Scientific Papers

App-based telerehabilitation program for older adults on waiting list for physiotherapy after hospital discharge: a feasibility pragmatic randomized trial | Pilot and Feasibility Studies


  • Krumholz HM. Post-hospital syndrome-an acquired, transient condition of generalized risk. N Engl J Med. 2013;368:100–2.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Falvey JR, Mangione KK, Stevens-Lapsley JE. Rethinking hospital-associated deconditioning: proposed paradigm shift. Phys Ther. 2015;95:1307–15.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Dharmarajan K, Hsieh AF, Lin Z, et al. Diagnoses and timing of 30-day readmissions after hospitalization for heart failure, acute myocardial infarction, or pneumonia. JAMA. 2013;309:355–63.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Brownlee SA, Blackwell RH, Blanco BA, et al. Impact of post-hospital syndrome on outcomes following elective, ambulatory surgery. Ann Surg. 2017;266:274–9.

    Article 
    PubMed 

    Google Scholar
     

  • Covinsky KE, Pierluissi E, Johnston CB. Hospitalization-associated disability: “She was probably able to ambulate, but I’m not sure.” JAMA. 2011;306:1782–93.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Luk JK, Chan CF. Rehabilitation outcomes of older patients at 6 months follow-up after discharged from a geriatric day hospital (GDH). Arch Gerontol Geriatr. 2011;52:327–30.

    Article 
    PubMed 

    Google Scholar
     

  • Huang HT, Chang CM, Liu LF, et al. Trajectories and predictors of functional decline of hospitalised older patients. J Clin Nurs. 2013;22:1322–31.

    Article 
    PubMed 

    Google Scholar
     

  • Ojha HA, Wyrsta NJ, Davenport TE, et al. Timing of physical therapy initiation for nonsurgical management of musculoskeletal disorders and effects on patient outcomes: a systematic review. J Orthop Sports Phys Ther. 2016;46:56–70.

    Article 
    PubMed 

    Google Scholar
     

  • Deslauriers S, Déry J, Proulx K, et al. Effects of waiting for outpatient physiotherapy services in persons with musculoskeletal disorders: a systematic review. Disabil Rehabil. 2021;43:611–20.

    Article 
    PubMed 

    Google Scholar
     

  • Young JL, Snodgrass SJ, Cleland JA, et al. Timing of physical therapy for individuals with patellofemoral pain and the influence on healthcare use, costs and recurrence rates: an observational study. BMC Health Serv Res. 2021;21(1):751.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Negrini S, Kiekens C, Bernetti A, et al. Telemedicine from research to practice during the pandemic. “Instant paper from the field” on rehabilitation answers to the COVID-19 emergency. Eur J Phys Rehabil Med. 2020;56:327–30.

    Article 
    PubMed 

    Google Scholar
     

  • Turolla A, Rossettini G, Viceconti A, et al. Musculoskeletal physical therapy during the COVID-19 pandemic: is telerehabilitation the answer? Phys Ther. 2020;100:1260–4.

    Article 
    PubMed 

    Google Scholar
     

  • Van Egmond MA, Van Der SM, Vredeveld T, et al. Effectiveness of physiotherapy with telerehabilitation in surgical patients: a systematic review and meta-analysis. Physiotherapy. 2018;104:277–98.

    Article 
    PubMed 

    Google Scholar
     

  • Wang X, Hunter DJ, Vesentini G, et al. Technology-assisted rehabilitation following total knee or hip replacement for people with osteoarthritis: a systematic review and meta-analysis. BMC Musculoskelet Disord. 2019;20:506.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Dias JF, Oliveira VC, Borges PRT, et al. Effectiveness of exercises by telerehabilitation on pain, physical function and quality of life in people with physical disabilities: a systematic review of randomised controlled trials with GRADE recommendations. Br J Sports Med. 2021;55:155–62.

    Article 
    PubMed 

    Google Scholar
     

  • Seron P, Oliveros MJ, Gutierrez-Arias R, et al. Effectiveness of telerehabilitation in physical therapy: a rapid overview. Phys Ther. 2021;101:pzab053.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Moffet H, Tousignant M, Nadeau S, et al. In-home telerehabilitation compared with face-to-face rehabilitation after total knee arthroplasty: a noninferiority randomized controlled trial. J Bone Joint Surg. 2015;97:1129–34.

