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
調査の概要
詳細な説明
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.
研究の種類
入学 (実際)
段階
- 適用できない
連絡先と場所
研究場所
-
-
Oklahoma
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Oklahoma City、Oklahoma、アメリカ、73104
- Jordan Neil
-
-
参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
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
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:支持療法
- 割り当て:ランダム化
- 介入モデル:階乗代入
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
|
偽コンパレータ: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.
|
|
実験的: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.
|
|
実験的: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.
|
|
実験的: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.
|
|
実験的: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.
|
|
実験的: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.
|
|
実験的: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.
|
|
実験的: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.
|
|
実験的: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.
|
この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Difference in intent to talk to a physician about participating in a smoking cessation study between factors.
時間枠: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.
|
Within 30 minutes
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Predictors of intent to talk to a physician about participating in a smoking cessation study.
時間枠: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
|
協力者と研究者
スポンサー
捜査官
- 主任研究者:Jordan Neil, Ph.D.、TSET Health Promotion Research Center
出版物と役立つリンク
研究記録日
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研究開始 (実際)
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
キーワード
その他の研究ID番号
- 2018P002035
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