Interventions addressing maternal and child health among the urban poor and homeless: an overview of systematic reviews.

BACKGROUND: Inequalities in access to and utilization of maternal and child health (MCH) care are hampering progress on the path to achieving the Sustainable Development Goals. In a number of Low- and Middle-Income Countries (LMICs) population subgroups at disproportionate risk of being left behind are the urban poor. Within this neglected group is the further neglected group of the homeless. Concomitantly, a number of interventions from the antenatal period onward have been piloted, tested, and scaled in these contexts. We carried out an overview of systematic reviews (SRs) to characterize the evidence around maternal and child health interventions relevant to urban poor homeless populations in LMICs. METHODS: We searched Medline, Cochrane Library, Health Systems Evidence and EBSCOhost databases for SRs published between January 2009 and 2020 (with an updated search through November 2021). Our population of interest was women or children from urban poor settings in LMICs; interventions and outcomes corresponded with the World Health Organization's (WHO) guidance document. Each SR was assessed by two reviewers using established standard critical appraisal checklists. The overview was registered in PROSPERO (ID: CRD42021229107). RESULTS: In a sample of 33 high quality SRs, we found no direct relevant evidence for pregnant and lactating homeless women (and children) in the reviewed literature. There was a lack of emphasis on evidence related to family planning, safe abortion care, and postpartum care of mothers. There was mixed quality evidence that the range of nutritional interventions had little, unclear or no effect on several child mortality and development outcomes. Interventions related to water, sanitation, and hygiene, ensuring acceptability of community health services and health promotion type programs could be regarded as beneficial, although location seemed to matter. Importantly, the risk of bias reporting in different reviews did not match, suggesting that greater attention to rigour in their conduct is needed. CONCLUSION: The generalizability of existing systematic reviews to our population of interest was poor. There is a clear need for rigorous primary research on MCH interventions among urban poor, and particularly homeless populations in LMICs, as it is as yet unclear whether the same, augmented, or altogether different interventions would be required.

Political economy analysis of the performance-based financing programme in Afghanistan.

BACKGROUND: Performance-based financing (PBF) has attracted considerable attention in recent years in low and middle-income countries. Afghanistan's Ministry of Public Health (MoPH) implemented a PBF programme between 2010 and 2015 to strengthen the utilisation of maternal and child health services in primary health facilities. This study aimed to examine the political economy factors influencing the adoption, design and implementation of the PBF programme in Afghanistan. METHODS: Retrospective qualitative research methods were employed using semi structured interviews as well as a desk review of programme and policy documents. Key informants were selected purposively from the national level (n = 9), from the province level (n = 6) and the facility level (n = 15). Data analysis was inductive as well as deductive and guided by a political economy analysis framework to explore the factors that influenced the adoption and design of the PBF programme. Thematic content analysis was used to analyse the data. RESULTS: The global policy context, and implementation experience in other LMIC, shaped PBF and its introduction in Afghanistan. The MoPH saw PBF as a promise of additional resources needed to rebuild the country's health system after a period of conflict. The MoPH support for PBF was also linked to their past positive experience of performance-based contracting. Power dynamics and interactions between PBF programme actors also shaped the policy process. The PBF programme established a centralised management structure which strengthened MoPH and donor ability to manage the programme, but overlooked key stakeholders, such as provincial health offices and non-state providers. However, MoPH had limited input in policy design, resulting in a design which was not well tailored to the national setting. CONCLUSIONS: This study shows that PBF programmes need to be designed and adapted according to the local context, involving all relevant actors in the policy cycle. Future studies should focus on conducting empirical research to not only understand the multiple effects of PBF programmes on the performance of health systems but also the main political economy dynamics that influence the PBF programmes in different stages of the policy process.

Building resilient societies after COVID-19: the case for investing in maternal, neonatal, and child health.

