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Recruitment Messages for Current Smokers Recently Diagnosed With Cancer

20 juillet 2022 mis à jour par: University of Oklahoma

A Multimethod Evaluation of Tobacco Treatment Trial Recruitment Messages for Current Smokers Recently Diagnosed With Cancer: Pilot Factorial Randomized Controlled Trial

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.

Aperçu de l'étude

Description détaillée

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.

Type d'étude

Interventionnel

Inscription (Réel)

99

Phase

  • N'est pas applicable

Contacts et emplacements

Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.

Lieux d'étude

    • Oklahoma
      • Oklahoma City, Oklahoma, États-Unis, 73104
        • Jordan Neil

Critères de participation

Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.

Critère d'éligibilité

Âges éligibles pour étudier

18 ans et plus (Adulte, Adulte plus âgé)

Accepte les volontaires sains

Oui

Sexes éligibles pour l'étude

Tout

La description

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

Plan d'étude

Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.

Comment l'étude est-elle conçue ?

Détails de conception

  • Objectif principal: Soins de soutien
  • Répartition: Randomisé
  • Modèle interventionnel: Affectation factorielle
  • Masquage: Aucun (étiquette ouverte)

Armes et Interventions

Groupe de participants / Bras
Intervention / Traitement
Comparateur factice: 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.
Expérimental: 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.
Expérimental: 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.
Expérimental: 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.
Expérimental: 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.
Expérimental: 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.
Expérimental: 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.
Expérimental: 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.
Expérimental: 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.

Que mesure l'étude ?

Principaux critères de jugement

Mesure des résultats
Description de la mesure
Délai
Difference in intent to talk to a physician about participating in a smoking cessation study between factors.
Délai: Within 30 minutes
The main effect within each message factor level was examined using ANOVA and compared with the control condition.
Within 30 minutes

Mesures de résultats secondaires

Mesure des résultats
Description de la mesure
Délai
Predictors of intent to talk to a physician about participating in a smoking cessation study.
Délai: 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

Collaborateurs et enquêteurs

C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.

Les enquêteurs

  • Chercheur principal: Jordan Neil, Ph.D., TSET Health Promotion Research Center

Publications et liens utiles

La personne responsable de la saisie des informations sur l'étude fournit volontairement ces publications. Il peut s'agir de tout ce qui concerne l'étude.

Dates d'enregistrement des études

Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.

Dates principales de l'étude

Début de l'étude (Réel)

11 février 2019

Achèvement primaire (Réel)

1 avril 2019

Achèvement de l'étude (Réel)

2 avril 2019

Dates d'inscription aux études

Première soumission

13 juillet 2022

Première soumission répondant aux critères de contrôle qualité

20 juillet 2022

Première publication (Réel)

22 juillet 2022

Mises à jour des dossiers d'étude

Dernière mise à jour publiée (Réel)

22 juillet 2022

Dernière mise à jour soumise répondant aux critères de contrôle qualité

20 juillet 2022

Dernière vérification

1 juillet 2022

Plus d'information

Termes liés à cette étude

Plan pour les données individuelles des participants (IPD)

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Informations sur les médicaments et les dispositifs, documents d'étude

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Non

Étudie un produit d'appareil réglementé par la FDA américaine

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