Development of a co-created online self-management program for people with lower limb loss: self-management for amputee rehabilitation using technology (SMART)

References

• Imam B, Miller WC, Finlayson HC, et al. Incidence of lower limb amputation in Canada. Can J Public Health. 2017;108(4):374–380.
   PubMed Web of Science ®Google Scholar
• Esfandiari E, Yavari A, Karimi A, et al. Long-term symptoms and function after war-related lower limb amputation: a national cross-sectional study. Acta Orthop Traumatol Turc. 2018;52(5):348–351.
   PubMed Web of Science ®Google Scholar
• Miller WC, Deathe AB, Speechley M, et al. The influence of falling, fear of falling, and balance confidence on prosthetic mobility and social activity among individuals with a lower extremity amputation. Arch Phys Med Rehabil. 2001;82(9):1238–1244.
   PubMed Web of Science ®Google Scholar
• Hunter SW, Batchelor F, Hill KD, et al. Risk factors for falls in people with a lower limb amputation. Pm R. 2017;9(2):170–180.e1.
   PubMedGoogle Scholar
• Schulman-Green D, Jaser S, Martin F, et al. Processes of self-management in chronic illness. J Nurs Scholarsh. 2012;44(2):136–144.
   PubMed Web of Science ®Google Scholar
• Turner AP, Wegener ST, Williams RM, et al. Self-management to improve function after amputation: a randomized controlled trial of the VETPALS intervention. Arch Phys Med Rehab. 2021;102(7):1274–1282.
   PubMed Web of Science ®Google Scholar
• Wegener ST, Mackenzie EJ, Ephraim P, et al. Self-management improves outcomes in persons with limb loss. Arch Phys Med Rehabil. 2009;90(3):373–380.
   PubMed Web of Science ®Google Scholar
• Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84(2):191–215.
   PubMed Web of Science ®Google Scholar
• Swiontkowski MF, Engelberg R, Martin DP, et al. Short Musculoskeletal Function Assessment Questionnaire: validity, reliability, and responsiveness. Orthoped Trauma Direct. 2005;3(2):29–34.
   Google Scholar
• World Health Organization Global Observatory for eHealth. mHealth: new horizons for health through mobile technologies: second global survey on eHealth. Geneva: World Health Organization; 2011.
   Google Scholar
• Huygens MWJ, Vermeulen J, Swinkels ICS, et al. Expectations and needs of patients with a chronic disease toward self-management and eHealth for self-management purposes. BMC Health Serv Res. 2016;16(1):232.
   PubMedGoogle Scholar
• Dicianno BE, Parmanto B, Fairman AD, et al. Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation. Phys Ther. 2015;95(3):397–405.
   PubMed Web of Science ®Google Scholar
• Esfandiari E, Miller WC, Berardi A, et al. Telehealth interventions for mobility after lower limb loss: A systematic review and meta-analysis of randomized controlled trials. Prosthet Orthot Int. 2022;46(2):108–120.
   PubMed Web of Science ®Google Scholar
• National Institute for Health and Care Excellence (NICE). Behaviour change: individual approaches. London: NICE public health guidance; 2014.
   Google Scholar
• Davis R, Campbell R, Hildon Z, et al. Theories of behaviour and behaviour change across the social and behavioural sciences: a scoping review. Health Psychol Rev. 2015;9(3):323–344.
   PubMed Web of Science ®Google Scholar
• Carnes D, Homer KE, Miles CL, et al. Effective delivery styles and content for self-management interventions for chronic musculoskeletal pain: a systematic literature review. Clin J Pain. 2012;28(4):344–354.
   PubMed Web of Science ®Google Scholar
• French SD, Green SE, O’Connor DA, et al. Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the theoretical domains framework. Implement Sci. 2012;7(1):38.
   PubMedGoogle Scholar
• Craig P, Dieppe P, Macintyre S, et al. Developing and evaluating complex interventions: the new medical research council guidance. Int J Nurs Stud. 2013;50:587–592.
   PubMed Web of Science ®Google Scholar
• Bartholomew LK, Parcel GS, Kok G. Intervention mapping: a process for developing theory- and evidence-based health education programs. Health Educ Behav. 1998;25(5):545–563.
   PubMed Web of Science ®Google Scholar
• Imam B. Incidence and rehabilitation of lower limb amputation in Canada, and feasibility of a novel training program. Vancouver: The University of British Columbia; 2017.
   Google Scholar
• Brodie L, Woodman M, editors. Prioritization of stakeholder value using metrics. Evaluation of Novel Approaches to Software Engineering. Berlin, Heidelberg: Springer; 2011.
   Google Scholar
• Leask CF, Sandlund M, Skelton DA, et al. Framework, principles and recommendations for utilising participatory methodologies in the co-creation and evaluation of public health interventions. Res Involve Engage. 2019;5(1):2.
