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Analyzing Health Equity Using Household Survey Data : A Guide to Techniques and Their Implementation.
Title:
Analyzing Health Equity Using Household Survey Data : A Guide to Techniques and Their Implementation.
Author:
O'Donnell, Owen.
ISBN:
9780821369340
Personal Author:
Physical Description:
1 online resource (301 pages)
Contents:
Cover -- Title Page -- Contents -- Foreword -- Preface -- 1 Introduction -- Introduction -- The Rise of Health Equity Research -- The Aim of the Volume and the Audience -- Focal Variables, Research Questions, and Tools -- Organization of the Volume -- Notes -- References -- 2 Data for Health Equity Analysis: Requirements, Sources, and Sample Design -- Introduction -- Data Requirements for Health Equity Analysis -- Health Outcomes and Health-Related Behavior -- Living Standards or Socioeconomic Status -- Other Complementary Data -- Data Sources and Their Limitations -- Household Surveys and Other Nonroutine Data -- Routine Data: Health Information Systems and Censuses -- Examples of Survey Data -- Demographic and Health Surveys (DHS and DHS+) -- The Living Standards Measurement Study -- UNICEF Multiple Indicator Cluster Surveys -- WHO World Health Survey -- WHO Multicountry Evaluation of the Integrated Management of Childhood Illnesses -- RAND Surveys -- Indonesia Family Life Survey -- Malaysian Family Life Surveys -- Matlab Health and Socioeconomic Survey -- Guatemalan Survey of Family Health -- University of North Carolina Surveys -- Cebu Longitudinal Health and Nutrition Surveys -- China Health and Nutrition Survey -- Nang Rong (Thailand) Projects -- Sample Design and the Analysis of Survey Data -- The Importance of taking Sample Design into Account: An Illustration -- Notes -- References -- 3 Health Outcome #1: Child Survival -- Introduction -- Complete Fertility History and Direct Mortality Estimation -- Preparing the Data: Example from the Living Standards Measurement Study -- Preparing the data: Demographic and Health Survey -- Computing mortality rates and standard errors -- Disaggregated Analysis and Sample Weights -- Incomplete Fertility History and Indirect Mortality Estimation -- Preparing the data for QFIVE.

Obtaining and Interpreting Output from QFIVE -- Notes -- References -- 4 Health Outcome #2: Anthropometrics -- Introduction -- Overview of Anthropometric Indicators -- Weight-for-Height -- Height-for-Age -- Weight-for-Age -- Standardization on a Reference Population -- Other Anthropometric Indicators -- Mid-Upper Arm Circumference -- Body Mass Index -- Computation of Anthropometric Indicators -- Software for Anthropometric Analysis -- From physical measurement to anthropometric indicators: a step-by-step guide using EPI INFO -- Constructing Anthropometric Indicators Using Stata -- Analyzing Anthropometric Data -- Useful sources of further information -- Notes -- References -- 5 Health Outcome #3: Adult Health -- Introduction -- Describing Health Inequalities with Categorical Data -- Demographic Standardization of the Health Distribution -- Indirect Standardization -- Direct Standardization -- Example-Age-Sex Standardization of an SAH Distribution, Jamaica 1989 -- Computation for Demographic Standardization -- Indirect Standardization -- Direct Standardization -- Conclusion -- Notes -- References -- 6 Measurement of Living Standards -- Introduction -- An Overview of Living Standards Measures -- Direct Measures of Material Living Standards -- Proxy Measures of Living Standards -- Some Practical Issues in Constructing Living Standards Variables -- Measuring Income -- Measuring Consumption and Constructing Consumption Aggregates -- Aggregating Different Components of Consumption -- Food Consumption -- Nonfood Consumption -- Consumer Durables -- Adjusting for Cost-of-Living Differences -- Adjusting for Household Size and Composition -- Constructing an Asset Index -- Principal Components and Factor Analysis -- Using Factor Weights from Another Survey -- Does the Choice of the Measure of Living Standards Matter? -- Notes -- References.

