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博碩士論文 etd-0204113-061307 詳細資訊
Title page for etd-0204113-061307
論文名稱
Title
個人化簡訊提示與醫療基礎之遠距健康照護模式對職場高血壓自我健康管理之成效研究
Effectiveness of Personalized Short Messages Prompting Based and Medical Care Based Telehealthcare Models on Self Health Management in a Workplace Population with Hypertension at Risk
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
117
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2013-01-23
繳交日期
Date of Submission
2013-02-04
關鍵字
Keywords
職場自我健康管理、慢性病照護模式、社會認知理論、高血壓、遠距健康照護、個人化簡訊、隨機分派試驗
Telehealthcare, Hypertension, Chronic care model, RCT, Workplace self health management, Tailored message, Social cognitive theory
統計
Statistics
本論文已被瀏覽 5737 次,被下載 490
The thesis/dissertation has been browsed 5737 times, has been downloaded 490 times.
中文摘要
背景:本研究目的為(1)發展一個以個人化簡訊提示為基礎(PSMP)的遠距健康照護模式,該模式為修改自個案醫院以醫療為基礎的遠距健康照護模式。(2)發展一個隨機分派試驗,以驗證這兩個照護模式對職場高血壓風險族群健康管理之成效。
方法:研究首先發展一個以醫療為基礎的遠距健康照護模式。其後依據理論與實務設計一套個人化簡訊提示系統與遠距健康照護模式。最後發展一個三臂的研究設計,總樣本個數為441人,追蹤三個月,採雙盲隨機分派實驗。
結果:研究顯示這兩種遠距健康照護模式均能顯著提高受測者高血壓自我效能感。介入模式能提高受測者平日運動天數、改善居家血壓量測次數與職場血壓量測次數。研究介入效果顯著受到高血壓管理自我效能感中介。
結論:以醫療為基礎的遠距健康照護模式及以個人化簡訊為基礎的遠距健康照護模式對職場高血壓風險族群的自我健康管理成效均顯著高於對照組,兩者模式之介入效果則相近無顯著差異。
Abstract
Background. The research purposes are: (1) to develop a personalized short message prompting based (PSMP) telehealthcare model: The model is modified by the medical care based telehealthcare model developed in the case hospital; and (2) to validate the efficacy of the developed model with a randomized controlled trial in a workplace population with hypertension at risk.
Method. The study first developed a medical care based telehealthcare model in a case hospital. Next, a PSMP protocol was designed and carried out a randomized controlled trial. A totally 441 participants finished the 3 months trial and were randomized assigned with double blinded to the three-arm trial.
Result. The interventions of both telehealthcare models can significantly enhance the belief of self-efficacy comparing to the control condition. The interventions effects include physical activity, blood pressure measurement at home, and blood pressure measurement at workplace. The mediation effect is significantly on blood pressure measurement at home, rather than on blood pressure at workplace.
Conclusion. The medical care based telehealthcare model and the PSMP telehealthcare model were found to be effective in enhancing individual’s psychological states and health-related self management behaviors with regard to hypertension at risk. No significant differences were found in the two telehealthcare models.
目次 Table of Contents
摘要 ……………………………………………………………….………………….i
Abstract ………….…………………………………………………………………….……ii
Table of Contents iii
List of Figures iv
List of Tables v
Chapter One: Introduction 7
Chapter Two: Literature Review 11
2.1. Telehealthcare and the chronic care model 11
2.2. Enhancing the self health management and social cognitive theory 16
2.3. Message personalizing and health communication 20
2.4. Summary 25
Chapter Three: Interventions Design 27
3.1. Development of a medical care based telehealthcare model 27
3.2. Development of a personalized short message prompting based telehealthcare model 40
Chapter Four: Hypotheses and the Randomized Controlled Trial 57
4.1. The use of RCT paradigms 57
4.2. Hypotheses 58
4.3. Experiment design 59
Chapter Five: Results 67
5.1. Descriptive analyses of baseline variables 67
5.2. Interventions effect on psychological outcomes 70
5.3. Interventions effect on behavioral and health outcomes 74
5.4. Interventions effect on behavioral and health outcomes: psychological variable mediated controlled 86
Chapter Six: Discussion 89
6.1. Research summary and general discussion 89
6.2. Implications for IS 93
6.3. Limitations and future studies 95
References 98
Appendix 1. The research questionnaire (in Chinese) 112
參考文獻 References
1. 2011 Statistics of causes of death (Taiwan). Department of Health (DOH). Last cited on 2012 Oct 31. Available from: http://www.doh.gov.tw/EN2006/DM/DM2.aspx?now_fod_list_no=12402&class_no=390&level_no=2
2. AbuDagga A, Resnick HE, and Alwan M. Impact of blood pressure telemonitoring on hypertension outcomes: a literature review. Telemedicine and E-Health 2010; 16(7): 830-838.
