Evidence map›Paper›PMID 42104302›Full record

ArticleBMC geriatrics2026

Implicit rationing of nursing care in Turkish public nursing homes and rehabilitation centres: a cross-sectional analysis.

Şirin Özkan, Zeynep Acar, Güven Özkaya, Franziska Zúñiga, Lisa Geyskens, Mieke Deschodt

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Article in BMC geriatrics, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Şirin ÖzkanGerontology and Geriatrics, Department of Public Health and Primary Care, Louvain, KU, Belgium. sirin.oezkan@kuleuven.be.
Zeynep AcarDepartment of Health Care Services, Elderly Care Program, Vocational School of Health Services, Muğla Sıtkı Koçman University, Muğla, Turkey.
Güven ÖzkayaDepartment of Biostatistics, Faculty of Medicine, Bursa Uludag University, Bursa, Turkey.
Franziska ZúñigaNursing Science, Department of Public Health, University of Basel, Basel, Switzerland.
Lisa GeyskensGerontology and Geriatrics, Department of Public Health and Primary Care, Louvain, KU, Belgium.
Mieke DeschodtGerontology and Geriatrics, Department of Public Health and Primary Care, Louvain, KU, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplicit rationing of nursing care refers to situations in which healthcare workers must delay, postpone, or omit required nursing activities due to limited resources. İmplicit rationing of nursing care is particularly important in nursing homes, where it is associated with poorer resident outcomes, increased adverse events, preventable hospitalisations, and negative consequences for care providers such as emotional exhaustion and job dissatisfaction. This study aimed to describe the prevalence and types of implicit rationing of nursing care in public nursing homes and rehabilitation centers (NHRC) in Türkiye, and to analyse its associations with nurses' and geriatric care workers' professional experience, work experience in the institution, and geriatric care training level.

methodsThis cross-sectional study was conducted in six NHRCs across different provinces in Türkiye. The Basel Extent of Rationing of Nursing Care for Nursing Homes (BERNCA-NH) instrument was used to assess the frequency of implicit rationing of nursing care. Categorical variables were summarised with frequencies and percentages, continuous variables with means and standard deviations, and responses to the open-ended question were analysed using qualitative content analysis.

resultsOf the 489 eligible nurses and geriatric care workers, 280 (57%) participated in the study. Rationing of nursing care rates ranged from 9.3% to 51.9% across different activities. Assisting with eating or drinking was the least rationed activity, while social care activities, such as "cultural activity for residents with contact outside of the nursing home", were rationed the most. Significant associations were found between implicit rationing of activities and characteristics such as total professional experience, working experience at the same institution, and level of geriatric care training. The main reasons for implicit rationing included tasks out of professional scope, heavy workloads, insufficient staffing, and low motivation.

conclusionsImplicit rationing of nursing care remains a challenge in NHRCs in Türkiye. To reduce the implicit rationing of nursing care, the roles and responsibilities of care workers with different training levels may need clearer definition in nursing homes, and their competencies can be enhanced through in-service training programs.

Indexed as

Health Care RationingNursing CareNursing HomesRehabilitation CentersCross-Sectional StudiesFemaleHumansMaleTurkeyGeriatric careImplicit rationing of nursing careMissed careNursing homesTürkiyeWorkforce

Identifiers

PMID42104302
PMCPMC13326478

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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.