Evidence map›Paper›PMID 39721681›Full record

ArticleInternal medicine (Tokyo, Japan)2025

Validity and Reliability of the Japanese Version of the ACE Tool for Assessing Evidence-based Medicine Competencies in Medical Practitioners and Students: An Evaluation in an Online Setting.

Hidehiro Someko, Ryohei Yamamoto, Takashi Ariie, Akira Onishi, Junji Kumasawa, Yuki Okazawa, Nao Hanaki, Keisuke Anan, Yuki Matsuda, Gaku Fujiwara and 6 more

Abstract readValidation Study
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Hidehiro SomekoDepartment of Healthcare Epidemiology, Kyoto University Graduate School of Medicine/Public Health, Japan.
Ryohei YamamotoCenter for Innovative Research for Communities and Clinical Excellence (CIRC2LE), Fukushima Medical University, Japan.
Takashi AriieScientific Research WorkS Peer Support Group (SRWS-PSG), Japan.
Akira OnishiDepartment of Advanced Medicine for Rheumatic diseases, Graduate School of Medicine, Kyoto University, Japan.
Junji KumasawaDepartment of Critical Care Medicine, Sakai City Medical Center, Japan.
Yuki OkazawaDepartment of Pharmacoepidemiology, Kyoto University Graduate School of Medicine/Public Health, Japan.
Nao HanakiDepartment of Public Health, Osaka University Graduate School of Medicine, Japan.
Keisuke AnanDepartment of Healthcare Epidemiology, Kyoto University Graduate School of Medicine/Public Health, Japan.
Yuki MatsudaDepartment of Psychiatry, Jikei University School of Medicine, Japan.
Gaku FujiwaraDepartment of Pharmacoepidemiology, Kyoto University Graduate School of Medicine/Public Health, Japan.
Katsuhiko HashimotoDepartment of Emergency and Intensive Care Medicine, Fukushima Medical University, Japan.
Masafumi TadaDepartment of Clinical Research Management Center, Emergency Medicine, Neurology, Nagoya City University East Medical Center, Japan.
Yuri AkamatsuDepartment of Health Informatics, Kyoto University Graduate School of Medicine/Public Health, Japan.
Minoru MurakamiDepartment of Nephrology, Saku Central Hospital, Japan.
Kotaro FujiiDepartment of Healthcare Epidemiology, Kyoto University Graduate School of Medicine/Public Health, Japan.
Yuki KataokaDepartment of Healthcare Epidemiology, Kyoto University Graduate School of Medicine/Public Health, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Evidence-based medicine (EBM) competency is crucial for healthcare professionals; however, validated tools to assess EBM skills in Japanese are scarce. This study aimed to develop and validate a Japanese version of the Assessing Competency in EBM (ACE) tool. Methods We translated the ACE tool into Japanese, following international standards, and distributed it online to 99 healthcare professionals and students. The participants completed demographic questions and the Japanese version of the ACE tool. A subset also completed the retest and Fresno test. Internal consistency was assessed using Cronbach's alpha, test-retest reliability using the intraclass correlation coefficient (ICC), and construct validity using a confirmatory factor analysis and correlation with the Fresno test. Results The Japanese version of the ACE tool showed a low internal consistency (Cronbach's alpha =0.31, 95% CI: 0.09-0.49), but an acceptable test-retest reliability (ICC =0.64, 95% CI: 0.40-0.81). A confirmatory factor analysis provided moderate support for the structure of the tool (SRMR =0.092, RMSEA =0.048, CFI =0.852). The tool demonstrated a moderate correlation with the Fresno test (r =0.35). The median completion time was 847 s (IQR, 577-1,249 s). Conclusion Although the Japanese version of the ACE tool showed some promising aspects, including a quick administration and partial validity, its low internal consistency suggests that refinement is needed before it can be confidently used in Japanese medical education settings. Future studies should focus on improving the tool's reliability, potentially through in-person administration, to develop a robust EBM assessment tool in the Japanese healthcare context.

Indexed as

Clinical CompetenceEvidence-Based MedicineStudents, MedicalAdultEast Asian PeopleFemaleHumansJapanMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesYoung AdultACE toolevidence-based medicineevidence-based medicine competencymeasurementreliabilityvalidity

Identifiers

PMID39721681
PMCPMC12331312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.