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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳玲玲 | |
| dc.contributor.author | Wei-Che Chiu | en |
| dc.contributor.author | 邱偉哲 | zh_TW |
| dc.date.accessioned | 2021-06-12T18:33:51Z | - |
| dc.date.available | 2007-08-28 | |
| dc.date.copyright | 2007-08-28 | |
| dc.date.issued | 2007 | |
| dc.date.submitted | 2007-07-31 | |
| dc.identifier.citation | 1. 行政院主計處:http://www.dgbas.gov.tw
2. 林正修:某醫學中心家庭醫學科門診病患憂鬱症之盛行率與相關因素的探討。 國立台灣大學/公共衛生學系85年碩士論文 3. 邱偉哲:勞工保險殘廢給付『精神障害』等級及審查標準之研究。行政院勞工委員會勞保局95年度委託研究報告。 4. 梁玲郁、黃旭明、藍忠孚:健康綜合測量的發展與啟示。台灣衛誌 2005;24(3):197-208 5. 勞工保險局全球資訊網:http://www.bli.gov.tw/ 6. 張家銘:正視憂鬱症所造成的社會經濟負擔。http://www.cgmh.com.tw/intr/intr2/c3360/E_CCM(Depression_ec).htm 7. 翟金國、趙靖平:傷殘調整生命年在精神障礙疾病負擔中的應用及有關問題(綜述) 。中國心理衛生雜誌 2006;20(2): 125-8 8. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition - Text Revision (DSMIV-TR) 9. Baune BT, Adrian I, Jacobi F. Medical disorders affect health outcome and general functioning depending on comorbid major depression in the general population. J Psychosom Res. 2007;62(2):109-18. 10. Donohue JM, Pincus HA. Reducing the societal burden of depression: a review of economic costs, quality of care and effects of treatment. Pharmacoeconomics. 2007;25(1):7-24. 11. Emptage NP, Sturm R, Robinson RL. Depression and comorbid pain as predictors of disability, employment, insurance status, and health care costs. Psychiatr Serv. 2005;56(4):468-74. 12. Hegarty K, Gunn J, Chondros P, Small R.:Association between depression and abuse by partners of women attending general practice: descriptive, cross sectional survey. BMJ. 2004;328(7440):621-4 13. Kessler RC, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR, Rush AJ, Walters EE, Wang PS; National Comorbidity Survey: The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003;289(23):3095-105. 14. von Knorring L, Akerblad AC, Bengtsson F, Carlsson A, Ekselius L. Cost of depression: effect of adherence and treatment response.Eur Psychiatry. 2006;21(6):349-54. 15. Lamb CE, Ratner PH, Johnson CE, Ambegaonkar AJ, Joshi AV, Day D, Sampson N. Economic impact of workplace productivity losses due to allergic rhinitis compared with select medical conditions in the United States from an employer perspective. Curr Med Res Opin. 2006;22(6):1203-10. 16. The National Institute of Mental Health (NIMH). http://www.nimh.nih.gov/publicat/depression.cfm 17. The Royal College of Psychiatrists: Depression in the workplace http://www.rcpsych.ac.uk/mentalhealthinformation/mentalhealthproblems/depression/depressionintheworkplace.aspx 18. Simon GE. Social and economic burden of mood disorders. Biol Psychiatry. 2003;54(3):208-15. 19. Sobocki P, Jonsson B, Angst J, Rehnberg: Cost of depression in Europe.C J Ment Health Policy Econ. 2006;9(2):87-98. 20. Stewart WF, Ricci JA, Chee E, Hahn SR, Morganstein D. Cost of lost productive work time among US workers with depression. JAMA. 2003;289(23):3135-44. 21. Sullivan S. Promoting health and productivity for depressed patients in the workplace. J Manag Care Pharm. 2005;11(3 Suppl):S12-5. Thompson D, Richardson E. Current issues in the economics of depression management. Curr Psychiatry Rep. 1999;1(2):125-34. 22. Tian H, Robinson RL, Sturm R. J Labor market, financial, insurance and disability outcomes among near elderly Americans with depression and pain. Ment Health Policy Econ. 2005;8(4):219-28. 23. Wang PS, Beck AL, Berglund P, McKenas DK, Pronk NP, Simon GE, Kessler RC. Effects of Major Depression on Moment-in-Time Work Performance Am J Psychiatry, 2004;161:1885-91. 24. Wang PS, Simon G, Kessler RC. The economic burden of depression and the cost-effectiveness of treatment. Int J Methods Psychiatr Res. 2003;12(1):22-33. 25. World Health Organization. 1997 International Classification of Impairments, Activities and Participation: A Manual of Dimensions of Disablement and Functioning. Geneva. WHO. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/28020 | - |
| dc.description.abstract | 憂鬱症所造成的社會經濟負擔除了直接醫療所需花費,還有間接的損失,如請假與生產力下降的工作損失、死亡等。對於精神疾病所造成之能力缺損與生產力降低,目前在工作效率減低、工作穩定性不佳所造成收入的缺損、生病造成之升遷影響等因素,現有評估方式往往難以列入計算。本研究希望透過勞工於勞工保險投保之相關資料,來了解憂鬱症對於被保險人勞動力的影響。
本研究使用資料來源為為勞保局於95年度勞保局委託研究“勞工保險殘廢給付『精神障害』等級及審查標準之研究“所發表之民國94年10至12月核定精神障害類別之資料。採計量統計方法。分析憂鬱症之勞保被保險人與所有被保險人之年齡、性別、診斷與診斷代碼、殘廢等級、初診時間與殘廢申請時間、職業異動與投保薪資等變項差異 。 比較109位憂鬱症被保險人與母群體所有勞保被保險人之差異,申請勞保殘廢給付者其薪資(21754.86元新台幣/月)較所有勞保人薪資(27059.98)平均低5305.12元, 兩組間達顯著差異(t=5.4023, p<0.00001)。 憂鬱症勞工在工作年資中,工作投保單位變換平均為6.99次,工作變換率為0.58次/年,是一般勞工的三倍。憂鬱症通過殘廢給付之疾病時間為4.14年、通過組之疾病年-年資比為24.99%, 遠高於未通過組之2.75年(p < 0.05)。 由本研究結果得知憂鬱症病患其薪資的確較一般人為低,這表示憂鬱症並不是單純短期的一個疾病,它影響的範疇遠比我們想像中來的深遠。因此憂鬱症所造成的失能,不論是可見還是不可見,對於個人、家庭、企業,社會,甚至國家都有不可忽視的影響。 | zh_TW |
| dc.description.abstract | The depressive disorder made a lot of social economic burdens. The burdens include not only the direct cost – the medical cost, but also the indirect cost, such as the poor work efficiency, lower productivity, absenteeism, instability in work and death. It’s difficult to evaluate the all deficit values by the current methods.
