Factors associated with the enrollment of commercial medical insurance in China: Results from China General Social Survey.

BACKGROUND: The Chinese government has been promoting commercial medical insurance (CMI) in recent decades as it plays an increasingly important role in addressing disease burden, health inequities, and other healthcare challenges. However, compared with developed countries, the CMI is still less fledged with low coverage. OBJECTIVE: This study aims to explore the factors associated with enrollment in CMI, with regards to explicit characteristics (including sociodemographic characteristics and family economic status), latent characteristics (including social security status), and the global incentive compatibility index (including health status), to inform the design of CMI to improve its coverage in China. METHODS: Based on the principal-agent model, we summarized and classified the factors associated with the enrollment in CMI, and then analyzed the data generated from the Chinese General Social Survey in 2015,2018 and 2021 respectively. A comparison of factors regarding sociodemographic characteristics, family economic status, social security status, and health status was conducted between individuals enrolled and unenrolled in CMI using Mann-Whitney U test and Chi-square test. Binary logistic regression analysis was used to explore factors influencing the enrollment status of CMI. RESULTS: Of all individuals, the proportion of enrolled individuals shows an increasing trend year by year, with 8.7%,11.8% and 14.1% enrolled in CMI in 2015,2018 and 2021, respectively. The binary regression analysis further suggested that the factors associated with the enrollment in CMI were consistent in 2015,2018 and 2021.We found that individuals divorced, obese, who had a higher level of education, had non-agricultural household registration, perceived themselves as the upper social status, conducted daily exercise, had more family houses, had a car, had investment activities, or did not have basic health insurance were more likely to be enrolled in CMI. CONCLUSIONS: We identified multidimensional factors associated with the enrollment of CMI, which help inform the government and insurance industry to improve the coverage of CMI.

The cost of public health interventions to respond to the 10th Ebola outbreak in the Democratic Republic of the Congo.

The 10th Ebola virus disease (EVD) outbreak in the Democratic Republic of the Congo (DRC) drew substantial attention from the international community, which in turn invested more than US$1 billion in EVD control over two years (2018-2020). This is the first EVD outbreak to take place in a conflict area, which led to a shift in strategy from a pure public health response (PHR) to a multisectoral humanitarian response. A wide range of disease control and mitigation activities were implemented and were outlined in the five budgeted Strategic Response Plans used throughout the 26 months. This study used the budget/expenditure and output indicators for disease control and mitigation interventions compiled by the government of DRC and development and humanitarian partners to estimate unit costs of key Ebola control interventions. Of all the investment in EVD control, 68% was spent on PHR. The remaining 32% covered security, community support interventions for the PHR. The disbursement for the public health pillar was distributed as follows: (1) coordination (18.8%), (2), clinical management of EVD cases (18.4%), (3) surveillance and vaccination (15.9%), (4) infection prevention and control/WASH (13.8%) and (5) risk communication (13.7%). The unit costs of key EVD control interventions were as follows: US$66 182 for maintaining a rapid response team per month, US$4435 for contact tracing and surveillance per identified EVD case, US$1464 for EVD treatment per case, US$59.4 per EVD laboratory test, US$120.7 per vaccinated individual against EVD and US$175.0 for mental health and psychosocial support per beneficiary. The estimated unit costs of key EVD disease control interventions provide crucial information for future infectious disease control planning and budgeting, as well as prioritisation of disease control interventions.

Modelling the economic burden of SARS-CoV-2 infection in health care workers in four countries.

