Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 公共衛生學院
  3. 健康政策與管理研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/21803
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor董鈺琪(Yu-Chi Tung)
dc.contributor.authorLiang-Meng Ou Yangen
dc.contributor.author歐陽良孟zh_TW
dc.date.accessioned2021-06-08T03:47:31Z-
dc.date.copyright2019-03-05
dc.date.issued2019
dc.date.submitted2019-01-27
dc.identifier.citation1. 衛生福利部統計處. 民國105年死因統計年報電子書. http://dep.mohw.gov.tw/DOS/lp-3352-113.html. Accessed October, 01, 2017.
2. Feigin VL, Forouzanfar MH, Krishnamurthi R, et al. Global and regional burden of stroke during 1990–2010: findings from the Global Burden of Disease Study 2010. The Lancet 2014; 383:245-55.
3. Powers WJ, Rabinstein AA, Ackerson T, et al. 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke 2018; 49:e46-e110.
4. Reeves MJ, Parker C, Fonarow GC, Smith EE, Schwamm LH. Development of stroke performance measures: definitions, methods, and current measures. Stroke 2010; 41:1573-8.
5. 孫穆乾. 中風照護品質指標的發展. 台灣醫學 2013; 17:76-83.
6. Wiedmann S, Norrving B, Nowe T, et al. Variations in quality indicators of acute stroke care in 6 European countries: the European Implementation Score (EIS) Collaboration. Stroke 2012; 43:458-63.
7. 衛生福利部中央健康保險署. 全民健康保險醫療品質資訊公開網 - 中風指標項目說明. https://www1.nhi.gov.tw/mqinfo/Content.aspx?List=3&Type=Stroke. Accessed March 2, 2018.
8. 財團法人醫院評鑑暨醫療品質策進會. 台灣臨床成效指標. http://tcpi.jct.org.tw/tcpi/. Accessed March 2, 2018.
9. Powers WJ, Rabinstein AA, Ackerson T, et al. 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke 2018:STR. 0000000000000158.
10. Maasland L, Brouwer-Goossensen D, den Hertog HM, Koudstaal PJ, Dippel DW. Health education in patients with a recent stroke or transient ischaemic attack: a comprehensive review. Int J Stroke 2011; 6:67-74.
11. Katzan IL, Fan Y, Speck M, et al. Electronic Stroke CarePath: Integrated Approach to Stroke Care. Circ Cardiovasc Qual Outcomes 2015; 8:S179-89.
12. Ballard DW, Kim AS, Huang J, et al. Implementation of Computerized Physician Order Entry Is Associated With Increased Thrombolytic Administration for Emergency Department Patients With Acute Ischemic Stroke. Ann Emerg Med 2015; 66:601-10.
13. Faulkner J, Stoner L, Lanford J, Jolliffe E, Mitchelmore A, Lambrick D. Long-Term Effect of Participation in an Early Exercise and Education Program on Clinical Outcomes and Cost Implications, in Patients with TIA and Minor, Non-Disabling Stroke. Transl Stroke Res 2017; 8:220-7.
14. Eames S, Hoffmann T, Worrall L, Read S, Wong A. Randomised controlled trial of an education and support package for stroke patients and their carers. BMJ Open 2013; 3.
15. 紀櫻珍, 吳振龍, 李君碩, 張偉斌, 許朝程. 衛生教育介入對輕度中風患者心理社會預後之成效. 北市醫學雜誌 2013; 10:26-37.
16. Kim JI, Lee S, Kim JH. Effects of a web-based stroke education program on recurrence prevention behaviors among stroke patients: a pilot study. Health Educ Res 2013; 28:488-501.
17. DeLaroche AM, Sivaswamy L, Farooqi A, Kannikeswaran N. Pediatric Stroke Clinical Pathway Improves the Time to Diagnosis in an Emergency Department. Pediatr Neurol 2016; 65:39-44.
18. Fujino Y, Kubo T, Muramatsu K, et al. Impact of regional clinical pathways on the length of stay in hospital among stroke patients in Japan. Med Care 2014; 52:634-40.
