A WeChat-Based Rehabilitation Platform for Children and Adolescents with Congenital Heart Disease to Promote Cardiac FITness (HeartFIT): Protocol for a Mixed-Methods Strategy from Evidence-Based Design to Pilot Study

References

• Zimmerman MS, Smith AGC, Sable CA, et al. Global, regional, and national burden of congenital heart disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Child Adolesc Heal. 2020;4:185–200. doi:10.1016/S2352-4642(19)30402-X
   Web of Science ®Google Scholar
• Bouma BJ, Mulder BJM. Changing landscape of congenital heart disease. Circ Res. 2017;120:908–922. doi:10.1161/CIRCRESAHA.116.309302
   PubMed Web of Science ®Google Scholar
• Takken T, Giardini A, Reybrouck T, et al. Recommendations for physical activity, recreation sport, and exercise training in paediatric patients with congenital heart disease: a report from the Exercise, Basic & Translational Research Section of the European Association of Cardiovascular Prevention and Rehabilitation, the European Congenital Heart and Lung Exercise Group, and the Association for European Paediatric Cardiology. Eur J Prev Cardiol. 2012;19:1034–1065. doi:10.1177/1741826711420000
   PubMed Web of Science ®Google Scholar
• Longmuir PE, Brothers JA, De Ferranti SD, et al. Promotion of physical activity for children and adults with congenital heart disease: a scientific statement from the American Heart Association. Circulation. 2013;127:2147–2159. doi:10.1161/CIR.0b013e318293688f
   PubMed Web of Science ®Google Scholar
• Guthold R, Stevens GA, Riley LM, et al. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1.6 million participants. Lancet Child Adolesc Heal. 2020;4:23–35. doi:10.1016/S2352-4642(19)30323-2
   Web of Science ®Google Scholar
• Caterini JE, Campisi E, Cifra B. Physical activity promotion in pediatric congenital heart disease: are we running late? Can J Cardiol. 2020;36:1406–1416. doi:10.1016/j.cjca.2020.07.003
   PubMed Web of Science ®Google Scholar
• Amedro P, Gavotto A, Guillaumont S, et al. Cardiopulmonary fitness in children with congenital heart diseases versus healthy children. Heart. 2018;104:1026–1036. doi:10.1136/heartjnl-2017-312339
   PubMed Web of Science ®Google Scholar
• Gupta S, Rohatgi A, Ayers CR, et al. Cardiorespiratory fitness and classification of risk of cardiovascular disease mortality. Circulation. 2011;123:1377–1383. doi:10.1161/CIRCULATIONAHA.110.003236
   PubMed Web of Science ®Google Scholar
• Imboden MT, Harber MP, Whaley MH, et al. Cardiorespiratory fitness and mortality in healthy men and women. J Am Coll Cardiol. 2018;72:2283–2292. doi:10.1016/j.jacc.2018.08.2166
   PubMed Web of Science ®Google Scholar
• American College of Sports Medicine. ACSM’s Guidelines for Exercise Testing and Prescription. Lippincott Williams & Wilkins; 2013.
   Google Scholar
• Patel PN, Zwibel H. Physiology, Exercise. StatPearls; 2019.
   Google Scholar
• Curran T, Gauthier N, Duty SM, et al. Identifying elements for a comprehensive paediatric cardiac rehabilitation programme. Cardiol Young. 2020;30:1473–1481. doi:10.1017/S1047951120002346
   PubMed Web of Science ®Google Scholar
• Tikkanen AU, Oyaga AR, Riano OA, et al. Paediatric cardiac rehabilitation in congenital heart disease: a systematic review. Cardiol Young. 2012;22:241–250. doi:10.1017/S1047951111002010
   PubMed Web of Science ®Google Scholar
• Thomas RJ, Beatty AL, Beckie TM, et al. Home-based cardiac rehabilitation: a scientific statement from the American Association of Cardiovascular and Pulmonary Rehabilitation, the American Heart Association, and the American College of Cardiology. Circulation. 2019;140:e69–e89. doi:10.1161/CIR.0000000000000663
   PubMed Web of Science ®Google Scholar
• Tencent. WeChat official accounts platform; 2022. Available from: https://mp.weixin.qq.com/?lang=en_US&token=. Accessed February 21, 2022.
