Asset Details
Do you wish to reserve the book?
Patient and hospital characteristics that influence incidence of adverse events in acute public hospitals in Portugal
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?
Patient and hospital characteristics that influence incidence of adverse events in acute public hospitals in Portugal
Do you wish to request the book?
Patient and hospital characteristics that influence incidence of adverse events in acute public hospitals in Portugal
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
Patient and hospital characteristics that influence incidence of adverse events in acute public hospitals in Portugal
2018
Overview
Abstract
Objective
To analyse the variation in the rate of adverse events (AEs) between acute hospitals and explore the extent to which some patients and hospital characteristics influence the differences in the rates of AEs.
Design
Retrospective cohort study. Chi-square test for independence and binary logistic regression models were used to identify the potential association of some patients and hospital characteristics with AEs.
Setting
Nine acute Portuguese public hospital centres.
Participants
A random sample of 4250 charts, representative of around 180 000 hospital admissions in 2013, was analysed.
Intervention
To measure adverse events based on chart review.
Main Outcome Measure
Rate of AEs.
Results
Main results: (i) AE incidence was 12.5%; (ii) 66.4% of all AEs were related to Hospital-Acquired Infection and surgical procedures; (iii) patient characteristics such as sex (female 11%; male 14.4%), age (≥65 y 16.4%; <65 y 8.5%), admission coded as elective vs. urgent (8.6% vs. 14.6%) and medical vs. surgical Diagnosis Related Group code (13.4% vs. 11.7%), all with p < 0.001, were associated with a greater occurrence of AEs. (iv) hospital characteristics such as use of reporting system (13.2% vs. 7.1%), being accredited (13.7% vs. non-accredited 11.2%), university status (15.9% vs. non-university 10.9%) and hospital size (small 12.9%; medium 9.3%; large 14.3%), all with p < 0.001, seem to be associated with a higher rate of AEs.
Conclusions
We identified some patient and hospital characteristics that might influence the rate of AEs. Based on these results, more adequate solutions to improve patient safety can be defined.
Publisher
Oxford University Press
Subject
Accreditation - statistics & numerical data
/ Cross Infection - epidemiology
/ Female
/ Hospitals, Public - statistics & numerical data
/ Hospitals, University - statistics & numerical data
/ Humans
/ Male
/ Medical Errors - statistics & numerical data
/ Patient Safety - statistics & numerical data
/ Portugal
