Financial Protection in Health among the Elderly - A Global Stocktake.

Universal Health Coverage is one of the key targets of the Sustainable Development Goals and it implies that everyone can access the healthcare they need without suffering financial hardship. In this paper, we use a large set of household surveys to examine if older populations are facing different degrees of financial hardship compared to younger populations. We find that while differences in average age structures between countries are not systematically associated with higher financial risk related to out-of-pocket health expenditures, there are large differences in financial hardship between younger and older households within countries. Households with more elderly members are more likely to face catastrophic and impoverishing out-of-pocket health payments compared to younger households, and this age gradient is stronger for the poorest segments of the population. Making progress toward Universal Health Coverage will require extension and improved targeting of benefit packages and financial protection to meet the health needs of older adults, and especially the poorest and most vulnerable segments of elderly populations.

Will the Quest for UHC be Derailed?

COVID-19 has shocked all countries' economic and health systems. The combined direct health impact and the current macro-fiscal picture present real and present risks to health financing that facilitate progress toward universal health coverage (UHC). This paper lays out the health financing mechanisms through which the UHC objectives of service coverage and financial protection may be impacted. Macroeconomic, fiscal capacity, and poverty indicators and trends are analyzed in conjunction with health financing indicators to present spending scenarios. The analysis shows that falling or reduced economic growth, combined with rising poverty, is likely to lead to a fall in service use and coverage, while any observed reductions in out-of-pocket spending have to be analyzed carefully to make sure they reflect improved financial protection and not just decreased utilization of services. Potential decreases in out-of-pocket spending will likely be drive by households' financial constraints that lead to less service use. In this way, it is critical to measure and monitor both the service coverage and financial protection indicators of UHC to have a complete picture of downstream effects. The analysis of historical data, including available evidence since the start of the COVID-19 pandemic, lay the foundation for health financing-related policy options that can effectively safeguard UHC progress particularly for the poor and most vulnerable. These targeted policy options are based on documented evidence of effective country responses to previous crises as well as the overall evidence base around health financing for UHC.

Child Health Outcome Inequalities in Low and Middle Income Countries.

Prior to the Sustainable Development Goals (SDG) era, considerable progress was made toward the Millennium Development Goals (MDGs) health indicators. Despite these achievements, many countries failed to meet the MDG target levels, between-country inequalities in health outcomes did not improve, and many countries making progress in average indicator levels did so while at the same time seeing increasing within-country inequalities. We build on the existing literature documenting levels and trends in health inequalities by expanding the number of data-points under focus, and we contribute to this literature by analyzing the extent to which inequalities in child health outcomes are related to socioeconomic inequalities, and to aggregate income growth. The objective of this paper is to examine long-run trends in average population levels and within-country inequalities for two child health outcomes-the under-five mortality rate (U5MR) and stunting-in 102 countries across 6 regions. We find that only about a third of countries in our sample managed to both reduce U5MR levels and inequalities, and only a quarter did so for stunting. The fact that inequality in service coverage seems to follow a more favorable trend than inequality in health outcomes suggests that policies aiming to reduce health inequities should not only foster more equitable service coverage but also focus on the social determinants of health. Moreover, there is no strong correlation between changes in health inequalities and income growth, suggesting that income generating development policies alone will typically not suffice to improve health outcomes and reduce health inequalities.

Understanding Health Workers' Job Preferences to Improve Rural Retention in Timor-Leste: Findings from a Discrete Choice Experiment.

BACKGROUND: Timor-Leste built its health workforce up from extremely low levels after its war of independence, with the assistance of Cuban training, but faces challenges as the first cohorts of doctors will shortly be freed from their contracts with government. Retaining doctors, nurses and midwives in remote areas requires a good understanding of health worker preferences. METHODS: The article reports on a discrete choice experiment (DCE) carried out amongst 441 health workers, including 173 doctors, 150 nurses and 118 midwives. Qualitative methods were conducted during the design phase. The attributes which emerged were wages, skills upgrading/specialisation, location, working conditions, transportation and housing. FINDINGS: One of the main findings of the study is the relative lack of importance of wages for doctors, which could be linked to high intrinsic motivation, perceptions of having an already highly paid job (relative to local conditions), and/or being in a relatively early stage of their career for most respondents. Professional development provides the highest satisfaction with jobs, followed by the working conditions. Doctors with less experience, males and the unmarried are more flexible about location. For nurses and midwives, skill upgrading emerged as the most cost effective method. CONCLUSIONS: The study is the first of its kind conducted in Timor-Leste. It provides policy-relevant information to balance financial and non-financial incentives for different cadres and profiles of staff. It also augments a thin literature on the preferences of working doctors (as opposed to medical students) in low and middle income countries and provides insights into the ability to instil motivation to work in rural areas, which may be influenced by rural recruitment and Cuban-style training, with its emphasis on community service.