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Erschienen in:

01.03.2011

Health behavior models in the age of mobile interventions: are our theories up to the task?

verfasst von: William T Riley, PhD, Daniel E Rivera, PhD, Audie A Atienza, PhD, Wendy Nilsen, PhD, Susannah M Allison, PhD, Robin Mermelstein, PhD

Erschienen in: Translational Behavioral Medicine | Ausgabe 1/2011

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Abstract

Mobile technologies are being used to deliver health behavior interventions. The study aims to determine how health behavior theories are applied to mobile interventions. This is a review of the theoretical basis and interactivity of mobile health behavior interventions. Many of the mobile health behavior interventions reviewed were predominately one way (i.e., mostly data input or informational output), but some have leveraged mobile technologies to provide just-in-time, interactive, and adaptive interventions. Most smoking and weight loss studies reported a theoretical basis for the mobile intervention, but most of the adherence and disease management studies did not. Mobile health behavior intervention development could benefit from greater application of health behavior theories. Current theories, however, appear inadequate to inform mobile intervention development as these interventions become more interactive and adaptive. Dynamic feedback system theories of health behavior can be developed utilizing longitudinal data from mobile devices and control systems engineering models.

Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010). Using the Internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research, 12, e4.PubMed

Tate, D. F., Finkelstein, E. A., Khavjou, O., & Gustafson, A. (2009). Cost effectiveness of Internet interventions: Review and recommendations. Annals of Behavioral Medicine, 38, 40–45.PubMed

Norman, G. J., Zabinski, M. F., Adams, M. A., Rosenberg, D. E., Yaroch, A. L., & Atienza, A. A. (2007). A review of eHealth interventions for physical activity and dietary behavior change. American Journal of Preventive Medicine, 33, 336–345.PubMed

CTIA. (2009). http://www.ctia.org/advocacy/research/index.cfm/AID/10323

International Communications Union. (2010). http://www.itu.int/ITU-d/ict/publications/idi/2010/Material/MIS_2010_Summary_E.pdf

Pew Internet &American Life Project. (2010). http://www.pewInternet.org/~/media//Files/Reports/2010/PIP_Mobile_Access_2010.pdf

Leena, K., Tomi, L., & Arja, R. (2005). Intensity of mobile phone use and health compromising behaviours: How is information and communication technology connected to health-related lifestyle in adolescence? Journal of Adolescence, 28, 35–47.PubMed

Kosaraju, A., Barrigan, C. R., Poropatich, R. K., & Casscells, S. W. (2010). Use of mobile phones as a tool for United States health diplomacy abroad. Telemed J E Health., 16, 218–222.PubMed

Kaplan, W. A. (2006). Can the ubiquitous power of mobile phones be used to improve health outcomes in developing countries? Global Healthcare, 2, 9–22.

10.

Pharow, P., Blobel, B., Ruotsalainen, P., Petersen, F., & Hovsto, A. (2009). Portable devices, sensors and networks: Wireless personalized eHealth services. Studies in Health Technology and Informatics, 150, 1012–1016.PubMed

11.

Patrick, K., Griswold, W. G., Raab, F., & Intille, S. S. (2008). Health and the mobile phone. American Journal of Preventive Medicine, 35, 177–181.PubMed

12.

Becker, M. H. (Ed.) (1974). The health belief model and personal health behavior. Health Education Monographs, 2, 324–473.

13.

Godin, G., & Kok, G. (1996). The theory of planned behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11, 87–98.PubMed

14.

Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52, 1–26.PubMed

15.

Prochaska, J. O., & Velicer, W. F. (1997). The transtheoretical model of health behavior change. American Journal of Health Promotion, 12, 38–48.PubMed

16.

Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Amer Psychol., 55, 68–78.

17.

Ogden, J. (2003). Some problems with social cognition models: A pragmatic and conceptual analysis. Health Psychology, 22, 424–428.PubMed

18.

