Development of “My Wheelchair Guide” app: a qualitative study

References

• Brault MW. Americans with disabilities: 2010. Washington (DC): US Department of Commerce, Economics and Statistics Administration, US Census Bureau; 2012.
   Google Scholar
• Allen S, Resnik L, Roy J. Promoting independence for wheelchair users: the role of home accommodations. Gerontologist. 2006;46:115–123.
   PubMed Web of Science ®Google Scholar
• Chaves ES, Boninger ML, Cooper R, et al. Assessing the influence of wheelchair technology on perception of participation in spinal cord injury. Arch Phys Med Rehabil. 2004;85:1854–1858.
   PubMed Web of Science ®Google Scholar
• Salminen AL, Brandt Å, Samuelsson K, et al. Mobility devices to promote activity and participation: a systematic review. J Rehabil Med. 2009;41:697–706.
   PubMed Web of Science ®Google Scholar
• Kendall M, Ungerer G, Dorsett P. Bridging the gap: transitional rehabilitation services for people with spinal cord injury. Disabil Rehabil. 2003;25:1008–1015.
   PubMed Web of Science ®Google Scholar
• Morgan KA, Engsberg JR, Gray DB. Important wheelchair skills for new manual wheelchair users: health care professional and wheelchair user perspectives. Disabil Rehabil Assist Technol. 2017;12:28–38.
   PubMed Web of Science ®Google Scholar
• Paralyzed Veterans of America Consortium for Spinal Cord Medicine. Preservation of upper limb function following spinal cord injury: a clinical practice guideline for health-care professionals. J Spinal Cord Med. 2005;28:434.
   PubMed Web of Science ®Google Scholar
• Boninger ML, Koontz AM, Sisto SA, et al. Pushrim biomechanics and injury prevention in spinal cord injury: recommendations based on CULP-SCI investigations. JRRD. 2004;42:9.
   Google Scholar
• Boninger ML, Impink BG, Cooper RA, et al. Relation between median and ulnar nerve function and wrist kinematics during wheelchair propulsion. Arch Phys Med Rehabil. 2004;85:1141–1145.
   PubMed Web of Science ®Google Scholar
• Fliess-Douer O, Vanlandewijck YC, Lubel Manor G, et al. A systematic review of wheelchair skills tests for manual wheelchair users with a spinal cord injury: towards a standardized outcome measure. Clin Rehabil. 2010;24:867–886.
   PubMed Web of Science ®Google Scholar
• Pickett SA, Diehl SM, Steigman PJ, et al. Consumer empowerment and self-advocacy outcomes in a randomized study of peer-led education. Community Ment Health J. 2012;48:420–430.
   PubMed Web of Science ®Google Scholar
• Vahdat S, Hamzehgardeshi L, Hessam S, et al. Patient involvement in health care decision making: a review. Iran Red Cres Med J. 2014;16:e12454.
   PubMed Web of Science ®Google Scholar
• Jedeloo S, Witte LPD, Linssen BAJ, et al. Client satisfaction with service delivery of assistive technology for outdoor mobility. Disabil Rehabil. 2002;24:550–557.
   PubMed Web of Science ®Google Scholar
• Evans S, Frank AO, Neophytou C, et al. Older adults' use of, and satisfaction with, electric powered indoor/outdoor wheelchairs. Age Ageing. 2007;36:431–435.
   PubMed Web of Science ®Google Scholar
• Greer N, Brasure M, Wilt TJ. Wheeled mobility (wheelchair) service delivery: scope of the evidence. Ann Intern Med. 2012;156:141–146.
   PubMed Web of Science ®Google Scholar
• Axelson P, Minkel J, Perr A. The manual wheelchair training guide. Santa Cruz (CA): Pax Press; 1998.
   Google Scholar
• Silva BMC, Rodrigues JJPC, de la Torre Díez I, et al. Mobile-health: a review of current state in 2015. J Biomed Inform. 2015;56:265–272.
