Developing and costing local strategies to improve maternal and child health: the investment case framework

Impact of investment case on equitable access to maternal and child health services in Nepal: a quasi-experimental study

BACKGROUND

Disparities in the use of maternal, neonatal and child health (MNCH) services remain a concern in Low- and Middle-Income countries such as Nepal. Commonly observed disparities exist in education, income, ethnic groups, administrative regions and province-level in Nepal. In order to improve equitable outcomes for MNCH and to scale-up quality services, an Investment Case (IC) approach was lunched in the Asia Pacific region. The study assessed the impact of the IC intervention package in maternal and child health outcomes in Nepal.

METHODS

The study used a quasi-experimental design extracting data from the Nepal Demographic Health Surveys - 2011 (pre-assessment) and 2016 (post-assessment) for 16 intervention and 24 control districts. A Difference in Difference (DiD) analysis was conducted to assess the impact of the intervention on maternal and child health outcomes. The linear regression method was used to calculate the DiD, adjusting for potential covariates. The final models were arrived by stepwise backward method including the confounding variables significant at p < 0.05.

RESULTS

The results of the DiD analyses showed at least four antenatal care visits (ANC) decreased in the intervention area (DiD% = - 4.8), while the delivery conducted by skilled birth attendants increased (DiD% = 6.6) compared to control area. However, the adjusted regression coefficient showed that these differences were not significant, indicating a null effect of the intervention. Regarding the child health outcomes, children with underweight (DiD% = 6.3), and wasting (DiD% = 5.4) increased, and stunting (DiD% = - 6.3) decreased in the intervention area compared to control area. The adjusted regression coefficient showed that the difference was significant only for wasting (β = 0.019, p = 0.002), indicating the prevalence of wasting increased in the intervention group compared to the control group.

CONCLUSION

The IC approach implemented in Nepal did not show improvements in maternal and child health outcomes compared to control districts. The use of the IC approach to improve MCH in Nepal should be discussed and, if further used, the process of implementation should be strictly monitored and evaluated.

Investment case approach for equitable access to maternal neonatal and child health services: Stakeholders' perspective in Nepal

BACKGROUND

Investment Case is a participatory approach that has been used over the years for better strategic actions and planning in the health sector. Based on this approach, a District Investment Case (DIC) program was launched to improve maternal, neonatal and child health services in partnership with government, non-government sectors and UNICEF Nepal. In the meantime, this study aimed to explore perceptions and experiences of local stakeholders regarding health planning and budgeting and explore the role of the DIC program in ensuring equity in access to maternal and child health services.

METHODS

This study adopted an exploratory phenomenography design with a purposive sampling technique for data collection. Three DIC implemented districts and three comparison districts were selected and total 30 key informant interviews with district level stakeholders and six focus groups with community stakeholders were carried out. A deductive approach was used to explore the perception of local stakeholders of health planning and budgeting of the health care expenses on the local level.

RESULTS

Investment Case approach helped stakeholders in planning systematically based on evidence through collaborative and participatory approach while in comparison areas previous year plan was mainly primarily considered as reference. Resource constraints and geographical difficulty were key barriers in executing the desired plan in both intervention and comparison districts. Positive changes were observed in coverage of maternal and child health services in both groups. A few participants reported no difference due to the DIC program. The participants specified the improvement in access to information, access and utilization of health services by women. This has influenced the positive health care seeking behavior.

CONCLUSIONS

The decentralized planning and management approach at the district level helps to ensure equity in access to maternal, newborn and child health care. However, quality evidence, inclusiveness, functional feedback and support system and local resource utilization should be the key consideration.

Developing equity-focused interventions for maternal and child health in Nigeria: an evidence synthesis for policy, based on equitable impact sensitive tool (EQUIST)

Introduction

Among the most critical health systems components that requires strengthening to improve maternal, newborn and child health (MNCH) outcomes in Nigeria is the concept of equity. UNICEF has designed the equitable impact sensitive tool (EQUIST) to enable policymakers improve equity in MNCH and reduce disparities between the most marginalized mothers and young children and the better-off.

Methods

Using the latest available DHS data sets, we conducted EQUIST situation and scenario analysis of MNCH outcomes in Nigeria by sub-national categorization, wealth and by residence. We then identified the intervention package, the bottlenecks and strategies to address them and the number of deaths avertible.

