一、中文參考文獻
中華民國行政院經濟建設委員會 (2012)。中華民國2012年至2060年人口推計。台北市：中華民國行政院經濟建設委員會。
中華民國行政院衛生署 (2007)。關鍵時刻－邁向全民健保改革新紀元。台北市：中華民國行政院衛生署。
內政部 (2005)。加強老人安養服務方案核定本。台北市：內政部。
江大樹、王子華、潘中道、梁鎧麟 (2010)。從長期照顧到老有所用：菩提長青村創新治理模式分析。社區發展季刊，131，436-454。
全聯會世界醫師會工作小組 (2010)。世界醫師會應用遠距健康照護之指導原則聲明。台灣醫界，53(6)，33-34。
吳淑瓊、莊坤洋 (2001)。在地老化：台灣二十一世紀長期照護的政策方向。臺灣公共衛生雜誌，20(3)，192-201。余家杰、徐業良 (2009)。國內外遠距居家照護發展之現況與挑戰。2009 年社區教育暨老人福祉學術研討會，2009，桃園縣。
李春麟、黃銘圭 (2013)。醫療會務網站的系統服務品質、服務價值、主觀規範對會員持續使用意圖之影響效果。健康科技期刊，1(1)，57-86。
林進財、陳啟斌、陳稚均、吳文祥 (2006)。台灣地區實施全民健康保險後醫療資源公平性之研究。環境管理與研究，7(2)，53-66。林如萍 (2007)。農村老人在地老化資源採用之影響因素分析。中華家政學刊，41，37-50。
胡昕昀 (2012)。計畫下的非計畫行為－功能性商品的衝動購買行為探討 (未出版博士論文)。國立中央大學，桃園縣。張紀萍 (2013)。慢性病中老年人遠距照護使用經驗與建構修正後科技接受模式 (未出版博士論文)。國立臺北護理健康大學，台北市。
張曉婷 (2009)。淺談台灣之遠距照護。台灣老年學論壇，11。
梁定澎 (2012)。資訊管理理論。新北市：前程文化事業有限公司。
陳正芬 (2011)。我國長期照顧政策之規劃與發展。社區發展季刊，133，197-208。陳全裕、楊宜青 (2007)。提昇高齡化無醫鄉之醫療照護水準-以田寮模式巡迴醫療為例。台灣老年醫學雜誌，2(3)，209-224。
陳學志、詹雨臻、Ruch, W., & Proyer, R. T. (2011)。被笑恐懼相關特質的測量與信度及效度之評估。測驗學刊，58(1)，119-145。楊志良 (2010)。由活躍老化觀點建構國民健康新願景。社區發展季刊，132，26-40。鄭瑩妮、胡昌亞、簡世文 (2013)。師徒功能與徒弟知識分享。商略學報，5(1)，37-56。蕭文龍 (2014)。統計分析入門與應用。台北市：碁峰。
二、英文參考文獻
Agarwal, R., & Karahanna, E. (2000). Time Flies When You´re Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage. MIS Quarterly, 24(4), 665-694.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32, 665-683.
Alvseike, H., & Brønnick, K. (2012). Feasibility of the iPad as a hub for smart house technology in the elderly; effects of cognition, self-efficacy, and technology experience. Journal of Multidisciplinary Healthcare, 5, 299-306.
Alwan, M., & Nobel, J. (2008). State of technology in aging services according to field experts and thought leaders. CAST (LeadingAge Center for Aging Services Technology), Washington, DC, March.
Alwan, M., Wiley, D., & Nobel, J. (2007). State of technology in aging services. Interim Report Submitted to: Blue Shield of California Foundation.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84(2), 191-215.
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37, 122-147.
Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52,1-26.
Barlow, J., Bayer, S., & Curry, R. (2006). Implementing complex innovations in fluid multi-stakeholder environments: Experiences of 'telecare'. Technovation, 26(3), 396-406.
Barrera, M., Sandler, I. N., & Ramsay, T. B. (1981). Preliminary development of a scale of social support: Studies on college students. American Journal of Community Psychology, 9, 435-447.
Becker, H., Stuifbergen, A., Oh, H. S., & Hall, S. (1993). Self-rated abilities for health practices: A health self-efficacy measure. Health Values, 17(5), 42-50.
