Evidence map›Paper›PMID 35740169›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Search for Indexes to Evaluate Trends in Antibiotic Use in the Sub-Prefectural Regions Using the National Database of Health Insurance Claims and Specific Health Checkups of Japan.

Kanako Mizuno, Ryo Inose, Yuna Matsui, Mai Takata, Daisuke Yamasaki, Yoshiki Kusama, Ryuji Koizumi, Masahiro Ishikane, Masaki Tanabe, Hiroki Ohge and 2 more

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. 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
  2. Article
  3. Nationwide Long-Term Evaluation of Polypharmacy Reduction Policies Focusing on Older Adults in Japan.International journal of environmental research and public health · 2022
    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

12 authors.

Kanako MizunoDepartment of Clinical Pharmacoepidemiology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.
Ryo InoseDepartment of Clinical Pharmacoepidemiology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.ORCID 0000-0003-4874-0377
Yuna MatsuiDepartment of Clinical Pharmacoepidemiology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.
Mai TakataDepartment of Clinical Pharmacoepidemiology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.
Daisuke YamasakiDepartment of Infection Control and Prevention, Mie University Hospital, Tsu 514-8507, Japan.
Yoshiki KusamaDivision of General Pediatrics, Department of Pediatrics, Hyogo Prefectural Amagasaki General Medical Center, Amagasakic 660-8550, Japan.
Ryuji KoizumiAMR Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Masahiro IshikaneAMR Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Masaki TanabeDepartment of Infection Control and Prevention, Mie University Hospital, Tsu 514-8507, Japan.
Hiroki OhgeDepartment of Infectious Diseases, Hiroshima University Hospital, Hiroshima 734-8551, Japan.
Norio OhmagariAMR Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Yuichi MurakiDepartment of Clinical Pharmacoepidemiology, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.ORCID 0000-0001-6951-5676

Funding

Ministry of Health, Labor, and Welfare 20HA2003Ministry of Health, Labor, and Welfare 22HA1002
6 · The paper itself

Abstract

The evaluation indexes of antimicrobial use (AMU) in sub-prefectural regions have not been established because these regional units are susceptible to the effects of population inflows and outflows. We defined the difference in AMU calculated each year as a new evaluation index and compared the AMU of secondary medical areas with those already reported for Japan and each prefecture. Patients/1000 inhabitants/day (PID) for oral antibiotics in 2013 and 2016 were calculated using the National Database of Health Insurance Claims and Specific Health Checkups. ΔPID was defined as the difference between the PIDs in 2013 and 2016. Differences in AMUs for Japan and prefectures that have already been published were also calculated, and the concordance rate with ΔPID in each secondary medical area was evaluated. Antibiotics and age groups with less than 50% concordance between secondary medical area and previously reported AMU changes were observed. This revealed that even at the secondary medical area level, which is more detailed than the prefectural level, the AMU changes were not consistent. Therefore, in order to appropriately promote measures against antimicrobial resistance, we suggest the necessity of not only surveying AMU at the national or prefectural levels but also examining sub-prefectural trends in AMU.

Indexed as

antimicrobial useDDDs/1000 inhabitants per dayDOTs/1000 inhabitants per dayNational Database of Health Insurance Claims and Specific Health CheckupsPatients/1000 inhabitants/daysecondary medical area

Identifiers

PMID35740169
PMCPMC9219656

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.