Journal of Yeungnam Medical Science

Original articles

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; J Yeungnam Med Sci. 2022;39(2):116-123. Published online October 5, 2021; DOI: https://doi.org/10.12701/yujm.2021.01319

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Background
Recently, 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.
Methods
We 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.
Results
The 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.
Conclusion
The 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.

Citations

Citations to this article as recorded by

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Thomas M. Hemmerling, Sean D. Jeffries
Anesthesia & Analgesia.2024; 138(2): 239. CrossRef
Exploring the influence of anthropomorphic appearance on usage intention on online medical service robots (OMSRs): A neurophysiological study
Yi Ding, Ran Guo, Muhammad Bilal, Vincent G. Duffy
Heliyon.2024; 10(5): e26582. CrossRef
Human-Robot Interaction and Social Robot: The Emerging Field of Healthcare Robotics and Current and Future Perspectives for Spinal Care
In Ho Han, Dong Hwan Kim, Kyoung Hyup Nam, Jae Il Lee, Kye-Hyung Kim, Jong-Hwan Park, Ho Seok Ahn
Neurospine.2024; 21(3): 868. CrossRef
Nurses' perceptions of medical service robots in negative‐pressure isolated wards and in general wards: A cross‐sectional survey
Jung Hwan Lee, In Ho Han, Jong Hwan Park, Kye‐Hyung Kim, Jaehyun Hwang, Dong Hwan Kim, Jae Il Lee, Kyoung Hyup Nam
Nursing Open.2024;[Epub] CrossRef
Customer acceptance of service robots under different service settings
Yi Li, Chongli Wang, Bo Song
Journal of Service Theory and Practice.2023; 33(1): 46. CrossRef

Impact of an emergency department resident strike during the coronavirus disease 2019 (COVID-19) pandemic in Daegu, South Korea: a retrospective cross-sectional study: Yo Han Cho, Jae Wan Cho, Hyun Wook Ryoo, Sungbae Moon, Jung Ho Kim, Sang-Hun Lee, Tae Chang Jang, Dong Eun Lee; J Yeungnam Med Sci. 2022;39(1):31-38. Published online August 10, 2021; DOI: https://doi.org/10.12701/yujm.2021.01130

5,493 View
109 Download
6 Web of Science
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Abstract PDF

Background
To prepare for future work stoppages in the medical industry, this study aimed to identify the effects of healthcare worker strikes on the mortality rate of patients visiting the emergency department (ED) at six training hospitals in Daegu, Korea.
Methods
We used a retrospective, cross-sectional, multicenter design to analyze the medical records of patients who visited six training hospitals in Daegu (August 21–September 8, 2020). For comparison, control period 1 was set as the same period in the previous year (August 21–September 8, 2019) and control period 2 was set as July 1–19, 2020. Patient characteristics including age, sex, and time of ED visit were investigated along with mode of arrival, length of ED stay, and in-hospital mortality. The experimental and control groups were compared using t-tests, and Mann-Whitney U-test, chi-square test, and Fisher exact tests, as appropriate. Univariate logistic regression was performed to identify significant factors, followed by multivariate logistic regression analysis.
Results
During the study period, 31,357 patients visited the ED, of which 7,749 belonged to the experimental group. Control periods 1 and 2 included 13,100 and 10,243 patients, respectively. No significant in-hospital mortality differences were found between study periods; however, the results showed statistically significant differences in the length of ED stay.
Conclusion
The ED resident strike did not influence the mortality rate of patients who visited the EDs of six training hospitals in Daegu. Furthermore, the number of patients admitted and the length of ED stay decreased during the strike period.

Citations

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European Journal of Emergency Medicine.2024; 31(1): 53. CrossRef
What Do Trainees Want? The Rise of House Staff Unions
Debra Malina, Lisa Rosenbaum
New England Journal of Medicine.2024; 390(3): 279. CrossRef
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Eun Kyung Choi, Sanghee Yeo
Korean Journal of Medical Education.2024; 36(2): 157. CrossRef
Impacts of industrial actions, protests, strikes and lockouts by health and care workers during COVID-19 and other pandemic contexts: a systematic review
Isabel Craveiro, Pradeep Kumar Choudhury, Ana Paula Cavalcante de OLiveira, Alessandra Pereira, Inês Fronteira, Raphael Chança, Giorgio Cometto, Mario Roberto Dal Poz, Paulo Ferrinho
Human Resources for Health.2024;[Epub] CrossRef
Why Did All the Residents Resign? Key Takeaways From the Junior Physicians’ Mass Walkout in South Korea
Jinwook Park, Chang Ho Shin, Joo-Young Lee
Journal of Graduate Medical Education.2024; 16(4): 402. CrossRef
Experience of operating a medical humanities course at one medical school during the COVID-19: a retrospective study
Yu Ra Kim, Hye-won Shin, Young Hwan Lee, Seong-Yong Kim
Journal of Yeungnam Medical Science.2023; 40(2): 179. CrossRef
Study on the Learning Environment of Medical Students in the COVID-19
Yu Ra Kim, Hye Jin Park, Saeyoon Kim
Keimyung Medical Journal.2023; 42(2): 80. CrossRef

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