Evidence map›Paper›PMID 42746115›Full record

ArticleNursing research and practice2026

Predictors and Causes of Implicit Rationing of Nursing Care: Lessons From the COVID-19 Pandemic Crisis in Iran: A Cross-Sectional Study.

Zahra Tagharrobi, Tayebeh Moradi, Khadijeh Sharifi, Negin Masoudi Alavi

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Article in Nursing research and practice, 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

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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.

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

4 authors.

Zahra TagharrobiTrauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran, kaums.ac.ir.ORCID https://orcid.org/0000-0003-1704-7510
Tayebeh MoradiDepartment of Nursing, Kas.C., Islamic Azad University, Kashan, Iran, azad.ac.ir.ORCID https://orcid.org/0000-0002-9427-3688
Khadijeh SharifiTrauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran, kaums.ac.ir.ORCID https://orcid.org/0000-0002-7531-5440
Negin Masoudi AlaviTrauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran, kaums.ac.ir.ORCID https://orcid.org/0000-0001-9519-0051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rationing of nursing care (RONC) represents a significant challenge for healthcare systems, particularly during pandemics. Effective management of RONC requires thorough examination and identification of the contributing factors within crisis situations. This study aimed to investigate the predictors and causes of implicit RONC amidst the COVID-19 pandemic in Iran. Materials and Methods: A cross-sectional study was conducted in 2022, involving 200 nurses selected via stratified random sampling from COVID-19-designated hospitals in Kashan city. Data were collected using the Persian version of the Perceived Implicit Rationing of Nursing Care (P-PIRNCA) Questionnaire, the MISSCARE survey, and a questionnaire detailing potential predictors of implicit rationing. Data were analyzed using SPSS version 22, employing one-way ANOVA, Independent Results: The mean score for the RONC was 36.02 ± 19.79 (95% CI: 33.28-38.77). Interest in the nursing profession, second job, number of children, and monthly income were reported to be significant in the rationing model ( Conclusion: The RONC was not high at the peak of the pandemic. Selecting nurses from among those interested in the profession, those without a second job, and those with more children, as well as paying attention to professional relationships, can lead to adjustments in the rationing of care during the difficult conditions of the pandemic crisis.

Indexed as

COVID-19 pandemicIrannursepredictorsrationing of nursing care

Identifiers

PMID42746115
PMCPMC13575872

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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.