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A rapid reduction in under-five mortality has put Bangladesh on-track to reach Millennium Development Goal 4. Little research, however, has been conducted into neonatal reductions and sub-national rates in the country, with considerable disparities potentially masked by national reductions. The aim of this paper is to estimate national and sub-national rates of neonatal mortality to compute relative and absolute inequalities between sub-national groups and draw comparisons with rates of under-five mortality. Mortality rates for under-five children and neonates were estimated directly for 1980-1981 to 2010-2011 using data from six waves of the Demographic and Health Survey. Rates were stratified by levels of rural/urban location, household wealth and maternal education. Absolute and relative inequalities within these groups were measured by rate differences and ratios, and where possible, slope and relative indices of inequality. National mortality was shown to have decreased dramatically although at differential rates for under-fives and neonates. Across all equity markers, a general pattern of declining absolute but constant relative inequalities was found. For mortality rates stratified by education and wealth mixed evidence suggests that relative inequalities may have also fallen. Although disparities remain, Bangladesh has achieved a rare combination of substantive reductions in mortality levels without increases in relative inequalities. A coalescence of substantial increases in coverage and equitable distribution of key child and neonatal interventions with widespread health sectoral and policy changes over the last 30 years may in part explain this exceptional pattern. Electronic supplementary material The online version of this article (doi:10.1007/s10995-015-1716-z) contains supplementary material, which is available to authorized users., Author(s): Mark Minnery[sup.1] , Sonja Firth[sup.1] , Andrew Hodge[sup.1] , Eliana Jimenez-Soto[sup.1] Author Affiliations: (1) Investment Case, School of Population Health, The University of Queensland, Public Health Building, Herston Road, [...]