In this study, we use the data of the depressed workers for the impairment benefit payment of the labor insurance from the Oct to Dec in 2005. The study is compiled statistics by quantity. The items for statistics are the age, sex, disease names and codes, disability levels, duration of diseases, number of the job-change and the salary for the insurance. Among the 109 depressed workers, the average salary for insurance is 21754.86 NTD per month, which is significant lower than the average salary of total labors (p value < 0.00001). The job-change rate is 0.58 times per year which is 3 times than the healthy labors. The illness year is higher in the disable depressed worker than non-disable. The salaries of the depressed workers are lower than the healthy workers. This implicates that depressive disorders are not short term diseases. The impacts of depressive disorders are under estimated. It will be the important issue about the influence of depressive disorders in the families, business, and countries. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-12T18:33:51Z (GMT). No. of bitstreams: 1 ntu-96-P93743035-1.pdf: 1005070 bytes, checksum: 5bf53c3eb29908c227d100e0e9127077 (MD5) Previous issue date: 2007 | en |
| dc.description.tableofcontents | 口試委員審定書 ii
誌謝 iii 中文摘要 iv 英文摘要 v 目錄 vi 表目錄 viii 第一章 緒論 01 第一節 研究背景 01 第二節 研究動機與目的 02 第三節 研究架構 03 第二章 文獻探討 04 第一節 憂鬱症的種類、定義與疾病特性 04 第二節 憂鬱症的影響 06 第三節 目前對於憂鬱症產值損失的評估方式 11 第四節 薪資與勞動力 14 第五節 勞保投保薪資與實際薪資之關係 18 第三章 研究方法 19 第一節 研究設計與研究步驟 19 第二節 研究對象 20 第三節 統計方法 21 第四章 研究結果 22 第一節 精神障礙在勞保殘廢給付 22 第二節 勞保殘廢給付之憂鬱症 24 第三節 憂鬱症與勞保殘廢給付審核 28 第五章 結論與建議 31 第一節 憂鬱症患者的特性 31 第二節 工作的變動與工作變換率 33 第三節 殘廢認定與憂鬱症的關係 34 第四節 研究限制 35 第五節 結論與建議 37 參考文獻 40 附錄 43 附件一、主要勞動經濟指標 43 附件二、現行勞工保險相關條例 44 附件三、民國95年底勞工保險投保人數 46 附件四、勞工保險被保險人數及平均年齡─按性別及年齡組別分 47 附件五、勞工保險被保險人數及平均投保薪資─按月投保薪資分 49 附件六、勞工保險民國95底月投保薪資人數統計一覽表 51 附件七、勞工保險被保險人數─按月投保薪資及年齡組別、性別分.. 52 附件八、歷年來勞工保險其他勞工之投保人數及應計保險費人數 ─按身分別分 56 | |
| dc.language.iso | zh-TW | |
| dc.subject | 憂鬱症 | zh_TW |
| dc.subject | 勞工保險 | zh_TW |
| dc.subject | 生產力 | zh_TW |
| dc.subject | 薪資 | zh_TW |
| dc.subject | 殘廢 | zh_TW |
| dc.subject | salary | en |
| dc.subject | labor insurance | en |
| dc.subject | depressive disorder | en |
| dc.subject | disability | en |
| dc.subject | productivity | en |
| dc.title | 憂鬱症對於實際勞動表現之影響:
以勞工保險殘廢給付之病人為例 | zh_TW |
| dc.title | Impacts of the Depressive Disorder on Work Productivity:
Patients of the Impairment Benefit Program | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 95-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 柯承恩,黃崇興 | |
| dc.subject.keyword | 憂鬱症,勞工保險,生產力,薪資,殘廢, | zh_TW |
| dc.subject.keyword | depressive disorder,labor insurance,productivity,salary,disability, | en |
| dc.relation.page | 42 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2007-08-01 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 高階公共管理組 | zh_TW |
| 顯示於系所單位: | 高階公共管理組 | |
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