Berenson, R., & Rich, E. (2010). US approaches to physician payment: the deconstruction of primary care. Journal of General Internal Medicine, 25(6), 613-618.
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370.
Blumenthal, J. A., Babyak, M. A., & Moore, K. A. (1999). Effects of exercise training On older patients with majors. Archives of Internal Medicine, 159, 2349-2356.
Bosworth, H. B., Siegler, I. C., Olsen, M. K., Brummett, B. H., Barefoot, J. C., & Williams, R. B. (2000). Social support and quality of life in patients with coronary artery disease. Quality of Life Research, 9, 829-839.
Brown, S. A., & Venkatesh, V. (2005). Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle. MIS Quarterly, 29(3), 399-426.
Bunn, F., Byrne, G., & Kendall, S. (2005). The effects of telephone consultation and triage on healthcare use and patient satisfaction: A systematic review. British Journal of General Practice, 55(521), 956-961.
Burr, J. A., Mutchler, J. E., & Warren, J. P. (2005). State commitment to home and community-based services. Journal of Aging & Social Policy, 17(1), 1-18.
Chae, Y. M., Lee, J. H., Ho, S. H., Kim, H. J., Jun, K. H., & Won, J. U. (2001). Patient satisfaction with telemedicine in home health services for the elderly. International Journal of Medical Informatics, 61(2), 167-173.
Chen, C. Y. (2010). Meeting the challenges of eldercare in Taiwan’s aging society. Journal of Clinical Gerontology and Geriatrics, 1(1), 2-4.
Chen, K. M., Lin, M. H., Wang, Y. C., Huang, H. T., & Li, C. H. (2012). A model-based survey of physical health in community-dwelling older adults. The Journal of Nursing Research, 20(2), 239-248.
Cheng, T.-M. (2003). Taiwan's new national health insurance program: Genesis and experience so far. Health Affairs, 22(3), 61-76.
Chiu, C.-M., & Wang, E. T. G. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194-201.
Cho, V., Cheng, T. C. E., & Hung, H. (2009). Continued usage of technology versus situational factors: An empirical analysis. Journal of Engineering and Technology Management, 26(4), 264-284.
Cobb, S. (1976). Social support as a moderator of life stress. Psychosomatic Medicine, 38, 300-314.
Cohen-Mansfield, J., Creedon, M. A., Malone, T. B., Kirkpatrick III, M. J., Dutra, L. A., & Herman, R. P. (2005). Electronic memory aids for community-dwelling elderly persons: Attitudes, preferences, and potential utilization. Journal of Applied Gerontology, 24(1), 3-20.
Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98, 310-357.
Compeau, D., Higgins, C. A., & Huff, S. (1999). Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, 23(2), 145-158.
Compeau, D. R., & Higgins, C. A. (1995). Computer Self-efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189-211.
Costa-Font, J., Elvira, D., & Mascarilla-Miró, O. (2009). Ageing in Place'? Exploring Elderly People's Housing Preferences in Spain. Urban Studies, 46(2), 295-316.
Coye, M. J., Haselkorn, A., & DeMello, S. (2009). Remote patient management: technology-enabled innovation and evolving business models for chronic disease care. Health Affairs, 28(1), 126-135.
Creswell, J. W. (2007). Qualitative inquiry and research design: Choosing among five approaches. CA: Sage.
Czaja, S., Beach, S., Charness, N., & Schulz, R. (2013). Older Adults and the Adoption of Healthcare Technology: Opportunities and Challenges Technologies for Active Aging (pp. 27-46). : Springer.
Dang, S., Remon, N., Harris, J., Malphurs, J., Sandals, L., Cabrera, A. L., & Nedd, N. (2008). Care coordination assisted by technology for multiethnic caregivers of persons with dementia: a pilot clinical demonstration project on caregiver burden and depression. Journal of Telemedicine and Telecare, 14(8), 443-447.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease Of Use, And User Accep. MIS Quarterly, 13(3), 319.
Demiris, G., & Hensel, B. (2009). “Smart Homes” for Patients at the End of Life. Journal of Housing for the Elderly, 23(1), 106-115.
Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51(3), 629-636.
Durmus, D., Alayli, G., Cil, E., & Canturk, F. (2009). Effects of a home-based exercise program on quality of life, fatigue, and depression in patients with ankylosing spondylitis. Rheumatol Int, 29, 673-677.
