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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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 |
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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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1766038797975289856 |