Evidence map›Paper›PMID 36188022›Full record

Observational studyBulletin of the World Health Organization2022

Digitalization of routine health information systems: Bangladesh, Indonesia, Pakistan.

Tigest Tamrat, Subhash Chandir, Kelsey Alland, Alisa Pedrana, Mubarak Taighoon Shah, Carolyn Footitt, Jennifer Snyder, Natschja Ratanaprayul, Danya Arif Siddiqi, Numera Nazneen and 10 more

Abstract readObservational Study
In one paragraph

Observational study in Bulletin of the World Health Organization, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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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

20 authors.

Tigest TamratUNDP/UNFPA/UNICEF/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Avenue Appia 20, 1211 Geneva 27, Switzerland.
Subhash ChandirIRD Global, Singapore, Singapore.
Kelsey AllandDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America (USA).
Alisa PedranaSummit Institute for Development, Mataram, Indonesia.
Mubarak Taighoon ShahInteractive Research and Development Karachi, Pakistan.
Carolyn FootittOna, Nairobi, Kenya.
Jennifer SnyderJhpiego, Baltimore, USA.
Natschja RatanaprayulDepartment of Digital Health and Innovations, World Health Organization, Geneva, Switzerland.
Danya Arif SiddiqiIRD Global, Singapore, Singapore.
Numera NazneenmPower Social Enterprises Ltd., Dhaka, Bangladesh.
Inraini Fitria SyahSummit Institute for Development, Mataram, Indonesia.
Roger WongOna, Nairobi, Kenya.
Peter Lubell-DoughtieOna, Nairobi, Kenya.
Annisa Dwi UtamiSummit Institute for Development, Mataram, Indonesia.
Khaerul AnwarInstitute for Health Worker Training of West Nusa Tenggara Province, Mataram, Indonesia.
Hasmot AliJiVitA Maternal and Child Health & Nutrition Research Project, Rangpur, Bangladesh.
Alain B LabriqueDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America (USA).
Lale SayUNDP/UNFPA/UNICEF/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Avenue Appia 20, 1211 Geneva 27, Switzerland.
Anuraj H ShankarOxford University Clinical Research Unit-Indonesia, University of Oxford, Oxford, England.
Garrett Livingston MehlDepartment of Digital Health and Innovations, World Health Organization, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Objective: To describe a systematic process of transforming paper registers into a digital system optimized to enhance service provision and fulfil reporting requirements. Methods: We designed a formative study around primary health workers providing reproductive, maternal, newborn and child health services in three countries in Bangladesh, Indonesia and Pakistan. The study ran from November 2014 to June 2018. We developed a prototype digital application after conducting a needs assessment of health workers' responsibilities, workflows, routine data requirements and service delivery needs. Methods included desk reviews, focus group discussions, in-depth interviews; data mapping of paper registers; observations of health workers; co-design workshops with health workers; and usability testing. Finally, we conducted an observational feasibility assessment to monitor uptake of the application. Findings: Researchers reviewed a total of 17 paper registers across the sites, which we transformed into seven modules within a digital application running on mobile devices. Modules corresponded to the services provided, including household enumeration, antenatal care, family planning, immunization, nutrition and child health. A total of 65 health workers used the modules during the feasibility assessment, and average weekly form submissions ranged from 8 to 234, depending on the health worker and their responsibilities. We also observed variability in the use of modules, requiring consistent monitoring support for health workers. Conclusion: Lessons learnt from this study shaped key global initiatives and resulted in a software global good. The deployment of digital systems requires well-designed applications, change management and strengthening human resources to realize and sustain health system gains.

Indexed as

Health Information SystemsBangladeshChildFamily Planning ServicesFemaleHumansIndonesiaInfant, NewbornPakistanPregnancy

Identifiers

PMID36188022
PMCPMC9511663

What OpenQuestion holds

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LicenceCC BY
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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.