Health care workers (HCWs) experienced greater risk of SARS-CoV-2 infection during the COVID-19 pandemic. This study applies a cost-of-illness (COI) approach to model the economic burden associated with SARS-CoV-2 infections among HCWs in five low- and middle-income sites (Kenya, Eswatini, Colombia, KwaZulu-Natal province, and Western Cape province of South Africa) during the first year of the pandemic. We find that not only did HCWs have a higher incidence of COVID-19 than the general population, but in all sites except Colombia, viral transmission from infected HCWs to close contacts resulted in substantial secondary SARS-CoV-2 infection and death. Disruption in health services as a result of HCW illness affected maternal and child deaths dramatically. Total economic losses attributable to SARS-CoV-2 infection among HCWs as a share of total health expenditure ranged from 1.51% in Colombia to 8.38% in Western Cape province, South Africa. This economic burden to society highlights the importance of adequate infection prevention and control measures to minimize the risk of SARS-CoV-2 infection in HCWs.

Cost-Effectiveness of Expanding Access to Primary Health Care in Rural Rwanda by Adding Laboratory-Equipped Health Posts: A Prospective, Controlled Study.

To improve access to affordable primary health care and preventive services, in 2019 Rwanda's Ministry of Health inaugurated eight laboratory-equipped second-generation health posts (SGHPs) in the Bugesera District. Patient fees through Rwanda's insurance system (mutuelles) funded most operational costs through a public-private partnership. This prospective, controlled trial evaluated the posts' impact and cost-effectiveness. Our evaluation matched the rural cells containing these posts to eight control cells in Bugesera without formal health posts. We assessed costs using 2 years of financial data; accessed use statistics at SGHPs, health centers, and in the international literature; interviewed 1,952 randomly selected residents; conducted eight focus groups; and performed difference-in-differences regressions and survival analyses. Second-generation health posts increased primary care use by 1.83 outpatient visits per person per year (P < 0.0001). Of the 10 prevention indicators compared with trends, two improved significantly with SGHPs (two showed nonsignificant improvements), and one indicator experienced a significant deterioration. Second-generation health posts generated health improvements at a low cost and achieved a small, but favorable, 5% margin of revenues over financial costs. Second-generation health posts produced a very favorable incremental cost-effectiveness ratio of only $101 per disability-adjusted life year averted-only 13% of Rwanda's per-capita gross national income. In conclusion, SGHPs improved substantially the quantity of affordable outpatient care per person. However, net impacts on quality and completeness of care and prevention, although favorable, were small. For further improvements in access and quality of care, Rwanda's health authorities may wish to incentivize quality and strengthen coordination with other health system components.

The effectiveness of pay-for-performance contracts with non-governmental organizations in Afghanistan - results of a controlled interrupted time series analysis.

BACKGROUND: In many contexts, including fragile settings like Afghanistan, the coverage of basic health services is low. To address these challenges there has been considerable interest in working with NGOs and examining the effect of financial incentives on service providers. The Government of Afghanistan has used contracting with NGOs for more than 15 years and in 2019 introduced pay-for-performance (P4P) into the contracts. This study examines the impact of P4P on health service delivery in Afghanistan. METHODS: We conducted an interrupted time series (ITS) analysis with a non-randomized comparison group that employed segmented regression models and used independently verified health management information system (HMIS) data from 2015 to 2021. We compared 31 provinces with P4P contracts to 3 provinces where the Ministry of Public Health (MOPH) continued to deliver services without P4P. We used data from annual health facility surveys to assess the quality of care. FINDINGS: Independent verification of the HMIS data found that consistency and accuracy was greater than 90% in the contracted provinces. The introduction of P4P increased the 10 P4P-compensated service delivery outcomes by a median of 22.1 percentage points (range 10.2 to 43.8) for the two-arm analysis and 19.9 percentage points (range: - 8.3 to 56.1) for the one-arm analysis. There was a small decrease in quality of care initially, but it was short-lived. We found few other unintended consequences. INTERPRETATION: P4P contracts with NGOs led to a substantial improvement in service delivery at lower cost despite a very difficult security situation. The promising results from this large-scale experience warrant more extensive application of P4P contracts in other fragile settings or wherever coverage remains low.

Population mental health matters child health disparity: a national level analysis.