Ellis, R. D., & Allaire, J. C. (1999). Modeling computer interest in older adults: The role of age, education, computer knowledge, and computer anxiety. Human Factors: The Journal of the Human Factors and Ergonomics Society, 41(3), 345-355.
Evandrou, M., & Glaser, K. (2004). Family, work and quality of life: Changing economic and social roles through the life course. Ageing & Society, 24(5), 771-791.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Boston, MA: Addison-Wesley.
Fornell, C., & Bokstein, F. L. (1982). Two structural equationmodels:LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Franco, G. C., Gallay, F., Berenguer, M., Mourrain, C., & Couturier, P. (2008). Non-invasive monitoring of the activities of daily living of elderly people at home-a pilot study of the usage of domestic appliances. Journal of Telemedicine and Telecare, 14(5), 231-235.
Given, B. A., & Given, C. W. (1989). Compliance among Patients with Cancer. Oncology Nursing Forum, 16, 97-103.
Goldfield, N. I., McCullough, E. C., Hughes, J. S., ang, A. M., Eastman, B., Rawlins, L. K., & Averill, R. F. (2008). Identifying potentially preventable readmissions. Health Care Financ Rev, 30(1), 75-91.
Green, B. B., Cook, A. J., Ralston, J. D., Fishman, P. A., Catz, S. L., & Carlson, J. (2008). Effectiveness of Home Blood Pressure Monitoring, Web Communication, and Pharmacist Care on Hypertension Control: The e-BP Randomized ControlledTrial. The Journal of the American Medical Association, 299(24), 2857-2867.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1992). Multivariate data analysis. New York, NY: Macmillan.
Hanson, V. L. (2010). Influencing technology adoption by older adults. Interacting with Computers, 22(6), 502-509.
Heinz, M., Martin, P., Margrett, J. A., Yearns, M., Franke, W., Yang, H.-I., . . . Chang, C. K. (2013). Perceptions of technology among older adults. J. Gerontol Nurs, 39(1), 42-51.
Henke, M. (1999). Promoting independence in older persons through the Internet. CyberPsychology & Behavior, 2(6), 521-527.
Hong, S.-J., Lui, C. S. M., Hahn, J., Moon, J. Y., & Kim, T. G. (2013). How old are you really? Cognitive age in technology acceptance. Decision Support Systems, 56, 122-130.
Hong, W. Y., Thong, J. Y. L., Wong, W. M., & Tam, K. Y. (2002). Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics. Journal of Management Information Systems, 18(3), 97-124.
Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853-868.
Huang, J. C., & Lee, Y. C. (2013). Model construction for the intention to use telecare in patients with chronic diseases. International Journal of Telemedicine and Applications. http://dx.doi.org/10.1155/2013/650238
Hung, M. C., & Jen, W. Y. (2012). The adoption of mobile health management services: An empirical study. Journal of Medical Systems, 36(3), 1381-1388.
Jaana, M., Pare, G., & Sicotte, C. (2009). Home telemonitoring for respiratory conditions: A systematic review. American Journal Managed Care, 15(5), 313-320.
Jon, J., Carter, P. E., & Zmud, R. W. (2005). A Comprehensive Conceptualization of Post-adoptive Behaviors Associated with Information Technology Enabled Work Systems. MIS Quarterly, 29(3), 525-557.
Jones, L. W., Guill, B., Keir, S. T., & Carter, K. (2007). Using the theory of planned behavior to understand the determinants of exercise intention in patients diagnosed with primary brain cancer. Psycho‐Oncology, 16(3), 232‐245.
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption a cross time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS quarterly, 23(2), 183-213.
Kim, D. (2012). An investigation of the effect of online consumer trust on expectation, satisfaction, and post-expectation. Information Systems and e-Business Management, 10(2), 219-240.
Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management science, 51(5), 741-755.
Kraskowsky, L. H., & Finlayson, M. (2001). Factors affecting older adults’ use of adaptive equipment: Review of the literature. The American Journal of Occupational Therapy, 55(3), 303-310.
Kuo, F. Y., Chu, T. H., Hsu, M. H., & Hsieh, H. S. (2004). An Investigation of Effort-accuracy Tradeoff and the Impact of Self-efficiency on Web Searching Behaviors. Decision Support Systems, 37(3), 331-342.
