Trial reportTranslational behavioral medicine2017
Design and implementation of decision support for tobacco dependence treatment in an inpatient electronic medical record: a randomized trial.
Trial report in Translational behavioral medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01691105 (Implementation of HIT-Enhanced Tobacco Treatment for Hospitalized Smokers), which is not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Implementation of HIT-Enhanced Tobacco Treatment for Hospitalized Smokers
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Which Electronic Health Record System Should We Use? A Systematic Review.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022Pooled it
- The effects of on-screen, point of care computer reminders on processes and outcomes of care.The Cochrane database of systematic reviews · 2009Pooled it
- A randomized trial of decision support for tobacco dependence treatment in an inpatient electronic medical record: clinical results.Implementation science : IS · 2019Trial
- Electronic decision support for treatment of hospitalized smokers: A qualitative analysis of physicians' knowledge, attitudes, and practices.Drug and alcohol dependence · 2019Trial
- Article
- A Scoping Review of Implementation Science in Planning and Delivering Tobacco Control Interventions in the United States from 2000 to 2020: Frameworks, Intervention Characteristics, and Health Equity Considerations.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
- Electronic health record activity changes around new decision support implementation: monitoring using audit logs and topic modeling.JAMIA open · 2025Article
- Use of Epic Electronic Health Record System for Health Care Research: Scoping Review.Journal of medical Internet research · 2023Article
- Implementation, Maintenance, and Outcomes of an Electronic Referral to a Tobacco Quitline Across Five Health Systems.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics.JMIR medical informatics · 2023Article
- Pragmatic clinical trial design in emergency medicine: Study considerations and design types.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022Article
- Improving Tobacco Cessation Rates Using Inline Clinical Decision Support.Applied clinical informatics · 2022Article
- Increased Reach and Effectiveness With a Low-Burden Point-of-Care Tobacco Treatment Program in Cancer Clinics.Journal of the National Comprehensive Cancer Network : JNCCN · 2022Article
- Closed-Loop Electronic Referral From Primary Care Clinics to a State Tobacco Cessation Quitline: Effects Using Real-World Implementation Training.American journal of preventive medicine · 2021Article
- 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.Translational behavioral medicine · 2020Article
- Mining Electronic Health Records to Promote the Reach of Digital Interventions for Cancer Prevention Through Proactive Electronic Outreach: Protocol for the Mixed Methods OptiMine Study.JMIR research protocols · 2020Article
- Design and Pilot Implementation of an Electronic Health Record-Based System to Automatically Refer Cancer Patients to Tobacco Use Treatment.International journal of environmental research and public health · 2020Article
- Visualizing implementation: contextual and organizational support mapping of stakeholders (COSMOS).Implementation science communications · 2020Article
- Considering Systemic Barriers to Treating Tobacco Use in Clinical Settings in the United States.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019Review
- Health System Implementation of a Tobacco Quitline eReferral.Applied clinical informatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
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 registrationwww.ClinicalTrials.gov (NCT01691105).
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.