Download Analyzing Health Equity Using Household Survey Data: A Guide by Adam Wagstaff, Owen O'Donnell, Eddy Van Doorslaer, Magnus PDF

By Adam Wagstaff, Owen O'Donnell, Eddy Van Doorslaer, Magnus Lindelow

Have gaps in well-being results among the negative and higher off grown? Are they better in a single nation than one other? Are wellbeing and fitness region subsidies extra both allotted in a few international locations than others? Are overall healthiness care funds extra innovative in a single wellbeing and fitness care financing approach than one other? What are catastrophic funds and the way can they be measured? How some distance do future health care funds impoverish families?

Answering questions similar to those calls for quantitative research. This in flip is dependent upon a transparent realizing of the way to degree key variables within the research, comparable to healthiness results, health and wellbeing bills, want, and residing criteria. It additionally calls for set quantitative tools for measuring inequality and inequity, progressivity, catastrophic bills, poverty effect, and so on.

This publication offers an summary of the foremost matters that come up within the dimension of future health variables and dwelling criteria, outlines and explains crucial instruments and strategies for distributional research, and, utilizing labored examples, exhibits how those instruments and techniques should be utilized within the future health quarter. The ebook seeks to supply the reader with either an outstanding take hold of of the foundations underpinning distributional research, whereas while providing hands-on suggestions on the way to circulate from ideas to perform.

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Extra info for Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and their Implementation

Sample text

Although poor data quality and availability may currently preclude such linking in low-income countries, census data may be used to study equity issues by constructing need indicators for geographic areas based on demographic and socioeconomic profiles of the population. Notwithstanding the potential for using routine data for health equity analysis, it is important to be aware of the common weaknesses of such data. In particular, coverage is often incomplete and data quality may be poor. For example, as a result of spatial differences in the coverage of health facility infrastructure, routine data are likely to be more complete and representative in urban than in rural areas.

In contrast, an indicator relates to the use or application of an index to measure (or indicate) a specific phenomenon or outcome. For example, typically, anthropometric indexes are used as indicators for nutritional status. However, the extent to which the anthropometric index is an appropriate indicator depends on the nature of the relationship between nutrition and the index in question (formally, the sensitivity and specificity of the indicator). For a more detailed discussion, see WHO (1995).

The general focus of the survey was on issues relating to health and well-being for rural adults and the elderly, including the effects of socioeconomic characteristics on health status and health care utilization; health status, social and kin network characteristics, and resource flows; and community services and infrastructure. The study included a survey of individuals and households, a specialized out-migrant survey (sample of individuals who had left the households of the primary sample since 1982), and a community provider survey.

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