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Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries

BACKGROUND: Most of previous studies aimed to estimate the effect of nurse staffing on quality of acute hospital care have used stochastic methods and their results are mixed. OBJECTIVE: To measure the magnitude of effect of nurse-staffing level on increasing quality of acute care services in long-r...

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Autores principales: Amiri, Arshia, Solankallio-Vahteri, Tytti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chinese Nursing Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6608666/
https://www.ncbi.nlm.nih.gov/pubmed/31406863
http://dx.doi.org/10.1016/j.ijnss.2018.11.010
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author Amiri, Arshia
Solankallio-Vahteri, Tytti
author_facet Amiri, Arshia
Solankallio-Vahteri, Tytti
author_sort Amiri, Arshia
collection PubMed
description BACKGROUND: Most of previous studies aimed to estimate the effect of nurse staffing on quality of acute hospital care have used stochastic methods and their results are mixed. OBJECTIVE: To measure the magnitude of effect of nurse-staffing level on increasing quality of acute care services in long-run. DATA: The number of practicing nurses’ density per 1000 population as the proxy of nurse-staffing level and three Health Care Quality Indicators (HCQI) included 30-day mortality per 100 patients based on acute myocardial infarction (MORTAMIO), hemorrhagic stroke (MORTHSTO) and ischemic stroke (MORTISTO) were collected as a part of ongoing project by OECD.org in panels of 26 OECD countries over 2005–2015 period. METHOD: Panel data analysis. RESULTS: There were committed relationships from nurse-staffing level to the enhancement of HCQI i.e. 1% increase in nurse-staffing level would reduce the rates of patient mortality based on MORTAMIO, MORTHSTO and MORTISTO by 0.65%, 0.60% and 0.80%, respectively. Furthermore, the role of nurse-staffing level in increasing overall HCQI were simulated at the highest level in Sweden (−3.53), Denmark (−3.31), Canada (−2.59), Netherlands (−2.33), Finland (−2.09), Switzerland (−1.72), Australia (−1.64) and United States (−1.53). CONCLUSION: A higher proportion of nurses-staffing level is associated with higher quality of acute care services in OECD countries. Also, the nursing characteristics of Sweden, Denmark, Canada, Netherlands, Finland, Switzerland, Australia and United States would be good patterns for other countries to maximize nursing outcomes in the care of patients with acute and life-threatening conditions by reducing the risk of complication, mortality and adverse clinical outcomes.
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spelling pubmed-66086662019-08-12 Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries Amiri, Arshia Solankallio-Vahteri, Tytti Int J Nurs Sci Original Article BACKGROUND: Most of previous studies aimed to estimate the effect of nurse staffing on quality of acute hospital care have used stochastic methods and their results are mixed. OBJECTIVE: To measure the magnitude of effect of nurse-staffing level on increasing quality of acute care services in long-run. DATA: The number of practicing nurses’ density per 1000 population as the proxy of nurse-staffing level and three Health Care Quality Indicators (HCQI) included 30-day mortality per 100 patients based on acute myocardial infarction (MORTAMIO), hemorrhagic stroke (MORTHSTO) and ischemic stroke (MORTISTO) were collected as a part of ongoing project by OECD.org in panels of 26 OECD countries over 2005–2015 period. METHOD: Panel data analysis. RESULTS: There were committed relationships from nurse-staffing level to the enhancement of HCQI i.e. 1% increase in nurse-staffing level would reduce the rates of patient mortality based on MORTAMIO, MORTHSTO and MORTISTO by 0.65%, 0.60% and 0.80%, respectively. Furthermore, the role of nurse-staffing level in increasing overall HCQI were simulated at the highest level in Sweden (−3.53), Denmark (−3.31), Canada (−2.59), Netherlands (−2.33), Finland (−2.09), Switzerland (−1.72), Australia (−1.64) and United States (−1.53). CONCLUSION: A higher proportion of nurses-staffing level is associated with higher quality of acute care services in OECD countries. Also, the nursing characteristics of Sweden, Denmark, Canada, Netherlands, Finland, Switzerland, Australia and United States would be good patterns for other countries to maximize nursing outcomes in the care of patients with acute and life-threatening conditions by reducing the risk of complication, mortality and adverse clinical outcomes. Chinese Nursing Association 2018-12-05 /pmc/articles/PMC6608666/ /pubmed/31406863 http://dx.doi.org/10.1016/j.ijnss.2018.11.010 Text en © 2018 Chinese Nursing Association. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Amiri, Arshia
Solankallio-Vahteri, Tytti
Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries
title Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries
title_full Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries
title_fullStr Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries
title_full_unstemmed Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries
title_short Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries
title_sort nurse-staffing level and quality of acute care services: evidence from cross-national panel data analysis in oecd countries
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6608666/
https://www.ncbi.nlm.nih.gov/pubmed/31406863
http://dx.doi.org/10.1016/j.ijnss.2018.11.010
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