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Assessing socio-economic profile of U-Reporters: Towards establishing a pool for equity analysis of future crowdsourced surveys
BACKGROUND: Crowdsourcing was recognized as having the potential to collect information rapidly, inexpensively and accurately. U-Report is a mobile empowerment platform that connects young people all over the world to information that will change their lives and influence decisions. Previous studies...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Society of Global Health
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979256/ https://www.ncbi.nlm.nih.gov/pubmed/33791099 http://dx.doi.org/10.7189/jogh.11.09001 |
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author | Powell, James Brooks, Christopher Watanabe, Miku Balaji, Lakshmi N |
author_facet | Powell, James Brooks, Christopher Watanabe, Miku Balaji, Lakshmi N |
author_sort | Powell, James |
collection | PubMed |
description | BACKGROUND: Crowdsourcing was recognized as having the potential to collect information rapidly, inexpensively and accurately. U-Report is a mobile empowerment platform that connects young people all over the world to information that will change their lives and influence decisions. Previous studies of U-Report’s effectiveness highlight strengths in the timeliness, low cost and high credibility for collecting and sending information, however they also highlight areas to improve on concerning data representation. EquityTool has developed a simpler approach to assess the wealth quintiles of respondents based on fewer questions derived from large household surveys such as Multiple Indicators Cluster Surveys (MICS) and Demographic and Health Surveys (DHS). METHODS: The methodology of Equity Tool was adopted to assess the socio-economic profile of U-Reporters (ie, enrolled participants of U-Report) in Bangladesh. The RapidPro flow collected the survey responses and scored them against the DHS national wealth index using the EquityTool methodology. This helped placing each U-Reporter who completed all questions into the appropriate wealth quintile. RESULTS: With 19% of the respondents completing all questions, the respondents fell into all 5 wealth quintiles, with 79% in the top-two quintiles and only 21% in the lower-three resulting in an Equity Index of 53/100 where 100 is completely in line with Bangladesh equity distribution and 1 is the least in line. An equitable random sample of 1828 U-Reporters from among the regular and frequent respondents was subsequently created for future surveys and the sample has an Equity Index of 98/100. CONCLUSIONS: U-Report in Bangladesh does reach the poorest quintiles while the initial recruitment skews to respondents towards better off families. It is possible to create an equitable random sub-sample of respondents from all five wealth quintiles and thus process information and data for future surveys. Moving forward, U-Reporters from the poorly represented quintiles may be incentivized to recruit peers to increase equity and representation. In times of COVID-19, U-Report in combination with the EquityTool has the potential to enhance the quality of crowdsourced data for statistical analysis. |
format | Online Article Text |
id | pubmed-7979256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | International Society of Global Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-79792562021-03-30 Assessing socio-economic profile of U-Reporters: Towards establishing a pool for equity analysis of future crowdsourced surveys Powell, James Brooks, Christopher Watanabe, Miku Balaji, Lakshmi N J Glob Health Research Theme 5: Equitable strategies to save lives BACKGROUND: Crowdsourcing was recognized as having the potential to collect information rapidly, inexpensively and accurately. U-Report is a mobile empowerment platform that connects young people all over the world to information that will change their lives and influence decisions. Previous studies of U-Report’s effectiveness highlight strengths in the timeliness, low cost and high credibility for collecting and sending information, however they also highlight areas to improve on concerning data representation. EquityTool has developed a simpler approach to assess the wealth quintiles of respondents based on fewer questions derived from large household surveys such as Multiple Indicators Cluster Surveys (MICS) and Demographic and Health Surveys (DHS). METHODS: The methodology of Equity Tool was adopted to assess the socio-economic profile of U-Reporters (ie, enrolled participants of U-Report) in Bangladesh. The RapidPro flow collected the survey responses and scored them against the DHS national wealth index using the EquityTool methodology. This helped placing each U-Reporter who completed all questions into the appropriate wealth quintile. RESULTS: With 19% of the respondents completing all questions, the respondents fell into all 5 wealth quintiles, with 79% in the top-two quintiles and only 21% in the lower-three resulting in an Equity Index of 53/100 where 100 is completely in line with Bangladesh equity distribution and 1 is the least in line. An equitable random sample of 1828 U-Reporters from among the regular and frequent respondents was subsequently created for future surveys and the sample has an Equity Index of 98/100. CONCLUSIONS: U-Report in Bangladesh does reach the poorest quintiles while the initial recruitment skews to respondents towards better off families. It is possible to create an equitable random sub-sample of respondents from all five wealth quintiles and thus process information and data for future surveys. Moving forward, U-Reporters from the poorly represented quintiles may be incentivized to recruit peers to increase equity and representation. In times of COVID-19, U-Report in combination with the EquityTool has the potential to enhance the quality of crowdsourced data for statistical analysis. International Society of Global Health 2021-03-01 /pmc/articles/PMC7979256/ /pubmed/33791099 http://dx.doi.org/10.7189/jogh.11.09001 Text en Copyright © 2021 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Theme 5: Equitable strategies to save lives Powell, James Brooks, Christopher Watanabe, Miku Balaji, Lakshmi N Assessing socio-economic profile of U-Reporters: Towards establishing a pool for equity analysis of future crowdsourced surveys |
title | Assessing socio-economic profile of U-Reporters: Towards establishing a pool for equity analysis of future crowdsourced surveys |
title_full | Assessing socio-economic profile of U-Reporters: Towards establishing a pool for equity analysis of future crowdsourced surveys |
title_fullStr | Assessing socio-economic profile of U-Reporters: Towards establishing a pool for equity analysis of future crowdsourced surveys |
title_full_unstemmed | Assessing socio-economic profile of U-Reporters: Towards establishing a pool for equity analysis of future crowdsourced surveys |
title_short | Assessing socio-economic profile of U-Reporters: Towards establishing a pool for equity analysis of future crowdsourced surveys |
title_sort | assessing socio-economic profile of u-reporters: towards establishing a pool for equity analysis of future crowdsourced surveys |
topic | Research Theme 5: Equitable strategies to save lives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979256/ https://www.ncbi.nlm.nih.gov/pubmed/33791099 http://dx.doi.org/10.7189/jogh.11.09001 |
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