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. 2019 Aug;7(8):e1074-e1087.
doi: 10.1016/S2214-109X(19)30165-2.

Does facility birth reduce maternal and perinatal mortality in Brong Ahafo, Ghana? A secondary analysis using data on 119 244 pregnancies from two cluster-randomised controlled trials

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Does facility birth reduce maternal and perinatal mortality in Brong Ahafo, Ghana? A secondary analysis using data on 119 244 pregnancies from two cluster-randomised controlled trials

Sabine Gabrysch et al. Lancet Glob Health. 2019 Aug.

Abstract

Background: Maternal and perinatal mortality are still unacceptably high in many countries despite steep increases in facility birth. The evidence that childbirth in facilities reduces mortality is weak, mainly because of the scarcity of robust study designs and data. We aimed to assess this link by quantifying the influence of major determinants of facility birth (cluster-level facility birth, wealth, education, and distance to childbirth care) on several mortality outcomes, while also considering quality of care.

Methods: Our study is a secondary analysis of surveillance data on 119 244 pregnancies from two large population-based cluster-randomised controlled trials in Brong Ahafo, Ghana. In addition, we specifically collected data to assess quality of care at all 64 childbirth facilities in the study area. Outcomes were direct maternal mortality, perinatal mortality, first-day and early neonatal mortality, and antepartum and intrapartum stillbirth. We calculated cluster-level facility birth as the percentage of facility births in a woman's village over the preceding 2 years, and we computed distances from women's regular residence to health facilities in a geospatial database. Associations between determinants of facility birth and mortality outcomes were assessed in crude and multivariable multilevel logistic regression models. We stratified perinatal mortality effects by three policy periods, using April 1, 2005, and July 1, 2008, as cutoff points, when delivery-fee exemption and free health insurance were introduced in Ghana. These policies increased facility birth and potentially reduced quality of care.

Findings: Higher proportions of facility births in a cluster were not linked to reductions in any of the mortality outcomes. In women who were wealthier, facility births were much more common than in those who were poorer, but mortality was not lower among them or their babies. Women with higher education had lower mortality risks than less-educated women, except first-day and early neonatal mortality. A substantially higher proportion of women living in areas closer to childbirth facilities had facility births and caesarean sections than women living further from childbirth facilities, but mortality risks were not lower despite this increased service use. Among women who lived in areas closer to facilities offering comprehensive emergency obstetric care (CEmOC), emergency newborn care, or high-quality routine care, or to facilities that had providers with satisfactory competence, we found a lower risk of intrapartum stillbirth (14·2 per 1000 deliveries at >20 km from a CEmOC facility vs 10·4 per 1000 deliveries at ≤1 km; odds ratio [OR] 1·13, 95% CI 1·06-1·21) and of composite mortality outcomes than among women living in areas where these services were further away. Protective effects of facility birth were restricted to the two earlier policy periods (from June 1, 2003, to June 30, 2008), whereas there was evidence for higher perinatal mortality with increasing wealth (OR 1·09, 1·03-1·14) and lower perinatal mortality with increasing distance from childbirth facilities (OR 0·93, 0·89-0·98) after free health insurance was introduced in July 1, 2008.

Interpretation: Facility birth does not necessarily convey a survival benefit for women or babies and should only be recommended in facilities capable of providing emergency obstetric and newborn care and capable of safe-guarding uncomplicated births.

Funding: The Baden-Württemberg Foundation, the Daimler and Benz Foundation, the European Social Fund and Ministry of Science, Research, and the Arts Baden-Württemberg, WHO, US Agency for International Development, Save the Children, the Bill & Melinda Gates Foundation, and the UK Department for International Development.