Burnett, K. F., Taylor, C. B., & Agras, W. S. (1985). Ambulatory computer-assisted therapy for obesity: A new frontier for behavior therapy. J Cons Clin Psychol., 53, 698–703.

19.

Prue, D. M., Riley, A., Orlandi, M. A., & Jerome, A. (1990). Development of a computer-assisted smoking cessation program: A preliminary report. J Adv Med., 3, 131–139.

20.

Brownell, K. D. (1995). Adherence to dietary regimens. 2: Components of effective interventions. Behavioral Medicine, 20, 155–164.PubMed

21.

Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009). Behavior change interventions delivered by mobile telephone short-message service. American Journal of Preventive Medicine, 36, 165–173.PubMed

22.

Krishna, S., & Boren, S. A. (2009). Healthcare via cell phone: A systematic review. Telemed e-Health., 15, 231–240.

23.

Obermayer, J. L., Riley, W. T., Asif, O., & Jean-Mary, J. (2004). College smoking-cessation using cell phone text messaging. J Amer Coll Health, 53, 71–78.

24.

Rodgers, A., Corbett, T., Bramley, D., et al. (2005). Do u smoke after txt? Results of a randomized trial of smoking cessation using mobile phone text messaging. Tobacco Control, 14, 255–261.PubMed

25.

Riley, W. T., Obermayer, J., & Jean-Mary, J. (2008). Internet and mobile phone text messaging intervention for college smokers. J Amer Coll Health., 57, 245–248.

26.

Whittaker, R., Maddison, R., McRobbie, H., et al. (2008). A multimedia mobile phone-based youth smoking cessation intervention: Findings from content development and piloting studies. Journal of Medical Internet Research, 10, e49.PubMed

27.

Brendryen, H., & Kraft, P. (2008). Happy Ending: A randomized controlled trial of a digital multi-media smoking cessation intervention. Addiction, 103, 478–484.PubMed

28.

Brendryen, H., Drozd, F., & Kraft, P. (2008). A digital smoking cessation program delivered through Internet and cell phone without nicotine replacement (happy ending): Randomized controlled trial. Journal of Medical Internet Research, 10, e51.PubMed

29.

Free, C., Whittaker, R., Knight, R., Abramsky, T., Rodgers, A., & Roberts, G. (2009). Txt2stop: A pilot randomized controlled trial of mobile phone-based smoking cessation support. Tobacco Control, 18, 88–91.PubMed

30.

Intille SS, Kukla C, Farzanfar R, Bakr W. Just-in-time technology to encourage incremental, dietary behavior change. In AMIA 2003 symposium proceedings, p 874

31.

Brendryen, H., Kraft, P., & Schaalma, H. (2010). Looking inside the black box: Using intervention mapping to describe the development of an automated smoking cessation intervention happy ending. The Journal of Smoking Cessation, 5, 29–56.

32.

Whittaker, R., Borland, R., Bullen, C., Lin, R. B., McRobbie, H., & Rodgers, A. (2009). Mobile phone-based interventions for smoking cessation. Cochrane Database of Systematic Reviews, 4, CD006611.

33.

Joo, N., & Kim, B. (2007). Mobile phone short message service messaging for behaviour modification in a community-based weight loss programme in Korea. Journal of Telemedicine and Telecare, 13, 416–420.PubMed

34.

Burke, L. E., Conroy, M. B., Sereika, S. M., et al. (2011). The effect of electronic self-monitoring on weight loss and dietary intake: A randomized behavioral weight loss trial. Obesity, 19, 338–344.

35.

Liu, W. T., Wang, C. H., Lin, H. C., et al. (2008). Efficacy of a cell phone-based exercise programme for COPD. The European Respiratory Journal, 32, 651–659.PubMed

36.

