(3.231.29.122) 您好!臺灣時間:2021/02/26 00:58
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:宋建成
研究生(外文):CHIEN-CHENG SUNG
論文名稱:癌症病患採用高科技醫療之行為意願研究-以南部某醫學中心放射治療病患為例
論文名稱(外文):A Study of The Cancer Patients’ Intention to Adopt The High-tech Medical Technique - The Radiation Oncology Experience at a Medical Center in Southern Taiwan
指導教授:傅振瑞傅振瑞引用關係
學位類別:碩士
校院名稱:國立高雄應用科技大學
系所名稱:資訊管理系碩士在職專班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:78
中文關鍵詞:計畫行為理論創新擴散理論高科技醫療
相關次數:
  • 被引用被引用:3
  • 點閱點閱:746
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:61
  • 收藏至我的研究室書目清單書目收藏:3
隨著科技的日新月異,癌症病患對於癌症放射治療的要求也就越來越高,因此癌症放射治療的發展也朝向高科技醫療邁進。雖然目前很多醫療院所在癌症的放射治療上投入相當多的設備資源,然而目前癌症病患對於高科技醫療的使用率仍然偏低,因此有必要進一歩研究癌症病患採用高科技醫療的行為意願為何。本研究引用Ajzen (1985)所提出的計畫行為理論加上創新擴散理論為基礎,試圖建構一個癌症病患採用高科技醫療的行為意願模式,以放射治療之癌症病患為研究樣本,採問卷調查法做實證研究,來探討影響採用高科技醫療的因素,預測及解釋高科技醫療採用模式,以期做為未來醫療院所投入癌症放射治療的參考。
本研究以瞭解高科技醫療之癌症病患為實證對象,問卷共發放160份,有效問卷98份,無效與拒絕填寫共62份。並針對癌症病患研究情境,採取相關研究情境控制,以提高測量效度。在資料分析部份,本研究以PLS路徑分析法進行模型驗證,由測量模型與路徑係數檢定結果顯示,影響癌症病患採用高科技醫療行為意願中,『態度』、『主觀規範』與『知覺行為控制』對行為意圖皆有顯著影響。研究結果顯示:
1.影響癌症病患採用高科技醫療行為意願,最重要因素為「知覺行為控制」,其次是「態度」,最後是「主觀規範」。
2.在癌症病患採用高科技醫療「態度」上,最重要的影響因素為「相對優勢」,其次是「大眾口碑」,最後是「知覺風險」。
3.在癌症病患採用高科技醫療「主觀規範」上,「社會壓力」為主要的影響因素。
4.在癌症病患採用高科技醫療「知覺行為控制」上,「經濟因素」為主要的影響因素。
5.「權威意見」對癌症病患採用高科技醫療「態度」,受「醫療形象」調節。
Purpose:With the progress of technique, the demand of radiation therapy in cancer patient is expanded. Therefore, the development of radiation therapy to cancer tends to become “high-tech”. Although lots of facilities are thrown in radiation therapy to cancer in many hospitals, the utilization rate of high-tech medical technique to treat cancer patient is still low. It is necessary to investigate the behavioral intensions of cancer patients to adopt high-tech medical technique. In this study, we introduced the theory of planned behavior (TPB) by Ajzen (1985) and diffusion of innovations theory to construct the behavioral intension model of cancer patients to adopt the high-tech medical technique. We included the cancer patients to radiation therapy for study and the questionnaire method for evidence, in order to explore the factors, predictors and reasons to accept high-tech medical technique.
Methods:This study invited the cancer patients who accepted high-tech medical technique and 160 questionnaires were distributed. Ninety-eight questionnaires were valid, and 62 questionnaires were in vain or rejected. The study circumstances according to individual cancer patients were controlled for improved study effectiveness. In data analysis, we took PLS pathway analysis to verify the model. By the measurement model and pathway coefficient, in the affections of cancer patients to adopt high-tech medical technique, attitude toward the behavior, subjective norm and perceived behavioral control were significant to behavioral intension.
Results and Conclusion:
1.The most significant factor to cancer patient to adopt the high-tech medical technique was perceived behavioral control, following with attitude toward the behavior, and subjective norm in the last.
