Dataset Information

Estimating the cost-savings associated with bundling maternal and child health interventions: a proposed methodology.

ABSTRACT:

Background

There is a pressing need to include cost data in the Lives Saved Tool (LiST). This paper proposes a method that combines data from both the WHO CHOosing Interventions that are Cost-Effective (CHOICE) database and the OneHealth Tool (OHT) to develop unit costs for delivering child and maternal health services, both alone and bundled.

Methods

First, a translog cost function is estimated to calculate factor shares of personnel, consumables, other direct (variable or recurrent costs excluding personnel and consumables) and indirect (capital or investment) costs. Primary source facility level data from Kenya, Namibia, South Africa, Uganda, Zambia and Zimbabwe are utilized, with separate analyses for hospitals and health centres. Second, the resulting other-direct and indirect factor shares are applied to country unit costs from the WHO CHOICE unit cost database to calculate those portions of unit cost. Third, the remainder of the costs is calculated using default data from the OHT. Fourth, we calculate the effect of bundling services by assuming that a LiST intervention visit takes an average of 20 minutes when delivered alone but only incremental time in addition to the basic visit when delivered in a bundle.

Results

Personnel costs account for the greatest share of costs for both hospitals and health centres at 50% and 38%, respectively. The percentages differ between hospitals and health centres for consumables (21% versus 17%), other direct (7.5% versus 6.75%), and indirect (22% versus 23%) costs. Combining the other-direct and indirect factor shares with the WHO CHOICE database and the other costs from OHT provides a comprehensive cost estimate of LiST interventions. Finally, the cost of six recommended antenatal care (ANC) interventions is $69.76 when delivered alone, but $61.18 when delivered as a bundle, a savings of $8.58 (12.2%).

Conclusions

This paper proposes a method for estimating a comprehensive cost of providing child and maternal health interventions by combining labor, consumables and drug costs from OHT with indirect and other-direct proportional costs from WHO CHOICE. In addition, we demonstrate the potential cost savings that can be achieved from bundling the delivery of essential antenatal care interventions rather than delivering the same interventions alone.

SUBMITTER: Adesina A

PROVIDER: S-EPMC3847650 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Estimating the cost-savings associated with bundling maternal and child health interventions: a proposed methodology.

Adesina Adebiyi A Bollinger Lori A LA

BMC public health 20130917

<h4>Background</h4>There is a pressing need to include cost data in the Lives Saved Tool (LiST). This paper proposes a method that combines data from both the WHO CHOosing Interventions that are Cost-Effective (CHOICE) database and the OneHealth Tool (OHT) to develop unit costs for delivering child and maternal health services, both alone and bundled.<h4>Methods</h4>First, a translog cost function is estimated to calculate factor shares of personnel, consumables, other direct (variable or recurr ...[more]

PMID: 24564386

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Project description:BackgroundWith the date for achieving the targets of the Millennium Development Goals (MDGs) approaching fast, there is a heightened concern about equity, as inequities hamper progress towards the MDGs. Equity-focused approaches have the potential to accelerate the progress towards achieving the health-related MDGs faster than the current pace in a more cost-effective and sustainable manner. Ghana's rate of progress towards MDGs 4 and 5 related to reducing child and maternal mortality respectively is less than what is required to achieve the targets. The objective of this paper is to examine the equity dimension of child and maternal health outcomes and interventions using Ghana as a case study.MethodsData from Ghana Demographic and Health Survey 2008 report is analyzed for inequities in selected maternal and child health outcomes and interventions using population-weighted, regression-based measures: slope index of inequality and relative index of inequality.ResultsNo statistically significant inequities are observed in infant and under-five mortality, perinatal mortality, wasting and acute respiratory infection in children. However, stunting, underweight in under-five children, anaemia in children and women, childhood diarrhoea and underweight in women (BMI < 18.5) show inequities that are to the disadvantage of the poorest. The rates significantly decrease among the wealthiest quintile as compared to the poorest. In contrast, overweight (BMI 25-29.9) and obesity (BMI ? 30) among women reveals a different trend - there are inequities in favour of the poorest. In other words, in Ghana overweight and obesity increase significantly among women in the wealthiest quintile compared to the poorest. With respect to interventions: treatment of diarrhoea in children, receiving all basic vaccines among children and sleeping under ITN (children and pregnant women) have no wealth-related gradient. Skilled care at birth, deliveries in a health facility (both public and private), caesarean section, use of modern contraceptives and intermittent preventive treatment for malaria during pregnancy all indicate gradients that are in favour of the wealthiest. The poorest use less of these interventions. Not unexpectedly, there is more use of home delivery among women of the poorest quintile.ConclusionSignificant Inequities are observed in many of the selected child and maternal health outcomes and interventions. Failure to address these inequities vigorously is likely to lead to non-achievement of the MDG targets related to improving child and maternal health (MDGs 4 and 5). The government should therefore give due attention to tackling inequities in health outcomes and use of interventions by implementing equity-enhancing measure both within and outside the health sector in line with the principles of Primary Health Care and the recommendations of the WHO Commission on Social Determinants of Health.

