A PICU patient safety checklist: rate of utilization and impact on patient care

Autor: W. David Creery, Maelle G.R. Marchand, Brianna L. Mckelvie, James Dayre McNally, Kusum Menon, Deepti Reddy
Rok vydání: 2016
Předmět:
Zdroj: International Journal for Quality in Health Care. 28:371-375
ISSN: 1464-3677
1353-4505
DOI: 10.1093/intqhc/mzw042
Popis: Objective In healthcare, checklists help to ensure patients receive evidence-based, safe care. Since 2007, we have used a bedside checklist in our PICU to facilitate daily discussion of care-related questions at each bedside. The primary objective of this study was to assess compliance with checklist use and to assess how often individual checklist elements affected patient management. A secondary objective was to determine whether patient and unit factors (severity of illness, unit census, weekday vs. weekend, admitting diagnosis group) influenced checklist use. Design This was a prospective observational study. A research assistant attended daily bedside rounds to collect data at each eligible patient encounter. Setting The study was conducted in the Children's Hospital of Eastern Ontario (CHEO) PICU, a 12-bed cardiac and medical-surgical unit. Participants Included all patients admitted to the PICU prior to 6 am and who were not being discharged that day. Intervention A bedside rounds checklist. Main Outcome Measures Included compliance and whether the checklist affected the patient's management plan. Results A total of 148 encounters were collected on 28 days between September 2013 and February 2014. Compliance with the checklist was 89.2% (132/148; 95% CI 83.2–93.2%) and was not influenced by admitting diagnosis group, patient census, severity of patient's conditions or weekday/weekend status. The checklist affected the patient management plan 52.6% of the time (69/132; 95% CI 44.2–61%). Conclusions Our study found high rates of compliance with an established checklist that has been in use in the PICU since 2007. Checklist use frequently resulted in a change in the patient management plan.
Databáze: OpenAIRE