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.

Progress on impoverishing health spending in 122 countries: a retrospective observational study.

BACKGROUND: The goal of universal health coverage (UHC) requires that families who get needed health care do not suffer financial hardship as a result. This can be measured by instances of impoverishment, when a household's consumption including out-of-pocket spending on health is more than the poverty line but its consumption, excluding out-of-pocket spending, is less than the poverty line. This links UHC directly to the policy goal of reducing poverty. METHODS: We measure the incidence and depth of impoverishment as the difference in the poverty head count and poverty gap with and without out-of-pocket spending included in household total consumption. We use three poverty lines: the US$1·90 per day and $3·10 per day international poverty lines and a relative poverty line of 50% of median consumption per capita. We estimate impoverishment in 122 countries using 516 surveys between 1984 and 2015. We estimate the global incidence of impoverishment due to out-of-pocket payments by aggregating up from each country, using a survey for the year in question when available, and interpolation and model-based estimates otherwise. We do not derive global estimates to measure the depth of impoverishment but focus on the median depth for the 122 countries in our sample, accounting for 90% of the world's population. FINDINGS: We find impoverishment due to out-of-pocket spending even in countries where the entire population is officially covered by a health insurance scheme or by national or subnational health services. Incidence is negatively correlated with the share of total health spending channelled through social security funds and other government agencies. Across countries, the population-weighted median annual rate of change of impoverishment is negative at the $1·90 per day poverty line but positive at the $3·10 per day and relative poverty lines. We estimate that at the $1·90 per day poverty line, the worldwide incidence of impoverishment decreased between 2000 and 2010, from 131 million people (2·1% of the world's population) to 97 million people (1·4%). The population-weighted median of the poverty gap increase attributable to out-of-pocket health expenditures among the 122 countries in our sample are ¢1·22 per capita at the $1·90 per day poverty line and ¢3·74 per capita at the $3·10 per day poverty line. In all countries, out-of-pocket spending can be both catastrophic and impoverishing at all income levels, but this partly depends on the choice of the poverty line. INTERPRETATION: Out-of-pocket spending on health can add to the poverty head count and the depth of poverty by diverting household spending from non-health budget items. The scale of such impoverishment varies between countries and depends on the poverty line but might in some low-income countries account for as much as four percentage points of the poverty head count. Increasing the share of total health expenditure that is prepaid, especially through taxes and mandatory contributions, can help reduce impoverishment. FUNDING: Rockefeller Foundation, Ministry of Health of Japan, and UK Department for International Development.

Progress on catastrophic health spending in 133 countries: a retrospective observational study.

BACKGROUND: The goal of universal health coverage (UHC) requires inter alia that families who get needed health care do not suffer undue financial hardship as a result. This can be measured by the percentage of people in households whose out-of-pocket health expenditures are large relative to their income or consumption. We aimed to estimate the global incidence of catastrophic health spending, trends between 2000 and 2010, and associations between catastrophic health spending and macroeconomic and health system variables at the country level. METHODS: We did a retrospective observational study of health spending using data obtained from household surveys. Of 1566 potentially suitable household surveys, 553 passed quality checks, covering 133 countries between 1984 and 2015. We defined health spending as catastrophic when it exceeded 10% or 25% of household consumption. We estimated global incidence by aggregating up from every country, using a survey for the year in question when available, and interpolation and model-based estimates otherwise. We used multiple regression to explore the relation between a country's incidence of catastrophic spending and gross domestic product (GDP) per person, the Gini coefficient for income inequality, and the share of total health expenditure spent by social security funds, other government agencies, private insurance schemes, and non-profit institutions. FINDINGS: The global incidence of catastrophic spending at the 10% threshold was estimated as 9·7% in 2000, 11·4% in 2005, and 11·7% in 2010. Globally, 808 million people in 2010 incurred catastrophic health spending. Across 94 countries with two or more survey datapoints, the population-weighted median annual rate of change of catastrophic payment incidence was positive whatever catastrophic payment incidence measure was used. Incidence of catastrophic payments was correlated positively with GDP per person and the share of GDP spent on health, and incidence correlated negatively with the share of total health spending channelled through social security funds and other government agencies. INTERPRETATION: The proportion of the population that is supposed to be covered by health insurance schemes or by national or subnational health services is a poor indicator of financial protection. Increasing the share of GDP spent on health is not sufficient to reduce catastrophic payment incidence; rather, what is required is increasing the share of total health expenditure that is prepaid, particularly through taxes and mandatory contributions. FUNDING: Rockefeller Foundation, Ministry of Health of Japan, UK Department for International Development (DFID).

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.

Maize flour fortification in Africa: markets, feasibility, coverage, and costs.

