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Comparison of patient classification systems for dimensioning nursing staff

OBJECTIVE: To compare nursing staff workload and dimensioning measured by two patient classification systems. METHOD: Cross-sectional study, developed in a clinical inpatient unit of a large hospital in southern Brazil, between June and August 2022. Included patients (n = 260) were assessed through...

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Autores principales: Guardalupe, Jéssica Azevedo, Brum, Ivana Duarte, do Canto, Débora Francisco, Telles, Kelly Cristina Milioni, de Magalhães, Ana Maria Müller, de Oliveira, João Lucas Campos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Universidade de São Paulo, Escola de Enfermagem 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499377/
https://www.ncbi.nlm.nih.gov/pubmed/37703470
http://dx.doi.org/10.1590/1980-220X-REEUSP-2023-0047en
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author Guardalupe, Jéssica Azevedo
Brum, Ivana Duarte
do Canto, Débora Francisco
Telles, Kelly Cristina Milioni
de Magalhães, Ana Maria Müller
de Oliveira, João Lucas Campos
author_facet Guardalupe, Jéssica Azevedo
Brum, Ivana Duarte
do Canto, Débora Francisco
Telles, Kelly Cristina Milioni
de Magalhães, Ana Maria Müller
de Oliveira, João Lucas Campos
author_sort Guardalupe, Jéssica Azevedo
collection PubMed
description OBJECTIVE: To compare nursing staff workload and dimensioning measured by two patient classification systems. METHOD: Cross-sectional study, developed in a clinical inpatient unit of a large hospital in southern Brazil, between June and August 2022. Included patients (n = 260) were assessed through two different patient classification systems. The dimensioning calculation provided by the standard and descriptive statistics were applied. RESULTS: Of the total number of patients, 1,248 classifications were performed with each of the classification systems. One of the instruments showed a concentration of demand for minimal care (54.5%) and the other for intermediate care (63.4%). The anticipation of required nursing hours was discrepant (235.58 and 298.16 hours), as well as the projected nursing staff, which was of 53 and 67 workers, respectively. CONCLUSION: Measurement of workload and dimensioning were different when using two patient classification systems in the same sample. Additional accuracy studies shall be carried out.
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spelling pubmed-104993772023-09-14 Comparison of patient classification systems for dimensioning nursing staff Guardalupe, Jéssica Azevedo Brum, Ivana Duarte do Canto, Débora Francisco Telles, Kelly Cristina Milioni de Magalhães, Ana Maria Müller de Oliveira, João Lucas Campos Rev Esc Enferm USP Original Article OBJECTIVE: To compare nursing staff workload and dimensioning measured by two patient classification systems. METHOD: Cross-sectional study, developed in a clinical inpatient unit of a large hospital in southern Brazil, between June and August 2022. Included patients (n = 260) were assessed through two different patient classification systems. The dimensioning calculation provided by the standard and descriptive statistics were applied. RESULTS: Of the total number of patients, 1,248 classifications were performed with each of the classification systems. One of the instruments showed a concentration of demand for minimal care (54.5%) and the other for intermediate care (63.4%). The anticipation of required nursing hours was discrepant (235.58 and 298.16 hours), as well as the projected nursing staff, which was of 53 and 67 workers, respectively. CONCLUSION: Measurement of workload and dimensioning were different when using two patient classification systems in the same sample. Additional accuracy studies shall be carried out. Universidade de São Paulo, Escola de Enfermagem 2023-08-28 /pmc/articles/PMC10499377/ /pubmed/37703470 http://dx.doi.org/10.1590/1980-220X-REEUSP-2023-0047en Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Guardalupe, Jéssica Azevedo
Brum, Ivana Duarte
do Canto, Débora Francisco
Telles, Kelly Cristina Milioni
de Magalhães, Ana Maria Müller
de Oliveira, João Lucas Campos
Comparison of patient classification systems for dimensioning nursing staff
title Comparison of patient classification systems for dimensioning nursing staff
title_full Comparison of patient classification systems for dimensioning nursing staff
title_fullStr Comparison of patient classification systems for dimensioning nursing staff
title_full_unstemmed Comparison of patient classification systems for dimensioning nursing staff
title_short Comparison of patient classification systems for dimensioning nursing staff
title_sort comparison of patient classification systems for dimensioning nursing staff
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499377/
https://www.ncbi.nlm.nih.gov/pubmed/37703470
http://dx.doi.org/10.1590/1980-220X-REEUSP-2023-0047en
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