Literature DB >> 17395840

Social inequalities in perinatal mortality in Belo Horizonte, Brazil: the role of hospital care.

Sônia Lansky1, Elisabeth França, Ichiro Kawachi.   

Abstract

OBJECTIVES: We examined the contribution of hospital type and quality of care to perinatal mortality rates in the city of Belo Horizonte, Brazil.
METHODS: We used a cohort study of all births (40953) and perinatal deaths (826) in Belo Horizonte in1999. After adjusting for maternal education and birthweight, we compared mortality rates according to hospital category--defined by a hospital's relation to the national Universal Public Health System (SUS)--and quality of care. We used the Wigglesworth Classification to examine perinatal deaths.
RESULTS: After we controlled for birthweight and maternal education, the highest perinatal death rates were observed in private and philanthropic SUS-contracted hospitals (relative to private, non-SUS-contracted hospitals). Hospital quality was also directly associated with perinatal death rates. Mortality rates were especially high for normal-birthweight babies born in private SUS-contracted hospitals. Intrapartum asphyxia was the leading cause of preventable death.
CONCLUSIONS: In a class-segregated health care system, such as Brazil's, disparities in quality of care between SUS-contracted and non-SUS-contracted hospitals contribute to the unacceptably high rates of perinatal mortality.

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Mesh:

Year:  2007        PMID: 17395840      PMCID: PMC1854859          DOI: 10.2105/AJPH.2005.075986

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  28 in total

1.  [Avoidable perinatal deaths and obstetric health care structure in the public health care system: a case study in a city in greater metropolitan Rio de Janeiro].

Authors:  M L Rosa; V A Hortale
Journal:  Cad Saude Publica       Date:  2000 Jul-Sep       Impact factor: 1.632

2.  [Risk factors for neonatal and post-neonatal mortality in the Central-West region of Brazil: linkage between live birth and infant death data banks].

Authors:  O L Morais Neto; M B Barros
Journal:  Cad Saude Publica       Date:  2000 Apr-Jun       Impact factor: 1.632

3.  Use of Wigglesworth classification for the assessment of perinatal mortality in Bangladesh--a preliminary study.

Authors:  K Azad; A H M Abdullah; N Nahar; L A Banu; M Shahidullah; R Begum; R R Roy; M G Faruque; S Akhter
Journal:  Bangladesh Med Res Counc Bull       Date:  2003-08

4.  Challenges in saving babies--avoidable factors, missed opportunities and substandard care in perinatal deaths in South Africa.

Authors:  R C Pattinson
Journal:  S Afr Med J       Date:  2003-06

5.  [Accidental home deliveries in southern São Paulo, Brazil].

Authors:  Márcia Furquim de Almeida; Gizelton Pereira Alencar; Maria Hillegonda Dutilh Novaes; Ivan França; Arnaldo Augusto Siqueira; Daniela Schoeps; Oona Campbell; Laura Rodrigues
Journal:  Rev Saude Publica       Date:  2005-06-30       Impact factor: 2.106

6.  [Avoidable perinatal deaths in Belo Horizonte, Minas Gerais, Brazil, 1999].

Authors:  Sônia Lansky; Elisabeth Franca; Maria do Carmo Leal Md
Journal:  Cad Saude Publica       Date:  2002 Sep-Oct       Impact factor: 1.632

Review 7.  The anatomy of a disparity in infant mortality.

Authors:  Paul H Wise
Journal:  Annu Rev Public Health       Date:  2001-11-06       Impact factor: 21.981

8.  Ethnicity and infant health in Southern Brazil. A birth cohort study.

Authors:  F C Barros; C G Victora; B L Horta
Journal:  Int J Epidemiol       Date:  2001-10       Impact factor: 7.196

9.  Perinatal health and mother-child health care in the municipality of São Luís, Maranhão State, Brazil.

Authors:  A A de Silva; L C Coimbra; R A da Silva; M T Alves; F Lamy Filho; Z Carvalho Lamy; E Gomide Mochel; V M Aragão; V S Ribeiro; S R Tonial; M A Barbieri
Journal:  Cad Saude Publica       Date:  2001 Nov-Dec       Impact factor: 1.632

10.  Applying an equity lens to child health and mortality: more of the same is not enough.

Authors:  Cesar G Victora; Adam Wagstaff; Joanna Armstrong Schellenberg; Davidson Gwatkin; Mariam Claeson; Jean-Pierre Habicht
Journal:  Lancet       Date:  2003-07-19       Impact factor: 79.321

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  6 in total

Review 1.  The impact of disasters on populations with health and health care disparities.

Authors:  Jennifer R Davis; Sacoby Wilson; Amy Brock-Martin; Saundra Glover; Erik R Svendsen
Journal:  Disaster Med Public Health Prep       Date:  2010-03       Impact factor: 1.385

Review 2.  Reducing stillbirths: interventions during labour.

Authors:  Gary L Darmstadt; Mohammad Yawar Yakoob; Rachel A Haws; Esme V Menezes; Tanya Soomro; Zulfiqar A Bhutta
Journal:  BMC Pregnancy Childbirth       Date:  2009-05-07       Impact factor: 3.007

3.  Spatial patterns of preventable perinatal mortality in Salvador, Bahia, Brazil.

Authors:  Rita de Cássia de Sousa Nascimento; Maria da Conceição Nascimento Costa; José Uéleres Braga; Márcio Santos da Natividade
Journal:  Rev Saude Publica       Date:  2017-08-17       Impact factor: 2.106

4.  A meta-analysis of selected maternal and fetal factors for perinatal mortality.

Authors:  Yifru Berhan; Asres Berhan
Journal:  Ethiop J Health Sci       Date:  2014-09

5.  A meta-analysis of socio-demographic factors for perinatal mortality in developing countries: a subgroup analysis of the national surveys and small scale studies.

Authors:  Yifru Berhan; Asres Berhan
Journal:  Ethiop J Health Sci       Date:  2014-09

6.  Better than nothing? maternal, newborn, and child health services and perinatal mortality, Lubumbashi, democratic republic of the Congo: a cohort study.

Authors:  Abel Mukengeshayi Ntambue; Françoise Kaj Malonga; Michele Dramaix-Wilmet; Roger Nlandu Ngatu; Philippe Donnen
Journal:  BMC Pregnancy Childbirth       Date:  2016-04-26       Impact factor: 3.007

  6 in total

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