19. 酈欽菁, 蔡秀鸞, 葉炳強, 蘇慧芳. 缺血性腦中風臨床路徑之成效. 台灣醫學 2002; 6:672-81.
20. 衛生福利部國民健康署. 認識腦中風. https://www.hpa.gov.tw/Pages/Detail.aspx?nodeid=631&pid=1185. Accessed March 5, 2018.
21. American Heart Association/American Stroke Association. Types of Stroke. http://www.strokeassociation.org/STROKEORG/AboutStroke/TypesofStroke/Types-of-Stroke_UCM_308531_SubHomePage.jsp. Accessed March 5, 2018.
22. 蔡佩霖, 郭斐然. 缺血性腦中風的診斷與治療. 台灣家庭醫學雜誌 2012; 22:41-51.
23. American Heart Association/American Stroke Association. Stroke Warning Signs. http://www.strokeassociation.org/STROKEORG/WarningSigns/Stroke-Warning-Signs-and-Symptoms_UCM_308528_SubHomePage.jsp. Accessed March 6, 2018.
24. 衛生福利部統計處. 105年全民健康保險醫療統計電子書. https://dep.mohw.gov.tw/DOS/lp-3734-113.html. Accessed March 31, 2018.
25. Benjamin EJ, Virani SS, Callaway CW, et al. Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association. Circulation 2018; 137:e67-e492.
26. Ovbiagele B, Goldstein LB, Higashida RT, et al. Forecasting the future of stroke in the United States: a policy statement from the American Heart Association and American Stroke Association. Stroke 2013; 44:2361-75.
27. Gall SL, Tran PL, Martin K, Blizzard L, Srikanth V. Sex differences in long-term outcomes after stroke: functional outcomes, handicap, and quality of life. Stroke 2012; 43:1982-7.
28. Whitson HE, Landerman LR, Newman AB, Fried LP, Pieper CF, Cohen HJ. Chronic medical conditions and the sex-based disparity in disability: the Cardiovascular Health Study. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences 2010; 65:1325-31.
29. Feigin VL, Krishnamurthi RV, Parmar P, et al. Update on the global burden of ischemic and hemorrhagic stroke in 1990-2013: the GBD 2013 study. Neuroepidemiology 2015; 45:161-76.
30. 何乘彰. 預防腦中風 從腦中風主要危險因子談起. 彰基院訊 2013; 30:10-1.
31. American Heart Association/American Stroke Association. Stroke Risks. http://www.strokeassociation.org/STROKEORG/AboutStroke/UnderstandingRisk/Understanding-Stroke-Risk_UCM_308539_SubHomePage.jsp. Accessed March 5, 2018.
32. American Heart Association/American Stroke Association. Stroke Treatment. http://www.strokeassociation.org/STROKEORG/AboutStroke/Treatment/Stroke-Treatment_UCM_492017_SubHomePage.jsp. Accessed March 5, 2018.
33. 馬惠明, 柯昭穎, 林志豪, 江文莒, 溫在弘, 紀俊麟. 台灣地區跨區域緊急醫療救護體系之建置規劃. 2009.
34. 詹雯婷, 黃莉蓉, 方震中. 淺談2011年度醫院緊急醫療能力分級與特殊照護中心認證計畫. 醫療品質雜誌 2011; 5:58-60.
35. 石崇良, 宋菁玲. 醫院緊急醫療能力分級標凖. 醫療品質雜誌 2009; 3:40-3.
36. 衛生福利部醫事司. 106 年度醫院緊急醫療能力分級評定基準及評分說明與評量方法. https://dep.mohw.gov.tw/DOMA/cp-984-4231-106.html. Accessed March 2, 2018.
37. Fonarow GC, Zhao X, Smith EE, et al. Door-to-needle times for tissue plasminogen activator administration and clinical outcomes in acute ischemic stroke before and after a quality improvement initiative. JAMA 2014; 311:1632-40.
38. Thortveit E, Bøe M, Ljøstad U, Mygland Å, Tveiten A. Organizational changes aiming to reduce iv tPA door‐to‐needle time. Acta Neurologica Scandinavica 2014; 130:248-52.
