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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 薛漪平(I-Ping Hsueh) | |
dc.contributor.author | Tzu-Ting Chen | en |
dc.contributor.author | 陳姿廷 | zh_TW |
dc.date.accessioned | 2021-06-17T02:11:15Z | - |
dc.date.available | 2018-02-22 | |
dc.date.copyright | 2018-02-22 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-01-17 | |
dc.identifier.citation | 喬慧燕、薛漪平、古佳苓、陳蕙君、謝清麟(一)2015)。常用於中風研究的五種注意力測驗之心理計量特性比較。台灣復健醫學雜誌,35(2),65-72。doi: 10.6315/2007.35(2)01
王乙婷、何美慧(2003)。自我教導策略增進ADHD兒童持續性注意力之效果。特殊教育學報,18,21-54。 林鋐宇、張文典、洪福源(2011)。注意力的神經生理機制。身心障礙研究季刊,9(2),123-134。 陳佳琳、施益湋、李士捷、林恭宏、蔡沛潔、謝清麟(2017)。降低電腦化數字警醒測驗應用於中風患者之隨機測量誤差:初步研究。職能治療學會雜誌,35(1),97-110。doi: 10.6594/JTOTA.2017.35(1).05 陳湘淳、蔣文祁(2011)注意力控制在工作記憶發展中的角色。應用心理研究,52,95-127。 薛漪平、鄭振聲(2016)。腦中風之職能治療。載於薛漪平(主編),生理疾病職能治療學:III 臨床實務應用。台灣:禾楓書局。 謝清麟、陳官琳(2016)。評估的基本概念。載於薛漪平(主編),生理疾病職能治療學:I 評估理論與技巧。台灣:禾楓書局。 衛生福利部統計處(2016)。民國103年死因統計年報。取自http://www.mohw.gov.tw/cht/DOS/Statistic.aspx?f_list_no=312&fod_list_no=5488 劉劦庭(2013)。台灣腦血管疾病患者職能治療使用及費用分析(碩士論文)。取自http://hdl.handle.net/11296/tg6zmz 陳蕙君(2008)。日常注意力測驗應用於中風個案之心理計量特性驗證(碩士論文)。取自取自華藝線上圖書館。(系統編號U0001-2307200812483700) 邱弘毅(2008)。腦中風之現況與流行病學特徵。腦中風學會會訊。15(3),2-4。 張席熒、謝妤葳、薛漪平、謝清麟(2006)。日常生活活動功能評量之四十年回顧。台灣復健醫學雜誌。34,63-71。doi: 10.6315/2006.34(2)01 林昭宏、柴惠敏、廖龍仁、黃昭郎、陳美汀、廖小瑤(2014)。社區居民腦中風患者日常生活活動和生活品質的調查研究。物理治療期刊。28(5), 243-250。 Atkinson, G., & Nevill, A. M. (1998). Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med, 26(4), 217-238. doi: 10.2165/00007256-199826040-00002 Ballard, J. C. (1996). Computerized assessment of sustained attention: a review of factors affecting vigilance performance. J Clin Exp Neuropsychol, 18(6), 843-863. doi: 10.1080/01688639608408307 Barak, S., & Duncan, P. W. (2006). Issues in selecting outcome measures to assess functional recovery after stroke. NeuroRx, 3(4), 505-524. doi: 10.1016/j.nurx.2006.07.009 Barker-Collo, S. L., Feigin, V. L., Lawes, C. M. M., Parag, V., Senior, H., & Rodgers, A. (2009). Reducing attention deficits after stroke using attention process training. Stroke, 40(10), 3293-3298. doi: 10.1161/STROKEAHA.109.558239 Beaton, D. E., Bombardier, C., Katz, J. N., Wright, J. G., Wells, G., Boers, M., . . . Shea, B. (2001). Looking for important change/differences in studies of responsiveness. J Rheumatol, 28(2), 400-405. Beckerman, H., Roebroeck, M. E., Lankhorst, G. J., Becher, J. G., Bezemer, P. D., & Verbeek, A. L. (2001). Smallest real difference, a link between reproducibility and responsiveness. Qual Life Res, 10(7), 571-578. Brown, T. (2010). Construct validity: A unitary concept for occupational therapy assessment and measurement. Hong Kong Journal of Occupational Therapy, 20(1), 30-42. doi: 10.1016/S1569-1861(10)70056-5 Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol Bull, 56(2), 81-105. doi: 10.1037/h0046016 Chaytor, N., & Schmitter-Edgecombe, M. (2003). The ecological validity of neuropsychological tests: a review of the literature on everyday cognitive skills. Neuropsychol Rev, 13(4), 181-197. doi: 10.1023/B:NERV.0000009483.91468.fb Chaytor, N., Temkin, N., Machamer, J., & Dikmen, S. (2007). The ecological validity of neuropsychological assessment and the role of depressive symptoms in moderate to severe traumatic brain injury. J Int Neuropsychol Soc, 13(3), 377-385. doi:10.1017/S1355617707070592 Chen, H. C. (2008). The psychometric Properties of the Test of Everyday Attention (TEA) for Persons with Stroke. (master thesis ). Available from airiti