Evidence map›Paper›PMID 41913169›Full record

ArticleBMC nursing2026

Burnout severity in residential dementia care: individual demands and institutional-level variation in a Hungarian cross-sectional study.

Hedvig Kiss, Zoltán Balogh, Attila Péter Szabó, Orsolya Nyilas, Péter Takács

Abstract read
In one paragraph

Article in BMC nursing, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hedvig KissHealth Sciences Division, Doctoral College, Semmelweis University, Budapest, Hungary. kisshedvig12@gmail.com.ORCID http://orcid.org/0009-0002-6565-0779
Zoltán BaloghDepartment of Nursing, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary.ORCID http://orcid.org/0000-0002-1202-1111
Attila Péter SzabóDepartment of Epidemiology, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary.ORCID http://orcid.org/0000-0001-5086-7305
Orsolya NyilasInstitute of Applied Human Sciences, University of Nyíregyháza, Nyíregyháza, Hungary.ORCID http://orcid.org/0009-0005-2748-6308
Péter TakácsDepartment of Health Informatics, Faculty of Health Sciences, University of Debrecen, Debrecen, Hungary.ORCID http://orcid.org/0000-0002-0620-7753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBurnout among staff providing residential dementia care can undermine workforce sustainability and care quality. Evidence from Hungarian long-term residential social care settings remains limited, particularly regarding the combined role of multidimensional job demands and coping-related resource constraints.

methodsA county-level cross-sectional questionnaire survey was conducted among nurses and caregivers working in residential social institutions providing dementia care in Hungary. Data collection took place between 1 June and 31 July 2024 across 77 institutions. The final sample included 1,254 participants (ordinal regression sample: 1,207). Caregiving difficulties (13 items) and dementia-specific symptom burden (12 items) were assessed on 5-point scales; internal consistency was evaluated using Cronbach’s alpha. Principal component analysis was used to develop components of caregiving difficulty. Burnout severity was operationalized as a 4-level ordinal variable outcome (0–3), derived from participants’ responses regarding their own and others’ burnout. Predictors were examined using Proportional Odds Ordinal Logistic Regression (POLR) and a multilevel Cumulative Link Mixed Model (CLMM) accounting for institutional clustering.

resultsCaregiving difficulties showed excellent reliability (α = 0.928) and yielded three components explaining 73.19% of variance. Symptom burden reliability was also excellent (α = 0.949). Any burnout-related signal (levels 1–3) was reported by 46.4% of participants, while higher severity (levels 2–3) accounted for 19.3%. In adjusted ordinal models, higher subjective workload was associated with increased burnout severity (OR ≈ 1.46–1.53 across models, p < 0.001), as was more frequent care-related burden (OR ≈ 1.21–1.31, p < 0.01). Coping constraints were strongly related to higher burnout severity: reporting “no possibility to cope” was associated with increased odds (OR ≈ 2.86–2.91, p < 0.01). Self-reported prior learning about burnout was strongly negatively associated with burnout severity (OR ≈ 0.06–0.08, p < 0.001). Rest/relax frequency was not a significant predictor (OR = 1.09, 95% CI 0.95–1.24; p = 0.212).

conclusionsIn the studied county, the level of burnout among professionals was primarily related to job expectations and limited coping options, while self-reported prior learning about burnout emerged as a potential protective factor. Organisational strategies that reduce excessive demands and expand access to coping resources—supported by targeted training—may help mitigate burnout risk in this setting.

Indexed as

Burnout severityCoping constraintsDementia careJob demands–resources modelMultilevel analysis

Identifiers

PMID41913169
PMCPMC13159206

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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.