Resilient societies respond rapidly and effectively to health challenges and the associated economic consequences, and adapt to be more responsive to future challenges. Although it is only possible to recognise resilience retrospectively, the COVID-19 pandemic has occurred at a point in human history when, uniquely, sufficient knowledge is available on the early-life determinants of health to indicate clearly that a focus on maternal, neonatal, and child health (MNCH) will promote later resilience. This knowledge offers an unprecedented opportunity to disrupt entrenched strategies and to reinvest in MNCH in the post-COVID-19 so-called new normal. Furthermore, analysis of the short-term, medium-term, and longer-term consequences of previous socioeconomic shocks provides important insights into those domains of MNCH, such as neurocognitive development and nutrition, for which investment will generate the greatest benefit. Such considerations apply to high-income countries (HICs) and low-income and middle-income countries (LMICs). However, implementing appropriate policies in the post-COVID-19 recovery period will be challenging and requires political commitment and public engagement.

Evidence on result-based financing in maternal and child health in low- and middle-income countries: a systematic review.

Introduction: Result-Based Financing (RBF) is an umbrella term for financial mechanisms that link incentives to outputs or outcomes. International development agencies are promoting RBF as a viable financing approach for the realization of universal health coverage, with numerous pilot trials, particularly in low- and middle-income countries (LMICs). There is limited synthesized evidence on the performance of these mechanisms and the reasons for the lack of RBF institutionalization. This study aims to review the evidence of RBF schemes that have been scaled or institutionalized at a national level, focusing on maternal, newborn, and child health (MNCH) programming in LMICs. Methods: A systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The authors identified and reviewed country-level RBF evaluation reports for the period between January 2000 and June 2019. Data were extracted from both published and gray literature on RBF application in MNCH using a predesigned matrix. The matrix headers included country of application; program setting; coverage and duration; evaluation design and methods; outcome measures; and key findings. A content thematic analysis approach was used to synthesize the evidence and emerging issues. Results: The review identified 13 reports from 11 countries, predominantly from Sub-Saharan Africa. Performance-based financing was the most common form of RBF initiatives. The majority of evaluation designs were randomized trials. The evaluations focused on outputs, such as coverage and service utilization, rather than outcomes. RBF schemes in all 11 countries expanded their scope, either geographically or accordingly in terms of performance indicators. Furthermore, only three studies conducted a cost-effectiveness analysis, and only two included a discussion on RBF's sustainability. Only three countries have institutionalized RBF into their national policy. On the basis of the experience of these three countries, the common enabling factors for institutionalization seem to be political will, domestic fund mobilization, and the incorporation of demand-side RBF tools. Conclusion: RBF evidence is still growing, partial, and inconclusive. This limited evidence may be one of the reasons why many countries are reluctant to institutionalize RBF. Additional research is needed, particularly regarding cost-effectiveness, affordability, and sustainability of RBF programs.

Financial risk of seeking maternal and neonatal healthcare in southern Ethiopia: a cohort study of rural households.

