Evidence map›Paper›PMID 42375669›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2026

Assessing the impact of antimicrobial stewardship in low-income healthcare settings: a study of antibiotic use and antimicrobial susceptibility patterns in Indian hospitals.

Ulhas Vasave, Amit Paroha

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

2 authors.

Ulhas VasaveAmericares India Foundation, India.ORCID https://orcid.org/0009-0005-0974-3542
Amit ParohaAmericares India Foundation, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The rising incidence of antimicrobial resistance (AMR) underscores the urgent need for effective antimicrobial stewardship (AMS). This study assessed the impact of a tailored AMS initiative in Indian hospitals. Methods: An AMS surveillance program was implemented across 11 Indian hospitals (January 2022-June 2023). The intervention (July 2022-June 2023) included hospital-specific antibiograms, antibiotic policy design and implementation, monitoring antibiotic consumption, and tracking multidrug-resistant organisms (MDROs). Hospital staff were trained, and compliance audits with feedback were conducted. Implementation followed the Model for Improvement methodology over 18 months. Results: AMS surveillance revealed significant improvement in AMS knowledge and practices from the baseline to the postintervention phase. Antibiotic compliance increased from a baseline of 10% to 71% across hospitals, reaching 73%-91% in the subsequent period. Surgical prophylaxis compliance improved substantially, particularly in hospitals with initially low adherence. Optimizations in antibiotic selection, dosing, duration, intravenous-to-oral switching, and de-escalation were also observed, resulting in significant compliance gains across all domains. Use of antibiotics classified by the World Health Organization as safer first-line options with a narrow spectrum increased, while use of second- and third-line antibiotics, including those with broader spectra and higher resistance risks, decreased, reflecting a shift toward safer prescribing practices. However, MDRO incidence rates remained variable across sites, showing room for improvement. Conclusion: Locally tailored AMS interventions within a structured quality improvement framework can establish sustainable practices to mitigate AMR. These findings demonstrate effective strategies for optimizing antibiotic use and provide valuable insights for broader implementation of AMS.

Identifiers

PMID42375669
PMCPMC13312239

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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.