    Article 
    PubMed 

    Google Scholar
     

  • Aguado HJ, Ventura-Wichner PS, Perez-Hickman L, et al. Patient satisfaction using a home-based rehabilitation protocol for the non-surgical treatment of proximal humeral fractures: a prospective longitudinal cohort study. Geriatr Orthop Surg Rehabil. 2021;12:1–8.

    Article 

    Google Scholar
     

  • Özden F, Sarı Z, Karaman ÖN, et al. The effect of video exercise-based telerehabilitation on clinical outcomes, expectation, satisfaction, and motivation in patients with chronic low back pain. Ir J Med Sci. 2022;191(3):1229–39.

    Article 
    PubMed 

    Google Scholar
     

  • Kairy D, Lehoux P, Vincent C, et al. A systematic review of clinical outcomes, clinical process, healthcare utilization and costs associated with telerehabilitation. Disabil Rehabil. 2009;31:427–47.

    Article 
    PubMed 

    Google Scholar
     

  • Fusco F, Turchetti G. Telerehabilitation after total knee replacement in Italy: cost-effectiveness and cost-utility analysis of a mixed telerehabilitation standard rehabilitation programme compared with usual care. BMJ Open. 2016;6:e009964.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • McKeon JF, Alvarez PM, Vajapey AS, et al. Expanding role of technology in rehabilitation after lower-extremity joint replacement: a systematic review. JBJS Rev. 2021;9:e21.00016.

    Article 

    Google Scholar
     

  • Statista. Global digital population as of January; 2021. http://www.statista.com/statistics/617136/digital-population-worldwide/. Accessed 6 May 2022.

  • Datareportal. Digital around the word, 2022. http://www.datareportal.com/global-digital-overview#:~:text=Most%20internet%20users%20(90.9%20percent,some%20of%20their%20connected%20activities . Accessed 6 May 2022.

  • Chen T, Or CK, Chen J. Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: a systematic review and meta-analysis of randomized controlled trials. J Am Med Inform Assoc. 2021;28:414–23.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Ramey L, Osborne C, Kasitinon D, et al. Apps and mobile health technology in rehabilitation: the good, the bad, and the unknown. Phys Med Rehabil Clin N Am. 2019;30:485–97.

    Article 
    PubMed 

    Google Scholar
     

  • Paganini S, Terhorst Y, Sander LB, et al. Quality of physical activity apps: systematic search in app stores and content analysis. JMIR Mhealth Uhealth. 2021;9:e22587.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Reis FJJ, Fernandes LG, Saragiotto BT. Telehealth in low- and middle-income countries: bridging the gap or exposing health disparities? Health Policy Technol. 2021;10:100577.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Borges PRT, Resende RA, Dias JF, et al. Telerehabilitation program for older adults on a waiting list for physical therapy after hospital discharge: study protocol for a pragmatic randomized trial protocol. Trials. 2021;22:445.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Instituto Brasileiro de Geografia e Estatística (IBGE). [National Survey by Household Sample: summary of indicators: 2015]. Rio de Janeiro (RJ): IBGE; 2015. http://www.biblioteca.ibge.gov.br/visualizacao/livros/liv98887.pdf. Portuguese. Accessed 26 May 2022.

  • Instituto Brasileiro de Geografia e Estatística (IBGE). [Internet and television access and possession of a cell phone for personal use: 2016]. Rio de Janeiro (RJ): IBGE; 2016. http://www.biblioteca.ibge.gov.br/visualizacao/livros/liv101543.pdf. Portuguese. Accessed 26 May 2022.

  • 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.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Charlesworth G, Burnell K, Hoe J, et al. Acceptance checklist for clinical effectiveness pilot trials: a systematic approach. BMC Med Res Methodol. 2013;13:78.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Eldridge SM, Chan CL, Campbell MJ, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. Pilot Feasibility Stud. 2016;2:64.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bertolucci PHF, Brucki SMD, Campacci SR, et al. The Mini-Mental State Examination in an outpatient population: influence of literacy. Arq Neuropsiquiatr. 1994;52:1–7.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Saghaei M. Random allocation software for parallel group randomized trials. BMC Med Res Methodol. 2004;9:4–26.


