Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial

Poverty and human capital development are inextricably linked and therefore research on human capital typically incorporates measures of economic well-being. In the context of randomized trials of health interventions, for example, such measures are used to: 1) assess baseline balance; 2) estimate c...

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Veröffentlicht in:PloS one 2018-06, Vol.13 (6), p.e0199393
Hauptverfasser: Chasekwa, Bernard, Maluccio, John A, Ntozini, Robert, Moulton, Lawrence H, Wu, Fan, Smith, Laura E, Matare, Cynthia R, Stoltzfus, Rebecca J, Mbuya, Mduduzi N N, Tielsch, James M, Martin, Stephanie L, Jones, Andrew D, Humphrey, Jean H, Fielding, Katherine
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container_issue 6
container_start_page e0199393
container_title PloS one
container_volume 13
creator Chasekwa, Bernard
Maluccio, John A
Ntozini, Robert
Moulton, Lawrence H
Wu, Fan
Smith, Laura E
Matare, Cynthia R
Stoltzfus, Rebecca J
Mbuya, Mduduzi N N
Tielsch, James M
Martin, Stephanie L
Jones, Andrew D
Humphrey, Jean H
Fielding, Katherine
description Poverty and human capital development are inextricably linked and therefore research on human capital typically incorporates measures of economic well-being. In the context of randomized trials of health interventions, for example, such measures are used to: 1) assess baseline balance; 2) estimate covariate-adjusted analyses; and 3) conduct subgroup analyses. Many factors characterize economic well-being, however, and analysts often generate summary measures such as indices of household socio-economic status or wealth. In this paper, a household wealth index is developed and tested for participants in the cluster-randomized Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial in rural Zimbabwe. Building on the approach used in the Zimbabwe Demographic and Health Survey (ZDHS), we combined a set of housing characteristics, ownership of assets and agricultural resources into a wealth index using principal component analysis (PCA) on binary variables. The index was assessed for internal and external validity. Its sensitivity was examined considering an expanded set of variables and an alternative statistical approach of polychoric PCA. Correlation between indices was determined using the Spearman's rank correlation coefficient and agreement between quintiles using a linear weighted Kappa statistic. Using the 2015 ZDHS data, we constructed a separate index and applied the loadings resulting from that analysis to the SHINE study population, to compare the wealth distribution in the SHINE study with rural Zimbabwe. The derived indices using the different methods were highly correlated (r>0.9), and the wealth quintiles derived from the different indices had substantial to near perfect agreement (linear weighted Kappa>0.7). The indices were strongly associated with a range of assets and other wealth measures, indicating both internal and external validity. Households in SHINE were modestly wealthier than the overall population of households in rural Zimbabwe. The SHINE wealth index developed here is a valid and robust measure of wealth in the sample.
doi_str_mv 10.1371/journal.pone.0199393
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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chasekwa, Bernard</au><au>Maluccio, John A</au><au>Ntozini, Robert</au><au>Moulton, Lawrence H</au><au>Wu, Fan</au><au>Smith, Laura E</au><au>Matare, Cynthia R</au><au>Stoltzfus, Rebecca J</au><au>Mbuya, Mduduzi N N</au><au>Tielsch, James M</au><au>Martin, Stephanie L</au><au>Jones, Andrew D</au><au>Humphrey, Jean H</au><au>Fielding, Katherine</au><au>Wieringa, Frank</au><aucorp>SHINE Trial Team</aucorp><aucorp>the SHINE Trial Team</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-06-28</date><risdate>2018</risdate><volume>13</volume><issue>6</issue><spage>e0199393</spage><pages>e0199393-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Poverty and human capital development are inextricably linked and therefore research on human capital typically incorporates measures of economic well-being. In the context of randomized trials of health interventions, for example, such measures are used to: 1) assess baseline balance; 2) estimate covariate-adjusted analyses; and 3) conduct subgroup analyses. Many factors characterize economic well-being, however, and analysts often generate summary measures such as indices of household socio-economic status or wealth. In this paper, a household wealth index is developed and tested for participants in the cluster-randomized Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial in rural Zimbabwe. Building on the approach used in the Zimbabwe Demographic and Health Survey (ZDHS), we combined a set of housing characteristics, ownership of assets and agricultural resources into a wealth index using principal component analysis (PCA) on binary variables. The index was assessed for internal and external validity. Its sensitivity was examined considering an expanded set of variables and an alternative statistical approach of polychoric PCA. Correlation between indices was determined using the Spearman's rank correlation coefficient and agreement between quintiles using a linear weighted Kappa statistic. Using the 2015 ZDHS data, we constructed a separate index and applied the loadings resulting from that analysis to the SHINE study population, to compare the wealth distribution in the SHINE study with rural Zimbabwe. The derived indices using the different methods were highly correlated (r&gt;0.9), and the wealth quintiles derived from the different indices had substantial to near perfect agreement (linear weighted Kappa&gt;0.7). The indices were strongly associated with a range of assets and other wealth measures, indicating both internal and external validity. Households in SHINE were modestly wealthier than the overall population of households in rural Zimbabwe. The SHINE wealth index developed here is a valid and robust measure of wealth in the sample.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29953495</pmid><doi>10.1371/journal.pone.0199393</doi><orcidid>https://orcid.org/0000-0002-8543-2835</orcidid><orcidid>https://orcid.org/0000-0001-8080-7573</orcidid><oa>free_for_read</oa></addata></record>
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subjects Agricultural economics
Agricultural resources
Biology and Life Sciences
Childrens health
Construction methods
Correlation
Correlation coefficient
Correlation coefficients
Data analysis
Demographics
Distribution of wealth
Earth Sciences
Economic analysis
Economic indicators
Economic Status
Economics
Epidemiology
Expenditures
Health aspects
Health promotion
Households
Housing
Human capital
Human nutrition
Humans
Hygiene
Infant nutrition
Infants
Low income groups
Maternal & child health
Medical research
Medicine and Health Sciences
Nutrition
People and Places
Physical Sciences
Population
Population (statistical)
Population studies
Poverty
Principal Component Analysis
Principal components analysis
Public health
Public health administration
Randomization
Research and Analysis Methods
Rural areas
Rural communities
Rural health
Rural Population
Sanitation
Sensitivity analysis
Social Sciences
Socioeconomic Factors
Socioeconomics
Statistical analysis
Studies
Subgroups
Surveys and Questionnaires
Well being
title Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial
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