Library. (U0001-2307200812483700) Chen, H. C., Koh, C. L., Hsieh, C. L., & Hsueh, I. P. (2009). Test–re-test reliability of two sustained attention tests in persons with chronic stroke. Brain injury, 23(9), 715-722. doi: 10.1080/02699050903013602 Chen, K. L., Chen, C. T., Chou, Y. T., Shih, C. L., Koh, C. L., & Hsieh, C. L. (2014). Is the long form of the Fugl-Meyer motor scale more responsive than the short form in patients with stroke? Archives of Physical Medicine and Rehabilitation, 95, 941-949. doi: 10.1016/j.apmr.2014.01.014 Christensen, J. E., & Christensen, C. E. (1977). Statistical power analysis of health, physical education, and recreation research. Res Q, 48(1), 204-208. doi: 10.1080/10671315.1977.10762173 Cohen, R. A. (1993). Attentional control: subcortical and frontal lobe influences. In R. A. Cohen (Ed.), The neuropsychology ofattention. New York: Plenum. Collin, C., Wade, D. T., Davies, S., & Horne, V. (1988). The Barthel ADL Index: a reliability study. Int Disabil Stud, 10(2), 61-63. doi: 0.3109/09638288809164103 Dinges, D. F., Pack, F., Williams, K., Gillen, K. A., Powell, J. W., Ott, G. E., . . . Pack, A. I. (1997). Cumulative sleepiness, mood disturbance, and psychomotor vigilance performance decrements during a week of sleep restricted to 4-5 hours per night. Sleep, 20(4), 267-277. doi: 10.1093/sleep/20.4.267 Dinges, D. F., & Powell, J. W. (1985). Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations. Behavior Research Methods, 17(6), 652-655. Donovan, N. J., Kendall, D. L., Heaton, S. C., Kwon, S., Velozo, C. A., & Duncan, P. W. (2008). Conceptualizing functional cognition in stroke. Neurorehabil Neural Repair, 22(2), 122-135. doi:10.1177/1545968307306239 Doran, S. M., Van Dongen, H. P., & Dinges, D. F. (2001). Sustained attention performance during sleep deprivation: evidence of state instability. Arch Ital Biol, 139(3), 253-267. Dorrian, J., Rogers, N. L., Dinges, D. F., & Kushida, C. A. (2005). Psychomotor vigilance performance: Neurocognitive assay sensitive to sleep loss. Sleep deprivation: clinical issues, pharmacology and sleep loss effects. New York: Marcel Dekker, Inc. Fernandez-Duque, D., & Posner, M. I. (2001). Brain imaging of attentional networks in normal and pathological states. J Clin Exp Neuropsychol, 23(1), 74-93. doi:10.1076/jcen.23.1.74.1217 Ful, J. L., Wang, S. J., Larson, E. B., Liu, H. C. Prevalence of stroke in Kinmen. Stroke 1996;27:1338-41. doi: 10.1161/01.STR.27.8.1338 Fuh, J. L., Wang, S. J., Liu, H. C., Shyu, H. Y. Incidence of stroke on Kinmen, Taiwan. Neuroepidemiology 2000;19:258-64.doi: 10.1159/000026263 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. Disabil Rehabil, 23(15), 670-676. Harvill, L. M. (1991). Standard error of measurement. Educational Measurement: issues and practice., 10(2), 33-41. Helton, W. S. (2009). Impulsive responding and the sustained attention to response task. J Clin Exp Neuropsychol, 31(1), 39-47. doi:10.1080/13803390801978856 Hobart, J. C., Lamping, D. L., & Thompson, A. J. (1996). Evaluating neurological outcome measures: the bare essentials. J Neurol Neurosurg Psychiatry, 60(2), 127-130. doi: 10.1136/jnnp.60.2.127 Hochstenbach, J. B., den Otter, R., & Mulder, T. W. (2003). Cognitive recovery after stroke: a 2-year follow-up. Arch Phys Med Rehabil, 84(10), 1499-1504. Hsieh, F. I., & Chiou, H. Y. (2014). Stroke: morbidity, risk factors, and care in taiwan. J Stroke, 16(2), 59-64. doi: 10.5853/jos.2014.16.2.59 Hsueh, I. P., Chen, K. L., Chou, Y. T., Wang, Y. H., & Hsieh, C. L. (2013). Individual-level