Results

EQUIST profile analysis showed that the number of under-five deaths was considerably higher among the poorest and rural population in Nigeria, and was highest in North-West region. Neonatal causes, malaria, pneumonia and diarrhoea were responsible for most of the under-five deaths. Highest maternal mortality was recorded in the North-West Nigeria. Ante-partum, intrapartum and postpartum haemorrhages and hypertensive disorder, were responsible for highest maternal deaths. EQUIST scenario analysis showed that an intervention package of insecticide treated net can avert more than 20,000 under-five deaths and delivery by skilled professionals can avert nearly 17,000 under-five deaths. While as many as 3,370 maternal deaths can be averted by deployment of skilled professionals.

Conclusion

Scaling up integrated packages of essential interventions across the continuum of care, addressing the human resource shortages in rural area and economic/social empowerment of women are policy recommendations that can improve MNCH outcomes in Nigeria.

Bottleneck analysis at district level to illustrate gaps within the district health system in Uganda

Background: Poor quality of care and access to effective and affordable interventions have been attributed to constraints and bottlenecks within and outside the health system. However, there is limited understanding of health system barriers to utilization and delivery of appropriate, high-impact, and cost-effective interventions at the point of service delivery in districts and sub-districts in low-income countries. In this study we illustrate the use of the bottleneck analysis approach, which could be used to identify bottlenecks in service delivery within the district health system.

Methods: A modified Tanahashi model with six determinants for effective coverage was used to determine bottlenecks in service provision for maternal and newborn care. The following interventions provided during antenatal care were used as tracer interventions: use of iron and folic acid, intermittent presumptive treatment for malaria, HIV counseling and testing, and syphilis testing. Data from cross-sectional household and health facility surveys in Mayuge and Namayingo districts in Uganda were used in this study.

Results: Effective coverage and human resource gaps were identified as the biggest bottlenecks in both districts, with coverage ranging from 0% to 66% for effective coverage and from 46% to 58% for availability of health facility staff. Our findings revealed a similar pattern in bottlenecks in both districts for particular interventions although the districts are functionally independent.

Conclusion: The modified Tanahashi model is an analysis tool that can be used to identify bottlenecks to effective coverage within the district health system, for instance, the effective coverage for maternal and newborn care interventions. However, the analysis is highly dependent on the availability of data to populate all six determinants and could benefit from further validation analysis for the causes of bottlenecks identified.

Bottlenecks in the provision of antenatal care: rural settled and mobile pastoralist communities in Chad

OBJECTIVE

To assess antenatal care (ANC) coverage and analyse constraining factors for service delivery to rural settled and mobile populations in two districts in Chad.

METHOD

Data from cross-sectional household and health facility surveys in the two Chadian rural health districts were analysed. First, contact coverage of ANC services in the study area was estimated from household data as the proportion of women who visited health facilities to obtain ANC during their last pregnancy. Second, bottlenecks in the provision of this service were explored by calibrating a multiplicative model of ANC contact coverage to household and health facility data. The model allowed quantification of the magnitude by which coverage decreased as it progressed through the health system. Sensitivity analysis was applied to account for uncertainty around the estimated coverage factors.

RESULTS

Direct estimates revealed that ANC contact coverage decreased as the number of required visits increased: 79% of rural settled mothers and 46% of mobile pastoralist mothers visited a health facility to obtain ANC at least once (ANC 1). Among mobile pastoralists, only 20% of pregnant women attended ANC at least three times compared to 63% of rural settled women. Availability, accessibility, affordability and acceptability contributed to reductions in service coverage in both populations. For mobile pastoralists, acceptability was clearly the most important factor. ANC 1 contact coverage resulting from the model is 50% for rural settled and 30% for mobile pastoralists.

CONCLUSION

Antenatal care coverage was low in rural districts of Chad, particularly for mobile pastoralists. Acceptability largely explained the prevailing difference between the two population groups.

A scoping review of cost benefit analysis in reproductive, maternal, newborn and child health: What we know and what are the gaps?

