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Predictive Ability of a Serious Game to Identify Emergency Patients With Unrecognized Delirium
Author(s) -
Lee Jacques S.,
Tong Tiffany,
Tierney Mary C.,
Kiss Alex,
Chignell Mark
Publication year - 2019
Publication title -
journal of the american geriatrics society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.992
H-Index - 232
eISSN - 1532-5415
pISSN - 0002-8614
DOI - 10.1111/jgs.16095
Subject(s) - delirium , medicine , emergency department , observational study , confidence interval , emergency medicine , prospective cohort study , confusion , physical therapy , pediatrics , intensive care medicine , psychiatry , psychology , psychoanalysis
OBJECTIVES Recognition of delirium in the emergency department (ED) is poor. Our objectives were to assess: (1) the diagnostic accuracy of the Pr edicting E mergency department D elirium with an I nteractive C omputer T ablet (PrEDICT) “serious game” to identify older ED patients with delirium compared to clinical recognition and (2) the feasibility of the PrEDICT application compared to existing tests of attention. DESIGN Prospective observational study. SETTING ED of a Canadian tertiary care center. PARTICIPANTS We included ED patients, aged 70 years and older, with a minimum 4‐hour stay. We excluded anyone with critical illness, communication barriers, and visual impairment or those unable to use a computer tablet. None had prevalent delirium by ED clinicians' routine clinical assessment. MEASUREMENTS Participants were asked to tap targets on a tablet at four difficulty levels. Time and accuracy were automatically recorded. Other measures included the Confusion Assessment Method, the Delirium Severity Index, the Digit Vigilance Test (DVT), and the Choice Reaction Test (CRT). RESULTS We enrolled 203 patients. Their average age was 80.6 years, 49.8% were female, and their average ED length of stay was 15.9 hours. Sixteen subjects had clinically unrecognized delirium, and 14 of them completed the PrEDICT game (87.5%). We developed a threshold score with 100% sensitivity (95% confidence interval [CI] = 76.8%‐100.0%) and 59.7% specificity (95% CI = 52.3%‐66.6%) to identify patients with clinically unrecognized delirium. The area under the curve was 0.86 (95% CI = 0.77‐0.94). Completion rates were 196/203 (96.6%) for the PrEDICT serious game compared to 128/203 (63.1%) for the CRT and 51/203 (25.1%) for the DVT. CONCLUSION Older ED patients were able to use our serious game, including 87.5% of those with clinically unrecognized delirium. The PrEDICT application has potential to act as a sensitive screening tool to identify older ED patients with clinically unrecognized delirium. J Am Geriatr Soc 67:2370–2375, 2019