Evidence map›Paper›PMID 40705189›Full record

ArticleJA clinical reports2025

Effectiveness of a preoperative explanatory video system on patient acceptance and anesthesiologists' workload: a questionnaire survey.

Kohei Akemoto, Kotoe Kamata, Yu Kaiho, Eiko Onishi, Shizuha Yabuki, Takuya Shiga, Masanori Yamauchi

Abstract read
In one paragraph

Article in JA clinical reports, 2025. 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

The trial behind it

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

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.

Kohei AkemotoDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi, Japan.
Kotoe KamataDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi, Japan. kotoe.kamata.c3@tohoku.ac.jp.ORCID http://orcid.org/0000-0002-7224-5993
Yu KaihoDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi, Japan.
Eiko OnishiDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi, Japan.
Shizuha YabukiDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi, Japan.
Takuya ShigaDepartment of Intensive Care of Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi, Miyagi 980-8575, Japan.
Masanori YamauchiDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai-shi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-quality preoperative patient education is crucial for enhancing comprehension and reducing anxiety. However, anesthesiologists often face time constraints that limit the depth of preoperative consultations. To address this challenge, we implemented a tablet-based preanesthetic explanatory video preview system, allowing patients to view tailored video clips prior to their consultation. This study aimed to evaluate the system's impact on patient acceptance and the workload of anesthesiologists.

methodsA questionnaire-based survey was conducted at our outpatient clinic between October 27 and November 20, 2023. A total of 121 patients and 20 anesthesiologists participated. Patients completed a three-point scale questionnaire assessing the video's clarity, relevance, and overall satisfaction. Anesthesiologists provided feedback on the efficiency of consultations and workload.

resultsNinety-five percent of patients found the video "easy to understand," and 96% expressed overall satisfaction. Thirteen out of 14 anesthesiologists reported that the video improved patient understanding and reduced consultation time, with an average time savings of 3.9 ± 3.2 min per patient. None reported an increase in workload.

conclusionsThe preanesthetic video preview system improved patient comprehension and satisfaction while enhancing consultation efficiency. Standardizing preoperative education through video may optimize clinical workflow and reduce the burden on anesthesiologists. Further research is warranted to assess its applicability across diverse patient populations and surgical settings.

Indexed as

Anesthesiologist workloadPatient comprehensionPreoperative educationVideo-assisted learningVideo-enhanced patient education

Identifiers

PMID40705189
PMCPMC12290128

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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.