INTRODUCTION: Ethiopian households' out-of-pocket healthcare payments constitute one-third of the national healthcare budget and are higher than the global and low-income countries average, and even the global target. Such out-of-pocket payments pose severe financial risks, can be catastrophic, impoverishing, and one of the causal barriers for low utilisation of healthcare services in Ethiopia. This study aimed to assess the financial risk of seeking maternal and neonatal healthcare in southern Ethiopia. METHODS: A population-based cohort study was conducted among 794 pregnant women, 784 postpartum women, and their 772 neonates from 794 households in rural kebeles of the Wonago district, southern Ethiopia. The financial risk was estimated using the incidence of catastrophic healthcare expenditure, impoverishment, and depth of poverty. Annual catastrophic healthcare expenditure was determined if out-of-pocket payments exceeding 10% of total household or 40% of non-food expenditure. Impoverishment was analysed based on total household expenditure and the international poverty line of ≈ $1.9 per capita per day. RESULTS: Approximately 93% (735) of pregnant women, 31% (244) of postpartum women, and 48% (369) of their neonates experienced illness. However, only 56 households utilised healthcare services. The median total household expenditure was $527 per year (IQR = 390: 370,760). The median out-of-pocket healthcare payment was $46 per year (IQR = 46: 46, 92) with two episodes per household, and shared 19% of the household's budget. The poorer households paid more than did the richer for healthcare, during pregnancy-related and neonatal illness. However, the richer paid more than did the poorer during postpartum illness. Forty-six percent of households faced catastrophic healthcare expenditure at the threshold of 10% of total household expenditure, or 74% at a 40% non-food expenditure, and associated with neonatal illness (aRR: 2.56, 95%CI: 1.02, 6.44). Moreover, 92% of households were pushed further into extreme poverty and the poverty gap among households was 45 Ethiopian Birr per day. The average household size among study households was 4.7 persons per household. CONCLUSIONS: This study demonstrated that health inequity in the household's budget share of total OOP healthcare payments in southern Ethiopia was high. Besides, utilisation of maternal and neonatal healthcare services is very low and seeking such healthcare poses a substantial financial risk during illness among rural households. Therefore, the issue of health inequity should be considered when setting priorities to address the lack of fairness in maternal and neonatal health.

Measuring universal health coverage in reproductive, maternal, newborn and child health: An update of the composite coverage index.

BACKGROUND: Monitoring universal health coverage in reproductive, maternal and child health requires appropriate indicators for assessing coverage and equity. In 2008, the composite coverage index (CCI)-a weighted average of eight indicators reflecting family planning, antenatal and delivery care, immunizations and management of childhood illnesses-was proposed. In 2017, the CCI formula was revised to update the family planning and diarrhea management indicators. We explored the implications of adding new indicators to the CCI. METHODS: We analysed nationally representative surveys to investigate how addition of early breastfeeding initiation (EIBF), tetanus toxoid during pregnancy and post-natal care for babies affected CCI levels and the magnitude of wealth-related inequalities. We used Pearson's correlation coefficient to compare different formulations, and the slope index of inequalities [SII] and concentration index [CIX] to assess absolute and relative inequalities, respectively. RESULTS: 47 national surveys since 2010 had data on the eight variables needed for the original and revised formulations, and on EIBF, tetanus vaccine and postnatal care, related to newborn care. The original CCI showed the highest average value (65.5%), which fell to 56.9% when all 11 indicators were included. Correlation coefficients between pairs of all formulations ranged from 0.93 to 0.99. When analysed separately, 10 indicators showed higher coverage with increasing wealth; the exception was EIBF (SII = -2.1; CIX = -0.5). Inequalities decreased when other indicators were added, especially EIBF-the SII fell from 24.8 pp. to 19.2 pp.; CIX from 7.6 to 6.1. The number of countries with data from two or more surveys since 2010 was 30 for the original and revised formulations and 15 when all the 11 indicators were included. CONCLUSIONS: Given the growing importance of newborn mortality, it would be desirable to include relevant coverage indicators in the CCI, but this would lead a reduction in data availability, and an underestimation of coverage inequalities. We propose that the 2017 version of the revised CCI should continue to be used.

Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health.

Introduction: Wealth-related inequalities in reproductive, maternal, neonatal and child health have been widely studied by dividing the population into quintiles. We present a comprehensive analysis of wealth inequalities for the composite coverage index (CCI) using national health surveys carried out since 2010, using wealth deciles and absolute income estimates as stratification variables, and show how these new approaches expand on traditional equity analyses. Methods: 83 low-income and middle-income countries were studied. The CCI is a combined measure of coverage with eight key reproductive, maternal, newborn and child health interventions. It was disaggregated by wealth deciles for visual inspection of inequalities, and the slope index of inequality (SII) was estimated. The correlation between coverage in the extreme deciles and SII was assessed. Finally, we used multilevel models to examine how the CCI varies according to the estimated absolute income for each wealth quintile in the surveys. Results: The analyses of coverage by wealth deciles and by absolute income show that inequality is mostly driven by coverage among the poor, which is much more variable than coverage among the rich across countries. Regardless of national coverage, in 61 of the countries, the wealthiest decile achieved 70% or higher CCI coverage. Well-performing countries were particularly effective in achieving high coverage among the poor. In contrast, underperforming countries failed to reach the poorest, despite reaching the better-off. Conclusion: There are huge inequalities between the richest and the poorest women and children in most countries. These inequalities are strongly driven by low coverage among the poorest given the wealthiest groups achieve high coverage irrespective of where they live, overcoming any barriers that are an impediment to others. Countries that 'punched above their weight' in coverage, given their level of absolute wealth, were those that best managed to reach their poorest women and children.

