Journal of UOEH
Online ISSN : 2187-2864
Print ISSN : 0387-821X
ISSN-L : 0387-821X
Volume 46, Issue 3
Displaying 1-5 of 5 articles from this issue
  • Tomoichiro KUWAZURU, Tomohiro ISHIMARU, Hajime ANDO, Kiminori ODAGAMI, ...
    Article type: [Original]
    2024Volume 46Issue 3 Pages 241-250
    Published: September 01, 2024
    Released on J-STAGE: September 01, 2024
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    This study evaluated trends in the implementation of workplace measures against COVID-19 by Japanese companies. We conducted a prospective cohort study, using data from December 2020 and December 2021, with 13,419 respondents participating in the follow-up survey. We evaluated nine workplace measures against COVID-19 (e.g., encouraging mask-wearing at work) and used the McNemar test and the Chi-square test for trend in the analysis. Small-sized companies (1–9 employees) exhibited a significant increase in the implementation of all the measures, with a rate of increase ranging from 8.4% to 16.1% (P-value: <0.001). Medium-sized companies (10–49 employees) also showed significant improvements in nearly all the measures (rate of increase: 3.5% to 10.5%, P-values: <0.001 to 0.004), except for one specific measure. Larger companies (more than 50 employees) displayed a mixed pattern, with some measures increasing and others decreasing. A persistent gap was observed between smaller (fewer than 50 employees) and larger companies in the implementation rates of these measures. The findings revealed a positive shift in workplace measures against COVID-19 among smaller companies in Japan over 1 year, although gaps between them and larger companies persisted.

  • Takanori MATSUURA, Youhei YOSHIMI, Shiho TAKAHASHI, Nami TANAKA, Hanae ...
    Article type: [Original]
    2024Volume 46Issue 3 Pages 251-261
    Published: September 01, 2024
    Released on J-STAGE: September 01, 2024
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    Few studies have evaluated the usefulness and limitations of pain assessment using verbal communication tools for acute orthopedic diseases in older patients. The purpose of this study was to assess the rate of usage of the numerical rating scale (NRS), a verbal communication tool, and to identify the characteristics of patients in whom continuous assessment was impossible. We retrospectively examined electronic medical records of patients with acute vertebral fractures who had been admitted to our hospital between April 2018 and March 2020. Continuous pain assessment using the NRS was possible in 43.2% of hospitalized patients with the fractures. The factors preventing continuous pain assessment using the NRS were an advanced age and low Mini-Mental State Examination (MMSE) scores. Based on the receiver-operating characteristic curves, the cutoff age and MMSE score were >85.3 years and <22, respectively. Continuous NRS-based pain assessment is difficult in older adult patients or those with cognitive decline with acute vertebral fractures. In future, a simple observational assessment tool for patients with dementia should be introduced in acute medical care settings.

  • Momo SAITO, Yosuke OKADA, Akira KUROZUMI, Yoshiya TANAKA
    Article type: [Case Report]
    2024Volume 46Issue 3 Pages 263-269
    Published: September 01, 2024
    Released on J-STAGE: September 01, 2024
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    Surgery is the main treatment for insulinoma, and precise preoperative localization is important to determine the extent of resection and to rule out multiple lesions. The selective arterial calcium injection (SACI) test is instrumental in the localization of insulinoma. Here we report a patient in whom the exact location of pancreatic insulinoma could not be determined by the conventional SACI test, and thus surgery was replaced with oral diazoxide. The hyperselective SACI test subsequently localized the lesion accurately, allowing surgical resection of the pancreatic body and tail while preserving the pancreatic head. We recommend the use of the hyperselective SACI test when the conventional SACI test fails to accurately determine the location of insulinoma lesions within the pancreas.

  • Toshiko TANAKA, Hiroaki SATO, Satoshi KIMURA, Kentaro KASAI, Takahiro ...
    Article type: [Case Report]
    2024Volume 46Issue 3 Pages 271-
    Published: September 01, 2024
    Released on J-STAGE: September 01, 2024
    JOURNAL OPEN ACCESS FULL-TEXT HTML
  • “AI in Human Factors and Ergonomics how should we apply the disruptive technologies to occupational health?”
    Article type: [Announcement]
    2024Volume 46Issue 3 Pages 273-274
    Published: September 01, 2024
    Released on J-STAGE: September 01, 2024
    JOURNAL OPEN ACCESS FULL-TEXT HTML
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