A randomised controlled trial testing a web-based, computer-tailored self-management intervention for people with or at risk for chronic obstructive pulmonary disease: a study protocol

BMC Public Health

Trudy van der Weijden⁴  Bjorn Winkens²  Zsolt Nagykaldi³  Hein de Vries¹  Huibert Tange⁴  Viola Voncken-Brewster⁴ 

[1] School for Public Health and Primary Care (CAPHRI), Department of Health Promotion, Maastricht University Medical Centre, Maastricht, Netherlands;School for Public Health and Primary Care (CAPHRI), Department of Methodology and Statistics, Maastricht University Medical Centre, Maastricht, Netherlands;Health Sciences Centre, Department of Family and Preventive Medicine, University of Oklahoma, Oklahoma City, OK, USA;School for Public Health and Primary Care (CAPHRI), Department of General Practice, Maastricht University Medical Centre, PO Box 616, 6200MD, Maastricht, Netherlands

关键词: Chronic disease;    Health behaviour;    Self-management;    Chronic obstructive pulmonary disease;    Randomised controlled trial;    Tailoring;    Internet intervention;   

Others  :  1162125
DOI  :  10.1186/1471-2458-13-557

 received in 2013-05-30, accepted in 2013-06-03,  发布年份 2013

【 摘 要 】

Background

Chronic Obstructive Pulmonary Disease (COPD) is a major cause of morbidity and mortality. Effective self-management support interventions are needed to improve the health and functional status of people with COPD or at risk for COPD. Computer-tailored technology could be an effective way to provide this support.

Methods/Design

This paper presents the protocol of a randomised controlled trial testing the effectiveness of a web-based, computer-tailored self-management intervention to change health behaviours of people with or at risk for COPD. An intervention group will be compared to a usual care control group, in which the intervention group will receive a web-based, computer-tailored self-management intervention. Participants will be recruited from an online panel and through general practices. Outcomes will be measured at baseline and at 6 months. The primary outcomes will be smoking behaviour, measuring the 7-day point prevalence abstinence and physical activity, measured in minutes. Secondary outcomes will include dyspnoea score, quality of life, stages of change, intention to change behaviour and alternative smoking behaviour measures, including current smoking behaviour, 24-hour point prevalence abstinence, prolonged abstinence, continued abstinence and number of quit attempts.

Discussion

To the best of our knowledge, this will be the first randomised controlled trial to test the effectiveness of a web-based, computer-tailored self-management intervention for people with or at risk for COPD. The results will be important to explore the possible benefits of computer-tailored interventions for the self-management of people with or at risk for COPD and potentially other chronic health conditions.