   PubMedGoogle Scholar
• Esfandiari E. Self-Management for Amputee Rehabilitation using Technology (SMART): development of a co-created eHealth program and feasibility assessment [Text]. Vancouver, BC: University of British Columbia; 2022.
   Google Scholar
• Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–1288.
   PubMed Web of Science ®Google Scholar
• Cane J, O'Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012;7(1):37.
   PubMed Web of Science ®Google Scholar
• Rothgangel A, Braun S, Smeets R, et al. Design and development of a telerehabilitation platform for patients with phantom limb pain: a user-centered approach. JMIR Rehabil Assist Technol. 2017;4(1):e2.
   PubMedGoogle 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 Health. 2011;26(11):1479–1498.
   PubMed Web of Science ®Google Scholar
• Michie S, Richardson M, Johnston M, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81–95.
   PubMed Web of Science ®Google Scholar
• Higgins JPT, Savović J, Page MJ, et al. Chapter 8: assessing risk of bias in a randomized trial. In: Higgins JPT, Thomas J, Chandler J, editors. Cochrane handbook for systematic reviews of interventions version 6.0 (updated July 2019). Cochrane; 2019.
   Google Scholar
• Cooke L. Assessing concurrent Think-Aloud protocol as a usability test method: a technical communication approach. IEEE Trans Profess Commun. 2010;53(3):202–215.
   Web of Science ®Google Scholar
• Jaspers MW. A comparison of usability methods for testing interactive health technologies: methodological aspects and empirical evidence. Int J Med Inform. 2009;78(5):340–353.
   PubMed Web of Science ®Google Scholar
• Esfandiari E, Miller WC, King S. Usability of Self-Management for Amputee Rehabilitation using Technology (SMART): an online self-management program for users with lower limb loss. Prostheti Orthot Int. 2022.
   Web of Science ®Google Scholar
• Crane D, Garnett C, Brown J, et al. Factors influencing usability of a smartphone app to reduce excessive alcohol consumption: think aloud and interview studies. Front Public Health. 2017;5(39):39.
   PubMedGoogle Scholar
• Amann J, Fiordelli M, Brach M, et al. Co-designing a self-management app prototype to support people with spinal cord injury in the prevention of pressure injuries: mixed methods study. JMIR Mhealth Uhealth. 2020;8(7):e18018.
   PubMed Web of Science ®Google Scholar
• Bolle S, Romijn G, Smets EMA, et al. Older cancer patients’ user experiences with web-based health information tools: a Think-Aloud study. J Med Internet Res. 2016;18(7):e208.
   PubMed Web of Science ®Google Scholar
• Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–699.
   PubMed Web of Science ®Google Scholar
• Blair J, Conrad FG. Sample size for cognitive interview pretesting. Public Opin Q. 2011;75(4):636–658.
   Web of Science ®Google Scholar
• Thiese MS. Observational and interventional study design types; an overview. Biochem Med. 2014;24(2):199–210.
   PubMed Web of Science ®Google Scholar
• Zhang WQ, Creswell J. The use of "mixing" procedure of mixed methods in health services research. Med Care. 2013;51(8):e51–e57.
   PubMed Web of Science ®Google Scholar
• Mortenson BW, Oliffe JL. Mixed methods research in occupational therapy: a survey and critique. OTJR Occup Particip Health. 2009;29(1):14–23.
   Web of Science ®Google Scholar
• Gutnick D, Reims K, Davis C, et al. Brief action planning to facilitate behavior change and support patient self-management. J Clin Outcomes Manag. 2014;21(1):17–29.
   Google Scholar
• Arain M, Campbell MJ, Cooper CL, et al. What is a pilot or feasibility study? A review of current practice and editorial policy. BMC Med Res Methodol. 2010;10(1):67.
   PubMed Web of Science ®Google Scholar
• Thabane L, Ma J, Chu R, et al. A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol. 2010;10(1):1.
   PubMed Web of Science ®Google Scholar
• Bandura A. Health promotion by social cognitive means. Health Educ Behav. 2004;31(2):143–164.
   PubMed Web of Science ®Google Scholar
• Schwarzer R, Renner B. Social-cognitive predictors of health behavior: action self-efficacy and coping self-efficacy. Health Psychol. 2000;19(5):487–495.
   PubMed Web of Science ®Google Scholar
• Schwarzer R, Lippke S, Luszczynska A. Mechanisms of health behavior change in persons with chronic illness or disability: the Health Action Process Approach (HAPA). Rehabil Psychol. 2011;56(3):161–170.
   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.
   PubMed Web of Science ®Google Scholar
• Curran GM, Bauer M, Mittman B, et al. Effectiveness–implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217–226.
   PubMed Web of Science ®Google Scholar
• Esfandiari E, Miller WC, King S, et al. Protocol for a randomized controlled trial to assess the effect of Self-Management for Amputee Rehabilitation using Technology (SMART): an online self-management program for individuals with lower limb loss. PloS One. 2022.
