Ellen Van de Poel

Healthcare seeking behaviour among self-help group households in Rural Bihar and Uttar Pradesh, India

BackgroundIn recent years, supported by non-governmental organizations (NGOs), a number of community-based health insurance (CBHI) schemes have been operating in rural India. Such schemes design their benefit packages according to local priorities. This paper examines healthcare seeking behaviour among self-help group households with a view to understanding the implications for the benefit packages offered by such schemes.MethodsWe use cross-sectional data collected from two of India’s poorest states and estimate an alternative-specific conditional logit model to examine healthcare seeking behaviour.ResultsWe find that the majority of respondents do access some form of care and that there is overwhelming use of private providers. Non-degree allopathic providers (NDAP) also called rural medical practitioners are the most popular providers. In the case of acute illnesses, proximity plays an important role in determining provider choice. For chronic illnesses, cost of care influences provider choice.ConclusionGiven the importance of proximity in determining provider choice, benefit packages offered by CBHI schemes should consider coverage of transportation costs and reimbursement of foregone earnings.

Socioeconomic inequality in malnutrition in developing countries

OBJECTIVE The objectives of this study were to report on socioeconomic inequality in childhood malnutrition in the developing world, to provide evidence for an association between socioeconomic inequality and the average level of malnutrition, and to draw attention to different patterns of socioeconomic inequality in malnutrition. METHODS Both stunting and wasting were measured using new WHO child growth standards. Socioeconomic status was estimated by principal component analysis using a set of household assets and living conditions. Socioeconomic inequality was measured using an alternative concentration index that avoids problems with dependence on the mean level of malnutrition. FINDINGS In almost all countries investigated, stunting and wasting disproportionately affected the poor. However, socioeconomic inequality in wasting was limited and was not significant in about one third of countries. After correcting for the concentration indexs dependence on mean malnutrition, there was no clear association between average stunting and socioeconomic inequality. The latter showed different patterns, which were termed mass deprivation, queuing and exclusion. Although average levels of malnutrition were higher with the new WHO reference standards, estimates of socioeconomic inequality were largely unaffected by changing the growth standards. CONCLUSION Socioeconomic inequality in childhood malnutrition existed throughout the developing world, and was not related to the average malnutrition rate. Failure to tackle this inequality is a cause of social injustice. Moreover, reducing the overall rate of malnutrition does not necessarily lead to a reduction in inequality. Policies should, therefore, take into account the distribution of childhood malnutrition across all socioeconomic groups.

Quantifying the impoverishing effects of purchasing medicines: A cross-country comparison of the affordability of medicines in the developing world

Laurens Niëns and colleagues estimate the impoverishing effects of four medicines in 16 low- and middle-income countries using the impoverishment method as a metric of affordability and show that medicine purchases could impoverish large numbers of people.

Malnutrition and the disproportional burden on the poor: the case of Ghana

BackgroundMalnutrition is a major public health and development concern in the developing world and in poor communities within these regions. Understanding the nature and determinants of socioeconomic inequality in malnutrition is essential in contemplating the health of populations in developing countries and in targeting resources appropriately to raise the health of the poor and most vulnerable groups.MethodsThis paper uses a concentration index to summarize inequality in childrens height-for-age z-scores in Ghana across the entire socioeconomic distribution and decomposes this inequality into different contributing factors. Data is used from the Ghana 2003 Demographic and Health Survey.ResultsThe results show that malnutrition is related to poverty, maternal education, health care and family planning and regional characteristics. Socioeconomic inequality in malnutrition is mainly associated with poverty, health care use and regional disparities. Although average malnutrition is higher using the new growth standards recently released by the World Health Organization, socioeconomic inequality and the associated factors are robust to the change of reference population.ConclusionChild malnutrition in Ghana is a multisectoral problem. The factors associated with average malnutrition rates are not necessarily the same as those associated with socioeconomic inequality in malnutrition.

Urbanization and the spread of diseases of affluence in China

We quantify, track and explain the distribution of overweight and of hypertension across Chinese provinces differentiated by their degree of urbanicity over the period 1991-2004. We construct an index of urbanicity from longitudinal data on community characteristics from the China Health and Nutrition Survey and compute, for the first time, a rank-based measure of inequality in disease risk factors by degree of urbanicity. Prevalence rates of overweight and hypertension almost doubled between 1991 and 2004 and these disease risk factors became less concentrated in more urbanized areas. Decomposition analysis reveals that one-half of the urbanicity-related inequality in overweight is directly attributable to community level characteristics, while for hypertension the contribution of such characteristics increased from 20% in 1991 to 62% in 2004. At the individual level, lower engagement in physical activity and farming explain more than half of the urban concentration of overweight and a rising share (28%) of the greater prevalence of hypertension in more urbanized areas. Higher incomes explain around one-tenth of the urban concentration of both overweight and hypertension, while the education advantage of urban populations has a similar sized offsetting effect.

