The Potential of Digital Technology to Improve Self-Care for Musculoskeletal Conditions
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Purpose of Review
Digital technology offers a broad range of tools that can be used to enhance health care. We aim to summarize for the physiatrist use-cases of these tools in musculoskeletal self-care.
Recent advances in and increasing prevalence of wearable sensors and mobile phones make these digital technologies ideal tools to help patients become active participants in their own healthcare. However, given digital health technologies’ fast-paced growth and turnover, implementation and research challenges remain.
Digital technology provides novel methods to objectively evaluate patients and to engage them in active rehabilitation. Further research is needed to guide the adaptation of these emerging tools to enhance self-care of musculoskeletal conditions. Physiatrists, who have extensive experience in non-surgical management of mobility-limiting conditions, are particularly equipped to lead the efforts in the design and validation of these technologies.
KeywordsDigital technology Mobile health Musculoskeletal conditions Non-operative care
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no competing interests.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
- 2.2014. Report [Internet]. BMUS: The burden of musculoskeletal diseases in the United States. [cited 2017 Aug 9]. Available from: http://www.boneandjointburden.org/2.-report
- 3.Health C for D and R. Digital Health [Internet]. [cited 2017 Oct 31]. Available from: https://www.fda.gov/medicaldevices/digitalhealth/
- 6.Zajac FE, Winters JM. Modeling musculoskeletal movement systems: joint and body segmental dynamics, musculoskeletal actuation, and neuromuscular control. In: Multiple Muscle Systems [Internet]. Springer, New York, NY; 1990 [cited 2017 Aug 9]. p. 121–48. Available from: https://link.springer.com/chapter/10.1007/978-1-4613-9030-5_8
- 9.Fitzgerald D, Foody J, Kelly D, Ward T, Markham C, McDonald J, et al. Development of a wearable motion capture suit and virtual reality biofeedback system for the instruction and analysis of sports rehabilitation exercises. In: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2007. p. 4870–4. https://doi.org/10.1109/IEMBS.2007.4353431
- 14.Talbot LA, Gaines JM, Huynh TN, Metter EJ. A home-based pedometer-driven walking program to increase physical activity in older adults with osteoarthritis of the knee: a preliminary study. J Am Geriatr Soc. 2003;51(3):387–92. https://doi.org/10.1046/j.1532-5415.2003.51113.x.CrossRefPubMedGoogle Scholar
- 17.TMT Predictions collection| Deloitte | Technology, Media & Telecommunications [Internet]. Deloitte. [cited 2017 Oct 31]. Available from: https://www2.deloitte.com/global/en/pages/technology-media-and-telecommunications/articles/tmt-predictions-collection.html.
- 18.Chou R, Qaseem A, Snow V, Casey D, Cross JT, Shekelle P, et al. Diagnosis and treatment of low back pain: a joint clinical practice guideline from the American College of Physicians and the American Pain Society. Ann Intern Med. 2007;147(7):478–91. https://doi.org/10.7326/0003-4819-147-7-200710020-00006.CrossRefPubMedGoogle Scholar
- 20.Americans’ Internet Access:<br>2000–2015 [Internet]. Pew Research Center: Internet, Science & Tech. 2015 [cited 2017 Jan 8]. Available from: http://www.pewinternet.org/2015/06/26/americans-internet-access-2000-2015/.
- 22.Greaves CJ, Sheppard KE, Abraham C, Hardeman W, Roden M, Evans PH, et al. Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. BMC Public Health. 2011;11(1):119. https://doi.org/10.1186/1471-2458-11-119.CrossRefPubMedCentralPubMedGoogle Scholar
- 23.Althoff T, Jindal P, Leskovec J. Online actions with offline impact: how online social networks influence online and offline user behavior. ArXiv161203053 Cs [Internet]. 2016. Available from: http://arxiv.org/abs/1612.03053.
- 26.Ayoade M, Baillie L. A novel knee rehabilitation system for the home. In: Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems [Internet]. New York, NY, USA: ACM; 2014. p. 2521–2530. (CHI ‘14). Available from: http://doi.acm.org/10.1145/2556288.2557353.
- 27.Favolla D. Home [Internet]. Muvr. [cited 2017 Nov 14]. Available from: https://getmuvr.com/.
- 31.Bolster NM, Bastawrous A, Giardini ME. Towards a workflow driven design for mHealth devices within temporary eye clinics in low-income settings. Conf Proc Annu Int Conf IEEE Eng Med Biol Soc IEEE Eng Med Biol Soc Annu Conf. 2015;2015:7312–5.Google Scholar
- 32.Fife E, Orjuela J. Mobile phones and user perceptions of privacy and security. 2012 Int Conf Mob Bus [Internet]. 2012. Available from: https://aisel.aisnet.org/icmb2012/23.