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Revista Cubana de Información en Ciencias de la Salud (ACIMED)

2017, Number 2

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Revista Cubana de Información en Ciencias de la Salud (ACIMED) 2017; 28 (2)

Use of mobile devices in physiotherapy

Angarita RDC, Castañeda GJN

Language: Spanish
References: 35
Page: 1-13
PDF size: 353.18 Kb.


ABSTRACT

The purpose of this review was to identify the current use of mobile applications in physiotherapy. A comprehensive bibliographic review was conducted in four databases, with no language restrictions, in an observation period extending from the year 2010 to June 2016. A total 46 papers were found which dealt with the use of mobile applications in physiotherapy. Based on their purpose, 8 papers were classified as conceptual-descriptive, 1 was a financial analysis, 14 were assessments, 3 had to do with monitoring, and 20 were about interventions. From the point of view of the use of applications, 6 papers were about healthy habits, 3 were informative, 15 were assessments, 4 were about treatment, and 13 dealt with specific applications. Four review papers were also found. It is concluded that there are various uses for mobile applications in physiotherapy. All in all, applications may serve to broaden access to health services, facilitate health promotion, detect specific deficiencies at an early stage, support examination, evaluate certain variables, such as mobility ranges, and evaluate gait and balance, all of which may facilitate therapeutic actions and optimize physical therapist practice.


REFERENCES

  1. World Health Organization. mHealth: new horizons for health through mobile technologies: Based on the findings of the second global survey on eHealth (Global Observatory for eHealth Series, 2011 [citado 25 de marzo de 2017]3. Disponible en: http://www.who.int/goe/publications/goe_mhealth_web.pdf

  2. Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth research: a decade of evolution. J Med. 2013;15(5):e95.

  3. mHealth App Developer Economics. The state of the art of mHealth app publishing. Berlin, Germany: Research2guidance website. 2014 [citado 21 de agossto de 2015]. Disponible en: http://research2guidance.com/r2g/research2guidance-mHealth-App- Developer-Economics-2014.pdf

  4. Doswell WM, Braxter B, Dabbs AD, Nilsen W, Klem ML. mHealth: Technology for nursing practice, education and research. J Nurs Educ Pract. 2013;3(10):99.

  5. Lee ACW, Harada ND. Telerehabilitation as a Means of Health-Care Delivery. In: Kumar S, Cohn RE, editors. Telerehabilitation. London: Springer London; 2013 [citado 21 de agossto de 2015]. p. 79-89. Disponible en: http://dx.doi.org/10.1007/978-1-4471-4198- 3_6

  6. Dicianno B, Parmanto B, Fairman A. Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation. Phys Ther. 2015;95(3):397-405.

  7. Conroy DE, Yang C, Maher JP. Behavior change techniques in top-ranked mobile apps for physical activity. Am J Prev Med. 2014;46(6):649-52.

  8. Xu W, Liu Y. mHealth apps: a repository and database of mobile health apps. JMIR mHealth and uHealth. 2015 [citado 25 de marzo de 2017];3(1):e28. Disponible en: http://mhealth.jmir.org/2015/1/e28/

  9. Ministerio de Tecnologías de la Información y la comunicación. Colombia: cifras del cuarto trimestre de 2015. Boletín trimestral de las TIC. 2015 [citado 25 de marzo de 2017]. Disponible en: http://colombiatic.mintic.gov.co/602/w3-article-15179.html

  10. Mobile Colombia. Updated Forecasts and Key Growth Trends. Colombia: eMarketer report; 2016 [citado 25 de marzo de 2017]. Disponible en: https://www.emarketer.com/Report/Mobile-Colombia-2016-Updated-Forecasts-Key-Growth- Trends/2001863

  11. Valenzuela JI, Camacho JC, Argüello A, Cendales JG, Fajardo R. Percepciones de los trabajadores del sector salud frente a Internet y las tecnologías móviles en Colombia. Rev Panam Salud Públ. 2009;25(4):367-74.

  12. Institute of Electrical and Electronics Engineers. Applying smartphone apps to drive greater patient engagement in personalized physiotherapy. New York: International Symposium on Medical Measurements and Applications (MeMeA); 2014.

  13. Ganong LH. Integrative reviews of nursing research. Res Nurs Health. 1987;10(1):1-11.

  14. Lee ACW, Harada N. Telehealth as a means of health care delivery for physical therapist practice. Phys Ther. 2012;92(3):463-8.

