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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 謝清麟(Ching-Lin Hsieh) | |
| dc.contributor.author | Yu-Wei Hsieh | en |
| dc.contributor.author | 謝妤葳 | zh_TW |
| dc.date.accessioned | 2021-06-13T17:25:09Z | - |
| dc.date.available | 2005-01-28 | |
| dc.date.copyright | 2005-01-28 | |
| dc.date.issued | 2005 | |
| dc.date.submitted | 2005-01-25 | |
| dc.identifier.citation | Agrell, B., & Dehlin, O. (2000). Mini mental state examination in geriatric stroke patients. Validity, differences between subgroups of patients, and relationships to somatic and mental variables. Aging (Milano), 12(6), 439-444.
Anderson, C., Laubscher, S., & Burns, R. (1996). Validation of the short form 36 (sf-36) health survey questionnaire among stroke patients. Stroke, 27(10), 1812-1816. Beaton, D. E., Boers, M., & Wells, G. A. (2002). Many faces of the minimal clinically important difference (mcid): A literature review and directions for future research. Current Opinion in Rheumatology, 14(2), 109-114. Beaton, D. E., Bombardier, C., Katz, J. N., Wright, J. G., Wells, G., Boers, M., et al. (2001). Looking for important change/differences in studies of responsiveness. Omeract mcid working group. Outcome measures in rheumatology. Minimal clinically important difference. Journal of Rheumatology, 28(2), 400-405. Blake, H., McKinney, M., Treece, K., Lee, E., & Lincoln, N. B. (2002). An evaluation of screening measures for cognitive impairment after stroke. Age and Ageing, 31(6), 451-456. Brealey, S. (2004). Measuring patient health status in rheumatoid arthritis -- what is a minimal clinically important difference? Journal of Rheumatology, 31(6), 1026-1028. Cella, D., Eton, D. T., Fairclough, D. L., Bonomi, P., Heyes, A. E., Silberman, C., et al. (2002). What is a clinically meaningful change on the functional assessment of cancer therapy-lung (fact-l) questionnaire? Results from eastern cooperative oncology group (ecog) study 5592. Journal of Clinical Epidemiology, 55(3), 285-295. Cella, D., Eton, D. T., Lai, J. S., Peterman, A. H., & Merkel, D. E. (2002). Combining anchor and distribution-based methods to derive minimal clinically important differences on the functional assessment of cancer therapy (fact) anemia and fatigue scales. Journal of Pain and Symptom Management, 24(6), 547-561. Clark, M. S., Rubenach, S., & Winsor, A. (2003). A randomized controlled trial of an education and counselling intervention for families after stroke. Clinical Rehabilitation, 17(7), 703-712. Cohen, J. (1988). Statistical power analysis for the behavior sciences (2nd ed.). New York: Academic Press. Cohen, M. E., & Marino, R. J. (2000). The tools of disability outcomes research functional status measures. Archives of Physical Medicine and Rehabilitation, 81(12 Suppl 2), S21-29. Collin, C., Wade, D. T., Davies, S., & Horne, V. (1988). The barthel adl index: A reliability study. International Disability Studies, 10(2), 61-63. Crosby, R. D., Kolotkin, R. L., & Williams, G. R. (2003). Defining clinically meaningful change in health-related quality of life. Journal of Clinical Epidemiology, 56(5), 395-407. D'Olhaberriague, L., Litvan, I., Mitsias, P., & Mansbach, H. H. (1996). A reappraisal of reliability and validity studies in stroke. Stroke, 27(12), 2331-2336. Deyo, R. A., Diehr, P., & Patrick, D. L. (1991). Reproducibility and responsiveness of health status measures. Statistics and strategies for evaluation. Controlled Clinical Trials, 12(4 Suppl), 142S-158S. Dorman, P., Slattery, J., Farrell, B., Dennis, M., & Sandercock, P. (1998). Qualitative comparison of the reliability of health status assessments with the euroqol and sf-36 questionnaires