CHARACTERIZATION OF ADVERSE EVENTS IN THE SERVICE OF PLASTIC AND RECONSTRUCTIVE SURGERY IN HOSPITAL INSTITUTIONS OF BARRANQUILLA, 2016-2017
Author(s)
Beltran-Venegas T1, Rueda Olivella A2, Jervis-Jalabe DS3, Alvis Guzman N4, Orozco Africano J5, Ortiz Ibañez L5, Lugo-Perez RL6
1Corporacion Universidad de la Costa, Barraquilla, Colombia, 2Corporacion Universidad de la Costa, Barranquilla, ATL, Colombia, 3ALZAK Foundation- Universidad de la Costa, Barranquilla, Colombia, 4Universidad de Cartagena - ALZAK Foundation, Cartagena, Colombia, 5ALZAK Foundation- Universidad De La Costa, Barranquilla, Colombia, 6Corporacion Universidad de la Costa, Barranquilla, Colombia
OBJECTIVES To characterize the adverse events in the plastic and reconstructive surgery service in health institutions in Barranquilla, using the IHI's Global Trigger Tool (GTT) METHODS Twenty records were randomly selected for each month and Hospital, according to the GTT methodology, from the total clinical records of patients who underwent any plastic and/or reconstructive surgery in any of four (4) selected Hospitals in Barranquilla, Colombia, between January 1, 2016 and December 31, 2017. The records obtained were systematized using the GTT methodology to automatically detect triggers that would reveal Adverse Events (AEs). Trigger records were reviewed by a physician to determine the presence of AEs and to classify the severity of the damage, rated according to the National Coordinating Council for the Reporting and Prevention of Medication Errors (NCC MERP) on a scale from E to I. The identified AEs were characterized. Univariate and multivariate risk analyses related to age, sex and type of surgery were also performed. RESULTS A total of 439 triggers were detected in 437 patients, among the 1.920 medical records reviewed. 64 AE's were detected in the same number of patients, resulting in 33,4 AE's / 1.000 records. The main AE's identified were surgical complications (26,6%), hematomas (20,3%) and post-surgical bleeding (17,2%). The relative risk was higher for males and the Plastic/Reconstructive Surgery (PRS) group. Univariate risk analysis resulted in a risk close to 2 times in patients under 45 years, 2,5 times in men and almost 4 times in those undergoing PRS. Logistic regression analysis showed a statistically significant association for the type of procedure only. CONCLUSIONS Institutions should perform screening similar to that developed during this study using computer tools that could detect triggers that lead to the discovery of AEs. Complementing electronic clinical records with fields that automatically detect such triggers would facilitate their study and understanding.
Conference/Value in Health Info
2020-05, ISPOR 2020, Orlando, FL, USA
Value in Health, Volume 23, Issue 5, S1 (May 2020)
Code
PSU19
Topic
Health Service Delivery & Process of Care
Topic Subcategory
Quality of Care Measurement
Disease
Injury and Trauma, Surgery
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