Dutch trial register

NTR3421

【 授权许可】

   
2013 Voncken-Brewster et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

【 参考文献 】

• [1]Viegi G, Pistelli F, Sherrill DL, Maio S, Baldacci S, Carrozzi L: Definition, epidemiology and natural history of COPD. Eur Respir J 2007, 30:993-1013.
• [2]Bourbeau J, Nault D, Dang-Tan T: Self-management and behaviour modification in COPD. Patient Educ Couns 2004, 52:271-277.
• [3]Jonsdottir H: Self-management programmes for people living with chronic obstructive pulmonary disease: a call for a reconceptualisation. J Clin Nurs 2013, 22:621-637.
• [4]Evers KE: eHealth promotion: the use of the Internet for health promotion. Am J Health Promot 2006, 20(Suppl):1-7.
• [5]Bartoli L, Zanaboni P, Masella C, Ursini N: Systematic review of telemedicine services for patients affected by chronic obstructive pulmonary disease (COPD). Telemed J E Health 2009, 15:877-883.
• [6]Nguyen HQ, Donesky D, Reinke LF, Wolpin S, Chyall L, Benditt JO, Paul SM, Carrieri-Kohlman V: Internet-based dyspnea self-management support for patients with chronic obstructive pulmonary disease. J Pain Symptom Managein press
• [7]Marshall A, Medvedev O, Antonov A: Use of a smartphone for improved self-management of pulmonary rehabilitation. Int J Telemed Appl 2008, 1-5. article ID = 753064
• [8]Ahern DK: Challenges and opportunities of eHealth research. Am J Prev Med 2007, 32(Suppl):75-82.
• [9]de Vries H, Brug J: Computer-tailored interventions motivating people to adopt health promoting behaviors: introduction to a new approach. Patient Educ Couns 1999, 36:99-195.
• [10]Hawkins RP, Kreuter M, Resnicow K, Fishbein M, Dijkstra A: Understanding tailoring in communicating about health. Health Educ Res 2008, 23:454-466.
• [11]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, 22:417-425.
• [12]Noar SM, Benac CN, Harris MS: Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull 2007, 133:673-693.
• [13]Krebs P, Prochaska JO, Rossi JS: A meta-analysis of computer-tailored interventions for health behavior change. Prev Med 2010, 51:214-221.
• [14]Lustria ML, Cortese J, Noar SM, Glueckauf RL: Computer-tailored health interventions delivered over the Web: review and analysis of key components. Patient Educ Couns 2009, 74:156-173.
• [15]Smit ES, de Vries H, Hoving C: Effectiveness of a Web-based multiple tailored smoking cessation program: a randomized controlled trial among Dutch adult smokers. J Med Internet Res 2012, 14:e82.
• [16]Smeets T, Brug J, de Vries H: Effects of tailoring health messages on physical activity. Health Educ Res 2008, 23:402-413.
• [17]Cassell MM, Jackson C, Cheuvront B: Health communication on the Internet: an effective channel for health behavior change? J Health Commun 1998, 3:71-79.
• [18]Smit ES, Evers SM, de Vries H, Hoving C: Cost-effectiveness and cost-utility of Internet-based computer tailoring for smoking cessation. J Med Internet Res 2013, 15:e57.
• [19]van Keulen HM, Bosmans JE, van Tulder MW, Severens JL, de Vries H, Brug J, Mesters I: Cost-effectiveness of tailored print communication, telephone motivational interviewing, and a combination of the two: results of an economic evaluation alongside the Vitalum randomized controlled trial. Int J Behav Nutr Phys Act 2010, 7:64. BioMed Central Full Text
• [20]Voncken-Brewster V, Moser A, van der Weijden T, Nagykaldi Z, de Vries H, Tange H: Usability evaluation of an online, tailored self-management intervention for chronic obstructive pulmonary disease patients incorporating behavior change techniques. JMIR Res Protoc 2013, 2:e3.
• [21]Price DB, Tinkelman DG, Halbert RJ, Nordyke RJ, Isonaka S, Nonikov D, Juniper EF, Freeman D, Hausen T, Levy ML, Ostrem A, van der Molen T, van Schayck CP: Symptom-based questionnaire for identifying COPD in smokers. Respiration 2006, 73:285-295.
• [22]Dirven JA, Muris JW, van Schayck CP: COPD screening in general practice using a telephone questionnaire. COPD 2010, 7:352-359.
• [23]PS power and sample size calculation program http://biostat.mc.vanderbilt.edu/wiki/Main/PowerSampleSize webcite
• [24]Dijkstra A, De Vries H, Roijackers J: Long-term effectiveness of computer-generated tailored feedback in smoking cessation. Health Educ Res 1998, 13:207-214.
• [25]Rütten A, Vuillemin A, Ooijendijk WT, Schena F, Sjostrom M, Stahl T, Vanden Auweele Y, Welshman J, Ziemainz H: Physical activity monitoring in Europe. The European Physical Activity Surveillance System (EUPASS) approach and indicator testing. Public Health Nutr 2003, 6:377-384.
