Evidence map›Paper›PMID 37844710›Full record

Trial reportAmerican journal of preventive medicine2024

Cost-Effectiveness of a Comprehensive Primary Care Smoking Treatment Program.

Marlon P Mundt, Danielle E McCarthy, Timothy B Baker, Mark E Zehner, Deejay Zwaga, Michael C Fiore

Open access · greenAbstract readPragmatic Clinical Trial
In one paragraph

Trial report in American journal of preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. An economic analysis of Native CHOICES.Journal of substance use and addiction treatment · 2026
    Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Marlon P MundtDepartment of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin. Electronic address: marlon.mundt@fammed.wisc.edu.
Danielle E McCarthyCenter for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin; Department of Medicine, Division of General Internal Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Timothy B BakerCenter for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin; Department of Medicine, Division of General Internal Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Mark E ZehnerCenter for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Deejay ZwagaCenter for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Michael C FioreCenter for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin; Department of Medicine, Division of General Internal Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
University of Wisconsin–Madison · US

Funding

Transforming The Treatment of Tobacco Use in Health Care: Seizing The Potential of the Electronic Health Record to Deliver Comprehensive Chronic Care Treatment for SmokingR35CA197573 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI MICHAEL C FIORE · 2015 to 2026
$10.7M
NCI NIH HHS R35 CA197573
6 · The paper itself

Abstract

introductionSmoking is the leading preventable cause of death and disease in the U.S. This study evaluates the cost-effectiveness from a healthcare system perspective of a comprehensive primary care intervention to reduce smoking rates.

methodsThis pragmatic trial implemented electronic health record prompts during primary care visits and employed certified tobacco cessation specialists to offer proactive outreach and smoking cessation treatment to patients who smoke. The data, analyzed in 2022, included 10,683 patients in the smoking registry from 2017 to 2020. Pre-post analyses compared intervention costs to treatment engagement, successful self-reported smoking cessation, and acute health care utilization (urgent care, emergency department visits, and inpatient hospitalization). Cost per quality-adjusted life year was determined by applying conversion factors obtained from the tobacco research literature to the cost per patient who quit smoking.

resultsTobacco cessation outreach, medication, and counseling costs increased from $2.64 to $6.44 per patient per month, for a total post-implementation intervention cost of $500,216. Smoking cessation rates increased from 1.3% pre-implementation to 8.7% post-implementation, for an incremental effectiveness of 7.4%. The incremental cost-effectiveness ratio was $628 (95% CI: $568, $695) per person who quit smoking, and $905 (95% CI: $822, $1,001) per quality-adjusted life year gained. Acute health care costs decreased by an average of $42 (95% CI: -$59, $145) per patient per month for patients in the smoking registry.

conclusionsImplementation of a comprehensive and proactive smoking cessation outreach and treatment program for adult primary care patients who smoke meets typical cost-effectiveness thresholds for healthcare.

Indexed as

Smoking CessationTobacco Use CessationAdultCost-Benefit AnalysisHumansPrimary Health CareSmoking

Identifiers

PMID37844710
PMCPMC10922402
OpenAlexW4387644023

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.