Growing evidence suggests that early life investments in health are associated with improved human capital and economic outcomes. Various recent global studies have simulated the expected economic returns from alternative packages of interventions in reproductive, maternal, newborn and child health (RMNCH). However, very little is known about the comparability of estimates of the economic returns of RMNCH interventions across studies in low and middle income countries. Our study aims to fill this gap. We performed a comprehensive scoping review of the recent literature (2000-2013) on the economic returns (i.e. benefit-cost ratios) of RMNCH-related interventions, conducted in low and middle income countries. A total of 36 studies were identified. They were read in full and information was abstracted on both the estimates of benefit-cost ratios, the methodological approach and assumptions used. The estimated economic returns fluctuated considerably across settings as the associated costs of disease patterns, social behaviours and health systems varied. Yet, greater sources of variation stemmed from differences in methodology. The observed methodological inconsistencies limit the accuracy and comparability of the estimated returns across various contexts. The reviewed studies suggest that the benefit-cost ratios are favourable in the majority of cases, providing further support to a growing body of economic literature that suggests investments early in life, such as those interventions related to RMNCH, are good investments. Beyond advocacy purposes, for the reviewed literature to be used by policymakers to inform their decisions on investments, a consistent methodological approach should be adopted.

Using mixed methods to evaluate perceived quality of care in southern Tanzania

Objective

To compare perceived quality of maternal and newborn care using quantitative and qualitative methods.

Design

A continuous household survey (April 2011 to November 2013) and in-depth interviews and birth narratives.

Setting

Tandahimba district, Tanzania.

Participants

Women aged 13–49 years who had a birth in the previous 2 years were interviewed in a household survey. Recently delivered mothers and their partners participated in in-depth interviews and birth narratives.

Intervention

None.

Main Outcome Measures

Perceived quality of care.

Results

Quantitative: 1138 women were surveyed and 93% were confident in staff availability and 61% felt that required drugs and equipment would be available. Drinking water was easily accessed by only 60% of respondents using hospitals. Measures of interaction with staff were very positive, but only 51% reported being given time to ask questions. Unexpected out-of-pocket payments were higher in hospitals (49%) and health centres (53%) than in dispensaries (31%). Qualitative data echoed the lack of confidence in facility readiness, out-of-pocket payments and difficulty accessing water, but was divergent in responses about interactions with health staff. More than half described staff interactions that were disrespectful, not polite, or not helpful.

Conclusion

Both methods produced broadly aligned results on perceived readiness, but divergent results on perceptions about client–staff interactions. Benefits and limitations to both quantitative and qualitative approaches were observed. Using mixed methodologies may prove particularly valuable in capturing the user experience of maternal and newborn health services, where they appear to be little used together.

Provider perspectives on the enabling environment required for skilled birth attendance: a qualitative study in western Nepal

OBJECTIVES

In Nepal, where difficult geography and an under-resourced health system contribute to poor health care access, the government has increased the number of trained skilled birth attendants (SBAs) and posted them in newly constructed birthing centres attached to peripheral health facilities that are available to women 24 h a day. This study describes their views on their enabling environment.

METHODS

Qualitative methods included semi-structured interviews with 22 SBAs within Palpa district, a hill district in the Western Region of Nepal; a focus group discussion with ten SBA trainees, and in-depth interviews with five key informants.

RESULTS

Participants identified the essential components of an enabling environment as: relevant training; ongoing professional support; adequate infrastructure, equipment and drugs; and timely referral pathways. All SBAs who practised alone felt unable to manage obstetric complications because quality management of life-threatening complications requires the attention of more than one SBA.

CONCLUSIONS

Maternal health guidelines should account for the provision of an enabling environment in addition to the deployment of SBAs. In Nepal, referral systems require strengthening, and the policy of posting SBAs alone, in remote clinics, needs to be reconsidered to achieve the goal of reducing maternal deaths through timely management of obstetric complications.

A framework for the economic analysis of data collection methods for vital statistics

Background

Over recent years there has been a strong movement towards the improvement of vital statistics and other types of health data that inform evidence-based policies. Collecting such data is not cost free. To date there is no systematic framework to guide investment decisions on methods of data collection for vital statistics or health information in general. We developed a framework to systematically assess the comparative costs and outcomes/benefits of the various data methods for collecting vital statistics.

Methodology

The proposed framework is four-pronged and utilises two major economic approaches to systematically assess the available data collection methods: cost-effectiveness analysis and efficiency analysis. We built a stylised example of a hypothetical low-income country to perform a simulation exercise in order to illustrate an application of the framework.

