ArticleRevista da Escola de Enfermagem da U S P2022
Beyond patient classification: the "hidden" face of nursing workload.
Article in Revista da Escola de Enfermagem da U S P, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- HealthCare Complexity Index (HCIn): A Clinical Decision-Making Tool for Primary Care.Healthcare (Basel, Switzerland) · 2026Article
- Management of care for hospitalized older persons - comfort as an essential outcome: a qualitative study.BMC nursing · 2025Article
- Demonstration of sizing nursing staff methods in intensive care.Revista latino-americana de enfermagem · 2025Article
- A prospective longitudinal cohort study of the association between nurses' subjective and objective workload.Scientific reports · 2024Article
- Factors related to Nursing workload in the Oncology assistance provided to hospitalized women.Revista latino-americana de enfermagem · 2024Article
- Comparison of patient classification systems for dimensioning nursing staff.Revista da Escola de Enfermagem da U S P · 2023Article
- Adaptation and validation of an adult patient classification instrument with emphasis on the family dimension.Revista brasileira de enfermagem · 2023Article
- Validation of a Nursing Workload Measurement Scale, Based on the Classification of Nursing Interventions, for Adult Hospitalization Units.International journal of environmental research and public health · 2022Observational
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Authors and funding
4 authors.
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Abstract
This is a theoretical-reflective essay, which aimed to reflect on the centralization of Patient Classification Systems in workload and hospital nursing staff sizing. The reflexive interpretations were guided by two axes: Patient Classification Systems : constitution and utilities; and "Hidden" nursing activities in workload measurement. The first evidences the importance and the role of these instruments in workload identification and in hospital nursing staff sizing, exemplifying several possibilities to be used by nurses. On the other hand, with the second axis, it is clear that there are many nursing activities that are not sensitive to the application (even if systematic) of these means of patient assessment. Therefore, nursing workload measurement may be underestimated. It was inferred that the complexity of practice environments requires a macro and micro institutional look at the nursing workload measurement, especially when considered for workforce planning/sizing purposes.
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