Journal of Korean Academy of Nursing Administration · 2011 · 10 citations · 13 references
Effective UseInjury PreventionFall Risk AssessmentRisk AnalysisTraffic InjuryLogistic AnalysisHospital MedicinePrimary CareAdverse EventClinical EpidemiologyInterdisciplinary TeamsPatient-reported OutcomeClinical EvaluationHealth Services ResearchFall RiskPatient FallsReliabilityFall PreventionTrauma Center CareHealth SciencesPost-surgical RecoveryDisease Risk AssessmentRiskOutcomes ResearchClinical Decision SupportQuality ImprovementEpidemiologyOutcome AssessmentNursingContinuous Quality ImprovementPatient SafetyLogistic RegressionTrauma TriageMedicineEmergency Medicine
Purpose: The aims of study were; (1) to evaluate the validity and sensitivity of a fall-risk assessment tool, and (2) to establish continuous quality improvement (CQI) methods to monitor the effective use of the risk assessment tool. Methods: A retrospective case-control cohort design was used. Analysis was conducted for 90 admissions as cases and 3,716 as controls during the 2006 and 2007 calendar years was conducted. Fallers were identified from the hospital’s Accident Reporting System, and non-fallers were selected by randomized selection. Accuracy estimates, sensitivity analysis and logistic regression were used. Results: At the lower cutoff score of one, sensitivity, specificity, and positive and negative predictive values were 82.2%, 19.3%, 0.03%, and 96.9%, respectively. The area under the ROC was 0.60 implying poor prediction. Logistic regression analysis showed that five out of nine constitutional items; age, history of falls, gait problems, and confusion were significantly associated with falls. Based on these results, we suggested a tailored falls CQI process with specific indexes. Conclusion: The fall-risk assessment tool was found to need considerable reviews for its validity and usage problems in practice. It is also necessary to develop protocols for use and identify strategies that reflect changes in patient conditions during hospital stay.
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Practical Statistics for Medical Research.
Sophie Walter, Daniel Altman · Biometrics · 1992 · 11.7K citations
Statistics, Medical Statistic, Population Health Sciences +1
Continuous Improvement as an Ideal in Health Care
Donald M. Berwick · New England Journal of Medicine · 1989 · 1.7K citations
Nursing, Primary Care, Health Policy +15