Estimates of aid for reproductive, maternal, newborn, and child health: findings from application of the Muskoka2 method, 2002-17.

BACKGROUND: Four methods have previously been used to track aid for reproductive, maternal, newborn, and child health (RMNCH). At a meeting of donors and stakeholders in May, 2018, a single, agreed method was requested to produce accurate, predictable, transparent, and up-to-date estimates that could be used for analyses from both donor and recipient perspectives. Muskoka2 was developed to meet these needs. We describe Muskoka2 and present estimates of levels and trends in aid for RMNCH in 2002-17, with a focus on the latest estimates for 2017. METHODS: Muskoka2 is an automated algorithm that generates disaggregated estimates of aid for reproductive health, maternal and newborn health, and child health at the global, donor, and recipient-country levels. We applied Muskoka2 to the Organisation for Economic Co-operation and Development's Creditor Reporting System (CRS) aid activities database to generate estimates of RMNCH disbursements in 2002-17. The percentage of disbursements that benefit RMNCH was determined using CRS purpose codes for all donors except Gavi, the Vaccine Alliance; the UN Population Fund; and UNICEF; for which fixed percentages of aid were considered to benefit RMNCH. We analysed funding by donor for the 20 largest donors, by recipient-country income group, and by recipient for the 16 countries with the greatest RMNCH need, defined as the countries with the worst levels in 2015 on each of seven health indicators. FINDINGS: After 3 years of stagnation, reported aid for RMNCH reached $15·9 billion in 2017, the highest amount ever reported. Among donors reporting in both 2016 and 2017, aid increased by 10% ($1·4 billion) to $15·4 billion between 2016 and 2017. Child health received almost half of RMNCH disbursements in 2017 (46%, $7·4 billion), followed by reproductive health (34%, $5·4 billion), and maternal and newborn health (19%, $3·1 billion). The USA ($5·8 billion) and the UK ($1·6 billion) were the largest bilateral donors, disbursing 46% of all RMNCH funding in 2017 (including shares of their core contributions to multilaterals). The Global Fund and Gavi were the largest multilateral donors, disbursing $1·7 billion and $1·5 billion, respectively, for RMNCH from their core budgets. The proportion of aid for RMNCH received by low-income countries increased from 31% in 2002 to 52% in 2017. Nigeria received 7% ($1·1 billion) of all aid for RMNCH in 2017, followed by Ethiopia (6%, $876 million), Kenya (5%, $754 million), and Tanzania (5%, $751 million). INTERPRETATION: Muskoka2 retains the speed, transparency, and donor buy-in of the G8's previous Muskoka approach and incorporates eight innovations to improve precision. Although aid for RMNCH increased in 2017, low-income and middle-income countries still experience substantial funding gaps and threats to future funding. Maternal and newborn health receives considerably less funding than reproductive health or child health, which is a persistent issue requiring urgent attention. FUNDING: Bill & Melinda Gates Foundation; Partnership for Maternal, Newborn & Child Health.

"I am alive; my baby is alive": Understanding reasons for satisfaction and dissatisfaction with maternal health care services in the context of user fee removal policy in Nigeria.

