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Research Article

Clinicians’ perspectives and usage of rehabilitation technology: a survey

, , &
Received 16 May 2023, Accepted 08 Nov 2023, Published online: 21 Nov 2023

References

  • Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth research: a decade of evolution. J Med Internet Res. 2013;15(5):e2430. doi:10.2196/jmir.2430.
  • Signal NEJ, et al. What helps or hinders the uptake of new technologies into rehabilitation practice? In Converging clinical and engineering research on neurorehabilitation III. 2019. Cham: springer International Publishing.
  • Mehrholz J, Thomas S, Elsner B. Treadmill training and body weight support for walking after stroke. Cochrane Database Syst Rev. 2017;8(8):CD002840. doi:10.1002/14651858.CD002840.pub4.
  • Veerbeek JM, Langbroek-Amersfoort AC, van Wegen EEH, et al. Effects of robot-assisted therapy for the upper limb after stroke: a systematic review and meta-analysis. Neurorehabil Neural Repair. 2017;31(2):107–121. doi:10.1177/1545968316666957.
  • Lo K, Stephenson M, Lockwood C. Effectiveness of robotic assisted rehabilitation for mobility and functional ability in adult stroke patients: a systematic review. JBI Database System Rev Implement Rep. 2017;15(12):3049–3091. doi:10.11124/JBISRIR-2017-003456.
  • Bunge LR, Davidson AJ, Helmore BR, et al. Effectiveness of powered exoskeleton use on gait in individuals with cerebral palsy: a systematic review. PLoS One. 2021;16(5):e0252193. doi:10.1371/journal.pone.0252193.
  • Ravi DK, Kumar N, Singhi P. Effectiveness of virtual reality rehabilitation for children and adolescents with cerebral palsy: an updated evidence-based systematic review. Physiotherapy. 2017;103(3):245–258. doi:10.1016/j.physio.2016.08.004.
  • El-Shamy SM. Efficacy of Armeo® robotic therapy versus conventional therapy on upper limb function in children with hemiplegic cerebral palsy. Am J Phys Med Rehabil. 2018;97(3):164–169. doi:10.1097/PHM.0000000000000852.
  • Modi N, Singh J. A survey of research trends in assistive technologies using information modelling techniques. Disabil Rehabil Assist Technol. 2022;17(6):605–623. doi:10.1080/17483107.2020.1817992.
  • Aqel MOA, et al. Review of recent research trends in assistive technologies for rehabilitation. In 2019 International Conference on Promising Electronic Technologies (ICPET). 2019. doi:10.1109/ICPET.2019.00011.
  • Clark WE, Sivan M, O’Connor RJ. Evaluating the use of robotic and virtual reality rehabilitation technologies to improve function in stroke survivors: a narrative review. J Rehabil Assist Technol Eng. 2019;6:2055668319863557.
  • Wickens C, et al. An introduction to human factors engineering. 2003.
  • Rennick-Egglestone S, Mawson S. Homes of stroke survivors are a challenging environment for rehabilitation technologies. JMIR Rehabil Assist Technol. 2021;8(2):e12029. doi:10.2196/12029.
  • Scherer M, Jutai J, Fuhrer M, et al. A framework for modelling the selection of assistive technology devices (ATDs). Disabil Rehabil Assist Technol. 2007;2(1):1–8. doi:10.1080/17483100600845414.
  • Keshner EA, Fung J. The quest to apply VR technology to rehabilitation: tribulations and treasures. J Vestib Res. 2017;27(1):1–5. doi:10.3233/VES-170610.
  • Molina KI, Ricci NA, de Moraes SA, et al. Virtual reality using games for improving physical functioning in older adults: a systematic review. J Neuroeng Rehabil. 2014;11(1):156. doi:10.1186/1743-0003-11-156.
  • Proffitt R, Lange B. Considerations in the efficacy and effectiveness of virtual reality interventions for stroke rehabilitation: moving the field forward. Phys Ther. 2015;95(3):441–448. doi:10.2522/ptj.20130571.
