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Inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias?

BACKGROUND: The presence of insufficient effort responding participants (IERPs) in a survey can produce systematic bias. Validation questions are commonly used to exclude IERPs. Participants were defined as IERPs if responding inconsistently to two matched validation questions, and non-insufficient...

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Autores principales: Lu, Jingjing, Wang, Feng, Wang, Xiaomin, Lin, Leesa, Wang, Weiyi, Li, Lu, Zhou, Xudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704697/
https://www.ncbi.nlm.nih.gov/pubmed/31438952
http://dx.doi.org/10.1186/s12939-019-1030-2
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author Lu, Jingjing
Wang, Feng
Wang, Xiaomin
Lin, Leesa
Wang, Weiyi
Li, Lu
Zhou, Xudong
author_facet Lu, Jingjing
Wang, Feng
Wang, Xiaomin
Lin, Leesa
Wang, Weiyi
Li, Lu
Zhou, Xudong
author_sort Lu, Jingjing
collection PubMed
description BACKGROUND: The presence of insufficient effort responding participants (IERPs) in a survey can produce systematic bias. Validation questions are commonly used to exclude IERPs. Participants were defined as IERPs if responding inconsistently to two matched validation questions, and non-insufficient effort responding participants (non-IERPs) if responding consistently. However, it has not been tested whether validation questions themselves could result in selection bias. METHODS: This study was a cross-sectional survey conducted in Guangxi, China. Participants’ intentions to use antibiotics for their children when they have self-limiting diseases, including sore throat, cold, diarrhea, and fever, were measured. The Chi-square tests were used to compare the socio-economic status (SES) between non-IERPs and IERPs. Logistic regression was adopted to test the association between intentions to misuse antibiotics and groups (non-IERPs, IERPs with high SES, and IERPs with low SES). RESULTS: Data with 3264 non-IERPs and 1543 IERPs were collected. The results showed IERPs had a lower education level (χ2 = 6.100, p = 0.047) and a higher proportion of rural residence (χ2 = 4.750, p = 0.030) compared with non-IERPs. Rural IERPs reported significantly higher rates of intentions to misuse antibiotics when their children have a sore throat (OR = 1.32; 95% CI = 1.11,1.56; p < 0.01), cold (OR = 1.33; 95%CI = 1.13,1.58; p < 0.01), diarrhea (OR = 1.46; 95%CI = 1.20,1.77; p < 0.001), and fever (OR = 1.22; 95% CI = 1.04,1.43; p < 0.05) compared with non-IERPs. IERPs living in urban areas reported significantly lower rates of intentions to use antibiotics when their children have a sore throat (OR = 0.76; 95%CI = 0.62,0.93; p < 0.01) compared with non-IERPs. IERPs with lower levels of education reported significantly higher rates of intentions to use antibiotics when their children have a sore throat (OR = 1.19; 95%CI = 1.02,1.39; p < 0.05), cold (OR = 1.43; 95% CI = 1.23,1.66; p < 0.001), diarrhea (OR = 1.38; 95%CI = 1.15,1.64; p < 0.01), and fever (OR = 1.25; 95% CI = 1.09,1.44; p < 0.01) compared with non-IERPs. IERPs with higher education levels reported significantly lower rates of intentions to use antibiotics when their children have a sore throat (OR = 0.72; 95% CI = 0.56,0.94; p < 0.05), cold (OR = 0.66; 95% CI = 0.51,0.86; p < 0.01), and fever (OR = 0.74; 95% CI = 0.60,0.92; p < 0.01) compared with non-IERPs. IERPs with low-income reported significantly higher rates of intentions to use antibiotics when their children have a cold (OR = 1.36; 95% CI = 1.13,1.64; p < 0.01) and diarrhea (OR = 1.30; 95% CI = 1.05,1.62; p < 0.05) compared with non-IERPs. CONCLUSIONS: Using validation questions to exclude IERPs can result in selection bias in which participants with lower socio-economic standing and poor antibiotic use intentions were disproportionately excluded.
