OBJECTIVES: To assess the predictive value of the St. Thomas's Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY) instrument, a simple fall-risk assessment tool, when administered at a patient's hospital bedside by nurses. DESIGN: Prospective multicenter study. SETTING: Six Belgian hospitals. PARTICIPANTS: A total of 2,568 patients (mean age+/-standard deviation 67.2+/-18.4; 55.3% female) on four surgical (n=875, 34.1%), eight geriatric (n=687, 26.8%), and four general medical wards (n=1,006, 39.2%) were included in this study upon hospital admission. All patients were hospitalized for at least 48 hours. MEASUREMENTS: Nurses completed the STRATIFY within 24 hours after admission of the patient. Falls were documented on a standardized incident report form. RESULTS: The number of fallers was 136 (5.3%), accounting for 190 falls and an overall rate of 7.3 falls per 1,000 patient days for all hospitals. The STRATIFY showed good sensitivity (> or = 84%) and high negative predictive value (> or = 99%) for the total sample, for patients admitted to general medical and surgical wards, and for patients younger than 75, although it showed moderate (69%) to low (52%) sensitivity and high false-negative rates (31-48%) for patients admitted to geriatric wards and for patients aged 75 and older. CONCLUSION: Although the STRATIFY satisfactorily predicted the fall risk of patients admitted to general medical and surgical wards and patients younger than 75, it failed to predict the fall risk of patients admitted to geriatric wards and patients aged 75 and older (particularly those aged 75-84).
OBJECTIVES: To assess the predictive value of the St. Thomas's Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY) instrument, a simple fall-risk assessment tool, when administered at a patient's hospital bedside by nurses. DESIGN: Prospective multicenter study. SETTING: Six Belgian hospitals. PARTICIPANTS: A total of 2,568 patients (mean age+/-standard deviation 67.2+/-18.4; 55.3% female) on four surgical (n=875, 34.1%), eight geriatric (n=687, 26.8%), and four general medical wards (n=1,006, 39.2%) were included in this study upon hospital admission. All patients were hospitalized for at least 48 hours. MEASUREMENTS: Nurses completed the STRATIFY within 24 hours after admission of the patient. Falls were documented on a standardized incident report form. RESULTS: The number of fallers was 136 (5.3%), accounting for 190 falls and an overall rate of 7.3 falls per 1,000 patient days for all hospitals. The STRATIFY showed good sensitivity (> or = 84%) and high negative predictive value (> or = 99%) for the total sample, for patients admitted to general medical and surgical wards, and for patients younger than 75, although it showed moderate (69%) to low (52%) sensitivity and high false-negative rates (31-48%) for patients admitted to geriatric wards and for patients aged 75 and older. CONCLUSION: Although the STRATIFY satisfactorily predicted the fall risk of patients admitted to general medical and surgical wards and patients younger than 75, it failed to predict the fall risk of patients admitted to geriatric wards and patients aged 75 and older (particularly those aged 75-84).
Authors: N I H Wellens; M Deschodt; J Flamaing; P Moons; S Boonen; X Boman; C Gosset; J Petermans; K Milisen Journal: J Nutr Health Aging Date: 2011-08 Impact factor: 4.075
Authors: Christopher R Carpenter; Michael S Avidan; Tanya Wildes; Susan Stark; Susan A Fowler; Alexander X Lo Journal: Acad Emerg Med Date: 2014-10-07 Impact factor: 3.451
Authors: Marta Aranda-Gallardo; Jose M Morales-Asencio; Jose C Canca-Sanchez; Silvia Barrero-Sojo; Claudia Perez-Jimenez; Angeles Morales-Fernandez; Margarita Enriquez de Luna-Rodriguez; Ana B Moya-Suarez; Ana M Mora-Banderas Journal: BMC Health Serv Res Date: 2013-04-02 Impact factor: 2.655
Authors: J-J Body; P Bergmann; S Boonen; Y Boutsen; O Bruyere; J-P Devogelaer; S Goemaere; N Hollevoet; J-M Kaufman; K Milisen; S Rozenberg; J-Y Reginster Journal: Osteoporos Int Date: 2011-03-01 Impact factor: 4.507
Authors: Betsie G I van Gaal; Lisette Schoonhoven; Marlies E J L Hulscher; Joke A J Mintjes; George F Borm; Raymond T C M Koopmans; Theo van Achterberg Journal: BMC Health Serv Res Date: 2009-04-01 Impact factor: 2.655