DEVELOPMENT AND EVALUATION OF EVIDENCE BASED RISK ASSESSMENT-TOOL (STRATIFY) TO PREDICT WHICH ELDERLY INPATIENTS WILL FALL - CASE-CONTROL AND COHORT STUDIES
D. Oliver et al., DEVELOPMENT AND EVALUATION OF EVIDENCE BASED RISK ASSESSMENT-TOOL (STRATIFY) TO PREDICT WHICH ELDERLY INPATIENTS WILL FALL - CASE-CONTROL AND COHORT STUDIES, BMJ. British medical journal, 315(7115), 1997, pp. 1049-1053
Objectives: To identify clinical characteristics of elderly inpatients
that predict their chance of falling (phase 1) and to use these chara
cteristics to derive a risk assessment tool and to evaluate its power
in predicting falls (phases 2 and 3). Design: Phase 1: a prospective c
ase-control study. Phases 2 and 3: prospective evaluations of the deri
ved risk assessment tool in predicting falls in two cohorts. Setting:
Elderly care units of St Thomas's Hospital (phase 1 and 2) and Kent an
d Canterbury Hospital (phase 3). Subjects: Elderly hospital inpatients
(aged greater than or equal to 65 years): 116 cases and 116 controls
in phase 1, 217 patients in phase 2, and 331 in phase 3. Main outcome
measures: 21 separate clinical characteristics were assessed in phase
1, including the abbreviated mental test score, modified Barthel index
, a transfer and mobility score obtained by combining the transfer and
mobility sections of the Barthel index, and several nursing judgments
. Results:In phase 1 five factors were independently associated with a
higher risk of falls: fall as a presenting complaint (odds ratio 4.64
(95% confidence interval 2.59 to 8.33); a transfer and mobility score
of 3 or 4 (2.10 (1.22 to 3.61)); and primary nurses' judgment that a
patient was agitated (20.9 (9.62 to 45.62)), needed frequent toileting
(2.48 (1.08 to 5.70)), and was visually impaired (3.56 (1.26 to 10.05
)). A risk assessment score (range 0-5) was derived by scoring one poi
nt for each of these five factors. In phases 2 and 3 a risk assessment
score >2 was used to define high risk: the sensitivity and specificit
y of the score to predict falls during the following week was 93% and
88% respectively in phase 2 and 92% and 68% respectively in phase 3. C
onclusion: This simple risk assessment tool predicted with clinically
useful sensitivity and specificity a high percentage of falls among el
derly hospital inpatients.