Evidence map›Paper›PMID 39707309›Full record

ArticleBMC palliative care2024

Latent profile analysis of anticipatory grief in family caregivers of patients with chronic heart failure and its influencing factors.

Ting Chen, Li Su, Jiajie Yu, Huiming Zhao, Haoran Xiao, Yali Wang

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Article in BMC palliative care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 1 of them a synthesis that pooled it.

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9citing papers in PubMed, 1 pooled it
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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.

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ting ChenDepartment of Cardiac Vascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, China.
Li SuDepartment of nursing, Zi Yang Central Hospital, ZiYang, Sichuan, 641399, China.
Jiajie YuDepartment of Cardiac Vascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, China.
Huiming ZhaoDepartment of nursing, The Sixth People's Hospital of Yibin, Yibin, Sichuan, 644000, China.
Haoran XiaoDepartment of nursing, He Jiang People's Hospital, Luzhou, Sichuan, 646200, China.
Yali WangDepartment of Cardiac Vascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, China. ya_liwang@163.com.

Funding

Project of Science and Technology Bureau of Nanchong, Sichuan Province,China 23JCYJPT0045
6 · The paper itself

Abstract

backgroundAnticipatory grief has been shown to be highly prevalent among family caregivers of patients with advanced illness. However, there is less research on the anticipatory grief of family caregivers with chronic heart failure. Therefore, the purpose of this study was to explore the profile of anticipatory grief among family caregivers of patients with chronic heart failure and to analyze the influencing factors of different profiles.

methodsA convenience sampling method was adopted to select 205 family caregivers of chronic heart failure patients hospitalized in a tertiary general hospital in Nanchong, China as the research subjects. A general information questionnaire, Anticipatory Grief Scale (AGS), and Fear of Progression Questionnaire-Short Form (FoP-Q-SF) were used for the survey. Latent profile analysis was conducted on the anticipatory grief of family caregivers of chronic heart failure patients, and univariate analysis and multinomial logistic regression analysis were used to explore the influencing factors of anticipatory grief in each subgroup.

resultsThe anticipatory grief of family caregivers of chronic heart failure patients has been divided into three latent classes: low anticipatory grief class (16.4%), moderate anticipatory grief class (58.7%), and high anticipatory grief and loss class (24.8%). Gender, education, relationship with the patient, course of disease, and fear of progression were the influencing factors of the latent profile of anticipatory grief among family caregivers of chronic heart failure patients (all P < 0.05).

conclusionThere were differences in the level of anticipatory grief among different subgroups of family caregivers of chronic heart failure patients. Medical staff can develop personalized intervention measures on the basis of the influencing factors of different categories to alleviate anticipatory grief of family caregivers and promote physical and mental health of caregivers in chronic heart failure patients.

Indexed as

CaregiversGriefHeart FailureAdaptation, PsychologicalAdultAgedAnticipation, PsychologicalChinaChronic DiseaseFemaleHumansLatent Class AnalysisMaleMiddle AgedSurveys and QuestionnairesAnticipatory griefChronic heart failureFamily caregiversLatent profile analysis

Identifiers

PMID39707309
PMCPMC11662479

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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.