Nguyen, H. Q., Gill, D. P., Wolpin, S., Steele, B. G., & Benditt, J. O. (2009). Pilot study of a cell phone-based exercise persistence intervention post-rehabilitation for COPD. Int J COPD., 4, 301–313.

37.

Bauer, S., de Niet, J., Timman, R., & Kordy, H. (2010). Enhancement of care through self-monitoring and tailored feedback via text messaging and their use in the treatment of childhood overweight. Patient Education and Counseling, 79, 315–319.PubMed

38.

Hurling, R., Catt, M., De Boni, M., et al. (2007). Using Internet and mobile phone technology to deliver an automated physical activity program: Randomized controlled trial. Journal of Medical Internet Research, 9, e7.PubMed

39.

Beasley, J. M., Riley, W. T., Davis, A., & Singh, J. (2008). Evaluation of a PDA-based dietary assessment and intervention program: A randomized controlled trial. Journal of the American College of Nutrition, 27, 280–286.PubMed

40.

Haapala, I., Barengo, N. C., Biggs, S., Surakka, L., & Manninen, P. (2009). Weight loss by mobile phone: A 1-year effectiveness study. Public Health Nutrition, 12, 2382–2391.PubMed

41.

Atienza, A. A., King, A. C., Oliveira, B. M., Ahn, D. K., & Gardner, C. D. (2008). Using hand-held computer technologies to improve dietary intake. American Journal of Preventive Medicine, 34, 514–518.PubMed

42.

King, A. C., Ahn, D. K., Oliveira, B. M., Atienza, A. A., Castro, C. M., & Gardner, C. D. (2008). Promoting physical activity through hand-held computer technology. American Journal of Preventive Medicine, 34, 138–142.PubMed

43.

Patrick, K., Raab, F., Adams, M. A., et al. (2009). A text message-based intervention for weight loss: Randomized controlled trial. Journal of Medical Internet Research, 11, e1.PubMed

44.

Fjeldsoe, B. S., Miller, Y. D., & Marshall, A. L. (2010). MobileMums: A randomized controlled trial of an SMS-based physical activity intervention. Annals of Behavioral Medicine, 39, 101–111.PubMed

45.

Hiltz, S. R. (1988). Productivity enhancement from computer-mediated communication: A systems contingency approach. Communications of the ACM, 31, 1438–1454.

46.

Krishna, S., & Boren, S. A. (2008). Diabetes self-management care via cell phone: A systematic review. J Diabetes Sci Technol, 2, 509–517.PubMed

47.

Ngo, J., Engelen, A., Molag, M., Roesle, J., Garcia-Segovia, P., & Serra-Majem, L. (2009). A review of the use of information and communication technologies for dietary assessment. British J Nutr., 101, S102–S112.

48.

Boushey, C. J., Kerr, D. A., Wright, J., Lutes, K. D., Ebert, D. S., & Delp, E. J. (2009). Use of technology in children’s dietary assessment. Euro J Clin Nutr., 63, S50–S57.

49.

Six, B. L., Schap, T. E., Zhu, F. M., Mariappan, A., Bosch, M., Delp, E. J., et al. (2010). Evidence-based development of a mobile telephone food record. Journal of the American Dietetic Association, 110, 74–79.PubMed

50.

Hynes, M., Wang, H., & Kilmartin, L. (2009). Off-the-shelf mobile handset environments for deploying accelerometer based gait and activity analysis algorithms. Conf Proc IEEE Eng Med Biol Soc., 2009, 5187–5190.PubMed

51.

Bexelius, C., Lof, M., Sandin, S., Trolle Lagerros, Y., Forsum, E., & Litton, J. E. (2010). Measure of physical activity using cell phones: Validation using criterion measures. J Med Internet Res, 29, e2.

52.

Farmer, K. C. (1999). Methods for measuring and monitoring medication regimen adherence in clinical trials and clinical practice. Clinical Therapeutics, 21, 1074–1090.PubMed

53.