39. Mehdiratta M, Woolfenden A, Chapman K, et al. Reduction in IV t-PA door to needle times using an Acute Stroke Triage Pathway. Canadian journal of neurological sciences 2006; 33:214-6.
40. Tveiten A, Mygland Å, Ljøstad U, Thomassen L. Intravenous thrombolysis for ischaemic stroke: short delays and high community-based treatment rates after organisational changes in a previously inexperienced centre. Emergency Medicine Journal 2009; 26:324-6.
41. Kim S, Lee S, Bae H, et al. Pre‐hospital notification reduced the door‐to‐needle time for IV t‐PA in acute ischaemic stroke. European journal of neurology 2009; 16:1331-5.
42. Etgen T, Freudenberger T, Schwahn M, Rieder G, Sander D. Multimodal strategy in the successful implementation of a stroke unit in a community hospital. Acta neurologica Scandinavica 2011; 123:390-5.
43. Chen C-H, Tang S-C, Tsai L-K, et al. Stroke code improves intravenous thrombolysis administration in acute ischemic stroke. PloS one 2014; 9:e104862.
44. Sung S-F, Huang Y-C, Ong C-T, Chen Y-W. A parallel thrombolysis protocol with nurse practitioners as coordinators minimized door-to-needle time for acute ischemic stroke. Stroke research and treatment 2011; 2011.
45. Heo JH, Kim YD, Nam HS, et al. A computerized in-hospital alert system for thrombolysis in acute stroke. Stroke 2010; 41:1978-83.
46. American Heart Association/American Stroke Association. About Target: Stroke. http://www.strokeassociation.org/STROKEORG/Professionals/TargetStroke/About-Target-Stroke_UCM_432409_Article.jsp#.Wp9aouhuY2w. Accessed March 7, 2018.
47. Fonarow GC, Smith EE, Saver JL, et al. Improving door-to-needle times in acute ischemic stroke: the design and rationale for the American Heart Association/American Stroke Association's Target: Stroke initiative. Stroke 2011; 42:2983-9.
48. Yang L, Zhao Q, Zhu X, et al. Effect of a comprehensive health education program on pre-hospital delay intentions in high-risk stroke population and caregivers. Qual Life Res 2017; 26:2153-60.
49. Tang YH, Hung CH, Chen HM, Lin TH, Liu Y. The effect of health education on Taiwanese hypertensive patients' knowledge and cognition of stroke. Worldviews Evid Based Nurs 2015; 12:116-25.
50. Ravenell J, Leighton-Herrmann E, Abel-Bey A, et al. Tailored approaches to stroke health education (TASHE): study protocol for a randomized controlled trial. Trials 2015; 16:176.
51. Mullen Conley K, Juhl Majersik J, Gonzales NR, et al. Kids Identifying and Defeating Stroke (KIDS): development and implementation of a multiethnic health education intervention to increase stroke awareness among middle school students and their parents. Health Promot Pract 2010; 11:95-103.
52. Brown DL, Conley KM, Sanchez BN, et al. A Multicomponent Behavioral Intervention to Reduce Stroke Risk Factor Behaviors: The Stroke Health and Risk Education Cluster-Randomized Controlled Trial. Stroke 2015; 46:2861-7.
53. Brown DL, Conley KM, Resnicow K, et al. Stroke Health and Risk Education (SHARE): design, methods, and theoretical basis. Contemp Clin Trials 2012; 33:721-9.
54. Deng Y, Jiao Y, Hu R, Wang Y, Wang Y, Zhao X. Reduction of length of stay and costs through the implementation of clinical pathways for stroke management in China. Stroke 2014; 45:e81-3.
55. Panella M, Marchisio S, Brambilla R, Vanhaecht K, Di Stanislao F. A cluster randomized trial to assess the effect of clinical pathways for patients with stroke: results of the clinical pathways for effective and appropriate care study. BMC Med 2012; 10:71.
