Related Experiment Video
Updated: Dec 27, 2025
Setup and Execution of the Rapid Cycle Deliberate Practice Death Notification Curriculum
Published on: August 5, 2020
Improving Critical Value Read-Back Failure Rate by Modifying the Notification Procedure
Shauna Harris1, William Leech1, Daniel Matienzo1
1From the Departments of Obstetrics and Gynecology and Administration, Nassau University Medical Center, East Meadow, New York and the American University of the Caribbean School of Medicine, Pembroke Pines, Florida.
Objectives:
The aim of the study was to determine whether a system process change improved successful read-back of critical values by the appropriate provider.
Methods:
The study implemented a system process change of switching the "first call" physician from the admitting physician to the most recent document writer. Data were compared before (N = 301) and after the intervention (N = 201). Predictor variables included patient factors, physician factors, and environmental factors. The outcome variables measured were successful read-back within 5 and 30 minutes.
Results:
Read-back failure within 5 minutes was significantly reduced (P < 0.001) from preintervention (49.5%) to postintervention (31.3%). Multivariate logistic regression showed reduced odds for read-back failure postintervention (odds ratio [OR] 0.46, 95% confidence interval [CI] 0.31-0.67, P < 0.001) and increased odds for read-back failure for patients of Hispanic race/ethnicity (OR 1.77, 95% CI 1.09-2.89, P < 0.05). Read-back failure within 30 minutes did not significantly change. Multivariate logistic regression showed that an increased number of telephone calls were associated with an increased odds for read-back failure (OR 3.12, 95% CI 2.13-4.57, P < 0.001).
Conclusions:
We recommend the use of the physician who has most recently engaged with the patient as documented in the medical record for the daily note as the primary source of contact for reporting critical values.
More Related Videos
Related Concept Videos
01:25Errors occurring during blood pressure monitoring
Several factors...
01:00Detection of Gross Error: The Q Test
01:16Critical Region, Critical Values and Significance Level
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
01:19Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
01:19Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
01:10Propagation of Uncertainty from Systematic Error