2.The most significant factor of the attitude toward the behavior in cancer patients to adopt the high-tech medical technique was relative advantage, following with word-of-mouth, and perceived risk in the last.
3.The social pressure was the most significant factor for cancer patients to adopt the high-tech medical technique in subjective norm.
4.The economy was the most significant factor for cancer patient to accept high-tech medical technique in perceived behavioral control.
5.The opinion from authority to the attitude toward the behavior of cancer patients to adopt the high-tech medical technique was modulated by medical image.
1、 緒 論.............................................1
1.1 研究背景與動機........................................1
1.2 研究目的.............................................6
2、 文獻探討.............................................7
2.1 放射治療相關文獻......................................7
2.2 高科技醫療...........................................9
2.3 慎思行為理論(THEORY OF REASONED ACTION, TRA)........11
2.3.1 行為意願(BEHAVIORAL INTENTION, BI) ...............12
2.3.2 態度(ATTITUDE TOWARD BEHAVIOR, AB) ...............13
2.3.3 主觀規範(SUBJECTIVE NORMS) .......................14
2.4 計畫行為理論(THEORY OF PLANNED BHAVIOR,TPB) .......15
2.4.1 行為意願(INTENTION)...............................16
2.4.2 態度(ATTITUDE TOWARD THE BEHAVIOR)..............17
2.4.3 主觀規範(SUBJECTIVE NORM).......................18
2.4.4 知覺行為控制(PERCEIVED BEHAVIORAL CONTROL).......19
2.4.5 影響態度之外生變數.................................20
2.4.6 醫療形象..........................................25
3、 假說推論.............................................26
3.1 假說與定義..........................................26
3.1.1 相對優勢對癌症病患採用高科技醫療的影響 ..............26
3.1.2 大眾口碑對癌症病患採用高科技醫療的影響 ..............27
3.1.3 知覺風險對癌症病患採用高科技醫療的影響 ..............28
3.1.4 權威意見對癌症病患採用高科技醫療的影響 ..............29
3.1.5 態度對癌症病患採用高科技醫療的影響 ..............30
3.1.6 主觀規範對癌症病患採用高科技醫療的影響 ..............31
3.1.7 知覺行為控制對癌症病患採用高科技醫療的影響...........33
3.1.8 醫療形象對癌症病患採用高科技醫療的影響 ..............34
3.1.9 研究假說總結.....................................35
4、 研究方法...........................................36
4.1 研究變數定義與衡量問項 ..............................36
4.1.1 行為意願 ......................................37
4.1.2 態度............................................38
4.1.3 主觀規範(親朋好友的社會壓力)......................39
4.1.4 主觀規範(醫師的權威意見).........................40
4.1.5 知覺行為控制(經濟因素)...........................41
4.1.6 態度外生變數(相對優勢)...........................42
4.1.7 態度外生變數(大眾口碑)...........................43
4.1.8 態度外生變數(知覺風險)...........................44
4.1.9 醫療形象.........................................45
4.2 問卷設計...........................................46
4.3 前測 ..............................................46
4.4 研究對象...........................................47
4.5 分析工具...........................................48
5、 資料分析...........................................50
5.1 問卷發放...........................................50
5.2 病患基本資料分析....................................51
5.3 測量模型之效度與信度檢定.............................54
5.4 研究模型檢定.......................................58
5.4.1 檢定結果.........................................59
5.4.2 衡量調節變數的影響................................61
5.5 研究結果分析.......................................62
6、 結論與建議.........................................64
6.1 研究結論..........................................65
6.2 研究貢獻..........................................68
6.2.1 學術貢獻........................................68
6.2.2 管理意涵........................................69
6.3 研究限制與未來研究建議..............................71
7、 參考文獻..........................................75
1.Ajzen, I. & Fishbein, M. 1980. Understanding attitudes and predicting social behavior: Prentice-Hall Englewood Cliffs, NJ.
2.Ajzen, I. 1985. From intentions to actions: A theory of planned behavior. Action-control: From cognition to behavior, 11: 39.
3.Ajzen, I. & Madden, T. J. 1986. Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5): 453-474.
