- ICH GCP
- US Clinical Trials Registry
- Klinisk forsøg NCT05471284
Recruitment Messages for Current Smokers Recently Diagnosed With Cancer
A Multimethod Evaluation of Tobacco Treatment Trial Recruitment Messages for Current Smokers Recently Diagnosed With Cancer: Pilot Factorial Randomized Controlled Trial
Studieoversigt
Status
Betingelser
Detaljeret beskrivelse
Background: A cancer diagnosis can catalyze motivation to quit smoking. Tobacco treatment trials offer cessation resources but have low accrual rates. Digital outreach may improve accrual, but knowledge of how best to recruit smokers with recent diagnoses is limited.
Objective: This study aims to identify the message frames that were most effective in promoting intent to talk to a physician about participating in a tobacco treatment trial for smokers recently diagnosed with cancer.
Methods: From February to April 2019, current smokers diagnosed within the past 24 months were recruited from a national web-based panel for a multimethod pilot randomized trial (N=99). Participants were randomized to a 2×3 plus control factorial design that tested 3 unique message frames: proximal versus distal threats of smoking, costs of continued smoking versus benefits of quitting, and gains of participating versus losses of not participating in a tobacco treatment trial.
Undersøgelsestype
Tilmelding (Faktiske)
Fase
- Ikke anvendelig
Kontakter og lokationer
Studiesteder
-
-
Oklahoma
-
Oklahoma City, Oklahoma, Forenede Stater, 73104
- Jordan Neil
-
-
Deltagelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
Tager imod sunde frivillige
Køn, der er berettiget til at studere
Beskrivelse
Inclusion Criteria:
- Speak and understand English
- A recent cancer diagnosis (within the past 24 months)
- 18 years or older
- Report any cigarette use within the past 30 days
Exclusion Criteria:
- 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
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Støttende pleje
- Tildeling: Randomiseret
- Interventionel model: Faktoriel opgave
- Maskning: Ingen (Åben etiket)
Våben og indgreb
Deltagergruppe / Arm |
Intervention / Behandling |
|---|---|
|
Sham-komparator: Control
The control condition was a kernel message that included study information present in all conditions but did not include any of the message factors.
|
Does not include any of the three message factors.
|
|
Eksperimentel: Proximal x Cost x Loss
Message frame: proximal threats of smoking, cost of continued smoking, and loss of not participating in a tobacco treatment trial.
|
The first factor tested framing of the near, proximal threat of continued smoking.
Cost framework measures the response efficacy to quitting smoking by displaying costs of continued smoking.
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.
|
|
Eksperimentel: Proximal x Cost x Gain
Message frame: proximal threats of smoking, cost of continued smoking, and gain of participating in a tobacco treatment trial.
|
The first factor tested framing of the near, proximal threat of continued smoking.
Cost framework measures the response efficacy to quitting smoking by displaying costs of continued smoking.
The third factor tested framing of the response efficacy of participating in a cessation study by utilizing gain of participating in a smoking cessation.
|
|
Eksperimentel: Proximal x Benefit x Gain
Message frame: proximal threats of smoking, benefits of quitting, and gain of participating in a tobacco treatment trial.
|
The first factor tested framing of the near, proximal threat of continued smoking.
The third factor tested framing of the response efficacy of participating in a cessation study by utilizing gain of participating in a smoking cessation.
Benefit framework measures the response efficacy to quitting smoking by displaying benefits of quitting.
|
|
Eksperimentel: Proximal x Benefit x Loss
Message frame: proximal threats of smoking, benefits of quitting, and loss of not participating in a tobacco treatment trial.
|
The first factor tested framing of the near, proximal threat of continued smoking.
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.
Benefit framework measures the response efficacy to quitting smoking by displaying benefits of quitting.
|
|
Eksperimentel: Distal x Cost x Gain
Message frame: distal threats of smoking, cost of continued smoking, and gain of participating in a tobacco treatment trial.
|
Cost framework measures the response efficacy to quitting smoking by displaying costs of continued smoking.
The third factor tested framing of the response efficacy of participating in a cessation study by utilizing gain of participating in a smoking cessation.
The first factor tested framing of the long-term, distal threat of continued smoking.
|
|
Eksperimentel: Distal x Cost x Loss
Message frame: distal threats of smoking, cost of continued smoking, and loss of not participating in a tobacco treatment trial.
|
Cost framework measures the response efficacy to quitting smoking by displaying costs of continued smoking.
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.
The first factor tested framing of the long-term, distal threat of continued smoking.
|
|
Eksperimentel: Distal x Benefit x Loss
Message frame: distal threats of smoking, benefits of quitting, and loss of not participating in a tobacco treatment trial.
|
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.
Benefit framework measures the response efficacy to quitting smoking by displaying benefits of quitting.
The first factor tested framing of the long-term, distal threat of continued smoking.
|
|
Eksperimentel: Distal x Benefit x Gain
Message frame: distal threats of smoking, benefits of quitting, and gain of participating in a tobacco treatment trial.
|
The third factor tested framing of the response efficacy of participating in a cessation study by utilizing gain of participating in a smoking cessation.
Benefit framework measures the response efficacy to quitting smoking by displaying benefits of quitting.
The first factor tested framing of the long-term, distal threat of continued smoking.
|
Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
Difference in intent to talk to a physician about participating in a smoking cessation study between factors.
Tidsramme: Within 30 minutes
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The main effect within each message factor level was examined using ANOVA and compared with the control condition.
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Within 30 minutes
|
Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
Predictors of intent to talk to a physician about participating in a smoking cessation study.
Tidsramme: Within 30 minutes
|
Other message evaluation and effectiveness measures were collected and explored in a multivariable model predicting intent to talk to a physician.
|
Within 30 minutes
|
Samarbejdspartnere og efterforskere
Sponsor
Samarbejdspartnere
Efterforskere
- Ledende efterforsker: Jordan Neil, Ph.D., TSET Health Promotion Research Center
Publikationer og nyttige links
Datoer for undersøgelser
Studer store datoer
Studiestart (Faktiske)
Primær færdiggørelse (Faktiske)
Studieafslutning (Faktiske)
Datoer for studieregistrering
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Nøgleord
Andre undersøgelses-id-numre
- 2018P002035
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
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