Naditz, A. (2008). Medication compliance—helping patients through technology: Modern “smart” pillboxes keep memory-short patients on their medical regimen. Telemed J E Health., 14, 875–880.PubMed

54.

Safren, S. A., Hendriksen, E. S., Desousa, N., Boswell, S. L., & Mayer, K. H. (2003). Use of an on-line pager system to increase adherence to antiretroviral medications. AIDS Care, 15, 787–793.PubMed

55.

Simoni, J. M., Huh, D., Frick, P. A., et al. (2009). Peer support and pager messaging to promote antiretroviral modifying therapy in Seattle: A randomized controlled trial. Journal of Acquired Immune Deficiency Syndromes, 52, 465–473.PubMed

56.

Koshy, E., Car, J., & Majeed, A. (2008). Effectiveness of mobile-phone short messaging service (SMS) reminders for ophthalmology outpatient appointments: Observational study. BMC Ophthalmology, 8, 9.PubMed

57.

Bos, A., Hoogstraten, J., & Prahl-Andersen, B. (2005). Failed appointments in an orthodontic clinic. BAm J Orthod Dentofacial Orthop, 127, 355–357.

58.

Leong, K. C., Leong, K. W., Mastura, I., et al. (2006). The use of text messaging to improve attendance in primary care: A randomized controlled trial. Family Practice, 23, 699–705.PubMed

59.

Chen, Z. W., Fang, L. Z., Chen, L. Y., & Dai, H. L. (2008). Comparison of an SMS text messaging and phone reminder to improve attendance at a health promotion center: A randomized controlled trial. Journal of Zhejiang University. Science B, 9, 34–38.PubMed

60.

Blake, H. (2008). Mobile phone technology in chronic disease management. Nursing Standard, 23, 43–46.PubMed

61.

Russel-Minda, E., Jutai, J., Speechly, M., Bradley, K., Chudyk, A., & Petrella, R. (2009). Health technologies for monitoring and managing diabetes: A systematic review. J Diabetes Sci Technol., 3, 1460–1471.

62.

Skinner, C., & Finkelstein, J. (2008). Using cell phones for chronic disease prevention and management. AMIA Annual Symposium Proceedings, 6, 1137.

63.

Franklin, V. L., Waller, A., Pagliari, C., & Greene, S. A. (2006). A randomized controlled trial of Sweet Talk, a text messaging system to support young people with diabetes. Diabetes Med., 23, 1332–1338.

64.

American Diabetes Association. (2009). Executive summary: Standards of medical care in diabetes—2009. Diabetes Care, 32, S6–S12.

65.

Hedtke, P. A. (2008). Can wireless technology enable new diabetes management tools. J Diabetes Sci Technol., 2, 127–130.PubMed

66.

Ma, Y., Olendzki, B. C., Chiriboga, D., et al. (2006). PDA-assisted low glycemic index dietary intervention for type 2 diabetes: A pilot study. Euro J Clin Nutr., 60, 1235–1243.

67.

Forjuoh, S. N., Reis, M. D., Couchman, G. R., & Ory, M. G. (2008). Improving diabetes self-care with a PDA in ambulatory care. Telemed Health., 14, 273–279.

68.

Lanzola, G., Capozzi, D., D’Annunzio, G., Ferrari, P., Bellazzi, R., & Larizza, C. (2007). Going mobile with a multi-access service for the management of diabetes patients. J Diabetes Sci Technol., 1, 730–737.PubMed

69.

Arsand, E., Tufano, J. T., Ralston, J. D., & Hjortdahl, P. (2008). Designing mobile dietary management support technologies for people with diabetes. Journal of Telemedicine and Telecare, 14, 329–332.PubMed

70.

Rami, B., Popow, C., Horn, W., Waldhoer, T., & Schober, E. (2006). Telemedical support to improve glycemic control in adolescents with type 1 diabetes mellitus. European Journal of Pediatrics, 165, 701–705.PubMed

71.

