請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19887
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.author | Yi-Hsuan Lin | en |
dc.contributor.author | 林宜萱 | zh_TW |
dc.date.accessioned | 2021-06-08T02:25:12Z | - |
dc.date.copyright | 2020-08-27 | |
dc.date.issued | 2020 | |
dc.date.submitted | 2020-08-17 | |
dc.identifier.citation | 1. WHO. (2018). The top 10 causes of death. 2. Roth, G.A., et al. (2018). Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 392(10159), 1736-1788. 3. 衛生福利部(民108)。108年死因統計結果分析。 4. Evers, S.M., et al. (2004). International comparison of stroke cost studies. Stroke, 35(5), 1209-15. 5. Rajsic, S., et al. (2019). Economic burden of stroke: a systematic review on post-stroke care. Eur J Health Econ, 20(1), 107-134. 6. Benjamin, E.J., et al. (2019). Heart disease and stroke statistics-2019 update: a report from the American Heart Association. Circulation, 139(10), e56-e528. 7. Centers for Medicare and Medicaid Services.(2020). Hospital 30-day, all-cause, risk-standardized readmission rate (RSRR) following an acute ischemic stroke hospitalization. Available from: https://cmit.cms.gov/CMIT_public/ListMeasures. 8. Hsieh, F.I., et al. (2010). Get With the Guidelines-Stroke performance indicators: surveillance of stroke care in the Taiwan Stroke Registry: Get With the Guidelines-Stroke in Taiwan. Circulation, 122(11), 1116-23. 9. Johnston, M.V., et al. (1992). Prediction of Outcomes Following Rehabilitation of Stroke Patients. NeuroRehabilitation, 2, 72-97. 10. Paolucci, S., et al. (1998). Functional Outcome in Stroke Inpatient Rehabilitation: Predicting No, Low and High Response Patients. Cerebrovascular Diseases, 8(4), 228-234. 11. Andersen Hanne, E., et al. (2000). Can Readmission After Stroke Be Prevented? Stroke, 31(5), 1038-1045. 12. Hou, W.-H., et al. (2015). Stroke Rehabilitation and Risk of Mortality: A Population-Based Cohort Study Stratified by Age and Gender. J Stroke Cerebrovasc Dis, 24(6), 1414-1422. 13. Yagi, M., et al. (2017). Impact of Rehabilitation on Outcomes in Patients With Ischemic Stroke. Stroke, 48(3), 740-746. 14. Wattanapan, P., et al. (2020). Effectiveness of Stroke Rehabilitation Compared between Intensive and Nonintensive Rehabilitation Protocol: A Multicenter Study. J Stroke Cerebrovasc Dis, 29(6), 104-809. 15. Kumar, A., et al. (2019). Use of Hospital-Based Rehabilitation Services and Hospital Readmission Following Ischemic Stroke in the United States. Archives of physical medicine and rehabilitation, 100(7, 1218-1225. 16. Andrews, A.W., D. Li, and J.K. Freburger. (2015). Association of rehabilitation intensity for stroke and risk of hospital readmission. Phys Ther, 95(12), 1660-7. 17. Chang, K.-C., et al. (2018). Rehabilitation Reduced Readmission and Mortality Risks in Patients With Stroke or Transient Ischemic Attack: A Population-based Study. Medical Care, 56(4). 18. Hsieh, C.Y., et al. (2018). Effect of Rehabilitation Intensity on Mortality Risk After Stroke. Arch Phys Med Rehabil, 99(6), 1042-1048.e6. 19. Hu, G.C., et al. (2014). Association between the volume of inpatient rehabilitation therapy and the risk of all-cause and cardiovascular mortality in patients with ischemic stroke. Arch Phys Med Rehabil, 95(2), 269-75. 20. 吳品潔、徐均宏(民106年)。 住院病人出院後三日內再急診之相關因素探討-以東部某區域醫院為例。健康管理學刊,15(1),71-79。 21. Lee, H.C., et al. (2013). Readmission, mortality, and first-year medical costs after stroke. J Chin Med Assoc, 76(12), 703-14. 22. Chen, C.M., et al. (2015). Factors predicting the total medical costs associated with first-ever ischeamic stroke patients transferred to the rehabilitation ward. J Rehabil Med, 47(2), 120-5. 