7 Concentration Curves -- Introduction -- The Concentration Curve Defined -- Graphing concentration curves-the grouped-data case -- Graphing Concentration Curves-The Microdata Case -- Testing concentration Curve Dominance -- Notes -- References -- 8 The Concentration Index -- Introduction -- Definition and Properties -- Definition -- Properties -- Estimation and Inference for Grouped Data -- Point Estimate of the Concentration Index -- Standard Error -- Case in Which Within-Group Variances are Unknown -- Case in Which Within-Group Variances are Known -- Estimation and Inference for Microdata -- Point Estimate of the Concentration Index -- Computation of the Concentration Index -- Standard Error -- Demographic Standardization of the Concentration Index -- Sensitivity of the Concentration Index to the Living Standards Measure -- Notes -- References -- 9 Extensions to the Concentration Index: Inequality Aversion and the Health Achievement Index -- Introduction -- The Extended Concentration Index -- Computing the Extended Concentration Index on Microdata -- Computing the extended concentration index on grouped data -- Achievement-Trading Off Inequality and the Mean -- Computing the Achievement Index -- Notes -- References -- 10 Multivariate Analysis of Health Survey Data -- Introduction -- Descriptive versus Causal Analysis -- Descriptive Analysis -- Causal Models -- Estimation and Inference with Complex Survey Data -- Stratified Sampling -- Computation -- Cluster Samples -- Case 1: Exogenous Cluster Effects -- Case 2: Endogenous Cluster Effects -- Computation -- Explaining Community Effects -- Case 1: Exogenous Cluster (Community) Effects -- Case 2: Endogenous Cluster (Community) Effects -- Computation -- Sample Weights -- Further Reading -- References -- 11 Nonlinear Models for Health and Medical Expenditure Data -- Introduction.

Binary Dependent Variables -- Computation -- Limited Dependent Variables -- Two-Part Model -- Tobit Model -- Sample Selection Model -- Computation -- Count Dependent Variables -- Computation -- Further Reading -- Notes -- References -- 12 Explaining Differences between Groups: Oaxaca Decomposition -- Introduction -- Oaxaca-Type Decompositions -- Some Preliminaries -- Oaxaca's Decomposition -- Related Decompositions -- Illustration: Decomposing Poor-Nonpoor Differences in Child Malnutrition in Vietnam -- Regression Model and Its Estimation -- Decomposition -- Extensions -- Notes -- References -- 13 Explaining Socioeconomic-Related Health Inequality: Decomposition of the Concentration Index -- Introduction -- Decomposition of the concentration index -- Computation -- Decomposition of change in the concentration index -- Computation -- Extensions -- Notes -- References -- 14 Who Benefits from Health Sector Subsidies? Benefit Incidence Analysis -- Introduction -- Distribution of Public Health Care Utilization -- Calculation of the Public Health Subsidy -- Definition of Public Subsidy -- Unit Costs -- User Fees -- Evaluating the Distribution of the Health Subsidy -- Computation -- Notes -- References -- 15 Measuring and Explaining Inequity in Health Service Delivery -- Introduction -- Measuring Horizontal Inequity -- Indirect Standardization with Nonlinear Models -- Computation -- Explaining Horizontal Inequity -- Computation -- Further Reading -- Notes -- References -- 16 Who Pays for Health Care? Progressivity of Health Finance -- Introduction -- Definition and measurement of variables -- Ability to pay -- Health Care Payments -- Assessing Progressivity -- Measuring Progressivity -- Progressivity of Overall Health Financing -- Computation -- Notes -- References -- 17 Redistributive Effect of Health Finance -- Introduction.

Decomposing the redistributive effect -- Computation -- Notes -- References -- 18 Catastrophic Payments for Health Care -- Introduction -- Catastrophic Payments-a Definition -- Measuring Incidence and Intensity of Catastrophic Payments -- Distribution-Sensitive Measures of Catastrophic Payments -- Computation -- Further reading -- Notes -- References -- 19 Health Care Payments and Poverty -- Introduction -- Health Payments-Adjusted Poverty Measures -- Defining the Poverty Line -- Computation -- References -- Back Cover.
Abstract:
This book provides a step-by-step practical guide to the measurement of a variety of aspects of health equity, with worked examples and code for Stata and SPSS. It also provides practical advice on a variety of associated issues such as measuring health and living standards, and the application of regression analysis to health data. Have gaps in health outcomes between the poor and better off grown? Are they larger in one country than another? Are health sector subsidies more equally distributed in some countries than others? Are health care payments more progressive in one health care financing system than another? What are catastrophic payments and how can they be measured? How far do health care payments impoverish households? Answering questions such as these requires quantitative analysis. This in turn depends on a clear understanding of how to measure key variables in the analysis, such as health outcomes, health expenditures, need, and living standards. It also requires set quantitative methods for measuring inequality and inequity, progressivity, catastrophic expenditures, poverty impact, and so on. This book provides an overview of the key issues that arise in the measurement of health variables and living standards, outlines and explains essential tools and methods for distributional analysis, and, using worked examples, shows how these tools and methods can be applied in the health sector. The book seeks to provide the reader with both a solid grasp of the principles underpinning distributional analysis, while at the same time offering hands-on guidance on how to move from principles to practice.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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