after stroke. United kingdom collaborators in the international stroke trial. Stroke, 29(1), 63-68. Duncan, P. W., Wallace, D., Lai, S. M., Johnson, D., Embretson, S., & Laster, L. J. (1999). The stroke impact scale version 2.0. Evaluation of reliability, validity, and sensitivity to change. Stroke, 30(10), 2131-2140. Eton, D. T., Cella, D., Yost, K. J., Yount, S. E., Peterman, A. H., Neuberg, D. S., et al. (2004). A combination of distribution- and anchor-based approaches determined minimally important differences (mids) for four endpoints in a breast cancer scale. Journal of Clinical Epidemiology, 57(9), 898-910. Fayers, P. M., & Machin, D. (2000). Quality of life: Assessment, analysis and interpretation. Chichester: John Wiley & Sons. Feys, H., De Weerdt, W., Verbeke, G., Steck, G. C., Capiau, C., Kiekens, C., et al. (2004). Early and repetitive stimulation of the arm can substantially improve the long-term outcome after stroke: A 5-year follow-up study of a randomized trial. Stroke, 35(4), 924-929. Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). 'mini-mental state'. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189-198. Grace, J., Nadler, J. D., White, D. A., Guilmette, T. J., Giuliano, A. J., Monsch, A. U., et al. (1995). Folstein vs modified mini-mental state examination in geriatric stroke. Stability, validity, and screening utility. Archives of Neurology, 52(5), 477-484. Green, J., Forster, A., & Young, J. (2001). A test-retest reliability study of the barthel index, the rivermead mobility index, the nottingham extended activities of daily living scale and the frenchay activities index in stroke patients. Disability and Rehabilitation, 23(15), 670-676. Gresham, G. E., Phillips, T. F., & Labi, M. L. (1980). Adl status in stroke: Relative merits of three standard indexes. Archives of Physical Medicine and Rehabilitation, 61(8), 355-358. Guo, N. W., Liu, H. C., Wong, P. F., Liao, K. K., Yan, S. H., Lin, K. P., et al. (1988). Chinese version and norms of the mini- mental state examination. Journal of Rehabilitation Medicine Association, 16, 52-59. Guyatt, G., Walter, S., & Norman, G. (1987). Measuring change over time: Assessing the usefulness of evaluative instruments. Journal of Chronic Diseases, 40(2), 171-178. Guyatt, G. H., Bombardier, C., & Tugwell, P. X. (1986). Measuring disease-specific quality of life in clinical trials. CMAJ: Canadian Medical Association journal, 134(8), 889-895. Guyatt, G. H., Townsend, M., Berman, L. B., & Keller, J. L. (1987). A comparison of likert and visual analogue scales for measuring change in function. Journal of Chronic Diseases, 40(12), 1129-1133. Hachisuka, K., Okazaki, T., & Ogata, H. (1997). Self-rating barthel index compatible with the original barthel index and the functional independence measure motor score. Journal of University of Occupational and Environmental Health, 19(2), 107-121. Hagg, O., Fritzell, P., & Nordwall, A. (2003). The clinical importance of changes in outcome scores after treatment for chronic low back pain. European Spine Journal, 12(1), 12-20; discussion 21. Hawkes, W. G., Williams, G. R., Zimmerman, S., Lapuerta, P., Li, T., Orwig, D., et al. (2004). A clinically meaningful difference was generated for a performance measure of recovery from hip fracture. Journal of Clinical Epidemiology, 57(10), 1019-1024. Hays, R. D., & Woolley, J. M. (2000). The concept of clinically meaningful difference in health-related quality-of-life research. How meaningful is it? Pharmacoeconomics, 18(5), 419-423. Hobart, J. C., Lamping, D. L., Freeman, J. A., Langdon, D. W., McLellan, D. L., Greenwood, R. J., et al. (2001). Evidence-based measurement: Which disability scale for