BACKGROUND: The association between social distress and child health is important and attracts research interest. This study aims to examine the trend of inequality in the mortality rate for children under five (U5MR) over time and decompose the population mental health (PMH)-gradient in U5MR into different drivers at the national level. METHODS: Data from 1990 to 2019 on the U5MR, PMH, and potential risk factors, such as socioeconomic status, environmental exposures at the national level, health behavior, basic water and sanitation services, urbanization, healthcare level, and HIV prevalence, were collected from online databases. We described the trend of U5MR and broke down U5MR based on the countries' risk factor status and PMH. We constructed regression models and decomposed the drivers of change in U5MR disparity based on PMH-gradient. RESULTS: The difference in U5MR between countries with different levels of air pollution and income status was narrowed since 1990 for the high PMH groups. Countries with a higher level of PMH had less significant differences in U5MR between low- and middle-income groups than those with a lower level of PMH. The development of PMH-related gradient in child health is not consistent thoroughly. Before 2000, boys experienced a sharper decline in PMH-related gradient in health than girls did. The decomposition shows that the changes in PMH-gradient in child health were mainly caused by changes in the return to risk factors. The mental health of female population matters more in child health outcomes. CONCLUSION: Although the U5MR converges across countries, the reason varies. The PMH gradient in child mortality is mainly explained by the change in the return to risk factors. The PMH-gradient health disparity in boys is larger than that in girls in 2019, which indicates that boys' health may be more vulnerable to the development of PMH recently. The findings remind us that we need to pay attention to the hidden reasons for the growth of disparity. It also suggests that improving PMH has a great impact on reducing PMH-related health disparity, especially for boys. Our research contributes to the understanding of the transition of PMH-related health disparity in U5MR and provides policy implications for reducing gender disparity in child health.

Optimizing immunization schedules in endemic cholera regions: cost-effectiveness assessment of vaccination strategies for cholera control in Bangladesh.

This study is to examine the cost-effectiveness of deployment strategies of oral cholera vaccines (OCVs) in controlling cholera in Bangladesh. We developed a dynamic compartment model to simulate costs and health outcomes for 12 years for four OCVs deployment scenarios: (1) vaccination of children aged one and above with two doses of OCVs, (2) vaccination of population aged 5 and above with a single dose of OCVs, (3) vaccination of children aged 1-4 with two doses of OCVs; and (4) combined strategy of (2) and (3). We obtained all parameters from the literature and performed a cost-effectiveness analysis from both health systems and societal perspectives, in comparison with the base scenario of no vaccination.The incremental cost-effectiveness ratios (ICERs) for the four strategies from the societal perspective were $2,236, $2,250, $1,109, and $2,112 per DALY averted, respectively, with herd immunity being considered. Without herd immunity, the ICERs increased substantially for all four scenarios except for the scenario that vaccinates children aged 1-4 only. The major determinants of ICERs were the case fatality rate and the incidence of cholera, as well as the efficacy of OCVs. The projection period and frequency of administering OCVs would also affect the cost-effectiveness of OCVs. With the cut-off of 1.5 times gross domestic product per capita, the four OCVs deployment strategies are cost-effective. The combined strategy is more efficient than the strategy of vaccinating the population aged one and above with two doses of OCVs and could be considered in the resource-limited settings.

Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis.