Objective To predict the subnational spatial variation in the number of people infected with Schistosoma haematobium in Burkina Faso, Mali and the Niger prior to national control programmes. Methods We used field survey data sets covering a contiguous area 2750 x 850 km and including 26 790 school-age children (5-14 years old) in 418 schools. The prevalence of high- and low-intensity infection and associated 95% credible intervals (Crls) were predicted using Bayesian geostatistical models. The number infected was determined from the predicted prevalence and the number of school-age children in each [km.sup.2]. Findings The predicted number of school-age children with a low-intensity infection was 433 268 in Burkina Faso, 872 328 in Mali and 580 286 in the Niger. The number with a high-intensity infection was 416 009, 511 845 and 254 150 in each country, respectively. The 95% Crls were wide: e.g. the mean number of boys aged 10-14 years infected in Mali was 140 200 (95% Crl: 6200-512 100). Conclusion National aggregate estimates of infection mask important local variations: e.g. most S. haematobium infections in the Niger occur in the Niger River valley. High-intensity infection was strongly clustered in western and central Mali, north-eastern and north-western Burkina Faso and the Niger River valley in the Niger. Populations in these foci will carry the bulk of the urinary schistosomiasis burden and should be prioritized for schistosomiasis control. Uncertainties in the predicted prevalence and the numbers infected should be acknowledged by control programme planners. Objectif Predire les variations spatiales au niveau infranational du nombre de personnes infestees par Schistosoma haematobium au Burkina Faso, au Mali et au Niger, avant la mise en place des programmes nationaux de lutte contre la schistosomiase. Methodes Nous avons utilise un jeu de donnees d'enquete sur le terrain couvrant une zone contigue de 2750 x 850 km et 26 790 enfants d'age scolaire (5-14 ans), repartis dans 418 ecoles. La prevalence des schistosomiases de forte et de faible intensite, ainsi que les intervalles de credibilite a 95% associes, ont ete predits a l'aide de modeles geostatistiques bayesiens. Le nombre de personnes infestees a ete determine a partir de la prevalence predite et du nombre d'enfants d'age scolaire par [km.sup.2]. Resultats D'apres les predictions de l'etude, le nombre d'enfants d'age scolaire atteints d'une schistosomiase de faible intensite serait de 433 268 au Burkina Faso, de 872 328 au Mali et de 580 286 au Niger. S'agissant ales enfants fortement infestes, Ies predictions donnaient respectivement 416 009 cas pour le Burkina Faso, 511 845 pour le Mali et 254 150 pour le Niger. Les intervalles de credibilite a 95 % etaient larges: par exemple, le nombre moyen de garcons de 10 a 14 ans infestes au Mali etait de 140 200 (ICr a 95 %: 6200-512 100). Conclusion Les estimations nationales agregees masquent d'importantes variations locales: par exemple, la plupart des infestations par S. haematobium relevees au Niger etaient apparues dans la Vallee du Niger. Les cas d'infestation lourde etaient tres fortement regroupes a l'Ouest et au centre du Mali, au Nord-est et au Nord-ouest du Burkina Faso et dans la Vallee du Niger, au Niger. Les populations de ces foyers supportent la plus grande part de la charge de schistosomiase urinaire et doivent etre considerees comme prioritaires dans la lutte contre la schistosomiase. Les planificateurs de programmes de lutte contre cette maladie doivent etre conscients des incertitudes qui pesent sur les predictions de la prevalence et du nombre de personnes infestees. Objetivo Predecir la variacion territorial subnacional del numero de personas infectadas por Schistosoma haematobium en Burkina Faso, Mali y el Niger antes del inicio de los programas de control nacionales. Metodos Usamos conjuntos de datos de encuestas sobre el terreno que abarcaron en total a 26 790 ninos en edad escolar (5 a 14 anos) de 418 escuelas repartidos en una zona de 2750 x 850 km. Mediante modelos geoestadisticos bayesianos se predijeron la prevalencia de infeccion de alta y baja intensidad y los correspondientes intervalos de credibilidad (ICr) del 95%. El numero de personas infectadas se determino a partir de la prevalencia predicha y del numero de ninos en edad escolar por [km.sup.2]. Resultados Las predicciones sobre el numero de ninos en edad escolar con infeccion de baja intensidad fueron de 433 268 en Burkina Faso, 872 328 en Mali y 580 286 en el Niger. El numero de casos de infeccion de alta intensidad fue de 416 009, 511 845 y 254 150, respectivamente. Los ICr95% fueron amplios: p.ej., la media de muchachos de 10 a 14 anos infectados en Mali fue de 140 200 (ICr95%: 6200-512 100). Conclusion Las estimaciones totales nacionales de infeccion ocultan variaciones locales importantes: p.ej., en el Niger la mayoria de las infecciones por S. haematobium se dan en el valle del Rio Niger. La infeccion de alta intensidad se concentra marcadamente en el centro y oeste de Mali, las zonas nororiental y noroccidental de Burkina Faso y el valle del Rio Niger en el Niger. Las poblaciones de esos focos soportaran la mayor carga de esquistosomiasis urinaria y deberian ser un objetivo prioritario de la lucha contra la esquistosomiasis. Los planificadores de los programas de control deben tener en cuenta la incertidumbre asociada a la prevalencia predicha y las cifras de personas infectadas., Une traduction en francais de ce resume figure a la fin de l'article. Al final del articulo se facilita una traduccion al espanol. Introduction An accurate estimate of the proportion [...]

Abstract 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.

Background: In Bangladesh, a poorly functioning national system of registering deaths and determining their causes leaves the country without important information on which to inform health programming, particularly for the 85% of deaths that occur in the community. In 2017, an improved death registration system and automated verbal autopsy (VA) were introduced to 13 upazilas to assess the utility of VA as a routine source of policy-relevant information and to identify leading causes of deaths (COD) in rural Bangladesh.Methods: Data from 22,535 VAs, collected in 12 upazilas between October 2017 and August 2019, were assigned a COD using the SmartVA Analyze 2.0 computer algorithm. The plausibility of the VA results was assessed using a series of demographic and epidemiological checks in the Verbal Autopsy Interpretation, Performance and Evaluation Resource (VIPER) software tool.Results: Completeness of community death reporting was 65%. The vast majority (85%) of adult deaths were due to non-communicable diseases, with ischemic heart disease, stroke and chronic respiratory disease comprising about 60% alone. Leading COD were broadly consistent with Global Burden of Disease study estimates.Conclusions: Routine VA collection using automated methods is feasible, can produce plausible results and provides critical information on community COD in Bangladesh. Routine VA and VIPER have potential application to countries with weak death registration systems. [ABSTRACT FROM AUTHOR]

