Evidence map›Paper›PMID 36868602›Full record

ArticleBMJ open2023

Effect of multimodal comprehensive communication skills training with video analysis by artificial intelligence for physicians on acute geriatric care: a mixed-methods study.

Masaki Kobayashi, Mitsuya Katayama, Tomofumi Hayashi, Takuhiro Hashiyama, Toshinori Iyanagi, Saki Une, Miwako Honda

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 1 institution in 2 countries.

Masaki KobayashiDepartment of Geriatric Medicine, National Hospital Organization Tokyo Medical Centre, Meguro-ku, Japan kobayashi@tmcgrc.org.ORCID 0000-0001-5567-3788
Mitsuya KatayamaDepartment of General Internal Medicine, National Hospital Organization Tokyo Medical Centre, Meguro-ku, Japan.
Tomofumi HayashiDepartment of General Internal Medicine, National Hospital Organization Tokyo Medical Centre, Meguro-ku, Japan.
Takuhiro HashiyamaDepartment of General Internal Medicine, National Hospital Organization Tokyo Medical Centre, Meguro-ku, Japan.
Toshinori IyanagiDepartment of General Internal Medicine, National Hospital Organization Tokyo Medical Centre, Meguro-ku, Japan.
Saki UneDepartment of Geriatric Medicine, National Hospital Organization Tokyo Medical Centre, Meguro-ku, Japan.
Miwako HondaDepartment of Geriatric Medicine, National Hospital Organization Tokyo Medical Centre, Meguro-ku, Japan.
Tokyo Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo quantitatively analyse by artificial intelligence (AI) the communication skills of physicians in an acute care hospital for geriatric care following a multimodal comprehensive care communication skills training programme and to qualitatively explore the educational benefits of this training programme.

designA convergent mixed-methods study, including an intervention trial with a quasi-experimental design, was conducted to quantitatively analyse the communication skills of physicians. Qualitative data were collected via physicians' responses to an open-ended questionnaire administered after the training.

settingAn acute care hospital.

participantsA total of 23 physicians.

interventionsIn a 4-week multimodal comprehensive care communication skills training programme, including video lectures and bedside instruction, from May to October 2021, all the participants examined a simulated patient in the same scenario before and after their training. These examinations were video recorded by an eye-tracking camera and two fixed cameras. Then, the videos were analysed for communication skills by AI.

main outcome measuresThe primary outcomes were the physicians' eye contact, verbal expression, physical touch and multimodal communication skills with a simulated patient. The secondary outcomes were the physicians' empathy and burnout scores.

resultsThe proportion of the duration of the participants' single and multimodal types of communication significantly increased (p<0.001). The mean empathy scores and the personal accomplishment burnout scores also significantly increased after training. We developed a learning cycle model based on the six categories that changed after training from the physicians' perspective: multimodal comprehensive care communication skills training; increasing awareness of and sensitivity to changes to geriatric patients' condition; changes in clinical management; professionalism; team building and personal accomplishments.

conclusionsOur study showed that multimodal comprehensive care communication skills training for physicians increased the proportions of time spent performing single and multimodal communication skills by video analysis through AI. TRIAL REGISTRATION NUMBER: UMIN Clinical Trials Registry (UMIN000044288; https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000050586).

Indexed as

Artificial IntelligenceCommunications MediaAgedCommunicationEducational StatusHumansResearch DesignDementiaGERIATRIC MEDICINEINTERNAL MEDICINEMEDICAL EDUCATION & TRAININGQUALITATIVE RESEARCH

Identifiers

PMID36868602
PMCPMC9990644
OpenAlexW4323067155

What OpenQuestion holds

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LicenceCC BY-NC
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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.