Lee, C. C., Czaja, S. J., & Sharit, J. (2009). Training older workers for technology-based employment. Educational Grontology, 35(1), 15-31.
Lee, M.-C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education, 54(2), 506-516.
Lev, E. L. (1997). Bandura’ s theory of self- efficacy: Application in oncology. Research and Theory for Nursing Practice, 11, 21-36.
Liao, C., Chen, J.-L., & Yen, D. C. (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6), 2804-2822.
Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 29-39.
Magro, M. J., Ryan, S. D., & Prybutok, V. R. (2013). The Social Network Application Post-Adoptive Use Model (SNAPUM): A Model Examining Social Capital and Other Critical Factors Affecting the Post-Adoptive Use of Facebook Informing Science, The International Journal of an Emerging Transdiscipline, 16, 37-69.
Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification on the construct and an intergrative framework for research. Information Systems Research, 9(2), 126-163.
Maric, B., Kaan, A., Ignaszewski, A., & Lear, S. A. (2009). A systematic review of telemonitoring technologies in heart failure. European Journal Heart Failure, 11(5), 506-517.
Masatsugu Tsuji (2002). The Telehomecare/Telehealth System in Japan. Bussiness Briefing: Clobal HealthCare.
Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50(4), 370-396.
Melenhorst, A.-S., Rogers, W. A., & Bouwhuis, D. G. (2006). Older adults' motivated choice for technological innovation: Evidence for benefit-driven selectivity. Psychology and aging, 21(1), 190-195.
Miles, M. B., & Huberman, A. M. (1994). Qualitative Data Analysis: An Expanded Sourcebook. Thousand Oaks,CA: Sage.
Miller, E. A. (2007). Solving the disjuncture between research and practice: Telehealth trends in the 21st century. Health Policy, 82(2), 133-141.
Miller, H. D. (2009). From Volume to Value: Better Ways to Pay for Health Care. Health Affairs, 28(5), 1418-1428.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
Muro, M. J., Pedro-Cuesta, J., Almazan, J., & Holmqvist, L. W. (2000). Stroke patients in South Madrid: Function and motor recovery, resource utilization, and family support. Stroke, 31(6), 1352-1359.
Nettle, C., Pravalick, J., James, N., & Beltz, C. (1993). Family as client: using Gordon's health pattern topology. Journal of Community Health Nursing, 10, 53-61.
Nijhof, N., Hoeven, C. L., & Jong, M. D. T. (2008). Determinants of use of a diabetes risk‐screening test. Community Health, 33(8), 313‐317.
Nummela, O., Sulander, T., Rahkonen, O., Karisto, A., & Uutela, A. (2008). Social participation, trust and self-rated health: A study among ageing people in urban, semi-urban and rural settings. Health & Place, 14(2), 243-253.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 17(4), 460-469.
Palank, C. L. (1991). Determinants of health-promotive behavior-Areview of current research. Nursing Clinics of North America, 26(4), 815-829.
Paré, G., Jaana, M., & Sicotte, C. (2007). Systematic review of home telemonitoring for chronic diseases: the evidence base. Journal of the American Medical Informatics Association, 14(3), 269-277.
Park, H., Chon, Y., Lee, J., Choi, I. J., & Yoon, K. H. (2011). Service design attributes affecting diabetic patient preferences of telemedicine in South Korea. Telemedicine and e-Health, 17(6), 442-451.
Peeters, J. M., de Veer, A. J., van der Hoek, L., & Francke, A. L. (2012). Factors influencing the adoption of home telecare by elderly or chronically ill people: a national survey. Journal of Clinical Nursing, 21, 3183-3193.
Pender, N. J. (1987). Health promotion in nursing practice. CT: Appleton & Lange.
Pender, N. J. (1996). Health promotion in nursing practice. CT: Appleton & Century-Crofts.
Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999-1007.
Porter, L. W., & Steers, R. M. (1973). Organizational, work, and personal factors in employee turnover and absenteeism. Psychological bulletin, 80(2), 151.
Posadzki, P., Sheetal, P., & Nel, G. (2010). Yoga and Qigong in the Psychological Prevention of Mental Health Disorders: A Conceptual Synthesis. Chin J Integr Med, 16(1), 80-86.
