Georgia Tech logo, followed by TechSage logo, followed by Illinois logo

D3.1 Steady Wheels

Principal Investigator: 
Jacob J. Sosnoff, PhD
Mikaela L. Frechette, Libak Abou, Laura Rice, Ph.D., & Jason Fanning, Ph.D.
National Multiple Sclerosis Society, Post-Polio Health International, Illinois Community Health and Aging Collaborative

Although individuals with long-term mobility disabilities are at increased risk of falls (Matsuda, Verrall, Finlayson, Molton, & Jensen, 2015), recommended fall risk screening tools are typically designed for individuals experiencing normative aging (Ambrose, Cruz, & Paul, 2015). Consequently, most adults with mobility disabilities who use wheelchairs do not undergo comprehensive falls risk screening or receive targeted prevention strategies and remain at high risk of falls and loss of independence (Rice, Ousley, & Sosnoff, 2015). In response to the need for valid comprehensive measures of fall risk among this population, this project will examine the validity of smart-phone based postural control assessments in adults with mobility disabilities who use wheelchairs. 

 Foot rest on power wheelchair    Steady Wheels logo that shows cartoons of wheelchair users holding smartphones   Male in power wheelchair using smartphone

Related Publications:

Frechette M, Meyer B, Tulipani L, Gurchiek RD, McGinnis RS, Sosnoff JJ. (2019). Next steps in wearable technology and community ambulation in multiple sclerosis. Current Neurology and Neuroscience Reports.

Rice, L. M., Ousley C. O., Sosnoff J. J. (2014). A Systematic Review of Risk Factors Associated with Accidental Falls, Outcome Measures and Interventions to Manage Fall Risk in Non-Ambulatory Adults. Disability and Rehabilitation

Roeing, K. L., Hsieh, K. L.,& Sosnoff, J. J. (2017). A systematic review of balance and fall risk assessments with mobile phone technology. Archives of Gerontology and Geriatrics. 73: 222-226. 
Hsieh, K. L., Roach, K. L., Wajda, D. A., & Sosnoff, J. J. (2019). Smartphone Technology Can Measure Postural Stability and Discriminate Fall Risk in Older Adults. Gait Posture, 67, 160-165. 10.1016/j.gaitpost.2018.10.005
Hsieh K.L., Fanning J.T., Rogers W.A., & Sosnoff J.J. (2018). A Fall Risk mHealth App for Older Adults: Development and Usability Study. Journal of Medical Internet Research: Aging. 1(2):e11569 10.2196/11569
Hsieh K.L., Fanning J.T., Rogers W.A., & Sosnoff J.J.  (in press). Smartphone Fall Risk Application is Valid and Reliable in Older Adults during Real-World Testing. Gerontechnology. 16(2). 
Sun, R. & Sosnoff, J. J. (2018). Novel sensing technology in fall risk assessment in older adults: A systematic review. BMC Geriatrics. 18:14. DOI 10.1186/s12877-018-0706-6
Sun R., McGinnis R., & Sosnoff, J. J. (2018). Novel Technology for Mobility and Balance Tracking in Patients with Multiple Sclerosis: A Systematic Review. Expert Reviews of Neurotherapeutics. 18(11), 887-898. 10.1080/14737175.2018.1533816

Project Status: 

Our team now has a working prototype of the app suitable for non-ambulatory individuals. We are preparing to begin user testing of the app.