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Spatial patterns of preventable perinatal mortality in Salvador, Bahia, Brazil
Nascimento, Rita de Cássia de Sousa; Costa, Maria da Conceição Nascimento; Braga, José Uéleres; Natividade, Márcio Santos da.
Affiliation
  • Nascimento, Rita de Cássia de Sousa; Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador. BR
  • Costa, Maria da Conceição Nascimento; Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador. BR
  • Braga, José Uéleres; Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador. BR
  • Natividade, Márcio Santos da; Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador. BR
Rev. saúde pública (Online) ; 51: 73, 2017. tab, graf
Article in English | LILACS | ID: biblio-903206
Responsible library: BR1.1
ABSTRACT
ABSTRACT OBJECTIVE To identify the spatial distribution patterns and areas of higher risk of preventable perinatal mortality in the city of Salvador, State of Bahia, Brazil. METHODS We carried out a spatial aggregated study in 2007, considering the weighting areas (census tracts contiguous sets) of Salvador, of which the center and north present low life conditions. Data were obtained from national vital statistics systems and the 2010 Census. Addresses of live births and stillbirths were geocoded by weighting area. The spatial distribution of the perinatal mortality rate was analyzed from thematic maps. Spatial dependence was evaluated by the Global and Local Geary's and Moran's Indexes. RESULTS Crude and smoothed perinatal mortality rates were high in areas situated to the north, west, and in center of Salvador. The smoothed rates in weighting areas ranged from 4.9/1,000 to 22.3/1,000 births. Of all perinatal deaths, 92.1% could have been prevented. We identified spatial dependence for preventable perinatal mortality for care in pregnancy, with neighboring areas with high risk in the north of the city. CONCLUSIONS The preventability potential of perinatal mortality was high in Salvador, in 2007. The spatial distribution pattern with higher rates in disadvantaged areas of the city suggests the existence of social inequalities in health. The characteristics of the process of urban development of Salvador, which has inadequate prenatal care, possibly influenced the magnitude and spatial distribution pattern of this mortality.
Subject(s)


Full text: Available Collection: International databases Health context: SDG3 - Health and Well-Being Health problem: Target 3.2: Reduce avoidable death in newborns and children under 5 Database: LILACS Main subject: Perinatal Mortality / Spatial Analysis / Perinatal Death Type of study: Etiology study / Prognostic study / Risk factors Limits: Female / Humans / Infant / Infant, Newborn / Pregnancy Country/Region as subject: South America / Brazil Language: English Journal: Rev. saúde pública (Online) Journal subject: Sa£de P£blica Year: 2017 Document type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal da Bahia/BR

Full text: Available Collection: International databases Health context: SDG3 - Health and Well-Being Health problem: Target 3.2: Reduce avoidable death in newborns and children under 5 Database: LILACS Main subject: Perinatal Mortality / Spatial Analysis / Perinatal Death Type of study: Etiology study / Prognostic study / Risk factors Limits: Female / Humans / Infant / Infant, Newborn / Pregnancy Country/Region as subject: South America / Brazil Language: English Journal: Rev. saúde pública (Online) Journal subject: Sa£de P£blica Year: 2017 Document type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal da Bahia/BR
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