   PubMedGoogle Scholar
• Hart T, Bagiella E. Design and implementation of clinical trials in rehabilitation research. Arch Phys Med Rehabil. 2012;93(8 Suppl.):S117–S126.
   PubMed Web of Science ®Google Scholar
• Clemens SM, Gailey RS, Bennett CL, et al. The component Timed-Up-and-Go test: the utility and psychometric properties of using a mobile application to determine prosthetic mobility in people with lower limb amputations. Clin Rehabil. 2018;32(3):388–397.
   PubMed Web of Science ®Google Scholar
• Asano M, Miller WC, Eng JJ. Development and psychometric properties of the Ambulatory Self-Confidence Questionnaire. Gerontology. 2007;53(6):373–381.
   PubMed Web of Science ®Google Scholar
• Black N. Patient reported outcome measures could help transform healthcare. BMJ. 2013;346:f167.
   PubMed Web of Science ®Google Scholar
• Sakakibara BM, Lear SA, Barr SI, et al. Development of a chronic disease management program for stroke survivors using intervention mapping: the stroke coach. Arch Phys Med Rehabil. 2017;98(6):1195–1202.
   PubMed Web of Science ®Google Scholar
• Puijk-Hekman S, van Gaal GIB, Bredie JHS, et al. Self-Management support program for patients with cardiovascular diseases: user-centered development of the tailored, web-based program vascular view. JMIR Res Protoc. 2017;6(2):e18.
   PubMedGoogle Scholar
• Millet N, McDermott HJ, Moss EL, et al. Increasing physical activity levels following treatment for cervical cancer: an intervention mapping approach. J Cancer Surviv. 2021;16:1–9.
   Web of Science ®Google Scholar
• Rothgangel AS, Braun S, Schulz RJ, et al. The PACT trial: PAtient Centered Telerehabilitation: effectiveness of software-supported and traditional mirror therapy in patients with phantom limb pain following lower limb amputation: protocol of a multicentre randomised controlled trial. J Physiother. 2015;61(1):42; discussion 42.
   PubMed Web of Science ®Google Scholar
• Christiansen CL, Miller MJ, Murray AM, et al. Behavior-change intervention targeting physical function, walking, and disability after dysvascular amputation: a randomized controlled pilot trial. Arch Phys Med Rehabil. 2018;99(11):2160–2167.
   PubMed Web of Science ®Google Scholar
• Lee DJ, Veneri DA. Development and acceptability testing of decision trees for self-management of prosthetic socket fit in adults with lower limb amputation. Disabil Rehabil. 2017;40:1–6.
   Web of Science ®Google Scholar
• Abraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol. 2008;27(3):379–387.
   PubMed Web of Science ®Google Scholar
• Nilsen P. Making sense of implementation theories, models and frameworks. Implement Sci. 2015;10(1):53.
   PubMed Web of Science ®Google Scholar
• Nilsen P, Roback K, Broström A, et al. Creatures of habit: accounting for the role of habit in implementation research on clinical behaviour change. Implement Sci. 2012;7(1):1–6.
   Google Scholar
• Cook JA, Copeland ME, Jonikas JA, et al. Results of a randomized controlled trial of mental illness self-management using wellness recovery action planning. Schizophr Bull. 2012;38(4):881–891.
   PubMed Web of Science ®Google Scholar
• Bolle S, van Weert JC, Daams JG, et al. Online health information tool effectiveness for older patients: a systematic review of the literature. J Health Commun. 2015;20(9):1067–1083.
   PubMed Web of Science ®Google Scholar
• Su JJ, Yu DSF, Paguio JT. Effect of eHealth cardiac rehabilitation on health outcomes of coronary heart disease patients: a systematic review and meta‐analysis. J Adv Nurs. 2020;76(3):754–772.
   PubMed Web of Science ®Google Scholar
• Laat F, Dijkstra P, Rommers G, et al. Prevalence of comorbidity and its association with demographic and clinical characteristics in persons wearing a prosthesis after a lower-limb amputation. J Rehabil Med. 2018;50(7):629–635.
   PubMed Web of Science ®Google Scholar
• Mundell BF, Luetmer MT, Kremers HM, et al. The risk of major cardiovascular events for adults with transfemoral amputation. J Neuroeng Rehabil. 2018;15(Suppl. 1):58.
   PubMed Web of Science ®Google Scholar
• Whiteneck GG, Harrison-Felix CL, Mellick DC, et al. Quantifying environmental factors: a measure of physical, attitudinal, service, productivity, and policy barriers. Arch Phys Med Rehabil. 2004;85(8):1324–1335.
   PubMed Web of Science ®Google Scholar
• Ephraim PL, MacKenzie EJ, Wegener ST, et al. Environmental barriers experienced by amputees: The Craig Hospital Inventory of Environmental Factors-Short Form. Arch Phys Med Rehabil. 2006;87(3):328–333.
   PubMed Web of Science ®Google Scholar