The economic feasibility of maize flour and maize meal fortification in Kenya, Uganda, and Zambia is assessed using information about the maize milling industry, households' purchases and consumption levels of maize flour, and the incremental cost and estimated price impacts of fortification. Premix costs comprise the overwhelming share of incremental fortification costs and vary by 50% in Kenya and by more than 100% across the three countries. The estimated incremental cost of maize flour fortification per metric ton varies from $3.19 in Zambia to $4.41 in Uganda. Assuming all incremental costs are passed onto the consumer, fortification in Zambia would result in at most a 0.9% increase in the price of maize flour, and would increase annual outlays of the average maize flour-consuming household by 0.2%. The increases for Kenyans and Ugandans would be even less. Although the coverage of maize flour fortification is not likely to be as high as some advocates have predicted, fortification is economically feasible, and would reduce deficiencies of multiple micronutrients, which are significant public health problems in each of these countries.

Household Consumption and Expenditures Surveys (HCES): a primer for food and nutrition analysts in low- and middle-income countries.

BACKGROUND: The dearth of 24-hour recall and observed-weighed food record data--what most nutritionists regard as the gold standard source of food consumption data-has long been an obstacle to evidence-based food and nutrition policy. There have been a steadily growing number of studies using household food acquisition and consumption data from a variety of multipurpose, nationally representative household surveys as a proxy measure to overcome this fundamental information gap. OBJECTIVE: To describe the key characteristics of these increasingly available Household Consumption and Expenditures Surveys (HCES) in order to help familiarize food and nutrition analysts with the strengths and shortcomings of these data and thus encourage their use in low- and middle-income countries; and to identify common shortcomings that can be readily addressed in the near term in a country-by-country approach, as new HCES are fielded, thereby beginning a process of improving the potential of these surveys as sources of useful data for better understanding food- and nutrition-related issues. METHODS: Common characteristics of key food and nutrition information that is available in HCES and some basic common steps in processing HCES data for food and nutrition analyses are described. RESULTS: The common characteristics of these surveys are documented, and their usefulness in addressing major food and nutrition issues, as well as their shortcomings, is demonstrated. CONCLUSIONS: Despite their limitations, the use of HCES data constitutes a generally unexploited opportunity to address the food consumption information gap by using survey data that most countries are already routinely collecting.

Estimating micronutrient intakes from Household Consumption and Expenditures Surveys (HCES): an example from Bangladesh.

BACKGROUND: Globally, there is a scarcity of national food consumption data that could help to assess food patterns and nutrient intakes of population groups. Estimates of food consumption patterns and apparent intakes of energy and nutrients could be obtained from national Household Consumption and Expenditures Surveys (HCES). OBJECTIVE: To use the HCES conducted in Bangladesh in 2005 (HIES2005) to estimate apparent intakes of vitamin A, iron, and zinc. METHODS: Food acquisition data from HIES2005, which surveyed 10,080 households, were transformed into standard measurement units. Intrahousehold food and nutrient distribution was estimated with Adult Male Equivalent (AME) units. Adequacy of intake was assessed by comparing individual nutrient intakes with requirements and was then aggregated by households. RESULTS: The weighted mean energy intake for the population was 2,151 kcal/person/day, with a range among divisions from 1,950 in Barisal to 2,195 in Dhaka division. The apparent intakes of vitamin A and iron were insufficient to satisfy the recommended intakes for more than 80% of the population in Bangladesh, while apparent intakes of zinc, adjusted by bioavailability, satisfied the requirements of approximately 60% of the population. CONCLUSIONS: Using the HIES2005, we were able to produce estimates of apparent food consumption and intakes of some key micronutrients for the Bangladeshi population and observed wide differences among divisions. However, the methodological approaches reported here, although feasible and promising, need to be validated with other dietary intake methods.

Indian social safety net programs as platforms for introducing wheat flour fortification: a case study of Gujarat, India.