4.Ajzen, I. 1989. Attitude structure and behavior. Attitude structure and function: 241–274.
5.Allison, R. R., Gay, H. A., Mota, H. C., & Sibata, C. H. 2006. Image-guided radiation therapy: current and future directions. Future Oncology, 2(4): 477-492.
6.Arndt, J. 1967. Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research, 4(3): 291-295.
7.Bansal, H. S. & Voyer, P. A. 2000. Word-of-Mouth Processes within a Services Purchase Decision Context. Journal of Service Research, 3(2): 166.
8.Bauer, R. A. 1960. A Bauer, . America, Mass Society and Mass Media: 3–66.
9.Begbie, S. D., Kerestes, Z. L., & Bell, D. R. 1996. Patterns of alternative medicine use by cancer patients. Med J Aust, 165(10): 545-548.
10.Bettman, J. R. & Park, C. W. 1980. Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis. Journal of Consumer Research, 7(3): 234.
11.Bloch, P. H., Sherrell, D. L., & Ridgway, N. M. 1986. Consumer Search: An Extended Framework. Journal of Consumer Research, 13(1): 119.
12.Bollen, K. A. & Stine, R. A. 1992. Bootstrapping Goodness-of-Fit Measures in Structural Equation Models. Sociological Methods & Research, 21(2): 205.
13.Bone, P. F. 1995. Word-of-mouth effects on short-term and long-term product judgments. Journal of Business Research, 32(3): 213-223.
14.Bristor, J. M. 1990. Enhanced explanations of word of mouth communications: the power of relationships. Research in Consumer Behavior, 4: 51-83.
15.Cunningham, S. M. 1967. The major dimensions of perceived risk. Risk Taking and Information Handling in Consumer Behavior: 82-108.
16.Delaney, G., Jacob, S., Featherstone, C., & Barton, M. 2005. The Role of Radiotherapy in Cancer Treatment. Cancer, 104(6).
17.Dichter, E. 1966. How word-of-mouth advertising works. Harvard Business Review, 44(6): 147-166.
18.Duhan, D. F., Johnson, S. D., Wilcox, J. B., & Harrell, G. D. 1997. Influences on Consumer Use of Word-of-Mouth Recommendation Sources. Journal of the Academy of Marketing Science, 25(4): 283.
19.Elbeck, M. 1988. Measuring and interpreting dimensions of hospital image: the case of a psychiatric hospital. J Health Care Mark, 8(1): 88-93.
20.Engel, J. F., Blackwell, R. D., & Miniard, P. W. 1995. Consumer Behavior. Forth Worth. TX: Dryden.
21.Fishbein, M. & Ajzen, I. 1975. Belief, attitude, intention, and behavior: an introduction to theory and research.
22.Fornell, C. & Larcker, D. F. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1): 39-50.
23.Fornell, C. & Bookstein, F. L. 1982. Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4): 440-452.
24.Fraass, B. A. 1995. The development of conformal radiation therapy. Medical Physics, 22: 1911.
25.Fu, J. R. 2006. VisualPLS–Partial Least Square (PLS) Regression–An Enhanced GUI for Lvpls (PLS 1.8 PC) Version 1.04: National Kaohsiung University of Applied Sciences, Taiwan, ROC.
26.Gilly, M. C., Graham, J. L., Wolfinbarger, M. F., & Yale, L. J. 1998. A Dyadic Study of Interpersonal Information Search. Journal of the Academy of Marketing Science, 26(2): 83.
27.Heberlein, T. A. & Black, J. S. 1976. Attitudinal specificity and the prediction of behavior in a field setting. Journal of Personality and Social Psychology, 33(4): 474-479.
28.Higie, R. A., Feick, L. F., & Price, L. L. 1987. Types and amount of word-of-mouth communications about retailers. Journal of Retailing, 63(3): 260-278.
29.Hoerger, T. J. & Howard, L. Z. 1995. Search Behavior and Choice of Physician in the Market for Prenatal Care. Medical Care, 33(4): 332-349.
30.Javalgi, R. G., Whipple, T. W., McManamon, M. K., & Edick, V. L. 1992. Hospital image: A correspondence analysis approach. Journal of Health Care Marketing, 12(4): 34.