INTRODUCTION: A well performing public healthcare system is necessary for Kenya to continue progress towards universal health coverage (UHC). Identifying actionable measures to improve the performance of the public healthcare system is critical to progress towards UHC. We aimed to measure and compare the performance of Kenya's public healthcare system at the county level and explore remediable drivers of poor healthcare system performance. METHODS: Using administrative data from fiscal year 2014/2015 through fiscal year 2017/2018, we measured the technical efficiency of 47 county-level public healthcare systems in Kenya using stochastic frontier analysis. We then regressed the technical efficiency measure against a set of explanatory variables to examine drivers of efficiency. Additionally, in selected counties, we analysed surveys and focus group discussions to qualitatively understand factors affecting performance. RESULTS: The median technical efficiency of county public healthcare systems was 84% in fiscal year 2017/2018 (with an IQR of 79% to 90%). Across the four fiscal years of data, 27 out of the 47 Kenyan counties had a declining technical efficiency score. Our regression analysis indicated that impediments to the flow of funding-measured by the budget absorption rate which is the ratio between funds spent and funds released-were significantly related to poor healthcare system performance. Our analysis of interviews and surveys yielded a similar conclusion as nearly 50% of respondents indicated issues stemming from poor budget absorption were significant drivers of poor healthcare system performance. CONCLUSION: Public healthcare systems at the county-level in Kenya general performed well; however, addressing delays in the flow of funding is a concrete step to improve healthcare system performance. As Kenya-and other countries-provides additional funding to meet their UHC goals, establishing a strong and robust public financial management system is critical to ensure that the benefits of UHC are realised.

Assessing the contextual effect of community in the utilization of postnatal care services in Ghana.

BACKGROUND: Inequalities in the use of postnatal care services (PNC) in Ghana have been linked to poor maternal and neonatal health outcomes. This has ignited a genuine concern that PNC interventions with a focus on influencing solely individual-level risk factors do not achieve the desired results. This study aimed to examine the community-level effect on the utilization of postnatal care services. Specifically, the research explored clusters of non-utilization of PNC services as well as the effect of community-level factors on the utilization of PNC services, with the aim of informing equity-oriented policies and initiatives. METHODS: The 2014 Ghana Demographic and Health Survey GDHS dataset was used in this study. Two statistical methods were used to analyze the data; spatial scan statistics were used to identify hotspots of non-use of PNC services and second two-level mixed logistic regression modeling was used to determine community-level factors associated with PNC services usage. RESULTS: This study found non-use of PNC services to be especially concentrated among communities in the Northern region of Ghana. Also, the analyses revealed that community poverty level, as well as community secondary or higher education level, were significantly associated with the utilization of PNC services, independent of individual-level factors. In fact, this study identified that a woman dwelling in a community with a higher concentration of poor women is less likely to utilize of PNC services than those living in communities with a lower concentration of poor women (Adjusted odds ratio (AOR) = 0.60, 95%CI: 0.44-0.81). Finally, 24.0% of the heterogeneity in PNC services utilization was attributable to unobserved community variability. CONCLUSION: The findings of this study indicate that community-level factors have an influence on women's health-seeking behavior. Community-level factors should be taken into consideration for planning and resource allocation purposes to reduce maternal health inequities. Also, high-risk communities of non-use of obstetric services were identified in this study which highlights the need to formulate community-specific strategies that can substantially shift post-natal use in a direction leading to universal coverage.

Improving fiscal space for health from the perspective of efficiency in low- and middle-income countries: What is the evidence?

BACKGROUND: Conceptual frameworks of fiscal space for health have traditionally considered health system efficiency improvements as a means to free up resources for the sector. However, there has been no comprehensive review of the evidence to confirm the relationship between efficiency and fiscal space. METHODS: We conducted a systematic review to synthesize evidence on whether efficiency gains increase fiscal space for health. We searched bibliographic databases for specific keywords - namely, fiscal space, efficiency and health - and identified 22 articles that examined links between efficiency gains and fiscal space for health. The articles, which encapsulated 28 case studies, were included in the analysis. RESULTS: The 28 case studies varied widely with regard to how efficiency was evaluated, the extent to which efficiency was explored, and how efficiency gains could be achieved. Half of the studies assessed both technical and allocative efficiency, and the other half assessed technical efficiency only. The indicators to examine potential inefficiencies varied substantially among studies. The most frequently cited inefficiencies stemmed from public financial management (budget implementation, budget allocation and strategic purchasing) and governance issues, even though these were characterized in various ways. The second most cited set of inefficiencies that caused health systems to function poorly were those related to health service delivery. Procurement and delivery of input factors was also mentioned in some studies as a source of inefficiency. Though most studies conceded that efficiency gains were a potential means to improve fiscal space for health, very few quantified the potential gains or explored practical mechanisms to translate efficiency gains into fiscal space for health. CONCLUSIONS: While the conceptual link between efficiency gains and fiscal space for health may be assumed, there is no direct empirical evidence proving that efficiency gains translate into more resources for the health sector. Mechanisms to translate efficiency gains into fiscal space are barely explored in the fiscal space literature. Public financial management rules and related rules for reallocating funds within the sector need to be further examined to guide countries in the transformation of efficiency gains into more resources for health.