3. Aittasalo M, Miilunpalo S, Kukkonen-Harjula K, Pasanen M. A randomized intervention of physical activity promotion and patient self-monitoring in primary health care. Prev Med 2006; 42(1): 40-46.
4. Bandura, A. Self-efficacy: The exercise of control. New York: Freeman. 1997a.
5. Bandura, A. Self-efficacy: Toward a unifying theory of behavioral change. Psychol Rev 1977b; 84(2): 191-215.
6. Bandura A. Social foundations of thought and action: A social cognitive theory. Prentice Hall: Englewood Cliffs, NJ. 1986.
7. Bandura A. Health promotion by social cognitive means. Health Educ Behav 2004; 31:143–64.
8. Baron RA, Byrne D, Branscombe NR. Mastering Social Psychology. Boston, MA: Pearson Education, Inc. 2007.
9. Baron RM, Kenny DA. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J Per Soc Psychol 1986; 51(6): 1173-1182.
10. Bartholomew L, Parcel G, Kok G, Gottlieb N. Planning health promotion programs. San Francisco, CA: Jossey-Bass. 2006.
11. Beaglehole R., Epping-Jordan J, Patel V, Chopra M, Ebrahim S, Kidd M, Haines A . Improving the prevention and management of chronic disease in low-income and middle-income countries: a priority for primary health care. The Lancet 2008; 372: 940–949.
12. Bennett H, Laird K, Margolius D, Ngo V, Thom DH, Bodenheimer T. The effectiveness of health coaching, home blood pressure monitoring, and home-titration in controlling hypertension among low-income patients: protocol for a randomized controlled trial. BMC Public Health 2009; 9: 456.
13. Brug J, van Assema P. Differences in use and impact of computer-tailored dietary fat-feedback according to stage of change and education. Appetite 2000; 34(3): 285-293.
14. Boutelle KN, Kirschenbaum DS. Further support for consistent self-monitoring as a vital component of successful weight control. Obes Res 1998; 6(3): 219-224.
15. Bulletin of Interior Statistics, Ministry of the Interior. Republic of China. Taipei: Executive Yuan, Taiwan (in Chinese). 2010.
16. Bowen D, Raczynski J, George V, Feng Z, Fouad M. The role of participation in the women's health trial: feasibility study in minority populations. Prev Med 2000 ; 31(5): 474-480.
17. Burke LE, Conroy MB, Sereika SM, Elci OU, Styn MA, Acharya SD, et al. The effect of electronic self-monitoring on weight loss and dietary intake: a randomized behavioral weight loss trial. Obesity 2011; 19(2): 338-344.
18. Butryn ML, Phelan S, Hill JO, Wing RR. Consistent self-monitoring of weight: a key component of successful weight loss maintenance. Obesity 2007; 15(12): 3091-3096.
19. Cappuccio FP, Kerry SM, Forbes L, Donald A. Blood pressure control by home monitoring: meta-analysis of randomised trials. BMJ 2004; 329 (7458):145.
20. Carels RA, Darby LA, Rydin S, Douglass OM, Cacciapaglia HM, O'Brien WH. The relationship between self-monitoring, outcome expectancies, difficulties with eating and exercise, and physical activity and weight loss treatment outcomes. Ann Behav Med 2005; 30(3): 182-190.
21. Cervone D. Effects of envisioning future activities on self-efficacy judgments and motivation: an availability heuristic interpretation. Cog Ther Res 1989; 13: 247–261.
22. Cervone D, Peake PK. Anchoring, efficacy, and action: the influence of judgmental heuristics on self-efficacy judgments and behavior. J Per Soc Psychol 1986; 50(3): 492-501.
23. Chen CJ, Yang MS, Chen CH. Vision of long term care: a family-centered geriatric care (In CHinese). J Long Term Care 2004; 7(4):386-398.
