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The influence of interviewers on survey responses among female sex workers in Zambia
BACKGROUND: Interviewers can substantially affect self-reported data. This may be due to random variation in interviewers’ ability to put respondents at ease or in how they frame questions. It may also be due to systematic differences such as social distance between interviewer and respondent (e.g.,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419821/ https://www.ncbi.nlm.nih.gov/pubmed/30876402 http://dx.doi.org/10.1186/s12874-019-0703-2 |
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author | Harling, Guy Chanda, Michael M. Ortblad, Katrina F. Mwale, Magdalene Chongo, Steven Kanchele, Catherine Kamungoma, Nyambe Barresi, Leah G. Bärnighausen, Till Oldenburg, Catherine E. |
author_facet | Harling, Guy Chanda, Michael M. Ortblad, Katrina F. Mwale, Magdalene Chongo, Steven Kanchele, Catherine Kamungoma, Nyambe Barresi, Leah G. Bärnighausen, Till Oldenburg, Catherine E. |
author_sort | Harling, Guy |
collection | PubMed |
description | BACKGROUND: Interviewers can substantially affect self-reported data. This may be due to random variation in interviewers’ ability to put respondents at ease or in how they frame questions. It may also be due to systematic differences such as social distance between interviewer and respondent (e.g., by age, gender, ethnicity) or different perceptions of what interviewers consider socially desirable responses. Exploration of such variation is limited, especially in stigmatized populations. METHODS: We analyzed data from a randomized controlled trial of HIV self-testing amongst 965 female sex workers (FSWs) in Zambian towns. In the trial, 16 interviewers were randomly assigned to respondents. We used hierarchical regression models to examine how interviewers may both affect responses on more and less sensitive topics, and confound associations between key risk factors and HIV self-test use. RESULTS: Model variance (ICC) at the interviewer level was over 15% for most topics. ICC was lower for socio-demographic and cognitively simple questions, and highest for sexual behaviour, substance use, violence and psychosocial wellbeing questions. Respondents reported significantly lower socioeconomic status and more sex-work related violence to female interviewers. Not accounting for interviewer identity in regressions predicting HIV self-test behaviour led to coefficients moving from non-significant to significant. CONCLUSIONS: We found substantial interviewer-level effects for prevalence and associational outcomes among Zambian FSWs, particularly for sensitive questions. Our findings highlight the importance of careful training and response monitoring to minimize inter-interviewer variation, of considering social distance when selecting interviewers and of evaluating whether interviewers are driving key findings in self-reported data. TRIAL REGISTRATION: clinicaltrials.gov NCT02827240. Registered 11 July 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-019-0703-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6419821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64198212019-03-28 The influence of interviewers on survey responses among female sex workers in Zambia Harling, Guy Chanda, Michael M. Ortblad, Katrina F. Mwale, Magdalene Chongo, Steven Kanchele, Catherine Kamungoma, Nyambe Barresi, Leah G. Bärnighausen, Till Oldenburg, Catherine E. BMC Med Res Methodol Research Article BACKGROUND: Interviewers can substantially affect self-reported data. This may be due to random variation in interviewers’ ability to put respondents at ease or in how they frame questions. It may also be due to systematic differences such as social distance between interviewer and respondent (e.g., by age, gender, ethnicity) or different perceptions of what interviewers consider socially desirable responses. Exploration of such variation is limited, especially in stigmatized populations. METHODS: We analyzed data from a randomized controlled trial of HIV self-testing amongst 965 female sex workers (FSWs) in Zambian towns. In the trial, 16 interviewers were randomly assigned to respondents. We used hierarchical regression models to examine how interviewers may both affect responses on more and less sensitive topics, and confound associations between key risk factors and HIV self-test use. RESULTS: Model variance (ICC) at the interviewer level was over 15% for most topics. ICC was lower for socio-demographic and cognitively simple questions, and highest for sexual behaviour, substance use, violence and psychosocial wellbeing questions. Respondents reported significantly lower socioeconomic status and more sex-work related violence to female interviewers. Not accounting for interviewer identity in regressions predicting HIV self-test behaviour led to coefficients moving from non-significant to significant. CONCLUSIONS: We found substantial interviewer-level effects for prevalence and associational outcomes among Zambian FSWs, particularly for sensitive questions. Our findings highlight the importance of careful training and response monitoring to minimize inter-interviewer variation, of considering social distance when selecting interviewers and of evaluating whether interviewers are driving key findings in self-reported data. TRIAL REGISTRATION: clinicaltrials.gov NCT02827240. Registered 11 July 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-019-0703-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-15 /pmc/articles/PMC6419821/ /pubmed/30876402 http://dx.doi.org/10.1186/s12874-019-0703-2 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 Article Harling, Guy Chanda, Michael M. Ortblad, Katrina F. Mwale, Magdalene Chongo, Steven Kanchele, Catherine Kamungoma, Nyambe Barresi, Leah G. Bärnighausen, Till Oldenburg, Catherine E. The influence of interviewers on survey responses among female sex workers in Zambia |
title | The influence of interviewers on survey responses among female sex workers in Zambia |
title_full | The influence of interviewers on survey responses among female sex workers in Zambia |
title_fullStr | The influence of interviewers on survey responses among female sex workers in Zambia |
title_full_unstemmed | The influence of interviewers on survey responses among female sex workers in Zambia |
title_short | The influence of interviewers on survey responses among female sex workers in Zambia |
title_sort | influence of interviewers on survey responses among female sex workers in zambia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419821/ https://www.ncbi.nlm.nih.gov/pubmed/30876402 http://dx.doi.org/10.1186/s12874-019-0703-2 |
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