A risk assessment score predicted which elderly patients would fall during a hospital stay
Question Can a risk assessment tool that uses information on risk factors easily collected by nurses in routine care predict which elderly hospital patients will fall?
A case control study to develop the tool and 2 cohort studies to validate it.
4 wards for elderly patients in a teaching hospital (development and local validation) and 2 acute and 4 rehabilitation wards of a general hospital (remote validation) in the UK.
For development of the tool, 116 patients (mean age 85 y) who had fallen (an incident in which a patient suddenly and involuntarily came to rest on the ground or surface lower than their original station) were matched with the patient in the next bed who had not fallen. Local validation was done with 217 patients (395 assessments and 71 falls) and remote validation was done with 331 patients (446 assessments …