171 research outputs found
Sometimes more equal than others: How the choice of welfare indicator can affect the measurement of health inequalities and the incidence of public spending
No full textIn recent years, a large body of empirical work has focused on measuring and explaining socioeconomic inequalities in health outcomes and health service use. In any effort to address these questions, analysts must confront the issue of how to measure socioeconomic status. In developing countries, socioeconomic status has typically been measured by per capita consumption or an asset index. Currently, there is only limited information on how the choice of welfare indicators affect the analysis of health inequalities and the incidence of public spending. The paper focuses on five key health service outcomes in Mozambique. It uses the concentration index approach to measures both socioeconomic inequality in the utilization of health services and the sensitivity of measured inequality to the choice of welfare indicator. The results illustrate that, at least in some contexts, the choice of welfare indicator can have a large and significant impact on socioeconomic inequalities in service use and on the “perceived” incidence of public spending. The findings point at the need to be cautious in measuring inequality, but also to extend and deepen the analysis of service use.
Sometimes more equal than others : how health inequalities depend on the choice of welfare indicator
No full textA large body of empirical work in recent years has focused on measuring and explaining socioeconomic inequalities in health outcomes and health service use. In any effort to address these questions, analysts must confront the issue of how to measure socioeconomic status. In developing countries, socioeconomic status has typically been measured by per capita consumption or an asset index. Currently, there is only limited information on how the choice of welfare indicators affects the analysis of health inequalities and the incidence of public spending. The purpose of this paper is to illustrate the potential sensitivity of the analysis of health-related inequalities to how socioeconomic status is measured. Using data from Mozambique, the paper focuses on five key health service indicators and tests whether measured inequality (concentration index) in the five health service variables is different depending on the choice of welfare indicator. The paper shows that, at least in some contexts, the choice of welfare indicator can have a large and significant impact on measured inequality in utilization of health service and on the perceived incidence of public spending. Consequently, we can reach very different conclusions about the"same"issue depending on how we define socioeconomic status. The results call for more clarity and care in the analysis of health-related inequalities and for explicit recognition of the potential sensitivity of findings to the choice of welfare measure. The results also point to the need for more careful research on how different dimensions of socioeconomic status are related, and on the pathways by which these dimensions affect health-related variables.Public Health Promotion,Economic Theory&Research,Health Systems Development&Reform,Housing&Human Habitats,Environmental Economics&Policies,Housing&Human Habitats,Environmental Economics&Policies,Inequality,Economic Theory&Research,Poverty Assessment
Sometimes More Equal than Others How the choice of welfare indicator can affect the measurement of health inequalities and the incidence of public spending
No full textIn recent years, a large body of empirical work has focused on measuring and explaining socioeconomic inequalities in health outcomes and health service use. In any effort to address these questions, analysts must confront the issue of how to measure socioeconomic status. In developing countries, socioeconomic status has typically been measured by per capita consumption or an asset index. Currently, there is only limited information on how the choice of welfare indicators affect the analysis of health inequalities and the incidence of public spending. The paper focuses on five key health service outcomes in Mozambique. It uses the concentration index approach to measures both socioeconomic inequality in the utilization of health services and the sensitivity of measured inequality to the choice of welfare indicator. The results illustrate that, at least in some contexts, the choice of welfare indicator can have a large and significant impact on socioeconomic inequalities in service use and on the “perceived” incidence of public spending. The findings point at the need to be cautious in measuring inequality, but also to extend and deepen the analysis of service use.
Health facility surveys : an introduction
No full textHealth facility surveys come in various guises. One dimension in which they vary is their motivation. Some seek to understand better links between households and providers. Others seek to understand better provider behavior and performance. Still others seek to understand the interrelationships between providers, while yet others seek to shed light on the linkages between government and providers. Health facility surveys differ too in the data they collect, in part due to the different motivations. Surveys also vary in the way they collect data, some relying on direct observation, some on record review, and some on interview. Some quality data are collected through clinical vignettes. Facility data have been put to a variety of uses, including planning and budgeting; monitoring, evaluation, and promoting accountability; and research. Lindel and Wagstaff review some of the literature under each heading and offer some conclusions regarding the current state of health facility surveys.Health Monitoring&Evaluation,Public Health Promotion,Health Systems Development&Reform,Early Child and Children's Health,Housing&Human Habitats,Health Monitoring&Evaluation,Health Systems Development&Reform,Agricultural Knowledge and Information Systems,Housing&Human Habitats,Health Economics&Finance
The socio-geography of mining and hydro in Lao PDR: Analysis Combining GIS Information with Socioeconomic Data
No full textUnderstanding spatial variation in the utilization of health services: does quality matter?
No full textUtilization of health services are an important policy concern in most developing countries, reflecting both efforts to improve health outcomes and to meet international obligations to make health services broadly accessible. Although many policy and research initiatives have focused on the need to improve physical access, not enough is understood about what factors affect health care choices, and why low levels of utilization persists among certain socioeconomic groups or geographic regions despite improved physical access. Reflecting these concerns, this paper focuses on the role of health care quality in understanding spatial variation in the utilization of both curative and preventive health services in Mozambique. The analysis is based on matched household and facility data, where the sample of household was drawn from the catchment area of each facility. The findings show that health care quality is a significant and important factor in women.s choice of delivery location. In particular, both the presence of maternity staff and a broader service range make it more likely that women choose a facility-based delivery. Conversely, the analysis suggests that quality is not a significant determinant in decisions about outpatient visits, while physical access, education, and economic variables are important. The findings hence suggest that the impact of quality may be service specific, and that although certain dimensions of quality may have little or no impact on outpatient visits, they may be important determinants of the use of other health services. As developing countries to continue to face difficult trade-offs between quality and physical access in the allocation of resources, it will be important to deepen our understanding of how individuals make health care choices. The results presented in this paper are a step in that direction.