neurologic rehabilitation? Neurology, 57(4), 639-644. Hsueh, I. P., Lee, M. M., & Hsieh, C. L. (2001). Psychometric characteristics of the barthel activities of daily living index in stroke patients. Journal of Formosan Medical Association, 100(8), 526-532. Hsueh, I. P., Lin, J. H., Jeng, J. S., & Hsieh, C. L. (2002). Comparison of the psychometric characteristics of the functional independence measure, 5 item barthel index, and 10 item barthel index in patients with stroke. Journal of Neurology, Neurosurgery and Psychiatry, 73(2), 188-190. Idler, E. L., & Angel, R. J. (1990). Self-rated health and mortality in the nhanes-i epidemiologic follow-up study. American Journal of Public Health, 80(4), 446-452. Iyer, L. V., Haley, S. M., Watkins, M. P., & Dumas, H. M. (2003). Establishing minimal clinically important differences for scores on the pediatric evaluation of disability inventory for inpatient rehabilitation. Physical Therapy, 83(10), 888-898. Jacobson, N. S., Follette, W. C., Revenstorf, D., Baucom, D. H., Hahlweg, K., & Margolin, G. (1984). Variability in outcome and clinical significance of behavioral marital therapy: A reanalysis of outcome data. Journal of Consulting and Clinical Psychology, 52(4), 497-504. Jacobson, N. S., & Truax, P. (1991). Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology, 59(1), 12-19. Jaeschke, R., Singer, J., & Guyatt, G. H. (1989). Measurement of health status. Ascertaining the minimal clinically important difference. Controlled Clinical Trials, 10(4), 407-415. Juniper, E. F., Guyatt, G. H., Willan, A., & Griffith, L. E. (1994). Determining a minimal important change in a disease-specific quality of life questionnaire. Journal of Clinical Epidemiology, 47(1), 81-87. Kelleher, C. J., Pleil, A. M., Reese, P. R., Burgess, S. M., & Brodish, P. H. (2004). How much is enough and who says so? BJOG : an international journal of obstetrics and gynaecology, 111(6), 605-612. Kolotkin, R. L., Crosby, R. D., & Williams, G. R. (2002). Intergrating anchor-based and distribution-based methods to determine clinically meaningful change in obesity-specific quality of life. Quality of Life Research, 11, 670. Liang, M. H., Larson, M. G., Cullen, K. E., & Schwartz, J. A. (1985). Comparative measurement efficiency and sensitivity of five health status instruments for arthritis research. Arthritis and Rheumatism, 28(5), 542-547. Loewen, S. C., & Anderson, B. A. (1988). Reliability of the modified motor assessment scale and the barthel index. Physical Therapy, 68(7), 1077-1081. Lydick, E., & Epstein, R. S. (1993). Interpretation of quality of life changes. Quality of Life Research, 2(3), 221-226. Mahoney, F. I., & Barthel, D. W. (1965). Functional evaluation: The barthel index. Maryland State Medical Journal, 14, 61-65. Man-Son-Hing, M., Laupacis, A., O'Connor, A., Wells, G., Lemelin, J., Wood, W., et al. (1996). Warfarin for atrial fibrillation. The patient's perspective. Archives of Internal Medicine, 156(16), 1841-1848. McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30-46. McHorney, C. A., & Tarlov, A. R. (1995). Individual-patient monitoring in clinical practice: Are available health status surveys adequate? Quality of Life Research, 4(4), 293-307. McLeod, L. D., Fehnel, S. E., Brandman, J., & Symonds, T. (2003). Evaluating minimal clinically important differences for the acne-specific quality of life questionnaire. Pharmacoeconomics, 21(15), 1069-1079. Mossey, J. M., & Shapiro, E. (1982). Self-rated health: A predictor of mortality among the elderly. American Journal of Public Health, 72(8), 800-808. Norman, G. R., Sridhar, F. G., Guyatt, G. H., & Walter, S. D. (2001). Relation of distribution- and anchor-based approaches