4.1 Article

Delirium markers in older fallers: a case-control study

Journal

CLINICAL INTERVENTIONS IN AGING
Volume 9, Issue -, Pages 2013-2018

Publisher

DOVE MEDICAL PRESS LTD
DOI: 10.2147/CIA.S71033

Keywords

geriatrics; patient centered outcomes research; patient safety

Funding

  1. Department of Veterans Affairs, Veterans Health Administration, Office of Research and Development
  2. VA Delirium Patient Safety Center of Inquiry and T21 Alternative to Non-institutional Long Term Care award
  3. VA Career Development Award

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Background: When a hospitalized older patient falls or develops delirium, there are significant consequences for the patient and the health care system. Assessments of inattention and altered consciousness, markers for delirium, were analyzed to determine if they were also associated with falls. Methods: This retrospective case-control study from a regional tertiary Veterans Affairs referral center identified falls and delirium risk factors from quality databases from 2010 to 2012. Older fallers with complete delirium risk assessments prior to falling were identified. As a control, non-fallers were matched at a 3:1 ratio. Admission risk factors that were compared in fallers and non-fallers included altered consciousness, cognitive performance, attention, sensory deficits, and dehydration. Odds ratio (OR) was reported (95% confidence interval [CI]). Results: After identifying 67 fallers, the control population (n=201) was matched on age (74.4 +/- 9.8 years) and ward (83.6% medical; 16.4% intensive care unit). Inattention as assessed by the Months of the Year Backward test was more common in fallers (67.2% versus 50.8%, OR=2.0; 95% CI: 1.1-3.7). Fallers tended to have altered consciousness prior to falling (28.4% versus 12.4%, OR=2.8; 95% CI: 1.3-5.8). Conclusion: In this case-control study, alterations in consciousness and inattention, assessed prior to falling, were more common in patients who fell. Brief assessments of consciousness and attention should be considered for inclusion in fall prediction.

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