A Randomized Trial of Palliative Care Discussions Linked to an Automated Early Warning System Alert.

Crit Care Med

1Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, St. Louis, MO. 2Palliative Care Services, Department of Medicine, Barnes-Jewish Hospital, St. Louis, MO. 3Center for Clinical Excellence, BJC HealthCare, St. Louis, MO. 4Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO. 5Department of Medicine, School of Engineering and Applied Sciences, Washington University in St. Louis, St. Louis, MO.

Published: February 2017

Objective: To determine whether an Early Warning System could identify patients wishing to focus on palliative care measures.

Design: Prospective, randomized, pilot study.

Setting: Barnes-Jewish Hospital, Saint Louis, MO (January 15, 2015, to December 12, 2015).

Patients: A total of 206 patients; 89 intervention (43.2%) and 117 controls (56.8%).

Interventions: Palliative care in high-risk patients targeted by an Early Warning System.

Measurements And Main Results: Advanced directive documentation was significantly greater prior to discharge in the intervention group (37.1% vs 15.4%; p < 0.001) as were first-time requests for advanced directive documentation (14.6% vs 0.0%; p < 0.001). Documentation of resuscitation status was also greater prior to discharge in the intervention group (36.0% vs 23.1%; p = 0.043). There was no difference in the number of patients requesting a change in resuscitation status between groups (11.2% vs 9.4%; p = 0.666). However, changes in resuscitation status occurred earlier and on the general medicine units for the intervention group compared to the control group. The number of patients transferred to an ICU was significantly lower for intervention patients (12.4% vs 27.4%; p = 0.009). The median (interquartile range) ICU length of stay was significantly less for the intervention group (0 [0-0] vs 0 [0-1] d; p = 0.014). Hospital mortality was similar (12.4% vs 10.3%; p = 0.635).

Conclusions: This study suggests that automated Early Warning System alerts can identify patients potentially benefitting from directed palliative care discussions and reduce the number of ICU transfers.

Download full-text PDF

Source
http://dx.doi.org/10.1097/CCM.0000000000002068DOI Listing

Publication Analysis

Top Keywords

palliative care
16
early warning
16
intervention group
16
warning system
12
resuscitation status
12
care discussions
8
automated early
8
identify patients
8
advanced directive
8
directive documentation
8

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!