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

Author

Listed:
  • Zahra Tagharrobi
  • Tayebeh Moradi
  • Khadijeh Sharifi
  • Negin Masoudi Alavi

Abstract

BackgroundRationing 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 MethodsA 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 t-test, Kruskal–Wallis test, Pearson and Spearman–Brown correlation coefficients, and multiple linear regression.ResultsThe 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 (p 

Suggested Citation

  • Zahra Tagharrobi & Tayebeh Moradi & Khadijeh Sharifi & Negin Masoudi Alavi, 2026. "Predictors and Causes of Implicit Rationing of Nursing Care: Lessons From the COVID-19 Pandemic Crisis in Iran: A Cross-Sectional Study," Nursing Research and Practice, Hindawi, vol. 2026, pages 1-12, September.
    • Handle: RePEc:hin:jnlnrp:7362186
    DOI: 10.1155/nrp/7362186
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