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Spoilt for choice? Cross-sectional study of care-seeking for health problems during pregnancy in Mumbai slums.
- Source :
-
Global Public Health . Oct2011, Vol. 6 Issue 7, p746-759. 14p. 1 Diagram, 3 Charts, 2 Graphs. - Publication Year :
- 2011
-
Abstract
- This study considers care-seeking patterns for maternal morbidity in Mumbai's slums. Our objectives were to document women's self-reported symptoms and care-seeking, and to quantify their choice of health provider, care-seeking delays and referrals between providers. The hypothesis that care-seeking sites for maternal morbidity mirror those used for antenatal care was also tested. We analysed data for 10,754 births in 48 slum areas and interviewed mothers about their illnesses and care-seeking during pregnancy. Institutional care-seeking was high across the board (>80%), and higher for ‘trigger’ symptoms suggestive of complications (>88%). Private-sector care was preferred, and increased with socio-economic status, although public providers also played an important role. Most women sought treatment at the same site they received their antenatal care, most were treated within 2 days, and less than 2% were referred to other providers. Our findings suggest that poor women in Mumbai recognise symptoms of obstetric complications and the need for health care. However, that more than 80% also sought care for minor conditions implies that the tendency to seek institutional care for serious conditions reflects a broader picture of care-seeking for all illnesses. The role of private health-care providers needs greater recognition, and further research is required on provider motivations and behaviour. [ABSTRACT FROM AUTHOR]
- Subjects :
- *OUTPATIENT medical care
*COMMUNITY health services
*HEALTH behavior
*HEALTH facilities
*INTERVIEWING
*MATERNAL health services
*POVERTY
*PREGNANCY complications
*PRENATAL care
*RESEARCH funding
*STATISTICAL sampling
*URBAN health
*PRIVATE sector
*SAMPLE size (Statistics)
*PUBLIC sector
*MULTIPLE regression analysis
*SYMPTOMS
*CROSS-sectional method
*DATA analysis software
Subjects
Details
- Language :
- English
- ISSN :
- 17441692
- Volume :
- 6
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Global Public Health
- Publication Type :
- Academic Journal
- Accession number :
- 65216523
- Full Text :
- https://doi.org/10.1080/17441692.2010.520725