Recruitment Messages for Current Smokers Recently Diagnosed With Cancer

NCT05471284 | Completed

• 1 other identifier: 2018P002035
• Study Type: interventional
• Target: 99
• Locations: 1 country
• Sites: 1

Brief Summary

The objective of this study was to conduct a pilot factorial randomized trial to identify the message frames that are most effective in promoting participation in a tobacco treatment trial for current smokers recently diagnosed with cancer. To do so, we used a multimethod approach to evaluate 3 different message frames across evaluation, effectiveness, and outcome measures. We combine findings from a message design experiment with textual analytic software to provide a holistic understanding of how message frames may or may not differentially affect tobacco treatment trial participation within the context of a cancer diagnosis.

Conditions

Tobacco Smoking; Health Behavior

Keywords

Cancer; Digital outreach; Multimethod randomized trial; Factorial Design; Message Frames; Tobacco use; Smoker enrollment rates

Outcome Measures

Primary Outcomes (1)

• Difference in intent to talk to a physician about participating in a smoking cessation study between factors.

  The main effect within each message factor level was examined using ANOVA and compared with the control condition.

  Within 30 minutes

Secondary Outcomes (1)

• Predictors of intent to talk to a physician about participating in a smoking cessation study.

  Within 30 minutes

Study Arms (9)

Control

SHAM COMPARATOR

The control condition was a kernel message that included study information present in all conditions but did not include any of the message factors.

Behavioral: Control

Proximal x Cost x Loss

EXPERIMENTAL

Message frame: proximal threats of smoking, cost of continued smoking, and loss of not participating in a tobacco treatment trial.

Behavioral: Proximal; Behavioral: Cost; Behavioral: Loss

Proximal x Cost x Gain

EXPERIMENTAL

Message frame: proximal threats of smoking, cost of continued smoking, and gain of participating in a tobacco treatment trial.

Behavioral: Proximal; Behavioral: Cost; Behavioral: Gain

Proximal x Benefit x Gain

EXPERIMENTAL

Message frame: proximal threats of smoking, benefits of quitting, and gain of participating in a tobacco treatment trial.

Behavioral: Proximal; Behavioral: Benefit; Behavioral: Gain

Proximal x Benefit x Loss

EXPERIMENTAL

Message frame: proximal threats of smoking, benefits of quitting, and loss of not participating in a tobacco treatment trial.

Behavioral: Proximal; Behavioral: Benefit; Behavioral: Loss

Distal x Cost x Gain

EXPERIMENTAL

Message frame: distal threats of smoking, cost of continued smoking, and gain of participating in a tobacco treatment trial.

Behavioral: Distal; Behavioral: Cost; Behavioral: Gain

Distal x Cost x Loss

EXPERIMENTAL

Message frame: distal threats of smoking, cost of continued smoking, and loss of not participating in a tobacco treatment trial.

Behavioral: Distal; Behavioral: Cost; Behavioral: Loss

Distal x Benefit x Loss

EXPERIMENTAL

Message frame: distal threats of smoking, benefits of quitting, and loss of not participating in a tobacco treatment trial.

Behavioral: Distal; Behavioral: Benefit; Behavioral: Loss

Distal x Benefit x Gain

EXPERIMENTAL

Message frame: distal threats of smoking, benefits of quitting, and gain of participating in a tobacco treatment trial.

Behavioral: Distal; Behavioral: Benefit; Behavioral: Gain

Interventions

Proximal BEHAVIORAL

The first factor tested framing of the near, proximal threat of continued smoking.

Proximal x Benefit x Gain; Proximal x Benefit x Loss; Proximal x Cost x Gain; Proximal x Cost x Loss

Distal BEHAVIORAL

The first factor tested framing of the long-term, distal threat of continued smoking.

Distal x Benefit x Gain; Distal x Benefit x Loss; Distal x Cost x Gain; Distal x Cost x Loss

Cost BEHAVIORAL

Cost framework measures the response efficacy to quitting smoking by displaying costs of continued smoking.

Distal x Cost x Gain; Distal x Cost x Loss; Proximal x Cost x Gain; Proximal x Cost x Loss

Benefit BEHAVIORAL

Benefit framework measures the response efficacy to quitting smoking by displaying benefits of quitting.

Distal x Benefit x Gain; Distal x Benefit x Loss; Proximal x Benefit x Gain; Proximal x Benefit x Loss

Loss BEHAVIORAL

The third factor tested framing of the response efficacy of participating in a cessation study by utilizing loss of not participating in a smoking cessation.

Distal x Benefit x Loss; Distal x Cost x Loss; Proximal x Benefit x Loss; Proximal x Cost x Loss

Gain BEHAVIORAL

The third factor tested framing of the response efficacy of participating in a cessation study by utilizing gain of participating in a smoking cessation.

Distal x Benefit x Gain; Distal x Cost x Gain; Proximal x Benefit x Gain; Proximal x Cost x Gain

Control BEHAVIORAL

Does not include any of the three message factors.

Control

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Speak and understand English
• A recent cancer diagnosis (within the past 24 months)
• years or older
• Report any cigarette use within the past 30 days

You may not qualify if:

• Do not speak or understand English
• Have not been diagnosed with cancer within the past 24 months
• Below the age of 18
• Does not report any cigarette use within the past 30 days

Sponsors & Collaborators

• University of Oklahoma: lead
• Tufts University: collaborator
• Massachusetts General Hospital: collaborator
• Memorial Sloan Kettering Cancer Center: collaborator

Study Sites (1)

Jordan Neil

Oklahoma City, Oklahoma, 73104, United States

Location

Related Publications (1)

• Neil JM, Senecal C, Ballini L, Chang Y, Goshe B, Flores E, Ostroff JS, Park ER. A Multimethod Evaluation of Tobacco Treatment Trial Recruitment Messages for Current Smokers Recently Diagnosed With Cancer: Pilot Factorial Randomized Controlled Trial. JMIR Cancer. 2022 Aug 24;8(3):e37526. doi: 10.2196/37526.

  PMID: 36001378 DERIVED

MeSH Terms

Conditions

Tobacco Smoking; Health Behavior; Neoplasms; Tobacco Use

Interventions

Costs and Cost Analysis; Gain of Function Mutation

Condition Hierarchy (Ancestors)

Smoking; Behavior

Intervention Hierarchy (Ancestors)

Economics; Health Care Economics and Organizations; Mutation; Genetic Variation; Genetic Phenomena

Study Officials

• Jordan Neil, Ph.D.

  TSET Health Promotion Research Center

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: SUPPORTIVE CARE
• Intervention Model: FACTORIAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: July 13, 2022
• First Posted: July 22, 2022
• Study Start: February 11, 2019
• Primary Completion: April 1, 2019
• Study Completion: April 2, 2019
• Last Updated: July 22, 2022

Record last verified: 2022-07

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)