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  1. NTU Theses and Dissertations Repository
  2. 公共衛生學院
  3. 流行病學與預防醫學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5250
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dc.contributor.advisor簡國龍(Kuo-Liong Chien)
dc.contributor.authorShiau-Fu Hsiehen
dc.contributor.author謝曉芙zh_TW
dc.date.accessioned2021-05-15T17:54:21Z-
dc.date.available2014-12-31
dc.date.available2021-05-15T17:54:21Z-
dc.date.copyright2014-10-20
dc.date.issued2014
dc.date.submitted2014-07-25
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12. Sandstrom R, Mokler PJ and Hoppe KM. Discharge destination and motor function outcome in severe stroke as measured by the functional independence measure/function-related group classification system. Archives of physical medicine and rehabilitation. 1998;79:762-765.
13. Pinedo S, Erazo P, Tejada P, Lizarraga N, Aycart J, Miranda M, Zaldibar B, Gamio A, Gomez I, Sanmartin V and Bilbao A. Rehabilitation efficiency and destination on discharge after stroke. European journal of physical and rehabilitation medicine. 2014.
14. Meijer R, Ihnenfeldt D, van Limbeek J, Kriek B, Vermeulen M and de Haan R. Prognostic social factors in the subacute phase after a stroke for the discharge destination from the hospital stroke-unit. A systematic review of the literature. Disability and rehabilitation. 2004;26:191-7.
15. Meijer R, Ihnenfeldt D, Vermeulen M, De Haan R and Van Limbeek J. The use of a modified Delphi procedure for the determination of 26 prognostic factors in the sub-acute stage of stroke. International journal of rehabilitation research. 2003;26:265-70.
16. Meijer R, Ihnenfeldt DS, van Limbeek J, Vermeulen M and de Haan RJ. Prognostic factors in the subacute phase after stroke for the future residence after six months to one year. A systematic review of the literature. Clinical rehabilitation. 2003;17:512-20.
17. Koyama T, Sako Y, Konta M and Domen K. Poststroke discharge destination: functional independence and sociodemographic factors in urban Japan. Journal of stroke and cerebrovascular diseases. 2011;20:202-7.
18. Pereira S, Foley N, Salter K, McClure JA, Meyer M, Brown J, Speechley M and Teasell R. Discharge destination of individuals with severe stroke undergoing rehabilitation: a predictive model. Disability and rehabilitation. 2014;36:727-31.
19. Pohl PS, Billinger SA, Lentz A and Gajewski B. The role of patient demographics and clinical presentation in predicting discharge placement after inpatient stroke rehabilitation: analysis of a large, US data base. Disability and rehabilitation. 2013;35:990-4.
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22. Nguyen TA, Page A, Aggarwal A and Henke P. Social determinants of discharge destination for patients after stroke with low admission FIM instrument scores. Archives of physical medicine and rehabilitation. 2007;88:740-4.
23. Graessel E, Schmidt R and Schupp W. Stroke patients after neurological inpatient rehabilitation: a prospective study to determine whether functional status or health-related quality of life predict living at home 2.5 years after discharge. International journal of rehabilitation research. 2014.
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25. Wu TJ, Ho CC, Lu SH, Lee MH and Yen WJ. Factors Associated with Primary Caregiver Burden of Stroke Patients during Rehabilitation Stage. The Journal of Long term care. 2011;15:237-248.
26. Choi-Kwon S, Kim HS, Kwon SU and Kim JS. Factors affecting the burden on caregivers of stroke survivors in South Korea. Archives of physical medicine and rehabilitation. 2005;86:1043-8.
27. Brott T, Adams HP, Jr., Olinger CP, Marler JR, Barsan WG, Biller J, Spilker J, Holleran R, Eberle R and Hertzberg V. Measurements of acute cerebral infarction: a clinical examination scale. Stroke. 1989;20:864-70.
28. Cumming TB, Blomstrand C, Bernhardt J and Linden T. The NIH stroke scale can establish cognitive function after stroke. Cerebrovascular diseases. 2010;30:7-14.
29. Mahoney FI and Barthel DW. Functional evaluation: the Barthel Index. Maryland state medical journal. 1965;14:61-5.
30. Demidenko E. Sample size determination for logistic regression revisited. Statistics in medicine. 2007;26:3385-97.
31. Granger CV, Albrecht GL and Hamilton BB. Outcome of comprehensive medical rehabilitation: measurement by PULSES profile and the Barthel Index. Archives of physical medicine and rehabilitation. 1979;60:145-54.
