Abstract

BackgroundElectronic 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.MethodsWe 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.ResultsFive 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.ConclusionWe 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.

Highlights

  • Electronic data collection is increasingly used for household surveys, but factors influencing design and implementation have not been widely studied

  • Study setting The EN-INDEPTH study was undertaken in five INDEPTH health and demographic surveillance system (HDSS) sites: Bandim in Guinea-Bissau, Dabat in Ethiopia, IgangaMayuge in Uganda, Matlab in Bangladesh and Kintampo in Ghana, supported by a joint team from Makerere University School of Public Health (MakSPH) and the London School of Hygiene & Tropical Medicine (LSHTM)

  • Step 1: selecting an electronic data collection platform for a population-based survey During the planning stage of the EN-INDEPTH study, an assessment of the previous data collection experience of the five HDSS sites was undertaken to inform the choice of data collection hardware and software

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Summary

Introduction

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 multisite survey using electronic data collection in five INDEPTH health and demographic surveillance system sites. More than two-thirds of the world’s births are in countries where household surveys are the main data source for health outcomes and coverage of care. The most widely used nationally representative surveys are Demographic

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