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Figures

Figure 1
Figure 1
Health service use and mortality outcomes by cluster-level facility birth, wealth, education, and distance to facilities offering various levels of care Facility birth and caesarean section (right axis), and mortality (left axis) by cluster-level facility birth (A), household wealth (B), mother's education (C), distance to closest childbirth facility of any level (D), distance to closest facility providing CEmOC (E), distance to closest facility providing EmNC (F), distance to closest facility offering high-level routine care (G), and distance to closest facility with satisfactory provider competence (H). CEmOC=comprehensive emergency obstetric care. EmNC=emergency newborn care.
Figure 2
Figure 2
Adjusted effects of cluster-level facility birth (A), household wealth (B), mother's education (C), and distance to closest childbirth facility (D) on health service use and mortality We present ORs and 95% CIs from multilevel multivariable regression models adjusted for age, parity, religion, ethnicity, wealth, education, occupation, multiple birth, birth year, and (in the models with wealth and education as main exposures) distance to the closest comprehensive emergency obstetric care facility, using surveillance data from 2003 (from 2000 for maternal mortality) to 2009 (to 2008 for maternal mortality, antepartum stillbirth, and intrapartum stillbirth). Each panel shows the effects of an exposure on two health service use and seven mortality outcomes. OR=odds ratio. *ORs are per one unit increase in log distance (in km).
Figure 3
Figure 3
Adjusted effects of distance to the closest facility offering CEmOC (A), EmNC (B), high-quality routine care (C), and satisfactory provider competence (D) on health service use and mortality We present ORs and 95% CIs from multilevel multivariable regression models adjusted for age, parity, religion, ethnicity, wealth, education, occupation, multiple birth, and birth year, using surveillance data from 2003 (from 2000 for maternal mortality) to 2009 (to 2008 for maternal mortality, antepartum stillbirth, and intrapartum stillbirth). Each panel shows the effects of distance to a facility offering high-quality care in a certain dimension on two health service use and seven mortality outcomes. CEmOC=comprehensive emergency obstetric care. EmNC=emergency newborn care. OR=odds ratio. *ORs are per one unit increase in log distance (in km).
Figure 4
Figure 4
Effect modification of the association between facility birth and perinatal mortality by time period with different policies We present ORs and 95% CIs from multilevel multivariable regression models adjusted for age, parity, religion, ethnicity, wealth, education, occupation, multiple birth, birth year, and (in the models with wealth and education as main exposures) distance to the closest comprehensive emergency obstetric care facility, using surveillance data from 2003 to 2009. Each panel shows the effects of an exposure (cluster-level facility birth [A], household wealth [B], mother's education [C], distance to closest childbirth facility [D], and distance to closest facility offering CEmOC [E], EmNC [F], high-quality routine care [G], or satisfactory provider competence [H]) on perinatal mortality and its components, stratified by three time periods during which different policies were implemented. Interaction p values are given for the null hypothesis, being no difference in the exposure effects on mortality by time period (comparing the second to the first, and the third to the first period). Exposures are treated as continuous variables, and are continuous over categories for wealth and education. Effects are presented as a change in the odds of death per 20% increase in cluster-level facility birth, per one quintile increase in wealth, per one level increase in education, and per one unit increase in log distance (in km). CEmOC=comprehensive emergency obstetric care. EmNC=emergency newborn care. OR=odds ratio.
Figure 4
Figure 4
Effect modification of the association between facility birth and perinatal mortality by time period with different policies We present ORs and 95% CIs from multilevel multivariable regression models adjusted for age, parity, religion, ethnicity, wealth, education, occupation, multiple birth, birth year, and (in the models with wealth and education as main exposures) distance to the closest comprehensive emergency obstetric care facility, using surveillance data from 2003 to 2009. Each panel shows the effects of an exposure (cluster-level facility birth [A], household wealth [B], mother's education [C], distance to closest childbirth facility [D], and distance to closest facility offering CEmOC [E], EmNC [F], high-quality routine care [G], or satisfactory provider competence [H]) on perinatal mortality and its components, stratified by three time periods during which different policies were implemented. Interaction p values are given for the null hypothesis, being no difference in the exposure effects on mortality by time period (comparing the second to the first, and the third to the first period). Exposures are treated as continuous variables, and are continuous over categories for wealth and education. Effects are presented as a change in the odds of death per 20% increase in cluster-level facility birth, per one quintile increase in wealth, per one level increase in education, and per one unit increase in log distance (in km). CEmOC=comprehensive emergency obstetric care. EmNC=emergency newborn care. OR=odds ratio.

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