Beyond utilization: measuring effective coverage of obstetric care along the quality cascade.

Larson, Elysia, Daniel Vail, Godfrey M Mbaruku, Redempta Mbatia, and Margaret E Kruk. 2017. “Beyond Utilization: Measuring Effective Coverage of Obstetric Care Along the Quality Cascade.”. International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care 29 (1): 104-10.

Abstract

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.

Last updated on 09/10/2025
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