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Improving program targeting to combat early-life mortality by identifying high-risk births: an application to India.

ABSTRACT: BACKGROUND:It is widely recognized that there are multiple risk factors for early-life mortality. In practice most interventions to curb early-life mortality target births based on a single risk factor, such as poverty. However, most premature deaths are not from the targeted group. Thus interventions target many births that are at not at high risk and miss many births at high risk. METHODS:Using data from the second wave of Demographic and Health Surveys from India and a hierarchical Bayesian model, we estimate infant mortality risk for 73.320 infants in India as a function of 4 risk factors. We show how this information can be used to improve program targeting. We compare our novel approach against common programs that target groups based on a single risk factor. RESULTS:A conventional approach that targets mothers in the lowest quintile of income correctly identifies only 30% of infant deaths. By contrast, using four risk factors simultaneously we identify a group of births of the same size that includes 57% of all deaths. Using the 2012 census to translate these percentages into numbers, there were 25.642.200 births in 2012 and 4.4% died before the age of one. Our approach correctly identifies 643.106 of 1.128.257 infant deaths while poverty only identifies 338.477 infant deaths. CONCLUSION:Our approach considerably improves program targeting by identifying more infant deaths than the usual approach that targets births based on a single risk factor. This leads to more efficient program targeting. This is particularly useful in developing countries, where resources are lacking and needs are high.

SUBMITTER: Ramos AP

PROVIDER: S-EPMC6108144 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Improving program targeting to combat early-life mortality by identifying high-risk births: an application to India.

Ramos Antonio P AP Weiss Robert E RE Heymann Jody S JS

Population health metrics 20180823 1

<h4>Background</h4>It is widely recognized that there are multiple risk factors for early-life mortality. In practice most interventions to curb early-life mortality target births based on a single risk factor, such as poverty. However, most premature deaths are not from the targeted group. Thus interventions target many births that are at not at high risk and miss many births at high risk.<h4>Methods</h4>Using data from the second wave of Demographic and Health Surveys from India and a hierarch ...[more]

PMID: 30139376

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Project description:Evidence-based practices that reduce childbirth-related morbidity and mortality are core processes to quality of care. In the BetterBirth trial, a matched-pair, cluster-randomised controlled trial of a coaching-based implementation of the WHO Safe Childbirth Checklist (SCC) in Uttar Pradesh, India, we observed a significant increase in adherence to practices, but no reduction in perinatal mortality. Within the BetterBirth trial, we observed birth attendants in a subset of study sites providing care to labouring women to assess the adherence to individual and groups of practices. We observed care from admission to the facility until 1 hour post partum. We followed observed women/newborns for 7-day perinatal health outcomes. Using this observational data, we conducted a post-hoc, exploratory analysis to understand the relationship of birth attendants' practice adherence to perinatal mortality. Across 30 primary health facilities, we observed 3274 deliveries and obtained 7-day health outcomes. Adherence to individual practices, containing supply preparation and direct provider care, varied widely (0·51 to 99·78%). We recorded 166 perinatal deaths (50·71 per 1000 births), including 56 (17·1 per 1000) stillbirths. Each additional practice performed was significantly associated with reduced odds of perinatal (OR: 0·82, 95% CI: 0·72, 0·93) and early neonatal mortality (OR: 0·78, 95% CI: 0·71, 0·85). Each additional practice as part of direct provider care was associated strongly with reduced odds of perinatal (OR: 0·73, 95% CI: 0·62, 0·86) and early neonatal mortality (OR: 0·67, 95% CI: 0·56, 0·80). No individual practice or single supply preparation was associated with perinatal mortality. Adherence to practices on the WHO SCC is associated with reduced mortality, indicating that adherence is a valid indicator of higher quality of care. However, the causal relationships between practices and outcomes are complex. Bill & Melinda Gates Foundation. ClinicalTrials.gov: NCT02148952; Universal Trial Number: U1111-1131-5647.

Project description:BackgroundIn Madhya Pradesh, India, the government invited private obstetric hospitals for partnership to provide intrapartum care to poor women, paid for by the state. This statewide program, the Janani Sahayogi Yojana (JShY or maternal support scheme), ran from 2006 to 2012. The partnership was an uneasy one with many private obstetricians choosing to leave the partnership. This paper explores the motives of private obstetricians in the state for participating in the JShY, their experiences within the partnership, their interactions with the state and motives for withdrawal among those who withdrew from the scheme. This study sheds light on the dynamics of a public-private partnership for obstetric care from the perspective of private sector obstetricians.MethodFifteen in-depth interviews were conducted with private obstetricians and hospital administrators from eight districts of Madhya Pradesh who had participated in the JShY. A Framework approach was used to analyze the data.ResultsPrivate obstetricians reported entering the JShY partnership for altruistic reasons but also as way of expanding their practices and reputations. They perceived that although their facilities provided better quality of care than state facilities, participation was risky because beneficiaries were often unbooked and seen as 'high risk' cases. The need to arrange for blood transfusions for these high risk women was perceived as particularly difficult. Cumbersome paper work and delays in receiving payments from the state also dissuaded participation. Some participants felt that there was inadequate engagement by the state, and better monitoring and supervision would have helped. The state changed the financial reimbursement arrangements due to a high proportion of Cesarean births in the early years of the partnership, as these were perversely incentivized. This change resulted in a large exodus of private obstetricians from the partnership.ConclusionThis study highlights the contribution of cumbersome processes, trust deficits and a lack of dialogue between public and private partners. Input from both public and private sectors into the design of a carefully thought through financial reimbursement package for private partners was highlighted as a necessary component for future success of such schemes.

