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Updated: Mar 10, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Beyond utilization: measuring effective coverage of obstetric care along the quality cascade
Elysia Larson1, Daniel Vail2, Godfrey M Mbaruku3
1Department of Global Health and Population, Harvard T. H. Chan School of Public Health, 665 Huntington Avenue, Bldg 1, 11th floor, Boston, MA 02115, USA.
Objective:
To determine the effective coverage of obstetric care in a rural Tanzanian region and to assess differences in effective coverage by wealth.
Design:
Cross-sectional structured interviews.
Setting:
Pwani Region, Tanzania.
Participants:
The study includes 24 rural, government-managed, primary healthcare clinics and their catchment populations. From January-April 2016, we conducted a household survey of a census of women with recent deliveries, health worker knowledge surveys and facility audits.
Main Outcome Measures:
We explored the proportion of women receiving quality care through the cascade and conducted an equity analysis by wealth.
Results:
In total, 2,910 of 3,564 women (81.6%) reported delivering their most recent child in a health facility, 1,096 of whom delivered in a study facility. Using a minimum threshold of quality, the effective coverage of obstetric care was 25%. Quality was lowest in the emergency care dimensions, with the average score on the provider knowledge tests at 47% and the average provision of basic emergency obstetric services below 50%. The wealthiest 20% of women were 4.1 times as likely to deliver in facilities offering at least the minimum threshold of quality care through the cascade compared to the poorest 80% of women (95% confidence interval: 1.5-11.3).
Conclusions:
Effective coverage of delivery care is very low, particularly among poorer women. Health worker knowledge caused the sharpest decline in effective coverage. Measures of effective coverage are a better performance measure of under-resourced health systems than utilization. Equity analyses can further identify important discrepancies in quality across socio-economic levels.
Trial Registration:
ISRCTN 17107760.
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