Asset Details
Do you wish to reserve the book?
Examining the weekend effect across ICU performance metrics
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Examining the weekend effect across ICU performance metrics
Do you wish to request the book?
Examining the weekend effect across ICU performance metrics
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Examining the weekend effect across ICU performance metrics
2019
Overview
Background
Known colloquially as the “weekend effect,” the association between weekend admissions and increased mortality within hospital settings has become a highly contested topic over the last two decades. Drawing interest from practitioners and researchers alike, a sundry of works have emerged arguing for and against the presence of the effect across various patient cohorts. However, it has become evident that simply studying population characteristics is insufficient for understanding how the effect manifests. Rather, to truly understand the effect, investigations into its underlying factors must be considered. As such, the work presented in this manuscript serves to address this consideration by moving beyond identification of patient cohorts to examining the role of ICU performance.
Methods
Employing a comprehensive, publicly available database of electronic medical records (EMR), we began by utilizing multiple logistic regression to identify and isolate a specific cohort in which the weekend effect was present. Next, we leveraged the highly detailed nature of the EMR to evaluate ICU performance using well-established ICU quality scorecards to assess differences in clinical factors among patients admitted to an ICU on the weekend versus weekday.
Results
Our results demonstrate the weekend effect to be most prevalent among emergency surgery patients (OR 1.53; 95% CI 1.19, 1.96), specifically those diagnosed with circulatory diseases (
P
<.001). Differences between weekday and weekend admissions for this cohort included a variety of clinical factors such as ventilatory support and night-time discharges.
Conclusions
This work reinforces the importance of accounting for differences in clinical factors as well as patient cohorts in studies investigating the weekend effect.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Aged
/ Female
/ Humans
/ Intensive Care Units - organization & administration
/ Intensive Care Units - standards
/ Intensive Care Units - statistics & numerical data
/ Male
/ Medicine
/ Patients
/ Quality Indicators, Health Care - statistics & numerical data
/ Quality of Health Care - standards
/ Quality of Health Care - statistics & numerical data
/ Surgery