Findings

Using simulated data, the results from the stylised example show that the rankings of the data collection methods are not affected by the use of either cost-effectiveness or efficiency analysis. However, the rankings are affected by how quantities are measured.

Conclusion

There have been several calls for global improvements in collecting useable data, including vital statistics, from health information systems to inform public health policies. Ours is the first study that proposes a systematic framework to assist countries undertake an economic evaluation of DCMs. Despite numerous challenges, we demonstrate that a systematic assessment of outputs and costs of DCMs is not only necessary, but also feasible. The proposed framework is general enough to be easily extended to other areas of health information.

Health sector priority setting at meso-level in lower and middle income countries: lessons learned, available options and suggested steps

Setting priority for health programming and budget allocation is an important issue, but there is little consensus on related processes. It is particularly relevant in low resource settings and at province- and district- or "meso-level", where contextual influences may be greater, information scarce and capacity lower. Although recent changes in disease epidemiology and health financing suggest even greater need to allocate resources effectively, the literature is relatively silent on evidence-based priority-setting in low and middle income countries (LMICs). We conducted a comprehensive review of the peer-reviewed and grey literature on health resource priority-setting in LMICs, focussing on meso-level and the evidence-based priority-setting processes (PSPs) piloted or suggested there. Our objective was to assess PSPs according to whether they have influenced resource allocation and impacted the outcome indicators prioritised. An exhaustive search of the peer-reviewed and grey literature published in the last decade yielded 57 background articles and 75 reports related to priority-setting at meso-level in LMICs. Although proponents of certain PSPs still advocate their use, other experts instead suggest broader elements to guide priority-setting. We conclude that currently no process can be confidently recommended for such settings. We also assessed the common reasons for failure at all levels of priority-setting and concluded further that local authorities should additionally consider contextual and systems limitations likely to prevent a satisfactory process and outcomes, particularly at meso-level. Recent literature proposes a list of related attributes and warning signs, and facilitated our preparation of a simple decision-tree or roadmap to help determine whether or not health systems issues should be improved in parallel to support for needed priority-setting; what elements of the PSP need improving; monitoring, and evaluation. Health priority-setting at meso-level in LMICs can involve common processes, but will often require additional attention to local health systems.

Improving the quality of maternal and neonatal care: the role of standard based participatory assessments

BACKGROUND

Gaps in quality of care are seriously affecting maternal and neonatal health globally but reports of successful quality improvement cycles implemented at large scale are scanty. We report the results of a nation-wide program to improve quality of maternal and neonatal hospital care in a lower-middle income country focusing on the role played by standard-based participatory assessments.

METHODS

Improvements in the quality of maternal and neonatal care following an action-oriented participatory assessment of 19 areas covering the whole continuum from admission to discharge were measured after an average period of 10 months in four busy referral maternity hospitals in Uzbekistan. Information was collected by a multidisciplinary national team with international supervision through visit to hospital services, examination of medical records, direct observation of cases and interviews with staff and mothers. Scores (range 0 to 3) attributed to over 400 items and combined in average scores for each area were compared with the baseline assessment.

RESULTS

Between the first and the second assessment, all four hospitals improved their overall score by an average 0.7 points out of 3 (range 0.4 to 1), i.e. by 22%. The improvements occurred in all main areas of care and were greater in the care of normal labor and delivery (+0.9), monitoring, infection control and mother and baby friendly care (+0.8) the role of the participatory action-oriented approach in determining the observed changes was estimated crucial in 6 out of 19 areas and contributory in other 8. Ongoing implementation of referral system and new classification of neonatal deaths impede the improved process of care to be reflected in current statistics.

CONCLUSIONS

Important improvements in the quality of hospital care provided to mothers and newborn babies can be achieved through a standard-based action-oriented and participatory assessment and reassessment process.

Impact of a decision-support tool on decision making at the district level in Kenya

BACKGROUND

In many countries, the responsibility for planning and delivery of health services is devolved to the subnational level. Health programs, however, often fall short of efficient use of data to inform decisions. As a result, programs are not as effective as they can be at meeting the health needs of the populations they serve. In Kenya, a decision-support tool, the District Health Profile (DHP) tool was developed to integrate data from health programs, primarily HIV, at the district level and to enable district health management teams to review and monitor program progress for specific health issues to make informed service delivery decisions.