Background Technically feasible and cost-effective interventions exist to reduce maternal, newborn, and child mortality [1,2]. This potential has not been fully realised due to the failure of health systems to [...]

Background: Local health departments are often at the forefront of a disaster response, attending to the immediate trauma inflicted by the disaster and also the long term health consequences. As the frequency and severity of disasters are projected to rise, monitoring and evaluation (M&E) efforts are critical to help local health departments consolidate past experiences and improve future response efforts. Local health departments often conduct M&E work post disaster, however, many of these efforts fail to improve response procedures.Methods: We undertook a rapid realist review (RRR) to examine why M&E efforts undertaken by local health departments do not always result in improved disaster response efforts. We aimed to complement existing frameworks by focusing on the most basic and pragmatic steps of a M&E cycle targeted towards continuous system improvements. For these purposes, we developed a theoretical framework that draws on the quality improvement literature to 'frame' the steps in the M&E cycle. This framework encompassed a M&E cycle involving three stages (i.e., document and assess, disseminate and implement) that must be sequentially completed to learn from past experiences and improve future disaster response efforts. We used this framework to guide our examination of the literature and to identify any context-mechanism-outcome (CMO) configurations which describe how M&E may be constrained or enabled at each stage of the M&E cycle.Results: This RRR found a number of explanatory CMO configurations that provide valuable insights into some of the considerations that should be made when using M&E to improve future disaster response efforts. Firstly, to support the accurate documentation and assessment of a disaster response, local health departments should consider how they can: establish a culture of learning within health departments; use embedded training methods; or facilitate external partnerships. Secondly, to enhance the widespread dissemination of lessons learned and facilitate inter-agency learning, evaluation reports should use standardised formats and terminology. Lastly, to increase commitment to improvement processes, local health department leaders should possess positive leadership attributes and encourage shared decision making.Conclusion: This study is among the first to conduct a synthesis of the CMO configurations which facilitate or hinder M&E efforts aimed at improving future disaster responses. It makes a significant contribution to the disaster literature and provides an evidence base that can be used to provide pragmatic guidance for improving M&E efforts of local health departments.Trial Registration: PROSPERO 2015: CRD42015023526 . [ABSTRACT FROM AUTHOR]

Background: Despite achieving some success, wealth-related disparities in the utilisation of maternal and child health services persist in the Philippines. The aim of this study is to decompose the principal factors driving the wealth-based utilisation gap.Methods: Using national representative data from the 2013 Philippines Demographic and Health Survey, we examine the extent overall differences in the utilisation of maternal health services can be explained by observable factors. We apply nonlinear Blinder-Oaxaca-type decomposition methods to quantify the effect of differences in measurable characteristics on the wealth-based coverage gap in facility-based delivery.Results: The mean coverage of facility-based deliveries was respectively 41.1 % and 74.6 % for poor and non-poor households. Between 67 and 69 % of the wealth-based coverage gap was explained by differences in observed characteristics. After controlling for factors characterising the socioeconomic status of the household (i.e. the mothers' and her partners' education and occupation), the birth order of the child was the major factor contributing to the disparity. Mothers' religion and the subjective distance to the health facility were also noteworthy.Conclusions: This study has found moderate wealth-based disparities in the utilisation of institutional delivery in the Philippines. The results confirm the importance of recent efforts made by the Philippine government to implement equitable, pro-poor focused health programs in the most deprived geographic areas of the country. The importance of addressing the social determinants of health, particularly education, as well as developing and implementing effective strategies to encourage institutional delivery for higher order births, should be prioritised. [ABSTRACT FROM AUTHOR]