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spelling pubmed-67046972019-08-22 Inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias? Lu, Jingjing Wang, Feng Wang, Xiaomin Lin, Leesa Wang, Weiyi Li, Lu Zhou, Xudong Int J Equity Health Research BACKGROUND: The presence of insufficient effort responding participants (IERPs) in a survey can produce systematic bias. Validation questions are commonly used to exclude IERPs. Participants were defined as IERPs if responding inconsistently to two matched validation questions, and non-insufficient effort responding participants (non-IERPs) if responding consistently. However, it has not been tested whether validation questions themselves could result in selection bias. METHODS: This study was a cross-sectional survey conducted in Guangxi, China. Participants’ intentions to use antibiotics for their children when they have self-limiting diseases, including sore throat, cold, diarrhea, and fever, were measured. The Chi-square tests were used to compare the socio-economic status (SES) between non-IERPs and IERPs. Logistic regression was adopted to test the association between intentions to misuse antibiotics and groups (non-IERPs, IERPs with high SES, and IERPs with low SES). RESULTS: Data with 3264 non-IERPs and 1543 IERPs were collected. The results showed IERPs had a lower education level (χ2 = 6.100, p = 0.047) and a higher proportion of rural residence (χ2 = 4.750, p = 0.030) compared with non-IERPs. Rural IERPs reported significantly higher rates of intentions to misuse antibiotics when their children have a sore throat (OR = 1.32; 95% CI = 1.11,1.56; p < 0.01), cold (OR = 1.33; 95%CI = 1.13,1.58; p < 0.01), diarrhea (OR = 1.46; 95%CI = 1.20,1.77; p < 0.001), and fever (OR = 1.22; 95% CI = 1.04,1.43; p < 0.05) compared with non-IERPs. IERPs living in urban areas reported significantly lower rates of intentions to use antibiotics when their children have a sore throat (OR = 0.76; 95%CI = 0.62,0.93; p < 0.01) compared with non-IERPs. IERPs with lower levels of education reported significantly higher rates of intentions to use antibiotics when their children have a sore throat (OR = 1.19; 95%CI = 1.02,1.39; p < 0.05), cold (OR = 1.43; 95% CI = 1.23,1.66; p < 0.001), diarrhea (OR = 1.38; 95%CI = 1.15,1.64; p < 0.01), and fever (OR = 1.25; 95% CI = 1.09,1.44; p < 0.01) compared with non-IERPs. IERPs with higher education levels reported significantly lower rates of intentions to use antibiotics when their children have a sore throat (OR = 0.72; 95% CI = 0.56,0.94; p < 0.05), cold (OR = 0.66; 95% CI = 0.51,0.86; p < 0.01), and fever (OR = 0.74; 95% CI = 0.60,0.92; p < 0.01) compared with non-IERPs. IERPs with low-income reported significantly higher rates of intentions to use antibiotics when their children have a cold (OR = 1.36; 95% CI = 1.13,1.64; p < 0.01) and diarrhea (OR = 1.30; 95% CI = 1.05,1.62; p < 0.05) compared with non-IERPs. CONCLUSIONS: Using validation questions to exclude IERPs can result in selection bias in which participants with lower socio-economic standing and poor antibiotic use intentions were disproportionately excluded. BioMed Central 2019-08-22 /pmc/articles/PMC6704697/ /pubmed/31438952 http://dx.doi.org/10.1186/s12939-019-1030-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Lu, Jingjing
Wang, Feng
Wang, Xiaomin
Lin, Leesa
Wang, Weiyi
Li, Lu
Zhou, Xudong
Inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias?
title Inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias?
title_full Inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias?
title_fullStr Inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias?
title_full_unstemmed Inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias?
title_short Inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias?
title_sort inequalities in the health survey using validation question to filter insufficient effort responding: reducing overestimated effects or creating selection bias?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704697/
https://www.ncbi.nlm.nih.gov/pubmed/31438952
http://dx.doi.org/10.1186/s12939-019-1030-2
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