以醫師觀點探討台灣醫學中心於COVID-19防疫策略

Physicians' Perspective of Prevention Strategy of Taiwan Medical Center on COVID-19

張巧玟(Chiao-Wen Chang) ； 蘇佩虹(Pei-Hung Su) ； 彭紀棟(Chi-Tung Peng)

《醫院雜誌》 55卷2期 (2022/06) Pp. 61-73

摘要

目的：世界衛生組織於2020年3月11日宣布嚴重特殊傳染性肺炎（COVID-19）進入全球大流行。依據台灣衛生福利部疾病管制署公告，2020年1月21日我國確診首例境外移入COVID-19個案，全國各醫院隨即啟動防疫措施。本研究主要比較跨院際醫療支援之主治醫師對醫院防疫策略的信心感受。方法：採回溯性研究設計，使用次級資料分析，母研究自2020年3月至2020年4月對跨院支援的醫師進行問卷發放。結果：納入研究結果分析共58人，男性佔77.6%，大多支援區域醫院（37.9%），84.5%為兼任支援。綜合來說，對於醫院整體的防疫措施，支援醫院感受均值為4.91分（普通），本研究個案醫院為5.50分（有信心），於支援醫院與本研究個案醫院之間的信心程度有達統計上顯著差異（t=-4.147, p=0.000＜0.01）。另，受測醫師對於醫學中心之「陪病及探病管制」及「醫院提供的防疫資訊」，較非醫學中心有信心（p＜0.05）。結論：本研究結果顯示在這個資訊化與醫療導入AI（Artiflcial Intelligence）的時代，醫療政策合併資訊平台同步發展，不僅能配合瞬息萬變的防疫政策，更能增加員工對於機構的管理信心。

關鍵字

醫學中心 ； 防疫 ； COVID-19 ； 嚴重特殊傳染性肺炎

並列摘要

Objective: On March 11, 2020, the World Health Organization declared the outbreak of severe special infectious pneumonia (COVID-19) as a global pandemic. According to the announcement of Taiwan's Centers for Disease Control, the first case of COVID-19 in Taiwan was imported from abroad on January 21, 2020, and hospitals across the country immediately initiated epidemic prevention measures. In this study, the confidence of physicians involved in the interhospital medical support implemented as part of hospitals' epidemic prevention strategies were assessed. Methods: A retrospective study design was adopted, and secondary data analysis was conducted. In the parent study, questionnaires were administered to physicians who participated in interhospital medical support from March to April of 2020. Results: A total of 58 physicians were included in the analysis, of which 77.6% were men. Most of them offered medical support in regional hospitals (37.9%), with 84.5% offering part-time support. For the overall epidemic prevention measures of the hospital, the average confidence score for the been supported hospitals and the case hospital was 4.91 (normal) and 5.50 (confident), respectively. A statistically significant difference in the degree of confidence was observed between the supporting hospital and case hospital (t = −4.147, p = 0.000, p ＜ 0.01). In addition, the physicians have more confidents in medical center rather than unmedical center in the ＂medical management of the accompany and visiting center＂ and ＂the epidemic prevention information provided by the hospital＂ (p ＜ 0.05). Conclusion: The results of this study indicated that the introduction of artificial intelligence in medical care alongside the development of medical policy integration information platforms can assist hospital management in coping with the ever-changing epidemic prevention policies and increase employees' confidence in managerial policy strategies.

並列關鍵字

Medical Center ； Epidemic Prevention ； COVID-19 ； Coronavirus disease 2019