Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Transitional Care Programs for Patients with High Nursing Activity Scores Reduce Unplanned Readmissions to Intensive Care Units
by
Masuda, Yoshiki
, Tatsumi, Hiroomi
, Haruna, Junpei
in
APACHE
/ Delirium
/ Electronic health records
/ Hospital care
/ Hospitals
/ Humans
/ ICU readmission
/ Intensive care
/ Intensive care nursing
/ Intensive Care Units
/ Management
/ Methods
/ Mortality
/ nursing activities score
/ Nursing care
/ Patient Discharge
/ Patient Readmission
/ Patients
/ Physicians
/ Prevention
/ Regression analysis
/ Respiratory failure
/ Retrospective Studies
/ Risk Factors
/ Transitional Care
/ transitional care program
/ Variables
/ Ventilators
/ Workloads
2022
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.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
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?
Transitional Care Programs for Patients with High Nursing Activity Scores Reduce Unplanned Readmissions to Intensive Care Units
by
Masuda, Yoshiki
, Tatsumi, Hiroomi
, Haruna, Junpei
in
APACHE
/ Delirium
/ Electronic health records
/ Hospital care
/ Hospitals
/ Humans
/ ICU readmission
/ Intensive care
/ Intensive care nursing
/ Intensive Care Units
/ Management
/ Methods
/ Mortality
/ nursing activities score
/ Nursing care
/ Patient Discharge
/ Patient Readmission
/ Patients
/ Physicians
/ Prevention
/ Regression analysis
/ Respiratory failure
/ Retrospective Studies
/ Risk Factors
/ Transitional Care
/ transitional care program
/ Variables
/ Ventilators
/ Workloads
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Transitional Care Programs for Patients with High Nursing Activity Scores Reduce Unplanned Readmissions to Intensive Care Units
by
Masuda, Yoshiki
, Tatsumi, Hiroomi
, Haruna, Junpei
in
APACHE
/ Delirium
/ Electronic health records
/ Hospital care
/ Hospitals
/ Humans
/ ICU readmission
/ Intensive care
/ Intensive care nursing
/ Intensive Care Units
/ Management
/ Methods
/ Mortality
/ nursing activities score
/ Nursing care
/ Patient Discharge
/ Patient Readmission
/ Patients
/ Physicians
/ Prevention
/ Regression analysis
/ Respiratory failure
/ Retrospective Studies
/ Risk Factors
/ Transitional Care
/ transitional care program
/ Variables
/ Ventilators
/ Workloads
2022
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.
Transitional Care Programs for Patients with High Nursing Activity Scores Reduce Unplanned Readmissions to Intensive Care Units
Journal Article
Transitional Care Programs for Patients with High Nursing Activity Scores Reduce Unplanned Readmissions to Intensive Care Units
2022
Request Book From Autostore
and Choose the Collection Method
Overview
Background and Objectives: The main objective of a transitional care program (TCP) is to detect patients with early deterioration following intensive care unit (ICU) discharge in order to reduce unplanned ICU readmissions. Consensus on the effectiveness of TCPs in preventing unscheduled ICU readmissions remains lacking. In this case study assessing the effectiveness of TCP, we focused on the association of unplanned ICU readmission with high nursing activities scores (NASs), which are considered a risk factor for ICU readmission. Materials and Methods: This retrospective observational study analyzed the data of patients admitted to a single-center ICU between January 2016 and December 2019, with an NAS of >53 points at ICU discharge. The following data were extracted: patient characteristics, ICU treatment, acute physiology and chronic health evaluation II (APACHE II) score at ICU admission, Charlson comorbidity index (CCI), 28-day mortality rate, and ICU readmission rate. The primary outcome was the association between unplanned ICU readmissions and the use of a TCP. The propensity score (PS) was calculated using the following variables: age, sex, APACHE II score, and CCI. Subsequently, logistic regression analysis was performed using the PS to evaluate the outcomes. Results: A total of 143 patients were included in this study, of which 87 (60.8%) participated in a TCP. Respiratory failure was the most common cause of unplanned ICU readmission. The unplanned ICU readmission rate was significantly lower in the TCP group. In the logistic regression model, TCP (odds ratio, 5.15; 95% confidence interval, 1.46–18.2; p = 0.01) was independently associated with unplanned ICU readmission. Conclusions: TCP intervention with a focus on patients with a high NAS (>53 points) may prevent unplanned ICU readmission.
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.