Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Randomized Controlled Trial
. 2017 Jun;7(2):185-195.
doi: 10.1007/s13142-017-0470-8.

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

Affiliations
Randomized Controlled Trial

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

Steven L Bernstein et al. Transl Behav Med. 2017 Jun.

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).

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

PubMed Disclaimer

Conflict of interest statement

Funding

This study was supported by R18HL105208 from the National Heart, Lung, and Blood Institute of the National Institutes of Health.

Conflict of interest

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Smoking status options in electronic health record
Fig. 2
Fig. 2
Best practice alert
Fig. 3
Fig. 3
Tobacco order set
Fig. 4
Fig. 4
E-mail message to primary care physicians
Fig. 5
Fig. 5
Text added to discharge (i.e., after-visit) summary
Fig. 6
Fig. 6
Feedback report to physician subjects
Fig. 7
Fig. 7
Best practice alert base record

References

    1. Fiore MC, Goplerud E, Schroeder SA. The Joint Commission’s new tobacco-cessation measures—will hospitals do the right thing? N Engl J Med. 2012;366(13):1172–1174. doi: 10.1056/NEJMp1115176. - DOI - PMC - PubMed
    1. Blumenthal D, Tavenner M. The meaningful use regulation for electronic health records. N Engl J Med. 2010;363(6):501–504. doi: 10.1056/NEJMp1006114. - DOI - PubMed
    1. Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff. 2011;30(3):464–471. doi: 10.1377/hlthaff.2011.0178. - DOI - PubMed
    1. Jamal A, McKenzie K, Clark MJ. The impact of health information technology on the quality of medical and health care: a systematic review. Health Information Management J. 2009;38(3):26–37. doi: 10.1177/183335830903800305. - DOI - PubMed
    1. Duffy SA, Karvonen-Gutierrez CA, Ewing LA, Smith PM, Team VTT. Implementation of the tobacco tactics program in the Department of Veterans Affairs. J Gen Intern Med. 2010;25:3–10. doi: 10.1007/s11606-009-1075-9. - DOI - PMC - PubMed

Publication types

Associated data