#4Corners4Health Social Media Cancer Prevention Campaign for Emerging Adults: Protocol for a Randomized Stepped-Wedge Trial.

HPV vaccination alcohol cancer prevention diet human papillomavirus physical activity rural social media sunburn tobacco control young adults

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
22 Feb 2024
Historique:
received: 29 06 2023
accepted: 02 01 2024
revised: 28 12 2023
medline: 22 2 2024
pubmed: 22 2 2024
entrez: 22 2 2024
Statut: epublish

Résumé

Many emerging adults (EAs) are prone to making unhealthy choices, which increase their risk of premature cancer morbidity and mortality. In the era of social media, rigorous research on interventions to promote health behaviors for cancer risk reduction among EAs delivered over social media is limited. Cancer prevention information and recommendations may reach EAs more effectively over social media than in settings such as health care, schools, and workplaces, particularly for EAs residing in rural areas. This pragmatic randomized trial aims to evaluate a multirisk factor intervention using a social media campaign designed with community advisers aimed at decreasing cancer risk factors among EAs. The trial will target EAs from diverse backgrounds living in rural counties in the Four Corners states of Arizona, Colorado, New Mexico, and Utah. We will recruit a sample of EAs (n=1000) aged 18 to 26 years residing in rural counties (Rural-Urban Continuum Codes 4 to 9) in the Four Corners states from the Qualtrics' research panel and enroll them in a randomized stepped-wedge, quasi-experimental design. The inclusion criteria include English proficiency and regular social media engagement. A social media intervention will promote guideline-related goals for increased physical activity, healthy eating, and human papillomavirus vaccination and reduced nicotine product use, alcohol intake, and solar UV radiation exposure. Campaign posts will cover digital and media literacy skills, responses to misinformation, communication with family and friends, and referral to community resources. The intervention will be delivered over 12 months in Facebook private groups and will be guided by advisory groups of community stakeholders and EAs and focus groups with EAs. The EAs will complete assessments at baseline and at 12, 26, 39, 52, and 104 weeks after randomization. Assessments will measure 6 cancer risk behaviors, theoretical mediators, and participants' engagement with the social media campaign. The trial is in its start-up phase. It is being led by a steering committee. Team members are working in 3 subcommittees to optimize community engagement, the social media intervention, and the measures to be used. The Stakeholder Organization Advisory Board and Emerging Adult Advisory Board were formed and provided initial input on the priority of cancer risk factors to target, social media use by EAs, and community resources available. A framework for the social media campaign with topics, format, and theoretical mediators has been created, along with protocols for campaign management. Social media can be used as a platform to counter misinformation and improve reliable health information to promote health behaviors that reduce cancer risks among EAs. Because of the popularity of web-based information sources among EAs, an innovative, multirisk factor intervention using a social media campaign has the potential to reduce their cancer risk behaviors. ClinicalTrials.gov NCT05618158; https://classic.clinicaltrials.gov/ct2/show/NCT05618158. PRR1-10.2196/50392.

Sections du résumé

BACKGROUND BACKGROUND
Many emerging adults (EAs) are prone to making unhealthy choices, which increase their risk of premature cancer morbidity and mortality. In the era of social media, rigorous research on interventions to promote health behaviors for cancer risk reduction among EAs delivered over social media is limited. Cancer prevention information and recommendations may reach EAs more effectively over social media than in settings such as health care, schools, and workplaces, particularly for EAs residing in rural areas.
OBJECTIVE OBJECTIVE
This pragmatic randomized trial aims to evaluate a multirisk factor intervention using a social media campaign designed with community advisers aimed at decreasing cancer risk factors among EAs. The trial will target EAs from diverse backgrounds living in rural counties in the Four Corners states of Arizona, Colorado, New Mexico, and Utah.
METHODS METHODS
We will recruit a sample of EAs (n=1000) aged 18 to 26 years residing in rural counties (Rural-Urban Continuum Codes 4 to 9) in the Four Corners states from the Qualtrics' research panel and enroll them in a randomized stepped-wedge, quasi-experimental design. The inclusion criteria include English proficiency and regular social media engagement. A social media intervention will promote guideline-related goals for increased physical activity, healthy eating, and human papillomavirus vaccination and reduced nicotine product use, alcohol intake, and solar UV radiation exposure. Campaign posts will cover digital and media literacy skills, responses to misinformation, communication with family and friends, and referral to community resources. The intervention will be delivered over 12 months in Facebook private groups and will be guided by advisory groups of community stakeholders and EAs and focus groups with EAs. The EAs will complete assessments at baseline and at 12, 26, 39, 52, and 104 weeks after randomization. Assessments will measure 6 cancer risk behaviors, theoretical mediators, and participants' engagement with the social media campaign.
RESULTS RESULTS
The trial is in its start-up phase. It is being led by a steering committee. Team members are working in 3 subcommittees to optimize community engagement, the social media intervention, and the measures to be used. The Stakeholder Organization Advisory Board and Emerging Adult Advisory Board were formed and provided initial input on the priority of cancer risk factors to target, social media use by EAs, and community resources available. A framework for the social media campaign with topics, format, and theoretical mediators has been created, along with protocols for campaign management.
CONCLUSIONS CONCLUSIONS
Social media can be used as a platform to counter misinformation and improve reliable health information to promote health behaviors that reduce cancer risks among EAs. Because of the popularity of web-based information sources among EAs, an innovative, multirisk factor intervention using a social media campaign has the potential to reduce their cancer risk behaviors.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT05618158; https://classic.clinicaltrials.gov/ct2/show/NCT05618158.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
PRR1-10.2196/50392.