Rai, A., Chen, L., Pye, J., & Baird, A. (2013). Understanding determinants of consumer mobile health usage intentions, assimilation, and channel preferences. Journal of Medical Internet Research, 15(8).
Rantz, M. J., Skubic, M., Miller, S. J., Galambos, C., Alexander, G., Keller, J., & Popescu, M. (2013). Sensor Technology to Support Aging in Place. Journal of the American Medical Directors Association, 14(6), 386-391.
Rivis, A., & Sheeran, P. (2003). Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis. Current Psychology: Developmental, Learning, Personality, Social, 22, 218-233.
Robert, K., & Angelo, K. (2001). Organizational behavior. New York, NY: McGraw-Hill.
Ruch, W., & Proyer, R. T. (2009). Extending the studying of gelotophobia: On gelotophilies and katagelasticsits. International Journal of Humor Research, 22(1/2), 183-212.
Santhanamery, T., & Ramayah, T. (2014). Explaining the e-Government Usage Using Expectation Confirmation Model: The Case of Electronic Tax Filing in Malaysia. Government e-Strategic Planning and Management, 3, 287-304.
Sayago, S., Sloan, D., & Blat, J. (2011). Everyday use of computer-mediated communication tools and its evolution over time: An ethnographical study with older people. Interacting with Computers, 23(5), 543-554.
Schmitter-Edgecombe, M., Seelye, A., & Cook, D. (2013). Technologies for Health Assessment, Promotion, and Assistance: Focus on Gerontechnology. Positive Neuropsychology, 143-160.
Schomerus, G., Matschinger, H., & Angermeyers, M. C. (2009). Attitudes that determine willingness to seek psychiatric help for depression: A representative population survey applying the theory of planned behaviour. Psychological Medicine, 39(11), 1855-1865.
Schwarzer, R. (1992). Self-efficacy in the adoption and maintenance of health behaviors: Theoretical approach and a new model. Washington, DC: Hemisphere,.
Spijker, J., & MacInnes, J. (2013). Population ageing: the timebomb that isn’t? BMJ, 347.
Steel, D. M., & Gray, M. A. (2009). Baby boomers' use and perception of recommended assistive technology: A systematic review. Disability & Rehabilitation. Assistive Technology, 4(3), 129-136.
Szymanski, D. M., & Henard, D. H. (2001). Customer satisfaction: A meta-analysis of the empirical evidence. Journal of the academy of marketing science, 29(1), 16-35.
Tang, J.-t. E., Tang, T.-I., & Chiang, C.-H. (2014). Blog learning: effects of users' usefulness and efficiency towards continuance intention. Behaviour & Information Technology, 33(1), 36-50.
Taylor, S., & Todd, P. (1995). An integrated model of waste managient behavior: A test of household recycling and composting intentions. Environment and Behavior, 27, 603-630.
Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176.
Thoits, P. A. (1986). Social Support as an Assistance. Journal of Consulting and Clinical Psychology, 54(4), 416-423.
Titze, M. (1996). The Pinocchio complex: Overcoming the fear of laughter. Humor & Health Journal of Advertising Research, 5, 1-11.
Titze, M. (2009). Gelotophobia: The fear of being laughed at. International Journal of Humor Research, 22(1/2), 27-48.
Tomita, M. R., Mann, W. C., Stanton, K., Tomita, A. D., & Sundar, V. (2007). Use of Currently Available Smart Home Technology by Frail Elders: Process and Outcomes. Topics in Geriatric Rehabilitation, 23(1), 24-34.
Torp, S., Hanson, E., Hauge, S., Ulstein, I., & Magnusson, L. (2008). A pilot study of how information and communication technology may contribute to health promotion among elderly spousal carers in Norway. Health Social Care in the Community, 16(1), 75-85.
van der Mei, S. F., Krol, B., van Son, W. J., De Jong, P. E., Groothoff, J. W., & van den Heuvel, W. J. (2006). Social participation and employment status after kidney transplantation: A systematic review. Quality of Life Research, 15(6), 979-994.
van Hoof, J., Kort, H. S. M., Rutten, P. G. S., & Duijnstee, M. S. H. (2011). Ageing-in-place with the use of ambient intelligence technology: Perspectives of older users. International Journal of Medical Informatics, 80(5), 310-331.