What Explains the Rural-Urban Gap in Infant Mortality - Household or Community Characteristics?

The rural-urban gap in infant mortality rates is explained by using a new decomposition method that permits identification of the contribution of unobserved heterogeneity at the household and the community level. Using Demographic and Health Survey data for six Francophone countries in Central and West sub-Saharan Africa, we find that differences in the distributions of factors that determine mortality-not differences in their effects-explain almost the entire gap. Higher infant mortality rates in rural areas mainly derive from the rural disadvantage in household characteristics, both observed and unobserved, which explain two-thirds of the gap. Among the observed characteristics, environmental factors-a safe source of drinking water, electricity, and quality of housing materials-are the most important contributors. Community characteristics explain less than onequarter of the gap, with about two-thirds of this coming from community unobserved heterogeneity and one-third from the existence of a health facility within the community. The effect of disadvantageous environmental conditions-such as limited electricity and water supply-derives both from a lack of community-level infrastructure and from the inability of some households to exploit it when available. Policy needs to operate at both the community and household levels to correct such deficiencies.

Decomposing malnutrition inequalities between Scheduled Castes and Tribes and the remaining Indian population

Objective. In India, Scheduled Castes and Scheduled Tribes (ST/SC) have been excluded from Hindu society for thousands of years. Together, they comprise over 24% of Indias population and still suffer worse health conditions compared to the rest of the Indian population. This paper decomposes the gap in child malnutrition between the ST/SC and the remaining Indian population, looking at both the ST/SCs disadvantageous distribution of health determinants and possible discriminatory or behavioral differences. Design and setting. A Blinder–Oaxaca decomposition was applied to decompose the gap in childrens average height-for-age z scores, using data from the 1998/1999 Indian Demographic Health Survey. Results. The gap was found to be primarily caused by the ST/SCs lower wealth, education and use of health care services, but also differences in the effects of health determinants played an important role. It was found that within rural areas ST/SC are not necessarily located further from educational and health care facilities. Conclusions. The use of Oaxaca type decomposition can be very useful when studying ethnic inequalities in health as it explicitly allows for discriminatory or behavioral effects. The results did not point to discrimination against ST/SC regarding health care or education. However, in the quest to increase health care use and education among ST/SC, policy makers will have to take into account all the barriers to these services, including those related to cultural sensitivity and acceptability.

Introduction Of Performance-Based Financing In Burundi Was Associated With Improvements In Care And Quality

Several governments in low- and middle-income countries have adopted performance-based financing to increase health care use and improve the quality of health services. We evaluated the effects of performance-based financing in the central African nation of Burundi by exploiting the staggered rollout of this financing across provinces during 2006-10. We found that performance-based financing increased the share of women delivering their babies in an institution by 22 percentage points, which reflects a relative increase of 36 percent, and the share of women using modern family planning services by 5 percentage points, a relative change of 55 percent. The overall quality score for health care facilities increased by 45 percent during the study period, but performance-based financing was found to have no effect on the quality of care as reported by patients. We did not find strong evidence of differential effects of performance-based financing across socioeconomic groups. The performance-based financing effects on the probability of using care when ill were found to be even smaller for the poor. Our findings suggest that a supply-side intervention such as performance-based financing without accompanying access incentives for poor people is unlikely to improve equity. More research into the cost-effectiveness of performance-based financing and how best to target vulnerable populations is warranted.

COPING WITH THE ECONOMIC CONSEQUENCES OF ILL HEALTH IN INDONESIA

We assess the economic risk of ill health for households in Indonesia and the role of informal coping strategies. Using household panel data from the Indonesian socio-economic household survey (Susenas) for 2003 and 2004, and applying fixed effects Poisson models, we find evidence of economic risk from illness through medical expenses. For the poor and the informal sector, ill health events impact negatively on income from wage labour, whereas for the non-poor and formal sector, it is income from self-employed business activities which is negatively affected. However, only for the rural population and the poor does this lead to a decrease in consumption, whereas the non-poor seem to be able to protect current household spending. Borrowing and drawing on family network and buffers, such as savings and assets, seem to be key informal coping strategies for the poor, which may have negative long-term effects. While these results suggest scope for public intervention, the economic risk from income loss for the rural poor is beyond public health care financing reforms. Rather, formal sector employment seems to be a key instrument for financial protection from illness, by also reducing income risk.

Measurement of Inequity in Health Care with Heterogeneous Response of Use to Need

We propose a method of measuring and decomposing inequity in health care utilisation that allows for heterogeneity in the use-need relationship. This makes explicit inequity that derives from unequal treatment response to variation in need, as well as that due to differential effects of non-need determinants. Under plausible conditions concerning heterogeneity in the use-need relationship and the distribution of need, existing methods that impose homogeneity will underestimate pro-rich inequity. This prediction is confirmed for four middle-income Asian countries. In those countries, around one half of the observed socioeconomic inequality is due to utilisation being more responsive to need among the higher wealth and urban dwelling individuals.