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 asso...
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fttheseus:oai:www.theseus.fi:10024/353132 2023-05-15T16:48:42+02:00 Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries Amiri, Arshia Vehviläinen-Julkunen, Katri Solankallio-Vahteri, Tytti Tuomi, Sirpa fi=Jyväskylän ammattikorkeakoulu|sv=Jyväskylän ammattikorkeakoulu|en=JAMK University of Applied Sciences| 2020 161-169 http://www.theseus.fi/handle/10024/353132 en eng Elsevier (Singapore) International journal of nursing sciences 2096-6296 2352-0132 7 10.1016/j.ijnss.2020.02.002 2 http://www.theseus.fi/handle/10024/353132 URN:NBN:fi-fe2020120999967 CC BY-NC-ND 4.0 CC-BY-NC-ND 31967 infant mortality perinatal mortality nursing staff OECD countries lapsikuolleisuus perinataalikuolleisuus hoitohenkilöstö publication fi=Publisher's version|sv=Publisher's version|en=Publisher's version| fi=Rinnakkaistallennetut artikkelit|sv=Parallellpublicationer|en=Self-archived articles| fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| 2020 fttheseus 2021-08-17T07:20:23Z 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 . Other/Unknown Material Iceland Theseus.fi (Open Repository of the Universities of Applied Sciences) |
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Theseus.fi (Open Repository of the Universities of Applied Sciences) |
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fttheseus |
language |
English |
topic |
infant mortality perinatal mortality nursing staff OECD countries lapsikuolleisuus perinataalikuolleisuus hoitohenkilöstö |
spellingShingle |
infant mortality perinatal mortality nursing staff OECD countries lapsikuolleisuus perinataalikuolleisuus hoitohenkilöstö Amiri, Arshia Vehviläinen-Julkunen, Katri Solankallio-Vahteri, Tytti Tuomi, Sirpa Impact of nurse staffing on reducing infant, neonatal and perinatal mortality rates: Evidence from panel data analysis in 35 OECD countries |
topic_facet |
infant mortality perinatal mortality nursing staff OECD countries lapsikuolleisuus perinataalikuolleisuus hoitohenkilöstö |
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 . |
author2 |
fi=Jyväskylän ammattikorkeakoulu|sv=Jyväskylän ammattikorkeakoulu|en=JAMK University of Applied Sciences| |
format |
Other/Unknown Material |
author |
Amiri, Arshia Vehviläinen-Julkunen, Katri Solankallio-Vahteri, Tytti Tuomi, Sirpa |
author_facet |
Amiri, Arshia Vehviläinen-Julkunen, Katri Solankallio-Vahteri, Tytti Tuomi, Sirpa |
author_sort |
Amiri, Arshia |
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 (Singapore) |
publishDate |
2020 |
url |
http://www.theseus.fi/handle/10024/353132 |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
31967 |
op_relation |
International journal of nursing sciences 2096-6296 2352-0132 7 10.1016/j.ijnss.2020.02.002 2 http://www.theseus.fi/handle/10024/353132 URN:NBN:fi-fe2020120999967 |
op_rights |
CC BY-NC-ND 4.0 |
op_rightsnorm |
CC-BY-NC-ND |
_version_ |
1766038783644401664 |