BACKGROUND: Micronutrient deficiencies exact an enormous health burden on India. The release of the National Family Health Survey results--showing the relatively wealthy state of Gujarat having deficiency levels exceeding national averages--prompted Gujarat officials to introduce fortified wheat flour in their social safety net programs (SSNPs). OBJECTIVE: To provide a case study of the introduction of fortified wheat flour in Gujarat's Public Distribution System (PDS), Integrated Child Development Scheme (ICDS), and Mid-Day Meal (MDM) Programme to assess the coverage, costs, impact, and cost-effectiveness of the initiative. METHODS: India's 2004/05 National Sample Survey data were used to identify beneficiaries of each of Gujarat's three SSNPs and to estimate usual intake levels of vitamin A, iron, and zinc. Comparing age- and sex-specific usual intakes to Estimated Average Requirements, the proportion of the population with inadequate intakes was estimated. Postfortification intake levels and reductions in inadequate intake were estimated. The incremental cost of fortifying wheat flour and the cost-effectiveness of each program were estimated. RESULTS: When each program was assessed independently, the proportion of the population with inadequate vitamin A intakes was reduced by 34% and 74% among MDM and ICDS beneficiaries, respectively. Both programs effectively eliminated inadequate intakes of both iron and zinc. Among PDS beneficiaries, the proportion with inadequate iron intakes was reduced by 94%. CONCLUSIONS. Gujarat's substitution of fortified wheat flour for wheat grain is dramatically increasing the intake of micronutrients among its SSNP beneficiaries. The incremental cost of introducing fortification in each of the programs is low, and, according to World Health Organization criteria, each program is "highly cost-effective." The introduction of similar reforms throughout India would largely eliminate the inadequate iron intake among persons participating in any of the three SSNPs and would have a significant impact on the global prevalence rate of inadequate iron intake.

Reliability of infrared ear thermometry in the prediction of rectal temperature in older inpatients.

AIMS AND OBJECTIVES: To assess the capability of infrared ear thermometry accurately to predict rectal temperature in older patients. BACKGROUND: Infrared ear thermometry is now commonly used for predicting body temperature in older patients. However, ear thermometry has been insufficiently evaluated in geriatric patients. DESIGN: Prospective, convenience sample, unblinded study. METHODS: All patients (or their guardians) gave informed consent. Patients hospitalised in a geriatric unit underwent sequential ear and rectal temperatures measurements using two different models of infrared ear thermometers (ThermoScan and Genius) and a rectal probe, respectively. After a brief otoscopic examination, ear temperatures were measured twice at both ears with each thermometer, the highest of four measurements being retained for analysis. The rectal temperature was the reference standard. RESULTS: Hundred patients (31 males), aged 81 (SD 7) years completed the study. The mean rectal temperature was 37.3 degrees C (SD 0.7) degrees C (range 36.3-40.7 degrees C). Eighteen patients were febrile (rectal temperature >or= 37.8 degrees C). The mean bias between rectal and ear temperatures as measured with the ThermoScan was -0.20 degrees C (SD 0.32) degrees C and the 95% limits of agreement were -0.83 degrees C and 0.42 degrees C (95% CI, -0.88-0.48 degrees C). Using the Genius, the corresponding figures were -0.56 degrees C (SD 0.39) degrees C, -1.32 degrees C and 0.20 degrees C (95% CI, -1.39-0.27 degrees C). After correction for bias, the ThermoScan predicted the level of fever with a maximum error of 0.7 degrees C (mean error 0.3 degrees C). Using the Genius, the maximum error and the mean error were 1.6 degrees C and 0.4 degrees C, respectively. CONCLUSIONS: Infrared ear thermometry can predict rectal temperature in normothermic and in febrile inpatients with an acceptable level of accuracy. However, the predictive accuracy depends on both operator technique and quality of instrumentation. RELEVANCE TO CLINICAL PRACTICE: Proper technique (measuring in both ears) and optimal instrumentation (model of ear thermometer) are essential for accuracy.

Household income and expenditure surveys: a tool for accelerating the development of evidence-based fortification programs.

BACKGROUND: One-third of the world's population suffers from micronutrient deficiencies due primarily to inadequate dietary intake. Food fortification is often touted as the most promising short- to medium-term strategy for combating these deficiencies. Despite its appealing characteristics, progress in fortification has been slow. OBJECTIVE: To assess the potential of household food-purchase data to fill the food-consumption information gap, which has been an important factor contributing to the slow growth of fortification programs. METHODS: Household income and expenditure survey (HIES) data about: (a) a population's distribution of apparent household consumption, which are essential to setting safe fortification levels, (b) the proportion of households purchasing "fortifiable" food, and (c) the quantity of food being purchased were used to proxy food-consumption data and develop suggested fortification levels. RESULTS: The usefulness of the approach in addressing several common fortification program design issues is demonstrated. HIES-based suggested fortification levels are juxtaposed with ones developed using the most common current approach, which relies upon Food and Agriculture Organization (FAO) Food Balance Sheets. CONCLUSIONS: Despite its limitations, the use of HIES data constitutes a generally unexploited opportunity to address the food-consumption information gap by using survey data that nearly every country of the world is already routinely collecting. HIES data enable the design of fortification programs to become more based on country-specific data and less on general rules of thumb. The more routine use of HIES data constitutes a first step in improving the precision of fortification feasibility analyses and improving estimates of the coverage, costs, and impact of fortification programs.