BackgroundHealth care expenditure has been low over the years in developing regions of the world. A majority of countries in these regions, especially sub-Saharan Africa (SSA), rely on donor grants and loans to finance health care. Such expenditures are not only unsustainable but also inadequate considering the enormous health care burden in the region. The objectives of this study are to determine the effect of health care expenditure on population health status and to examine the effect by public and private expenditure sources.MethodsThe study used panel data from 1995 to 2010 covering 44 countries in SSA. Fixed and random effects panel data regression models were fitted to determine the effects of health care expenditure on health outcomes.ResultsThe results show that health care expenditure significantly influences health status through improving life expectancy at birth, reducing death and infant mortality rates. Both public and private health care spending showed strong positive association with health status even though public health care spending had relatively higher impact.ConclusionThe findings imply that health care expenditure remains a crucial component of health status improvement in sub-Saharan African countries. Increasing health care expenditure will be a significant step in achieving the Millennium Development Goals. Further, policy makers need to establish effective public-private partnership in allocating health care expenditures.

BackgroundAverage contraceptive prevalence rate in the Nkwanta district of Ghana was estimated to be 6.2% relative to the national average at the time, of 19%. While several efforts had been made to improve family planning in the country, the district still had very low use of modern family planning methods. This study sought to determine the factors that influenced modern family planning use in general and specifically, the factors that determined the consistently low use of modern family planning methods in the district.MethodsA case–control study was conducted in the Nkwanta district of Ghana to determine socio-economic, socio-cultural and service delivery factors influencing family planning usage. One hundred and thirty cases and 260 controls made up of women aged 15–49 years were interviewed using structured questionnaires. A logistic regression was fitted.ResultsAwareness and knowledge of modern family planning methods were high among cases and controls (over 90%). Lack of formal education among women, socio-cultural beliefs and spousal communication were found to influence modern family planning use. Furthermore, favourable opening hours of the facilities and distance to health facilities influenced the use of modern contraceptives.ConclusionWhile modern family planning seemed to be common knowledge among these women, actual use of such contraceptives was limited. There is need to improve use of modern family planning methods in the district. In addition to providing health facilities and consolidating close-to-client service initiatives in the district, policies directed towards improving modern family planning method use need to consider the influence of formal education. Promoting basic education, especially among females, will be a crucial step as the district is faced with high levels of school dropout and illiteracy rates.

BackgroundAn understanding of the complex relationship between health status and welfare is crucial for critical policy interventions. However, the focus of most policies in developing regions has been on current welfare to the neglect of forward-looking welfare analysis. The absence of adequate research in the area of future poverty or vulnerability to poverty has also contributed to the focus on current welfare. The objectives of this study were to estimate vulnerability to poverty among households in Ghana and examine the relationship between health status and vulnerability to poverty.MethodThe study used cross section data from the Fifth Round of the Ghana Living Standards Survey (GLSS 5) with a nationally representative sample of 8,687 households from all administrative regions in Ghana. A three-step Feasible Generalized Least Squares (FGLS) estimation procedure was employed to estimate vulnerability to poverty and to model the effect of health status on expected future consumption and variations in future consumption. Vulnerability to poverty estimates were also examined against various household characteristics.ResultsUsing an upper poverty line, the estimates of vulnerability show that about 56% of households in Ghana are vulnerable to poverty in the future and this is higher than the currently observed poverty level of about 29%. Households with ill members were vulnerable to poverty. Moreover, households with poor hygiene conditions were also vulnerable to future poverty. The vulnerability to poverty estimates were, however, sensitive to the poverty line used and varied with household characteristics.ConclusionThe results imply that policies directed towards poverty reduction need to take into account the vulnerability of households to future poverty. Also, hygienic conditions and health status of households need not be overlooked in poverty reduction strategies.

Background Sustainable Development Goal (SDG) 3 aims to "ensure healthy lives and promote well-being for all at all ages". While a substantial effort has been made to quantify progress towards SDG3, less research has focused on tracking spending towards this goal. We used spending estimates to measure progress in financing the priority areas of SDG3, examine the association between outcomes and financing, and identify where resource gains are most needed to achieve the SDG3 indicators for which data are available. MethodsWe estimated domestic health spending, disaggregated by source (government, out-of-pocket, and prepaid private) from 1995 to 2017 for 195 countries and territories. For disease-specific health spending, we estimated spending for HIV/AIDS and tuberculosis for 135 low-income and middle-income countries, and malaria in 106 malaria-endemic countries, from 2000 to 2017. We also estimated development assistance for health (DAH) from 1990 to 2019, by source, disbursing development agency, recipient, and health focus area, including DAH for pandemic preparedness. Finally, we estimated future health spending for 195 countries and territories from 2018 until 2030. We report all spending estimates in inflation-adjusted 2019 US$, unless otherwise stated. FindingsSince the development and implementation of the SDGs in 2015, global health spending has increased, reaching $7•9 trillion (95% uncertainty interval 7•8-8•0) in 2017 and is expected to increase to $11•0 trillion (10•7-11•2) by 2030. In 2017, in low-income and middle-income countries spending on HIV/AIDS was $20•2 billion (17•0-25•0) and on tuberculosis it was $10•9 billion (10•3-11•8), and in malaria-endemic countries spending on malaria was $5•1 billion (4•9-5•4). Development assistance for health was $40•6 billion in 2019 and HIV/AIDS has been the health focus area to receive the highest contribution since 2004. In 2019, $374 million of DAH was provided for pandemic preparedness, less than 1% of DAH. Although spending has increased across HIV/AIDS, tuberculosis, and malaria since 2015, spending has not increased in all countries, and outcomes in terms of prevalence, incidence, and per-capita spending have been mixed. The proportion of health spending from pooled sources is expected to increase from 81•6% (81•6-81•7) in 2015 to 83•1% (82•8-83•3) in 2030.Interpretation Health spending on SDG3 priority areas has increased, but not in all countries, and progress towards meeting the SDG3 targets has been mixed and has varied by country and by target. The evidence on the scale-up of spending and improvements in health outcomes suggest a nuanced relationship, such that increases in spending do not always results in improvements in outcomes. Although countries will probably need more resources to achieve SDG3, other constraints in the broader health system such as inefficient allocation of resources across interventions and populations, weak governance systems, human resource shortages, and drug shortages, will also need to be addressed.Funding The Bill & ...

