期刊论文详细信息
BMC Cardiovascular Disorders
E-Rehabilitation – an Internet and mobile phone based tailored intervention to enhance self-management of Cardiovascular Disease: study protocol for a randomized controlled trial
Silje C Wangberg1  Konstantinos Antypas1 
[1]Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø, Tromsø, N-9037, Norway
关键词: Physical activity;    Self-management;    Mobile-based;    Internet-based;    EHealth;    Cardiovascular disease;    Cardiac rehabilitation;    Tailoring;   
Others  :  1084795
DOI  :  10.1186/1471-2261-12-50
 received in 2012-05-21, accepted in 2012-06-25,  发布年份 2012
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【 摘 要 】

Background

Cardiac rehabilitation is very important for the recovery and the secondary prevention of cardiovascular disease, and one of its main strategies is to increase the level of physical activity. Internet and mobile phone based interventions have been successfully used to help people to achieve this. One of the components that are related to the efficacy of these interventions is tailoring of content to the individual. This trial is studying the effect of a longitudinally tailored Internet and mobile phone based intervention that is based on models of health behaviour, on the level of physical activity and the adherence to the intervention, as an extension of a face-to-face cardiac rehabilitation stay.

Methods/Design

A parallel group, cluster randomized controlled trial. The study population is adult participants of a cardiac rehabilitation programme in Norway with home Internet access and mobile phone, who in monthly clusters are randomized to the control or the intervention condition. Participants have access to a website with information regarding cardiac rehabilitation, an online discussion forum and an online activity calendar. Those randomized to the intervention condition, receive in addition tailored content based on models of health behaviour, through the website and mobile text messages. The objective is to assess the effect of the intervention on maintenance of self-management behaviours after the rehabilitation stay. Main outcome is the level of physical activity one month, three months and one year after the end of the cardiac rehabilitation programme. The randomization of clusters is based on a true random number online service, and participants, investigators and outcome assessor are blinded to the condition of the clusters.

Discussion

The study suggests a theory-based intervention that combines models of health behaviour in an innovative way, in order to tailor the delivered content. The users have been actively involved in its design, and because of the use of Open-Source software, the intervention can easily and at low-cost be reproduced and expanded by others. Challenges are the recruitment in the elderly population and the possible underrepresentation of women in the study sample. Funding by Northern Norway Regional Health Authority.

Trial registration

Trial registry http://www.clinicaltrials.gov webcite: NCT01223170.