24. Chen FL, Lee RL. Taiwan Guidelines for the Management of hypertension 2006 (In Chinese). Bureau of Health Promotion (BHP). 2006. Available from: http://www.bhp.doh.gov.tw/manual/question_016_001.html.
25. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL , et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of high blood pressure. Hypertension 2003; 42(6): 1206-52.
26. Cole-Lewis H, Kershaw T. Text Messaging as a Tool for Behavior Change in Disease Prevention and Management. Epidemiol Rev 2010: 32:56-69.
27. Coleman K, Austin BT, Brach C, Wagner EH. Evidence on the chronic care model in the new millennium. Health Affairs 2009; 28: 75–85.
28. Compeau DR, Higgins CA. Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly 1995; 19(2): 189-211.
29. Conroy MB, Yang K, Elci OU, Gabriel KP, Styn MA, Wang J, et al. Physical activity self-monitoring and weight loss: 6-month results of the SMART trial. Med Sci Sports Exerc 2011; 43(8): 1568-1574.
30. DeBusk RF, et al. A case-management system for coronary risk factor modification after acute myocardial infarction. Ann Intern Med 1994; 120(9): 721-9.
31. Dijkstra A, De Vries H. The development of computer-generated tailored interventions in smoking cessation. Patient Educ Counsel 1999; 36: 193–203.
32. Dijkstra A. The psychology of tailoring-ingredients in computer-tailored persuasion. Soc Pers Psychol Compass 2008; 2: 765–784.
33. Fahey T, Schroeder K, Ebrahim S. Interventions used to improve control of blood pressure in patients with hypertension. Cochrane Database Syst Rev 2006; 2:CD005182.
34. Feldman PH, McDonald MV, Mongoven JM, Peng TR, Gerber LM, Pezzin LE. Home-based blood pressure interventions for blacks. Circ Cardiovasc Qual Outcomes 2009; 2(3):241-248.
35. Ferrier S, Blanchard CM, Vallis M, Giacomantonio N. Behavioural interventions to increase the physical activity of cardiac patients: a review. Eur J Cardiovasc Prev Rehabil 2011; 18(1): 15-32.
36. Field M J, Grigsb J. Telemedicine and Remote Patient Monitoring. JAMA 2002; 288: 423-425.
37. Fjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med 2009, 36(2):165-173.
38. Gallefoss F, Bakke PS, Rsgaard PK, Quality of life assessment after patient education in a randomized controlled study on asthma and chronic obstructive pulmonary disease. Am J Respir Crit Care Med 1999; 159(3): 812-7.
39. Gallefoss F, Bakke PS. How does patient education and self-management among asthmatics and patients with chronic obstructive pulmonary disease affect medication? Am J Respir Crit Care Med 1999; 160(6): 2000-5.
40. Ghisletta P, Spini D. An introduction to generalized estimating equations and an application to assess selectivity effects in a longitudinal study on very old individuals. J Educ Behav Stat 2004; 29(4): 421–437.
41. Glynn LG, Schroeder K, Fahey T. Interventions used to improve control of blood pressure in patients with hypertension. Cochrane Database of Sys Rev 2010, (3):1-3.
42. Gortmaker SL, Swinburn BA, Levy D, Carter R, Mabry PL, Finegood DT, Huang T, Marsh T, Moodie ML. Changing the future of obesity: science, policy, and action. Lancet 2011; 378(9793): 838-47.
43. Granger CV, Dewis LS, Peters NC, Sherwood CC, Barrett JE. Stroke rehabilitation: analysis of repeated Barthel index measures. Arch Phys Med Rehabil 1979; 60:14-17.
44. Green BB, Ralston JD, Fishman PA, Catz SL, Cook AJ, Carlson J, et al. Electronic Communications and Home Blood Pressure Monitoring (e-BP) study: Design, delivery, and evaluation framework. Contemporary Clinical Trials 2008a; 29(3): 376-395.
45. Green BB, Cook AJ, Ralston JD, Fishman PA, Catz SL, Carlson J, et al. Effectiveness of Home Blood Pressure Monitoring, Web Communication, and Pharmacist Care on Hypertension Control: A Randomized Controlled Trial. JAMA 2008b; 299(24): 2857-2867.
46. Hawkins RP, Kreuter M, Resnicow K, Fishbein M, Dijkstra A. Understanding tailoring in communicating about health. Health Educ Res 2008; 23: 454–466.
