Evidence map›Paper›PMID 35906990›Full record

Trial reportNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2022

A Psychometric Evaluation of the Stanford Expectations of Treatment Scale (SETS) in the Context of a Smoking Cessation Trial.

Adam C Ferkin, Sarah S Tonkin, Eugene Maguin, Martin C Mahoney, Craig R Colder, Stephen T Tiffany, Larry W Hawk

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03262662 (EVarQuit), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 24% 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.

NCT03262662 phase3completednot on this map

EVarQuit: Extended Pre-quit Varenicline to Assist in Quitting Smoking

TypeinterventionalSponsorState University of New York at BuffaloRan2017 to 2021Enrolled320ConditionsTobacco SmokingArmsVarenicline, Brief smoking cessation counseling
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

7 authors at 2 institutions in 1 country.

Adam C FerkinDepartment of Psychology, University at Buffalo, Suny, Buffalo, NY, USA.ORCID 0000-0001-7854-8963
Sarah S TonkinDepartment of Psychology, University at Buffalo, Suny, Buffalo, NY, USA.ORCID 0000-0001-5638-4363
Eugene MaguinDepartment of Psychology, University at Buffalo, Suny, Buffalo, NY, USA.
Martin C MahoneyDepartment of Internal Medicine and Health Behavior, Roswell Park Cancer Institute, Buffalo, NY, USA.
Craig R ColderDepartment of Psychology, University at Buffalo, Suny, Buffalo, NY, USA.
Stephen T TiffanyDepartment of Psychology, University at Buffalo, Suny, Buffalo, NY, USA.
Larry W HawkDepartment of Psychology, University at Buffalo, Suny, Buffalo, NY, USA.ORCID 0000-0001-6593-9746
University at Buffalo, State University of New York · USRoswell Park Comprehensive Cancer Center · US

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
EVarQuit: Extinguishing cigarette smoking via extended pre-quit vareniclineR01CA206193 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI HAWK, LARRY W, MAHONEY, MARTIN CHRISTOPHER · 2017 to 2021
$3.7M
NCATS NIH HHS UL1 TR001412NCI NIH HHS R01 CA206193
6 · The paper itself

Abstract

introductionAlthough treatment outcome expectancies (TOEs) may influence clinical outcomes, TOEs are rarely reported in the smoking cessation literature, in part because of the lack of validated measures. Therefore, we conducted a psychometric evaluation of TOEs scores with the Stanford Expectations of Treatment Scale (SETS) in the context of a smoking cessation clinical trial.

methodsParticipants were 320 adults enrolled in a randomized controlled trial of extended versus standard pre-quit varenicline treatment for smoking cessation (clinicaltrials.gov ID: NCT03262662). Across an 8-week treatment period, we examined the nature and stability of the factor structure using confirmatory factor analysis (CFA), evaluated discriminant validity by examining correlations with abstinence self-efficacy and positive/negative affect (PA/NA), and assessed internal consistency and test-retest reliability of SETS scores.

resultsCFAs supported a 2-factor structure that was stable (ie, invariant) across weeks. Positive and negative TOEs were each reflected in three-item subscales that exhibited acceptable to excellent internal consistency (Cronbach's alphas ≥ .77). Positive and negative TOEs were modestly correlated with PA and NA (all |rs| <.27, p < .05). Positive TOEs, but not negative TOEs, were moderately correlated with abstinence self-efficacy (rs = .45 to .61, p < .01). Both positive and negative TOEs scores demonstrated moderate test-retest reliability between assessments (rs = .54 to .72).

conclusionsSETS scores generally reflect a valid and reliable assessment of positive and negative TOEs in a sample of adults enrolled in a smoking cessation trial. The SETS appears to be a reasonable option for assessing TOEs in future smoking treatment studies. IMPLICATIONS: Assessments of treatment outcome expectancies are rarely reported in the smoking cessation literature. The present results support the validity and reliability of the SETS scores among adults seeking treatment for their smoking behavior.

Indexed as

Smoking CessationAdultHumansMotivationPsychometricsReproducibility of ResultsVareniclineVarenicline

Identifiers

PMID35906990
PMCPMC9653073
OpenAlexW4288902550

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.