Quinn, C. C., Clough, S. S., Minor, J. M., Lender, D., Okafor, M. C., & Gruber-Baldini, A. (2008). WellDoc^TM mobile diabetes management randomized controlled trial: Change in clinical and behavioral outcomes and patient and physician satisfaction. Diabetes Technology and Therapeutics, 10, 160–168.PubMed

72.

Turner, J., Larsen, M., Tarassenko, L., Neil, A., & Farmer, A. (2009). Implementation of telehealth support for patients with type 2 diabetes using insulin treatment: An exploratory study. Inform Prim Care., 17, 47–53.PubMed

73.

Cho, J. H., Lee, H. C., Lim, D. J., Kwon, H. S., & Yoon, K. H. (2009). Mobile communication using a mobile phone with a glucometer for glucose control in type 2 patients with diabetes: As effective as an Internet-based glucose monitoring system. Journal of Telemedicine and Telecare, 15, 77–82.PubMed

74.

Logan, A. G., McIsaac, W. J., Tisler, A., et al. (2007). Mobile phone-based remote patient monitoring system for management of hypertension in diabetic patients. Amer J Hypertension., 20, 942–948.

75.

Leu, M. G., Norris, T. E., Hummel, J., Isaac, M., & Brogan, M. W. (2005). A randomized controlled trial of an automated wireless messaging system for diabetes. Diabetes Technology and Therapeutics, 7, 710–718.PubMed

76.

Hanauer, D. A., Wentzell, K., Laffel, N., & Laffel, L. M. (2009). Computerized automated reminder diabetes system (CARDS): Email and SMS cell phone text messaging reminders to support diabetes management. Diabetes Technology and Therapeutics, 11, 99–106.PubMed

77.

Strandbygaard, U., Thomsen, S. F., & Backer, V. (2010). A daily SMS reminder increases adherence to asthma treatment: A three-month follow-up study. Respiratory Medicine, 104, 166–171.PubMed

78.

Chung, P., Yu, T., & Scheinfeld, N. (2007). Using cellphones for teledermatology, a preliminary study. Dermatology Online Journal, 13, 2.PubMed

79.

Tang, F. H., Law, M. Y., Lee, A. C., & Chan, L. W. (2004). A mobile phone integrated health care delivery system for medical images. Journal of Digital Imaging, 17, 217–225.PubMed

80.

Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32.PubMed

81.

National Institutes of Health. (2010). http://projectreporter.nih.gov (reporter_searchresults.cfm?&new=1&icde=5933670&loc=2&CFID=17945345&CFTOKEN=13189329). Accessed 29 Oct 2010.

82.

Skevofilakas, M., Mougiakakou, S. G., Zarkogianni, K., et al. (2007). A communication and information technology infrastructure for real-time monitoring and management of type 1 diabetes patients. Conf Proc IEEE Eng Med Biol Soc., 2007, 3685–3686.PubMed

83.

Holtz, B., & Whitten, P. (2009). Managing asthma with mobile phones: A feasibility study. Telemed J E Health., 15, 907–909.PubMed

84.

Ryan, D., Pinnock, H., Lee, A. J., et al. (2009). The CYMPLA trial. Mobile phone-based structured intervention to achieve asthma control in patients with uncontrolled persistent asthma: A pragmatic randomized controlled trial. Primary Care Respiratory Journal, 18, 343–345.PubMed

85.

Rosenstock, I. M. (1974). Historical origins of the Health Belief Model. Health Education Monographs, 2, 328–335.

86.

Dunton and Atienza. (2009). The need for time-intensive information in healthful eating and physical activity research: A timely topic. JADA, 109(1), 30–35.

87.

Boorsboom, D., Mellenbergh, G. J., & van Heerden, J. (2003). The theoretical status of latent variables. Psychological Review, 110, 202–219.

88.

