Utility of an obstacle-crossing test to classify future fallers and non-fallers at hospital discharge after stroke: A pilot study

• Published in: Gait & posture Vol. 96; no. NA; pp. 179 - 184
• Main Authors: Feld, Jody A., Goode, Adam P., Mercer, Vicki S., Plummer, Prudence
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.07.2022
• Subjects: Aftercare; Fall; Hospitals; Humans; Patient Discharge; Pilot Projects; Postural Balance; Prospective Studies; Rehabilitation; Stroke; Stroke - complications; Stroke - diagnosis; Stroke; Fall; Rehabilitation
• ISSN: 0966-6362; 1879-2219; 1879-2219
• DOI: 10.1016/j.gaitpost.2022.05.037

Existing clinical assessments of balance and functional mobility have poor predictive accuracy for prospectively identifying post-stroke fallers, which may be due to a lack of ecological complexity that is typical of community-based fall incidents. Does an obstacle-crossing test at hospital discharge predict fall status of ambulatory stroke survivors 3 months after discharge? Ambulatory stroke survivors being discharged home completed an obstacle-crossing test at hospital discharge. Falls were tracked prospectively for 3 months after discharge. Logistic regression examined the relationship between obstacle-crossing at discharge (pass/fail) and fall status (faller/non-faller) at 3 months post discharge. 45 participants had discharge obstacle test and 3-month fall data. 21 (47 %) participants experienced at least one fall during follow-up, with 52 % of the falls occurring within the first month after discharge. Of the 21 fallers, 14 failed the obstacle-crossing test (67 % sensitivity). Among the 24 non-fallers, 20 passed the obstacle-crossing test (83 % specificity). The area under the receiver operating characteristic curve was 0.75 (95 % CI 0.60–0.90). Individuals who failed the obstacle-crossing test were 10.00 (95 % CI: 2.45–40.78) times more likely to fall in the first 3 months after discharge. The unadjusted logistic regression model correctly classified 76 % of the subjects. After adjusting for age, sex, days post stroke, and post-stroke disability, the odds ratio remained significant at 6.93 (95 % CI: 1.01–47.52) and correctly classified 79.5% of the participants. The obstacle-crossing test may be a useful discharge assessment to identify ambulatory stroke survivors being discharged home who are likely to fall in the first 3 months post discharge. Modifications to improve the obstacle-crossing test sensitivity should be explored further. •Failure to step over an obstacle appears strongly related to future fall status.•Realistic and challenging mobility tasks may improve post-stroke fall prediction.•Post-stroke fallers have greater lower extremity impairments at hospital discharge.