Clusters of cause specific neonatal mortality and its association with per capita gross domestic product: A structured spatial analytical approach

Costa-Nobre, Daniela Testoni; Kawakami, Mandira Daripa; Areco, Kelsy Catherina Nema; Sañudo, Adriana; Balda, Rita de Cássia Xavier; Marinonio, Ana Sílvia Scavacini; Miyoshi, Milton Harumi; Konstantyner, Túlio; Bandiera-Paiva, Paulo; Freitas, Rosa Maria Vieira de; Morais, Liliam Cristina Correia; Teixeira, Magaly Gêmio; Waldvogel, Bernadette Cunha; Almeida, Maria Fernanda Branco de; Guinsburg, Ruth; Kiffer, Carlos Roberto Veiga

doi:10.1371/journal.pone.0255882

Cited by 4 publications

(3 citation statements)

References 17 publications

(31 reference statements)

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“…Studies have demonstrated the benefits of vaginal delivery (Harrison et al, 2017;He et al, 2016;Holmes et al, 2020). Authors state that the type of delivery is associated with reduced neonatal mortality (Adewuyi & Zhao, 2017;Patel et al, 2020;Testoni Costa-Nobre et al, 2021), as we found for LNM. Vaginal delivery should be encouraged by the ESF team so that women are clear about their rights and information on pre, trans, and postpartum.…”

Section: Discussionsupporting

confidence: 76%

Are Primary Health Care Features Associated with Reduced Late Neonatal Mortality in Brazil? An Ecological Study

Pasklan

Rocha

Queiroz

et al. 2021

Matern Child Health J

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Objective To analyze the effect and efficiency of the characteristics of PHC facilities' structures and the work process of PHC teams on late neonatal mortality (LNM). Methods This ecological time-series study adopted 3.764 Brazilian municipalities as analysis units. The independent variables were sorted into three hierarchical levels and four blocks. The distal level consisted of economic and demographic variables; the intermediate level comprised health coverage and demand for services; and the proximal level included structure and work process. The dependent variable was LNM. A linear mixed-effects regression analysis with a hierarchical approach was performed, estimating the crude (β) and adjusted (alpha = 5%) regression coefficients. Data involution analysis and municipalities were the decision-making unit according to their strata. Results LNM was directly associated with the number of live births and unemployment rate. LNM was inversely associated with the year, per capita income, the community health worker's strategy coverage, vaginal delivery, household visits, and available vaccines. In the 2002-2014 period, the number of municipalities efficient in reducing LNM dropped from 38 to 27. In 2014, a more significant investment occurred in the number of vaginal deliveries in almost all strata to make inefficient municipalities efficient. Conclusion for PracticeThe deaths of children aged 7-28 days are affected by the characteristics of the PHC structure and work process. Keyword Infant mortality • Neonatal mortality • Primary health care • Epidemiology of health services SignificanceWhat is Already Known? Studies show the effect of primary health care actions on the late neonatal mortality in developing countries. But they do not yet jointly consider the role of different elements of the structure and work process. What this Study Adds?The role of different elements of the structure and work process of primary health care teams affect late neonatal mortality: household visits, community health workers strategy coverage and increase the availability of vaccines.

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Section: Discussionsupporting

confidence: 76%

Are Primary Health Care Features Associated with Reduced Late Neonatal Mortality in Brazil? An Ecological Study

Pasklan

Rocha

Queiroz

et al. 2021

Matern Child Health J

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“…Worldwide, the impact of ME factors on IMR has been discussed in various articles, usually highlighting the impact of gross domestic product per capita (GDPpc) increase on reducing IMR [15,24]. An ecological study has indicated the presence of this phenomenon in 83 low-income and middle-income countries [25].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Sociodemographic, Macroeconomic, and Health Status and Resources on Infant Mortality Rates in Oman: Evidence from 1980 to 2022

Eltayib¹,

Al-Azri²,

Chan³

2023

Preprint

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Background: The infant mortality rate (IMR) is an important reflection of the well-being of infants and the overall health of the population. This study aims to examine the macroeconomic (ME), sociodemographic (SD), and health status and resources (HSR) effects on IMR, as well as how they may interact with each other. Methods: A retrospective time-series study using yearly data for Oman from 1980 to 2022. Partial Least Squares-Structural Equation Modelling (PLS-SEM) was utilized to develop the exploratory model of the determinants of IMR. Results: The model indicates that HSR determinants directly but negatively affect IMR (= -0.617, p&lt;0.001). SD directly and positively affects IMR (= 0.447, p&lt;0.001). ME only indirectly affects IMR (=-0.854, p&lt;0.001). ME determinants also exert some direct influences on both HSR (= 0.722, p&lt;0.001) and SD (= -0.916, p&lt;0.001) determinants. Conclusions: These findings indicate that an integrated policy that addresses socioeconomic and health-related factors and the overall ME environment is necessary for the health and well-being of the children and the population overall in Oman.

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“…Worldwide, the impact of ME factors on IMR has been discussed in various articles, usually highlighting the impact of gross domestic product per capita (GDPpc) increase on reducing IMR [ 15 , 23 ]. An ecological study has indicated the presence of this phenomenon in 83 low-income and middle-income countries [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Sociodemographic, Macroeconomic, and Health Status and Resources on Infant Mortality Rates in Oman: Evidence from 1980 to 2022

Eltayib

Al-Azri

Chan

2023

EJIHPE

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Background: The infant mortality rate (IMR) is an important reflection of the well-being of infants and the overall health of the population. This study aims to examine the macroeconomic (ME), sociodemographic (SD), and health status and resources (HSR) effects on IMR, as well as how they may interact with each other. Methods: A retrospective time-series study using yearly data for Oman from 1980 to 2022. Partial Least Squares-Structural Equation Modelling (PLS-SEM) was utilized to develop the exploratory model of the determinants of IMR. Results: The model indicates that HSR determinants directly, but negatively, affect IMR (β = −0.617, p < 0.001). SD directly and positively affects IMR (β = 0.447, p < 0.001). ME only indirectly affects IMR (β = −0.854, p < 0.001). ME determinants also exert some direct influences on both HSR (β = 0.722, p < 0.001) and SD (β = −0.916, p < 0.001) determinants. Conclusions: This study has indicated that IMR is a multi-faceted issue. It also highlighted the interplay of numerous variables and their influence on IMR, particularly the role that social status, the health sector, and the wealth of the country and its population play in reducing IMR. These findings indicate that an integrated policy that addresses socioeconomic and health-related factors and the overall ME environment is necessary for the health and well-being of the children and the population overall in Oman.

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Clusters of cause specific neonatal mortality and its association with per capita gross domestic product: A structured spatial analytical approach

Cited by 4 publications

References 17 publications

Are Primary Health Care Features Associated with Reduced Late Neonatal Mortality in Brazil? An Ecological Study

Are Primary Health Care Features Associated with Reduced Late Neonatal Mortality in Brazil? An Ecological Study

The Impact of Sociodemographic, Macroeconomic, and Health Status and Resources on Infant Mortality Rates in Oman: Evidence from 1980 to 2022

The Impact of Sociodemographic, Macroeconomic, and Health Status and Resources on Infant Mortality Rates in Oman: Evidence from 1980 to 2022

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