Cargando…

Patients' functioning as predictor of nursing workload in acute hospital units providing rehabilitation care: a multi-centre cohort study

BACKGROUND: Management decisions regarding quality and quantity of nurse staffing have important consequences for hospital budgets. Furthermore, these management decisions must address the nursing care requirements of the particular patients within an organizational unit. In order to determine optim...

Descripción completa

Detalles Bibliográficos
Autores principales: Mueller, Martin, Lohmann, Stefanie, Strobl, Ralf, Boldt, Christine, Grill, Eva
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2988780/
https://www.ncbi.nlm.nih.gov/pubmed/21034438
http://dx.doi.org/10.1186/1472-6963-10-295
_version_ 1782192279817027584
author Mueller, Martin
Lohmann, Stefanie
Strobl, Ralf
Boldt, Christine
Grill, Eva
author_facet Mueller, Martin
Lohmann, Stefanie
Strobl, Ralf
Boldt, Christine
Grill, Eva
author_sort Mueller, Martin
collection PubMed
description BACKGROUND: Management decisions regarding quality and quantity of nurse staffing have important consequences for hospital budgets. Furthermore, these management decisions must address the nursing care requirements of the particular patients within an organizational unit. In order to determine optimal nurse staffing needs, the extent of nursing workload must first be known. Nursing workload is largely a function of the composite of the patients' individual health status, particularly with respect to functioning status, individual need for nursing care, and severity of symptoms. The International Classification of Functioning, Disability and Health (ICF) and the derived subsets, the so-called ICF Core Sets, are a standardized approach to describe patients' functioning status. The objectives of this study were to (1) examine the association between patients' functioning, as encoded by categories of the Acute ICF Core Sets, and nursing workload in patients in the acute care situation, (2) compare the variance in nursing workload explained by the ICF Core Set categories and with the Barthel Index, and (3) validate the Acute ICF Core Sets by their ability to predict nursing workload. METHODS: Patients' functioning at admission was assessed using the respective Acute ICF Core Set and the Barthel Index, whereas nursing workload data was collected using an established instrument. Associations between dependent and independent variables were modelled using linear regression. Variable selection was carried out using penalized regression. RESULTS: In patients with neurological and cardiopulmonary conditions, selected ICF categories and the Barthel Index Score explained the same variance in nursing workload (44% in neurological conditions, 35% in cardiopulmonary conditions), whereas ICF was slightly superior to Barthel Index Score for musculoskeletal conditions (20% versus 16%). CONCLUSIONS: A substantial fraction of the variance in nursing workload in patients with rehabilitation needs in the acute hospital could be predicted by selected categories of the Acute ICF Core Sets, or by the Barthel Index score. Incorporating ICF Core Set-based data in nursing management decisions, particularly staffing decisions, may be beneficial.
format Text
id pubmed-2988780
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-29887802010-12-06 Patients' functioning as predictor of nursing workload in acute hospital units providing rehabilitation care: a multi-centre cohort study Mueller, Martin Lohmann, Stefanie Strobl, Ralf Boldt, Christine Grill, Eva BMC Health Serv Res Research Article BACKGROUND: Management decisions regarding quality and quantity of nurse staffing have important consequences for hospital budgets. Furthermore, these management decisions must address the nursing care requirements of the particular patients within an organizational unit. In order to determine optimal nurse staffing needs, the extent of nursing workload must first be known. Nursing workload is largely a function of the composite of the patients' individual health status, particularly with respect to functioning status, individual need for nursing care, and severity of symptoms. The International Classification of Functioning, Disability and Health (ICF) and the derived subsets, the so-called ICF Core Sets, are a standardized approach to describe patients' functioning status. The objectives of this study were to (1) examine the association between patients' functioning, as encoded by categories of the Acute ICF Core Sets, and nursing workload in patients in the acute care situation, (2) compare the variance in nursing workload explained by the ICF Core Set categories and with the Barthel Index, and (3) validate the Acute ICF Core Sets by their ability to predict nursing workload. METHODS: Patients' functioning at admission was assessed using the respective Acute ICF Core Set and the Barthel Index, whereas nursing workload data was collected using an established instrument. Associations between dependent and independent variables were modelled using linear regression. Variable selection was carried out using penalized regression. RESULTS: In patients with neurological and cardiopulmonary conditions, selected ICF categories and the Barthel Index Score explained the same variance in nursing workload (44% in neurological conditions, 35% in cardiopulmonary conditions), whereas ICF was slightly superior to Barthel Index Score for musculoskeletal conditions (20% versus 16%). CONCLUSIONS: A substantial fraction of the variance in nursing workload in patients with rehabilitation needs in the acute hospital could be predicted by selected categories of the Acute ICF Core Sets, or by the Barthel Index score. Incorporating ICF Core Set-based data in nursing management decisions, particularly staffing decisions, may be beneficial. BioMed Central 2010-10-29 /pmc/articles/PMC2988780/ /pubmed/21034438 http://dx.doi.org/10.1186/1472-6963-10-295 Text en Copyright ©2010 Mueller et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mueller, Martin
Lohmann, Stefanie
Strobl, Ralf
Boldt, Christine
Grill, Eva
Patients' functioning as predictor of nursing workload in acute hospital units providing rehabilitation care: a multi-centre cohort study
title Patients' functioning as predictor of nursing workload in acute hospital units providing rehabilitation care: a multi-centre cohort study
title_full Patients' functioning as predictor of nursing workload in acute hospital units providing rehabilitation care: a multi-centre cohort study
title_fullStr Patients' functioning as predictor of nursing workload in acute hospital units providing rehabilitation care: a multi-centre cohort study
title_full_unstemmed Patients' functioning as predictor of nursing workload in acute hospital units providing rehabilitation care: a multi-centre cohort study
title_short Patients' functioning as predictor of nursing workload in acute hospital units providing rehabilitation care: a multi-centre cohort study
title_sort patients' functioning as predictor of nursing workload in acute hospital units providing rehabilitation care: a multi-centre cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2988780/
https://www.ncbi.nlm.nih.gov/pubmed/21034438
http://dx.doi.org/10.1186/1472-6963-10-295
work_keys_str_mv AT muellermartin patientsfunctioningaspredictorofnursingworkloadinacutehospitalunitsprovidingrehabilitationcareamulticentrecohortstudy
AT lohmannstefanie patientsfunctioningaspredictorofnursingworkloadinacutehospitalunitsprovidingrehabilitationcareamulticentrecohortstudy
AT stroblralf patientsfunctioningaspredictorofnursingworkloadinacutehospitalunitsprovidingrehabilitationcareamulticentrecohortstudy
AT boldtchristine patientsfunctioningaspredictorofnursingworkloadinacutehospitalunitsprovidingrehabilitationcareamulticentrecohortstudy
AT grilleva patientsfunctioningaspredictorofnursingworkloadinacutehospitalunitsprovidingrehabilitationcareamulticentrecohortstudy