Combination of Interventions Needed to Improve Maternal Healthcare Utilization: A Multinomial Analysis of the Inequity in Place of Childbirth in Afghanistan.

Giving birth with a skilled birth attendant at a facility that provides emergency obstetric care services has better outcomes, but many women do not have access to these services in low- and middle-income countries. Individual, household, and societal factors influence women's decisions about place of birth. Factors influencing birthplace preference by type of provider and level of public facility are not well understood. Applying the Andersen Behavioral Model of healthcare services use, we explored the association between characteristics of women and their choice of childbirth location using a multinomial logistic regression, and conducted a scenario analysis to predict changes in the childbirth location by imposing various interventions. Most women gave birth at home (68.1%), while 15.1% gave birth at a public clinic, 12.1% at a public hospital, and 4.7% at a private facility. Women with higher levels of education, from households in the upper two wealth quintiles, and who had any antenatal care were more likely to give birth in public or private facilities than at home. A combination of multisector interventions had the strongest signals from the model for increasing the predicted probability of in-facility childbirths. This study enhances our understanding of factors associated with the use of public facilities and the private sector for childbirth in Afghanistan. Policymakers and healthcare providers should seek to improve equity in the delivery of health services. This study highlights the need for decisionmakers to consider a combination of multisector efforts (e.g., health, education, and social protection), to increase equitable use of maternal healthcare services.

Socioeconomic inequalities in the use of caesarean section delivery in Ghana: a cross-sectional study using nationally representative data.

BACKGROUND: Inappropriate use of Caesarean Section (CS) delivery is partly to blame for Ghana's high maternal mortality rate. However, previous research offered mixed findings about factors associated with CS use. The goal of this study is to examine use of CS in Ghana and the socioeconomic factors associated with it. METHODS: Data from the nationally representative 2014 Ghana Demographic and Health Survey (GDHS) was used after permission from the Monitoring and Evaluation to Assess and Use Results (MEASURE) Demographic and Health Survey (DHS) program. Univariable and multivariable logistic regression models were fitted to examine the socioeconomic inequalities in CS use. The independent variables included maternal age, marital status, religion, ethnicity, education, place of residence, wealth quintile, and working status. Concentration index (CI) and rate-ratios were computed to ascertain the level of CS inequalities. RESULTS: Out of the 4294 women, 11.4% had CS delivery. However, the percentage of CS delivery ranged from 5% of women in the poorest quintile to 27.5% of women in the richest qunitle. Significant associations were detected between CS delivery and maternal age, parity, education, and wealth quintile . CONCLUSIONS: This study revealed that first, even though Ghana has achieved an aggregate CS rate consistent with WHO recommendations, it still suffers from inequities in the use of CS. Second, both underuse of CS among poorer women in Ghana and overuse among rich and educated women are public health concerns that need to be addressed. Third, the results show in spite of Ghana's free maternal care services policies, wealth status of women continues to be strongly and signtificantly associated with CS delivery, indicating that there are indirect health care costs and other reasons preventing poorer women from having access to CS which should be understood better and addressed with appropriate policies.

The social determinants of health facility delivery in Ghana.

