Evidence map›Paper›PMID 37502240›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Antibiotic prescribing behavior among physicians in Asia: a multinational survey.

Chonlanan Wiboonchutikula, Hong Bin Kim, Hitoshi Honda, Audrey Yong Xin Loo, Vincent Chi-Chung Cheng, Bernard Camins, Kittiya Jantarathaneewat, Piyaporn Apisarnthanarak, Sasinuch Rutjanawech, Anucha Apisarnthanarak

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Characteristics of PathogenicTropical medicine and infectious disease · 2024
    Article
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

10 authors at 7 institutions in 6 countries.

Chonlanan WiboonchutikulaDivision of Infectious Diseases, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand.
Hong Bin KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
Hitoshi HondaDivision of Infectious Diseases, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.ORCID https://orcid.org/0000-0002-4870-0730
Audrey Yong Xin LooDivision of Pharmacy, Tan Tock Seng Hospital, Singapore.
Vincent Chi-Chung ChengDepartment of Microbiology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Bernard CaminsDivision of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kittiya JantarathaneewatResearch group in Infectious Diseases Epidemiology and Prevention, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand.ORCID https://orcid.org/0000-0001-9428-6131
Piyaporn ApisarnthanarakDivision of Diagnostic Radiology, Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Sasinuch RutjanawechDivision of Infectious Diseases, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand.ORCID https://orcid.org/0000-0002-7776-2957
Anucha ApisarnthanarakDivision of Infectious Diseases, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand.ORCID https://orcid.org/0000-0003-2363-6362
Thammasat University · THFujita Health University · JPIcahn School of Medicine at Mount Sinai · USQueen Mary Hospital · CNSeoul National University Bundang Hospital · KRSiriraj Hospital · THTan Tock Seng Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate antibiotic prescribing behavior (APB) among physicians with various specialties in five Asian countries. Design: Survey of antibiotics prescribing behavior in three stages (initial, on-treatment, and de-escalation stages). Methods: Participants included internists, infectious diseases (ID) specialists, hematologists, intensivists, and surgeons. Participants' characteristics, patterns of APB, and perceptions of antimicrobial stewardship were collected. A multivariate analysis was conducted to evaluate factors associated with appropriate APB. Results: There were 367 participants. The survey response rate was 82.5% (367/445). For the initial stage, different specialties had different choices for empiric treatment. For the on-treatment stage, if the patient does not respond to empiric treatment, most respondents will step up to broader-spectrum antibiotics (273/367: 74.39%). For the de-escalation stage, the rate of de-escalation was 10%-60% depending on the specialty. Most respondents would de-escalate antibiotics based on guidelines (250/367: 68.12%). De-escalation was mostly reported by ID specialists (66/106: 62.26%). Respondents who reported that they performed laboratory investigations prior to empirical antibiotic prescriptions (aOR = 2.83) were associated with appropriate use, while respondents who reported ID consultation were associated with appropriate antibiotic management for infections not responding to empiric treatment (aOR = 40.87); adherence with national guidelines (aOR = 2.57) was associated with reported successful carbapenem de-escalation. Conclusion: This study highlights the variation in practices and gaps in appropriate APB on three stages of antibiotic prescription among different specialties. Education on appropriate investigation, partnership with ID specialist, and availability and adherence with national guidelines are critical to help guide appropriate APB among different specialties.

Identifiers

PMID37502240
PMCPMC10369444
OpenAlexW4382724582

What OpenQuestion holds

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LicenceCC BY
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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.