Evidence map›Paper›PMID 42221371›Full record

ArticleOpen forum infectious diseases2026

Impact of National Policies Promoting Appropriate Antibiotic Use on Outpatient Prescriptions and Hospitalizations for Bacterial Complications of Acute Respiratory Infections in Japan: An Interrupted Time-Series Analysis.

Shungo Yamamoto, Michihiko Goto, Tatsuyoshi Ikenoue, Kazuaki Jindai, Noriaki Kurita

Abstract read
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Article in Open forum infectious diseases, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shungo YamamotoDepartment of Transformative Protection to Infectious Disease, Graduate School of Medicine, The University of Osaka, Osaka, Japan.ORCID https://orcid.org/0000-0003-3207-8403
Michihiko GotoDivision of Infectious Diseases, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0001-6612-5613
Tatsuyoshi IkenoueDepartment of Public Health, Miyazaki University School of Medicine, Miyazaki, Japan.ORCID https://orcid.org/0000-0003-3717-8788
Kazuaki JindaiDepartment of Healthcare Epidemiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0003-4679-3862
Noriaki KuritaDepartment of Preventive Medicine, Tokai University School of Medicine, Kanagawa, Japan.ORCID https://orcid.org/0000-0003-4127-7500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: National policies in Japan have promoted appropriate antibiotic use, but their safety across age groups remains unclear. We examined whether these policies were associated with changes in outpatient antibiotic prescriptions for nonbacterial acute respiratory infections (ARIs) and hospitalizations for bacterial complications of ARIs. Methods: We conducted an interrupted time-series analysis using a Japanese administrative claims database from approximately 3 million enrollees in fiscal years 2016-2019. The interventions were publication of outpatient antimicrobial prescribing guidance in June 2017 and implementation of a pediatric financial incentive with package-insert revisions in April 2018. The primary outcome was the weekly hospitalization rate for bacterial infections potentially complicating ARIs. The secondary outcome was the proportion of outpatient antibiotic prescriptions among visits for nonbacterial ARIs. Results: There was no evidence of an overall increase in hospitalizations for bacterial complications of ARIs after either intervention. For the secondary outcome, prescribing declined further after Intervention 1 (slope change, -0.06 percentage points/week; 95% confidence interval [CI], -0.12 to -.01). After Intervention 2, there was no significant level change (-0.09 percentage points; 95% CI, -1.55 to 1.37), but the slope increased by 0.07 percentage points/week (95% CI, .03 to .11), indicating attenuation of the downward trend. In age-stratified analyses, hospitalization rates remained stable in most groups, with an increase in those aged 6-18 years after Intervention 2. Conclusions: Japan's national policies promoting appropriate antibiotic use were associated with reduced outpatient antibiotic prescribing for nonbacterial ARIs without an overall increase in hospitalizations for bacterial complications of ARIs.

Indexed as

acute respiratory infectionsappropriate antibiotic prescribinginterrupted time-series analysis

Identifiers

PMID42221371
PMCPMC13221640

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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.