BACKGROUND: Many women still deliver outside a health facility in Ghana, often under unhygienic conditions and without skilled birth attendants. This study aims to examine the social determinants influencing the use of health facility delivery among reproductive-aged women in Ghana. METHODS: Nationally representative data from the 2014 Ghana Demographic and Health Survey was used to fit univariable and multivariable logistic regression models to estimate the influence of the social determinants on health facility delivery. Andresen's health care utilization model was used as the conceptual framework guiding this study.. RESULTS: Only 72% of deliveries take place at a health facility in Ghana. The results of the adjusted model indicate that place of residence, financial status, education, religion, parity and perceived need were significantly associated with health facility delivery. First, urban women had a higher likelihood of health facility delivery than rural women (Adjusted Odds ratio [AOR] =2.21; 95% Confidence interval [CI] = 1.53-3.19). Second, middle-class and rich women were 1.57 (95%CI = 1.18-2.08) times and 6.91 (95%CI = 4.12-11.59) times, respectively more likely to deliver at health facility compared to the poor. Third, women with either at least secondary education (AOR = 2.04; 95%CI = 1.57-2.64) or primary education (AOR = 1.39, 95%CI = 1.02-1.92) were more likely to deliver at health facility than women with no education. In terms of parity, first time mothers were 1.58 (95% CI = 1.18-2.12) times more likely to deliver at health facility than those who had given birth three or more times before. Finally, regarding perceived need, women who were aware of pregnancy complications were 1.32 (95%CI = 1.02-1.70) times more likely to use health facility delivery than those who were not informed about pregnancy complications. CONCLUSIONS: First, in spite of Ghana's free maternal health services policy, poorer women were much less likely to have a health facility delivery, which points to the need to understand the indirect costs and other financial barriers preventing women from delivering at a health facility. Second, many of the identified variables influence the demand and not just the supply for health care services, and highlight the importance of the social determinants of health and investments in interventions that extend beyond improving physical access.

Evaluating medicine prices, availability and affordability in Bangladesh using World Health Organisation and Health Action International methodology.

BACKGROUND: Previous studies have shown limited availability of medicines in health facilities in Bangladesh. While medicines are dispensed for free in public facilities, they are paid out-of-pocket in private pharmacies. Availability, price and affordability are key concerns for access to medicines in Bangladesh. METHODS: The World Health Organization/Health Action International survey methodology was used to determine price, availability and affordability of 61 lowest price generic (LPG) and originator branded medicines in public facilities, private retail pharmacies and private clinics across 6 regions of Bangladesh. Medicines for non-communicable and infectious diseases, and both on and off the national Essential Medicines List were included. Prices were compared internationally using Median Price Ratio (MPR). RESULTS: Mean LPG (originator brand) availability in the public sector, private retail pharmacies, and private clinics was 37%, 63 (4) percent, and 54 (2) percent, respectively. Medicines for Non-Communicable Diseases (NCD) and essential medicines were significantly less available than infectious disease medicines and non-essential medicines, respectively. Mean LPG (originator brand) MPR was 0.977 in the public sector, 1.700 (3.698) in private retail pharmacies and 1.740 (3.758) in private clinics. Six medicines were expensive by international standards across all sectors. The least affordable treatments in both private sectors were bisoprolol (hypertension), metformin (diabetes) and atorvastatin (hypercholesterolemia). CONCLUSION: Availability and affordability of NCD medicines are key concerns where the burden of NCD is rising. These findings show improvement from earlier studies, but room for further advances in availability and affordability of NCD medicines in Bangladesh. A small number of medicines are consistently expensive across sectors in Bangladesh, suggesting the need for strategies to address prices for certain medicines.

The impact and cost-effectiveness of user fee exemption by contracting out essential health package services in Malawi.