responsiveness of the original and short-form postural assessment scale for stroke patients. Phys Ther, 93(10), 1377-1382. doi:10.2522/ptj.20130042 Hsueh, I. P., Lee, M. M., & Hsieh, C. L. (2001). Psychometric characteristics of the Barthel activities of daily living index in stroke patients. J Formos Med Assoc, 100(8), 526-532. Hsueh, I. P., Mao, H. F., Huang, H. L., & Hsieh, C. L. (2001). Clinical applications of balance measures in stroke patients. Formosan Journal of Medicine, 5(3), 261-268. doi: 10.6320/FJM.2001.5(3).02 Hu, H. H., Chu, F. L., Chiang, B. N., Lan, C. F. Sheng, W. Y., Lo, Y. K., Wong, W. J., & Luk,Y. O. (1989). Prevalence of stroke in Taiwan. Stroke, 20(7), 858-863. doi: 10.1161/01.STR.20.7.858 Hu, H. H., Sheng, W. Y., Chu, F. L., Lan, C. F., & Chiang, B. N. (1992). Incidence of stroke in Taiwan. Stroke, 23(9), 1237-1241. doi: 10.1161/01.STR.23.9.1237 Huang, Y. J., Chen, K. L., Chou, Y. T., Hsueh, I. P., Hou, C. Y., & Hsieh, C. L. (2015). Comparison of the responsiveness of the long-form and simplified stroke rehabilitation assessment of movement: group- and individual-level analysis. Physical Therapy, 95(8), 1172-1183. doi: 10.2522/ptj.20140331 Huang, Z. S., Chiang, T. L., & Lee, T. K. (1997). Stroke prevalence in Taiwan. Stroke, 28(8), 1579-1584. Husted, J. A., Cook, R. J., Farewell, V. T., & Gladman, D. D. (2000). Methods for assessing responsiveness: a critical review and recommendations. J Clin Epidemiol, 53(5), 459-468. Hyndman, D., & Ashburn, A. (2003). People with stroke living in the community: Attention deficits, balance, ADL ability and falls. Disabil Rehabil, 25(15), 817-822. doi:10.1080/0963828031000122221 Hyndman, D., Pickering, R. M., & Ashburn, A. (2008). The influence of attention deficits on functional recovery post stroke during the first 12 months after discharge from hospital. J Neurol Neurosurg Psychiatry, 79(6), 656-663. doi:10.1136/jnnp.2007.125609 Johnson, K. A., Kelly, S. P., Bellgrove, M. A., Barry, E., Cox, M., Gill, M., & Robertson, I. H. (2007). Response variability in attention deficit hyperactivity disorder: evidence for neuropsychological heterogeneity. Neuropsychologia, 45(4), 630-638. doi:10.1016/j.neuropsychologia.2006.03.034 Jung, C. M., Ronda, J. M., Czeisler, C. A., & Wright, K. P., Jr. (2011). Comparison of sustained attention assessed by auditory and visual psychomotor vigilance tasks prior to and during sleep deprivation. J Sleep Res, 20(2), 348-355. doi:10.1111/j.1365-2869.2010.00877.x Kelland, D. Z., & Lewis, R. F. (1994). Evaluation of the reliability and validity of the Repeatable Cognitive-Perceptual-Motor Battery. The Clinical Neuropsychologist, 8(3), 295-308. doi: 10.1080/13854049408404136 Khitrov, M. Y., Laxminarayan, S., Thorsley, D., Ramakrishnan, S., Rajaraman, S., Wesensten, N. J., & Reifman, J. (2014). PC-PVT: a platform for psychomotor vigilance task testing, analysis, and prediction. Behav Res Methods, 46(1), 140-147. doi:10.3758/s13428-013-0339-9 Kline, P. (2014). The New Psychometrics: Science, Psychology and Measurement. New York: Taylor & Francis. Koo, K. I., Park, D. K., & Hwang, C. H. (2017). Feasibility and Neurobehavioral Changes of 10-Day Simulated Microgravity in Acute Ischemic Stroke Patients. American journal of physical medicine & rehabilitation, 96(11), 838-842. doi: 10.1097/PHM.0000000000000765 Kolt, G. S., & Snyder-Mackler, L. (Eds.). (2007). Physical Therapies in Sport and Exercise. (2nd ed.). Edinburgh: Churchill Livingstone. Lawrence, N. S., Ross, T. J., Hoffmann, R., Garavan, H., & Stein, E. A. (2003). Multiple