Evidence map›Paper›PMID 38806021›Full record

ArticleThe American journal of tropical medicine and hygiene2024

Automating the Generation of Notifiable Bacterial Disease Reports: Proof-of-Concept Study and Implementation in Six Hospitals in Thailand.

Cherry Lim, Preeyarach Klaytong, Viriya Hantrakun, Chalida Rangsiwutisak, Chadaporn Phiancharoen, Ratanaporn Tangwangvivat, Somkid Kripattanapong, Charuttaporn Jitpeera, Wiratya Poldech, Punya Jiramahasan and 13 more

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

23 authors.

Cherry LimMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Preeyarach KlaytongMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Viriya HantrakunMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Chalida RangsiwutisakMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Chadaporn PhiancharoenDivision of Communicable Diseases, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Ratanaporn TangwangvivatDivision of Communicable Diseases, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Somkid KripattanapongDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Charuttaporn JitpeeraDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Wiratya PoldechAmnatcharoen Hospital, Amnatcharoen, Thailand.
Punya JiramahasanKantharalak Hospital, Srisaket, Thailand.
Bangon LaosatiankitSrisaket Provincial Health Office, Srisaket, Thailand.
Orawan PhotivetMukdahan Hospital, Mukdahan, Thailand.
Punchawee SukbutMukdahan Hospital, Mukdahan, Thailand.
Warintorn ThongsriMukdahan Hospital, Mukdahan, Thailand.
Kailas KosasaengNakhon Phanom Hospital, Nakhon Phanom, Thailand.
Bongkoch ChiwehanyonPhatthalung Hospital, Phattalung, Thailand.
Nutjamee LeesahudPhatthalung Hospital, Phattalung, Thailand.
Preecha RitthongPhatthalung Hospital, Phattalung, Thailand.
Wandee LinreungPhatthalung Hospital, Phattalung, Thailand.
Panatda AramrueangSunpasitthiprasong Hospital, Ubon Ratchathani, Thailand.
Wichan BhunyakitikornDivision of Communicable Diseases, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Sopon IamsirithawornDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Direk LimmathurotsakulMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information on notifiable bacterial diseases (NBD) in low- and middle-income countries (LMICs) is frequently incomplete. We developed the AutoMated tool for the Antimicrobial resistance Surveillance System plus (AMASSplus), which can support hospitals to analyze their microbiology and hospital data files automatically (in CSV or Excel format) and promptly generate antimicrobial resistance surveillance and NBD reports (in PDF and CSV formats). The NBD reports included the total number of cases and deaths after Brucella spp., Burkholderia pseudomallei, Corynebacterium diphtheriae, Neisseria gonorrhoeae, Neisseria meningitidis, nontyphoidal Salmonella spp., Salmonella enterica serovar Paratyphi, Salmonella enterica serovar Typhi, Shigella spp., Streptococcus suis, and Vibrio spp. infections. We tested the tool in six hospitals in Thailand in 2022. The total number of deaths identified by the AMASSplus was higher than those reported to the national notifiable disease surveillance system (NNDSS); particularly for B. pseudomallei infection (134 versus 2 deaths). This tool could support the NNDSS in LMICs.

Indexed as

Bacterial InfectionsHospitalsAnti-Bacterial AgentsDisease NotificationDrug Resistance, BacterialHumansPopulation SurveillanceThailandAnti-Bacterial Agents

Identifiers

PMID38806021
PMCPMC11229635

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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.