AI Article Synopsis
- The essay discusses the centralization of Patient Classification Systems (PCS) in determining nursing workload and staffing in hospitals.
- It highlights the significance of these systems in identifying nursing tasks but also points out that many important nursing activities may not be captured, leading to an underestimation of actual workload.
- The author emphasizes that measuring nursing workload requires a comprehensive approach that considers both large-scale (macro) and specific (micro) factors in the practice environment.
Article 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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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081636 | PMC |
| http://dx.doi.org/10.1590/1980-220X-REEUSP-2021-0533en | DOI Listing |
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