Evidence map›Paper›PMID 37730738›Full record

ArticleImplementation science communications2023

Stakeholder perceptions of using "opt-out" for tobacco use treatment in a cancer care setting: a qualitative evaluation of patients, providers, and desk staff.

Joshua W Ohde, David O Warner, Jason S Egginton, Hildi J Hagedorn

Open access · goldAbstract read
In one paragraph

Article in Implementation science communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 22% 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, 2 citations in OpenAlex.

  1. No Smoker Left Behind: Evaluation of a Population-Based, Opt-Out Smoking Cessation Program for Patients With Cancer Who Smoke.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    Article
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

4 authors at 2 institutions in 1 country.

Joshua W OhdeCenter for Digital Health, Mayo Clinic, Rochester, MN, USA. ohde.joshua@mayo.edu.ORCID http://orcid.org/0000-0002-4211-4490
David O WarnerDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA.
Jason S EggintonKern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
Hildi J HagedornCenter for Care Delivery & Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA.
Mayo Clinic in Arizona · USMinneapolis VA Health Care System · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
NRSA Training CoreTL1TR002380 · NCATS · MAYO CLINIC ROCHESTER · PI Felicity T. B. Enders, ANTHONY John WINDEBANK · 2017 to 2026
$6.0M
NCATS NIH HHS TL1 TR002380NCI NIH HHS P30 CA015083
6 · The paper itself

Abstract

backgroundContinued tobacco use in cancer patients increases the risk of cancer treatment failure and decreases survival. However, currently, most cancer patients do not receive evidence-based tobacco treatment. A recently proposed "opt-out" approach would automatically refer all cancer patients who use tobacco to tobacco treatment, but its acceptability to cancer patients and providers is unknown. We aimed to understand stakeholder beliefs, concerns, and receptivity to using the "opt-out" approach for tobacco treatment referrals in a cancer care setting.

methodsSemi-structured interviews were conducted with oncology patients, providers, and desk staff. The sample size was determined when theoretical saturation was reached. Given the differences among participant roles, separate interview guides were developed. Transcripts were analyzed using standard coding techniques for qualitative data using the Consolidated Framework for Implementation Research (CFIR) codebook. Emergent codes were added to the codebook to account for themes not represented by a CFIR domain. Coded transcripts were then entered into the qualitative analysis software NVivo to generate code reports for CFIR domains and emergent codes for each stakeholder group. Data were presented by stakeholder group and subcategorized by CFIR domains and emergent codes when appropriate.

resultsA total of 21 providers, 19 patients, and 6 desk staff were interviewed. Overall acceptance of the "opt out" approach was high among all groups. Providers overwhelmingly approved of the approach as it requires little effort from them to operate and saves clinical time. Desk staff supported the opt-out system and believed there are clinical benefits to patients receiving information about tobacco treatment. Many patients expressed support for using an opt-out approach as many smokers need assistance but may not directly ask for it. Patients also thought that providers emphasizing the benefits of stopping tobacco use to cancer treatment and survival would be an important factor motivating them to attend treatment.

conclusionsWhile providers appreciated that the system required little effort on their part, patients clearly indicated that promotion of tobacco cessation treatment by their provider would be vital to enhance willingness to engage with treatment. Future implementation efforts of opt-out systems will require implementation strategies that promote provider engagement with their patients around smoking cessation while continuing to limit burden on providers.

Indexed as

CancerOpt-outTobaccoTobacco treatment

Identifiers

PMID37730738
PMCPMC10510286
OpenAlexW4386891262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.