A Multiple Baseline Trial of an Electronic ICU Discharge Summary Tool for Improving Quality of Care.

OBJECTIVE: Effective communication between clinicians is essential for seamless discharge of patients between care settings. Yet, discharge summaries are commonly not available and incomplete. We implemented and evaluated a structured electronic health record-embedded electronic discharge (eDischarge) summary tool for patients discharged from the ICU to a hospital ward. DESIGN: Multiple baseline trial with randomized and staggered implementation. SETTING: Adult medical-surgical ICUs at four acute care hospitals serving a single Canadian city. PATIENTS: Health records of patients 18 years old or older, in the ICU 24 hours or longer, and discharged from the ICU to an in-hospital patient ward between February 12, 2018, and June 30, 2019. INTERVENTION: A structured electronic note (ICU eDischarge tool) with predefined fields (e.g., diagnosis) embedded in the hospital-wide electronic health information system. MEASUREMENTS AND MAIN RESULTS: We compared the percent of timely (available at discharge) and complete (included goals of care designation, diagnosis, list of active issues, active medications) discharge summaries pre and post implementation using mixed effects logistic regression models. After implementing the ICU eDischarge tool, there was an immediate and sustained increase in the proportion of patients discharged from ICU with timely and complete discharge summaries from 10.8% (preimplementation period) to 71.1% (postimplementation period) (adjusted odds ratio, 32.43; 95% CI, 18.22-57.73). No significant changes were observed in rapid response activation, cardiopulmonary arrest, death in hospital, ICU readmission, and hospital length of stay following ICU discharge. Preventable (60.1 vs 5.7 per 1,000 d; p = 0.023), but not nonpreventable (27.3 vs 40.2 per 1,000d; p = 0.54), adverse events decreased post implementation. Clinicians perceived the eDischarge tool to produce a higher quality discharge process. CONCLUSIONS: Implementation of an electronic tool was associated with more timely and complete discharge summaries for patients discharged from the ICU to a hospital ward.

Effectiveness of an Electronic Communication Tool on Transitions in Care From the Intensive Care Unit: Protocol for a Cluster-Specific Pre-Post Trial.

BACKGROUND: Transitions in care are vulnerable periods in health care that can expose patients to preventable errors due to incomplete or delayed communication between health care providers. Transitioning critically ill patients from intensive care units (ICUs) to other patient care units (PCUs) is particularly risky, due to the high acuity of the patients and the diversity of health care providers involved in their care. Instituting structured documentation to standardize written communication between health care providers during transitions has been identified as a promising means to reduce communication breakdowns. We developed an evidence-informed, computer-enabled, ICU-specific structured tool-an electronic transfer (e-transfer) tool-to facilitate and standardize the composition of written transfer summaries in the ICUs of one Canadian city. The tool consisted of 10 primary sections with a user interface combination of structured, automated, and free-text fields. OBJECTIVE: Our overarching goal is to evaluate whether implementation of our e-transfer tool will improve the completeness and timeliness of transfer summaries and streamline communications between health care providers during high-risk transitions. METHODS: This study is a cluster-specific pre-post trial, with randomized and staggered implementation of the e-transfer tool in four hospitals in Calgary, Alberta. Hospitals (ie, clusters) were allocated randomly to cross over every 2 months from control (ie, dictation only) to intervention (ie, e-transfer tool). Implementation at each site was facilitated with user education, point-of-care support, and audit and feedback. We will compare transfer summaries randomly sampled over 6 months postimplementation to summaries randomly sampled over 6 months preimplementation. The primary outcome will be a binary composite measure of the timeliness and completeness of transfer summaries. Secondary measures will include overall completeness, timeliness, and provider ratings of transfer summaries; hospital and ICU lengths of stay; and post-ICU patient outcomes, including ICU readmission, adverse events, cardiac arrest, rapid response team activation, and mortality. We will use descriptive statistics (ie, medians and means) to describe demographic characteristics. The primary outcome will be compared within each hospital pre- and postimplementation using separate logistic regression models for each hospital, with adjustment for patient characteristics. RESULTS: Participating hospitals were cluster randomized to the intervention between July 2018 and January 2019. Preliminary extraction of ICU patient admission lists was completed in September 2019. We anticipate that evaluation data collection will be completed by early 2021, with first results ready for publication in spring or summer 2021. CONCLUSIONS: This study will report the impact of implementing an evidence-informed, computer-enabled, ICU-specific structured transfer tool on communication and preventable medical errors among patients transferred from the ICU to other hospital care units. TRIAL REGISTRATION: ClinicalTrials.gov NCT03590002; https://www.clinicaltrials.gov/ct2/show/NCT03590002. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/18675.

Are All Stroke Patients Eligible for Fast Alteplase Treatment? An Analysis of Unavoidable Delays.

OBJECTIVES: The National Quality Forum recently endorsed a performance measure for time to intravenous thrombolytic therapy which allows exclusions for circumstances in which fast alteplase treatment may not be possible. However, the frequency and impact of unavoidable patient reasons for long door-to-needle time (DNT), such as need for medical stabilization, are largely unknown in clinical practice. As part of the Hurry Acute Stroke Treatment and Evaluation-2 (HASTE-2) project, we sought to identify patient and systems reasons associated with longer DNT. METHODS: From June 2012 to June 2013 we collected data on DNT and potential reasons for delays from 102 consecutive patients presenting directly to the emergency department who were treated with alteplase within 4.5 hours of symptom onset. RESULTS: Mean age was 71 years, 56/113 (54%) were women, median NIH Stroke Scale score was 13, and median DNT was 53 minutes. Potential delays were noted in 59/102 (58%), of which 31/102 (31%) were unavoidable patient-related or eligibility reasons. Median DNT was longer when patient-related or eligibility reasons for delay were present (60 minutes) than when absent (45 minutes, p = 0.005). Multivariable modeling showed that need for urgent medical stabilization, presentation with seizure and inability to confirm eligibility were associated with 35%-50% longer DNT times. CONCLUSIONS: Up to 31% of patients have delays due to medical or eligibility-related causes that may be legitimate reasons for providing alteplase later than the benchmark time of 60 minutes.