47. Hillestad R, Bigelow JH. Health information technology: can HIT lower costs and improve quality? Santa Monica, CA: Rand Corporation. 2005.
48. Institution of Medicine, Crossing the quality chasm: A new health system for the 21st Century. 5th ed, ed. I.O. Medicine. 2008, Washington, DC.: National Academy Press.
49. Jahan R, Duckwiler GR, Kidwell CS, Sayre JW, Gobin YP, Villablanca JP, et al. Intra-arterial thrombolysis for treatment of acute stroke: experience in 26 patients with long-term follow-up. Am J of Neuroradio 1999; 20: 1291-1299.
50. Kathleen D. Treatment-seeking behavior among those with signs and symptoms of acute myocardial infarction. Heart Lung 1991; 20: 570-575.
51. Kelders SM, Van Gemert-Pijnen J, Werkman A, Nijland N, Seydel E. Effectiveness of a Web-based intervention aimed at healthy dietary and physical activity behavior: a randomized controlled trial about users and usage. J Med Internet Res 2011; 13(2): e32.
52. Kelders SM, Kok RN, Ossebaard HC, Gemert-Pijnen JV. Persuasive system design does matter: a systematic review of adherence to web-based interventions. J Med Internet Res 2012; 14(6): e152.
53. Kevin D, Keith C, Paul G. Three generations of telecare of the elderly. J Telemedicine and Telecare 1996; 2: 71-80.
54. Kerlinger FN, Lee HB. Foundations of Behavioral Research. Thomson Learning. New York. 2000.
55. Khan N, Chockalingam A, Campbell NR. Lack of control of high blood pressure and treatment recommendations in Canada. Can J Cardio 2002; 18(6): 657-661.
56. Kreuter MW, Skinner CS. Tailoring: What’s in a name? Health Educ Res 2000; 15: 1–4.
57. Kreuter MW, Bull FC, Clark EM, Oswald DL. Understanding how people process health information: a comparison of tailored and untailored weight loss materials. Health Psychol 1999; 18: 487–494.
58. Kreuter M, Farrell D, Olevitch L, Brennan L. Tailoring health messages: Customizing communication with computer technology. Mahwah, NJ: Erlbaum. 2000.
59. Kreuter MW, Skinner CS, Holt CL, Clark EM, Haire-Joshu DFQ et al. Cultural tailoring for mammography and fruit and vegetable intake among low-income African American women in urban public health centers. Prev Med 2005; 41: 53–62.
60. Kreuter MW, Wray R. Tailored and targeted health communication: strategies for enhancing information relevance. Am J Health Behav 2003; 27(Suppl.3): S227–32.
61. Kok G, Schaalma H, Ruiter RA, van Empelen P, Brug J. Intervention mapping: protocol for applying health psychology theory to prevention programmes. J health psychol 2004; 9(1): 85-98.
62. Kuo YH, Chien YK, Wang WR, Chen CH, Chen LS, Liu CK. Development of a home-based telehealthcare model for improving the effectiveness of the chronic care of stroke patients. Kaohsiung J Med Sci. 2012; 28(1):38-43.
63. Lorig KR, Ritter PL, Laurent DD, Plant K. Internet-based chronic disease self-management: a randomized trial. Med Care 2006; 44(11):964–71.
64. Lorig KR, Sobel DS, Ritter PL, Laurent D, Hobbs M. Effect of a self-management program on patients with chronic disease. Eff Clin Pract 2001; 4(6):256–62.
65. Lustria ML, Cortese J, Noar SM, Glueckauf RL. Computer-tailored health interventions delivered over the web: review and analysis of key components. Patient Educ Counsel.2009;74(2):156–73.
66. Mahoney FI, Barthel DW. Functional evaluation: the Barthel Index. Md State Med J 1965; 14:61-65.
67. McManus RJ, Mant J, Bray EP, Holder R, Jones MI, Greenfield S, Kaambwa B, Banting M, Bryan S, Little P, Williams B, Hobbs FD. Telemonitoring and self-management in the control of hypertension (TASMINH2): a randomized controlled trial. Lancet 2010; 376(9736): 163-72.
68. Marian PL, Mona NB, Peter H, Mohammed YP, Karen LY, Ruwani G, et al. Telemedicine for Acute Stroke: Triumphs and Pitfalls. Stroke 2003; 34:725-728.
