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Electronic data collection in a multi-site population-based survey: EN-INDEPTH study

BACKGROUND: Electronic data collection is increasingly used for household surveys, but factors influencing design and implementation have not been widely studied. The Every Newborn-INDEPTH (EN-INDEPTH) study was a multi-site survey using electronic data collection in five INDEPTH health and demograp...

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Autores principales: Thysen, Sanne M., Tawiah, Charlotte, Blencowe, Hannah, Manu, Grace, Akuze, Joseph, Haider, M. Moinuddin, Alam, Nurul, Yitayew, Temesgen Azemeraw, Baschieri, Angela, Biks, Gashaw A., Dzabeng, Francis, Fisker, Ane B., Imam, Md. Ali, Martins, Justiniano S. D., Natukwatsa, Davis, Lawn, Joy E., Gordeev, Vladimir Sergeevich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869201/
https://www.ncbi.nlm.nih.gov/pubmed/33557855
http://dx.doi.org/10.1186/s12963-020-00226-z
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author Thysen, Sanne M.
Tawiah, Charlotte
Blencowe, Hannah
Manu, Grace
Akuze, Joseph
Haider, M. Moinuddin
Alam, Nurul
Yitayew, Temesgen Azemeraw
Baschieri, Angela
Biks, Gashaw A.
Dzabeng, Francis
Fisker, Ane B.
Imam, Md. Ali
Martins, Justiniano S. D.
Natukwatsa, Davis
Lawn, Joy E.
Gordeev, Vladimir Sergeevich
author_facet Thysen, Sanne M.
Tawiah, Charlotte
Blencowe, Hannah
Manu, Grace
Akuze, Joseph
Haider, M. Moinuddin
Alam, Nurul
Yitayew, Temesgen Azemeraw
Baschieri, Angela
Biks, Gashaw A.
Dzabeng, Francis
Fisker, Ane B.
Imam, Md. Ali
Martins, Justiniano S. D.
Natukwatsa, Davis
Lawn, Joy E.
Gordeev, Vladimir Sergeevich
author_sort Thysen, Sanne M.
collection PubMed
description BACKGROUND: Electronic data collection is increasingly used for household surveys, but factors influencing design and implementation have not been widely studied. The Every Newborn-INDEPTH (EN-INDEPTH) study was a multi-site survey using electronic data collection in five INDEPTH health and demographic surveillance system sites. METHODS: We described experiences and learning involved in the design and implementation of the EN-INDEPTH survey, and undertook six focus group discussions with field and research team to explore their experiences. Thematic analyses were conducted in NVivo12 using an iterative process guided by a priori themes. RESULTS: Five steps of the process of selecting, adapting and implementing electronic data collection in the EN-INDEPTH study are described. Firstly, we reviewed possible electronic data collection platforms, and selected the World Bank’s Survey Solutions® as the most suited for the EN-INDEPTH study. Secondly, the survey questionnaire was coded and translated into local languages, and further context-specific adaptations were made. Thirdly, data collectors were selected and trained using standardised manual. Training varied between 4.5 and 10 days. Fourthly, instruments were piloted in the field and the questionnaires finalised. During data collection, data collectors appreciated the built-in skip patterns and error messages. Internet connection unreliability was a challenge, especially for data synchronisation. For the fifth and final step, data management and analyses, it was considered that data quality was higher and less time was spent on data cleaning. The possibility to use paradata to analyse survey timing and corrections was valued. Synchronisation and data transfer should be given special consideration. CONCLUSION: We synthesised experiences using electronic data collection in a multi-site household survey, including perceived advantages and challenges. Our recommendations for others considering electronic data collection include ensuring adaptations of tools to local context, piloting/refining the questionnaire in one site first, buying power banks to mitigate against power interruption and paying attention to issues such as GPS tracking and synchronisation, particularly in settings with poor internet connectivity.
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spelling pubmed-78692012021-02-08 Electronic data collection in a multi-site population-based survey: EN-INDEPTH study Thysen, Sanne M. Tawiah, Charlotte Blencowe, Hannah Manu, Grace Akuze, Joseph Haider, M. Moinuddin Alam, Nurul Yitayew, Temesgen Azemeraw Baschieri, Angela Biks, Gashaw A. Dzabeng, Francis Fisker, Ane B. Imam, Md. Ali Martins, Justiniano S. D. Natukwatsa, Davis Lawn, Joy E. Gordeev, Vladimir Sergeevich Popul Health Metr Research BACKGROUND: Electronic data collection is increasingly used for household surveys, but factors influencing design and implementation have not been widely studied. The Every Newborn-INDEPTH (EN-INDEPTH) study was a multi-site survey using electronic data collection in five INDEPTH health and demographic surveillance system sites. METHODS: We described experiences and learning involved in the design and implementation of the EN-INDEPTH survey, and undertook six focus group discussions with field and research team to explore their experiences. Thematic analyses were conducted in NVivo12 using an iterative process guided by a priori themes. RESULTS: Five steps of the process of selecting, adapting and implementing electronic data collection in the EN-INDEPTH study are described. Firstly, we reviewed possible electronic data collection platforms, and selected the World Bank’s Survey Solutions® as the most suited for the EN-INDEPTH study. Secondly, the survey questionnaire was coded and translated into local languages, and further context-specific adaptations were made. Thirdly, data collectors were selected and trained using standardised manual. Training varied between 4.5 and 10 days. Fourthly, instruments were piloted in the field and the questionnaires finalised. During data collection, data collectors appreciated the built-in skip patterns and error messages. Internet connection unreliability was a challenge, especially for data synchronisation. For the fifth and final step, data management and analyses, it was considered that data quality was higher and less time was spent on data cleaning. The possibility to use paradata to analyse survey timing and corrections was valued. Synchronisation and data transfer should be given special consideration. CONCLUSION: We synthesised experiences using electronic data collection in a multi-site household survey, including perceived advantages and challenges. Our recommendations for others considering electronic data collection include ensuring adaptations of tools to local context, piloting/refining the questionnaire in one site first, buying power banks to mitigate against power interruption and paying attention to issues such as GPS tracking and synchronisation, particularly in settings with poor internet connectivity. BioMed Central 2021-02-08 /pmc/articles/PMC7869201/ /pubmed/33557855 http://dx.doi.org/10.1186/s12963-020-00226-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Thysen, Sanne M.
Tawiah, Charlotte
Blencowe, Hannah
Manu, Grace
Akuze, Joseph
Haider, M. Moinuddin
Alam, Nurul
Yitayew, Temesgen Azemeraw
Baschieri, Angela
Biks, Gashaw A.
Dzabeng, Francis
Fisker, Ane B.
Imam, Md. Ali
Martins, Justiniano S. D.
Natukwatsa, Davis
Lawn, Joy E.
Gordeev, Vladimir Sergeevich
Electronic data collection in a multi-site population-based survey: EN-INDEPTH study
title Electronic data collection in a multi-site population-based survey: EN-INDEPTH study
title_full Electronic data collection in a multi-site population-based survey: EN-INDEPTH study
title_fullStr Electronic data collection in a multi-site population-based survey: EN-INDEPTH study
title_full_unstemmed Electronic data collection in a multi-site population-based survey: EN-INDEPTH study
title_short Electronic data collection in a multi-site population-based survey: EN-INDEPTH study
title_sort electronic data collection in a multi-site population-based survey: en-indepth study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869201/
https://www.ncbi.nlm.nih.gov/pubmed/33557855
http://dx.doi.org/10.1186/s12963-020-00226-z
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