should be interpreted with caution due to the cross-sectional design and single-center setting.

Indexed as

advance care planningdeath attitudesdialysisend-stage renal diseaselatent profile analysis

Identifiers

PMID41084501
PMCPMC12515451

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