Evidence map›Paper›PMID 34607408›Full record

ArticleJournal of Yeungnam medical science2022

User perception of medical service robots in hospital wards: a cross-sectional study.

Jung Hwan Lee, Jae Meen Lee, Jaehyun Hwang, Joo Young Park, Mijeong Kim, Dong Hwan Kim, Jae Il Lee, Kyoung Hyup Nam, In Ho Han

Abstract read
In one paragraph

Article in Journal of Yeungnam medical science, 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

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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.

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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

9 authors.

Jung Hwan LeeDepartment of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Busan, Korea.
Jae Meen LeeDepartment of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Busan, Korea.
Jaehyun HwangDepartment of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Busan, Korea.
Joo Young ParkDepartment of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Busan, Korea.
Mijeong KimDepartment of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Busan, Korea.
Dong Hwan KimDepartment of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Busan, Korea.
Jae Il LeeDepartment of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Busan, Korea.
Kyoung Hyup NamDepartment of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Busan, Korea.
In Ho HanDepartment of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Busan, Korea.

Funding

Ministry of Trade, Industry and Energy 20000515
6 · The paper itself

Abstract

backgruoundRecently, there have been various developments in medical service robots (MSRs). However, few studies have examined the perceptions of those who use it. The purpose of this study is to identify user perceptions of MSRs.

methodsWe conducted a survey of 320 patients, doctors, and nurses. The contents of the survey were organized as follows: external appearances, perceptions, expected utilization, possible safety accidents, and awareness of their responsibilities. Statistical analyses were performed using t-test, chi-square test, and analysis of variance.

resultsThe most preferred appearance was the animal type, with a screen. The overall average score of positive questions was 3.64±0.98 of 5 points and that of negative questions was 3.24±0.99. Thus, the results revealed that the participants had positive perceptions of MSR. The overall average of all expected utilization was 4.05±0.84. The most expected utilization was to guide hospital facilities. The most worrisome accident was exposure to personal information. Moreover, participants thought that the overall responsibility of the robot user (hospital) was greater than that of the robot manufacturer in the case of safety accidents.

conclusionThe perceptions of MSRs used in hospital wards were positive, and the overall expected utilization was high. It is necessary to recognize safety accidents for such robots, and sufficient attention is required when developing and manufacturing robots.

Indexed as

HospitalsPerceptionRoboticsSurveys and questionnaires

Identifiers

PMID34607408
PMCPMC8913912

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LicenceCC BY-NC
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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.