Cargando…
Application of the Workload Indicators of Staffing Need method to predict nursing human resources at a Family Health Service
OBJECTIVE: verify the application of the Workload Indicators of Staffing Need method in the prediction of nursing human resources at a Family Health service. METHOD: descriptive and quantitative study, undertaken at a Family Health service in the city of São Paulo. The set of sequential operations r...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Escola de Enfermagem de Ribeirão Preto / Universidade de São
Paulo
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4862749/ https://www.ncbi.nlm.nih.gov/pubmed/27143538 http://dx.doi.org/10.1590/1518-8345.1010.2683 |
_version_ | 1782431383626448896 |
---|---|
author | Bonfim, Daiana Laus, Ana Maria Leal, Ana Emilia Fugulin, Fernanda Maria Togeiro Gaidzinski, Raquel Rapone |
author_facet | Bonfim, Daiana Laus, Ana Maria Leal, Ana Emilia Fugulin, Fernanda Maria Togeiro Gaidzinski, Raquel Rapone |
author_sort | Bonfim, Daiana |
collection | PubMed |
description | OBJECTIVE: verify the application of the Workload Indicators of Staffing Need method in the prediction of nursing human resources at a Family Health service. METHOD: descriptive and quantitative study, undertaken at a Family Health service in the city of São Paulo. The set of sequential operations recommended in the Workload Indicators of Staffing Need method was used: definition of the professional category, type of health service and calculation of Available Work Time; definition of workload components; identification of mean time for workload components; dimensioning of staff needs based on the method, application and interpretation of the data. RESULT: the workload proposed in the Workload Indicators of Staffing Need method to nursing technicians/auxiliary nurses was balanced with the number of professionals available at the Family Health service. The Workload Indicators of Staffing Need index amounted to 0.6 for nurses and 1.0 for nursing technicians/auxiliary nurses. CONCLUSION: the application of the Workload Indicators of Staffing Need method was relevant to identify the components of the nursing professionals' workload. Therefore, it is recommendable as a nursing staffing tool at Family Health services, contributing to the access and universal health coverage. |
format | Online Article Text |
id | pubmed-4862749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Escola de Enfermagem de Ribeirão Preto / Universidade de São
Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-48627492016-05-20 Application of the Workload Indicators of Staffing Need method to predict nursing human resources at a Family Health Service Bonfim, Daiana Laus, Ana Maria Leal, Ana Emilia Fugulin, Fernanda Maria Togeiro Gaidzinski, Raquel Rapone Rev Lat Am Enfermagem Original Articles OBJECTIVE: verify the application of the Workload Indicators of Staffing Need method in the prediction of nursing human resources at a Family Health service. METHOD: descriptive and quantitative study, undertaken at a Family Health service in the city of São Paulo. The set of sequential operations recommended in the Workload Indicators of Staffing Need method was used: definition of the professional category, type of health service and calculation of Available Work Time; definition of workload components; identification of mean time for workload components; dimensioning of staff needs based on the method, application and interpretation of the data. RESULT: the workload proposed in the Workload Indicators of Staffing Need method to nursing technicians/auxiliary nurses was balanced with the number of professionals available at the Family Health service. The Workload Indicators of Staffing Need index amounted to 0.6 for nurses and 1.0 for nursing technicians/auxiliary nurses. CONCLUSION: the application of the Workload Indicators of Staffing Need method was relevant to identify the components of the nursing professionals' workload. Therefore, it is recommendable as a nursing staffing tool at Family Health services, contributing to the access and universal health coverage. Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2016-04-29 /pmc/articles/PMC4862749/ /pubmed/27143538 http://dx.doi.org/10.1590/1518-8345.1010.2683 Text en http://creativecommons.org/licenses/by/4.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Original Articles Bonfim, Daiana Laus, Ana Maria Leal, Ana Emilia Fugulin, Fernanda Maria Togeiro Gaidzinski, Raquel Rapone Application of the Workload Indicators of Staffing Need method to predict nursing human resources at a Family Health Service |
title | Application of the Workload Indicators of Staffing Need method to predict
nursing human resources at a Family Health Service |
title_full | Application of the Workload Indicators of Staffing Need method to predict
nursing human resources at a Family Health Service |
title_fullStr | Application of the Workload Indicators of Staffing Need method to predict
nursing human resources at a Family Health Service |
title_full_unstemmed | Application of the Workload Indicators of Staffing Need method to predict
nursing human resources at a Family Health Service |
title_short | Application of the Workload Indicators of Staffing Need method to predict
nursing human resources at a Family Health Service |
title_sort | application of the workload indicators of staffing need method to predict
nursing human resources at a family health service |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4862749/ https://www.ncbi.nlm.nih.gov/pubmed/27143538 http://dx.doi.org/10.1590/1518-8345.1010.2683 |
work_keys_str_mv | AT bonfimdaiana applicationoftheworkloadindicatorsofstaffingneedmethodtopredictnursinghumanresourcesatafamilyhealthservice AT lausanamaria applicationoftheworkloadindicatorsofstaffingneedmethodtopredictnursinghumanresourcesatafamilyhealthservice AT lealanaemilia applicationoftheworkloadindicatorsofstaffingneedmethodtopredictnursinghumanresourcesatafamilyhealthservice AT fugulinfernandamariatogeiro applicationoftheworkloadindicatorsofstaffingneedmethodtopredictnursinghumanresourcesatafamilyhealthservice AT gaidzinskiraquelrapone applicationoftheworkloadindicatorsofstaffingneedmethodtopredictnursinghumanresourcesatafamilyhealthservice |