neuronal networks mediate sustained attention. Journal of cognitive neuroscience, 15(7), 1028-1038. doi: 10.1162/089892903770007416 Lazar, R. M., & Festa, J. R. (2009). Neurovascular Neuropsychology. New York: Springer Science & Business Media. Lee, Y. C., Chen, S. S., Koh, C. L., Hsueh, I. P., Yao, K. P., & Hsieh, C. L. (2014). Development of two Barthel Index-based Supplementary Scales for patients with stroke. PLoS One, 9(10), e110494. doi:10.1371/journal.pone.0110494 Lewis, R. F. (1995). Digit vigilance test. FL: Psychological Assessment Resources. Liao, C. C., Li, T. C., Lin, R. S., & Sung, F. C. (2006). Urban and rural difference in prevalence and incidence of stroke in 2000 in Taiwan. Taiwan Journal of Public Health, 25(3), 223-230. doi: 10.6288/TJPH2006-25-03-06 Lim, J., & Dinges, D. F. (2008). Sleep deprivation and vigilant attention. Ann N Y Acad Sci, 1129, 305-322. doi:10.1196/annals.1417.002 Lin, H. C., Lin, Y. J., Liu, T. C., Chen, C. S., & Chiu, W. T. (2007). Urbanization and stroke prevalence in Taiwan: analysis of a nationwide survey. Journal of urban health, 84(4), 604-614. doi: 10.1007/s11524-007-9195-1 Loetscher, T., & Lincoln, N. B. (2013). Cognitive rehabilitation for attention deficits following stroke. Cochrane Database of Systematic Reviews, 5, CD002842. doi:10.1002/14651858.CD002842.pub2 Lin, G. H., Wu, C. T., Huang, Y. J., Lin, P., Chou, C. Y., Lee, S. C., & Hsieh, C. L. (2017). A Reliable and Valid Assessment of Sustained Attention for Patients With Schizophrenia: The Computerized Digit Vigilance Test. Archives of Clinical Neuropsychology. 1-11. doi: 10.1093/arclin/acx064 Lin, G. H., Lu, Y., Wu, C. T., Chiu, E. C., Huang, S. L., Hsueh, I. P., & Hsieh, C. L. (2016). Psychometric properties of the Five-Digit Test in patients with stroke. Disability and rehabilitation, 38(1), 97-102. doi: 10.3109/09638288.2015.1031288 Melara, R. D. (2004), The cognitive neuroscience of attention, In A. Johnson and R. Proctor (Eds.), Attention: Theory and practice, 333-365, Thousand Oaks, CA: Sage Publications. Mitrushina, M. N., Boone, K. B., Razani, J., & D'Elia, L. (2005). Handbook of normative data for neuropsychological assessment (2nd ed.). New York: Oxford University Press. Parasuraman, R., Warm, J. S., & See, J. E. (1998). Brain systems of vigilance. Cambridge: MIT Press. Pardo, J. V., Fox, P. T., & Raichle, M. E. (1991). Localization of a human system for sustained attention by positron emission tomography. Nature, 349(6304), 61-64. doi: 10.1038/349061a0 Paus, T., Zatorre, R. J., Hofle, N., Caramanos, Z., Gotman, J., Petrides, M., & Evans, A. C. (1997). Time-related changes in neural systems underlying attention and arousal during the performance of an auditory vigilance task. Journal of cognitive neuroscience, 9(3), 392-408. doi: 10.1162/jocn.1997.9.3.392 Portney, L. G., & Watkins, M. P. (2000). Foundations of clinical research: applications to practice (2nd ed). Upper Saddle River, NJ: Prentice Hall Health. Posner, M. I. (Ed.). (2011). Cognitive neuroscience of attention. NY: Guilford Press. Posner, M. I., & DiGirolamo, G. J. (1998). Executive attention: Conflict, target detection, and cognitive control. In R. Parasuraman (Ed.), The attentive brain (pp. 401-423). Cambridge, MA: The MIT Press.. Posner, M. I., & Petersen, S. E. (1990a). The attention system of the human brain. Annual review of neuroscience, 13(1), 25-42. doi: 10.1146/annurev.ne.13.030190.000325 Posner, M. I., & Petersen, S. E. (1990b). The