Evidence map›Paper›PMID 39788635›Full record

ArticleGlobal health, science and practice2025

A Novel Approach to Assessing the Potential of Electronic Decision Support Systems to Improve the Quality of Antenatal Care in Nepal.

Biraj Man Karmacharya, Seema Das, Abha Shrestha, Abha Shrestha, Sulata Karki, Rajani Shakya, Emma Radovich, Loveday Penn-Kekana, Clara Calvert, Oona M R Campell and 1 more

Abstract read
In one paragraph

Article in Global health, science and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
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

11 authors.

Biraj Man KarmacharyaDepartment of Public Health and Community Programs, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.
Seema DasResearch and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Dhulikhel, Nepal.
Abha ShresthaDepartment of Obstetrics and Gynecology, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.
Abha ShresthaDepartment of Community Medicine, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.
Sulata KarkiResearch and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Dhulikhel, Nepal.
Rajani ShakyaResearch and Development Division, Dhulikhel Hospital Kathmandu University Hospital, Dhulikhel, Nepal.
Emma RadovichFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Loveday Penn-KekanaFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Clara CalvertUsher Institute, University of Edinburgh, Edinburgh.
Oona M R CampellFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Ona L McCarthyFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom. ona.mccarthy@lshtm.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionElectronic decision-support systems (EDSSs) aim to improve the quality of antenatal care (ANC) through adherence to evidence-based guidelines. We assessed the potential of the mHealth integrated model of hypertension, diabetes, and ANC EDSS and the World Health Organization EDSS to improve the quality of ANC in primary-level health care facilities in Nepal.

methodsFrom December 2021 to January 2023, we conducted a mixed-methods evaluation in 19 primary-level ANC facilities in Bagmati Province, Nepal. Implementation was from March 2022 to August 2022. We conducted a health facility survey, ANC clinical observations, longitudinal case studies and validation workshop, in-depth interviews, monitoring visits, research team debriefing meetings, health care provider attitude survey, and stakeholder engagement and feedback meetings. Results were integrated using concurrent triangulation to develop explanations about the EDSS implementation process and the effects observed.

resultsWe identified 9 themes on implementation challenges that hindered the EDSS from generating the desired improvements to ANC quality. Facility readiness and provider confidence in using the EDSS were mixed. It was not always used or used as intended, and the approach to ANC provision did not change. EDSS inflexibility did not reflect how staff made decisions about pregnant women's needs or ensure that tests were done at the right time. There was mixed evidence that ANC staff believed that the EDSS benefited their work. The EDSS did not become fully integrated into existing health systems. Engagement of essential stakeholders fell short.

conclusionDifferent understandings of and inconsistent use of the EDSS highlighted the need for increased training and support periods, greater stakeholder engagement, and further integration into existing health systems. Our novel approach to integrating findings from multiple substudies offers uniquely valuable insights into the many factors needed for the successful implementation of an EDSS to improve the quality of ANC in Nepal.

Indexed as

Decision Support Systems, ClinicalPrenatal CareQuality ImprovementQuality of Health CareFemaleHumansNepalPregnancyTelemedicine

Identifiers

PMID39788635
PMCPMC12352944

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.