Background: Proactive referrals through electronic orders (eReferrals) can increase patient connection with tobacco quitlines. More information is needed on "real-world" implementation of electronic health record tools to promote tobacco cessation while minimizing provider burden.

Objectives: This paper examines the health system implementation of an eReferral to a tobacco quitline without best practice alerts in primary care, specialty, and hospital settings in an academic health system.

Methods: This is a prospective implementation study of a health system tobacco eReferral to a state quitline that was completed with an approach to minimize provider cognitive burden. Data are drawn from electronic health record data at University of California, Davis Health Systems (March 2013-February 2016).

Results: Over 3 years, 16,083 encounters with smokers resulted in 1,137 eReferral orders (7.1%). Treatment reach was 1.6% for quitline services and 2.3% for outpatient group classes. While the group classes were offered to outpatient smokers, the eReferral order was included in an outpatient order set and eventually an automated inpatient discharge order set; no provider alerts were implemented. Referrals were sustained and doubled after inpatient order set implementation. Among all first time eReferral patients, 12.2% had a 6 to 12 month follow-up visit at which they were documented as nonsmoking.

Conclusion: This study demonstrates a quitline eReferral order can be successfully implemented and sustained with minimal promotion, without provider alerts and in conjunction with group classes. Reach and effectiveness were similar to previously described literature.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774758PMC
http://dx.doi.org/10.1055/s-0039-1697593DOI Listing

Publication Analysis

Top Keywords

health system
12
group classes
12
order set
12
system implementation
8
tobacco quitline
8
quitline ereferral
8
electronic health
8
health record
8
ereferral order
8
provider alerts
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!