BACKGROUND: The main policy thrust in many sub-Saharan Africa countries' aim at addressing maternal mortality is the elimination of the user fee for maternal healthcare services. While several studies have documented the effect of the user fee removal policy on the use of maternal health care services, the experiences of women seeking care in facilities offering free obstetrics services, their level of satisfaction and reasons for satisfaction or dissatisfaction are poorly understood. METHODS: This study adopted a mixed study design involving a population survey of 1227 women of reproductive age who gave birth in the last five years preceding the study (2011-2015), 68 in-depth interviews, and six focus group discussions. Simple descriptive statistics were performed on 407 women who benefitted from the user fee removal policy, while the qualitative data were analysed using thematic analysis. RESULTS: The overall level of satisfaction with care received was remarkably high (97.1%), with birth outcomes being the central reason for their satisfaction. Participants were also satisfied with both the process aspect of care (which includes health workers' attitude and privacy) and the structural dimension of care (such as, the cleanliness of health care facilities and availability of and access to medicine). From the qualitative analysis, prolonged waiting-time, the limited scope of coverage, mistreatment, disrespect and abuse, inadequate infrastructure and bed space were the main reasons why a few women were dissatisfied with care under free maternal health care. CONCLUSION: The findings establish a high level of beneficiaries' satisfaction with care under free maternal health policy in Nigeria, raising the need for sustaining the policy in expanding access to maternal health services for the poor. Nevertheless, issues relating to prolonged waiting-time, the limited scope of coverage, mistreatment, disrespect and abuse, inadequate infrastructure and bed space require attention from policymakers.

A rapid assessment of the political economy of health at district level, with a focus on maternal, newborn and child health, in Bangladesh, Indonesia, Nepal and the Philippines.

Low- and middle-income countries (LMICs) face many challenges and competing demands in the health sector, including maternal and newborn mortality. The allocation of financial and human resources for maximum health impact is important for social and economic development. Governments must prioritize carefully and allocate scarce resources to maximum effect, but also in ways that are politically acceptable, financially and institutionally feasible, and sustainable. Political economy analysis (PEA)-that gets what, when and why-can help explain that prioritization process. We used PEA to investigate how four Asian LMICs (Bangladesh, Indonesia, Nepal and the Philippines) allocate and utilize resources for maternal, newborn and child health (MNCH). Using mixed research methods including a literature review, field interviews at national and sub-national level, and policy, process and budget analysis in each country, we examined three political economy issues: (1) do these countries demonstrably prioritize MNCH at policy level; (2) if so, is this reflected in the allocation of financial and other resources and (3) if resources are allocated to MNCH, do they achieve the intended outputs and outcomes through actual programme implementation? We also considered the influence of transnational developments. We found that all four countries demonstrate political commitment to health, including MNCH. However, the health sector receives comparatively low public financing, governments often do not follow through on plans or pronouncements, and capacity for related action varies widely. Poor governance and decentralization, lack of data for monitoring and evaluation of progress, and weak public sector human resource capacity were frequent problems; engagement of the private or non-government sectors is an important consideration. Opportunities exist to greatly improve equity and MNCH outcomes in these nations, using a mix of evidence, improved governance, social engagement and the media to influence decisions, increase resource allocation to and improve accountability in the health sector.

Effects of implementing free maternity service policy in Kenya: an interrupted time series analysis.