Vasunilashorn, S., Steinman, B. A., Liebig, P. S., & Pynoos, J. (2011). Aging in place: Evolution of a research topic whose time has come. Journal of aging research, 2012.
Venkatesh, V., & Brown, S. A. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399-426.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27, 451-481.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Verdonschot, M. M. L., de Witte, L. P., Reichrath, E., Buntinx, W. H. E., & Curfs, L. M. G. (2009). Impact of environmental factors on community participation of persons with an intellectual disability: A systematic review. Journal of Intellectual Disability Research, 53(1), 54-64.
Verhoeven, F., van Gemert-Pijnen, L., Dijkstra, K., Nijland, N. S., E., & Steehouder, M. (2007). The contribution of teleconsultation and videoconferencing to diabetes care: a systematic literature review. Journal of Medical Internet Research, 9(5), e37.
Wade, R., Cartwright, C., & Shaw, K. (2012). Factors relating to home telehealth acceptance and usage compliance. Risk management and healthcare policy, 5, 25.
Walker, S. N., Sechrist, K. R., & Pender, N. J. (1987). The health promoting lifestyle Profile: Development and psychometric characteristics. Nursing Research, 36(2), 77-81.
Wan He, Manisha Sengupta, Victoria A. Velkoff, & DeBarros, K. A. (2005). 65+ in the United States: 2005: U.S. Department of Commerce Economics and Statistics Administration.
Wolff, J. L., Starfield, B., & Anderson, G. (2002). Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Archives of Internal Medicine, 162(20), 2269.
Yen, Y.-R., & Tsai, B.-Y. (2011). Exploring the Influential Factors Toward the Continuance Intention of On-line Books Purchase. International Journal of Organizational Innovation, 3(4), 140-157.
Yeom, H. A., Fleury, J., & Keller, C. (2008). Risk factors for mobility limitation in community-dwelling older adults: a social ecological perspective. Geriatric Nursing, 29(2), 133-140.
三、網路參考資料
行政院內政部統計處 (2013)。2013年7月底人口結構分析. 2014年11月3日。取自：http://www.moi.gov.tw/stat/news_content.aspx?sn=7685
行政院衛生署國民健康局 (2008)。中老年身心社會生活狀況長期追蹤調查系列。2014年11月3日。取自： http://www.bhp.doh.gov.tw/BHPnet/Web/HealthTopic/Topic.aspx?id=200712270002
洪凱音 (2015)。高齡人口飆升台灣恐成全球第2老國家。2015年5月4日。取自：http://www.chinatimes.com/newspapers/20150130000534-260106
國家發展委員會 (2014)。全球人口老化之現況與趨勢。2015年2月20日。取自： http://www.ndc.gov.tw/dn.aspx?uid=13789
Brodsky, J., Habib, J., & Hirschfeld, M. (2003). Key Policy Issues in Long-Term Care. March 2, 2014. Retrieved from http://www.who.int/chp/knowledge/publications/policy_issues_ltc/en/
Day, G.-i. (2011). Planning for the Health Insurance Policy from a Preventive Medicine Perspective: per Capital Payment Plan. April 20, 2014 .Retrieved from http://www.nhi.gov.tw/Resource/webdata/19158_1_%E7%94%B1%E9%A0%90%E9%98%B2%E9%86%AB%E5%AD%B8%E8%A7%92%E5%BA%A6%E8%A6%8F%E5%8A%83%E4%B9%8B%E5%81%A5%E4%BF%9D%E6%94%BF%E7%AD%96-%E8%AB%96%E4%BA%BA%E8%A8%88%E9%85%AC%E8%A9%A6%E8%BE%A6%E8%A8%88%E7%95%AB1000429.pdf.
United Nations. (2007). World Population Ageing 2007. Department of Economic and Social Affairs, United Nations. August 1, 2014. Retrieved from
http://www.un.org/esa/population/publications/WPA2007/wpp2007.htm.
WHO. (2002). Active aging: A policy framework. August 1, 2014. Retrieved from
http://www.who.int/ageing/publications/active_ageing/en/
WHO. (2009). Older people and Primary Health Care. August 1, 2014. Retrieved from
http://www.who.int/ageing/primary_health_care/en/index.html
WHO. (2013). Milestones in health promotion. August 1, 2014. Retrieved from http://www.who.int/healthpromotion/en/