Eve Angeline Hood-Medland1, Susan L Stewart2, Hien Nguyen1, Mark Avdalovic1, Scott MacDonald3, Shu-Hong Zhu4, Antonio Mayoral4, Elisa K Tong1. 1. Department of Internal Medicine, University of California, Davis in Sacramento, California, United States. 2. Division of Biostatistics, Department of Public Health Sciences, University of California, Davis in Sacramento, California, United States. 3. Department of Clinical Informatics, University of California, Davis in Sacramento, California, United States. 4. Department of Family Medicine, Moores Cancer Center, University of California, San Diego in San Diego, California, United States.
Abstract
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. Georg Thieme Verlag KG Stuttgart · New York.
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. Georg Thieme Verlag KG Stuttgart · New York.
Authors: Brian P Jenssen; Eric D Shelov; Christopher P Bonafide; Steven L Bernstein; Alexander G Fiks; Tyra Bryant-Stephens Journal: Appl Clin Inform Date: 2016-05-25 Impact factor: 2.342
Authors: Steven L Bernstein; June Rosner; Michelle DeWitt; Jeanette Tetrault; Allen L Hsiao; James Dziura; Scott Sussman; Patrick O'Connor; Benjamin Toll Journal: Transl Behav Med Date: 2017-06 Impact factor: 3.046
Authors: Michael Fiore; Rob Adsit; Mark Zehner; Danielle McCarthy; Susan Lundsten; Paul Hartlaub; Todd Mahr; Allison Gorrilla; Amy Skora; Timothy Baker Journal: J Am Med Inform Assoc Date: 2019-08-01 Impact factor: 4.497
Authors: Jennifer Irvin Vidrine; Sanjay Shete; Yisheng Li; Yumei Cao; Margo Hilliard Alford; Michelle Galindo-Talton; Vance Rabius; Barry Sharp; Penny Harmonson; Susan M Zbikowski; Lyndsay Miles; David W Wetter Journal: Am J Prev Med Date: 2013-12 Impact factor: 5.043
Authors: Mona Sharifi; William G Adams; Jonathan P Winickoff; Jing Guo; Margaret Reid; Renée Boynton-Jarrett Journal: Acad Pediatr Date: 2014 Sep-Oct Impact factor: 3.107
Authors: Marjolein Verbiest; Evelyn Brakema; Rianne van der Kleij; Kate Sheals; Georgia Allistone; Siân Williams; Andy McEwen; Niels Chavannes Journal: NPJ Prim Care Respir Med Date: 2017-01-20 Impact factor: 2.871
Authors: Brian P Jenssen; Dean J Karavite; Shannon Kelleher; Ekaterina Nekrasova; Jeritt G Thayer; Raj Ratwani; Judy Shea; Emara Nabi-Burza; Jeremy E Drehmer; Jonathan P Winickoff; Robert W Grundmeier; Robert A Schnoll; Alexander G Fiks Journal: Appl Clin Inform Date: 2022-05-18 Impact factor: 2.762
Authors: Joshua Wadlin; Daniel E Ford; Michael C Albert; Nae-Yuh Wang; Geetanjali Chander Journal: J Gen Intern Med Date: 2022-03-08 Impact factor: 6.473
Authors: Mollie M Mustoe; James M Clark; Timothy T Huynh; Elisa K Tong; Terri P Wolf; Lisa M Brown; David T Cooke Journal: JAMA Surg Date: 2020-09-01 Impact factor: 14.766
Authors: Susan A Flocke; Elizabeth L Albert; Steven A Lewis; Thomas E Love; Jeanmarie C Rose; David C Kaelber; Eileen L Seeholzer Journal: BMC Fam Pract Date: 2021-05-04 Impact factor: 2.497
Authors: Elisa K Tong; Terri Wolf; David T Cooke; Nathan Fairman; Moon S Chen Journal: Int J Environ Res Public Health Date: 2020-05-06 Impact factor: 3.390
Authors: Mark E Zehner; Julie A Kirsch; Robert T Adsit; Allison Gorrilla; Kristine Hayden; Amy Skora; Marika Rosenblum; Timothy B Baker; Michael C Fiore; Danielle E McCarthy Journal: Implement Sci Commun Date: 2022-10-08
Authors: Thulasee Jose; Joshua W Ohde; J Taylor Hays; Michael V Burke; David O Warner Journal: Int J Environ Res Public Health Date: 2020-06-06 Impact factor: 3.390