Project description:Literature describing effective population interventions related to the pregnancy, birth, and post-birth care of international migrants, as defined by them, is scant. Hence, we sought to determine: 1) what processes are used by migrant women to respond to maternal-child health and psychosocial concerns during the early months and years after birth; 2) which of these enhance or impede their resiliency; and 3) which population interventions they suggest best respond to these concerns.Sixteen international migrant women living in Montreal or Toronto who had been identified in a previous study as having a high psychosocial-risk profile and subsequently classified as vulnerable or resilient based on indicators of mental health were recruited. Focused ethnography including in-depth interviews and participant observations were conducted. Data were analyzed thematically and as an integrated whole.Migrant women drew on a wide range of coping strategies and resources to respond to maternal-child health and psychosocial concerns. Resilient and vulnerable mothers differed in their use of certain coping strategies. Social inclusion was identified as an overarching factor for enhancing resiliency by all study participants. Social processes and corresponding facilitators relating to social inclusion were identified by participants, with more social processes identified by the vulnerable group. Several interventions related to services were described which varied in type and quality; these were generally found to be effective. Participants identified several categories of interventions which they had used or would have liked to use and recommended improvements for and creation of some programs. The social determinants of health categories within which their suggestions fell included: income and social status, social support network, education, personal health practices and coping skills, healthy child development, and health services. Within each of these, the most common suggestions were related to creating supportive environments and building healthy public policy.A wealth of data was provided by participants on factors and processes related to the maternal-child health care of international migrants and associated population interventions. Our results offer a challenge to key stakeholders to improve existing interventions and create new ones based on the experiences and views of international migrant women themselves.

Project description:BackgroundNationally representative household surveys are the gold standard for tracking progress in coverage of life-saving maternal and child interventions, but often do not provide timely information on coverage at the local and health facility level. Electronic routine health information system (RHIS) data could help provide this information, but there are currently concerns about data quality. This analysis seeks to improve the usability of and confidence in electronic RHIS data by using adjustments to calculate more accurate numerators and denominators for essential interventions.MethodsData from three sources (Ugandan Demographic and Health (UDHS) survey, electronic RHIS, and census) were used to provide estimates of essential maternal (> 4 antenatal care visits (ANC), skilled delivery, and postnatal care visit (PNC)) and child health interventions (diphtheria, pertussis, tetanus, and hepatitis B and Haemophilus influenzae type b and polio vaccination series, measles vaccination, and vitamin A). Electronic RHIS data was checked for quality and both numerators and denominators were adjusted to improve accuracy. Estimates were compared between the three sources.ResultsEstimates of maternal health interventions from adjusted electronic RHIS data were lower than those of the UDHS, while child intervention estimates were typically higher. Adjustment of electronic RHIS data generally improved accuracy compared with no adjustment. There was considerable agreement between estimates from adjusted, electronic RHIS data, and UDHS for skilled delivery and first dose of childhood vaccination series, but lesser agreement for ANC visits and second and third doses of childhood vaccinations.ConclusionsNationally representative household surveys will likely continue being the gold standard of coverage estimates of maternal and child health interventions, but this analysis shows that current approaches to adjusting health facility estimate works better for some indications than others. Further efforts to improve accuracy of estimates from RHIS sources are needed.

Dataset Information

Estimating the cost-savings associated with bundling maternal and child health interventions: a proposed methodology.

Background

Methods

Results

Conclusions

Publications

Estimating the cost-savings associated with bundling maternal and child health interventions: a proposed methodology.

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