69. McConnell S. Software Estimation: Demystifying the Black Art. Microsoft Press. 2006.
70. McCulloch DK, Price MJ, Hindmarsh M, Wagner EH. A population-based approach to diabetes management in a primary care setting: early results and lessons learned. Eff Clin Pract 1998; 1(1):12–22.
71. McFerran B, Dahl DW, Fitzsimons GJ, Morales AC. I'll have what she's having: effects of social influence and body type on the food choices of others. J Consu Res 2010; 36: 915−929.
72. Merenich JA, et al. Mortality reduction benefits of a comprehensive cardiac care program for patients with occlusive coronary artery disease. Pharmacotherapy 2007l; 27(10): 1370-8.
73. Meyers-Levy J, Malaviya P. Consumers' processing of persuasive advertisements: an integrated framework of persuasion theories, J Marketing 1999; 63 (Special Issue): 45-60.
74. Meyers-Levy J, Maheswaran D. Exploring message framing outcomes when systematic, heuristic, or both types of processing occur. J Consu Psychol. 2004; 14:159–167.
75. Myers T, editor. Mosby's Medical Dictionary, 8th edition. New York: Mosby Elsevier. 2009.
76. Nelder JA, Wedderburn RWM. Generalized linear models. J the Royal Stat Society 1972 Series A, 135: 370–384.
77. Noar SM, Benac C, Harris M. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psycho Bulletin 2007; 113: 673–693.
78. Noar SM, Harrington GN, Aldrich R. The role of message tailoring in the development of persuasive health communication messages. In Communication Yearbook. 33. Edited by Beck CS. NY, Routledge; 2009.
79. Norris SL, Engelgau MM, Narayan KM, Effectiveness of self-management training in type 2 diabetes: a systematic review of randomized controlled trials. Diabetes Care 2001; 24(3): 561-87.
80. Ofman JJ, Badamgarav E, Henning JM, Knight K, Gano AD JR, Levan RK, et al. Does disease management improve clinical and economic outcomes in patients with chronic diseases? A Systematic Review. Am J Med 2004; 117: 182-92.
81. Ohkubo T, Asayama K, Kikuya M, Metoki H, Hoshi H, Hashimoto J, et al. How many times should blood pressure be measured at home for better prediction of stroke risk? Ten-year follow-up results from the Ohasama study. J Hypertens 2004; 22(6): 1099-104.
82. Parati G, Stergiou G. Self blood pressure measurement at home: how many times? J Hypertens 2004; 22(6): 1075-9.
83. Park MJ, Kim HS, Kim KS. Cellular phone and Internet-based individual intervention on blood pressure and obesity in obese patients with hypertension. Int J Med Inform 2009;78:704–10.
84. Palfai TP. Activating action tendencies: The influence of action priming on alcohol consumption among male hazardous drinkers. J Studies Alcohol 2006; 67: 923–933.
85. Peake PK, Cervone D. Sequence anchoring and self-efficacy: primacy effects in the consideration of possibilities. Soc Cog 1989; 7: 31–50.
86. Petty RE, Cacioppo JT. Attitudes and persuasion: Classic and contemporary approaches. Dubuque, IA: Brown. 1981.
87. Proceedings of a National Symposium on Rapid Identification and Treatment of Acute Stroke. National Institute of Neurological Disorders and Stroke (NINDS). Washington. 1997.
88. Porsche R. Hypertension: diagnosis, acute antihypertension therapy, and long-term management, AACN Clinical Issues 1995; 6:515-25.
89. Resnicow K, Davis RE, Zhang G, Konkel J, Strecher VJ, Shaikh AR, et al. Tailoring a fruit and vegetable intervention on novel motivational constructs: Results of a randomized study. Ann Behav Med 2008; 35: 159–169.
90. Rich MW, et al., A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure. N Engl J Med 1995; 333(18): 1190-5.
91. Shadel WG, Cervone D. Evaluating social-cognitive mechanisms that regulate self-efficacy in response to provocative smoking cues: an experimental investigation. Psychol Addictive Behav 2006; 20: 91–96.
92. Schulz KF, Grimes DA. The Lancet handbook of essential concepts in clinical research. London: Elsevier. 2006.
93. Simkin-Silverman LR, Gleason KA, King WC, Weissfeld LA, Buhari A, Boraz MA, Wing RR. Predictors of weight control advice in primary care practices: patient health and psychosocial characteristics. Prev Med 2005; 40(1): 71-82.
