Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries

Objectives: To investigate the magnitude of effect nurse staffing had on decreasing the newborn mortality rates in member countries of Organisation for Economic Co-operation and Development (OECD). Methods: The statistical technique of panel data analysis was applied to explore the possibility of as...

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Published in:International Journal of Nursing Sciences
Main Authors: Arshia Amiri, Katri Vehviläinen-Julkunen, Tytti Solankallio-Vahteri, Sirpa Tuomi
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2020
Subjects:
Online Access:https://doi.org/10.1016/j.ijnss.2020.02.002
https://doaj.org/article/a20fd92ff9984859a25f57092fa8de36
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spelling ftdoajarticles:oai:doaj.org/article:a20fd92ff9984859a25f57092fa8de36 2023-05-15T16:48:43+02:00 Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries Arshia Amiri Katri Vehviläinen-Julkunen Tytti Solankallio-Vahteri Sirpa Tuomi 2020-04-01T00:00:00Z https://doi.org/10.1016/j.ijnss.2020.02.002 https://doaj.org/article/a20fd92ff9984859a25f57092fa8de36 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S2352013220300387 https://doaj.org/toc/2352-0132 2352-0132 doi:10.1016/j.ijnss.2020.02.002 https://doaj.org/article/a20fd92ff9984859a25f57092fa8de36 International Journal of Nursing Sciences, Vol 7, Iss 2, Pp 161-169 (2020) Health manpower Infant mortality Nursing staff Organisation for Economic Co-operation and Development Perinatal mortality Nursing RT1-120 article 2020 ftdoajarticles https://doi.org/10.1016/j.ijnss.2020.02.002 2022-12-31T00:17:23Z Objectives: To investigate the magnitude of effect nurse staffing had on decreasing the newborn mortality rates in member countries of Organisation for Economic Co-operation and Development (OECD). Methods: The statistical technique of panel data analysis was applied to explore the possibility of association between the number of nurses’ density per 1,000 population and infant, neonatal and perinatal mortality rates (IMR, NMR and PMR) per 1000 births. The observations of 35 OECD countries were collected over the period of 2000 through 2016. Results: There were significant associations between nurse staffing and IMR, NMR and PMR i.e. a 1% increase in nurse-staffing level reduced IMR, NMR and PMR by 0.98%, 0.97% and 0.96%, respectively. Furthermore, the role of nursing-related services in declining the average of newborn mortality rates were investigated at the highest level in Slovenia (−5.50), Sweden (−3.34), Iceland (−2.51), Czech Republic (−1.86), Japan (−1.64) and Finland (−1.64). Moreover, if the current relationship between nurse-staffing level and newborn mortality rates are disturbed with nursing shortage (e.g. in Slovak Republic and Israel), then it takes about 17 years for the mortality rates to reduce and restore back to the previous equilibrium. Conclusions: A higher proportion of nurses’ density per 1,000 population is associated with lower newborn mortality rates. In addition, the nursing-related services of Slovenia, Sweden, Iceland, Czech Republic, Japan and Finland with the highest impact on improving the health level of newborns would be good patterns for other developed countries in maternity and child health care . Article in Journal/Newspaper Iceland Directory of Open Access Journals: DOAJ Articles International Journal of Nursing Sciences 7 2 161 169
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Health manpower
Infant mortality
Nursing staff
Organisation for Economic Co-operation and Development
Perinatal mortality
Nursing
RT1-120
spellingShingle Health manpower
Infant mortality
Nursing staff
Organisation for Economic Co-operation and Development
Perinatal mortality
Nursing
RT1-120
Arshia Amiri
Katri Vehviläinen-Julkunen
Tytti Solankallio-Vahteri
Sirpa Tuomi
Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries
topic_facet Health manpower
Infant mortality
Nursing staff
Organisation for Economic Co-operation and Development
Perinatal mortality
Nursing
RT1-120
description Objectives: To investigate the magnitude of effect nurse staffing had on decreasing the newborn mortality rates in member countries of Organisation for Economic Co-operation and Development (OECD). Methods: The statistical technique of panel data analysis was applied to explore the possibility of association between the number of nurses’ density per 1,000 population and infant, neonatal and perinatal mortality rates (IMR, NMR and PMR) per 1000 births. The observations of 35 OECD countries were collected over the period of 2000 through 2016. Results: There were significant associations between nurse staffing and IMR, NMR and PMR i.e. a 1% increase in nurse-staffing level reduced IMR, NMR and PMR by 0.98%, 0.97% and 0.96%, respectively. Furthermore, the role of nursing-related services in declining the average of newborn mortality rates were investigated at the highest level in Slovenia (−5.50), Sweden (−3.34), Iceland (−2.51), Czech Republic (−1.86), Japan (−1.64) and Finland (−1.64). Moreover, if the current relationship between nurse-staffing level and newborn mortality rates are disturbed with nursing shortage (e.g. in Slovak Republic and Israel), then it takes about 17 years for the mortality rates to reduce and restore back to the previous equilibrium. Conclusions: A higher proportion of nurses’ density per 1,000 population is associated with lower newborn mortality rates. In addition, the nursing-related services of Slovenia, Sweden, Iceland, Czech Republic, Japan and Finland with the highest impact on improving the health level of newborns would be good patterns for other developed countries in maternity and child health care .
format Article in Journal/Newspaper
author Arshia Amiri
Katri Vehviläinen-Julkunen
Tytti Solankallio-Vahteri
Sirpa Tuomi
author_facet Arshia Amiri
Katri Vehviläinen-Julkunen
Tytti Solankallio-Vahteri
Sirpa Tuomi
author_sort Arshia Amiri
title Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries
title_short Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries
title_full Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries
title_fullStr Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries
title_full_unstemmed Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries
title_sort impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: evidence from panel data analysis in 35 oecd countries
publisher Elsevier
publishDate 2020
url https://doi.org/10.1016/j.ijnss.2020.02.002
https://doaj.org/article/a20fd92ff9984859a25f57092fa8de36
genre Iceland
genre_facet Iceland
op_source International Journal of Nursing Sciences, Vol 7, Iss 2, Pp 161-169 (2020)
op_relation http://www.sciencedirect.com/science/article/pii/S2352013220300387
https://doaj.org/toc/2352-0132
2352-0132
doi:10.1016/j.ijnss.2020.02.002
https://doaj.org/article/a20fd92ff9984859a25f57092fa8de36
op_doi https://doi.org/10.1016/j.ijnss.2020.02.002
container_title International Journal of Nursing Sciences
container_volume 7
container_issue 2
container_start_page 161
op_container_end_page 169
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