attention system of the human brain. Annu Rev Neurosci, 13, 25-42. doi:10.1146/annurev.ne.13.030190.000325 Quinn, T. J., Dawson, J., Walters, M. R., & Lees, K. R. (2009). Functional outcome measures in contemporary stroke trials. Int J Stroke, 4(3), 200-205. doi:10.1111/j.1747-4949.2009.00271.x Ryan, C. M., Bayley, M., Green, R., Murray, B. J., & Bradley, T. D. (2011). Influence of continuous positive airway pressure on outcomes of rehabilitation in stroke patients with obstructive sleep apnea. Stroke, STROKEAHA-110. doi: 10.1007/s11325-010-0436-2 Robertson, I. H., Ward, T., Ridgeway, V., & Nimmo-Smith, I. (1994). The test of everyday attention (TEA). San Antonio, TX: Psychological Corporation. Robertson, I. H., Manly, T., Andrade, J., Baddeley, B., & Yiend, J. (1997). Oops!': performance correlates of everyday attentional failures in traumatic brain injured and normal subjects. Neuropsychologia, 35(6), 747-758. doi: 10.1016/S0028-3932(97)00015-8 Robertson, I. H., Ward, T., Ridgeway, V., & Nimmo-Smith, I. (1996). The structure of normal human attention: The Test of Everyday Attention. J Int Neuropsychol Soc, 2(6), 525-534. doi: 10.1017/S1355617700001697 Prince, B., Makrides, L., & Richman, J. (1980). Research methodology and applied statistics. Part 2: the literature search. Physiotherapy Canada. Physiotherapie Canada, 32(4), 201-206. Rooney, K. J. (1993). Classroom interventions for students with attention deficit disorders. Focus on Exceptional Children, 26(4), 1-16. Sacco, R. L., Kasner, S. E., Broderick, J. P., Caplan, L. R., Connors, J. J., Culebras, A., ... Vinters, H. V. (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), 2064-2089. doi:10.1161/STR.0b013e318296aeca Safrit, M. J., & Wood, T. M. (Eds.). (1989). Measurement concepts in physical education and exercise science. Champaign, IL: Human Kinetics Books. Sakai, H., Uchiyama, Y., Shin, D., Hayashi, M. J., & Sadato, N. (2013). Neural activity changes associated with impulsive responding in the sustained attention to response task. PLoS One, 8(6), e67391. doi:10.1371/journal.pone.0067391 Seli, P., Jonker, T. R., Solman, G. J., Cheyne, J. A., & Smilek, D. (2013). A methodological note on evaluating performance in a sustained-attention-to-response task. Behav Res Methods, 45(2), 355-363. doi:10.3758/s13428-012-0266-1 Scrivener, K., Sherrington, C., & Schurr, K. (2013). A systematic review of the responsiveness of lower limb physical performance measures in inpatient care after stroke. BMC neurology, 13(1), 4. doi: 10.1186/1471-2377-13-4 Shalev, N., Humphreys, G., & Demeyere, N. (2016). Assessing the temporal aspects of attention and its correlates in aging and chronic stroke patients. Neuropsychologia, 92, 59-68. doi:10.1016/j.neuropsychologia.2016.08.001 Salter K, Jutai JW, Teasell R, Foley, N. C., & Bitensky, J. Issues for selection of outcome measures in stroke rehabilitation: ICF Body Functions. Disabil Rehabil 2005;27(4):191-207. doi: 10.1080/09638280400008537 Smilek, D., Carriere, J. S., & Cheyne, J. A. (2010). Failures of sustained attention in life, lab, and brain: ecological validity of the SART. Neuropsychologia, 48(9), 2564-2570. doi:10.1016/j.neuropsychologia.2010.05.002 Smits-Bandstra, S. (2010). Methodological considerations in the measurement of reaction time in persons who stutter. Journal of Fluency Disorders, 35(1), 19-32. doi: 10.1016/j.jfludis.2009.12.002 Sohlberg, M. M., & Mateer, C. A. (2001). Cognitive rehabilitation : an integrative neuropsychological approach. New York: Guilford