in interpretation of changes in health-related quality of life. Medical Care, 39(10), 1039-1047. Norquist, J. M., Fitzpatrick, R., & Jenkinson, C. (2004). Health-related quality of life in amyotrophic lateral sclerosis: Determining a meaningful deterioration. Quality of Life Research, 13(8), 1409-1414. Nunnally, J., & Bernstein, I. (1994). Psychometric theory. New York, NY: McGraw Hill. Osoba, D., Rodrigues, G., Myles, J., Zee, B., & Pater, J. (1998). Interpreting the significance of changes in health-related quality-of-life scores. Journal of Clinical Oncology, 16(1), 139-144. Ottenbacher, K. J., Johnson, M. B., & Hojem, M. (1988). The significance of clinical change and clinical change of significance: Issues and methods. American Journal of Occupational Therapy, 42(3), 156-163. Podolsky. (1992). New weapons that might defeat stroke. US News and World Report, 112, 66-73. Quinn, J. V., & Wells, G. A. (1998). An assessment of clinical wound evaluation scales. Academic Emergency Medicine, 5(6), 583-586. Redelmeier, D. A., Guyatt, G. H., & Goldstein, R. S. (1996). Assessing the minimal important difference in symptoms: A comparison of two techniques. Journal of Clinical Epidemiology, 49(11), 1215-1219. Samsa, G., Edelman, D., Rothman, M. L., Williams, G. R., Lipscomb, J., & Matchar, D. (1999). Determining clinically important differences in health status measures: A general approach with illustration to the health utilities index mark ii. Pharmacoeconomics, 15(2), 141-155. Schmitt, J. S., & Di Fabio, R. P. (2004). Reliable change and minimum important difference (mid) proportions facilitated group responsiveness comparisons using individual threshold criteria. Journal of Clinical Epidemiology, 57(10), 1008-1018. Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420-428. Singer, A. J., & Thode, H. C., Jr. (1998). Determination of the minimal clinically significant difference on a patient visual analog satisfaction scale. Academic Emergency Medicine, 5(10), 1007-1011. Stratford, P. W., Binkley, J., Solomon, P., Finch, E., Gill, C., & Moreland, J. (1996). Defining the minimum level of detectable change for the roland-morris questionnaire. Physical Therapy, 76(4), 359-365; discussion 366-358. Stratford, P. W., Binkley, J. M., Riddle, D. L., & Guyatt, G. H. (1998). Sensitivity to change of the roland-morris back pain questionnaire: Part 1. Physical Therapy, 78(11), 1186-1196. Testa, M. A., & Lenderking, W. R. (1992). Interpreting pharmacoeconomic and quality-of-life clinical trial data for use in therapeutics. Pharmacoeconomics, 2(2), 107-117. Tombaugh, T. N., & McIntyre, N. J. (1992). The mini-mental state examination: A comprehensive review. Journal of the American Geriatrics Society, 40(9), 922-935. Turner-Stokes, L., & Rusconi, S. (2003). Screening for ability to complete a questionnaire: A preliminary evaluation of the abilityq and shoulderq for assessing shoulder pain in stroke patients. Clinical Rehabilitation, 17(2), 150-157. van Bennekom, C. A., Jelles, F., Lankhorst, G. J., & Bouter, L. M. (1996). Responsiveness of the rehabilitation activities profile and the barthel index. Journal of Clinical Epidemiology, 49(1), 39-44. van Walraven, C., Mahon, J. L., Moher, D., Bohm, C., & Laupacis, A. (1999). Surveying physicians to determine the minimal important difference: Implications for sample-size calculation. Journal of Clinical Epidemiology, 52(8), 717-723. Ware, J. E., Jr., Manning, W. G., Jr., Duan, N., Wells, K. B., & Newhouse, J. P. (1984). Health status and the use of outpatient mental health services. American Psychologist, 39(10), 1090-1100. Williams, L. S., Weinberger, M., Harris, L. E., Clark, D. O., & Biller, J. (1999). Development of a