  • Bower KJ, Verdonck M, Hamilton A, et al. What factors influence clinicians’ use of technology in neurorehabilitation? A multisite qualitative study. Phys Ther. 2021;101(5):pzab031. doi:10.1093/ptj/pzab031.
  • van Ommeren AL, Smulders LC, Prange-Lasonder GB, et al. Assistive technology for the upper extremities after stroke: systematic review of users’ needs. JMIR Rehabil Assist Technol. 2018;5(2):e10510. doi:10.2196/10510.
  • Demain S, Burridge J, Ellis-Hill C, et al. Assistive technologies after stroke: self-management or fending for yourself? A focus group study. BMC Health Serv Res. 2013;13(1):334. doi:10.1186/1472-6963-13-334.
  • Burridge JH, Hughes A-M. Potential for new technologies in clinical practice. Curr Opin Neurol. 2010;23(6):671–677. doi:10.1097/WCO.0b013e3283402af5.
  • Fager SK, Burnfield JM. Patients’ experiences with technology during inpatient rehabilitation: opportunities to support independence and therapeutic engagement. Disab Rehabil. 2014;9(2):121–127.
  • Fritz H, Patzer D, Galen SS. Robotic exoskeletons for reengaging in everyday activities: promises, pitfalls, and opportunities. Disabil Rehabil. 2019;41(5):560–563. doi:10.1080/09638288.2017.1398786.
  • Rose T, Nam CS, Chen KB. Immersion of virtual reality for rehabilitation – review. Appl Ergon. 2018;69:153–161. doi:10.1016/j.apergo.2018.01.009.
  • McNulty PA, Thompson-Butel AG, Faux SG, et al. The efficacy of wii-based movement therapy for upper limb rehabilitation in the chronic poststroke period: a randomized controlled trial. Int J Stroke. 2015;10(8):1253–1260. doi:10.1111/ijs.12594.
  • Mehrholz J, Elsner B, Pohl M. Treadmill training for improving walking function after stroke: a major update of a cochrane review. Stroke. 2014;45(5):e76–e77. doi:10.1161/STROKEAHA.114.004999.
  • Mehrholz J, et al. Electromechanical and robot‐assisted arm training for improving generic activities of daily living, arm function, and arm muscle strength after stroke. Cochrane Database Syst Rev. 2012;(6):CD006876. doi:10.1002/14651858.CD006876.pub3.
  • Kitago T, Goldsmith J, Harran M, et al. Robotic therapy for chronic stroke: general recovery of impairment or improved task-specific skill? J Neurophysiol. 2015;114(3):1885–1894. doi:10.1152/jn.00336.2015.
  • Lo K, Stephenson M, Lockwood C. Effectiveness of robotic assisted rehabilitation for mobility and functional ability in adult stroke patients: a systematic review protocol. JBI Database System Rev Implement Rep. 2017;15(1):39–48. doi:10.11124/JBISRIR-2016-002957.
  • Langan J, Subryan H, Nwogu I, et al. Reported use of technology in stroke rehabilitation by physical and occupational therapists. Disabil Rehabil Assist Technol. 2018;13(7):641–647. doi:10.1080/17483107.2017.1362043.
  • Edwards M, Cadena A, Manthey J. Use of tablet by occupational therapy practitioners. OT Practice. 2016;21(14):17–19.
  • Liu L, Miguel Cruz A, Rios Rincon A, et al. What factors determine therapists’ acceptance of new technologies for rehabilitation–a study using the unified theory of acceptance and use of technology (UTAUT). Disabil Rehabil. 2015;37(5):447–455. doi:10.3109/09638288.2014.923529.
  • Allouch SB, van Velsen L. Fit by bits: an explorative study of sports physiotherapists’ perception of quantified self technologies. Stud Health Technol Inform. 2018;247:296–300.
  • Morris J, Jones M, Thompson N, et al. Clinician perspectives on mRehab interventions and technologies for people with disabilities in the United States: a national survey. Int J Environ Res Public Health. 2019;16(21):4220. doi:10.3390/ijerph16214220.
