Spatial patterns of avoidable fetal mortality and social deprivation

Canuto, Indianara Maria de Barros; Macêdo, Vilma Costa de; Frias, Paulo Germano de; Oliveira, Conceição Maria de; Costa, Heitor Victor Veiga da; Portugal, José Luiz; Bonfim, Cristine Vieira do

doi:10.1590/1980-549720210007.supl.1

Cited by 5 publications

(3 citation statements)

References 27 publications

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“…This rate is an indicator that reflects the access and quality of healthcare services and signals the existence of deficiencies in the healthcare provided 11 . This gradient is consistent with the result obtained in a capital in Northeastern Brazil, which also identified an increase in the rates of avoidable fetal mortality in regions marked by the presence of greater social deprivation 28 .…”

Section: Discussionsupporting

confidence: 91%

Intra-urban differentials of fetal mortality in clusters of social vulnerability in São Paulo Municipality, Brazil

Marques

Silva

Moura

et al. 2021

Sci Rep

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This study aimed to analyze the distribution of stillbirths by birth weight, type of death, the trend of Stillbirth Rate (SBR), and avoidable causes of death, according to social vulnerability clusters in São Paulo Municipality, 2007–2017. Social vulnerability clusters were created with the k-means method. The Prais-Winsten generalized linear regression was used in the trend of SBR by < 2500 g, ≥ 2500 g, and total deaths analysis. The Brazilian list of avoidable causes of death was adapted for stillbirths. There was a predominance of antepartum stillbirths (70%). There was an increase in SBR with the growth of social vulnerability from the center to the outskirts of the city. The cluster with the highest vulnerability presented SBR 69% higher than the cluster with the lowest vulnerability. SBR ≥ 2500 g was decreasing in the clusters with the high vulnerability. There was an increase in SBR of avoidable causes of death of the cluster from the lowest to the highest vulnerability. Ill-defined causes of death accounted for 75% of deaths in the highest vulnerability area. Rates of fetal mortality and avoidable causes of death increased with social vulnerability. The trend of reduction of SBR ≥ 2500 g may suggest improvement in prenatal care in areas of higher vulnerability.

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Section: Discussionsupporting

confidence: 91%

Intra-urban differentials of fetal mortality in clusters of social vulnerability in São Paulo Municipality, Brazil

Marques

Silva

Moura

et al. 2021

Sci Rep

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“…In addition, the social dynamics of health problems differ spatially (Yourkavitch et al, 2018). A study carried out in different municipalities in the state of Pernambuco, Brazil, showed that variables representing social need are related to foetal mortality (Canuto et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

“…The presence of clusters at the municipality level in a large part of Pernambuco State found in this study reflects health inequalities. There is a need to identify the barriers access to primary healthcare services and the quality provided there (Canuto et al, 2021). In economically disadvantaged places, spatial differences regarding early neonatal mortality rates are linked to health inequalities and, consequently, also to uneven distribution of, and differentiated access to, healthcare services (Boutayeb et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

Silva¹,

Araújo²,

Silva³

et al. 2022

Geospat Health

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This is an ecological study analysing spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes using data from the mortality information system (SIM) and live birth information system (SINASC) based on the municipalities of Pernambuco State, Brazil. The total mortality rates over the first 24 hours and that due to preventable causes were calculated for each municipality for the decades of 2000 to 2009 and for 2010 to 2019 to enable a comparison of the spatial patterns with spatial scan statistic used to identify clusters. Over the first 24 hours of life, a total of 13,571 deaths were reported, out of which 10,476 (77.2%) were preventable. The total mortality rate over the first 24 hours of life decreased from 5.5 in the 2000- 2009 period to 3.7 per 1000 live births in the following decade: a reduction of 32.7%, while the mortality rate due to preventable causes decreased from 4.4 to 2.8 per 1000 live births, a reduction of 36.7%. In the first decade, spatial exploratory analysis found three mortality rate clusters encompassing 56 municipalities over the first 24 hours of life. With respect to preventable causes over the first 24 hours of life, two mortality rate clusters were identified encompassing 41 municipalities. Risk areas for mortality over the first 24 hours of life were detected through spatial scan statistic. This method, directed towards uncovering the geographical distribution of deaths of very premature infants, can act as a tool for identifying priority areas to guide healthcare interventions.

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Analysis of association between low birth weight and socioeconomic deprivation level in Japan: an ecological study using nationwide municipal data

Okui

Nakashima

2022

matern health, neonatol and perinatol

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Background Several international studies have indicated an association between socioeconomic deprivation levels and adverse birth outcomes. In contrast, those investigating an association between socioeconomic status and low birth weight using nationwide data are limited in Japan. In this study, we investigated an association between municipal socioeconomic deprivation level and low birth weight by an ecological study. Methods Nationwide municipal-specific Vital Statistics data from 2013 to 2017 were used. We calculated the low birth weight rate and standardized incidence ratio (SIR) for low birth weight for each municipality and plotted them on a Japanese map. Furthermore, the correlation coefficient between them and the deprivation level were calculated. In addition, a spatial regression model including other municipal characteristics was used to investigate an association between low birth weight and the deprivation level. Results Municipalities with relatively high SIR for low birth weight were dispersed across all of Japan. The correlation coefficient between the socioeconomic deprivation level and low birth weight rate was 0.196 (p-value < 0.001) among municipalities, and that between the socioeconomic deprivation level and the SIR for low birth weight was 0.260 (p-value < 0.001). In addition, the spatial regression analysis showed the deprivation level was significantly and positively associated with low birth weight. Conclusions The socioeconomic deprivation level and low birth weight were positively associated, and a further study using individual data is warranted to verify reasons for the association.

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Spatial patterns of avoidable fetal mortality and social deprivation

Cited by 5 publications

References 27 publications

Intra-urban differentials of fetal mortality in clusters of social vulnerability in São Paulo Municipality, Brazil

Intra-urban differentials of fetal mortality in clusters of social vulnerability in São Paulo Municipality, Brazil

Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

Analysis of association between low birth weight and socioeconomic deprivation level in Japan: an ecological study using nationwide municipal data

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