This study uses five waves of the Indonesian Demographic Health Surveys to analyse decentralisation and geographical inequality in health services delivery. Accounting for unobserved community-level heterogeneity with random effects and correlated random effects models, we link facility-based birth delivery to the period of decentralisation and Indonesia’s major island groups using a pooled sample of 71,815 children. We also generate direct estimates of neonatal mortality from 1990 to 2007. The results show that the implementation of decentralisation has accorded with a marked expansion in both health service and outcome inequalities in Indonesia, at least with respect to neonates. Systemic funding failures for health and decision-space issues resulting from decentralisation are likely to have greater impact in disadvantaged regions where local capacity is weakest. The need to address these fundamental issues to reduce inequalities and improve general health outcomes appears supportable. [ABSTRACT FROM PUBLISHER]

Background: Health-related within-country inequalities continue to be a matter of great interest and concern to both policy makers and researchers. This study aims to assess the level and the distribution of child mortality outcomes in the Philippines across geographical and socioeconomic indicators. Methodology: Data on 159,130 children ever borne were analysed from five waves of the Philippine Demographic and Health Survey. Direct estimation was used to construct under-five and neonatal mortality rates for the period 1980–2013. Rate differences and ratios, and where possible, slope and relative indices of inequality were calculated to measure disparities on absolute and relative scales. Stratification was undertaken by levels of rural/urban location, island groups and household wealth. Findings: National under-five and neonatal mortality rates have shown considerable albeit differential reductions since 1980. Recently released data suggests that neonatal mortality has declined following a period of stagnation. Declines in under-five mortality have been accompanied by decreases in wealth and geography-related absolute inequalities. However, relative inequalities for the same markers have remained stable over time. For neonates, mixed evidence suggests that absolute and relative inequalities have remained stable or may have risen. Conclusion: In addition to continued reductions in under-five mortality, new data suggests that the Philippines have achieved success in addressing the commonly observed stagnated trend in neonatal mortality. This success has been driven by economic improvement since 2006 as well as efforts to implement a nationwide universal health care campaign. Yet, such patterns, nonetheless, accorded with persistent inequalities, particularly on a relative scale. A continued focus on addressing universal coverage, the influence of decentralisation and armed conflict, and issues along the continuum of care is advocated. [ABSTRACT FROM AUTHOR]

Background: Considerable improvements in life expectancy and other human development indicators in Indonesia are thought to mask considerable disparities between populations in the country. We examine the existence and extent of these disparities by measuring trends and inequalities in the under-five mortality rate and neonatal mortality rate across wealth, education and geography. Methodology: Using data from seven waves of the Indonesian Demographic and Health Surveys, direct estimates of under-five and neonatal mortality rates were generated for 1980–2011. Absolute and relative inequalities were measured by rate differences and ratios, and where possible, slope and relative indices of inequality. Disparities were assessed by levels of rural/urban location, island groups, maternal education and household wealth. Findings: Declines in national rates of under-five and neonatal mortality have accorded with reductions of absolute inequalities in clusters stratified by wealth, maternal education and rural/urban location. Across these groups, relative inequalities have generally stabilised, with possible increases with respect to mortality across wealth subpopulations. Both relative and absolute inequalities in rates of under-five and neonatal mortality stratified by island divisions have widened. Conclusion: Indonesia has made considerable gains in reducing under-five and neonatal mortality at a national level, with the largest reductions happening before the Asian financial crisis (1997–98) and decentralisation (2000). Hasty implementation of decentralisation reforms may have contributed to a slowdown in mortality rate reduction thereafter. Widening inequities between the most developed provinces of Java-Bali and those of other island groupings should be of particular concern for a country embarking on an ambitious plan for universal health coverage by 2019. A focus on addressing the key supply side barriers to accessing health care and on the social determinants of health in remote and disadvantaged regions will be essential for this plan to be realised. [ABSTRACT FROM AUTHOR]

