Evidence map›Paper›PMID 39334138›Full record

ArticleBMC nursing2024

Status quo and factors influencing dyadic disease appraisal in chronic heart failure based on latent profile analysis in Northern Sichuan Province, China.

Jiali Ren, Huaying Pan, Zhou Zhang, Yali Wang

Abstract read
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Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiali RenCardiac Vascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nan Chong, 637000, China.
Huaying PanCardiac Vascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nan Chong, 637000, China.
Zhou ZhangCardiac Vascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nan Chong, 637000, China.
Yali WangCardiac Vascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nan Chong, 637000, China. 1974267247@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study explored potential categories of dyadic disease appraisal differences among patients hospitalized with chronic heart failure (CHF) in China and analyzed the main factors influencing these categories.

methodsA survey was conducted using various tools and scales, including the Chinese version of the Memorial Heart Failure Symptom Appraisal Scale, Heart failure self-care index scale, Social Support Rating Scale, Zarit burden interview, and Self-rating anxiety scale. The data was collected from patients who were hospitalized with CHF in the cardiology department of one of two tertiary hospitals in Nanchong City, China. The dyadic disease appraisal categories were identified using latent profile analysis (LPA). Multiple logistic regression analysis was also employed to analyze the factors influencing the formation of potential categories of differences in dyadic disease appraisal in CHF patients.

resultsA total of 262 pairs of hospitalized CHF patients and their caregivers participated in this study. The dyadic disease appraisal of CHF patients was potentially categorized as the "negative difference group" (28 individuals, 10.7%) and the "positive or convergence group" (234 persons, 89.3%). The results showed that the factors influencing the categorization of dyadic disease appraisal differences included the patient's social support, disease progression, and Caregivers anxiety level, burden, gender, educational attainment, and age (p < 0.05).

conclusionThe study findings demonstrated heterogeneity between the two groups of CHF patients in the dyadic disease appraisal. Therefore, it is necessary to focus on patients who have a brief duration of illness and limited social support. Specifically, it is important to prioritize support for female caregivers who are 65 years or older, have lower levels of educational attainment, and experience a significant burden and anxiety. Regular implementation of support person-bilateral co-management strategies can effectively reduce differences in how the disease is perceived and enhance the overall well-being of both caregivers and patients.

Indexed as

Chronic heart failure (CHF)Dyadic disease appraisalInfluencing factorsLatent profile analysis (LPA)

Identifiers

PMID39334138
PMCPMC11438179

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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.