56. Kim JH, Byun HY, Son S, et al. Retrospective assessment of the implementation of critical pathway in stroke patients in a single university hospital. Ann Rehabil Med 2014; 38:603-11.
57. Yang JM, Park YS, Chung SP, et al. Implementation of a clinical pathway based on a computerized physician order entry system for ischemic stroke attenuates off-hour and weekend effects in the ED. Am J Emerg Med 2014; 32:884-9.
58. Khajouei R, Jaspers MW. CPOE system design aspects and their qualitative effect on usability. Studies in health technology and informatics 2008; 136:309.
59. Upperman JS, Staley P, Friend K, et al. The impact of hospitalwide computerized physician order entry on medical errors in a pediatric hospital. Journal of pediatric surgery 2005; 40:57-9.
60. Clayton PD, Narus SP, Bowes III WA, et al. Physician use of electronic medical records: issues and successes with direct data entry and physician productivity. AMIA annual symposium proceedings: American Medical Informatics Association, 2005:141.
61. Walsh SH. The clinician's perspective on electronic health records and how they can affect patient care. Bmj 2004; 328:1184-7.
62. Handel DA, Wears RL, Nathanson LA, Pines JM. Using information technology to improve the quality and safety of emergency care. Academic emergency medicine 2011; 18.
63. Kummer BR, Lerario MP, Navi BB, et al. Clinical Information Systems Integration in New York City's First Mobile Stroke Unit. Appl Clin Inform 2018; 9:89-98.
64. Walker KA, Nachreiner D, Patel J, Mayo RL, Kearney CD. Impact of standardized palliative care order set on end-of-life care in a community teaching hospital. Journal of palliative medicine 2011; 14:281-6.
65. Britton DJ, Bloch RB, Strout TD, Baumann MR. Impact of a computerized order set on adherence to Centers for Disease Control guidelines for the treatment of victims of sexual assault. Journal of emergency medicine 2013; 44:528-35.
66. Fowkes CT, Gee C, Bluemink T, Cole D, Falkner BL, Hamour AA. Audit of physicians’ adherence to a preprinted order set for community-acquired pneumonia. The Canadian journal of hospital pharmacy 2010; 63:289.
67. Elder KG, Lemon SK, Costello TJ. Increasing compliance with national quality measures for stroke through use of a standard order set. Am J Health Syst Pharm 2015; 72:S6-S10.
68. Wentworth DA, Atkinson RP. Implementation of an acute stroke program decreases hospitalization costs and length of stay. Stroke 1996; 27:1040-3.
69. Hanzelka KM, Yeung S-CJ, Chisholm G, et al. Implementation of modified early-goal directed therapy for sepsis in the emergency center of a comprehensive cancer center. Supportive Care in Cancer 2013; 21:727-34.
70. Ballard DJ, Ogola G, Fleming NS, et al. The impact of standardized order sets on quality and financial outcomes. 2008.
71. Upperman JS, Staley P, Friend K, et al. The introduction of computerized physician order entry and change management in a tertiary pediatric hospital. Pediatrics 2005; 116:e634-42.
72. Leifer D, Bravata DM, Hinchey JA, et al. Metrics for measuring quality of care in comprehensive stroke centers: detailed follow-up to Brain Attack Coalition comprehensive stroke center recommendations: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2011; 42:849-77.
73. 衛生福利部中央健康保險署. 全民健康保險醫療品質資訊公開網 - 院所別之醫療品質資訊. http://www1.nhi.gov.tw/AmountInfoWeb/section03.html. Accessed March 2, 2018.
74. 衛生福利部中央健康保險署. 全民健康保險醫療品質資訊公開網 - 使用說明. https://www1.nhi.gov.tw/mqinfo/Content.aspx?List=2&Type=Stroke. Accessed March 2, 2018.
75. Nam HS, Han SW, Ahn SH, et al. Improved time intervals by implementation of computerized physician order entry-based stroke team approach. Cerebrovasc Dis 2007; 23:289-93.
76. Park RW, Shin SS, Choi YI, Ahn JO, Hwang SC. Computerized physician order entry and electronic medical record systems in Korean teaching and general hospitals: results of a 2004 survey. Journal of the American Medical Informatics Association 2005; 12:642-7.
