Evidence map›Paper›PMID 42048494›Full record

ArticleJMIR research protocols2026

The Role of Electronic Medical Record Systems and Pharmacovigilance Databases in the Surveillance of Antimicrobial Use and Resistance in Low- and Middle-Income Countries: Protocol for a Multistudy Project.

Hager Saleh, Cecilia Stålsby Lundborg, Megha Sharma

Abstract read
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Hager Saleh *Department of Global Public Health, Karolinska Institutet, Tomtebodavägen 18 A, Stockholm, 17177, Sweden.ORCID 0000-0002-6688-0907
Cecilia Stålsby LundborgDepartment of Global Public Health, Karolinska Institutet, Tomtebodavägen 18 A, Stockholm, 17177, Sweden.ORCID 0000-0001-6525-1861
Megha Sharma *Department of Global Public Health, Karolinska Institutet, Tomtebodavägen 18 A, Stockholm, 17177, Sweden.ORCID 0000-0001-9165-9393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Addressing antimicrobial resistance (AMR) requires proactive and innovative approaches in the digital world. The absence of comprehensive AMR data in low- and middle-income countries (LMICs) emphasizes the need for enhanced surveillance systems. Objective: This project aims to assess the implications of using digital tools, specifically electronic medical record (EMR) systems and pharmacovigilance (PV) databases (ie, VigiBase), as additional sources for the surveillance of antibiotic use and resistance patterns in LMICs. Methods: The project comprises 5 interconnected studies. Study 1 is a mixed methods study conducted in 3 private-sector tertiary hospitals in India. Data collection includes questionnaires and semistructured interviews with health care professionals and administrative staff. Quantitative data will be analyzed using descriptive statistics and qualitative data using reflexive thematic analysis. Study 2 is a retrospective cross-sectional study descriptively analyzing antibiotic-related individual case safety reports from LMICs submitted to VigiBase. Study 3 is a cross-sectional survey assessing health care professionals' knowledge, attitudes, practices, and perceived barriers regarding antibiotic-related adverse drug reaction reporting in India. Studies 4 and 5 are systematic reviews examining (1) digital interventions for antimicrobial surveillance and appropriate prescribing, and (2) the use of PV databases for AMR surveillance. Searches will be conducted in PubMed, MEDLINE (Ovid), Embase, CINAHL, and Web of Science. Eligibility criteria include studies evaluating digital tools or PV databases in relation to antibiotic use or resistance. Two independent reviewers will perform screening and data extraction. Findings will be synthesized narratively and categorized by intervention type and reported outcomes. Results: The findings of study 1, phase 1, were published in May 2025. Phase 2 survey data collection reached 400 participants as of March 2026, and phase 3 included 36 interviews with health care professionals conducted in July and August 2024. For study 2, data were extracted from VigiBase in January 2025; analysis was completed and submitted for publication in December 2025. For study 4, article extraction was completed in December 2024, and title and abstract screening is ongoing as of December 2025. Full-text screening is scheduled to take place starting in May 2026. Data collection for study 3 is scheduled between October 2026 and May 2027. Study 5 is scheduled for 2026 and 2027. The project received funding in 2021 from the Research Council of Norway (project 325985) and the Swedish Research Council (project 2021-00889). Conclusions: Digital tools such as EMR systems and PV databases can play a crucial role in collecting more information about antibiotic use and AMR. This project emphasizes the importance of multidimensional solutions and explores the use of PV and EMRs in LMICs for effective AMR surveillance. Leveraging these digital systems offers an opportunity to enhance knowledge and strengthen efforts in the fight against AMR.

Indexed as

Electronic Health RecordsPharmacovigilanceAnti-Bacterial AgentsCross-Sectional StudiesDatabases, FactualDeveloping CountriesDigital HealthHumansIndiaResearch DesignRetrospective StudiesSurveys and QuestionnairesAnti-Bacterial Agentsadverse drug reactionsAMR surveillanceantibiotic resistanceantibiotic resistance surveillanceantimicrobial resistanceantimicrobial resistance surveillancedigital healthdigital interventionelectronic medical recordslow- and middle-income countriespharmacovigilanceVigiBase

Identifiers

PMID42048494
PMCPMC13123752

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Registered trials

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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.