Evidence map›Paper›PMID 36067154›Full record

ArticlePloS one2022

Usefulness of a medical interview support application for residents: A pilot study.

Ayaka Matsuoka, Toru Miike, Hirotaka Yamazaki, Masahiro Higuchi, Moe Komaki, Kota Shinada, Kento Nakayama, Ryota Sakurai, Miho Asahi, Kunimasa Yoshitake and 4 more

Abstract read
In one paragraph

Article in PloS one, 2022. 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

14 authors.

Ayaka MatsuokaDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.ORCID 0000-0003-4383-9132
Toru MiikeDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Hirotaka YamazakiDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Masahiro HiguchiDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Moe KomakiDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Kota ShinadaDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.ORCID 0000-0002-9718-0890
Kento NakayamaDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Ryota SakuraiDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Miho AsahiDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Kunimasa YoshitakeDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Shogo NarumiDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Mayuko KobaDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.
Takashi SugiokaCommunity Medical Support Institute, Faculty of Medicine, Saga University, Saga City, Japan.
Yuichiro SakamotoDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To conduct an appropriate medical interview, education and clinical experience are necessary. The usefulness of computer-based medical diagnostic support systems has been reported in medical interviewing. However, only a few reports have actually applied these systems and noted changes in the quality of the medical interview of residents. We aimed to examine how the use of a medical interview support application changes the medical interviews of residents. The study was conducted on 15 residents (with less than two years post-graduation) and ran from November 2020 to March 2021. Faculty members played the role of simulated patients in 20 cases, and the residents conducted the medical interviews. In 10 of the 20 cases, a medical interview support application was used. After the interview, the residents were asked to list up to 10 differential diseases; the interview was considered appropriate if it included the disease portrayed by the simulated patient. Furthermore, the duration of the medical interview, the number of questions asked, and changes in stress parameters were evaluated. The use of a medical interview support application increased the percentage of appropriate medical interviews. Considering the frequency, the use of a medical interview support application increased the rate of appropriate medical interviews in the rare disease group, as well as the number of questions and duration of the interviews. No stress reduction was observed. The medical interview support application may be a useful tool in identifying appropriate differential diseases during medical interviews by residents.

Indexed as

Internship and ResidencyFacultyHumansPilot Projects

Identifiers

PMID36067154
PMCPMC9447879

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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.