TY - JOUR
T1 - Do household asset wealth measurements depend on who is surveyed? Asset reporting concordance within multi-adult households in rural Uganda
AU - Smith, Meghan L.
AU - Kakuhikire, Bernard
AU - Baguma, Charles
AU - Rasmussen, Justin D.
AU - Bangsberg, David R.
AU - Tsai, Alexander C.
N1 - Funding Information:
thank Roger Hofmann of West Portal Software Corporation (San Francisco, Calif.), for developing and customizing the Computer Assisted Survey Information Collection Builder(TM) software program used for survey administration. Ethics: Ethical approval for this study was received from the Partners Human Research Committee at Massachusetts General Hospital and the Research Ethics Committee at Mbarara University of Science and Technology. Consistent with national guidelines, we also obtained clearance for the study from the Uganda National Council for Science and Technology, and the Research Secretariat in the Office of the President. Funding: This study was funded by Friends of a Healthy Uganda and the US National Institutes of Health (NIH) R01MH113494. The funders had no role in study design; data collection, analysis, or interpretation; preparation of the manuscript; or decision to submit the manuscript for publication. Authorship contributions: MLS, BK, DRB, and ACT conceived of the study design and data collection. BK, CB, JDR, and ACT oversaw data collection. MLS, JDR, and ACT conducted all data analyses. MLS prepared the initial draft of the manuscript. All authors reviewed manuscript drafts, provided editing for important intellectual content, have approved of the final manuscript, and agree to be accountable for all aspects of the work.
Funding Information:
This study was funded by Friends of a Healthy Uganda and the US National Institutes of Health (NIH) R01MH113494. The funders had no role in study design; data collection, analysis, or interpretation; preparation of the manuscript; or decision to submit the manuscript for publication. We thank the HopeNet cohort study participants, without whom this research would not be possible. In addition to the named study authors, HopeNet Study team members who contributed to data collection and/or study administration during all or any part of the study were as follows: Phionah Ahereza, Owen Alleluya, Gwendoline Atuhiere, Patience Ayebare, Dickson Beinomugisha, Bridget Burns, Augustine Byamugisha, Patrick Gumisiriza, Clare Kamagara, Justus Kananura, Noel Kansiime, Allen Kiconco, Viola Kyokunda, Patrick Lukwago, Moran Owembabazi, Amy Q. McDonough, Juliet Mercy, Elijah Musinguzi, Elizabeth Betty Namara, Immaculate Ninsiima, Mellon Tayebwa, Specioza Twinamasiko, and Dagmar Vo?echovsk?. We also thank Roger Hofmann of West Portal Software Corporation (San Francisco, Calif.), for developing and customizing the Computer Assisted Survey Information Collection Builder(TM) software program used for survey administration.
Publisher Copyright:
© 2020 The Author(s).
PY - 2020/6/1
Y1 - 2020/6/1
N2 - Background In resource-limited settings, the Filmer & Pritchett asset index is frequently used to measure household economic status. Little is known about how its validity is affected by differential reporting or recall within households. Methods As part of a whole-population survey in a rural region of southwestern Uganda, we elicited household asset information from married dyads (404 men and 404 matched women) residing within the same households. We assessed the extent to which the asset index yielded differing measures of relative household wealth, depending on whether the husband's or wife's survey data were used in its calculation. To estimate agreement, we used Cohen's κ for binary and categorical variables, and Cronbach's α for continuous variables. We also assessed the extent to which asset wealth quintiles assigned based on husbands' vs wives' reporting were concordant, and whether discordance was related to demographic characteristics. Results For most individual assets, agreement ranged from moderate to very good. Asset index scores based on husbands' vs wives' reporting were positively correlated (Pearson r = 0.85). Corresponding wealth quintiles were moderately concordant (weighted κ = 0.65); 171 households (43%) differed by one or more quintiles when the husbands' vs wives' reporting was used, and 43 (11%) differed by two or more quintiles. Concordance in asset wealth quintile could not be explained by joint educational attainment, age, or age difference. Conclusions There is significant intra-household variability in household asset reporting that can materially affect how households are classified on a widely used measure of relative household asset wealth.
AB - Background In resource-limited settings, the Filmer & Pritchett asset index is frequently used to measure household economic status. Little is known about how its validity is affected by differential reporting or recall within households. Methods As part of a whole-population survey in a rural region of southwestern Uganda, we elicited household asset information from married dyads (404 men and 404 matched women) residing within the same households. We assessed the extent to which the asset index yielded differing measures of relative household wealth, depending on whether the husband's or wife's survey data were used in its calculation. To estimate agreement, we used Cohen's κ for binary and categorical variables, and Cronbach's α for continuous variables. We also assessed the extent to which asset wealth quintiles assigned based on husbands' vs wives' reporting were concordant, and whether discordance was related to demographic characteristics. Results For most individual assets, agreement ranged from moderate to very good. Asset index scores based on husbands' vs wives' reporting were positively correlated (Pearson r = 0.85). Corresponding wealth quintiles were moderately concordant (weighted κ = 0.65); 171 households (43%) differed by one or more quintiles when the husbands' vs wives' reporting was used, and 43 (11%) differed by two or more quintiles. Concordance in asset wealth quintile could not be explained by joint educational attainment, age, or age difference. Conclusions There is significant intra-household variability in household asset reporting that can materially affect how households are classified on a widely used measure of relative household asset wealth.
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U2 - 10.7189/jogh.10.010412
DO - 10.7189/jogh.10.010412
M3 - Article
C2 - 32373331
AN - SCOPUS:85084328855
SN - 2047-2978
VL - 10
JO - Journal of Global Health
JF - Journal of Global Health
IS - 1
M1 - 010412
ER -