Background: India has the world's highest total number of under-five deaths of any nation. While progress towards Millennium Development Goal 4 has been documented at the state level, little information is available for greater disaggregation of child health markers within states. In 2000, new states were created within the country as a partial response to political pressures. State-level information on child health trends in the new states of Chhattisgarh and Jharkhand is scarce. To fill this gap, this article examines under-five and neonatal mortality across various equity markers within these two new states, pre-and post-split. Methods: Both direct and indirect estimation using pooled data from five available sources were undertaken. Inter-population disparities were evaluated by mortality data stratification of rural-urban location, ethnicity, wealth and districts. Results: Both states experienced an overall reduction in under-five and neonatal mortality, however, this has stagnated post-2001 and various disparities persist. In cases where disparities have declined, such as between urban-rural populations and low- and high-income groups, this has been driven by modest declines within the disadvantaged groups (i.e. low-income rural households) and stagnation or worsening of outcomes within the advantaged groups. Indeed, rising trends in mortality are most prevalent in urban middle-income households. Conclusions: The results suggest that rural health improvements may have come at the expense of urban areas, where poor performance may be attributed to factors such as lack of access to quality private health facilities. In addition, the disparities may in part be associated with geographical access, traditional practices and district-level health resource allocation. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Recent assessments show continued decline in child mortality in Papua New Guinea (PNG), yet complete subnational analyses remain rare. This study aims to estimate under-five mortality in PNG at national and subnational levels to examine the importance of geographical inequities in health outcomes and track progress towards Millennium Development Goal (MDG) 4. Methodology: We performed retrospective data validation of the Demographic and Health Survey (DHS) 2006 using 2000 Census data, then applied advanced indirect methods to estimate under-five mortality rates between 1976 and 2000. Findings: The DHS 2006 was found to be unreliable. Hence we used the 2000 Census to estimate under-five mortality rates at national and subnational levels. During the period under study, PNG experienced a slow reduction in national under-five mortality from approximately 103 to 78 deaths per 1,000 live births. Subnational analyses revealed significant disparities between rural and urban populations as well as inter- and intra-regional variations. Some of the provinces that performed the best (worst) in terms of under-five mortality included the districts that performed worst (best), with district-level underfive mortality rates correlating strongly with poverty levels and access to services. Conclusions: The evidence from PNG demonstrates substantial within-province heterogeneity, suggesting that under-five mortality needs to be addressed at subnational levels. This is especially relevant in countries, like PNG, where responsibility for health services is devolved to provinces and districts. This study presents the first comprehensive estimates of under-five mortality at the district level for PNG. The results demonstrate that for countries that rely on few data sources even greater importance must be given to the quality of future population surveys and to the exploration of alternative options of birth and death surveillance [ABSTRACT FROM AUTHOR]

In modern decentralised health systems, district and local managers are increasingly responsible for financing, managing, and delivering healthcare. However, their lack of adequate skills and competencies are a critical barrier to improved performance of health systems. Given the financial and human resource, constraints of relying on traditional face-to-face training to upskill a large and dispersed number of health managers, governments, and donors must look to exploit advances in the education sector. In recent years, education providers around the world have been experimenting with blended learning; that is, amalgamating traditional face-to-face education with web-based learning to reduce costs and enrol larger numbers of students. Access to improved information and communication technology (ICT) has been the major catalyst for such pedagogical innovations. We argue that with many developing countries already improving their ICT systems, the question is not whether but how to employ technology to facilitate the continuous professional development of district and local health managers in decentralised settings. [ABSTRACT FROM AUTHOR]