   PubMed Web of Science ®Google Scholar
• Kirby RL, Dupuis DJ, Macphee AH, et al. The wheelchair skills test (version 2.4): measurement properties. Arch Phys Med Rehabil. 2004;85:794–804.
   PubMed Web of Science ®Google Scholar
• Cho MJ, Sim JL, Hwang SY. Development of smartphone educational application for patients with coronary artery disease. Healthc Inform Res. 2014;20:117–124.
   PubMedGoogle Scholar
• Whitehead L, Seaton P. The effectiveness of self-management mobile phone and tablet apps in long-term condition management: a systematic review. J Med Internet Res. 2016;18:e97.
   PubMed Web of Science ®Google Scholar
• Brzan PP, Rotman E, Pajnkihar M, et al. Mobile applications for control and self management of diabetes: a systematic review. J Med Syst. 2016;40:210.
   PubMed Web of Science ®Google Scholar
• Chen J, Cade JE, Allman-Farinelli M. The most popular smartphone apps for weight loss: a quality assessment. JMIR mHealth Uhealth. 2015;3:e104.
   PubMedGoogle Scholar
• Lee R Kirby. Wheelchair Skills Program (WSP) Version 4.1: Wheelchair Skills Training Program (WSTP) Manual.
   Google Scholar
• Lewis JR. IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. Int J Hum Comput Interact. 1995;7:57–78.
   Web of Science ®Google Scholar
• Nielsen J. Usability engineering. Elsevier; 1994.
   Google Scholar
• Brooke J. System usability scale (SUS): a quick-and-dirty method of system evaluation user information. Reading (UK): Digital Equipment Co Ltd; 1986.
   Google Scholar
• Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart. 1989;13:319–340.
   Web of Science ®Google Scholar
• Johnston P, Currie LM, Drynan D, et al. Getting it “right”: how collaborative relationships between people with disabilities and professionals can lead to the acquisition of needed assistive technology. Disabil Rehabil Assist Technol. 2014;9:421–431.
   PubMedGoogle Scholar
• Stuart S. Coding Analysis Toolkit is maintained and improved by personnel from Texifter. LLC: North Amherst & Springfield, MA; 2014.
   Google Scholar
• Coughlin S, Thind H, Liu B, et al. Mobile phone apps for preventing cancer through educational and behavioral interventions: state of the art and remaining challenges. JMIR mHealth Uhealth. 2016;4:e69.
   PubMed Web of Science ®Google Scholar
• Broderick J, Devine T, Langhans E, et al. Designing health literate mobile apps. Institute of Medicine of the National Academies, Washington, DC; 2014.
   Google Scholar
• Pusic MV, Ching K, Yin HS, et al. Seven practical principles for improving patient education: evidence-based ideas from cognition science. Paediatr Child Health. 2014;19:119–122.
   PubMed Web of Science ®Google Scholar
• Wilson EA, Wolf MS. Working memory and the design of health materials: a cognitive factors perspective. Patient Educ Couns. 2009;74:318–322.
   PubMed Web of Science ®Google Scholar
• Conroy DE, Yang C-H, Maher JP. Behavior change techniques in top-ranked mobile apps for physical activity. Am J Prev Med. 2014;46:649–652.
   PubMed Web of Science ®Google Scholar
• Dulin PL, Gonzalez VM, King DK, et al. Development of a smartphone-based, self-administered intervention system for alcohol use disorders. Alcohol Treat Quart. 2013;31:321–336.
   Google Scholar
• Best KL, Miller WC, Routhier F. A description of manual wheelchair skills training curriculum in entry-to-practice occupational and physical therapy programs in Canada. Disabil Rehabil Assist Technol. 2015;10:401–406.
   PubMed Web of Science ®Google Scholar
• Di Marco A, Russell M, Masters M. Standards for wheelchair prescription. Aust Occ Ther J. 2003;50:30–39.
   Google Scholar