77. Ash JS, Gorman PN, Seshadri V, Hersh WR. Computerized physician order entry in US hospitals: results of a 2002 survey. Journal of the American Medical Informatics Association 2004; 11:95-9.
78. 董 鈺琪, 鍾國彪, 張睿詒. 綜合教學醫院推行品質管理與營運績效之關係研究. 中華公共衛生雜誌 2000; 19:221-30.
79. Chung KP, Yu TH. Are quality improvement methods a fashion for hospitals in Taiwan? Int J Qual Health Care 2012; 24:371-9.
80. Tonna AP, Gould IM, Stewart D. A cross-sectional survey of antimicrobial stewardship strategies in UK hospitals. J Clin Pharm Ther 2014; 39:516-20.
81. Knoderer CA, Nichols KR, Cox EG. Optimized antimicrobial dosing strategies: a survey of pediatric hospitals. Paediatr Drugs 2014; 16:523-9.
82. Buyle FM, Decruyenaere J, De Waele J, et al. A survey of beta-lactam antibiotics and vancomycin dosing strategies in intensive care units and general wards in Belgian hospitals. Eur J Clin Microbiol Infect Dis 2013; 32:763-8.
83. Izumi T, Miyachi S, Hattori K, et al. The current status of treatment strategies for cerebral aneurysms in nagoya university and affiliated hospitals based on a questionnaire survey. Interv Neuroradiol 2007; 13 Suppl 1:39-43.
84. Bradley EH, Herrin J, Wang Y, et al. Strategies for reducing the door-to-balloon time in acute myocardial infarction. New England Journal of Medicine 2006; 355:2308-20.
85. Bradley EH, Sipsma H, Brewster AL, Krumholz HM, Curry L. Strategies to reduce hospital 30-day risk-standardized mortality rates for patients with acute myocardial infarction: a cross-sectional and longitudinal survey. BMC cardiovascular disorders 2014; 14:126.
86. Turner M, Barber M, Dodds H, et al. Stroke patients admitted within normal working hours are more likely to achieve process standards and to have better outcomes. J Neurol Neurosurg Psychiatry 2016; 87:138-43.
87. 李淑芬, 林宜靜, 蔡偉德. 醫療救治品質存在週末效應? 人文及社會科學集刊 2012; 24:233-75.
88. Bejot Y, Aboa-Eboule C, Jacquin A, et al. Stroke care organization overcomes the deleterious 'weekend effect' on 1-month stroke mortality: a population-based study. Eur J Neurol 2013; 20:1177-83.
89. Lyons AM, Sward KA, Deshmukh VG, Pett MA, Donaldson GW, Turnbull J. Impact of computerized provider order entry (CPOE) on length of stay and mortality. J Am Med Inform Assoc 2017; 24:303-9.
90. Mekhjian H, Saltz J, Rogers P, Kamal J. Impact of CPOE order sets on lab orders. AMIA Annual Symposium Proceedings: American Medical Informatics Association, 2003:931.
91. Jensen JR. The effects of computerized provider order entry on medication turn-around time: a time-to-first dose study at the Providence Portland Medical Center. AMIA Annual Symposium Proceedings: American Medical Informatics Association, 2006:384.
92. Prgomet M, Li L, Niazkhani Z, Georgiou A, Westbrook JI. Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis. J Am Med Inform Assoc 2017; 24:413-22.
93. Schreiber R, Peters K, Shaha SH. Computerized provider order entry reduces length of stay in a community hospital. Appl Clin Inform 2014; 5:685-98.
94. Jack BW, Chetty VK, Anthony D, et al. A reengineered hospital discharge program to decrease rehospitalization: a randomized trial. Annals of internal medicine 2009; 150:178-87.
95. Peter D, Robinson P, Jordan M, Lawrence S, Casey K, Salas-Lopez D. Reducing readmissions using teach-back: enhancing patient and family education. J Nurs Adm 2015; 45:35-42.
