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

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

Abstract

Abstract 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.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Epidemiology

Reference25 articles.

1. Demographic and Health Surveys Program: Search for DHS Program Surveys. 2017. https://dhsprogram.com/What-We-Do/Survey-Search.cfm [Accessed June 2020].

2. Byass P, Hounton S, Ouedraogo M, Some H, Diallo I, Fottrell E, Emmelin A, Meda N. Direct data capture using hand-held computers in rural Burkina Faso: experiences, benefits and lessons learnt. Tropical Med Int Health. 2008;13(Suppl 1):25–30.

3. Skarupova K: Technical report: computer-assisted and online data collection in general population surveys. Eur Monitoring Centre Drugs Drug Addict 2014. http://www.emcdda.europa.eu/system/files/publications/808/Technical_report_Computer_assisted_and_online_data_collection_in_GPS_480810.pdf [Accessed June 2020].

4. Dray S, Dunsh F, Holmlund M. Electronic versus paper-based data collection: reviewing the debate. World Bank Blogs. 2016.

5. Caeyers B, Chalmers N, De Weerdt J. Improving consumption measurement and other survey data through CAPI: evidence from a randomized experiment. J Dev Econ. 2012;98:19–33.

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