  • McGovern MP, Fox TS, Xie H, et al. A survey of clinical practices and readiness to adopt evidence-based practices: dissemination research in an addiction treatment system. J Subst Abuse Treat. 2004;26(4):305–312. doi:10.1016/j.jsat.2004.03.003.
  • Rutten LJF, St Sauver JL, Beebe TJ, et al. Clinician knowledge, clinician barriers, and perceived parental barriers regarding human papillomavirus vaccination: association with initiation and completion rates. Vaccine. 2017;35(1):164–169. doi:10.1016/j.vaccine.2016.11.012.
  • Guntzviller LM. The SAGE encyclopedia of communication research methods. Thousand Oaks, CA:SAGE Publications, Inc., 2017.
  • Aboujaoudé A, Bier N, Lussier M, et al. Canadian occupational therapists’ use of technology with older adults: a nationwide survey. OTJR. 2021;41(2):67–79. doi:10.1177/1539449220961340.
  • Kulkarni P, Duffy O, Synnott J, et al. Speech and language practitioners’ experiences of commercially available voice-assisted technology: web-Based survey study. JMIR Rehabil Assist Technol. 2022;9(1):e29249. doi:10.2196/29249.
  • Glegg SMN, Levac DE. Barriers, facilitators and interventions to support virtual reality implementation in rehabilitation: a scoping review. Pm R. 2018;10(11):1237–1251.e1. doi:10.1016/j.pmrj.2018.07.004.
  • Pilli K, Worne B, Simpson G. Clinician experiences with using assistive technology in brain injury rehabilitation: a survey of clinician capability, attitudes, and barriers. Brain Impairment. 2023;24(2):185–203. doi:10.1017/BrImp.2023.5.
  • Bennett LE, Jewell VD, Scheirton L, et al. Productivity standards and the impact on quality of care: a national survey of inpatient rehabilitation professionals. Open J Occup Ther. 2019;7(4):1–11. doi:10.15453/2168-6408.1598.
  • Vaezipour A, Aldridge D, Koenig S, et al. “It’s really exciting to think where it could go”: a mixed-method investigation of clinician acceptance, barriers and enablers of virtual reality technology in communication rehabilitation. Disabil Rehabil. 2022;44(15):3946–3958. doi:10.1080/09638288.2021.1895333.
  • Celian C, Swanson V, Shah M, et al. A day in the life: a qualitative study of clinical decision-making and uptake of neurorehabilitation technology. J Neuroeng Rehabil. 2021;18(1):121. doi:10.1186/s12984-021-00911-6.
  • Chua KSG, Kuah CWK. Innovating with rehabilitation technology in the real world: promises, potentials, and perspectives. Am J Phys Med Rehabil. 2017;96(10 Suppl 1):S150–S156. doi:10.1097/PHM.0000000000000799.
  • Hughes CML, Padilla A, Hintze A, et al. Developing an mHealth app for post-stroke upper limb rehabilitation: feedback from US and ethiopian rehabilitation clinicians. Health Informatics J. 2020;26(2):1104–1117. doi:10.1177/1460458219868356.
  • Cowan KE, McKean AJ, Gentry MT, et al. Barriers to use of telepsychiatry: clinicians as gatekeepers. inMayo Clin Proc. 2019;94(12):2510–2523. doi:10.1016/j.mayocp.2019.04.018.
  • Wade VA, Eliott JA, Hiller JE. Clinician acceptance is the key factor for sustainable telehealth services. Qual Health Res. 2014;24(5):682–694. doi:10.1177/1049732314528809.
  • Scott SD, Albrecht L, O’Leary K, et al. Systematic review of knowledge translation strategies in the allied health professions. Implementation Sci. 2012;7(1):1–17. doi:10.1186/1748-5908-7-70.
  • Shachak A, Randhawa GK, Crampton NH. Educational approaches for improving physicians’ use of health information technology. Healthc Manage Forum. 2019;32(4):188–191. doi:10.1177/0840470419831717.
  • de Grood C, Raissi A, Kwon Y, et al. Adoption of e-health technology by physicians: a scoping review. J Multidiscip Healthc. 2016;9:335–344. doi:10.2147/JMDH.S103881.

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