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Design and Pilot Implementation of an Electronic Health Record-Based System to Automatically Refer Cancer Patients to Tobacco Use Treatment

Author

Listed:
  • Thulasee Jose

    (Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN 55902, USA)

  • Joshua W. Ohde

    (Center for Clinical and Translational Science, Mayo Clinic, Rochester, MN 55902, USA)

  • J. Taylor Hays

    (Department of Medicine, Nicotine Dependence Center, Mayo Clinic, Rochester, MN 55902, USA)

  • Michael V. Burke

    (Department of Medicine, Nicotine Dependence Center, Mayo Clinic, Rochester, MN 55902, USA)

  • David O. Warner

    (Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN 55902, USA)

Abstract

Continued tobacco use after cancer diagnosis is detrimental to treatment and survivorship. The current reach of evidence-based tobacco treatments in cancer patients is low. As a part of the National Cancer Institute Cancer Center Cessation Initiative, the Mayo Clinic Cancer Center designed an electronic health record (EHR, Epic © )-based process to automatically refer ambulatory oncology patients to tobacco use treatment, regardless of intent to cease tobacco use(“opt out”). The referral and patient scheduling, accomplished through a best practice advisory (BPA) directed to staff who room patients, does not require a co-signature from clinicians. This process was piloted for a six-week period starting in July of 2019 at the Division of Medical Oncology, Mayo Clinic, Rochester, MN. All oncology patients who were tobacco users were referred for tobacco treatment by the rooming staff ( n = 210). Of these, 150 (71%) had a tobacco treatment appointment scheduled, and 25 (17%) completed their appointment. We conclude that an EHR-based “opt-out” approach to refer patients to tobacco dependence treatment that does not require active involvement by clinicians is feasible within the oncology clinical practice. Further work is needed to increase the proportion of scheduled patients who attend their appointments.

Suggested Citation

  • Thulasee Jose & Joshua W. Ohde & J. Taylor Hays & Michael V. Burke & David O. Warner, 2020. "Design and Pilot Implementation of an Electronic Health Record-Based System to Automatically Refer Cancer Patients to Tobacco Use Treatment," IJERPH, MDPI, vol. 17(11), pages 1-11, June.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:11:p:4054-:d:368095
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    References listed on IDEAS

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    1. Jennifer H. LeLaurin & Jesse Dallery & Natalie L. Silver & Merry-Jennifer Markham & Ryan P. Theis & Deandra K. Chetram & Stephanie A. Staras & Matthew J. Gurka & Graham W. Warren & Ramzi G. Salloum, 2020. "An Implementation Trial to Improve Tobacco Treatment for Cancer Patients: Patient Preferences, Treatment Acceptability and Effectiveness," IJERPH, MDPI, vol. 17(7), pages 1-12, March.
    2. Kathleen Gali & Brittany Pike & Matthew S. Kendra & Cindy Tran & Priya Fielding-Singh & Kayla Jimenez & Rachelle Mirkin & Judith J. Prochaska, 2020. "Integration of Tobacco Treatment Services into Cancer Care at Stanford," IJERPH, MDPI, vol. 17(6), pages 1-10, March.
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    Cited by:

    1. Chineme Enyioha & Graham W. Warren & Glen D. Morgan & Adam O. Goldstein, 2020. "Tobacco Use and Treatment among Cancer Survivors," IJERPH, MDPI, vol. 17(23), pages 1-7, December.
    2. Julia R. May & Elizabeth Klass & Kristina Davis & Timothy Pearman & Steven Rittmeyer & Sheetal Kircher & Brian Hitsman, 2020. "Leveraging Patient Reported Outcomes Measurement via the Electronic Health Record to Connect Patients with Cancer to Smoking Cessation Treatment," IJERPH, MDPI, vol. 17(14), pages 1-13, July.
    3. Tongyao Fan & Jessica M. Yingst & Rebecca Bascom & Leonard Tuanquin & Susan Veldheer & Steven Branstetter & Jonathan Foulds & Joshua E. Muscat, 2022. "Feasibility of Patient Navigation-Based Smoking Cessation Program in Cancer Patients," IJERPH, MDPI, vol. 19(7), pages 1-16, March.

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