Author/Authors :
DAVID L. NEUMANN1، نويسنده , , 3، نويسنده ,
Abstract :
Objectives: In-hospital falls in older patients are frequent, but the identification of patients at risk of
falling is challenging. aim of this study was to improve the identification of high-risk patients. therefore, a
simplified screening-tool was developed, validated, and compared to the StratIfY predictive accuracy.
Design: retrospective analysis of 4,735 patients; evaluation of predictive accuracy of StratIfY and its single
risk factors, as well as age, gender and psychotropic medication; splitting the dataset into a learning and a
validation sample for modelling fall-risk screening and independent, temporal validation. Setting: Geriatric clinic
at an academic teaching hospital in Hamburg, Germany. Participants: 4,735 hospitalised patients ≥65 years.
Measurements: Sensitivity, specificity, positive and negative predictive value, odds ratios, Youden-Index and
the rates of falls and fallers were calculated. Results: there were 10.7% fallers, and the fall rate was 7.9/1,000
hospital days. In the learning sample, mental alteration (or 2.9), fall history (or 2.1), and insecure mobility
(Barthel-Index items ‘transfer’ + ‘walking’ score = 5, 10 or 15) (or 2.3) had the most strongest association to
falls. the LuCaS fall-risk Screening uses these risk factors, and patients with ≥2 risk factors contributed to the
high-risk group (30.9%). In the validation sample, StratIfY SeNS was 56.8, SPeC 59.6, PPV 13.5 and NPV
92.6 vs. LuCaS fall-risk Screening was SeNS 46.0, SPeC 71.1, PPV 14.9 and NPV 92.3. Conclusions: Both
the StratIfY and the LuCaS fall-risk Screening showed comparable results in defining a high-risk group.
Impaired mobility and cognitive status were closely associated to falls. the results do underscore the importance
of functional status as essential fall-risk factor in older hospitalised patients
Keywords :
Older patients , in-hospital falls , risk screening , functionality