For public service or money: Understanding geographical imbalances in the health workforce in Ethiopia
No full textGeographical imbalances in the health workforce have been a consistent feature of nearly all health systems, and especially in developing countries. In this paper we investigate the willingness to work in a rural area among final year nursing and medical students in Ethiopia. Analyzing data obtained from contingent valuation questions, we find that household consumption and the student’s motivation to help the poor, which is our proxy for intrinsic motivation, are the main determinants of willingness to work in a rural area. We investigate whoe is willing to help the poor and find that women are significantly more likely than men. Other variables, including a rich set of psychosocial characteristics, are not significant. Finally, we carry out some simulation on how much it would cost to make the entire cohort of starting nurses and doctors chooseto take up a rural post.Health care delivery, health workers, labour supply, public service
Sometimes more equal than others: how health inequalities depend on the choice of welfare indicator
No full textIn recent years, a large body of empirical work has focused on measuring and explaining socio-economic inequalities in health outcomes and health service use. In any effort to address these questions, analysts must confront the issue of how to measure socioeconomic status. In developing countries, socioeconomic status has typically been measured by per capita consumption or an asset index. Currently, there is only limited information on how the choice of welfare indicators affect the analysis of health inequalities and the incidence of public spending. The purpose of this paper is to illustrate the potential sensitivity of the analysis of health related inequalities to how socioeconomic status is measured. Using data from Mozambique, the paper focuses on five key health service indicators, and tests whether measured inequality (concentration index) in health service utilization differs depending on the choice of welfare indicator. The paper shows that, at least in some contexts, the choice of welfare indicator can have a large and significant impact on measured inequality in utilization of health services. In consequence, we can reach very different conclusions about the 'same' issue depending on how we define socioeconomic status. The paper also provides some tentative conclusions about why and in what contexts health inequalities can be sensitive to the choice of living standards measure. The results call for more clarity and care in the analysis of health related inequalities, and for explicit recognition of the potential sensitivity of findings to the choice of welfare measure. The results also point at the need for more careful research on how different dimensions of SES are related, and on the pathways by which the respective different dimensions impact on health related variables. Copyright © 2005 John Wiley & Sons, Ltd.
Health care demand in rural Mozambique
No full textDespite rapid economic growth in recent years, Mozambique remains a very poor country. Expenditure-based poverty measures are reflected in widespread food insecurity and poor health status. In recognition of these problems, the Government of Mozambique is promoting expanded and improved quality and equity in access to health care as an important component in the global strategy to fight poverty. Given years of colonial neglect and systematic destruction of health facilities during the civil war, recent government policy has focused on expanding the rural health network. However, insofar as the ultimate objective of the provision of curative services is to ensure that those in need of care receive effective treatment, it is also necessary to think beyond supply. Specifically, we need to consider how individuals behave during episodes of illness, and what factors affect this behavior. This paper provides quantitative evidence on the importance of individual, household, and community characteristics on individuals' care-seeking decisions during episodes of illness. The paper estimates a “flexible” multinomial model of health care provider choice conditional on illness using data from the 1996/97 Mozambique National Household Survey on Living Conditions (IAF). The empirical analysis is underpinned by a basic theoretical framework of utility maximization and household production of health. A number of individual and household characteristics, e.g., age, education, and reported symptoms, stand out as highly significant determinants of health seeking behavior. Also, prices, defined in the model as the composite of user fees and time costs associated with consultations at different providers, are found to be important determinants of choice. The results indicate that the eradication of poverty, independent of improvements in physical access to health care and education, will have only a negligible effect on health care choices.Poverty alleviation. ,Rural health services Mozambique. ,
The Utilization of Curative Health Care in Mozambique: Does Income Matter?
No full textIn Mozambique, easily treatable diseases such as malaria, diarrhea, and respiratory infections contribute to a heavy burden of disease. Notwithstanding efforts by the Mozambican government to promote access to health care, many who could benefit from simple cost-effective health care services do not currently receive treatment. Moreover, it is known that the utilization of health services varies considerably across spatial domains and socio-economic groups. This paper is concerned with understanding the determinants of utilization of curative health services, paying particular attention to the role of income. It provides a broad analytical framework for analyzing both the binary decision to seek formal health care in the event of illness, and the multinomial choice of health care provider. The results show that income is not an important determinant of health care choices in Mozambique. Rather, other factors, in particular education and physical access, are more important. Moreover, unlike in some studies, own (time) price elasticity does not vary notably with income. At a methodological level, the analysis shows that the general conclusions are robust to a number of estimation issues that are rarely addressed explicitly in the analysis of health care choices, including sample selection, the potential endogeneity of consumption, and cluster-level unobservables. For the analysis of provider choice, the paper demonstrates the merits of a 'flexible' behavioral model. In particular, the paper rejects some of the restrictions of the standard model of provider choice, and shows that both the level of the price elasticity and the extent to which the elasticity varies with income is sensitive to the empirical specification.
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