Evidence map›Paper›PMID 40523867›Full record

ArticleJournal of clinical nursing2026

Positive and Negative Appraisals and Quality of Life Among Family Caregivers of Adults With Formal Long-Term Care Needs: An Exploration of Model Using Structural Equation Modelling.

Mika Sakurai, Junko Hoshino

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Article in Journal of clinical nursing, 2026. 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

2 authors.

Mika SakuraiNagoya University, Graduate School of Medicine, Department of Integrated Health Sciences, Course in Nursing, Doctoral Programme, Nagoya, Japan.ORCID 0009-0005-7754-3219
Junko HoshinoNagoya University, Graduate School of Medicine, Department of Integrated Health Sciences, Nagoya, Japan.ORCID 0000-0003-3678-003X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo examine a model of the caregiving adaptation process among family caregivers supporting care recipients at home.

backgroundGlobal demand for the support of adults with long-term care needs and family caregivers is increasing. Caregivers' quality of life is affected by positive and negative appraisals of care; however, few studies have simultaneously investigated these factors.

designA cross-sectional study.

methodThe STROBE checklist for cross-sectional studies was followed. Seventy-four randomly selected home-visit nursing stations in Japan participated in this study from June 2023 to June 2024. A self-administered anonymous questionnaire was provided to family caregivers with care recipients at home. A total of 168 questionnaires were analysed. The variables included in the model were the European Quality of Life five-dimension five-level (EQ-5D-5L) instrument, positive and negative appraisals of care scale, four external resources and three internal resources, and six characteristics of caregivers and care recipients. Descriptive statistics and correlations between variables were analysed. The model was tested using structural equation modelling.

resultsFamily caregivers' negative appraisal of care directly and negatively affected quality of life, and positive appraisal of care had no statistically significant association with quality of life. Positive appraisal of care had a direct negative association with negative appraisal of care. External resources such as support from nurses directly affected the positive appraisal of care. Internal resources such as caregivers' coping strategies had a significant negative effect on negative appraisal of care.

conclusionThe findings suggest that improving caregivers' quality of life requires support to decrease negative appraisal of care by increasing internal resources and increase positive appraisal of care by providing external resources. Understanding the caregivers' adaptation process model is essential to prevent the deterioration of their quality of life. REPORTING

methodSTROBE guidelines. PATIENT OR PUBLIC CONTRIBUTION: Seventy-four home visit nursing stations and participants who care for family members through home visit nursing were involved in the survey investigation and answering the questionnaires. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: For supporting family caregivers' QoL, a reduction in negative appraisals of care is essential, increasing internal resources such as caregivers' coping and positive appraisal of care directly reduces negative appraisal of care.

Indexed as

CaregiversFamilyLong-Term CareQuality of LifeAdaptation, PsychologicalAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansJapanLatent Class AnalysisMaleMiddle AgedSurveys and Questionnairescaregiverfamilyhome‐visit nursinglong‐term carestructural equation modelling

Identifiers

PMID40523867
PMCPMC13068168

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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 Socratic graph.