Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1785105697868873728 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10499377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Universidade de São Paulo, Escola de Enfermagem |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT guardalupejessicaazevedo comparisonofpatientclassificationsystemsfordimensioningnursingstaff AT brumivanaduarte comparisonofpatientclassificationsystemsfordimensioningnursingstaff AT docantodeborafrancisco comparisonofpatientclassificationsystemsfordimensioningnursingstaff AT telleskellycristinamilioni comparisonofpatientclassificationsystemsfordimensioningnursingstaff AT demagalhaesanamariamuller comparisonofpatientclassificationsystemsfordimensioningnursingstaff AT deoliveirajoaolucascampos comparisonofpatientclassificationsystemsfordimensioningnursingstaff |