31.Kaplan, E. N. 1974. THE RISK OF MALIGNANCY IN LARGE CONGENITAL NEVI. Plastic and Reconstructive Surgery, 53(4): 421.
32.Kotler, P. & Clarke, R. N. 1987. Marketing for health care organizations: Prentice-Hall Englewood Cliffs, NJ.
33.Krugman, H. E. 1965. Public Opinion Quarterly 29 (Fall): pp. 349356. Assael (1998).
34.Lau, G. T. & Ng, S. 2001. Individual and situational factors influencing negative word-of-mouth behaviour. Canadian Journal of Administrative Sciences, 18(3): 163-178.
35.Lohmoller, J. B. 1981. LVPLS: Latent Variables Path Analysis with parameter estimation under Partial Least Squares (PLS)(Version 1.6)-Program Manual. Neubiberg: Hochschule der Bundeswehr Munchen.
36.Peltier, J. W., Schibrowsky, J. A., & Schultz, D. E. 2002. Leveraging Customer Information to Develop Sequential Communication Strategies: A Case Study of Charitable-Giving Behavior. Journal of Advertising Research, 42(4): 23-42.
37.Richins, M. L. & Root-Shaffer, T. 1988. The Role of Involvement and Opinion Leadership in Consumer Word-of-Mouth: An Implicit Model Made Explicit. Advances in Consumer Research, 15(1): 32-36.
38.Rogers, E. M. 1983. Diffusion of Innovations: Free Press.
39.Rogers, E. M. & Kim, J. I. 1985. Diffusion of Innovations in Public Organizations. Innovation in the Public Sector: 85-108.
40.Rogers, E. M. 2003. Diffusion of Innovations: Free Press New York.
41.Schifter, D. E. & Ajzen, I. 1985. Intention, perceived control, and weight loss: an application of the theory of planned behavior. J Pers Soc Psychol, 49(3): 843-851.
42.Silverman, G. 1997. How to harness the awesome power of word of mouth. Direct Marketing, 60(7): 32–37.
43.Stone, R. N. & Gronhaung, K. 1993. “Perceived Risk: Further Consideration for the Marketing Discipline,”. European Journal of Marketing (27: 3): 39-50.
44.Taylor, J. W. 1974. The role of risk in consumer behavior. Journal of Marketing, 38(2): 54-60.
45.Taylor, S. & Todd, P. 1995a. Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19(4): 561-570.
46.Taylor, S. & Todd, P. A. 1995b. Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2): 144-176.
47.van der Leeuw, S. E. & Torrence, R. 1989. What's New?: A Closer Look at the Process of Innovation: Allen & Unwin Pty., Limited (Australia).
48.王俊文, 王凱淞, 張時獻, & 葉德豐. 2003. 高科技醫療儀器利用之探討: 以某大學附設醫院加馬刀中心為例. 醫務管理期刊, 4(4): 1-13.
49.王嵩竑. 2007. 護理人員認知之RFID系統創新性對其使用該系統意圖之影響. 醫護科技學刊, 9卷2期: 89-102.
50.行政院. 民國95年. 民國95年衛生統計系列. In 衛生署 (Ed.).
51.吳淑美, 余玉眉, 黃思誠, & 楊承芳. 2004. 婦女對子宮全切除術之決策型態探討. 台灣醫學, 8(1): 32-41.
52.李隆生. 1999. 影響醫院購置昂貴醫療儀器決策之因素-以台南高雄兩地醫院為例. 中華公共衛生雜誌, 18(5): 327-333.
53.周琳霓. 2005. 抗癌治療新紀元 電腦刀許癌症患者一個未來. 健康世界, 238: 61-63.
54.林建煌. 2002. 消費者行為: 智勝文化總經銷 臺北市.
55.留淑芳. 2003. 網路口耳相傳訊息特性及接受者行為特質對態度形成之影響, 國立台灣大學商學研究所博士論文.
56.張櫻淳, 黃文鴻, & 蘇喜. 1998. 醫院形象定位之研究-以台北市六家醫學中心的家醫科就診民?為例. 中華公共衛生雜誌, 17(2): 111-124.