• [26]Schulz DN, Kremers SP, van Osch LA, Schneider F, van Adrichem MJ, de Vries H: Testing a Dutch web-based tailored lifestyle programme among adults: a study protocol. BMC Public Health 2011, 11:108. BioMed Central Full Text
• [27]Smeets T, Kremers SPJ, Brug J, De Vries H: Effects of tailored feedback on multiple health behaviors. Ann Behav Med 2007, 33:117-123.
• [28]de Vries H, Mesters I, Van der Steeg H, Honing C: The general public’s information needs and perceptions regarding hereditary cancer: an application of the Integrated Change Model. Patient Educ Couns 2005, 56:154-165.
• [29]De Vries H, Dijkstra M, Kuhlman P: Self-efficacy: the third factor besides attitude and subjective norm as a predictor of behavioral intentions. Health Educ Res 1988, 3:273-282.
• [30]Ajzen I: The theory of planned behavior. Organ Behav Hum Decis Process 1991, 50:179-211.
• [31]Bandura A: Social foundations of thought and action: A social cognitive theory. New York: Prentice-Hall; 1986.
• [32]Prochaska JO, DiClemente CC: Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol 1983, 51:390-395.
• [33]Janz NK, Becker MH: The health belief model: a decade later. Health Educ Q 1984, 11:1-47.
• [34]Gollwitzer PM, Schaal B: Metacognition in action: the importance of implementation intentions. Pers Soc Psychol Rev 1998, 2:124-136.
• [35]Locke EA, Lathan JP: A theory of goalsetting and taskperformance. Englewood Cliffs: Prentice-Hall; 1990.
• [36]Dijkstra A, de Vries H, Roijackers J: Long-term effectiveness of computer-tailored feedback on smoking cessation. Health Educ Research 1998, 13:207-214.
• [37]Dijkstra A, de Vries H, Bakker M: Pros and cons of quitting, self-efficacy, and the stages of change in smoking cessation. J Consult Clin Psychol 1996, 64:758-763.
• [38]Bergström G, Björklund C, Fried I, Lisspers J, Nathell L, Hermansson U, Helander A, Bodin L, Jensen IB: A comprehensive workplace intervention and its outcome with regard to lifestyle, health and sick leave: the AHA study. Work 2008, 31:167-180.
• [39]Dijkstra A, De Vries H: The development of computer-generated tailored interventions. Patient Educ Couns 1999, 36:193-203.
• [40]McAlister A: Behavioral journalism: beyond the marketing model for health communication. Am J Health Promot 1995, 9:417-420.
• [41]Fry JP, Neff RA: Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. J Med Internet Res 2009, 11:e16.
• [42]Schneider F, de Vries H, Candel M, van de Kar A, van Osch L: Periodic email prompts to re-use an internet-delivered computer-tailored lifestyle program: influence of prompt content and timing. J Med Internet Res 2013, 15:e23.
• [43]West R, Hajek P, Stead L, Stapleton J: Outcome criteria in smoking cessation trials: proposal for a common standard. Addiction 2005, 100:299-303.
• [44]Heatherton TF, Kozlowski LT, Frecker RC, Fagerström KO: The Fagerström test for nicotine dependence: a revision of the Fagerström tolerance questionnaire. Br J Addict 1991, 86:1119-1127.
• [45]Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P: International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003, 35:1381-1395.
• [46]Global initiative for chronic obstructive lung disease: Pocket guide to COPD diagnosis, management, and prevention. http://www.goldcopd.org webcite
• [47]Brooks S: Surveillance for respiratory hazards. ATS news 1982, 8:12-16.
• [48]Bestall JC, Paul EA, Garrod R, Garnham R, Jones PW, Wedzicha JA: Usefulness of the Medical Research Council (MRC) dyspnoea scale as a measure of disability in patients with chronic obstructive pulmonary disease. Thorax 1999, 54:581-586.
• [49]van der Molen T, Willemse BW, Schokker S, ten Hacken NH, Postma DS, Juniper EF: Development, validity and responsiveness of the Clinical COPD Questionnaire. Health Qual Life Outcomes 2003, 1:13. BioMed Central Full Text
• [50]Prochaska JO, DiClemente CC, Norcross JC: In search of how people change. Applications to addictive behaviors. Am Psychol 1992, 47:1102-1114.
• [51]Saunders RP, Evans MH, Joshi P: Developing a process-evaluation plan for assessing health promotion program implementation: a how-to guide. Health Promot Pract 2005, 6:134-147.
• [52]Strausss A, Corbin J: Basics of qualitative research: grounded theory procedures and techniques. London: Sage; 1990.
• [53]Eysenbach G: The law of attrition. J Med Internet Res 2005, 7:e11.
• [54]Lochman JE, Boxmeyer C, Powell N, Roth DL, Windle M: Masked intervention effects: Analytic methods addressing low dosage of intervention. New Dir Eval 2006, 110:19-32.