Identifiants

pubmed: 38386396
pii: v13i1e50392
doi: 10.2196/50392
doi:

Banques de données

ClinicalTrials.gov
['NCT05618158']

Types de publication

Journal Article

Langues

eng

Pagination

e50392

Informations de copyright

©David B Buller, Andrew L Sussman, Cynthia A Thomson, Deanna Kepka, Douglas Taren, Kimberly L Henry, Echo L Warner, Barbara J Walkosz, W Gill Woodall, Kayla Nuss, Cindy K Blair, Dolores D Guest, Evelinn A Borrayo, Judith S Gordon, Jennifer Hatcher, David W Wetter, Alishia Kinsey, Christopher F Jones, Angela K Yung, Kaila Christini, Julia Berteletti, John A Torres, Emilia Yessenya Barraza Perez, Annelise Small. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 22.02.2024.

Auteurs

David B Buller (DB)

Klein Buendel, Golden, CO, United States.

Andrew L Sussman (AL)

University of New Mexico Comprehensive Cancer Care Center, Albuquerque, NM, United States.

Cynthia A Thomson (CA)

Department of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States.

Deanna Kepka (D)

College of Nursing and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.

Douglas Taren (D)

Section of Nutrition, University of Colorado Denver, Aurora, CO, United States.

Kimberly L Henry (KL)

Department of Psychology, College of Natural Sciences, Colorado State University, Fort Collins, CO, United States.

Echo L Warner (EL)

College of Nursing and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.

Barbara J Walkosz (BJ)

Klein Buendel, Golden, CO, United States.

W Gill Woodall (WG)

Klein Buendel, Golden, CO, United States.

Kayla Nuss (K)

Klein Buendel, Golden, CO, United States.

Cindy K Blair (CK)

University of New Mexico Comprehensive Cancer Care Center, Albuquerque, NM, United States.

Dolores D Guest (DD)

University of New Mexico Comprehensive Cancer Care Center, Albuquerque, NM, United States.

Evelinn A Borrayo (EA)

University of Colorado Cancer Center, University of Colorado Denver, Aurora, CO, United States.

Judith S Gordon (JS)

College of Nursing, University of Arizona, Tucson, AZ, United States.

Jennifer Hatcher (J)

Cancer Center, University of Arizona, Tucson, AZ, United States.

David W Wetter (DW)

Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.
Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.

Alishia Kinsey (A)

Klein Buendel, Golden, CO, United States.

Christopher F Jones (CF)

University of Colorado Cancer Center, University of Colorado Denver, Aurora, CO, United States.

Angela K Yung (AK)

College of Medicine, University of Arizona, Tucson, AZ, United States.

Kaila Christini (K)

Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.

Julia Berteletti (J)

Klein Buendel, Golden, CO, United States.

John A Torres (JA)

University of New Mexico Comprehensive Cancer Care Center, Albuquerque, NM, United States.

Emilia Yessenya Barraza Perez (EY)

Department of Medicine, University of Arizona Cancer Center, Tucson, AZ, United States.

Annelise Small (A)

Klein Buendel, Golden, CO, United States.

Classifications MeSH