Literature DB >> 28194729

Design and implementation of decision support for tobacco dependence treatment in an inpatient electronic medical record: a randomized trial.

Steven L Bernstein1, June Rosner2, Michelle DeWitt3, Jeanette Tetrault4, Allen L Hsiao5, James Dziura2, Scott Sussman3, Patrick O'Connor4, Benjamin Toll6.   

Abstract

Tobacco dependence treatment for hospitalized smokers results in long-term cessation if treatment continues at least 30 days post-discharge. Health information technology may facilitate ongoing tobacco dependence treatment after hospital discharge. To describe the use and impact of a new decision support tool and order set for inpatient physicians, addressing tobacco dependence treatment for hospitalized smokers, embedded in an electronic health record (EHR). In a cluster-randomized trial, 254 physicians were randomized (1:1) to either receive or not receive the decision support tool and order set, which were embedded in the Epic (Madison, WI) EHR used at 2 hospitals in a single city. When an adult patient was admitted to a medical service, an electronic alert appeared if the patient was coded in the EHR as a smoker. For physicians randomized to the intervention, the alert linked to an order set to prescribe tobacco treatment medications and refer the patient to the state tobacco quitline. Additionally, "tobacco use disorder" was added to the patient's problem list, and an e-mail was sent to the patient's primary care provider (PCP). In the control arm, an alert fired with no screen visibility. Generalized estimating equations were used to model the data. Since August 2013, the alert has appeared for 10,939 patients (5391 intervention, 5548 control). Compared to control physicians, intervention physicians were more likely to order tobacco treatment medication (35 vs. 29%, P < 0.0001), populate the problem list with tobacco use disorder (41 vs. 2%, P < 0.0001), and make a referral to the state smokers' quitline (30 vs. 0%, P < 0.0001). In addition, intervention physicians sent an e-mail to the patient's PCP 4152 (99%) times. Designing and implementing an order set and alert for tobacco treatment in an EHR is feasible and helps physicians place more orders for tobacco treatment medication, referrals to the state smokers' quitline, and e-mails to patients' PCPs. Data on cessation outcomes are pending. TRIAL REGISTRATION: www.ClinicalTrials.gov (NCT01691105).

Entities:  

Keywords:  Decision support; Electronic health records; Smoking cessation; Tobacco dependence treatment

Mesh:

Year:  2017        PMID: 28194729      PMCID: PMC5526813          DOI: 10.1007/s13142-017-0470-8

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  9 in total

Review 1.  Smoking-cessation interventions by type of provider: a meta-analysis.

Authors:  Walter A Mojica; Marika J Suttorp; Scott E Sherman; Sally C Morton; Elizabeth A Roth; Margaret A Maglione; Shannon L Rhodes; Paul G Shekelle
Journal:  Am J Prev Med       Date:  2004-06       Impact factor: 5.043

2.  Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact.

Authors:  Geoffrey M Curran; Mark Bauer; Brian Mittman; Jeffrey M Pyne; Cheryl Stetler
Journal:  Med Care       Date:  2012-03       Impact factor: 2.983

3.  The "meaningful use" regulation for electronic health records.

Authors:  David Blumenthal; Marilyn Tavenner
Journal:  N Engl J Med       Date:  2010-07-13       Impact factor: 91.245

Review 4.  The impact of health information technology on the quality of medical and health care: a systematic review.

Authors:  Aziz Jamal; Kirsten McKenzie; Michele Clark
Journal:  Health Inf Manag       Date:  2009       Impact factor: 3.185

Review 5.  The benefits of health information technology: a review of the recent literature shows predominantly positive results.

Authors:  Melinda Beeuwkes Buntin; Matthew F Burke; Michael C Hoaglin; David Blumenthal
Journal:  Health Aff (Millwood)       Date:  2011-03       Impact factor: 6.301

6.  Using the electronic health record to connect primary care patients to evidence-based telephonic tobacco quitline services: a closed-loop demonstration project.

Authors:  Robert T Adsit; Bradley M Fox; Thanos Tsiolis; Carolyn Ogland; Michelle Simerson; Linda M Vind; Sean M Bell; Amy D Skora; Timothy B Baker; Michael C Fiore
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

7.  The Joint Commission's new tobacco-cessation measures--will hospitals do the right thing?

Authors:  Michael C Fiore; Eric Goplerud; Steven A Schroeder
Journal:  N Engl J Med       Date:  2012-03-14       Impact factor: 91.245

Review 8.  Smoking cessation interventions for hospitalized smokers: a systematic review.