The world is now predominantly urban; rapid and uncontrolled urbanisation continues across low-income and middle-income countries (LMICs). Health systems are struggling to respond to the challenges that urbanisation brings. While better-off urbanites can reap the benefits from the ‘urban advantage’, the poorest, particularly slum dwellers and the homeless, frequently experience worse health outcomes than their rural counterparts. In this position paper, we analyse the challenges urbanisation presents to health systems by drawing on examples from four LMICs: Nigeria, Ghana, Nepal and Bangladesh. Key challenges include: responding to the rising tide of non-communicable diseases and to the wider determinants of health, strengthening urban health governance to enable multisectoral responses, provision of accessible, quality primary healthcare and prevention from a plurality of providers. We consider how these challenges necessitate a rethink of our conceptualisation of health systems. We propose an urban health systems model that focuses on: multisectoral approaches that look beyond the health sector to act on the determinants of health; accountability to, and engagement with, urban residents through participatory decision making; and responses that recognise the plurality of health service providers. Within this model, we explicitly recognise the role of data and evidence to act as glue holding together this complex system and allowing incremental progress in equitable improvement in the health of urban populations.

BackgroundIn Ghana, malaria is endemic and perennial (with significant seasonal variations in the three Northern Regions), accounting for 33 % of all deaths among children under 5 years old, with prevalence rates in children under-five ranging from 11 % in Greater Accra to 40 % in Northern Region. Ghana adopted the WHO-recommended Seasonal Malaria Chemoprevention (SMC) strategy with a trial in the Upper West Region in 2015. The objective of this study was to estimate the cost-effectiveness of seasonal malaria chemoprevention.MethodsCosts were analysed from provider and societal perspectives and are reported in 2015 US$. Data on resource use (direct and indirect costs) of the SMC intervention were collected from intervention records and a survey in all districts and at regional level. Additional numbers of malaria cases and deaths averted by the intervention were estimated based on prevalence data obtained from an SMC effectiveness study in the region. Incremental cost-effectiveness ratios (ICERs) were estimated for the districts and region. Sensitivity analyses were conducted to test the robustness of the ICERs.ResultsThe total financial cost of the intervention was US$1,142,040.80. The total economic cost was estimated to be US$7.96 million and US$2.66 million from the societal and provider perspectives, respectively. The additional numbers of cases estimated to be averted by the intervention were 24,881 and 808, respectively. The economic cost per child dosed was US$67.35 from societal perspective and US$22.53 from the provider perspective. The economic cost per additional case averted was US$107.06 from the provider perspective and US$319.96 from the societal perspective. The economic cost per additional child death averted by the intervention was US$3298.36 from the provider perspective and US$9858.02 from the societal perspective. The financial cost per the SMC intervention delivered to a child under-five was US$9.66. The ICERs were sensitive to mortality rate used.ConclusionsThe SMC intervention is economically beneficial in reducing morbidity in children under-5 years and presents a viable approach to improving under-five health in Ghana.

The relatively moderate rate of attrition could be attributed to the high level of community involvement in the selection process as well as other aspects of the intervention leading to high community approval and support. Attention for these aspects could help improve CHW retention in community-based health interventions in Ghana, and the lessons could be applied to countries within similar settings.

Background The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020. Methods We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US$, 2020 US$ per capita, purchasing-power parity-adjusted US$ per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050. Findings In 2019, health spending globally reached $8·8 trillion (95% uncertainty interval [UI] 8·7–8·8) or $1132 (1119–1143) per person. Spending on health varied within and across income groups and geographical regions. Of this total, $40·4 billion (0·5%, 95% UI 0·5–0·5) was development assistance for health provided to low-income and middle-income countries, which made up 24·6% (UI 24·0–25·1) of total spending in low-income countries. We estimate that $54·8 billion in development assistance for health was disbursed in 2020. Of this, $13·7 billion was targeted toward the COVID-19 health response. $12·3 billion was newly committed and $1·4 billion was repurposed from existing health projects. $3·1 billion (22·4%) of the funds focused on country-level coordination and $2·4 billion (17·9%) was for supply chain and logistics. Only $714·4 million (7·7%) of COVID-19 development assistance for health went to Latin America, despite this region reporting 34·3% of total recorded COVID-19 deaths in low-income or middle-income countries in 2020. Spending on health is expected to rise to $1519 (1448–1591) per person in 2050, although spending across countries is expected to remain varied. Interpretatio...