Journal of Rehabilitation Research & Development (JRRD)

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Sociotechnical probabilistic risk modeling to predict injurious falls in community living centers

Gail Powell-Cope, PhD, ARNP, FAAN, et al.

Researchers used a sophisticated engineering risk modeling technology called sociotechnical probabilistic risk assessment to model serious injurious fall risks in nursing home patients. The injurious fallrisk models included several staff-identified high fall-risk patient transfer situations. Fall-risk clinical situations involved patient transfers, wheelchairs, alarm technologies, and patient and staff behaviors. The analyses showed that a 26 percent reduction in injurious falls could be achieved by simultaneously addressing staff response time to alarms identifying unassisted patient transfer attempts, installing wheelchair brake locks, improving wheelchair maintenance, and enhancing proper patient transfer techniques.
http://dx.doi.org/10.1682/JRRD.2015.08.0165

Volume 53 Number 6, 2016
   Pages 881 — 892


View HTML ¦ View PDF ¦ Contents Vol. 53, No. 6
This article and any supplementary material should be cited as follows:
Powell-Cope G???, Campbell R, Hahm B, Bulat T, Westphal J. Sociotechnical probabilistic risk modeling to predict injurious falls in community living centers. J Rehabil Res Dev. 2016;53(6):881–92.
http://dx.doi.org/10.1682/JRRD.2015.08.0165
ORCID: Gail Powell-Cope, PhD, ARNP, FAAN: 0000-0002-4608-0128; Robert Campbell, PhD, JD: 0000-0002-6269-9895; Bridget Hahm, MA, MPH: 0000-0001-7454-4471; Tatjana Bulat, MD: 0000-0002-4380-942X; John Westphal, BS: 0000-0001-6330-4712
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