ArticleBMJ open2023
Clinical impacts of an integrated electronic health record-based smoking cessation intervention during hospitalisation.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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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.
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Who cites it
5 citing papers in PubMed.
- Assessment and Use of Electronic Patient Records for Smoking Cessation Support in Hospital Setting: A Cross-Sectional Study.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026Article
- Prospective study of predictors of continuous smoking abstinence after hospital discharge.Tobacco prevention & cessation · 2026Article
- 300,000 quitters and counting; A systematic approach to tobacco cessation.American journal of preventive cardiology · 2024Article
- Implementation of an "opt-out" tobacco treatment program in six hospitals in South Carolina.BMC health services research · 2024Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo assess the effects of an electronic health record (EHR) intervention that prompts the clinician to prescribe nicotine replacement therapy (NRT) at hospital admission and discharge in a large integrated health system.
designRetrospective cohort study using interrupted time series (ITS) analysis leveraging EHR data generated before and after implementation of the 2015 EHR-based intervention.
settingKaiser Permanente Northern California, a large integrated health system with 4.2 million members.
participantsCurrent smokers aged ≥18 hospitalised for any reason. EXPOSURE: EHR-based clinical decision supports that prompted the clinician to order NRT on hospital admission (implemented February 2015) and discharge (implemented September 2015). MAIN OUTCOMES AND MEASURES: Primary outcomes included the monthly percentage of admitted smokers with NRT orders during admission and at discharge. A secondary outcome assessed patient quit rates within 30 days of hospital discharge as reported during discharge follow-up outpatient visits.
resultsThe percentage of admissions with NRT orders increased from 29.9% in the year preceding the intervention to 78.1% in the year following (41.8% change, 95% CI 38.6% to 44.9%) after implementation of the admission hard-stop intervention compared with the baseline trend (ITS estimate). The percentage of discharges with NRT orders increased acutely at the time of both interventions (admission intervention ITS estimate 15.5%, 95% CI 11% to 20%; discharge intervention ITS estimate 13.4%, 95% CI 9.1% to 17.7%). Following the implementation of the discharge intervention, there was a small increase in patient-reported quit rates (ITS estimate 5.0%, 95% CI 2.2% to 7.8%).
conclusionsAn EHR-based clinical decision-making support embedded into admission and discharge documentation was associated with an increase in NRT prescriptions and improvement in quit rates. Similar systemic EHR interventions can help improve smoking cessation efforts after hospitalisation.
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