32. Pinquart M and Sorensen S. Ethnic differences in stressors, resources, and psychological outcomes of family caregiving: a meta-analysis. The Gerontologist. 2005;45:90-106.
33. Hong GR and Kim H. Family caregiver burden by relationship to care recipient with dementia in Korea. Geriatric nursing. 2008;29:267-74.
34. Harris PB and Long SO. Daughter-in-law's burden: An exploratory study of caregiving in Japan. Journal of cross-cultural gerontology. 1993;8:97-118.
35. Kim JS. Daughters-in-law in Korean caregiving families. Journal of advanced nursing. 2001;36:399-408.
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37. Hsieh YW, Wang CH, Wu SC, Chen PC, Sheu CF and Hsieh CL. Establishing the minimal clinically important difference of the Barthel Index in stroke patients. Neurorehabilitation and neural repair. 2007;21:233-8.
38. Meijer R, van Limbeek J, Peusens G, Rulkens M, Dankoor K, Vermeulen M and de Haan RJ. The Stroke Unit Discharge Guideline, a prognostic framework for the discharge outcome from the hospital stroke unit. A prospective cohort study. Clinical rehabilitation. 2005;19:770-8.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5250-
dc.description.abstract背景: 出院安置對急性期後住院復健之腦中風病患是一重要健康問題。台灣目前無相關資料,亦不清楚病患女兒數目是否影響病患返家安置之成功率。
方法:於2011年7月至2013年9月間台灣一都會區醫院進行回溯性臨床研究,追蹤所有於接受急性期後住院復健治療之腦中風病患。研究收集病人基本性質、家屬狀況、疾病影響及功能狀況。主要結果為病患是否無法返家安置,資料來源為病歷記錄。
結果:297位病患,平均年齡63歲,37%為女性,其中118位無法返家安置,包括109名入住其他醫院復健科及9名至養護機構安置。女兒數目較多的病患,相較於沒有或僅一個女兒者,其年齡較高,女性較多,已婚比例較高,梗塞性中風較多,接受正式教育年數較短,無工作比例較高,居家有樓梯比例較高,同時兒子數目較多,小孩數目也較多。 女兒數目較多的病患,無法返家安置的機會較低:有三個女兒以上的病患,相較於沒有女兒者,無法返家安置的風險降低77% (勝算比0.23,95%信賴區間0.07-0.72)。年齡較高與自理功能較佳者,無法返家安置之風險亦較低(前者勝算比0.97,95%信賴區間0.95-0.99,後者勝算比0.97,95%信賴區間0.95-0.98)。
結論:在台灣目前接受急性期後住院復健之腦中風病患中,有很高比例無法返家安置。而其中如病患女兒數目較多,無法返家安置之風險顯著下降。
zh_TW
dc.description.abstractBackground: Discharge disposition has been important for stroke patients after post-acute inpatient rehabilitation. The rate of failure of home discharge in Taiwan was still unknown. In addition, whether the number of daughters affected patients’ home discharge needs investigation.
Methods: We conducted a retrospective case-control study in a tertiary hospital between July 2011 and Sep 2013, investigating stroke patients consecutively discharged from post-acute rehabilitation. Factors regarding patient demographics, family information, as well as disease and function information were collected. We defined the outcome, failure of home discharge or home discharge, from the discharge chart.
Results: One hundred and eighteen of 297 stroke patients (mean age 63 years, 37% women) failed to discharge to home after post-acute inpatient rehabilitation, including 109 admitting to other rehabilitation hospitals and 9 to long-term care facilities. Patients with more daughters tended to be older, female, married, to have ischemic stroke, to receive fewer years of formal education, to have no job, to have homes without stairs, and to have more sons and children. A trend existed between having more daughters and a lower risk of failure of home discharge: having three or more daughters reduced 77 percent of the risk (odds ratio [OR] 0.23, 95% confidence interval [CI] 0.07-0.72), compared with those without daughters (test for trend, p=0.002). Other protective factors included a higher age (OR 0.97, 95%CI 0.95-0.99) and a better function at discharge (OR 0.97, 95%CI 0.95-0.98).