Project description:BackgroundGlobally, 15 million infants are born preterm each year, and 1 million die due to complications of prematurity. Over 60% of preterm births occur in Sub-Saharan Africa and south Asia. Care at birth for premature infants may be critical for survival and long term outcome. We conducted a prospective audit to assess whether women giving birth preterm could be identified, and to describe cord clamping and neonatal care at hospitals in Africa and south Asia.MethodsThis prospective audit of livebirths was conducted at six hospitals in Uganda, Kenya, India and Pakistan. Births were considered preterm if between 28+ 0 and 33+ 6 weeks gestation and/or the birthweight was 1.00 to 1.99 kg. A pre-specified audit plan was agreed with each hospital. Livebirths before 28 weeks gestation with birthweight less than 1.0 kg were excluded. Data were collected on estimated and actual gestation and birthweight, cord clamping, and neonatal care.ResultsOf 4149 women who gave birth during the audit, data were available for 3687 (90%). As 107 were multiple births, 3781 livebirths were included, of which 257 (7%) were preterm. Antenatal assessment correctly identified 148 infants as 'preterm' and 3429 as 'term', giving a positive predictive value of 72% and negative predictive value of 97%. For term births, cord clamping was usually later at the two Ugandan hospitals, median time to clamping 50 and 76 s, compared with 23 at Kenyatta (Kenya), 7 at CMC (India) and 12 at FBH/LNH (Pakistan). At the latter two, timing was similar between term and preterm births, and between vaginal and Caesarean births. For all the hospitals, the cord was clamped quickly at Caesarean births, with Mbale (Uganda) having the highest median time to clamping (15 s 'term', 19 'preterm'). For preterm infants temperature on admission to the neonatal unit was below 35.5 °C for 50%, and 59 (23%) died before hospital discharge.ConclusionsAntenatal identification of preterm birth was good. Timing of cord clamping varied between hospitals, although at each there was no difference between 'term' and 'preterm' births. For premature infants hypothermia was common, and mortality before hospital discharge was high.

Project description:ImportanceThe World Health Organization recommends that rates of cesarean delivery range from 10% to 15%. India has the largest annual number of births in the world and needs updates of existing estimates.ObjectiveTo provide a new set of estimates of the rates of cesarean delivery and to map regional and socioeconomic disparities within these rates in India.Design, setting, and participantsCross-sectional study primarily based on cross-sectional figures drawn from the fourth round of the National Family and Health Survey conducted from January 20, 2015, through December 4, 2016, by the Indian Institute for Population Sciences in Mumbai. The survey interviewed 699 686 girls and women aged 15 to 49 years and collected information on their last 3 pregnancies since January 2010 (259 627 births). The study population was statistically representative of India's 36 states and Union territories and its 640 districts. The survey also included information on the socioeconomic status of households. The research is based on data tabulations and mapping and on spatial and regression analyses of microdata. Socioeconomic inequalities in access to cesarean deliveries were assessed using the Gini coefficient. Data were analyzed from August to October 2018.Main outcomes and measuresRate of cesarean deliveries by regional and socioeconomic characteristics.ResultsThe cesarean birth rate computed for 699 686 Indian girls and women aged 15 to 49 years (mean [SD] age, 26.8 [5.0] years) was 17.2% (95% CI, 17.1%-17.3%) in 2010 to 2016, which corresponds to an estimated 4.38 million cesarean deliveries per year during the period (95% CI, 4.34-4.41 million) in India. Cesarean birth rates vary widely within the country, with a range of 5.8% (95% CI, 5.1%-6.5%) to 40.1% (95% CI, 38.4%-41.8%) across states and 4.4% (95% CI, 4.3%-4.6%) to 35.9% (35.4%-36.4%) across socioeconomic quintiles. The rate significantly increased from 9.2% (95% CI, 9.1%-9.3%) in 2004 to 2008. According to the recommended 10% to 15% benchmark of cesarean birth rates by the WHO, the estimated deficit of cesarean births in India is 0.5 million per year, whereas the estimated excess of cesarean births is 1.8 million. The overall Gini coefficient of inequality in access to cesarean deliveries is 46.4.Conclusions and relevanceThe rate of cesarean births is increasing in India and has already crossed the World Health Organization threshold of 15%. More research is needed to understand the factors behind the rapid rise of cesarean deliveries among affluent groups and in more developed regions.

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Improving program targeting to combat early-life mortality by identifying high-risk births: an application to India.

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Improving program targeting to combat early-life mortality by identifying high-risk births: an application to India.

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