96. Coleman EA, Parry C, Chalmers S, Min S-j. The care transitions intervention: results of a randomized controlled trial. Archives of internal medicine 2006; 166:1822-8.
97. Alexandrov AW, Coleman KC, Palazzo P, Shahripour RB, Alexandrov AV. Direct stroke unit admission of intravenous tissue plasminogen activator: safety, clinical outcome, and hospital cost savings. Ther Adv Neurol Disord 2016; 9:304-9.
98. Fehnel CR, Glerum KM, Wendell LC, et al. Safety and Costs of Stroke Unit Admission for Select Acute Intracerebral Hemorrhage Patients. Neurohospitalist 2018; 8:12-7.
99. Akhtar N, Kamran S, Singh R, et al. Beneficial Effects of Implementing Stroke Protocols Require Establishment of a Geographically Distinct Unit. Stroke 2015; 46:3494-501.
100. Tamm A, Siddiqui M, Shuaib A, et al. Impact of stroke care unit on patient outcomes in a community hospital. Stroke 2014; 45:211-6.
101. Tistad M, Ytterberg C, Sjostrand C, Holmqvist LW, von Koch L. Shorter length of stay in the stroke unit: comparison between the 1990s and 2000s. Top Stroke Rehabil 2012; 19:172-81.
102. Lannon R, Smyth A, Mulkerrin EC. An audit of the impact of a stroke unit in an acute teaching hospital. Ir J Med Sci 2011; 180:37-40.
103. Svendsen ML, Ehlers LH, Ingeman A, Johnsen SP. Higher stroke unit volume associated with improved quality of early stroke care and reduced length of stay. Stroke 2012; 43:3041-5.
104. 廖玲嬋. 建立雲端藥歷之聰明電子網. 醫療品質雜誌 2018; 12:54-9.
105. 劉存濱, 謝碧容, 許時涵. 探討醫師及藥師對健保雲端藥歷系統期望和感受之間的差異分析. Journal of Health Management 2014; 12:52-66.
106. 廖玲嬋, 廖光明, 黃曉鳳. 雲端藥歷初期成效分析. 醫療品質雜誌 2016; 10:67-72.
107. 衛生福利部中央健康保險署. 104年度全民健康保險鼓勵醫事服務機構即時查詢病患就醫資訊方案-西醫基層診所及交付機構. Accessed August 31, 2018.
108. 衛生福利部中央健康保險署. 健保雲端藥歷系統. Accessed August 31, 2018.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/21803-
dc.description.abstract背景與目的:中風所導致的長期失能與隨之而來的財務負擔是很沉重的。為提升照護品質,各國均發展出多元的策略與監測指標。從文獻回顧可以發現,策略對於照護品質的影響並不一致,再加上目前相關的研究較多是針對單一策略的介入,來探討其介入後的照護品質,較少針對醫院整體執行策略的情形與照護品質的相關性進行探討。因此,本研究希望以問卷的方式,了解台灣醫院品質策略執行的狀況,並結合目前醫療品質公開網上的中風照護指標,探討兩者的相關性。
方法:本研究以郵寄的問卷作為資料來源,研究對象為105年全民健康保險醫療品質資訊公開網中6項中風指標均有公布之154家醫療院所。將問卷結果與中風指標結合並進行複迴歸分析,探討醫院品質策略、緊急醫療能力分級與腦中風照護品質及利用之關係。
結果:收回的問卷共有94份,回覆率為61.04 %,並具有樣本代表性。有電腦化醫令系統之醫院,其住院日起180日內之平均住院日數較低(P=0.042);有提供中風出院病人書面文件/衛教資料之醫院,其住院日起180日內之平均住院醫療費用較低(P=0.043)。中風緊急醫療能力為中度級或重度級的醫院有較低的平均住院日數(P=0.001;P=0.007),以及較低的平均住院醫療費用(P=0.002;0.012)。
結論:醫院若有電腦化醫令系統、有提供中風出院病人書面文件/衛教資料,或是醫院擁有中度或重度之中風緊急醫療能力,即與較好的中風照護結果有關。但是,醫院品質策略與中風緊急醫療能力對於中風的照護過程品質(出院時、住院1日內、住院2日內有處方抗血栓藥物的比率)並沒有顯著的影響。
zh_TW
dc.description.abstractBackground: Stroke can cause long-term disability and heavy financial burdens. To improve quality of stroke care, many countries develop various strategies and indicators to measure stroke care. Through a literature review, I found that the impact of improvement strategies on healthcare outcomes is inconsistent, and research studies focus more on a single strategy intervention, rather than the overall stroke improvement strategies in the hospital. Therefore, this research intends to understand current improvement strategies in hospitals by using a questionnaire and evaluating the associations among those strategies and indicators of stroke care.