Press. Sohlberg, M. M., McLaughlin, K. A., Pavese, A., Heidrich, A., & Posner, M. I. (2000). Evaluation of attention process training and brain injury education in persons with acquired brain injury. Journal of clinical and experimental neuropsychology, 22(5), 656-676. doi: 10.1076/1380-3395(200010)22:5;1-9;FT656 Stapleton, T., Ashburn, A., & Stack, E. (2001). A pilot study of attention deficits, balance control and falls in the subacute stage following stroke. Clin Rehabil, 15(4), 437-444. doi:10.1191/026921501678310243 Sturm, W. (1996). Evaluation in therapeutical contexts: attentional and neglect disorders. Eur Rev Appl Psychol, 46, 207-214. Stuss, D. T., & Benson, D. F. (1984). Neuropsychological studies of the frontal lobes. Psychological bulletin, 95(1), 3-28. doi:10.1037/0033-2909.95.1.3 Tupper, D. E., & Cicerone, K. D. (1990). The neuropsychology of everyday life: Assessment and basic competencies. US: Springer. van der Heide, A., van Schie, M. K., Lammers, G. J., Dauvilliers, Y., Arnulf, I., Mayer, G., . . . van Dijk, J. G. (2015). Comparing Treatment Effect Measurements in Narcolepsy: The Sustained Attention to Response Task, Epworth Sleepiness Scale and Maintenance of Wakefulness Test. Sleep, 38(7), 1051-1058. doi:10.5665/sleep.4810 Wade, D. T. (1992). Measurement in neurological rehabilitation. Curr Opin Neurol Neurosurg, 5(5), 682-686. doi: 10.1016/S0031-9406(10)60484-1 Warm, J. S. (Ed.). (1984). Sustained attention in human performance. New York: John Wiley & Sons. Whyte, J. (1992). Attention and arousal: basic science aspects. Arch Phys Med Rehabil, 73(10), 940-949. Wade, D. T., Hewer, L. R. (1987) Functional abilities after stroke: measurement, natural history and prognosis. J Neurol Neurosurg Psychiatry, 50(2), 177-82. doi: 10.1136/jnnp.50.2.177 Wicks-Nelson, R., & Israel, A. C. (2000). Behavior disorders of childhood (4th ed). Saddle River, NJ: Prentice Hall. Wilson, K. M., Finkbeiner, K. M., de Joux, N. R., Russell, P. N., & Helton, W. S. (2016). Go-stimuli proportion influences response strategy in a sustained attention to response task. Exp Brain Res, 234(10), 2989-2998. doi:10.1007/s00221-016-4701-x World Health Organization. (1978). Cerebrovascular disorders : a clinical and research classification: Geneva : World Health Organization. World Health Organization. (2017, March 20). Re: Health topics: Stroke, Cerebrovascular accident [Web blog message]. Retrieved from http://www.who.int/topics/cerebrovascular_accident/en/ Yang, C. M., Lin, G. H., Chen, M. H., Hsueh, I. P., & Hsieh, C. L. (2015). Development of a computerized Digit Vigilance Test and validation in patients with stroke. J Rehabil Med, 47(4), 311-317. doi:10.2340/16501977-1945 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68014 | - |
dc.description.abstract | 背景:電腦化數字警醒測驗(computerized Digit Vigilance Test, C-DVT)可方便、有效地評估中風患者之持續性注意力,於慢性中風患者具良好的再測信度、同時效度及生態效度。然而測量結果之有效性易受樣本不同而改變,C-DVT於亞急性中風患者是否具有良好的生態效度、預測效度及反應性仍未知,因此限制此測驗於亞急性中風患者之適用性與臨床及研究之使用價值。
目的:本研究欲驗證C-DVT於亞急性中風患者的效度(含生態效度、預測效度)及反應性(含團體層級、個別層級),以期確認此測驗之心理計量特性及實用價值。 方法:招募60位亞急性中風患者,於住院二週內完成前測,再間隔一至三週完成後測,二次施測內容相同,包含C-DVT測驗、巴氏量表(Barthel Index, BI)及巴氏量表-補充量表(BI-based Supplementary Scales, BI-SS)的執行能力量表(Ability Scale)。生態效度分析C-DVT與BI、執行能力量表分數前後測結果之相關性;預測效度則分析C-DVT前測與BI、執行能力量表後測分數之相關性。團體層級反應性以配對t檢定(paired t-test)檢驗C-DVT前、後測之平均分數是否達統計顯著差異,再以標準化平均反應值(standardized response mean, SRM)呈現二次測驗平均分數的差異程度;個別層級反應性依據改變分數進退步及是否超過最小可偵測差異值(minimal detectable change, MDC)將患者分成四組,呈現各組人數比例,以驗證C-DVT是否具備個別層級之反應性。