Conclusion: The rate of failure of home discharge after post-acute inpatient rehabilitation was high in Taiwan and having more daughters lowered the risk.
en
dc.description.provenanceMade available in DSpace on 2021-05-15T17:54:21Z (GMT). No. of bitstreams: 1
ntu-103-R01849018-1.pdf: 5836585 bytes, checksum: 0a494f92fb0c53606319cd19b09ff668 (MD5)
Previous issue date: 2014
en
dc.description.tableofcontents口試委員會審定書 i
致謝 ii
英文摘要 iii
中文摘要 v
Abbreviations vi
1. Introduction and literature review 1
1.1. Discharge disposition at the participation level of new health model
1
1.2. Failure of home discharge is the poor outcome for discharge disposition
2
1.3. Stroke and rehabilitation in the acute, post-acute, chronic stages
2
1.4. Post-acute inpatient stage, an important stage of stroke 4
1.5. The rate of failure of home discharge after post-acute stroke inpatient rehabilitation 5
1.6. Predictors for failure of home discharge after post-acute stroke inpatient rehabilitation
6
1.7. Social and environmental factors as predictors
6
1.8. Will number of daughters influence failure of home discharge? 7
1.9. Research gaps 7
2. Hypotheses and study aims 9
3. Materials and methods 10
3.1. Study design 10
3.2. Study participants 10
3.2.1. Inclusion criteria 10
3.2.2. Exclusion criteria 10
3.3. Study setting 11
3.4. Outcome variables 12
3.5. Predictors 12
3.5.1. Patient factors 13
3.5.2. Disease factors 13
3.5.3. Functional status 14
3.5.4. Social and environmental factors 15
3.6. Statistical analyses 16
3.6.1. Descriptive analyses 16
3.6.2. Correlations 16
3.6.3. Tests for trend 17
3.6.4. Simple logistic regressions 17
3.6.5. Multiple logistic regressions 17
3.7. Power calculation and sample size estimation 18
4. Results 19
5. Discussion 21
5.1. Main findings 21
5.2. Studies on the rate of failure of home discharge after post-acute inpatient rehabilitation 21
5.3. Previous findings on social factors
23
5.4. Number of daughters as a protecting factor for failure of home discharge
24
5.5. The different roles of daughters, sons, daughters-in-law and spouses 25
5.6. Other predictors for failure of home discharge after post-acute inpatient rehabilitation 27
5.7. The importance of a comprehensive framework for predictors 30
5.8. Strengths and limitations 31
5.9. Future implications 33
Conclusion 35
References 36
Tables and figures 40
Table 1. Literature review: the rate of home discharge from previous studies 41
Table 2. Literature review: important determinants from previous studies 42
Table 3. Literature review: systemic reviews and framework of predictors of discharge destination 43
Table 4. Characteristics of patients: based on number of daughters 45
Table 5. Distributions of patients’ daughters, sons, and children 46
Table 6. Correlations between continuous independent variables 47
Table 7. Correlations between binary independent variables 48
Table 8. Simple logistic regressions for predictors of failure of home discharge 50
Table 9. Multiple logistic regressions for predictors of failure of home discharge 60
Figure 1. Discharge disposition in the health model of World Health Organization 61
Figure 2. Stages of stroke rehabilitation 62
Figure 3. Structure of predictors for discharge disposition 63
Figure 4. Diagram of study setting 64
Figure 5. Diagram of data collection 65
Figure 6. Flowchart of patients 66
Figure 7. Trend test for number of daughters and rate of failure of home discharge 67
Figure 8. Trend test for number of sons and rate of failure of home discharge 68
Appendix 69
Appendix 1. The National Institute of Health Stroke Severity (NIHSS) Scale 69
Appendix 2. The Cog-4 Scale 74
Appendix 3. The Barthel Index 75
dc.language.isoen
dc.subject腦中風zh_TW
dc.subject出院安置zh_TW
dc.subject家庭支持zh_TW
dc.subject社會因素zh_TW
dc.subject女兒zh_TW
dc.subjectfamily supporten
dc.subjectsocial factoren
dc.subjectdaughteren
dc.subjectstrokeen
dc.subjectpatient dischargeen
dc.title以病患女兒數目預測腦中風急性期後住院復健之返家障礙研究zh_TW
dc.titleAssociation between Number of Daughters and Failure of Home Discharge of Stroke Patients after Post-acute Inpatient Rehabilitationen
dc.typeThesis
dc.date.schoolyear102-2
dc.description.degree碩士
dc.contributor.oralexamcommittee方啟泰(Chi-Tai Fang),康峻宏(Jiunn-Horng Kang)
dc.subject.keyword腦中風,出院安置,家庭支持,社會因素,女兒,zh_TW
dc.subject.keywordstroke,patient discharge,family support,social factor,daughter,en
dc.relation.page68
dc.rights.note同意授權(全球公開)
dc.date.accepted2014-07-25
dc.contributor.author-college公共衛生學院zh_TW
dc.contributor.author-dept流行病學與預防醫學研究所zh_TW
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