BACKGROUND: Maternal and perinatal mortality is a major public health concern across the globe and more so in low and middle-income countries. In Kenya, more than 6000 maternal deaths, and 35,000 stillbirths occur each year. The Government of Kenya abolished user fee for maternity care under the Free Maternity Service policy, in June of 2013 in all public health facilities, a move to make maternity services accessible and affordable, and to reduce maternal and perinatal mortality. METHOD: An observational retrospective study was carried out in 3 counties in Kenya. Six maternal health output indicators were observed monthly, 2 years pre and 2 years post- policy implementation. Data was collected from daily maternity registers in 90 public health facilities across the 3 counties all serving an estimated population of 3 million people. Interrupted Time Series Analysis (ITSA) with a single group was used to assess the effects of the policy. Standard linear regression using generalized least squares (gls) model, was used to run the results for each of the six variables of interest. Absolute and relative changes were calculated using the gls model coefficients. RESULTS: Significant sustained increase of 89, 97, and 98% was observed in the antenatal care visits, health facility deliveries, and live births respectively, after the policy implementation. An immediate and significant increase of 27% was also noted for those women who received Emergency Obstetric Care (EmONC) services in either the level 5, 4 and 3 health facilities. No significant changes were observed in the stillbirth rate and caesarean section rate following policy implementation. CONCLUSION: After 2 years of implementing the Free Maternity Service policy in Kenya, immediate and sustained increase in the use of skilled care during pregnancy and childbirth was observed. The study suggest that hospital cost is a major expense incurred by most women and their families whilst seeking maternity care services and a barrier to maternity care utilization. Overall, Free Maternity Service policy, as a health financing strategy, has exhibited the potential of realizing the full beneficial effects of maternal morbidity and mortality reduction by increasing access to skilled care.

Do severe maternal morbidity and adequate prenatal care affect the delivery cost? A nationwide cohort study for 11 years with follow up.

OBJECTIVE: To explore whether severe maternal morbidity (SMM) and adequate prenatal care (PNC) affect delivery cost. DESIGN: Population-based retrospective cohort study. SETTING: National Health Insurance Service National Sample Cohort in Korea. POPULATION: A total of 90 035 deliveries in 2003 and 2013. METHODS: Severe maternal morbidity was determined using the Centers for Disease Control and Prevention's algorithm. Delivery medical costs were calculated by estimating claimed total medical costs using year-specific inflation adjustment factors. Adequate PNC was estimated by the Kessner Adequacy of Prenatal Care Index. To estimate adjusted mean delivery medical costs related to SMM, we applied a generalised estimating equation model with log link and γ distribution, by adjusting for all covariates. MAIN OUTCOME MEASURES: Delivery cost was calculated by estimating claimed total medical cost during delivery hospitalisation using year-specific inflation. RESULTS: Of the 90 035 deliveries, 2041 (2.27%) involved SMM. Women with SMM had a greater adjusted mean cost of delivery (US$ 1,263, 95% CI US$ 1,196-1,334) than those without (US$ 740, 95% CI US$ 729-750). Interestingly, women who had inadequate PNC had higher delivery medical costs than those with adequate PNC, adjusted for all covariates. CONCLUSION: Delivery involving SMM was associated with nearly doubled medical costs. Additionally, inadequate PNC increased the medical costs of delivery. The current study confirmed the burden of SMM and found that adequate PNC might be a useful preventive factor in reducing medical costs. TWEETABLE ABSTRACT: We found that women with severe maternal morbidity and inadequate prenatal care had increased medical costs during delivery hospitalisation.

Are stage-based health information messages effective and good value for money in improving maternal newborn and child health outcomes in India? Protocol for an individually randomized controlled trial.