Authors:  Nancy A Rigotti; Marcus R Munafo; Lindsay F Stead
Journal:  Arch Intern Med       Date:  2008-10-13

9.  Implementation of the Tobacco Tactics program in the Department of Veterans Affairs.

Authors:  Sonia A Duffy; Carrie A Karvonen-Gutierrez; Lee A Ewing; Patricia M Smith
Journal:  J Gen Intern Med       Date:  2010-01       Impact factor: 5.128

  9 in total
  17 in total

1.  Clinical Decision Support Tool for Parental Tobacco Treatment in Hospitalized Children.

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

2.  Automated Generation of CONSORT Diagrams Using Relational Database Software.

Authors:  Teresa O'Leary; June Weiss; Benjamin Toll; Cynthia Brandt; Steven L Bernstein
Journal:  Appl Clin Inform       Date:  2019-01-23       Impact factor: 2.342

3.  Health System Implementation of a Tobacco Quitline eReferral.

Authors:  Eve Angeline Hood-Medland; Susan L Stewart; Hien Nguyen; Mark Avdalovic; Scott MacDonald; Shu-Hong Zhu; Antonio Mayoral; Elisa K Tong
Journal:  Appl Clin Inform       Date:  2019-10-02       Impact factor: 2.342

Review 4.  Tobacco Use Assessment and Treatment in Cancer Patients: A Scoping Review of Oncology Care Clinician Adherence to Clinical Practice Guidelines in the U.S.

Authors:  Sarah N Price; Jamie L Studts; Heidi A Hamann
Journal:  Oncologist       Date:  2018-11-16

Review 5.  Considering Systemic Barriers to Treating Tobacco Use in Clinical Settings in the United States.

Authors:  Alana M Rojewski; Steffani R Bailey; Steven L Bernstein; Nina A Cooperman; Ellen R Gritz; Maher A Karam-Hage; Megan E Piper; Nancy A Rigotti; Graham W Warren
Journal:  Nicotine Tob Res       Date:  2019-10-26       Impact factor: 4.244

6.  Care-paradigm shift promoting smoking cessation treatment among cancer center patients via a low-burden strategy, Electronic Health Record-Enabled Evidence-Based Smoking Cessation Treatment.

Authors:  Alex T Ramsey; Ami Chiu; Timothy Baker; Nina Smock; Jingling Chen; Tina Lester; Douglas E Jorenby; Graham A Colditz; Laura J Bierut; Li-Shiun Chen
Journal:  Transl Behav Med       Date:  2020-12-31       Impact factor: 3.046

7.  Increased Reach and Effectiveness With a Low-Burden Point-of-Care Tobacco Treatment Program in Cancer Clinics.

Authors:  Alex T Ramsey; Timothy B Baker; Faith Stoneking; Nina Smock; Jingling Chen; Giang Pham; Aimee S James; Graham A Colditz; Ramaswamy Govindan; Laura J Bierut; Li-Shiun Chen
Journal:  J Natl Compr Canc Netw       Date:  2022-05       Impact factor: 12.693

Review 8.  The effects of on-screen, point of care computer reminders on processes and outcomes of care.

Authors:  Kaveh G Shojania; Alison Jennings; Alain Mayhew; Craig R Ramsay; Martin P Eccles; Jeremy Grimshaw
Journal:  Cochrane Database Syst Rev       Date:  2009-07-08

9.  Closed-Loop Electronic Referral From Primary Care Clinics to a State Tobacco Cessation Quitline: Effects Using Real-World Implementation Training.

Authors:  Timothy B Baker; Kristin M Berg; Robert T Adsit; Amy D Skora; Matthew P Swedlund; Mark E Zehner; Danielle E McCarthy; Russell E Glasgow; Michael C Fiore
Journal:  Am J Prev Med       Date:  2021-03       Impact factor: 5.043

10.  Cross sectional study to assess the accuracy of electronic health record data to identify patients in need of lung cancer screening.

Authors:  Allison M Cole; Bethann Pflugeisen; Malaika R Schwartz; Sophie Cain Miller
Journal:  BMC Res Notes       Date:  2018-01-10
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