Cited by 32Global Maternal and Child HealthMaternal and Perinatal Health InterventionsReproductive Health and Contraception

Who is left behind on the road to universal facility delivery? A cross‐sectional multilevel analysis in rural T anzania

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Kruk, Margaret E., Hermosilla, Sabrina, Larson, Elysia, Vail, Daniel, Chen, Qixuan, Mazuguni, Festo, Byalugaba, Beatrice, Mbaruku, Godfrey·2015·Tropical Medicine & International Health

Abstract

Objectives: To examine factors associated with home delivery among women in Pwani Region, Tanzania, which has experienced a rapid rise in facility delivery coverage. Methods: Cross‐sectional data from a population‐based survey of women residing in rural areas of Pwani Region were linked to health facility locations. We fitted multilevel logistic models to examine individual and community factors associated with home delivery. Results: A total of 752 (27.95%) of the 2691 women who completed the survey delivered their last child at home. Women were less likely to deliver at home if they had any primary education [odds ratio (OR) 0.62; 95% confidence interval (CI): 0.50, 0.79], were primiparous (OR: 0.52; 95% CI: 0.37, 0.73), had more exposure to media (OR: 0.80; 95% CI: 0.66, 0.96) or had received more (OR: 0.78; 95% CI: 0.63, 0.96) or better quality antenatal care (ANC) services (OR: 0.48; 95% CI: 0.34, 0.67). Increased wealth was strongly associated with lower odds of home delivery (OR: 0.27; 95% CI: 0.18, 0.39), as was living in a village that grew cash crops (OR: 0.56; 95% CI: 0.35, 0.88). Farther distance to hospital, but not to lower level facilities, was associated with higher likelihood of home delivery (OR 2.49; 95% CI: 1.60, 3.88). Conclusions: Poverty, multiparity, weak ANC and distance to hospital were associated with persistence of home delivery in a region with high coverage of facility delivery. A pro‐poor path to universal coverage of safe delivery requires a greater focus on quality of care and more intensive outreach to poor and multiparous women.

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  1. Kruk ME Hermosilla S Larson E Mbaruku GM Bypassing primary care clinics for childbirth: a cross-sectional study in the Pwani region, United Republic of Tanzania Bulletin of the World Health Organization 2014b 92 246 53 24700992 PMC3967574

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Authors
Kruk, M. E., Hermosilla, S., Larson, E., Vail, D., Chen, Q., Mazuguni, F., Byalugaba, B., & Mbaruku, G.
Affiliations
  • Harvard University (US)
  • Columbia University (US)
  • Ifakara Health Institute (TZ)
Corresponding author
Kruk, Margaret E.
Venue
Tropical Medicine & International Health
Publisher
Wiley
Published
2015-04-30
Volume
20
Issue
8
Pages
1057-1066
ISSN
  • 1360-2276 (ISSN-L)
  • 1365-3156
OpenAlex
W1979781213
Cited by
32
References
55
Citations by year
2026: 2 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 4 · 2019: 4 · 2018: 4 · 2017: 5 · 2016: 5 · 2015: 1
FWCI
4.99
Type
journal article
Language
en
Open access
Locations
  • Tropical Medicine & International Health (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Institute of Allergy and Infectious Diseases (1R01 AI093182)
Topics
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
  • Health Sciences › Medicine › Obstetrics and Gynecology › Maternal and Perinatal Health Interventions
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Reproductive Health and Contraception
Keywords
home delivery, institutional delivery, maternal health, prenatal care quality, distance to hospital, poverty, multiparity, primary education, media exposure, cash crops, rural women, Tanzania, universal health coverage
MeSH terms
Adult, Cross-Sectional Studies, Data Collection, Female, Health Services Accessibility, Home Childbirth, Hospitals, Humans, Maternal Health Services, Parity, Patient Acceptance of Health Care, Poverty, Pregnancy, Prenatal Care, Surveys and Questionnaires, Rural Population, Tanzania, Logistic Models, Odds Ratio, Health Care Surveys, Delivery, Obstetric, Healthcare Disparities, Multilevel Analysis, Young Adult

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