Evidence map›Paper›PMID 33557855›Full record

ArticlePopulation health metrics2021

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

Sanne M Thysen, Charlotte Tawiah, Hannah Blencowe, Grace Manu, Joseph Akuze, M Moinuddin Haider, Nurul Alam, Temesgen Azemeraw Yitayew, Angela Baschieri, Gashaw A Biks and 8 more

Open access · goldAbstract read
In one paragraph

Article in Population health metrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 7 countries.

Sanne M Thysen *Bandim Health Project, Bissau, Guinea-Bissau. s.thysen@bandim.org.
Charlotte Tawiah *Kintampo Health Research Centre, Kintampo, Ghana.
Hannah BlencoweMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Grace ManuKintampo Health Research Centre, Kintampo, Ghana.
Joseph AkuzeMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
M Moinuddin HaiderHealth Systems and Population Studies Division, icddr,b, Dhaka, Bangladesh.
Nurul AlamHealth Systems and Population Studies Division, icddr,b, Dhaka, Bangladesh.
Temesgen Azemeraw YitayewDabat Research Centre Health and Demographic Surveillance System, Dabat, Ethiopia.
Angela BaschieriMaternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Gashaw A BiksDabat Research Centre Health and Demographic Surveillance System, Dabat, Ethiopia.
Francis DzabengKintampo Health Research Centre, Kintampo, Ghana.
Ane B FiskerBandim Health Project, Bissau, Guinea-Bissau.
Md Ali ImamHealth Systems and Population Studies Division, icddr,b, Dhaka, Bangladesh.
Justiniano S D MartinsBandim Health Project, Bissau, Guinea-Bissau.
Davis NatukwatsaIgangaMayuge Health and Demographic Surveillance System, Makerere University Centre for Health and Population Research, Makerere, Uganda.
Joy E Lawn *Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Vladimir Sergeevich Gordeev *Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK.
Every Newborn-INDEPTH Study Collaborative Group
London School of Hygiene & Tropical Medicine · GBBandim Health Project · GWInternational Centre for Diarrhoeal Disease Research · BDStatens Serum Institut · DKKintampo Health Research Centre · GHQueen Mary University of London · GBUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Data AccuracyElectronicsHumansInfant, NewbornSurveys and QuestionnairesData collection applicationDHSElectronic data collectionField experiencesHousehold surveys

Identifiers

PMID33557855
PMCPMC7869201
OpenAlexW3128095876

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.