Background: Reliable and representative cause of death (COD) statistics are essential to inform public health policy, respond to emerging health needs, and document progress towards Sustainable Development Goals. However, less than one-third of deaths worldwide are assigned a cause. Civil registration and vital statistics (CRVS) systems in low- and lower-middle-income countries are failing to provide timely, complete and accurate vital statistics, and it will still be some time before they can provide physician-certified COD for every death. Proposals: Verbal autopsy (VA) is a method to ascertain the probable COD and, although imperfect, it is the best alternative in the absence of medical certification. There is extensive experience with VA in research settings but only a few examples of its use on a large scale. Data collection using electronic questionnaires on mobile devices and computer algorithms to analyse responses and estimate probable COD have increased the potential for VA to be routinely applied in CRVS systems. However, a number of CRVS and health system integration issues should be considered in planning, piloting and implementing a system-wide intervention such as VA. These include addressing the multiplicity of stakeholders and sub-systems involved, integration with existing CRVS work processes and information flows, linking VA results to civil registration records, information technology requirements and data quality assurance. Conclusions: Integrating VA within CRVS systems is not simply a technical undertaking. It will have profound system-wide effects that should be carefully considered when planning for an effective implementation. This paper identifies and discusses the major system-level issues and emerging practices, provides a planning checklist of system-level considerations and proposes an overview for how VA can be integrated into routine CRVS systems. [ABSTRACT FROM PUBLISHER]

Objectives:Efforts to scale-up maternal and child health services in lower and middle income countries will fail if services delivered are not of good quality. Although there is evidence of strategies to increase the quality of health services, less is known about the way these strategies affect health system goals and outcomes. We conducted a systematic review of the literature to examine this relationship. Methods:We undertook a search of MEDLINE, SCOPUS and CINAHL databases, limiting the results to studies including strategies specifically aimed at improving quality that also reported a measure of quality and at least one indicator related to health system outcomes. Variation in study methodologies prevented further quantitative analysis; instead we present a narrative review of the evidence. Findings:Methodologically, the quality of evidence was poor, and dominated by studies of individual facilities. Studies relied heavily on service utilisation as a measure of strategy success, which did not always correspond to improved quality. The majority of studies targeted the competency of staff and adequacy of facilities. No strategies addressed distribution systems, public-private partnership or equity. Key themes identified were the conflict between perceptions of patients and clinical measures of quality and the need for holistic approaches to health system interventions. Conclusion:Existing evidence linking quality improvement strategies to improved MNCH outcomes is extremely limited. Future research would benefit from the inclusion of more appropriate indicators and additional focus on non-facility determinants of health service quality such as health policy, supply distribution, community acceptability and equity of care. [ABSTRACT FROM AUTHOR]

Background: India has the world's highest total number of under-five deaths of any nation. While progress towards Millennium Development Goal 4 has been documented at the state level, little information is available for greater disaggregation of child health markers within states. In 2000, new states were created within the country as a partial response to political pressures. State-level information on child health trends in the new states of Chhattisgarh and Jharkhand is scarce. To fill this gap, this article examines under-five and neonatal mortality across various equity markers within these two new states, pre-and post-split.Methods: Both direct and indirect estimation using pooled data from five available sources were undertaken. Inter-population disparities were evaluated by mortality data stratification of rural-urban location, ethnicity, wealth and districts.Results: Both states experienced an overall reduction in under-five and neonatal mortality, however, this has stagnated post-2001 and various disparities persist. In cases where disparities have declined, such as between urban-rural populations and low- and high-income groups, this has been driven by modest declines within the disadvantaged groups (i.e. low-income rural households) and stagnation or worsening of outcomes within the advantaged groups. Indeed, rising trends in mortality are most prevalent in urban middle-income households.Conclusions: The results suggest that rural health improvements may have come at the expense of urban areas, where poor performance may be attributed to factors such as lack of access to quality private health facilities. In addition, the disparities may in part be associated with geographical access, traditional practices and district-level health resource allocation. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]