Evidence map›Paper›PMID 35251914›Full record

ArticlePreventive medicine reports2022

Feasibility of a primary care patient decision aid for smoking cessation with information about e-cigarettes.

Jennifer H LeLaurin, James F Thrasher, Scott M Strayer, John Malaty, Christy Kollath-Cattano, Maribeth Williams, Oliver T Nguyen, Allie M Kellner, James M Smith, Ramzi G Salloum

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

10 authors at 4 institutions in 1 country.

Jennifer H LeLaurinDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
James F ThrasherDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Scott M StrayerDepartment of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
John MalatyDepartment of Community Health and Family Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Christy Kollath-CattanoDepartment of Health and Human Performance, College of Charleston, Charleston, SC, USA.
Maribeth WilliamsDepartment of Community Health and Family Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Oliver T NguyenDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
Allie M KellnerDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
James M SmithDivision of General Internal Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Ramzi G SalloumDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
University of Florida · USCollege of Charleston · USUniversity of South Carolina · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decision aids can promote shared decision making and behavior change and may be effective in helping patients quit smoking. Patients are increasingly using e-cigarettes for smoking cessation; however, little is known about the impact of including e-cigarette information in smoking cessation decision aids. Our objective was to assess the feasibility and acceptability of a smoking cessation decision aid including e-cigarette information. This study was conducted at one family medicine clinic in the United States. We used a pre-post design. In Phase I, the decision aid presented information about approved cessation methods. In Phase II, current e-cigarette users and patients with no intention of quitting received additional information on switching to e-cigarettes. We assessed the impact of the decision aids on quit attempts and abstinence, confidence and readiness to quit, confidence and readiness to switch to e-cigarettes, and patient satisfaction. We enrolled 60 patients in each phase (N = 120). Patients reported higher confidence and readiness to quit after viewing the decision aids and consulting with their physician (p < 0.01). Patients reported the decision aid helped prepare them to make a decision about quitting smoking and expressed satisfaction with the decision aid and clinician consultation. We did not observe an impact of including e-cigarette information. Smoking cessation decision aids are acceptable to patients and may promote behavior change. Future studies should explore the impact of providing patients e-cigarette information using larger sample sizes and rigorous designs. Further research is needed to identify strategies to promote shared decision-making regarding e-cigarettes.

Indexed as

Decision aidsE-cigarettesFDA, U.S. Food & Drug AdministrationHTP, Heated tobacco productsNRT, Nicotine replacement therapyShared decision-makingVaping

Identifiers

PMID35251914
PMCPMC8892147
OpenAlexW4214677701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.