23. Chen, C.M. and Y.L. Ke. (2016). Predictors for total medical costs for acute hemorrhagic stroke patients transferred to the rehabilitation ward at a regional hospital in Taiwan. Top Stroke Rehabil, 23(1), 59-66. 24. Huang, Y.C., et al. (2013). The impact factors on the cost and length of stay among acute ischemic stroke. J Stroke Cerebrovasc Dis, 22(7), e152-8. 25. Chang, K.-C. and M.-C. Tseng. (2003). Costs of Acute Care of First-Ever Ischemic Stroke in Taiwan. Stroke, 34(11), e219-e221. 26. Lee, H.C., et al. (2010). Inpatient rehabilitation utilization for acute stroke under a universal health insurance system. Am J Manag Care, 16(3), e67-e74. 27. Chen, C.-M., et al. (2019). Economic evaluation of transferring first-stroke survivors to rehabilitation wards: A 10-year longitudinal, population-based study. Topics in Stroke Rehabilitation, 1-7. 28. Chan, B. (2015). Effect of Increased Intensity of Physiotherapy on Patient Outcomes After Stroke: An Economic Literature Review and Cost-Effectiveness Analysis. Ontario health technology assessment series, 15(7), 1-43. 29. Lai, C.L., et al. (2017). Post-acute care for stroke - a retrospective cohort study in Taiwan. Patient Prefer Adherence, 11, 1309-1315. 30. Chen, C.-Y., Y.-B. Huang, and C. Tzu-Chi Lee. (2013). Epidemiology and disease burden of ischemic stroke in Taiwan. Int J Neurosci, 123(10), 724-731. 31. Kelly-Hayes, M., et al. (2003). The influence of gender and age on disability following ischemic stroke: the Framingham study. J Stroke Cerebrovasc Dis, 12(3), 119-126. 32. Lincoln, N.B., et al. (2013). Anxiety and depression after stroke: a 5 year follow-up. Disabil Rehabil, 35(2), 140-5. 33. Sacco, R.L., et al. (2013). An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke, 44(7), 2064-89. 34. Chobanian, A.V., et al. (2003). The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA, 289(19), 2560-72. 35. Banerjee, C., et al. (2012). Duration of diabetes and risk of ischemic stroke: the Northern Manhattan Study. Stroke, 43(5), 1212-7. 36. Boehme, A.K., C. Esenwa, and M.S. Elkind. (2017). Stroke Risk Factors, Genetics, and Prevention. Circ Res, 120(3), 472-495. 37. Thun, M.J., L.F. Apicella, and S.J. Henley. (2000). Smoking vs other risk factors as the cause of smoking-attributable deaths: confounding in the courtroom. JAMA, 284(6), 706-12. 38. Bhat, V.M., et al. (2008). Dose-response relationship between cigarette smoking and risk of ischemic stroke in young women. Stroke, 39(9), 2439-43. 39. W.S. Smith, S.L.H., J.D. Easton. (2001). Cerebrovascular diseases. Harrison’s principles of internal medicine (15th ed.), ed. S.H. E. Braunwald, A.S. Fauci, D.L. Longo, D.L. Kasper, J.L. Jameson, NY: McGraw-Hill. 40. Fatahzadeh, M. and M. Glick. (2006). Stroke: epidemiology, classification, risk factors, complications, diagnosis, prevention, and medical and dental management. Oral Surg Oral Med Oral Pathol Oral Radiol Endod, 102(2), 180-91. 41. Gebruers, N., et al. (2010). Monitoring of physical activity after stroke: a systematic review of accelerometry-based measures. Arch Phys Med Rehabil, 91(2), 288-97. 42. Buntin, M.B., et al. (2010). Medicare spending and outcomes after postacute care for stroke and hip fracture. Med Care, 48(9), 776-84. 43. Winstein, C.J., et al. (2016). Guidelines for Adult Stroke Rehabilitation and Recovery: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke, 47(6), e98-e169. 44. Miller, E.L., et al. (2010). Comprehensive overview of nursing and interdisciplinary rehabilitation care of the stroke patient: a scientific statement from the American Heart Association. Stroke, 41(10), 2402-48. 