stroke-specific quality of life scale. Stroke, 30(7), 1362-1369. Wolfe, C. D., Taub, N. A., Woodrow, E. J., & Burney, P. G. (1991). Assessment of scales of disability and handicap for stroke patients. Stroke, 22(10), 1242-1244. Wright, J. G. (1996). The minimal important difference: Who's to say what is important? Journal of Clinical Epidemiology, 49(11), 1221-1222. Wyrwich, K. W. (2004). Minimal important difference thresholds and the standard error of measurement: Is there a connection? Journal of Biopharmaceutical Statistics, 14(1), 97-110. Wyrwich, K. W., Nienaber, N. A., Tierney, W. M., & Wolinsky, F. D. (1999). Linking clinical relevance and statistical significance in evaluating intra-individual changes in health-related quality of life. Medical Care, 37(5), 469-478. Wyrwich, K. W., Tierney, W. M., & Wolinsky, F. D. (1999). Further evidence supporting an sem-based criterion for identifying meaningful intra-individual changes in health-related quality of life. Journal of Clinical Epidemiology, 52(9), 861-873. Wyrwich, K. W., Tierney, W. M., & Wolinsky, F. D. (2002). Using the standard error of measurement to identify important changes on the asthma quality of life questionnaire. Quality of Life Research, 11(1), 1-7. Xu, G., Meyer, J. S., Huang, Y., Du, F., Chowdhury, M., & Quach, M. (2003). Adapting mini-mental state examination for dementia screening among illiterate or minimally educated elderly chinese. International Journal of Geriatric Psychiatry, 18(7), 609-616. Yen, M., & Lo, L. H. (2002). Examining test-retest reliability: An intra-class correlation approach. Nursing Research, 51(1), 59-62. Zisapel, N., & Nir, T. (2003). Determination of the minimal clinically significant difference on a patient visual analog sleep quality scale. Journal of Sleep Research, 12(4), 291-298. Zwecker, M., Levenkrohn, S., Fleisig, Y., Zeilig, G., Ohry, A., & Adunsky, A. (2002). Mini-mental state examination, cognitive fim instrument, and the loewenstein occupational therapy cognitive assessment: Relation to functional outcome of stroke patients. Archives of Physical Medicine and Rehabilitation, 83(3), 342-345. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/39270 | - |
| dc.description.abstract | 背景與目的:決定評量工具之最小臨床重要差異值(minimal clinically important difference, MCID)可幫助研究人員和臨床工作者判斷分數的改變是否達到臨床上重要的差異,以及協助解釋分數改變的意義。巴氏量表(Barthel Index, BI)是一廣泛運用於中風病人,評量其日常生活功能的量表,但目前BI量表的MCID值仍然未知,造成不易解釋BI量表分數改變的意義及應用。故此研究的目的是決定BI量表在中風病人的MCID值。
方法:此研究分成兩個部分:第一部份是追蹤研究,收集30位中風病人,以兩種病人自評方式分別估計BI量表的MCID值。第一種是在初評及再評時使用20公分之視覺類比計分表(20-cm visual analogue scale)讓病人自評日常生活功能狀態;第二種是在再評時使用15點李克氏量表(15-point Likert scale)讓病人自評日常生活功能改變情形。再由自評結果被歸為MCID組別的個案之BI量表分數改變量的平均值做為MCID的估計值,共產生兩個MCID估計值;第二部份是再測信度研究,收集56位慢性期中風病人,估計BI量表的再測信度係數值,以計算BI量表之測量標準誤(standard error of measurement),並以測量標準誤做為第三個MCID估計值。前述三個估計值中,以最大的估計值做為BI量表之MCID值。 結果:在追蹤研究中,因為在視覺類比計分表和李克氏量表的自評結果被歸為具有MCID組別的個案,其在BI量表分數改變量差異大且樣本數少,故改採用分數改變量之中位數做為MCID估計值。30位病人中有8位在視覺類比計分表的自評結果歸為具有MCID的組別,產生第一個MCID估計值為2分。另外,30位病人中有14位在李克氏量表的自評結果歸為具有MCID的組別,產生第二個MCID估計值為1分。再測信度研究中估計出BI量表之測量標準誤,產生第三個MCID估計值為1.63分。因此,2分為BI量表在中風病人的MCID值。 結論:此BI量表的MCID值2分可幫助研究者解釋同一組中風病人在BI量表上的改變量以及不同組別間的差異量是否達到臨床上重要改變或差異,以協助臨床試驗或成效研究結果的解釋。而此MCID值2分亦可幫助臨床工作者判斷同一位中風病人在BI量表上的改變量以及不同病人之間的差異量是否達到最小臨床重要改變或差異,以協助相關臨床決策的制定或調整。 | zh_TW |
| dc.description.abstract | Background and purpose: The minimal clinically important difference (MCID) of an instrument helps both researchers and clinicians determine whether the change scores achieve clinically important differences. However, the MCID of the Barthel Index (BI) was still unknown, which limited the application and interpretation of the change scores of the BI. Therefore, we aimed to determine the MCID of the BI in stroke patients.