Neville, L. M., O'Hara, B., & Milat, A. J. (2009). Computer-tailored dietary behaviour change interventions: A systematic review. Health Education Research, 24, 699–720.PubMed

89.

Lustria, M. L., Cortese, J., Noar, S. M., & Glueckauf, R. L. (2009). Computer-tailored health interventions delivered over the Web: Review and analysis of key components. Patient Education and Counseling, 74, 156–173.PubMed

90.

Heron, K. E., & Smyth, J. M. (2010). Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments. British Journal of Health Psychology, 15, 1–39.PubMed

91.

Llewelyn, S., & Hardy, G. (2001). Process research in understanding and applying psychological therapies. The British Journal of Clinical Psychology, 40, 1–21.PubMed

92.

Åström, K. J. & Murray, R. M. (2008). Feedback systems: An introduction for scientists and engineers. http://www.cds.caltech.edu/~murray/amwiki.

93.

Rivera, D. E., Pew, M. D., & Collins, L. M. (2007). Using engineering control principles to inform the design of adaptive interventions: A conceptual introduction. Drug and Alcohol Dependence, 88(suppl. 2), S31–S40.PubMed

94.

Navarro-Barrientos, J. E., Rivera, D. E., & Collins, L. M. (2010). A dynamical systems model for understanding behavioral interventions for weight loss. In S. K. Chai, J. J. Salerno, & P. L. Mabry (Eds.), 2010 international conference on social computing, behavioral modeling, and prediction (SBP 2010) (pp. 170–179). Heidelberg: Springer.

95.

Deco, G., Jirsa, V. K., Robinson, P. A., Breakspear, M., & Friston, K. (2008). The dynamic brain: From spiking neurons to neural masses and cortical fields. PLoS Computational Biology, 4, e1000092.PubMed

96.

Saper, C. B., Chou, T. C., & Scammell, T. E. (2001). The sleep switch: Hypothalamic control of sleep and wakefulness. Trends Neuroscience., 24, 726–731.

97.

Todorov, E. (2004). Optimality principles in sensorimotor control. Nature Neuroscience, 7, 907–915.PubMed

98.

Lewis, F. L., & Vamvoudakis, K. G. (2010). Reinforcement learning for partially observable dynamic processes: Adaptive dynamic programming using measured output data. IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics, 41, 14–25.

99.

Bequette, B. W. (2009). Glucose clamp algorithms and insulin time–action profiles. J Diabetes Sci Technol., 3, 1005–1013.PubMed

100.

Nandola, N., Rivera, D. E. (2010). A robust model predictive control formulation for hybrid systems with application to adaptive behavioral interventions. In American Control Conference, Baltimore, MD, pp. 6286–6292.

101.

Schwartz, J. D., & Rivera, D. E. (2010). A process control approach to tactical inventory management in production-inventory systems. Int J Production Economics, 125, 111–124.

102.

Ogunnaike, B. A., & Ray, W. H. (1994). Process dynamics, modeling, and control. New York: Oxford University Press.

103.

Ljung, L. (1999). System identification: Theory for the user. Prentice Hall information and system sciences series. New York: Prentice Hall.

104.

Ramsay, J., & Silverman, B. (2005). Functional data analysis. New York: Springer.

105.

Camacho, E. F., & Bordons, C. (2004). Model predictive control (2nd ed.). New York: Springer.

106.

Collins, L. M., Murphy, S. A., & Bierman, K. L. (2004). A conceptual framework for adaptive preventive interventions. Prevention Science, 5, 185–196.PubMed

107.

O’Grady, L., Witteman, H., Bender, J. L., Urowitz, S., Wiljer, D., & Jaded, A. R. (2009). Measuring the impact of a moving target: Towards a dynamic framework for evaluating collaborative adaptive interactive technologies. Journal of Medical Internet Research, 11, e20.PubMed

108.