METHODS

Thirteen in-depth interviews were conducted with ten tool users and three non-users in six districts to qualitatively assess the process of implementing the tool and its effect on data-informed decision making at the district level. The factors that affected use or non-use of the tool were also investigated. Respondents were selected via convenience sample from among those that had been trained to use the DHP tool except for one user who was self-taught to use the tool. Selection criteria also included respondents from urban districts with significant resources as well as respondents from more remote, under-resourced districts.

RESULTS

Findings from the in-depth interviews suggest that among those who used it, the DHP tool had a positive effect on data analysis, review, interpretation, and sharing at the district level. The automated function of the tool allowed for faster data sharing and immediate observation of trends that facilitated data-informed decision making. All respondents stated that the DHP tool assisted them to better target existing services in need of improvement and to plan future services, thus positively influencing program improvement.

CONCLUSIONS

This paper stresses the central role that a targeted decision-support tool can play in making data aggregation, analysis, and presentation easier and faster. The visual synthesis of data facilitates the use of information in health decision making at the district level of a health system and promotes program improvement. The experience in Kenya can be applied to other countries that face challenges making district-level, data-informed decisions with data from fragmented information systems.

Impact of a decision-support tool on decision making at the district level in Kenya

BACKGROUND

In many countries, the responsibility for planning and delivery of health services is devolved to the subnational level. Health programs, however, often fall short of efficient use of data to inform decisions. As a result, programs are not as effective as they can be at meeting the health needs of the populations they serve. In Kenya, a decision-support tool, the District Health Profile (DHP) tool was developed to integrate data from health programs, primarily HIV, at the district level and to enable district health management teams to review and monitor program progress for specific health issues to make informed service delivery decisions.

METHODS

Thirteen in-depth interviews were conducted with ten tool users and three non-users in six districts to qualitatively assess the process of implementing the tool and its effect on data-informed decision making at the district level. The factors that affected use or non-use of the tool were also investigated. Respondents were selected via convenience sample from among those that had been trained to use the DHP tool except for one user who was self-taught to use the tool. Selection criteria also included respondents from urban districts with significant resources as well as respondents from more remote, under-resourced districts.

RESULTS

Findings from the in-depth interviews suggest that among those who used it, the DHP tool had a positive effect on data analysis, review, interpretation, and sharing at the district level. The automated function of the tool allowed for faster data sharing and immediate observation of trends that facilitated data-informed decision making. All respondents stated that the DHP tool assisted them to better target existing services in need of improvement and to plan future services, thus positively influencing program improvement.

CONCLUSIONS

This paper stresses the central role that a targeted decision-support tool can play in making data aggregation, analysis, and presentation easier and faster. The visual synthesis of data facilitates the use of information in health decision making at the district level of a health system and promotes program improvement. The experience in Kenya can be applied to other countries that face challenges making district-level, data-informed decisions with data from fragmented information systems.

Investment case for improving maternal and child health: results from four countries

BACKGROUND

Without addressing the constraints specific to disadvantaged populations, national health policies such as universal health coverage risk increasing equity gaps. Health system constraints often have the greatest impact on disadvantaged populations, resulting in poor access to quality health services among vulnerable groups.

METHODS

The Investment Cases in Indonesia, Nepal, Philippines, and the state of Orissa in India were implemented to support evidence-based sub-national planning and budgeting for equitable scale-up of quality MNCH services. The Investment Case framework combines the basic setup of strategic problem solving with a decision-support model. The analysis and identification of strategies to scale-up priority MNCH interventions is conducted by in-country planners and policymakers with facilitation from local and international research partners.

RESULTS

Significant variation in scaling-up constraints, strategies, and associated costs were identified between countries and across urban and rural typologies. Community-based strategies have been considered for rural populations served predominantly by public providers, but this analysis suggests that the scaling-up of maternal, newborn, and child health services requires health system interventions focused on 'getting the basics right'. These include upgrading or building facilities, training and redistribution of staff, better supervision, and strengthening the procurement of essential commodities. Some of these strategies involve substantial early capital expenditure in remote and sparsely populated districts. These supply-side strategies are not only the 'best buys', but also the 'required buys' to ensure the quality of health services as coverage increases. By contrast, such public supply strategies may not be the 'best buys' in densely populated urbanised settings, served by a mix of public and private providers. Instead, robust regulatory and supervisory mechanisms are required to improve the accessibility and quality of services delivered by the private sector. They can lead to important maternal mortality reductions at relatively low costs.

