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題名:利用社會網絡分析挑出重複用藥的關鍵樞紐部門
書刊名:醫務管理期刊
作者:林為森 引用關係錢才瑋
作者(外文):Lin, Weir-senChien, Tsair-wei
出版日期:2016
卷期:17:3
頁次:頁232-246
主題關鍵詞:重複用藥社會網絡分析急診醫學部門關鍵樞紐部門Duplicate medicationSocial network analysisEmergency departmentThe pivotal department
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:5
  • 點閱點閱:6
目的:利用社會網絡分析挑出重複用藥的關鍵樞紐部門,作為主管機關與醫院改善之參考。方法:自5類型醫療院所的2015年第4季門急診健保申報資料中,擷取823,005筆藥品,對應病人時間重疊的藥理分類系統前5碼相同者3,520筆。利用(1)基本統計學挑出重複用藥最多的部門及其開立的藥品、(2)社會網絡分析挑出重複用藥的關鍵樞紐部門。結果:挑出(1)重複用藥最多的部門為醫院A的麻醉科(76.74%)、醫院D的內分泌科(73.33%)、及醫院D的消化內科(73.33%)、(2)重複用藥最多的藥品為理冒伯樂止痛錠及伯基腸溶微粒膠囊100公絲、(3)重複用藥的關鍵樞紐部門為醫院ABC的3家醫院急診醫學部門。結論:利用社會網絡的主成份分析視覺化挑出重複用藥的「關鍵樞紐部門」為醫院的急診醫學科,宜優先訴求改善與注意,作為醫院進行持續性改善重複用藥的依據與參考。
Objectives: To identify the departments with the most duplicate prescriptions in outpatient sections by using social network analysis (SNA) Methods: Data for duplicate prescriptions from the fourth quarter of 2015 were retrieved from the reimbursement claims to Taiwan's government-run National Health Insurance Department. Data including 823,005 items from five different health care institutions were used to match the first 5 digits of the Anatomical Therapeutic Chemical dataset, and 3,520 duplicate prescriptions were then identified. We utilized (1) a foundational statistical technique to identify the highest rates of duplicate prescriptions by department and by drug, and (2) SNA to identify the key departments writing duplicate prescriptions. Results: (1) The highest rates of duplicate prescriptions by department were in the anesthesiology department of Hospital A (76.74%) and the endocrinology (73.33%) and digestive system departments (73.33%) of Hospital D. (2) The highest rates of duplicate prescriptions by drug were for FUCOLE PARAN TABLETS (acetaminophen) and BOKEY ENTERIC-MICROENCAPSULATED CAPSULES 100MG (aspirin). (3) The key departments were the emergency departments of Hospitals A, B, and C. Conclusions: The SNA principal components method is useful in identifying the key departments in terms of duplicate prescriptions and may be the first step in reducing the number of duplicate prescriptions in healthcare settings.
期刊論文
1.陳惠玉、許茜甯(20130300)。電子化整合處方系統對門診重複處方之改善。臺灣醫學,17(2),111-124。  延伸查詢new window
2.Hsu, M. H.、Yeh, Y. T.、Chen, C. Y.、Liu, C. H.、Liu, C. T.(2011)。Online detection of potential duplicate medications and changes of physician behavior for outpatients visiting multiple hospitals using national health insurance smart cards in Taiwan。International Journal of Medical Informatics,80(3),181-189。  new window
3.Jena, A. B.、Goldman, D.、Weaver, L.、Karaca-Mandic, P.(2014)。Opioid prescribing by multiple providers in Medicare: Retrospective observational study of insurance claims。British Medical Journal,348。  new window
4.王文芬、吳世望、錢才瑋(20151200)。不同層級醫院三高處方用藥重複率改善結果的比較。醫務管理期刊,16(4),279-293。new window  延伸查詢new window
5.郭昱君、鄭守夏、楊銘欽(20141000)。新制醫院評鑑、處方警示系統、以及門診重複用藥率的相關性探討。臺灣公共衛生雜誌,33(5),523-529。new window  延伸查詢new window
6.Barnett, M. L.、Christakis, N. A.、O'Mally, J.、Onnela, J. P.、Keating, N. L.、Landon, B. E.(2012)。Physician patient-sharing networks and the cost and intensity of care in US hospitals。Med Care,50(2),152-160。  new window
7.Landon, B. E.、Keating, N. L.、Barnett, M. L.、Onnela, J. P.、Paul, S.、O'Malley, A. J.、Christakis, N. A.(2012)。Variation in patient-sharing networks of physicians across the United States。JAMA,308(3),265-273。  new window
8.Kinoshita, H.、Kobayashi, Y.、Fukuda, T.(2008)。Duplicative medications in patients who visit multiple medical institutions among the insured of a corporate health insurance society in Japan。Health Policy,85(1),114-123。  new window
9.Kondo, Y.(2002)。An analysis of multiple doctor consultations in Japan。Quart Soc Security Res,38(1),14-24。  new window
10.Landon, B. E.、Onnela, J. P.、Keating, N. L.、Barnett, M. L.、Paul, S.、O'Malley, A. J.、Christakis, N. A.(2013)。Using administrative data to identify naturally occurring networks of physicians。Med Care,51(8),715-721。  new window
11.Pankratz, L.、Jackson, J.(1994)。Habitually wandering patients。N. Engl. J. Med,331(26),1752-1755。  new window
12.Reeve, E.、Wiese, M. D.(2014)。Benefits of deprescribing on patients' adherence to medications。Int J Clin Pharm,36(1),26-29。  new window
13.Takahashi, Y.、Ishizaki, T.、Nakayama, T.、Kawachi, I.(2016)。Social network analysis of duplicative prescriptions: One-month analysis of medical facilities in Japan。Health Policy,120(3),334-341。  new window
14.Worley, J.、Hall, J. M.(2012)。Doctor shopping: a concept analysis。Res Theory Nurs Pract,26(4),262-278。  new window
15.全民健康保險爭議審議委員會(20070500)。不同科別重複用藥所涉及之爭議問題1(3),74-81。  延伸查詢new window
圖書
1.Borgatti, S. P.、Everett, M. G.、Freeman, L. C.(2002)。Ucinet 6 for Windows: Software for social network analysis。Harvard, MA:Analytic Technologies。  new window
2.榮泰生(2013)。UNICIT在社會網絡分析(SNA)之應用。臺北市:五南圖書。  延伸查詢new window
3.Batagelj, V.、Mrvar, A.、Junger, M.、Mutzel, P.(2003)。Pajek -Analysis and Visualization of Large Networks。Springer, Berlin:Graph Drawing Software。  new window
其他
1.衛生福利部中央健康保險署(20161212)。醫院總額指標,http://www.nhi.gov.tw/AmountInfoWeb/TargetItem.aspx?rtype=2。  延伸查詢new window
2.Ministry of Health, Labour and Welfare(2010)。Patient's behavior survey in 2008,http://www.mhlw.go.jp/ toukei_hakusho/toukei/index.html。  new window
 
 
 
 
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