    Google Scholar
     

  • World Health Organization (WHO). WHO guidelines on physical activity and sedentary behaviour: at a glance; 2020. http://www.apps.who.int/iris/handle/10665/337001. Accessed 26 May 2022.

  • Podsiadlo D, Richardson S. The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991;39:142–8.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Wright AA, Cook CE, Baxter GD, et al. A comparison of 3 methodological approaches to defining major clinically important improvement of 4 performance measures in patients with hip osteoarthritis. J Orthop Sports Phys Ther. 2011;41:319–27.

    Article 
    PubMed 

    Google Scholar
     

  • Gautschi OP, Stienen MN, Corniola MV, et al. Assessment of the minimum clinically important difference in the timed up and go test after surgery for lumbar degenerative disc disease. Neurosurgery. 2017;80:380–5.

    Article 
    PubMed 

    Google Scholar
     

  • Rikli RE, Jones CJ. Development and validation of a functional fitness test for community-residing older adults. J Aging Phys Act. 1999;7(2):129–61.

    Article 

    Google Scholar
     

  • Weiner DK, Peterson BL, Logue P, Keefe FJ. Predictors of pain self-report in nursing home residents. Aging (Milano). 1998;10(5):411–20.

    CAS 
    PubMed 

    Google Scholar
     

  • Ware JE, Snow KK, Kosinski M, et al. SF-36 health survey: manual and interpretation guide. Boston (MA): Health Institute; 1993.


    Google Scholar
     

  • Buchholz I, Janssen MF, Kohlmann T, Feng YS. A systematic review of studies comparing the measurement properties of the three-level and five-level versions of the EQ-5D. Pharmacoeconomics. 2018;36(6):645–61.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Eyssen IC, Beelen A, Dedding C, Cardol M, Dekker J. The reproducibility of the Canadian Occupational Performance Measure. Clin Rehabil. 2005;19(8):888–94.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Schulz KF, Grimes DA. Sample size slippages in randomised trials: exclusions and the lost and wayward. Lancet. 2002;359(9308):781–5.

    Article 
    PubMed 

    Google Scholar
     

  • World Health Organization. (WHO). World alliance for patient safety: WHO draft guidelines for adverse event reporting and learning systems: from information to action. 2005. https://apps.who.int/iris/handle/10665/69797. Accessed 20 Jun 2023.

  • Chun YJ, Patterson PE. A usability gap between older adults and younger adults on interface design of an Internet-based telemedicine system. Work. 2012;41(Suppl 1):349–52.

    Article 
    PubMed 

    Google Scholar
     

  • Cocks K, Torgerson DJ. Sample size calculations for pilot randomized trials: a confidence interval approach. J Clin Epidemiol. 2013;66:197–201.

    Article 
    PubMed 

    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;25:1057–73.

    Article 
    PubMed 

    Google Scholar
     

  • Pandya A, Lodha P. Social connectedness, excessive screen time during COVID-19 and mental health: a review of current evidence. Front Hum Dyn. 2021;3:684137.

    Article 

    Google Scholar
     

  • Lai J, Widmar NO. Revisiting the digital divide in the COVID-19 era. Appl Econ Perspect Policy. 2020;43:458–64.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Dahiya S, Rokanas LN, Singh S, et al. Lessons from internet use and performance during Covid-19. J Inf Policy. 2021;11:202–21.


    Google Scholar
     

  • Picorelli AM, Pereira LS, Pereira DS, et al. Adherence to exercise programs for older people is influenced by program characteristics and personal factors: a systematic review. J Physiother. 2014;60:151–6.

    Article 
    PubMed 

    Google Scholar
     

  • Whyte J, Dijkers MP, Hart T, et al. The importance of voluntary behavior in rehabilitation treatment and outcomes. Arch Phys Med Rehabil. 2019;100:156–63.

    Article 
    PubMed 

    Google Scholar
     

  • Lewis M, Bromley K, Sutton CJ, et al. Determining sample size for progression criteria for pragmatic pilot RCTs: the hypothesis test strikes back! Pilot Feasibility Stud. 2021;7(1):40.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     



  • Source link