45. 吳肖琪(民97年)。 急性醫療與慢性照護的橋樑-亞急性與急性後期照護。護理雜誌,55(4),5-10. 46. Buntin, M.B. (2007). Access to postacute rehabilitation. Arch Phys Med Rehabil, 88(11), 1488-93. 47. Prvu Bettger, J.A. and M.G. Stineman. (2007). Effectiveness of Multidisciplinary Rehabilitation Services in Postacute Care: State-of-the-Science. A Review. Arch Phys Med Rehabil, 88(11), 1526-1534. 48. Stroke Unit Trialists C. (2013). Organised inpatient (stroke unit) care for stroke. Cochrane Data System Revi, 2013(9):CD000197. 49. Buntin, M.B., et al. (2005). How Much Is Postacute Care Use Affected by Its Availability? Health Services Res, 40(2), 413-434. 50. 韓德生,林家瑋、盧璐、蕭名彥、吳爵宏、梁蕙雯、⋯、張權維(民105年)。臺灣腦中風復健治療指引。台灣復健醫學雜誌,44(1),1-9。 51. 衛生福利部(民109年)。全民健康保險急性後期整合照護計畫。取自: https://www.nhi.gov.tw/Content_List.aspx?n=5A0BB383D955741C topn=5FE8C9FEAE863B46. 52. Gagnon, D., S. Nadeau, and V. Tam. (2006). Ideal timing to transfer from an acute care hospital to an interdisciplinary inpatient rehabilitation program following a stroke: an exploratory study. BMC health services research, 6, 151-151. 53. Wang, H., et al. (2011). Time to Inpatient Rehabilitation Hospital Admission and Functional Outcomes of Stroke Patients. PM R, 3(4), 296-304. 54. Chang, W.H., et al. (2015). Characteristics of inpatient care and rehabilitation for acute first-ever stroke patients. Yonsei Med J, 56(1), 262-70. 55. Ng, Y.S., et al. (2016). Predictors of Acute, Rehabilitation and Total Length of Stay in Acute Stroke: A Prospective Cohort Study. Ann Acad Med Singapore, 45(9), 394-403. 56. Hong, I., et al. (2018). Discharge Patterns for Ischemic and Hemorrhagic Stroke Patients Going From Acute Care Hospitals to Inpatient and Skilled Nursing Rehabilitation. Am J physical medicine rehabilitation, 97(9), 636-645. 57. Gabet, A., et al. (2018). Admission in Neurorehabilitation and Association with Functional Outcomes after Stroke in France: A Nation-Wide Study, 2010-2014. J Stroke Cerebrovasc Dis, 27(12), 3443-3450. 58. Molteni, F., et al. (2019). Efficiency in stroke management from acute care to rehabilitation: bedside versus telemedicine consultation. Eur J Phys Rehabil Med, 55(2), 141-147. 59. Cheng, Y.-Y., et al. (2017). The Impact of Rehabilitation Frequencies in the First Year after Stroke on the Risk of Recurrent Stroke and Mortality. J Stroke Cerebrovasc Dis, 26(12), 2755-2762. 60. Chang, K.C., et al. (2018). Rehabilitation Reduced Readmission and Mortality Risks in Patients With Stroke or Transient Ischemic Attack: A Population-based Study. Med Care, 56(4), 290-298. 61. Di Carlo, A. (2009). Human and economic burden of stroke. Age and Ageing, 38(1), 4-5. 62. Katan, M. and A. Luft. (2018). Global Burden of Stroke. Semin Neurol, 38(2), 208-211. 63. Wang, G., et al. (2014). Costs of Hospitalization for Stroke Patients Aged 18-64 Years in the United States. J Stroke Cerebrovasc Dis, 23(5), 861-868. 64. Go, A.S., et al. (2014). Heart disease and stroke statistics--2014 update: a report from the American Heart Association. Circulation, 129(3), e28-e292. 65. Luengo-Fernandez, R., et al. (2020). Economic burden of stroke across Europe: A population-based cost analysis. Eur Stroke J, 5(1), 17-25. 66. Cha, Y.J. (2018). The Economic Burden of Stroke Based on South Korea's National Health Insurance Claims Database. Int J Health Policy Manag, 7(10), 904-909. 67. 鄧復旦、劉大任、陳柏旭、白佳原(民89年)。復健科住院實施論病例計酬支付制度之初探。中華民國復健醫學會雜誌,28(2),77-85。 68. Chang, K.-C. and M.-C. Tseng. (2003). Costs of Acute Care of First-Ever Ischemic Stroke in Taiwan. Stroke; a journal of cerebral circulation, 34, e219-21. 69. Pelham Barton, S.B., Suzanne Robinson. (2004). Modelling in the economic evaluation of health care: selecting the appropriate approach. J Health Services Research Policy, 9(2), 110-118. 70. 財團法人醫藥品查驗中心(民103年)。醫療科技評估方法學指引。取自:https://tools.ispor.org/PEguidelines/source/HTA_guidelines_Taiwan.pdf. 71. Michael F. Drummond, et al. (2006). Methods for the economic evaluation of health care programmes. US: Oxford University Press. 72. 楊忠霖(民106年)。伴隨臨床試驗同步進行藥物經濟研究。當代醫療法規月刊,77。 73. Tam, A., et al. (2019). Cost-effectiveness of a high-intensity rapid access outpatient stroke rehabilitation program. I J Rehab Res, 42(1), 56-62. 74. Khiaocharoen, O., et al. (2012). Economic Evaluation of Rehabilitation Services for Inpatients with Stroke in Thailand: A Prospective Cohort Study. Value Health Reg Issues, 1(1), 29-35. 75. Chang, K.C., et al. (2012). Cost-effectiveness analysis of stroke management under a universal health insurance system. J Neurol Sci, 323(1-2), 205-15. 76. Allen, L., et al. (2019). Assessing the impact of a home-based stroke rehabilitation programme: a cost-effectiveness study. Disabil Rehabil, 41(17), 2060-2065. 77. Middleton, A., et al. (2018). Readmission Patterns Over 90-Day Episodes of Care Among Medicare Fee-for-Service Beneficiaries Discharged to Post-acute Care. J Am Med Dir Assoc, 19(10), 896-901. 78. Roy-O'Reilly, M. and L.D. McCullough. (2018). Age and Sex Are Critical Factors in Ischemic Stroke Pathology. Endocrinology, 159(8), 3120-3131. 79. Ntaios, G., et al. (2015). Predicting Functional Outcome and Symptomatic Intracranial Hemorrhage in Patients With Acute Ischemic Stroke. Stroke, 46(3), 899-908. 80. Torres-Aguila, N.P., et al. (2019). Clinical Variables and Genetic Risk Factors Associated with the Acute Outcome of Ischemic Stroke: A Systematic Review. Stroke, 21(3), 276-289. 81. Yagi, M., et al. (2017). Impact of Rehabilitation on Outcomes in Patients With Ischemic Stroke. Stroke, 48(3),. 740-746. 82. Strowd, R.E., et al. (2015). Predictors of 30-Day Hospital Readmission Following Ischemic and Hemorrhagic Stroke. Am J Med Quality, 30(5), 441-446. 83. Chuang, K.-Y., et al. (2005). Identifying Factors Associated with Hospital Readmissions among Stroke Patients in Taipei. J Nursing Res, 13(2), 117-128. 84. Stamplecoski, M., et al. (2012). Abstract 34: Predictors of Readmission to Hospital Following Acute Stroke. Stroke, 43(suppl_1), A34-A34. 85. Stuart, E.A. (2010). Matching methods for causal inference: A review and a look forward. Statistical science : a review journal of the Institute of Mathematical Statistics, 25(1), 1-21. 86. Ho, D.E., et al. (2007). Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference. Political Analysis, 15(3), 199-236. 87. Huang, Y.-C., et al. (2013). The Impact Factors on the Cost and Length of Stay among Acute Ischemic Stroke. J Stroke Cerebrovasc Dis, 22(7), e152-e158. 88. Ryg, J., et al. (2018). Barthel Index at hospital admission is associated with mortality in geriatric patients: a Danish nationwide population-based cohort study. Clinical epidemiology, 10, 1789-1800. 89. Tseng, M.-C. and K.-C. Chang. (2006). Stroke severity and early recovery after first-ever ischemic stroke: Results of a hospital-based study in Taiwan. Health Policy, 79(1), 73-78. 90. Lin, H.J., W.L. Chang, and M.C. Tseng. (2011). Readmission after stroke in a hospital-based registry: risk, etiologies, and risk factors. Neurology, 76(5), 438-43. 91. Ozdemir, F., et al. (2001). Comparing stroke rehabilitation outcomes between acute inpatient and nonintense home settings. Arch Phys Med Rehabil, 82(10), 1375-9. 92. Stuntz, M., et al. (2017). Nationwide trends of clinical characteristics and economic burden of emergency department visits due to acute ischemic stroke. Open Access Emerg Med, 9, 89-96. 93. Abdo, R.R., et al. (2018). Direct Medical Cost of Hospitalization for Acute Stroke in Lebanon: A Prospective Incidence-Based Multicenter Cost-of-Illness Study. Inquiry, 55, 1-11. 94. Langhorne, P., et al. (2000). Medical complications after stroke: a multicenter study. Stroke, 31(6), 1223-9. 95. Fisher, S.R., et al. (2013). Mobility after hospital discharge as a marker for 30-day readmission. J gerontology. Series A, Biological sciences and medical sciences, 68(7), 805-10. 96. Kansagara, D., et al. (2011). Risk prediction models for hospital readmission: a systematic review. JAMA, 306(15), 1688-1698. 97. Kilkenny, M.F., et al. (2013). Factors Associated With 28-Day Hospital Readmission After Stroke in Australia. Stroke, 44(8), 2260-2268. 98. Shah, S.V., et al. (2015). Impact of Poststroke Medical Complications on 30-Day Readmission Rate. J Stroke Cerebrovasc Dis, 24(9), 1969-77. 99. Bondestam, E., A. Breikss, and M. Hartford. (1995). Effects of early rehabilitation on consumption of medical care during the first year after acute myocardial infarction in patients ≥65 years of age. Am J Cardio, 75(12), 767-771. 100. Peng, L.N., et al. (2017). Functional Outcomes, Subsequent Healthcare Utilization, and Mortality of Stroke Postacute Care Patients in Taiwan: A Nationwide Propensity Score-matched Study. J Am Med Dir Assoc, 18(11), 990.e7-990.e12. 101. Stuntz, M., et al. (2017). Nationwide trends of clinical characteristics and economic burden of emergency department visits due to acute ischemic stroke. Open access emergency medicine : OAEM, 9, 89-96. 102. Davenport, R.J., et al. (1996). Complications after acute stroke. Stroke, 27(3), 415-20. 103. Kalra, L., et al. (1995). Medical complications during stroke rehabilitation. Stroke, 26(6), 990-4. 104. Nouh, A.M., et al. (2017). High Mortality among 30-Day Readmission after Stroke: Predictors and Etiologies of Readmission. Frontiers in neurology, 8, 632-632. 105. Rao, A., et al. (2016). Systematic Review of Hospital Readmissions in Stroke Patients. Stroke Research and Treatment, 2016, 9325368. 106. Leppert, M.H., et al. (2020). Relationship between early follow-up and readmission within 30 and 90 days after ischemic stroke. Neurology, 94(12), e1249. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19887 | - |
dc.description.abstract | 研究背景與目的:過往研究發現腦中風病患住院期間接受高強度復健,可改善身體功能與中風相關併發症,或許能降低醫療費用,而非計畫再住院與急診亦可反映住院復健成效,然目前尚未有研究探討住院復健強度與住院醫療費用、非計畫再住院以及急診的相關性。此外,目前也未有研究探討住院復健強度之成本效果。因此,本研究目的為探討住院復健強度與住院期間醫療費用、非計畫再住院以及急診的相關性,並以健保署觀點,探討住院復健強度之成本效果。
研究方法:本研究資料取自「臺大醫療體系醫療整合資料庫」與「P4P病人層級指標登錄表」,研究對象為2015年10月到2017年9月出院且有接受住院復健之腦中風病人,透過多元線性迴歸與多元邏輯斯迴歸分析不同復健強度對住院醫療費用、非計畫再住院以及急診之影響,並以遞增成本效果比值(Incremental cost effectiveness ratio, ICER)進行成本效果分析。 研究結果:本研究共納入1,166人,經過傾向分數配對後兩組人數各為378人,經過迴歸分析後,於住院期間接受高強度復健的腦中風病人之出院後30日內非計劃性再入院勝算比為0.49 (95%信賴區間:0.27-0.86)、30日內急診利用勝算比為0.36 (95%信賴區間:0.22-0.61)、90日內急診利用勝算比為0.55 (95%信賴區間:0.37-0.82),在住院醫療費用的部分則節省了32,707元(p=0.026);進行成本效果計算後,發現高強度復健為較具優勢的治療策略。 結論:腦中風病人於住院期間接受高強度復健之住院醫療費用較低,同時也能改善照護結果,為具成本效果的治療策略。 | zh_TW |
dc.description.abstract | Objectives: Previous studies have explored that stroke patients who received high intensity inpatient stroke rehabilitation, may result in the improvement of functional outcomes and the reduction of stroke-related complications, and might reduce medical costs. Furthermore, the outcomes of unplanned readmission and emergency department(ED) visit reflected the quality and effectiveness of care. However, the relation between inpatient rehabilitation intensity and medical costs, unplanned readmissions and ED visits are unknown. In addition, the economic evaluation of different intensities of rehabilitation is also unknown. Thus, the aim of the study is to assess the difference in medical costs , return emergency department visits and unplanned readmissions after receiving different intensities of stroke rehabilitation during hospitalization; moreover, to examine the cost-effectiveness of different intensities of rehabilitation. Methods: The database derived from Hospital Healthcare system and pay-for-performance documents of National Taiwan University Hospital, and we incuded stroke patients who discharged from October 2015 to September 2017. Multiple logistic regression analysis and multiple linear regression were used to discover the effects of different intensities on unplanned readmission, emergency department visit and medical costs. The Incremental cost effectiveness ratio was calculated as the difference in costs divided by the difference in the rate of return emergency department visits and unplanned readmissions. Results: We recruited 1,166 patients, and 378 pairs of subjects were selected after propensity score matching. After adjustment by regression model, the odds ratio of receiving high intensity therapy of 30-day unplanned readmission, 30-and 90-day emergency department visit were 0.49 (95% confidence interval [CI], 0.27-0.86), 0.36 (95% CI, 0.22-0.61) and 0.55 (95% CI, 0.37-0.82), respectively. In addition, it saved NT$32,707(p=0.026) in medical costs. According to the result of cost-effectiveness analysis, high intensity of rehabilitation therapy was a dominant strategy. Conclusions: For stroke patients who receive high intensity rehabilitation therapy can not only reduce medical costs, but also decrease hospital utilization after discharge, and which is a cost-effectiveness strategy. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T02:25:12Z (GMT). No. of bitstreams: 1 U0001-1408202015125900.pdf: 2982598 bytes, checksum: a9913802cb1b1db2347c18ef1a173734 (MD5) Previous issue date: 2020 | en |
dc.description.tableofcontents | 口試委員會審定書 I 致謝 I 中文摘要 II ABSTRACT III 目錄 IV 表目錄 VI 圖目錄 VII 第一章 緒論 1 第一節 研究背景 1 第二節 研究目的 3 第二章 文獻探討 4 第一節 腦中風概述與復健照護 4 第二節 腦中風病人接受不同強度復健對照護結果的影響 10 第三節 腦中風病人醫療費用之相關實證研究 21 第四節 腦中風復健治療之經濟評估實證研究 24 第五節 文獻探討小結 31 第三章 研究方法 33 第一節 研究設計與架構 33 第二節 研究假說 35 第三節 研究對象 36 第四節 資料來源與資料處理流程 37 第五節 研究變項與操作型定義 40 第六節 統計分析方法 45 第四章 研究結果 48 第一節 描述性統計與雙變項分析 48 第二節 多變項分析 52 第三節 成本效果分析 57 第五章 討論 59 第一節 研究方法討論 59 第二節 研究結果討論 61 第三節 研究假說驗證 64 第四節 研究限制 65 第六章 結論與建議 66 第一節 結論 66 第二節 建議 67 參考文獻 68 | |
dc.language.iso | zh-TW | |
dc.title | 急性腦中風病人住院復健強度之照護結果與成本效果分析—以某醫學中心為例 | zh_TW |
dc.title | Outcomes and Cost Effectiveness Analysis of Inpatient Rehabilitation Intensity for Acute Stroke Patients in a Medical Center | en |
dc.type | Thesis | |
dc.date.schoolyear | 108-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 楊銘欽(Ming-Chin Yang),鄭建興(Jiann-Shing Jeng),梁蕙雯(Huey-Wen Liang) | |
dc.subject.keyword | 腦中風,復健強度,醫療費用,照護結果,成本效果, | zh_TW |
dc.subject.keyword | Stroke,rehabilitation intensity,medical costs,healthcare outcomes,cost-effectiveness, | en |
dc.relation.page | 75 | |
dc.identifier.doi | 10.6342/NTU202003426 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2020-08-17 | |
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 | |
---|---|---|---|
U0001-1408202015125900.pdf 目前未授權公開取用 | 2.91 MB | Adobe PDF |
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。