Resnicow, K., Strecher, V., Couper, M., et al. (2010). Methodologic and design issues in patient-centered e-health research. American Journal of Preventive Medicine, 38, 98–102.PubMed

109.

Downer, S. R., Meara, J. G., & Da Costa, A. C. (2005). Use of SMS text messaging to improve outpatient adherence. MJA, 183, 366–368.PubMed

110.

Downer, S. R., Meara, J. G., Da Costa, A. C., & Sethuraman, K. (2006). SMS text messaging improves outpatient attendance. Australian Health Review, 30, 389–396.PubMed

111.

Foley, J., & O’Neill, M. (2009). Use of mobile short message service (SMS) as a reminder: The effect on patient attendance. European Archives of Paediatric Dentistry, 10, 15–18.PubMed

112.

da Costa, T. M., Salomao, P. L., Martha, A. S., Pisa, I. T., & Sigulem, D. (2010). The impact of short message service text messages sent as appointment reminders to patients’ cell phones at outpatient clinics in Sao Paulo, Brazil. International Journal of Medical Informatics, 79, 65–70.PubMed

113.

Kwon, H. S., Cho, J. H., Kim, H. S., et al. (2004). Development of web-based diabetic patient management system using short message service (SMS). Diabetes Research and Clinical Practice, 66S, S133–S137.

114.

Ostojic, V., Cvoriscec, B., Ostojic, S. B., Reznikoff, D., Stipic-Markovic, A., & Tudjman, Z. (2005). Improving asthma control through telemedicine: A study of short-message service. Telemed J E Health., 11, 28–35.PubMed

115.

Kim, H. S., Yoo, Y. S., & Shim, H. S. (2005). Effects of an Internet-based intervention on plasma glucose levels in patients with type 2 diabetes. Journal of Nursing Care Quality, 20, 335–340.PubMed

116.

Kim, H. S., Kim, N. C., & Ahn, S. H. (2006). Impact of a nurse short message service intervention for patients with diabetes. Journal of Nursing Care Quality, 21, 266–271.PubMed

117.

Kim, H. S., & Jeong, H. S. (2007). A nurse short message service by cellular phone in type-2 diabetic patients for six months. Journal of Clinical Nursing, 16, 1082–1087.PubMed

118.

Benhamou, P. Y., Melki, V., Boizel, R., et al. (2007). One-year efficacy and safety of Web-based follow-up using cellular phone in type 1 diabetic patients under insulin pump therapy: The PumpNet study. Diabetes Metabol., 33, 220–226.

119.

Yoon, K. H., & Kim, H. S. (2008). A short message service by cellular phone in type 2 diabetic patients for 12 months. Diabetes Research and Clinical Practice, 79, 256–261.PubMed

120.

Newton, K. H., Wiltshire, E. J., & Elley, C. R. (2009). Pedometers and text messaging to increase physical activity: Randomized controlled trial of adolescents with type 1 diabetes. Diabetes Care, 32, 813–815.PubMed

121.

Prabhakaran, L., Chee, W. Y., Chua, K. C., Abisheganaden, J., & Wong, W. M. (2010). The use of text messaging to improve asthma control: A pilot study using mobile phone short messaging service (SMS). Journal of Telemedicine and Telecare, 16, 286–290.PubMed

Titel: Health behavior models in the age of mobile interventions: are our theories up to the task?
verfasst von: William T Riley, PhD
Daniel E Rivera, PhD
Audie A Atienza, PhD
Wendy Nilsen, PhD
Susannah M Allison, PhD
Robin Mermelstein, PhD
Publikationsdatum: 01.03.2011
Verlag: Springer-Verlag
Erschienen in: Translational Behavioral Medicine / Ausgabe 1/2011
Print ISSN: 1869-6716
Elektronische ISSN: 1613-9860
DOI: https://doi.org/10.1007/s13142-011-0021-7

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Health behavior models in the age of mobile interventions: are our theories up to the task?

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