Methods: A structured questionnaire was mailed to 154 hospitals specifically selected for their complete online indicators. This research evaluated the associations of improvement strategies in the hospitals, emergent rescuer responsiveness levels and quality and utilization of stroke care by using multiple regression analysis.
Results: The response rate was 61.04%, and the sample was representative. The hospitals that implemented computerized physician order entry were associated with lower length of stay (P=0.042). The hospitals that provided stroke education booklets during discharge were associated with lower medical expenses (P=0.043). The hospitals that had a moderate or severe emergent rescuer responsiveness level of stroke care were associated with lower length of stay (moderate: P=0.001; severe: P=0.007) and lower medical expenses (moderate: P=0.002; severe: P=0.012).
Conclusions: Computerized physician order entry and providing stroke education booklets along with emergent rescuer responsiveness level of stroke care lead to better care outcomes. However, these strategies and levels show no significant impact on the process of stroke care, which includes physicians prescribing anticoagulant within 24 and 48 hours and when patients leave.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T03:47:31Z (GMT). No. of bitstreams: 1
ntu-108-R05848001-1.pdf: 2893064 bytes, checksum: d56a99f7a64774a6632212a3bde32a22 (MD5)
Previous issue date: 2019
en
dc.description.tableofcontents口試委員會審定書 i
致謝 ii
中文摘要 iii
Abstract iv
目錄 v
圖目錄 vii
表目錄 viii
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第三節 研究重要性 2
第二章 文獻探討 3
第一節 腦中風之介紹 3
第二節 醫院品質策略 8
第三節 中風照護品質測量指標 18
第四節 相關實證研究 24
第五節 文獻小結 33
第三章 研究方法 34
第一節 研究設計與架構 34
第二節 研究假說 35
第三節 研究對象 35
第四節 資料來源 36
第五節 研究變項與操作型定義 37
第六節 統計分析方法 42
第四章 研究結果 43
第一節 描述性分析 43
第二節 雙變項分析 47
第三節 多變項分析 56
第五章 討論 61
第一節 研究方法討論 61
第二節 假說驗證 63
第三節 研究限制 66
第六章 結論與建議 67
第一節 結論 67
第二節 建議 68
參考文獻 69
附錄 77
dc.language.isozh-TW
dc.title探討醫院品質策略、緊急醫療能力分級與腦中風照護品質及利用之關係zh_TW
dc.titleAssociations of Patient-care Improvement Strategies and Emergent Rescuer Responsiveness Levels with Quality and Utilization of Stroke Careen
dc.typeThesis
dc.date.schoolyear107-1
dc.description.degree碩士
dc.contributor.oralexamcommittee楊銘欽(Ming-Chin Yang),鄭建興(Jiann-Shing Jeng)
dc.subject.keyword腦中風,醫院品質策略,緊急醫療能力分級,照護品質,zh_TW
dc.subject.keywordstroke,patient-care improvement strategies,emergent rescuer responsiveness level,quality of stroke care,en
dc.relation.page78
dc.identifier.doi10.6342/NTU201900171
dc.rights.note未授權
dc.date.accepted2019-01-28
dc.contributor.author-college公共衛生學院zh_TW
dc.contributor.author-dept健康政策與管理研究所zh_TW
顯示於系所單位:健康政策與管理研究所

文件中的檔案:
檔案 大小格式 
ntu-108-1.pdf
  未授權公開取用
2.83 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved