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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鄭守夏(Shou-Hsia Cheng) | |
| dc.contributor.author | Min-Ting Lin | en |
| dc.contributor.author | 林泯廷 | zh_TW |
| dc.date.accessioned | 2023-03-19T22:57:42Z | - |
| dc.date.copyright | 2022-10-03 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-07-27 | |
| dc.identifier.citation | 1. El Nahas AM, Bello AK. Chronic kidney disease: the global challenge. Lancet 2005;365:331-40. 2. Levey AS, Atkins R, Coresh J, et al. Chronic kidney disease as a global public health problem: Approaches and initiatives - a position statement from Kidney Disease Improving Global Outcomes. Kidney International 2007;72:247-59. 3. Kuo HW, Tsai SS, Tiao MM, Yang CY. Epidemiological features of CKD in Taiwan. American Journal of Kidney Diseases 2007;49:46-55. 4. Wen CP, Cheng TYD, Tsai MK, et al. All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan. Lancet 2008;371:2173-82. 5. Hsu CC, Hwang SJ, Wen CP, et al. High prevalence and low awareness of CKD in Taiwan: A study on the relationship between serum creatinine and awareness from a nationally representative survey. American Journal of Kidney Diseases 2006;48:727-38. 6. Yang WC, Hwang SJ, Taiwan Soc N. Incidence, prevalence and mortality trends of dialysis end-stage renal disease in Taiwan from 1990 to 2001: the impact of national health insurance. Nephrology Dialysis Transplantation 2008;23:3977-82. 7. United States Renal Data System. 2016 USRDS annual data report: Epidemiology of kidney disease in the United States: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD; 2016. 8. Hwang SJ, Tsai JC, Chen HC. Epidemiology, impact and preventive care of chronic kidney disease in Taiwan. Nephrology 2010;15:3-9. 9. Saran R, Li Y, Robinson B, et a. US Renal Data System 2014 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis 2015;66(1):(suppl 1): S-S306. 10. U.S. Renal Data System, USRDS 2007 Annual Data Report: Atlas of End-Stage Renal Disease in the United States: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD; 2007. 11. 2020 Annual Report on Kidney Disease in Taiwan: National Health Research Institutes and Taiwan Society of Nephrology; 2021. 12. Jha V, Garcia-Garcia G, Iseki K, et al. Chronic kidney disease: global dimension and perspectives. Lancet 2013;382:260-72. 13. Kidney Disease Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int suppl 2013;3(1):1-150. 14. Phillips LA, Donovan KL, Phillips AO. Renal quality outcomes framework and eGFR: impact on secondary care. Qjm-an International Journal of Medicine 2009;102:415-23. 15. de Lusignan S, Gallagher H, Chan T, et al. The QICKD study protocol: a cluster randomised trial to compare quality improvement interventions to lower systolic BP in chronic kidney disease (CKD) in primary care. Implementation Science 2009;4. 16. Stevens PE, O'Donoghue DJ, de Lusignan S, et al. Chronic kidney disease management in the United Kingdom: NEOERICA project results. Kidney International 2007;72:92-9. 17. Chen YR, Yang Y, Wang SC, et al. Multidisciplinary care improves clinical outcome and reduces medical costs for pre-end-stage renal disease in Taiwan. Nephrology 2014;19:699-707. 18. Wu IW, Wang SY, Hsu KH, et al. Multidisciplinary predialysis education decreases the incidence of dialysis and reduces mortality-a controlled cohort study based on the NKF/DOQI guidelines. Nephrology Dialysis Transplantation 2009;24:3426-33. 19. Wei SY, Chang YY, Mau LW, et al. Chronic kidney disease care program improves quality of pre-end-stage renal disease care and reduces medical costs. Nephrology 2010;15:108-15. 20. Liao PJ, Lin TY, Wang TC, et al. Long-Term and Interactive Effects of Pay-For-Performance Interventions among Diabetic Nephropathy Patients at the Early Chronic Kidney Disease Stage. Medicine 2016;95. 21. Hsieh HM, Lin MY, Chiu YW, et al. Economic evaluation of a pre-ESRD pay-for-performance programme in advanced chronic kidney disease patients. Nephrology Dialysis Transplantation 2017;32:1184-94. 22. Chen YR, Yang Y, Wang SC, et al. Effectiveness of multidisciplinary care for chronic kidney disease in Taiwan: a 3-year prospective cohort study. Nephrology Dialysis Transplantation 2013;28:671-82. 23. Lin CM, Yang MC, Hwang SJ, Sung JM. Progression of stages 3b-5 chronic kidney disease Preliminary results of Taiwan National Pre-ESRD Disease Management Program in Southern Taiwan. Journal of the Formosan Medical Association 2013;112:773-82. 24. Chen PM, Lai TS, Chen PY, et al. Multidisciplinary Care Program for Advanced Chronic Kidney Disease: Reduces Renal Replacement and Medical Costs. American Journal of Medicine 2015;128:68-76. 25. Eijkenaar F, Emmert M, Scheppach M, Schoffski O. Effects of pay for performance in health care: A systematic review of systematic reviews. Health Policy 2013;110:115-30. 26. Collister D, Pannu N, Ye F, et al. Health Care Costs Associated with AKI. Clinical Journal of the American Society of Nephrology 2017;12:1733-43. 27. Silver SA, Chertow GM. The Economic Consequences of Acute Kidney Injury. Nephron 2017;137:297-301. 28. Webster AC, Nagler EV, Morton RL, Masson P. Chronic kidney disease. Lancet 2017;389:1238-52. 29. Lysaght MJ. Maintenance dialysis population dynamics: Current trends and long-term implications. Journal of the American Society of Nephrology 2002;13:S37-S40. 30. Liyanage T, Ninomiya T, Jha V, et al. Worldwide access to treatment for end-stage kidney disease: a systematic review. Lancet 2015;385:1975-82. 31. Projections of mortality and causes of death, 2015 and 2030. World Health Organization. (Accessed 3 Dec, 2017, at http://www.who.int/healthinfo/global_burden_disease/projections/en/.) 32. Morton RL, Schlackow I, Mihaylova B, Staplin ND, Gray A, Cass A. The impact of social disadvantage in moderate-to-severe chronic kidney disease: an equity-focused systematic review. Nephrology Dialysis Transplantation 2016;31:46-56. 33. Razmaria AA. Chronic kidney disease. JAMA 2016;315:2248-. 34. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. Lancet 2005;365:217-23. 35. Keith DS, Nichols GA, Gullion CM, Brown JB, Smith DH. Longitudinal follow-up and outcomes among a population with chronic kidney disease in a large managed care organization. Archives of Internal Medicine 2004;164:659-63. 36. Couser WG. Chronic kidney disease - The promise and the perils. Journal of the American Society of Nephrology 2007;18:2803-5. 37. Jha V, Wang AYM, Wang HY. The impact of CKD identification in large countries: the burden of illness. Nephrology Dialysis Transplantation 2012;27:32-8. 38. Chiu YL, Chien KL, Lin SL, Chen YM, Tsai TJ, Wu KD. Outcomes of stage 3-5 chronic kidney disease before end-stage renal disease at a single center in Taiwan. Nephron Clinical Practice 2008;109:C109-C18. 39. Levey AS, Bosch JP, Lewis JB, et al. A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation. Annals of Internal Medicine 1999;130:461-+. 40. Cause of Death Statistics. Ministry of Health and Welfare, Taiwan. (Accessed 10 Dec, 2017, at https://dep.mohw.gov.tw/DOS/np-1776-113.html.) 41. Imai E, Horio M, Watanabe T, et al. Prevalence of chronic kidney disease in the Japanese general population. Clinical and Experimental Nephrology 2009;13:621-30. 42. Iseki K. Chronic kidney disease in Japan. Internal Medicine 2008;47:681-9. 43. Park JI, Baek H, Jung HH. Prevalence of Chronic Kidney Disease in Korea: the Korean National Health and Nutritional Examination Survey 2011-2013. Journal of Korean Medical Science 2016;31:915-23. 44. Singh NP, Ingle GK, Saini VK, et al. Prevalence of low glomerular filtration rate, proteinuria and associated risk factors in North India using Cockcroft-Gault and Modification of Diet in Renal Disease equation: an observational, cross-sectional study. Bmc Nephrology 2009;10. 45. Shankar A, Klein R, Klein BEK. The association among smoking, heavy drinking, and chronic kidney disease. American Journal of Epidemiology 2006;164:263-71. 46. Shankar A, Leng CL, Chia KS, et al. Association between body mass index and chronic kidney disease in men and women: population-based study of Malay adults in Singapore. Nephrology Dialysis Transplantation 2008;23:1910-8. 47. Chadban SJ, Briganti EM, Kerr PG, et al. Prevalence of kidney damage in Australian adults: The AusDiab Kidney Study. Journal of the American Society of Nephrology 2003;14:S131-S8. 48. Fox CS, Larson MG, Vasan RS, et al. Cross-sectional association of kidney function with valvular and annular calcification: The Framingham Heart Study. Journal of the American Society of Nephrology 2006;17:521-7. 49. Coresh J, Selvin E, Stevens LA, et al. Prevalence of chronic kidney disease in the United States. Jama-Journal of the American Medical Association 2007;298:2038-47. 50. Nitsch D, Dietrich DF, von Eckardstein A, et al. Prevalence of renal impairment and its association with cardiovascular risk factors in a general population: results of the Swiss SAPALDIA study. Nephrology Dialysis Transplantation 2006;21:935-44. 51. Hallan SI, Coresh J, Astor BC, et al. International comparison of the relationship of chronic kidney disease prevalence and ESRD risk. Journal of the American Society of Nephrology 2006;17:2275-84. 52. Australian Institute of Health and Welfare. Chronic kidney disease in Australia 2005: Canberra: Australian Institute of Health and Welfare.; 2005. 53. Economic impact of end-stage kidney disease in Australia. Melbourne: Kidney Health Australia, 2006. at http://www.kidney.org.au/.) 54. Nicholson T, Roderick P. International Study of Health Care Organization and Financing of renal services in England and Wales. International journal of health care finance and economics 2007;7:283-99. 55. Reutens AC, Atkins RC. Chronic kidney disease: the scope of the global problem. In: El-Nahas M, Levin A, eds. Chronic Kidney Disease: A practical guide to understanding and management: Oxford University Press; 2009:39-76. 56. Smith DH, Gullion CM, Nichols G, Keith DS, Brown JB. Cost of medical care for chronic kidney disease and comorbidity among enrollees in a large HMO population. Journal of the American Society of Nephrology 2004;15:1300-6. 57. United States Renal Data System. 2014 USRDS annual data report: Epidemiology of kidney disease in the United States. : National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD; 2014. 58. Couser WG, Remuzzi G, Mendis S, Tonelli M. The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney International 2011;80:1258-70. 59. Kidney Disease Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int suppl 2012;2(1):1-138. 60. Chertow GM, Burdick E, Honour M, Bonventre JV, Bates DW. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. Journal of the American Society of Nephrology 2005;16:3365-70. 61. National Health Insurance Statistical Annual Report 2015 National Health Insurance Administration, Ministry of Health and Welfare. 62. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002;39:S1-266. 63. Perico N, Remuzzi G. Chronic kidney disease: a research and public health priority. Nephrology Dialysis Transplantation 2012;27:19-26. 64. Bello AK, Levin A, Manns BJ, et al. Effective CKD Care in European Countries: Challenges and Opportunities for Health Policy. American Journal of Kidney Diseases 2015;65:15-25. 65. Fukuma S, Shimizu S, Niihata K, et al. Development of quality indicators for care of chronic kidney disease in the primary care setting using electronic health data: a RAND-modified Delphi method. Clin Exp Nephrol 2017;21:247-56. 66. Tsai WC, Wu HY, Peng YS, et al. Risk Factors for Development and Progression of Chronic Kidney Disease: A Systematic Review and Exploratory Meta-Analysis. Medicine (Baltimore) 2016;95:e3013. 67. Yang JY, Huang JW, Chen L, et al. Frequency of Early Predialysis Nephrology Care and Postdialysis Cardiovascular Events. Am J Kidney Dis 2017;70:164-72. 68. Crinson I, Gallagher H, Thomas N, de Lusignan S. How ready is general practice to improve quality in chronic kidney disease? A diagnostic analysis. British Journal of General Practice 2010;60:403-9. 69. Institute of Medicine Committee on Quality of Health Care in A. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington (DC)2001. 70. Weiner D, Watnick S. The ESRD Quality Incentive Program-Can We Bridge the Chasm? Journal of the American Society of Nephrology 2017;28:1697-706. 71. Van Herck P, De Smedt D, Annemans L, Remmen R, Rosenthal MB, Sermeus W. Systematic review: Effects, design choices, and context of pay-for-performance in health care. Bmc Health Services Research 2010;10. 72. Prescribing and Primary Care: Health and Social Care Information Centre. Quality and outcomes framework - prevalence, achievements and exceptions report. Leeds: Health and Social Care Information Centre; 2014. 73. Karunaratne K, Stevens P, Irving J, et al. The impact of pay for performance on the control of blood pressure in people with chronic kidney disease stage 3-5. Nephrology Dialysis Transplantation 2013;28:2107-16. 74. Share DA, Mason MH. INNOVATION PROFILE Michigan's Physician Group Incentive Program Offers A Regional Model For Incremental 'Fee For Value' Payment Reform. Health Affairs 2012;31:1993-2001. 75. Blue Cross Blue Shield of Michigan: Physician Group Incentive Program Chronic Kidney Disease Incentive. (Accessed 4 Jan, 2018, at https://www.bcbsm.com/pdf/fs_chronic_kidney_disease_pcmh.pdf.) 76. Inker LA, Astor BC, Fox CH, et al. KDOQI US Commentary on the 2012 KDIGO Clinical Practice Guideline for the Evaluation and Management of CKD. American Journal of Kidney Diseases 2014;63:713-35. 77. Naghavi M, Wang HD, Lozano R, et al. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015;385:117-71. 78. Otts JAA, Pearce PF, Langford CA. Effectiveness of pay-for-performance for chronic kidney disease patients on hemodialysis: a systematic review protocol. JBI database of systematic reviews and implementation reports 2017;15:1850-5. 79. Barth C. Quality Assurance in Dialysis in Germany. Dialysis & Transplantation 2010;39:404-5. 80. Kleophas W, Karaboyas A, Li Y, et al. Changes in dialysis treatment modalities during institution of flat rate reimbursement and quality assurance programs. Kidney Int 2013;84:578-84. 81. Swaminathan S, Mor V, Mehrotra R, Trivedi A. Medicare's Payment Strategy For End-Stage Renal Disease Now Embraces Bundled Payment And Pay-For-Performance To Cut Costs. Health Affairs 2012;31:2051-8. 82. Richards N, Harris K, Whitfield M, et al. Primary care-based disease management of chronic kidney disease (CKD), based on estimated glomerular filtration rate (eGFR) reporting, improves patient outcomes. Nephrology Dialysis Transplantation 2008;23:549-55. 83. Bayliss EA, Bhardwaja B, Ross C, Beck A, Lanese DM. Multidisciplinary Team Care May Slow the Rate of Decline in Renal Function. Clinical Journal of the American Society of Nephrology 2011;6:704-10. 84. Scherpbier-de Haan ND, Vervoort GMM, van Weel C, et al. Effect of shared care on blood pressure in patients with chronic kidney disease: a cluster randomised controlled trial. British Journal of General Practice 2013;63:E798-E806. 85. Howard K, White S, Salkeld G, et al. Cost-Effectiveness of Screening and Optimal Management for Diabetes, Hypertension, and Chronic Kidney Disease: A Modeled Analysis. Value in Health 2010;13:196-208. 86. Adarkwah CC, Evers S, Akkerman M, Gandjour A. COST-EFFECTIVENESS OF ANGIOTENSIN CONVERTING ENZYME INHIBITORS FOR THE PREVENTION OF DIABETIC NEPHROPATHY IN THE NETHERLANDS - A MARKOV MODEL. Value in Health 2011;14:A480-A. 87. Sutton AJ, Breheny K, Deeks J, et al. Methods Used in Economic Evaluations of Chronic Kidney Disease Testing - A Systematic Review. Plos One 2015;10. 88. Humphreys J, Harvey G, Hegarty J. Improving CKD Diagnosis and Blood Pressure Control in Primary Care: A Tailored Multifaceted Quality Improvement Programme. Nephron Extra 2017;7:18-32. 89. Chronic Kidney Disease Prevention. 2015. (Accessed 0927, 2015, at http://www.nhi.gov.tw/webdata/webdata.aspx?menu=17&menu_id=1027&webdata_id=4565.) 90. Niu S-F, Wu C-K, Chuang N-C, Yang Y-B, Chang T-H. Early Chronic Kidney Disease Care Programme delays kidney function deterioration in patients with stage I-IIIa chronic kidney disease: an observational cohort study in Taiwan. BMJ open 2021;11:e041210-e. 91. Husereau D, Drummond M, Petrou S, et al. Consolidated Health Economic Evaluation Reporting Standards (CHEERS)-Explanation and Elaboration: A Report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force. Value in Health 2013;16:231-50. 92. Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the Economic Evaluation of Health Care Programmes: Oxford University Press; 2015. 93. Hoch JS, Rockx MA, Krahn AD. Using the net benefit regression framework to construct cost-effectiveness acceptability curves: an example using data from a trial of external loop recorders versus Holter monitoring for ambulatory monitoring of 'community acquired' syncope. Bmc Health Services Research 2006;6. 94. Gray A, Clarke PM, Wolstenholme JL, Wordsworth S. Applied Methods of Cost-effectiveness Analysis in Healthcare: Oxford University Press; 2010. 95. Trend of Service Volume at the Chang Gung Medical Foundation. (Accessed 11 Mar, 2018, at https://www.cgmh.org.tw/cgmh/about/about_04.htm.) 96. Wu HY, Fukuma S, Shimizu S, et al. Effects of Higher Quality of Care on Initiation of Long-term Dialysis in Patients With CKD and Diabetes. American Journal of Kidney Diseases 2017;70:666-74. 97. Deyo RA, Cherkin DC, Ciol MA. ADAPTING A CLINICAL COMORBIDITY INDEX FOR USE WITH ICD-9-CM ADMINISTRATIVE DATABASES. Journal of Clinical Epidemiology 1992;45:613-9. 98. Charlson ME, Pompei P, Ales KL, Mackenzie CR. A NEW METHOD OF CLASSIFYING PROGNOSTIC CO-MORBIDITY IN LONGITUDINAL-STUDIES - DEVELOPMENT AND VALIDATION. Journal of Chronic Diseases 1987;40:373-83. 99. Parsons LS. Performing a 1:N Case-Control Match on Propensity Score. 29th annual SAS Users Group International2004. 100. Normand ST, Landrum MB, Guadagnoli E, et al. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores. J Clin Epidemiol 2001;54:387-98. 101. Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med 2009;28:3083-107. 102. Mullahy J. Specification and testing of some modified count data models. Journal of Econometrics 1986;33:341-65. 103. Levey AS, Coresh J, Greene T, et al. Expressing the modification of diet in renal disease study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem 2007;53:766-72. 104. Levey AS, Coresh J, Greene T, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Annals of Internal Medicine 2006;145:247-54. 105. Stevens LA, Manzi J, Levey AS, et al. Impact of creatinine calibration on performance of GFR estimating equations in a pooled individual patient database. American Journal of Kidney Diseases 2007;50:21-35. 106. Huang CLC, Wu MP, Ho CH, Wang O. Risks of treated anxiety, depression, and insomnia among nurses: A nationwide longitudinal cohort study. Plos One 2018;13. 107. Lin MY, Cheng LJ, Chiu YW, et al. Effect of national pre-ESRD care program on expenditures and mortality in incident dialysis patients: A population-based study. Plos One 2018;13. 108. Schardt C, Adams MB, Owens T, Keitz S, Fontelo P. Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Med Inform Decis Mak 2007;7:16. 109. Statistical Abstract of National Income Directorate-General of Budget, Accounting and Statistics, Executive Yuan, Taiwan. (Accessed 26 Mar, 2018, at https://www.dgbas.gov.tw/ct.asp?xItem=33338&ctNode=3099&mp=1.) 110. Hsieh HM, Shin SJ, Tsai SL, Chiu HC. Effectiveness of Pay-for-Performance Incentive Designs on Diabetes Care. Medical Care 2016;55:1063-9. 111. Chen Y-C, Weng S-F, Hsu Y-J, Wei C-J, Chiu C-h. Continuity of care: evaluating a multidisciplinary care model for people with early CKD via a nationwide population-based longitudinal study. BMJ Open 2020;10. 112. Yen SM, Kung PT, Sheen YJ, Chiu LT, Xu XC, Tsai WC. Factors Related to Continuing Care and Interruption of P4P Program Participation in Patients With Diabetes. Am J Manag Care 2016;22:E18-E30. 113. Campbell SM, Reeves D, Kontopantelis E, Sibbald B, Roland M. Effects of Pay for Performance on the Quality of Primary Care in England. N Engl J Med 2009;361:368-78. 114. 2018 Annual Report on Kidney Disease in Taiwan: National Health Research Institutes and Taiwan Society of Nephrology; 2019. 115. Ogundeji YK, Bland JM, Sheldon TA. The effectiveness of payment for performance in health care: A meta-analysis and exploration of variation in outcomes. Health Policy 2016;120:1141-50. 116. Martin B, Jones J, Miller M, Johnson-Koenke R. Health Care Professionals' Perceptions of Pay-for-Performance in Practice: A Qualitative Metasynthesis. Inquiry-J Health Care Organ Provis Financ 2020;57:17. 117. Morshed S, Tornetta P, 3rd, Bhandari M. Analysis of observational studies: a guide to understanding statistical methods. The Journal of bone and joint surgery American volume 2009;91 Suppl 3:50-60. 118. Mendelson A, Kondo K, Damberg C, et al. The Effects of Pay-for-Performance Programs on Health, Health Care Use, and Processes of Care: A Systematic Review. Ann Intern Med 2017;166:341-53. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/85324 | - |
| dc.description.abstract | 背景 慢性腎臟病之防治與照護為世界各國公共衛生界所關注之重要議題,而對台灣的醫療照護體系來說,提供治療與照護予逐年攀升的慢性腎臟病病患,更是極沉重的財務負擔。健保署分別於2006年與2011年推動「末期腎臟病前期之病人照護與衛教計畫」以及「初期慢性腎臟病醫療給付改善方案」,期望透過支付制度的設計來增進病患照護結果,進而減輕健保的醫療與財務壓力。本研究欲評估上述兩計畫於臨床面與醫療成本面的中長期成效。 研究方法 利用長庚醫療體系2008-2017去識別化的電子醫療資料,本研究以回溯性世代研究配對設計,探討接受論質計酬Early CKD或Pre-ESRD的18歲以上成年慢性腎臟病病患之臨床效果與成本效益。針對兩論質計酬計畫之主要研究終點 – 「疾病惡化」及「腎臟替代治療」,透過cause-specific hazard regression model估計計畫介入之校正後風險比值及其95%信賴區間。本研究另針對重要次族群執行次族群分析。在Early CKD方案的成本分析部份,利用Wilcoxon rank-sum test 檢視醫療費用的組間差異,再進一步透過two-part model估計每位病患的校正後花費;本研究亦計算加入Early CKD方案之遞增成本效果比值及net monetary benefit,並繪製成本效果可接受曲線。 研究結果 Early CKD方案的五年分析結果顯示,介入組病患較對照組病患呈現出39%較低機率之疾病惡化發生風險(CS-HR: 0.61, 95% CI: 0.58 – 0.64, p < 0.0001),且整體醫療花費較介入組低。除此之外,研究結果亦指出Early CKD方案與「糖尿病醫療給付改善方案」具加成作用。針對Pre-ESRD計畫的十年分析結果則發現介入組與對照組病患接受腎臟替代治療之風險無顯著差異;不過,該計畫可顯著降低病患全因死亡之風險(CS-HR: 0.62, 95% CI: 0.45 – 0.85, p = 0.0029)。此外,病患對兩方案的順從狀況佳。 結論 本研究結果顯示Early CKD方案不僅有效降低病患的疾病惡化,更可節省成本。Pre-ESRD計畫雖未能降低病患進入腎臟替代治療之狀況,卻可顯著降低病患死亡之風險。本研究結果呼應全球因應CKD防治的策略趨勢 - 由ESRD之治療,轉至更積極的初段與次段預防,並同時提升CKD之照護品質,以改善CKD病患之健康成效。 | zh_TW |
| dc.description.abstract | Background The public health systems around the world have deemed the management of chronic kidney disease (CKD) a critical issue. In Taiwan, the increasing prevalence of CKD has brought a heavy financial burden to the healthcare system. To improve healthcare outcomes and furthermore relieve the finaicial burden, the National Health Insurance Administration (NHIA) of Taiwan launched a countrywide Pre-ESRD (end-stage renal disease) pay-for-performance (P4P) program in 2006 and later an Early CKD P4P program in 2011. This study aimed to examine the mid-term and long-term effects of these two programs from clinical and financial perspectives. Methods Matched cohort studies were conducted using the electronic medical records from a large healthcare delivery system in Taiwan. The primary outcomes of interest included CKD progression and renal replacement therapy (RRT). The cause-specific hazard regression model was adopted to estimate the hazard in the P4P group as compared to non-P4P group. Subgroup analyses were also performed. Wilcoxon rank-sum test was used to compare the between-group differences in healthcare costs, and a two-part model was applied to estimate the adjusted annual costs for Early CKD patients. The study also calculated the incremental cost-effectiveness ratio (ICER) and net monetary benefit of participating in the Early CKD program. In addition, the cost-effectiveness acceptability curve (CEAC) was plotted. Results The 5-year follow-up of the Early CKD cohort demonstrated a 39% (CS-HR: 0.61, 95% CI: 0.58 – 0.64, p < 0.0001) reduced risk of CKD progression and less healthcare spending for P4P program enrolees. The results of the subgroup analysis further revealed an additive effect of the Early CKD program and diabetes P4P program on CKD progression. The 10-year follow-up of the pre-ESRD cohort did not find differences in terms of risk of RRT between P4P program enrolees and non-enrolees. Nevertheless, the risk of mortality was significantly lower in the P4P group (CS-HR: 0.62, 95% CI: 0.45 – 0.85, p = 0.0029). Patients showed good adherence to both P4P programs. Conclusion The present study results suggest that the Early CKD P4P program is not only superior to usual care to decelerate CKD progression but cost-saving. The Pre-ESRD P4P program, although not found to lower the risk of RRT, showed to reduce patients’ mortality. The study results echo the worldwide trend to shift the focus from the treatment of ESRD to more proactive primary and secondary prevention strategies while improving the quality of CKD care. | en |
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| dc.description.tableofcontents | 口試委員會審定書 ii 誌謝 iii 中文摘要 iv 英文摘要 v 第一章 緒論 1 第一節 研究背景及動機 1 第二節 研究目的 3 第二章 文獻探討 4 第一節 慢性腎臟病之流行病學特性與經濟負擔 4 第二節 國際上慢性腎臟病介入與論質計酬制度之成效 11 第三節 台灣慢性腎臟醫療品質改善方案與成效 17 第四節 經濟評估方法 26 第五節 研究啟示及知識缺口 29 第三章 研究方法 30 第一節 研究設計與資料來源 30 第二節 慢性腎臟病患之篩選 30 第三節 評估初期與末期腎臟病前期照護成效之臨床指標 42 第四節 初期慢性腎臟病醫療給付改善方案之成本分析及成本效益評估方法 44 第五節 統計分析方法 45 第四章 研究結果 53 第一節 初期慢性腎臟病醫療給付改善方案成效分析 53 第二節 末期腎臟病前期之病人照護與衛教計畫成效分析 68 第三節 初期慢性腎臟病醫療給付改善方案成效之延伸分析 84 第五章 研究討論 86 第一節 初期慢性腎臟病醫療給付改善方案成效分析 86 第二節 末期腎臟病前期之病人照護與衛教計畫成效分析 89 第三節 研究限制 94 第六章 結論與建議 95 參考文獻 96 附錄 106 | |
| dc.language.iso | zh-TW | |
| dc.subject | 醫療給付改善方案 | zh_TW |
| dc.subject | 電子醫療資料 | zh_TW |
| dc.subject | 經濟評估 | zh_TW |
| dc.subject | 世代研究 | zh_TW |
| dc.subject | 慢性腎臟病 | zh_TW |
| dc.subject | Economic evaluation | en |
| dc.subject | Pay-for-performance | en |
| dc.subject | Chronic kidney disease | en |
| dc.subject | Cohort study | en |
| dc.subject | Electronic medical records | en |
| dc.title | 全民健康保險慢性腎臟病醫療給付改善方案之效果與經濟評估 | zh_TW |
| dc.title | Outcome and Economic Evaluation of the National Health Insurance Pay-for-Performance Program for Chronic Kidney Disease | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 李建德(Chien-Te Lee),湯澡薰(Chao-Hsiun Tang),楊銘欽(Ming-Chin Yang),董鈺琪(Yu-Chi Tung) | |
| dc.subject.keyword | 醫療給付改善方案,慢性腎臟病,世代研究,電子醫療資料,經濟評估, | zh_TW |
| dc.subject.keyword | Pay-for-performance,Chronic kidney disease,Cohort study,Electronic medical records,Economic evaluation, | en |
| dc.relation.page | 111 | |
| dc.identifier.doi | 10.6342/NTU202201741 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2022-07-27 | |
| 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 |
| dc.date.embargo-lift | 2022-10-03 | - |
| 顯示於系所單位: | 健康政策與管理研究所 | |
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