   Google Scholar
• Chen X, Zhou X, Li H, et al. The value of WeChat application in chronic diseases management in China. Comput Methods Programs Biomed. 2020;196:105710. doi:10.1016/j.cmpb.2020.105710
   PubMed Web of Science ®Google Scholar
• Shah SG, Robinson I, Alshawi S. Developing medical device technologies from users’ perspectives: a theoretical framework for involving users in the development process. Int J Technol Assess Health Care. 2009;25:514–521. doi:10.1017/S0266462309990328
   PubMed Web of Science ®Google Scholar
• Van Cleave JH, Fu MR, Bennett AV, et al. The development, usability, and reliability of the Electronic Patient Visit Assessment (ePVA) for head and neck cancer. Mhealth. 2019;5:21. doi:10.21037/mhealth.2019.06.05
   PubMedGoogle Scholar
• Fu MR, Axelrod D, Guth AA, et al. mHealth self-care interventions: managing symptoms following breast cancer treatment. Mhealth. 2016;2:28. doi:10.21037/mhealth.2016.07.03
   PubMedGoogle Scholar
• Klausen SH, Andersen LL, Søndergaard L, et al. Effects of eHealth physical activity encouragement in adolescents with complex congenital heart disease: the PReVaiL randomized clinical trial. Int J Cardiol. 2016;221:1100–1106. doi:10.1016/j.ijcard.2016.07.092
   PubMed Web of Science ®Google Scholar
• Lemire O, Yaraskavitch J, Lougheed J, et al. Impacting child health outcomes in congenital heart disease: cluster randomized controlled trial protocol of in-clinic physical activity counselling. Contemp Clin Trials. 2020;91:105994. doi:10.1016/j.cct.2020.105994
   PubMed Web of Science ®Google Scholar
• Meyer M, Brudy L, Fuertes-Moure A, et al. E-health exercise intervention for pediatric patients with congenital heart disease: a randomized controlled trial. J Pediatr. 2021;233:163–168. doi:10.1016/j.jpeds.2021.01.058
   PubMed Web of Science ®Google Scholar
• Rombeek M, De Jesus S, Altamirano-Diaz L, et al. The use of smartphones to influence lifestyle changes in overweight and obese youth with congenital heart disease: a single-arm study. Pilot Feasibility Stud. 2017;3:59. doi:10.1186/s40814-017-0207-y
   PubMedGoogle Scholar
• Rombeek M, De Jesus S, Prapavessis H, et al. Improving remote lifestyle intervention studies in children: participant and caregiver feedback of the smart heart study. Patient Educ Couns. 2020;103:1326–1334. doi:10.1016/j.pec.2020.02.016
   PubMed Web of Science ®Google Scholar
• DiCicco-Bloom B, Crabtree BF. The qualitative research interview. Med Educ. 2006;40:314–321. doi:10.1111/j.1365-2929.2006.02418.x
   PubMed Web of Science ®Google Scholar
• Magny-Normilus C, Whittemore R, Wexler DJ, et al. Barriers to type 2 diabetes management among older adult Haitian immigrants. Sci Diabetes Self Manag Care. 2021;47:382–390. doi:10.1177/26350106211040435
   PubMedGoogle Scholar
• Polly R, Sawin K. The individual and family self-management theory: background and perspectives on context, process, and outcomes. Nurs Outlook. 2009;57:217–225. doi:10.1016/j.outlook.2008.10.004
   PubMed Web of Science ®Google Scholar
• Michie S, Ashford S, Sniehotta FF, et al. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychol Heal. 2011;26:1479–1498. doi:10.1080/08870446.2010.540664
   PubMed Web of Science ®Google Scholar
• Monteiro-Guerra F, Rivera-Romero O, Fernandez-Luque L, et al. Personalization in real-time physical activity coaching using mobile applications: a scoping review. IEEE J Biomed Heal Informatics. 2020;24:1738–1751. doi:10.1109/JBHI.2019.2947243
   PubMed Web of Science ®Google Scholar
• International Organization for Standardization. Ergonomics of human-system interaction-part 11: usability: definitions and concepts; 2018. Available from: https://www.iso.org/standard/63500.html. Accessed June 21, 2021.