【 授权许可】

   
2012 Antypas and Wangberg; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Preventing chronic disease: a vital investment . Geneva: World Health Organization; 2005.
  • [2]European cardiovascular disease statistics 2008 . Brussels: European Heart Network; 2008.
  • [3]2008 Physical Activity Guidelines for Americans . Washington, D.C: U.S. Department of Health and Human Services; 2008.
  • [4]Graham I, Atar D, Borch-Johnsen K, et al.: European guidelines on cardiovascular disease prevention in clinical practice: executive summary. Fourth Joint Task Force of the European Society of Cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of nine societies and by invited experts). Eur J Cardiovasc Prev Rehabil 2007, 14(Suppl 2):E1-E40.
  • [5]Ipser J, Dewing S, Stein D: A systematic review of the quality of information on the treatment of anxiety disorders on the internet. Curr Psychiatry Rep 2007, 9(4):303-309.
  • [6]Jolliffe JA, Rees K, Taylor RS, Thompson D, Oldridge N, Ebrahim S: Exercise-based rehabilitation for coronary heart disease. Cochrane database of systematic reviews (Online) 2001, 1:CD001800.
  • [7]Jolly K, Lip GY, Taylor RS, et al.: The Birmingham Rehabilitation Uptake Maximisation study (BRUM): a randomised controlled trial comparing home-based with centre-based cardiac rehabilitation. Heart 2009 Jan, 95(1):36-42.
  • [8]Bellg AJ: Maintenance of health behavior change in preventive cardiology: internalization and self-regulation of new behaviors. Behav Modif 2003, 27:103-131.
  • [9]Duncan TE, McAuley E: Social support and efficacy cognitions in exercise adherence: a latent growth curve analysis. J Behav Med 1993, 16(2):199-218.
  • [10]Barrera M, Glasgow RE, McKay HG, Boles SM, Feil EG: Do Internet-bases support interventions change perceptions of social support?: An experimental trial of approaches for supporting diabetes self-management. Am J Community Psychol 2002, 30(5):637-654.
  • [11]Wangberg SC, Andreassen HK, Kummervold P-E, Wynn R, Sørensen T: Use of the Internet for Health Purposes: Trends in Norway 2000–2010. Scand J Caring Sci 2009, 23(4):691-696.
  • [12]Jackson CL, Bolen S, Brancati FL, Batts-Turner ML, Gary TL: A systematic review of interactive computer-assisted technology in diabetes care. Interactive information technology in diabetes care. J Gen Intern Med 2006, 21(2):105-110.
  • [13]Murray E, Burns J, See Tai S, Lai R, Nazareth I: Interactive health communication applications for people with chronic disease. Cochrane database of systematic reviews (Online) 2005, 19(4):CD004274.
  • [14]Brug J, Steenhuis I, van Assema P, Glanz K, De Vries H: Computer-tailored nutrition education: differences between two interventions. Health Educ Res 1999, 14(2):249-256.
  • [15]Lancaster T, Stead L: Self-help interventions for smoking cessation. Cochrane database of systematic reviews (Online) 2002, 3:CD001118.
  • [16]Strecher VJ: Computer-tailored smoking cessation materials: a review and discussion. Patient education and counselling 1999, 36:107-117.
  • [17]Brug J, Campbell M, van Assema P: The application and impact of computer-generated personalized nutrition education: a review of the litterature. Patient Educ Couns 1999, 36:145-156.
  • [18]Campbell MK, DeVellis BM, Strecher VJ, Ammerman AS, DeVellis RF, Sandler RS: Improving dietary behavior: the effectiveness of tailored messages in primary care settings. Am J Public Health 1994 May, 84(5):783-787.
  • [19]Oenema A, Brug J, Lechner L: Web-based tailored nutrition education: results of a randomized controlled trial. Heal Educ Res 2001 Dec, 16(6):647-660.
  • [20]de Nooijer J, Lechner L, de Vries H: Tailored versus general information on early detection of cancer: a comparison of the reactions of Dutch adults and the impact on attitudes and behaviors. Health Educ Res 2002, 17(2):239-252.
  • [21]Jehn M, Schmidt-Trucksaess A, Schuster T, et al.: Accelerometer-based quantification of 6-minute walk test performance in patients with chronic heart failure: applicability in telemedicine. J Card Fail 2009, 15(4):334-340.
  • [22]Norman GJ, Zabinski MF, Adams MA, Rosenberg DE, Yaroch AL, Atienza AA: A review of eHealth interventions for physical activity and dietary behavior change. Am J Prev Med 2007 Oct, 33(4):336-345.
  • [23]Noar SM, Benac CN, Harris MS: Does Tailoring Matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull 2007, 133(4):673-693.
  • [24]McKee G, Bannon J, Kerins M, FitzGerald G: Changes in diet, exercise and stress behaviours using the stages of change model in cardiac rehabilitation patients. Eur J Cardiovasc Nurs 2007, 6(3):233-240.
  • [25]Schwarzer R: Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviours. Applied Psychology: An International Review 2008, 57(1):1-29.
  • [26]Latimer AE, Rivers SE, Rench TA, et al.: A field experiment testing the utility of regulatory fit messages for promoting physical activity. J Exp Soc Psychol 2008, 44:826-832.
  • [27]Latimer A, Williams-Piehota P, Katulak N, et al.: Promoting fruit and vegetable intake through messages tailored to individual differences in regulatory focus. Ann Behav Med 2008, 35(3):363-369.
  • [28]Hintze J: PASS 2008 . Utah: Kaysville; 2008. www.ncss.com webcite
  • [29]Wangberg SC: An Internet-based diabetes self-care intervention tailored to self-efficacy. Health Educ Res 2008, 23(1):170-179.
  • [30]de Vries H, Kremers SPJ, Smeets T, Brug J, Eijmael K: The effectiveness of tailored feedback and action plans in an intervention addressing multiple health behaviors. Am J Health Promot 2008, 22(6):417-425.
  • [31]Bandura A: Self-efficacy: The exercise of control . New York, NY: W.H. Freeman and Company; 1997.
  • [32]Fuglestad PT, Rothman AJ, Jeffery RW: Getting there and hanging on: the effect of regulatory focus on performance in smoking and weight loss interventions. Heal Psychol 2008, 27(3, Supplement 1):S260-S270.
  • [33]Lampe FC, Whincup PH, Wannamethee SG, Ebrahim S, Walker M, Shaper AG: Chest pain on questionnaire and prediction of major ischaemic heart disease events in men. Eur Heart J 1998, 19(1):63-73.
  • [34]Kurtze N, Rangul V, Hustvedt B-E: Reliability and validity of the international physical activity questionnaire in the Nord-Trondelag health study (HUNT) population of men. BMC Med Res Methodol 2008, 8(1):63. BioMed Central Full Text
  • [35]Hagströmer M, Oja P, Sjöström M: The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr 2006 Sep, 9(6):755-762.
  • [36]Marcus BH, Selby VC, Niaura RS, Rossi JS: Self-efficacy and the stages of exercise behavior change. Res Q Exerc Sport 1992, 63(1):60-66.
  • [37]Williams GC, Deci EL: SDT: Questionnaires: Perceived Competence Scales. http://www.webcitation.org/1144161985665968 webcite> Accessed 2006 April 4
  • [38]Lockwood P, Jordan CH, Kunda Z: Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. J Personal Soc Psychol 2002, 83(4):854-864.
  • [39]Schokker MC, Links TP, Luttik ML, Hagedoorn M: The association between regulatory focus and distress in patients with a chronic disease: The moderating role of partner support. Br J Heal Psychol 2010, 15(Pt 1):63-78.
  • [40]Thombs BD, Magyar-Russell G, Bass EB, et al.: Performance characteristics of depression screening instruments in survivors of acute myocardial infarction: review of the evidence. Psychosomatics 2007, 48(3):185-194.
  • [41]The EuroQol Group: EuroQol–a new facility for the measurement of health-related quality of life. Health Policy 1990, 16(3):199-208.
  • [42]Dijkstra A: Working mechanisms of computer-tailored health education: evidence from smoking cessation. Heal Educ Res 2005, 20(5):527-539.
  • [43]Norman CD: eHEALS: The eHealth Literacy Scale. J Med Internet Res 2006. Retrieved from http://www.jmir.org/2006/4/e27/ webcite
  • [44]Neville LM, O’Hara B, Milat A: Computer-tailored physical activity behavior change interventions targeting adults: a systematic review. The international journal of behavioral nutrition and physical activity 2009, 6(1):30. BioMed Central Full Text
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