後續分析不同施測間隔下(<14天、≥14天)的反應性,團體層級反應性以配對t檢定二組前、後測之平均分數是否達統計顯著差異,並以SRM呈現差異程度,使用拔靴法(bootstraps)分析二組SRM是否具有顯著差異。個別層級反應性則先計算各組的人數比例後,以邊際同質性檢定(marginal homogeneity test)檢驗不同施測間隔下各組的人數比例是否具有顯著差異,再依據各組人數比例計算其合併標準差(pooled standard deviation),以z檢定及各組比例95% CI (confidence interval)檢驗相同組別之患者人數比例差異是否顯著。 結果:共49位患者參與此研究(33位男性),平均年齡56歲。生態效度結果顯示,C-DVT與BI、執行能力量表之前後測分數達中度相關(ρ = 0.43 ~ 0.59)。預測效度方面,C-DVT前測與BI、執行能力量表後測分數達低到中度相關(ρ = 0.39 ~ 0.51)。團體層級反應性分析顯示C-DVT於前、後測之平均分數達顯著差異,SRM為0.31。個別層級反應性之分析結果,32.7%的患者C-DVT呈現進步達顯著程度。分二組之團體層級反應性結果顯示,配對t檢定<14天組C-DVT前後測之平均分數沒有顯著差異,不具有反應性(SRM = -0.05);≥14天組C-DVT前後測之平均分數呈現顯著差異,且具有中度之效應值(SRM = 0.74),拔靴法結果顯示<14天與≥14天二組SRM的95% CI不重疊,具有顯著差異。分二組之個別層級反應性結果,<14天、≥14天組分別有21.7%、42.3%患者分數進步達統計顯著,邊際同質性檢定發現<14天、≥14天的二組人數比例分配無顯著差異,比較相同組別人數比例差異也未達統計顯著。 結論:C-DVT於亞急性中風患者具備良好的生態效度及預測效度,可接受的團體層級與個別層級反應性,可幫助臨床及研究人員推論亞急性中風患者ADL之表現與能力、預測出院時ADL功能,以及了解團體及個別患者持續性注意力功能之改變。 | zh_TW |
dc.description.abstract | Background: Computerized Digit Vigilance Test (C-DVT) can be used to assess sustained attention of patients with stroke conveniently and efficiently. The test–retest reliability, concurrent validity and ecological validity of the C-DVT are sufficient in patients with chronic stroke. However, such positive findings can not be assumed for patients with subacute stroke because psychometric properties are population dependent. Thus, the psychometric properties of the C-DVT in patients with subacute stroke remain unknown.
Purposes: To examine validity (including ecological validity and predictive validity) and responsiveness (including group-level responsiveness and individual-level responsiveness) of the C-DVT in patients with subacute stroke. Methods: We recruited 60 patients with subacute stroke who were admitted to rehabilitation ward. This study contained two assessment sessions with 1to 3-week interval. The first assessment session was completed within two weeks after admission, and the second assessment session was completed whin two weeks before discharge. Subjects were evaluated by the C-DVT, Barthel Index (BI) and BI-based Supplementary Scales (BI-SS)-Ability Scale in both sessions. Researcher examined the ecological validity of C-DVT using Spearman's ρ to analyze the association between the scores of the C-DVT and both the BI and Ability Scale at the same session. The predictive validity using Spearman's ρ to examine the association between the scores of the C-DVT at admission and BI and Ability Scale at discharge. Researcher examined the group-level responsiveness using paired t-test and standardized response mean (SRM). The individual-level responsiveness was examined by the percentages of patients in the 4 categories (significant improvement, nonsignificant improvement, nonsignificant worsening and significant worsening), which was divided into on the basis of the value of minimal detectable change (MDC). In addition, researcher divided patients into 2 groups according to the assessment intervals (<14-days and ≥14-days) for analyzing the responsiveness of the C-DVT. The group-level responsiveness of the 2 groups was examined using paired t-test and SRM, and then researcher compared SRM of the 2 groups using the bootstrap approach. The individual-level responsiveness of the 2 groups was examined by the proportions of patients in the 4 categories. Then, researcher used marginal homogeneity test to examine the distributions of 4 categories of the 2 groups, calculated pooled standard deviation of proportions and used Z-test and proportions 95% CI of each proportions to exmined difference of proportion