OBJECTIVES: To evaluate and characterize the Global Trigger Tool's (GTT's) utility in a pediatric population; to measure the rate of harm at our institution and compare it with previously established trigger tools and benchmark rates; and to describe the distribution of harm of the detected events. METHODS: Per the GTT methodology, 240 random inpatient charts were retrospectively reviewed over a 12-month pilot period for the presence of 53 predefined safety triggers. When triggers were detected, the reviewers investigated the chart more thoroughly to decide whether an adverse event occurred. Agreement with a physician reviewer was then reached, and a level of harm was assigned. RESULTS: A total of 404 triggers were detected (1.7 triggers per patient), and 88 adverse events were identified. Rates of 36.7 adverse events per 100 admissions and 76.3 adverse events per 1000 patient-days were calculated. Sixty-two patients (25.8%) had at least 1 adverse event during their hospitalization, and 18 (7.5%) had >1 event identified. Three-quarters of the events were category E (temporary harm). Two events required intervention to sustain life (category H). Two of the 6 trigger modules identified 95% of the adverse events. CONCLUSIONS: The GTT demonstrated utility in the pediatric inpatient setting. With the use of the trigger tool, we identified a rate of harm 2 to 3 times higher than previously published pediatric rates. Modifications to the trigger tool to address pediatric-specific issues could increase the test characteristics of the tool.
OBJECTIVES: To evaluate and characterize the Global Trigger Tool's (GTT's) utility in a pediatric population; to measure the rate of harm at our institution and compare it with previously established trigger tools and benchmark rates; and to describe the distribution of harm of the detected events. METHODS: Per the GTT methodology, 240 random inpatient charts were retrospectively reviewed over a 12-month pilot period for the presence of 53 predefined safety triggers. When triggers were detected, the reviewers investigated the chart more thoroughly to decide whether an adverse event occurred. Agreement with a physician reviewer was then reached, and a level of harm was assigned. RESULTS: A total of 404 triggers were detected (1.7 triggers per patient), and 88 adverse events were identified. Rates of 36.7 adverse events per 100 admissions and 76.3 adverse events per 1000 patient-days were calculated. Sixty-two patients (25.8%) had at least 1 adverse event during their hospitalization, and 18 (7.5%) had >1 event identified. Three-quarters of the events were category E (temporary harm). Two events required intervention to sustain life (category H). Two of the 6 trigger modules identified 95% of the adverse events. CONCLUSIONS: The GTT demonstrated utility in the pediatric inpatient setting. With the use of the trigger tool, we identified a rate of harm 2 to 3 times higher than previously published pediatric rates. Modifications to the trigger tool to address pediatric-specific issues could increase the test characteristics of the tool.
Authors: Rosemary J Call; Jonathan D Burlison; Jennifer J Robertson; Jeffrey R Scott; Donald K Baker; Michael G Rossi; Scott C Howard; James M Hoffman Journal: J Pediatr Date: 2014-04-25 Impact factor: 4.406
Authors: Jonathan D Burlison; Robert B McDaniel; Donald K Baker; Murad Hasan; Jennifer J Robertson; Scott C Howard; James M Hoffman Journal: Appl Clin Inform Date: 2018-01-31 Impact factor: 2.342
Authors: Allison Lipitz-Snyderman; David Pfister; David Classen; Coral L Atoria; Aileen Killen; Andrew S Epstein; Christopher Anderson; Elizabeth Fortier; Saul N Weingart Journal: Cancer Date: 2017-08-17 Impact factor: 6.860
Authors: Hillary J Mull; Caitlin W Brennan; Tiffany Folkes; John Hermos; Jeffrey Chan; Amy K Rosen; Steven R Simon Journal: Qual Manag Health Care Date: 2015 Jul-Sep Impact factor: 0.926
Authors: David C Stockwell; Christopher P Landrigan; Sara L Toomey; Samuel S Loren; Jisun Jang; Jessica A Quinn; Sepideh Ashrafzadeh; Michelle J Wang; Melody Wu; Paul J Sharek; David C Classen; Rajendu Srivastava; Gareth Parry; Mark A Schuster Journal: Pediatrics Date: 2018-07-13 Impact factor: 7.124
Authors: Tera L Reynolds; Patricia R DeLucia; Karen A Esquibel; Todd Gage; Noah J Wheeler; J Adam Randell; James G Stevenson; Kai Zheng Journal: JAMIA Open Date: 2019-01-04