MENSEC V, Budapest, Hungary, 10 - 12 September 2019, pp.117
ROOT CAUSE ANALYSIS OF FALLINGS IN A UNIVERSITY HOSPITAL
Mrs.Tülin Filik, Erciyes University
Dr.Arda Borlu, Erciyes University
Dr.Demet Ünalan, Erciyes University
Objective: Falling events at hospital were frequently met risks affecting the treatment of patients negatively. This study was aimed to determine the root cause analysis of fallings in Erciyes University Health Application and Research Center (EUSUAM).
Materials and methods: The universe of this descriptive study included falled patients in EUSUAM between October 2018 and March 2019 (N:79). Data of the study have been collected by the “Evaluation Form of the Falled Patient'' created by researchers. Itaki scale in adults and Harizmi scale in children were used to, evaluate the falling risk of the patients. Number, percent distribution and mean distributions were used in the analysis.
Findings: Fall-down rate of the patients for this period was calculated as 0.0824. The mean age of falled patients was 66.5 years, 54.4% of them were male and 64.6% of them stayed with a companion. The rate of risky considered patients was 89.9% at the admission to hospital and 86.1% at the last risk assessment before falling. Rate of the patients with a chronic disease was 79.7% and 87.3% of them was using medication regularly. Clover figure has been used for 82.3% and restriction application has been performed for 94.9% of falled patients. Most of the falled patients (55.7%) were aged 65 and over, 38.5% of the fall-down events were occurred between 24.00-07.59 hours, 53.9% of them occurred in the first four days of the hospitaliation, 43.0% of them occurred in the patient room.
Conclusion: It is noteworthy that fall-down events occurred most frequently in elderly patients, in the first hospitalized days, and during evening-night hours. Elderly patients should be followed up more carefully in terms of falling down. Good introduction of the environment at the admission to hospital will be beneficial in terms of reducing the fall down events.
Keywords: Patient safety, root analysis, patient fall-down events
Presentation Type: Oral Presentation
Presentation Language: Turkish