57.梁雲, 方富民, 葉世安, 王重榮, & 陳惠君. 1994. 放射腫瘤的人力需求與設備分佈-臺灣地區的概略評估. 放射治療與腫瘤學, 1(2): 109-114.
58.許文林, 翁武忠, 陳光耀, & 吳國海. 1997. 國際質子加速器醫學治療設備參訪報告. 放射治療與腫瘤學, 4(4): 291-297.
59.許麗珠. 2006. 放射線治療的發展與臨床應用之專題報導. 腫瘤護理雜誌, 6(2): 65-73.
60.陳宏一, 閻中原, 劉文雄, 王炳龍, 林峰輝, & 吳丕玉. 2004. 醫院行銷活動對其形象影響之研究. 醫務管理期刊, 5(2): 135-151.
61.曾倫崇. 1999. 從行銷觀點談門診顧客就診考慮因素-以台南地區為例. 醫護科技學刊, 1(1): 59-74.
62.曾漢民. 1997. 腫瘤治療的新趨勢. 台灣醫學, 1(3): 327-332.
63.葉旭榮. 1997. 志工參與行為意向模式的建構及其在志工人力資源招募的應用-以老人福利機構志工招募為例: 國立中山大學公共事務管理研究所碩士論文.
64.蔡文正, 龔佩珍, 楊志良, & 江怡如. 2005. 台灣高科技醫療儀器之利用趨勢, 1998-2001. 醫務管理期刊, 6(4): 446-460.
65.蔡玉莉, 李玉麟, 上惠, 梁麗麗, & 陳一瑋. 2006. 遠隔放射治療現況及技術發展之介紹. 腫瘤護理雜誌, 6(2): 1-9.
66.韓婷婷. 1999. 民眾參與環境影響評估的行為意向模式之研究: 中山大學公共事務管理研究所碩士論文.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
1. 64.蔡文正, 龔佩珍, 楊志良, & 江怡如. 2005. 台灣高科技醫療儀器之利用趨勢, 1998-2001. 醫務管理期刊, 6(4): 446-460.
2. 62.曾漢民. 1997. 腫瘤治療的新趨勢. 台灣醫學, 1(3): 327-332.
3. 61.曾倫崇. 1999. 從行銷觀點談門診顧客就診考慮因素-以台南地區為例. 醫護科技學刊, 1(1): 59-74.
4. 60.陳宏一, 閻中原, 劉文雄, 王炳龍, 林峰輝, & 吳丕玉. 2004. 醫院行銷活動對其形象影響之研究. 醫務管理期刊, 5(2): 135-151.
5. 58.許文林, 翁武忠, 陳光耀, & 吳國海. 1997. 國際質子加速器醫學治療設備參訪報告. 放射治療與腫瘤學, 4(4): 291-297.
6. 57.梁雲, 方富民, 葉世安, 王重榮, & 陳惠君. 1994. 放射腫瘤的人力需求與設備分佈-臺灣地區的概略評估. 放射治療與腫瘤學, 1(2): 109-114.
7. 53.周琳霓. 2005. 抗癌治療新紀元 電腦刀許癌症患者一個未來. 健康世界, 238: 61-63.
8. 52.李隆生. 1999. 影響醫院購置昂貴醫療儀器決策之因素-以台南高雄兩地醫院為例. 中華公共衛生雜誌, 18(5): 327-333.
9. 51.吳淑美, 余玉眉, 黃思誠, & 楊承芳. 2004. 婦女對子宮全切除術之決策型態探討. 台灣醫學, 8(1): 32-41.
10. 49.王嵩竑. 2007. 護理人員認知之RFID系統創新性對其使用該系統意圖之影響. 醫護科技學刊, 9卷2期: 89-102.
11. 48.王俊文, 王凱淞, 張時獻, & 葉德豐. 2003. 高科技醫療儀器利用之探討: 以某大學附設醫院加馬刀中心為例. 醫務管理期刊, 4(4): 1-13.
12. 65.蔡玉莉, 李玉麟, 上惠, 梁麗麗, & 陳一瑋. 2006. 遠隔放射治療現況及技術發展之介紹. 腫瘤護理雜誌, 6(2): 1-9.
 
系統版面圖檔 系統版面圖檔