94. Smeesters D, Mussweiler T, Mandel N. (2010). The effects of thin and heavy media images on overweight and underweight consumers: social comparison processes and behavioral implications. J of Consu Res 2010; 36: 930−949.
95. Staessen JA, Wang JG, Thijs L. Cardiovascular protection and blood pressure reduction: a meta-analysis. Lancet 2001; 358(9290): 1305-15.
96. Strecher VJ, McClure JB, Alexander GL, Chakraborty B, Nair VN, Konkel JM, et al. Web-based smoking-cessation programs: results of a randomized trial. Am J Prev Med; 34: 373–381.
97. Taiwan's Telehealth Pilot Project. Department of Health (DOH). 2008b. Last cited on 2012 Oct 30. Available from: http://doh.telecare.com.tw/aboutus.aspx Tinker LF, Rosal MC, Young AF, Perri MG, Patterson RE, Van Horn L, et al. Predictors of dietary change and maintenance in the Women's Health Initiative Dietary Modification Trial. J Am Diet Assoc 2007; 107(7): 1155-1166.
98. The pilot project for stroke monitoring. Bureau of Health Promotion (BHP). 2008. Available from: http://www.bhp.doh.gov.tw/BHPnet/Portal/PressShow.aspx?No=200712250395
99. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC 7). National Heart Lung and Blood Institute. 2012. Last cited on 2012 Oct 31. Available from: http://www.nhlbi.nih.gov/guidelines/hypertension/
100. The stroke management program in Taiwan. Bureau of Health Promotion. 2007. Available from: http://www.bhp.doh.gov.tw/BHPnet/Portal/Them_Show.aspx?Subject=200712250012&Class=2&No=200712250065
101. Tversky A, Kahneman D. Judgments under uncertainty: heuristics and biases. Science 1974; 185: 1124-1131.
102. van Wormer JJ, French SA, Pereira MA, Welsh EM. The impact of regular self-weighing on weight management: a systematic literature review. Int J Behav Nutr Phys Act 2008; 5: 54.
103. van Wormer JJ, Martinez AM, Martinson BC, Crain AL, Benson GA, Cosentino DL, et al. Self-weighing promotes weight loss for obese adults. Am J Prev Med 2009; 36(1): 70-73.
104. van Stralen MM, de Vries H, Bolman C, Mudde AN, Lechner L. Exploring the efficacy and moderators of two computer-tailored physical activity interventions for older adults: a randomized controlled trial. Ann Behav Med 2010; 39(2):139–50.
105. Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Cli Pra 1998; 1: 2–4.
106. Wagner EH, Austin BT, Von Korff M. Organizing care for patients with chronic illness. Milbank Q 1996; 74(4):511–44.
107. Walsh J, McDonald KM, Shojania K, Sundaram V, Nayak S, Lewis R, et al. Quality improvement strategies for hypertension management: a systematic review. Med Care 2006; 44 (7):646-657.
108. Warren-Findlow, J. Seymour RB. Prevalence rates of hypertension self-care activities among African Americans. J National Med Associ 2011; 103(6): 503-512.
109. Warren-Findlow J, Seymour RB, Huber LR. The association between self-efficacy and hypertension self-care activities among African American adults. J Community Health 2012; 37: 15-24.
110. Wolff N. Using randomized controlled trials to evaluate socially complex services: problems, challenges and recommendations. J Ment Health Policy Econ 2000; 3:97-109.
111. Wing RR, Hamman RF, Bray GA, Delahanty L, Edelstein SL, Hill JO, Diabetes Prevention Program Research Group. Achieving weight and activity goals among diabetes prevention program lifestyle participants. Obes Res 2004; 12(9): 1426-1434.
112. Ybarra ML, Holtrop JS, Bağci Bosi AT, Emri S. Design considerations in developing a text messaging program aimed at smoking cessation. J Med Internet Res 2012; 14(4): e103.
113. Yearbook of Social Affairs, Department of social affairs, Ministry of the interior. Republic of China. Taipei: Executive Yuan, Taiwan (in Chinese). 2005.
114. Yousef J, Lars AN. Validation of a real-time wireless telemedicine system, using bluetooth protocol and a mobile phone, for remote monitoring patient in medical practice. Eur J Med Res 2005; 10(6): 254.
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