   Google Scholar
• Alwashmi MF, Hawboldt J, Davis E, et al. The iterative convergent design for mobile health usability testing: mixed-methods approach. JMIR Mhealth Uhealth. 2019;7:e11656. doi:10.2196/11656
   PubMed Web of Science ®Google Scholar
• Nielsen J. Usability inspection methods. In: Conference companion on Human factors in computing systems; 1994:413–414.
   Google Scholar
• Fu MR, McTernan ML, Qiu JM, et al. The effects of Kinect-enhanced lymphatic exercise intervention on lymphatic pain, swelling, and lymph fluid level. Integr Cancer Ther. 2021;20:1–14. doi:10.1177/15347354211026757
   Web of Science ®Google Scholar
• Nielsen Norman Group. Why you only need to test with 5 users?; 2000. Available from: https://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users/. Accessed June 21, 2021.
   Google Scholar
• Fu MR, Axelrod D, Guth AA, et al. Usability and feasibility of health IT interventions to enhance self-care for lymphedema symptom management in breast cancer survivors. Internet Interv. 2016;5:56–64. doi:10.1016/j.invent.2016.08.001
   PubMedGoogle Scholar
• Zhou L, Bao J, Setiawan IMA, et al. The mHealth app usability questionnaire (MAUQ): development and validation study. JMIR Mhealth Uhealth. 2019;7:e11500. doi:10.2196/11500
   PubMed Web of Science ®Google Scholar
• Craig P, Dieppe P, Macintyre S, et al. Developing and evaluating complex interventions: following considerable development in the field since 2006, MRC and NIHR have jointly commissioned an update of this guidance to be published in 2019; 2019. Available from: https://mrc.ukri.org/documents/pdf/complex-interventions-guidance/. Accessed June 28, 2021.
   Google Scholar
• Gardner B, Lally P, Wardle J. Making health habitual: the psychology of “habit-formation” and general practice. Br J Gen Pract. 2012;62:664–666. doi:10.3399/bjgp12X659466
   PubMed Web of Science ®Google Scholar
• Jacques M, Hiam D, Craig J, et al. Epigenetic changes in healthy human skeletal muscle following exercise - a systematic review. Epigenetics. 2019;14:633–648. doi:10.1080/15592294.2019.1614416
   PubMed Web of Science ®Google Scholar
• Chan AW, Tetzlaff JM, Gøtzsche PC, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586. doi:10.1136/bmj.e7586
   PubMed Web of Science ®Google Scholar
• Hoffmann TC, Glasziou PP, Boutron I, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014;348:g1687. doi:10.1136/bmj.g1687
   PubMed Web of Science ®Google Scholar
• Frigiola A, Amedro P, Gavotto A, et al. Impact of a centre and home-based cardiac rehabilitation program on the quality of life of teenagers and young adults with congenital heart disease: the QUALI-REHAB study rationale, design and methods. Int J Cardiol. 2019;288:70–71. doi:10.1016/j.ijcard.2019.03.006
   PubMed Web of Science ®Google Scholar
• Budts W, Börjesson M, Chessa M, et al. Physical activity in adolescents and adults with congenital heart defects: individualized exercise prescription. Eur Heart J. 2013;34:3669–3674. doi:10.1093/eurheartj/eht433
   PubMed Web of Science ®Google Scholar
• Kelley ML, Heffer RW, Gresham FM, et al. Development of a modified treatment evaluation inventory. J Psychopathol Behav Assess. 1989;11:235–247. doi:10.1007/BF00960495
   Web of Science ®Google Scholar
• Whitehead AL, Julious SA, Cooper CL, et al. Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable. Stat Methods Med Res. 2016;25:1057–1073. doi:10.1177/0962280215588241
   PubMed Web of Science ®Google Scholar
• Domin A, Spruijt-metz D, Theisen D, et al. Smartphone-based interventions for physical activity promotion: scoping review of the evidence over the last 10 years. JMIR Mhealth Uhealth. 2021;9:e24308. doi:10.2196/24308
   PubMed Web of Science ®Google Scholar
• Williams CA, Wadey C, Pieles G, et al. Physical activity interventions for people with congenital heart disease. Cochrane Database Syst Rev. 2020;10:CD013400. doi:10.1002/14651858.CD013400.pub2
   PubMed Web of Science ®Google Scholar
• Fessenden T. Recruiting and screening candidates for user research projects; 2021. Available from: https://www.nngroup.com/articles/recruiting-screening-research-candidates/. Accessed February 21, 2022.
   Google Scholar