Evidence map›Paper›PMID 40842720›Full record

ArticleBMJ public health2025

Association of patient, physician and visit characteristics with inappropriate antibiotic prescribing in Japanese primary care: a cross-sectional study.

Atsushi Miyawaki, Joseph B Ladines-Lim, Daichi Sato, Kei Kitajima, Jeffrey A Linder, Michael A Fischer, Kao-Ping Chua, Yusuke Tsugawa

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Atsushi Miyawaki *Public Health Research Group, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0000-0001-6126-1464
Joseph B Ladines-Lim *Division of Infectious Diseases, Department of Medicine, Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-2461-2752
Daichi SatoM3 Inc, Minato-ku, Japan.
Kei KitajimaM3 Inc, Minato-ku, Japan.
Jeffrey A LinderDivision of General Internal Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-2217-184X
Michael A FischerSection of General Internal Medicine, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Kao-Ping ChuaDepartment of Pediatrics, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Yusuke TsugawaDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-1937-4833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractObjective: To assess the prevalence and associated factors of inappropriate antibiotic prescribing in Japanese primary care. Methods: This cross-sectional study analysed all antibiotic prescriptions written between 1 October 2022 and 30 September 2023, using an electronic health record database of primary care clinics across Japan. Using a previously developed classification algorithm, we determined whether diagnosis codes occurring on or during the 3 days before the antibiotic prescribing date 'always', 'sometimes' or 'never' justified antibiotic use. We classified antibiotic prescriptions into one of four mutually exclusive categories: 'appropriate' (associated with ≥1 'always' code), 'potentially appropriate' (associated with ≥1 'sometimes' code but no 'always' codes), 'inappropriate' (associated only with 'never' codes) and 'not associated with a recent diagnosis'. A linear probability model examined patient, physician and visit characteristics associated with inappropriate antibiotic prescribing among solo practice clinics. Results: Analyses included 2 058 021 outpatient antibiotic prescriptions to 1 267 708 patients at 2809 clinics. Among these prescriptions, 176 181 (8.6%) were appropriate, 1 238 549 (60.2%) were potentially appropriate, 348 949 (17.0%) were inappropriate and 294 342 (14.3%) were not associated with a recent diagnosis. Among solo practice clinics, inappropriate prescribing was more likely to patients aged <18 versus ≥65 years (+2.6%; 95% CI +0.3% to +4.9%) or with Charlson Comorbidity Index score ≥2 vs 0 (+2.0%; 95% CI +0.6% to +3.4%), for physicians aged ≥65 versus <45 years (+7.3%; 95% CI +3.6% to +11.0%), for physicians in the highest tertile of antibiotic prescribing volume (+4.9%; 95% CI +3.0% to +6.8%), during telehealth visits (+3.9% vs office visits; 95% CI +0.02% to +7.7%) and during regular hours care versus after hours care (+2.1%; 95% CI +0.7% to +3.5%). These findings were qualitatively unchanged when including both solo and group practice clinics. Conclusions: Targeting younger patients, patients with comorbidities, older physicians, physicians with high antibiotic prescribing, telehealth visits and regular hours care may further increase stewardship effectiveness.

Indexed as

Communicable Disease ControlEpidemiological MonitoringPublic Health

Identifiers

PMID40842720
PMCPMC12366620

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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.