Evidence map›Paper›PMID 29687268›Full record

Trial reportThe European journal of health economics : HEPAC : health economics in prevention and care2018

Cost-effectiveness of enhancing a Quit-and-Win smoking cessation program for college students.

Jonah Popp, John A Nyman, Xianghua Luo, Jill Bengtson, Katherine Lust, Lawrence An, Jasjit S Ahluwalia, Janet L Thomas

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in The European journal of health economics : HEPAC : health economics in prevention and care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Competitions for smoking cessation.The Cochrane database of systematic reviews · 2019
    Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
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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

8 authors.

Jonah PoppDivision of Health Policy and Management, School of Public Health, University of Minnesota, 420 Delaware Street SE, MMC 729, Minneapolis, MN, 55414, USA. jhpopp@gmail.com.
John A NymanDivision of Health Policy and Management, School of Public Health, University of Minnesota, 420 Delaware Street SE, MMC 729, Minneapolis, MN, 55414, USA.
Xianghua LuoDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Jill BengtsonDivision of General Internal Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
Katherine LustBoynton Health Service, University of Minnesota, Minneapolis, MN, USA.
Lawrence AnCenter for Health Communications Research, University of Michigan, Ann Arbor, MI, USA.
Jasjit S AhluwaliaBrown University, Providence, RI, USA.
Janet L ThomasDivision of General Internal Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN, USA.

Funding

Enhancing Quit and Win Contests to Improve Cessation Among College SmokersR01HL094183 · NHLBI · UNIVERSITY OF MINNESOTA · PI THOMAS, JANET L · 2009 to 2013
$3.7M
National Heart, Lung, and Blood Institute 5R01-HL094183-05NHLBI NIH HHS R01 HL094183
6 · The paper itself

Abstract

objectivesWe conducted a cost-effectiveness analysis and model-based cost-utility and cost-benefit analysis of increased dosage (3 vs. 1 consecutive contests) and enhanced content (supplemental smoking-cessation counseling) of the Quit-and-Win contest using data from a randomized control trial enrolling college students in the US.

methodsFor the cost-utility and cost-benefit analyses, we used a microsimulation model of the life course of current and former smokers to translate the distribution of the duration of continuous abstinence among each treatment arm's participants observed at the end of the trial (N = 1217) into expected quality-adjusted life-years (QALYs) and costs and an incremental net monetary benefit (INMB). Missing observations in the trial were classified as smoking. For our reference case, we took a societal perspective and used a 3% discount rate for costs and benefits. A probabilistic sensitivity analysis (PSA) was performed to account for model and trial-estimated parameter uncertainty. We also conducted a cost-effectiveness analysis (cost per additional intermediate cessation) using direct costs of the intervention and two trial-based estimates of intermediate cessation: (a) biochemically verified (BV) 6-month continuous abstinence and (b) BV 30-day point prevalence abstinence at 6 months.

resultsMultiple contests resulted in a significantly higher BV 6-month continuous abstinence rate (RD 0.04), at a cost of $1275 per additional quit, and increased the duration of continuous abstinence among quitters. In the long run, multiple contests lead to an average gain of 0.03 QALYs and were cost saving. Incorporating parameter uncertainty into the analyses, the expected INMB was greater than $1000 for any realistic willingness to pay (WTP) for a QALY.

conclusionsAssuming missing values were smoking, multiple contests appear to dominate a single contest from a societal perspective. Funding agencies seeking to promote population health by funding a Quit-and-Win contest in a university setting should strongly consider offering multiple consecutive contests. Further research is needed to evaluate multiple contests compared to no contest.

Indexed as

Computer SimulationCost-Benefit AnalysisHealth PromotionHumansMidwestern United StatesModels, EconometricMonte Carlo MethodMotivationQuality-Adjusted Life YearsSmokingSmoking CessationSmoking PreventionStudentsSurveys and QuestionnairesUnited StatesUniversitiesCollege smokingCost utilityDecision-analytic modelEconomic evaluationFinancial incentivesSmoking cessation

Identifiers

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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.