Methods: There were two parts of this study. First, 30 stroke inpatients participated in the follow-up study designed to determine the MCID of the BI with two anchor-based methods (using patients’ global ratings on the 20-cm visual analogue scale (VAS) and on the 15-pint Likert scale). The mean change scores on the BI of the MCID group based on the patients’ ratings on the VAS and the Likert scale, respectively, served as two estimates of the MICD. In the second part, 56 chronic stroke patients participated in the test-retest reliability study to determine the MCID of the BI with a distribution-based method. One standard error of measurement (SEM) served as the third estimate for the MCID. The largest MCID value of the three aforementioned estimates was suggested as the MCID of the BI. Results: In the follow-up study, the medians of BI change scores of the MCID group based on the VAS and the Likert scale served as two MCID estimates due to the large variation of the BI change scores and the small sample size of the MCID group. There were 8 patients in the MCID group that was based on scoring on the VAS, and the first MCID estimate was 2 points. There were 14 patients in the MCID group that was based on scoring on the Likert scale, and the second MCID estimate was 1 point. In the test-retest reliability study, the SEM was 1.63 points. Therefore, the MCID of the BI in stroke patients was found to be 2 points. Conclusion: The MCID of 2 points helps researchers determine whether the mean BI change/difference within/between stroke groups has reached the MCID, which is useful in explaining the results of the clinical trials or outcome studies. The value of 2 points also helps clinicians to determine whether the change/difference scores within/between individual stroke patients have reached clinically important change/difference and to make clinical decisions. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T17:25:09Z (GMT). No. of bitstreams: 1 ntu-94-R92429008-1.pdf: 655325 bytes, checksum: a2f5a38e90361b7fb67f3c1fd2a888a8 (MD5) Previous issue date: 2005 | en |
| dc.description.tableofcontents | Abstract...Ⅰ
中文摘要...Ⅲ Table of Contents...Ⅴ List of Tables...Ⅷ List of Figures...Ⅸ Introduction...1 Background...1 Introduction to the MCID...2 The importance of the MCID...3 The methods for determining the MCID...5 The anchor-based approaches...5 The distribution-based approaches...10 Other approach...14 Summary of the methods for determining the MCID...14 The importance of determining the MCID of the BI in stroke patients...15 The purpose of this study...16 Methods...17 Subjects...17 Procedures...18 Instruments...20 Data analysis...23 Results...25 Follow-up study (two anchor-based methods)...25 Sample description...25 Patients’global ratings on the 20-cm VAS to estimate the MCID...26 Patients’global ratings on the 15-point Likert scale to estimate the MCID...28 Test-retest reliability study (a distribution-based method)...29 Sample description...29 Using standard error of measurement (SEM) to estimate the MCID...30 Summary of the results...30 Discussion...31 The implications of the MCID of the BI...31 The strengths of this study...35 The limitations of this study...37 The methodological issues that remain to be addressed...40 Recommendations for further studies...44 Conclusions...45 References...46 Tables...60 Figures...66 Appendices...75 Appendix 1 Informed consent...75 Appendix 2 Barthel Index...76 Appendix 3 Mini-Mental State Examination...77 Appendix 4 20-cm VAS...78 Appendix 5 15-point Likert scale...81 | |
| dc.language.iso | en | |
| dc.subject | 中風 | zh_TW |
| dc.subject | 最小臨床重要差異值 | zh_TW |
| dc.subject | 巴氏量表 | zh_TW |
| dc.subject | Barthel Index | en |
| dc.subject | stroke | en |
| dc.subject | minimal clinically important difference | en |
| dc.title | 巴氏量表在中風患者之最小臨床重要差異值探討 | zh_TW |
| dc.title | Determining Minimal Clinically Important Difference of the Barthel Index in Stroke Patients | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 93-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳保中(Pau-Chung Chen),吳淑瓊(Shwu-Chong Wu) | |
| dc.subject.keyword | 巴氏量表,中風,最小臨床重要差異值, | zh_TW |
| dc.subject.keyword | minimal clinically important difference,Barthel Index,stroke, | en |
| dc.relation.page | 82 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2005-01-25 | |
| dc.contributor.author-college | 醫學院 | zh_TW |
| dc.contributor.author-dept | 職能治療研究所 | zh_TW |
| 顯示於系所單位: | 職能治療學系 | |
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