ArticleJournal of multidisciplinary healthcare2023
Integrating Tobacco Dependence Treatment into Hospital Practice Using the Rochester Model.
Article in Journal of multidisciplinary healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Effectiveness of smoking cessation on the high-risk population of lung cancer with early screening: a systematic review and meta-analysis of randomized controlled trials until January 2022.Archives of public health = Archives belges de sante publique · 2023Pooled it
- Approaches for cessation and elimination of tobacco to atttain sustainable development goal.Journal of family medicine and primary care · 2025Review
- Perspectives of Hospital Staff on Barriers to Smoking Cessation Interventions among Drug-Resistant Tuberculosis Patients in a South African Management Hospital.International journal of environmental research and public health · 2024Article
- Training Medical Student Counselors for the Rochester Model, a Hospital Tobacco Treatment Program.Journal of multidisciplinary healthcare · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Delivering evidence-based tobacco dependence treatments to hospital patients in real-world settings continues to be a challenge. To achieve long-term abstinence, a program should provide both bedside counseling and post-discharge contacts. These program features are necessary but difficult to implement due to lack of training, time and low administrative support. The Rochester Model is a tobacco treatment program using existing staff and medical students to reduce the barriers for treating hospitalized smokers. Patients and Methods: Any smoking patient admitted to a participating hospital unit can participate. Staff nurses, mid-level providers and physicians deliver the counseling steps during the admission. Nurses hold two bedside counseling sessions, while providers give quitting advice and encourage pharmacotherapy. Nurses also contribute as unit champions and post-discharge call counselors. New York State quit line counselors combined with a University of Rochester call team fulfill the post-discharge calls. The latter call team is composed of staff nurses, respiratory therapists and medical students. Results: The number of smoking patients screened was 2610 while 385 enrolled after a proof-of-concept period. The 7-day point prevalence quit rates using the as treated (patients contacted) analysis is 50% at 4 weeks, 42% at 3 months and 38% at 6 months. The 7-day point prevalence quit rates using the intent-to-treat (all patients) analysis is 23% at 4 weeks, 16% at 3 months and 14% at 6 months. Conclusion: Preliminary data on the Rochester Model is showing an effective yet affordable tobacco treatment program using hospital staff and medical students. Nurses serve as bedside counselors, unit champions and post-discharge call counselors. Hospitals, even with limited resources, can implement tobacco treatment programs using existing staff.
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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.