A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Using implementation science to encourage Serious Illness Conversations on general medicine inpatient services: An interrupted time series. | LitMetric

Background: Serious Illness Conversations (SICs) are not consistently integrated into existing inpatient workflows.

Objective: We assessed the implementation of multiple interventions aimed at encouraging SICs with hospitalized patients.

Methods: We used the Consolidated Framework for Implementation Research to identify determinants for conducting SICs by interviewing providers and the Expert Recommendations for Implementing Change to develop a list of interventions. Adult patient encounters with a Readmission Risk Score (RRS) > 28% admitted to a general medicine service from January 2019 to October 2021 and without standardized SIC documentation in the prior year were included. A multivariable segmented logistic regression model, suitable for an interrupted time series analysis, was used to assess changes in the odds of standardized SIC documentation.

Results: Barriers included those associated with the COVID-19 pandemic, such as extreme census. Facilitators included the presence of the Speaking About Goals and Expectations program and palliative care consultations. Key interventions included patient identification via the existing Quality and Safety Dashboard (QSD), weekly emails, in-person outreach, and training for faculty and trainees. There was no significant change in the odds of standardized SIC documentation despite interventions (change in temporal trend odds ratio (OR) 1.16, 95% Confidence Interval (CI) 0.98-1.39).

Conclusion: The lack of significant change in standardized SIC documentation may be attributed to insufficient or ineffective interventions and COVID-19-related challenges. Although patient identification is a known barrier to SICs, this issue was minimized with the use of the QSD and RRS. Further research is needed to enhance the implementation of SICs in inpatient settings.

Download full-text PDF

Source
http://dx.doi.org/10.1002/jhm.13537DOI Listing

Publication Analysis

Top Keywords

standardized sic
16
sic documentation
12
serious illness
8
illness conversations
8
general medicine
8
interrupted time
8
time series
8
odds standardized
8
patient identification
8
sics
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!