CONCLUSIONS

National strategies that do not take into consideration the special circumstances of disadvantaged areas risk disempowering local managers and may lead to a "business-as-usual" acceptance of unreachable goals. To effectively guide health service delivery at a local level, national plans should adopt typologies that reflect the different problems and strategies to scale up key MNCH interventions.

Supporting local planning and budgeting for maternal, neonatal and child health in the Philippines

Background

Responsibility for planning and delivery of health services in the Philippines is devolved to the local government level. Given the recognised need to strengthen capacity for local planning and budgeting, we implemented Investment Cases (IC) for Maternal, Neonatal and Child Health (MNCH) in three selected sub-national units: two poor, rural provinces and one highly-urbanised city. The IC combines structured problem-solving by local policymakers and planners to identify key health system constraints and strategies to scale-up critical MNCH interventions with a decision-support model to estimate the cost and impact of different scaling-up scenarios.

Methods

We outline how the initiative was implemented, the aspects that worked well, and the key limitations identified in the sub-national application of this approach.

Results

Local officials found the structured analysis of health system constraints helpful to identify problems and select locally appropriate strategies. In particular the process was an improvement on standard approaches that focused only on supply-side issues. However, the lack of data available at the local level is a major impediment to planning. While the majority of the strategies recommended by the IC were incorporated into the 2011 plans and budgets in the three study sites, one key strategy in the participating city was subsequently reversed in 2012. Higher level systemic issues are likely to have influenced use of evidence in plans and budgets and implementation of strategies.

Conclusions

Efforts should be made to improve locally-representative data through routine information systems for planning and monitoring purposes. Even with sound plans and budgets, evidence is only one factor influencing investments in health. Political considerations at a local level and issues related to decentralisation, influence prioritisation and implementation of plans. In addition to the strengthening of capacity at local level, a parallel process at a higher level of government to relieve fund channelling and coordination issues is critical for any evidence-based planning approach to have a significant impact on health service delivery.

Context-specific, evidence-based planning for scale-up of family planning services to increase progress to MDG 5: health systems research

BACKGROUND

Unmet need for family planning is responsible for 7.4 million disability-adjusted life years and 30% of the maternity-related disease burden. An estimated 35% of births are unintended and some 200 million couples state a desire to delay pregnancy or cease fertility but are not using contraception. Unmet need is higher among the poorest, lesser educated, rural residents and women under 19 years. The barriers to, and successful strategies for, satisfying all demand for modern contraceptives are heavily influenced by context. Successfully overcoming this to increase the uptake of family planning is estimated to reduce the risk of maternal death by up to 58% as well as contribute to poverty reduction, women's empowerment and educational, social and economic participation, national development and environmental protection.

METHODS

To strengthen health systems for delivery of context-specific, equity-focused reproductive, maternal, newborn and child health services (RMNCH), the Investment Case study was applied in the Asia-Pacific region. Staff of local and central government and non-government organisations analysed data indicative of health service delivery through a supply-demand oriented framework to identify constraints to RMNCH scale-up. Planners developed contextualised strategies and the projected coverage increases were modelled for estimates of marginal impact on maternal mortality and costs over a five year period.

RESULTS

In Indonesia, Philippines and Nepal the constraints behind incomplete coverage of family planning services included: weaknesses in commodities logistic management; geographical inaccessibility; limitations in health worker skills and numbers; legislation; and religious and cultural ideologies. Planned activities included: streamlining supply systems; establishment of Community Health Teams for integrated RMNCH services; local recruitment of staff and refresher training; task-shifting; and follow-up cards. Modelling showed varying marginal impact and costs for each setting with potential for significant reductions in the maternal mortality rate; up to 28% (25.1-30.7) over five years, costing up to a marginal USD 1.34 (1.32-1.35) per capita in the first year.

CONCLUSION

Local health planners are in a prime position to devise feasible context-specific activities to overcome constraints and increase met need for family planning to accelerate progress towards MDG 5.