  15. Sánchez Rodríguez MT, Collado Vázquez S, Martín Casas P, Cano de la Cuerda R. Neurorehabilitation and apps: A systematic review of mobile applications. Neurología. 2015 [17 de diciembre de 2015]. Disponible en: http://dx.doi.org/10.1016/j.nrl.2015.10.005

  16. Bort-Roig J, Gilson N, Puig-Ribera A, Contreras R. Measuring and influencing physical activity with smartphone technology: a systematic review. Sports Med. 2014;44(5):671-86.

  17. Marcano Belisario JS, Huckvale K, Greenfield G, Car J, Gunn LH. Smartphone and tablet self-management apps for asthma. Cochrane Database of Systematic Reviews; 2013, Issue 11. Art. No.: CD010013. DOI: 10.1002/14651858.CD010013.pub2.

  18. Russell T. Goniometry via the internet. Austr J Physioth. 2007;53(2):136.

  19. Balg F, Juteau M, Theoret C, Svotelis A, Grenier G. Validity and Reliability of the iPhone to Measure Rib Hump in Scoliosis. J Pediatr Orthop. 2014;34:774-9.

  20. Smith KL, Kerr DA, Fenner AA, Straker LM. Adolescents just do not know what they want: a qualitative study to describe obese adolescents' experiences of text messaging to support behavior change maintenance postintervention. J Med Internet Res. 2014;16(4):e103.

  21. Turner-McGrievy GM, Beets MW, Moore JB, Kaczynski AT, Barr-Anderson DJ, Tate DF. Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program. J Am Med Inform Assoc. 2013;20(3):513-8.

  22. Gefen R, Dunsky A, Hutzler Y. Balance training using an iPhone application in people with familial dysautonomia: three case reports. Phys Ther. 2015;95(3):380-8.

  23. Cadmus-Bertram LA, Marcus BH, Patterson RE, Parker BA, Morey BL. Randomized trial of a Fitbit-based physical activity intervention for women. Am J Prev Med. 2015;49(3):414- 8.

  24. Direito A, Jiang Y, Whittaker R, Maddison R. Apps for IMproving FITness and increasing physical activity among young people: The AIMFIT pragmatic randomized controlled trial. J Med Internet Res. 2015;17(8):e210.

  25. Glynn LG, Hayes PS, Casey M, Glynn F, Álvarez-Iglesias A, Newell J, et al. Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomized controlled trial. Br J Gen Pract. 2014;64(624):e384-91.

  26. Stinson JN, Lalloo C, Harris L. iCanCope with Pain™: User-centered design of a weband mobile-based self-management program for youth with chronic pain based on identified health care needs. Pain Res Manag. 2014;19:257-65.

  27. Milanese S, Gordon S, Buettner P, Flavell C, Ruston S, Coe D, et al. Reliability and concurrent validity of knee angle measurement: smart phone app versus universal goniometer used by experienced and novice clinicians. Man Ther. 2014;19(6):569-74.

  28. Black J, Gerdtz M, Nicholson P, Crellin D, Browning L, Simpson J. Can simple mobile phone applications provide reliable counts of respiratory rates in sick infants and children? An initial evaluation of three new applications. Int J Nurs Stud. 2015;52(5):963-9.

  29. Kranz M, MöLler A, Hammerla N, Diewald S, PlöTz T, Olivier P. The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices. Perv Mob Comput. 2013;9(2):203-15.

  30. O'Malley G, Dowdall G, Burls A, Perry IJ, Curran N. Exploring the usability of a mobile app for adolescent obesity management. JMIR mHealth and uHealth. 2014;2(2):e29.

  31. Vriend I, Coehoorn I, Verhagen E. Implementation of an app-based neuromuscular training programme to prevent ankle sprains: a process evaluation using the RE-AIM Framework. Br J Sports Med. 2015;49(7):484-8.

  32. Ginis P, Nieuwboer A, Dorfman M, Ferrari A, Gazit E, Canning CG. Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson's disease: A pilot randomized controlled trial. Parkinsonism Relat Disord. 2016;22:28-34.

  33. van Het Reve E, Silveira P, Daniel F, Casati F, de Bruin ED. Tablet-based strengthbalance training to motivate and improve adherence to exercise in independently living older people: part 2 of a phase II preclinical exploratory trial. J Med Internet Res. 2014;16(6):e159.

  34. Postolache G, Silva Gira' ICo P, Postolache O. Applying smartphone apps to drive greater patient engagement in personalized physiotherapy. In: Medical Measurements and Applications (MeMeA); 2014. IEEE International Symposium; 2014:1-6.

  35. Mauro Martín I, González Fernández M, Collado Yurrita L. Aplicaciones móviles en nutrición, dietética y hábitos saludables; análisis y consecuencia de una tendencia al alza. Nutr Hospit. 2014 [citado 6 de enero de 2017];30(1):15-24. Disponible en: http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-16112014008800002




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