Evidence map›Paper›PMID 42534226›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2026

Impact of hemo-alert program on appropriate antimicrobial therapy in hospitalized patients with bacteremia: a quasi-experimental study.

Siwakan Phuetphaichit, Surangkana Samanloh, Witchuda Kamolvit, Pinyo Rattanaumpawan

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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0cells of the map it votes in
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

4 authors.

Siwakan PhuetphaichitDepartment of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Surangkana SamanlohClinical Trial Unit, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Witchuda KamolvitDepartment of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-9135-6883
Pinyo RattanaumpawanDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-2964-6732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate the impact of the HemoAlert program-a notification system providing pathogen identification and antimicrobial susceptibility results-on the time to initiation of appropriate antimicrobial therapy in patients with bacteremia. Design: Pre-post-quasi-experimental study. Setting: Siriraj Hospital, the largest tertiary care hospital in Bangkok, Thailand. Patients: Adult hospitalized patients with at least one positive blood culture between December 2021-February 2022. Methods: A quasi-experimental study was conducted to assess the impact of the HemoAlert program, which delivered SMS notifications of final microbiology results to the responsible physician and updated the patient's medical record. The primary outcome was the time to appropriate antimicrobial therapy. Secondary outcomes included appropriateness of antimicrobial therapy at 72 and 120 hours, favorable clinical outcome, 28-day mortality, and length of hospital stay. Results: A total of 150 patients were included in both periods. Demographics and pathogen distribution were similar between groups. The most common pathogens were Conclusion: The HemoAlert program improved the timeliness and appropriateness of antimicrobial therapy and enhanced clinical response in patients with bacteremia, supporting the utility of simple notification systems in optimizing management.

Identifiers

PMID42534226
PMCPMC13419442

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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.