in the same category of the 2 groups. Results: 49 patients participated in this study. The C-DVT scores were moderately correlated with the scores of the BI and Ability Scale (ρ = 0.43 ~ 0.59), supporting the ecological validity. Low to moderate association (ρ = 0.39 ~ 0.51) between the scores of the C-DVT at admission and the scores of the BI and Ability Scale at discharge was found, supporting the predictive validity. The group-level responsiveness of C-DVT presented small SRM (0.31) and a significant difference (p = 0.034) between admission and discharge. The individual-level responsiveness of C-DVT showed 32.7% patients in the category of significant improvement. The group-level responsiveness of the <14-days group presented a little SRM (-0.05) and no significant difference, but the ≥14-days group presented moderate SRM (0.74) and a significant difference. The bootstrap analysis showed that SRM of the 2 group was significant difference. The results of individual-level responsiveness of the 2 groups was found 21.7% patients of <14-days group and 42.3% patients of ≥14-days group were in the category of significant improvement. In the 2 groups, the distributions of 4 categories were not significant different. The difference of proportions in the same category of the 2 groups was not statistically significant. Conclusion: The C-DVT has good ecological validity and predictive validity, and acceptable group-level responsiveness and individual-level responsiveness in patients with subacute stroke. These findings support the result of C-DVT can be inferred the patient’s ADL performance and ability, and predicted patient’s ADL function at discharge. The C-DVT also can be an ideal outcome measure to understand the changes of patient’s sustained attention for clinical professionals and researchers. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T02:11:15Z (GMT). No. of bitstreams: 1 ntu-107-R05429005-1.pdf: 2103125 bytes, checksum: 38c1d5f60d775764dcaf86cf181e9bda (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | 第一章、中風 1
第一節、中風定義與分類 1 第二節、台灣中風的流行病學 2 第三節、中風的臨床症狀 3 第四節、中風患者的注意力問題 4 第二章、持續性注意力 5 第一節、注意力之定義與模式介紹 5 第二節、持續性注意力之定義 6 第三節、持續性注意力之神經心理機制 7 第四節、持續性注意力受損對患者的影響與重要性 8 第五節、持續性注意力評估工具所需具備的心理計量特性 9 一、信度 9 二、效度 10 三、反應性 12 第六節、常用持續性注意力評估工具介紹與評析 12 第三章、研究目的與預期結果 21 第一節、研究目的 21 第二節、預期結果 21 第四章、研究方法 23 第一節、研究對象 23 第二節、評估流程 23 一、篩選個案 23 二、施測流程 23 第三節、評估工具 23 一、C-DVT 23 二、巴氏量表 24 三、巴氏量表補充量表—執行能力量表 25 第四節、資料分析 25 一、人口學變項 25 二、效度 26 三、反應性 26 第五章、研究結果 29 第一節、樣本來源、人數與受試者作答情形 29 第二節、樣本人口學特性 29 第三節、C-DVT分數分布情形 30 第四節、效度結果 30 一、生態效度 30 二、預測效度 30 第五節、反應性結果 30 一、團體層級反應性 30 二、個別層級反應性 30 第六節、分組反應性結果 31 一、分組團體層級反應性 31 二、分組個別層級反應性 31 第六章、討論 32 第一節、生態效度 32 第二節、預測效度 32 第三節、團體層級反應性 33 第四節、個別層級反應性 34 第五節、研究限制 35 第七章、總結與建議 37 第一節、總結 37 第二節、未來研究建議 37 圖 39 表 45 參考文獻 59 附錄一 電腦化數字警醒測驗評估手冊 69 附錄二 巴氏量表與巴氏補充量表 73 附錄三 巴氏量表評估手冊 74 附錄四 巴氏補充量表—執行能力量表評估手冊 78 | |
dc.language.iso | zh-TW | |
dc.title | 電腦化數字警醒測驗於中風患者之效度與反應性驗證 | zh_TW |
dc.title | Validity and Responsiveness of the Computerized Digit Vigilance Test in patients with stroke | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 謝清麟(Ching-Lin Hsieh),黃小玲(Sheau-Ling Huang) | |
dc.subject.keyword | 中風,持續性注意力,效度,反應性, | zh_TW |
dc.subject.keyword | stroke,sustained attention,validity,responsiveness, | en |
dc.relation.page | 82 | |
dc.identifier.doi | 10.6342/NTU201800073 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-01-18 | |
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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