Akademik Veri Yönetim Sistemi
MENSEC V, Budapest, Macaristan, 10 - 12 Eylül 2019, ss.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
SUMMARY
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