BACKGROUND: Evidence is limited on the effectiveness of mobile health programs which provide stage-based health information messages to pregnant and postpartum women. Kilkari is an outbound service that delivers weekly, stage-based audio messages about pregnancy, childbirth, and childcare directly to families in 13 states across India on their mobile phones. In this protocol we outline methods for measuring the effectiveness and cost-effectiveness of Kilkari. METHODS: The study is an individually randomized controlled trial (iRCT) with a parallel, partially concurrent, and unblinded design. Five thousand pregnant women will be enrolled from four districts of Madhya Pradesh and randomized to an intervention or control arm. The women in the intervention arm will receive Kilkari messages while the control group will not receive any Kilkari messages as part of the study. Women in both arms will be followed from enrollment in the second and early third trimesters of pregnancy until one year after delivery. Differences in primary outcomes across study arms including early and exclusive breastfeeding and the adoption of modern contraception at 1 year postpartum will be assessed using intention to treat methodology. Surveys will be administered at baseline and endline containing modules on phone ownership, geographical and demographic characteristics, knowledge, practices, respectful maternity care, and coverage for antenatal care, delivery, and postnatal care. In-depth interviews and focus group discussions will be carried out to understand user perceptions of Kilkari, and more broadly, experiences providing phone numbers and personal health information to health care providers. Costs and consequences will be estimated from a societal perspective for the 2018-2019 analytic time horizon. DISCUSSION: Kilkari is the largest maternal messaging program, in terms of absolute numbers, currently being implemented globally. Evaluations of similar initiatives elsewhere have been small in scale and focused on summative outcomes, presenting limited evidence on individual exposure to content. Drawing upon system-generated data, we explore linkages between successful receipt of calls, user engagement with calls, and reported outcomes. This is the first study of its kind in India and is anticipated to provide the most robust and comprehensive evidence to date on maternal messaging programs globally. TRIAL REGISTRATION: Clinicaltrials.gov, 90075552, NCT03576157 . Registered on 22 June 2018.

Treatment cost and costing model of obstetric complications at a hospital in Myanmar.

Maternal health still remains a major challenge in almost all developing countries. In Myanmar, the country met only 62% of its target for the maternal mortality rate (130 per 100,000 live birth) even though proportion of skilled birth attendant (SBA) and antenatal care (ANC) coverage was 80% in 2015. Despite the estimated large maternal complications, most maternal healthcare program ignored the burden of those morbidity because of limited understanding of the incidence and prevalence of morbidity conditions and cost of those morbidity burdens on society. The present study provides a general idea of the scope of obstetric complication, incidence of obstetric complication, and cost of those morbidity burdens on society. We conducted a retrospective incidence-based cost of illness study related to obstetric complication from the healthcare system perspective at 25 bedded township hospital in Yedashae during the fiscal year of 2015-2016. For the cost of obstetric complication, average treatment cost was 26.83 USD (±8.59). When looking by disease category, average treatment cost for incomplete abortion was 35.45 USD (±1.75); pelvic inflammatory disease (PID) was 16.01 USD; pregnancy-induced hypertension (PIH) was 21.02 USD (±4.68); ante-partum hemorrhage (APH) was 14.24(± 0.25); post-partum hemorrhage (PPH) was 27.04 USD (±1.56); prolonged labor was 37.55 USD (±0.42); and septicemia was 16.51 USD (±2.15). Significant predicting variables in obstetric complication cost model were incomplete abortion, prolonged labor, post-partum hemorrhage (PPH), pregnancy induced hypertension (PIH), patient age and septicemia. From this study, we can summarize the most frequently occurred obstetric complication in that township area, actual cost burden of those complications and obstetric complication cost model which can be useful for hospital financial management. This study can be considered as a starting point for cost of illness analysis in Myanmar to prioritize and target specific health problem at a country level for policy maker to set priorities for health care intervention.

Government expenditure on health and maternal mortality in México: A spatial-econometric analysis.

OBJECTIVE: To assess the relationship between government expenditure on maternal health (GE) and maternal mortality (MM) in Mexican poor population between 2000 and 2015 in the 2457 Mexican municipalities. METHODS: Using administrative data, we performed the analysis in three stages: First, we tested the presence of selection bias in MM. Next, we assessed the presence of spatial dependence in the incidence and severity of MM. Finally, we estimated a spatial error model considering the correction of estimates for the spatial dependence and selection bias assessed before. RESULTS: MM and GE were not randomly distributed throughout the Mexican territory; the most socially vulnerable municipalities exhibited the highest levels of MM severity but the lowest levels of GE and available human and physical resources for maternal health; the incidence of MM was independent of GE; elasticity of GE-severity in MM was -4% (P < 0.01). CONCLUSIONS: Resource allocation for maternal health must move towards a more comprehensive vision, and efforts to achieve an effective delivery of universal health services must improve, particularly regarding the most vulnerable municipalities.