OBJECTIVES: To examine the impact and cost-effectiveness of user fee exemption by contracting out essential health package services to Christian Health Association of Malawi (CHAM) facilities through service-level agreements (SLAs) to inform policy-making in Malawi. METHODS: The analysis was conducted from the government perspective. Financial and service utilisation data were collected for January 2015 through December 2016. The impact of SLAs on utilisation of maternal and child health (MCH) services was examined using propensity score matching and random-effects models. Subsequently, the improved services were converted to quality-adjusted life years (QALYs) gained, using the Lives Saved Tool (LiST), and incremental cost-effectiveness ratios (ICERs) were generated. FINDINGS: Over the 2 years, a total of $1.5 million was disbursed to CHAM facilities through SLAs, equivalent to $1.24 per capita. SLAs were associated with a 13.8%, 13.1%, 19.2% and 9.6% increase in coverage of antenatal visits, postnatal visits, delivery by skilled birth attendants and BCG vaccinations, respectively. This was translated into 434 lives saved (95% CI 355 to 512) or 11 161 QALYs gained (95% CI 9125 to 13 174). The ICER of SLAs was estimated at $134.7/QALYs gained (95% CI $114.1 to $164.7). CONCLUSIONS: The cost per QALY gained for SLAs was estimated at $134.7, representing 0.37 of Malawi's per capita gross domestic product ($363). Thus, MCH services provided with Malawi's SLAs proved cost-effective. Future refinements of SLAs could introduce pay for performance, revising the price list, streamlining the reporting system and strengthening CHAM facilities' financial and monitoring management capacity.

Utilization of Health Care and Burden of Out-of-Pocket Health Expenditure in Zimbabwe: Results from a National Household Survey.

In the last decade, Zimbabwe has undertaken substantial changes and implemented new initiatives to improve health system performance and services delivery, including results-based financing in rural health facilities. This study aims to examine the utilization of health services and level of financial risk protection of Zimbabwe's health system. Using a multistage sampling approach, 7,135 households with a total of 32,294 individuals were surveyed in early 2016 on utilization of health services, out-of-pocket (OOP) health expenditure, and household consumption (as a measure of living standards) in 2015. The study found that the outpatient visits were favorable to the poor but the poorest had less access to inpatient care. In 2015, household OOP expenditure accounted for about one quarter of total health expenditure in Zimbabwe and 7.6% of households incurred catastrophic health expenditure (CHE). The incidence of CHE was 13.4% in the poorest quintile in comparison with 2.8% in the richest. Additionally, 1.29% of households fell into poverty due to health care-related expenditures. The study suggests that there are inequalities in utilization of health services among different population groups. The poor seeking inpatient care are the most vulnerable to CHE.

Cost-effectiveness of results-based financing, Zambia: a cluster randomized trial.

OBJECTIVE: To evaluate the cost-effectiveness of results-based financing and input-based financing to increase use and quality of maternal and child health services in rural areas of Zambia. METHODS: In a cluster-randomized trial from April 2012 to June 2014, 30 districts were allocated to three groups: results-based financing (increased funding tied to performance on pre-agreed indicators), input-based financing (increased funding not tied to performance) or control (no additional funding), serving populations of 1.33, 1.26 and 1.40 million people, respectively. We assessed incremental financial costs for programme implementation and verification, consumables and supervision. We evaluated coverage and quality effectiveness of maternal and child health services before and after the trial, using data from household and facility surveys, and converted these to quality-adjusted life years (QALYs) gained. FINDINGS: Coverage and quality of care increased significantly more in results-based financing than control districts: difference in differences for coverage were 12.8% for institutional deliveries, 8.2% postnatal care, 19.5% injectable contraceptives, 3.0% intermittent preventive treatment in pregnancy and 6.1% to 29.4% vaccinations. In input-based financing districts, coverage increased significantly more versus the control for institutional deliveries (17.5%) and postnatal care (13.2%). Compared with control districts, 641 more lives were saved (lower-upper bounds: 580-700) in results-based financing districts and 362 lives (lower-upper bounds: 293-430) in input-based financing districts. The corresponding incremental cost-effectiveness ratios were 809 United States dollars (US$) and US$ 413 per QALY gained, respectively. CONCLUSION: Compared with the control, both results-based financing and input-based financing were cost-effective in Zambia.