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Prokhorov AV, Calabro KS, Arya A, Russell S, Czerniak KW, Botello GC, Chen M, Yuan Y, Perez A, Vidrine DJ, Perry CL, Khalil GE. Mobile Text Messaging for Tobacco Risk Communication Among Young Adult Community College Students: Randomized Trial of Project Debunk. JMIR Mhealth Uhealth 2021; 9:e25618. [PMID: 34822339 PMCID: PMC8663493 DOI: 10.2196/25618] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 04/19/2021] [Accepted: 10/08/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The use of new and emerging tobacco products (NETPs) and conventional tobacco products (CTPs) has been linked to several alarming medical conditions among young adults (YAs). Considering that 96% of YAs own mobile phones, SMS text messaging may be an effective strategy for tobacco risk communication. OBJECTIVE Project Debunk is a community-based randomized trial aiming to identify specific types of messages that effectively improve perceived NETP and CTP risk among YAs in community colleges. METHODS With YAs recruited offline from 3 campuses at the Houston Community College (September 2016 to July 2017), we conducted a 6-month randomized trial with 8 arms based on the combination of 3 message categories: framing (gain-framed vs loss-framed), depth (simple vs complex), and appeal (emotional vs rational). Participants received fully automated web-based SMS text messages in two 30-day campaigns (2 messages per day). We conducted repeated-measures mixed-effect models stratified by message type received, predicting perceived CTP and NETP risks. Owing to multiple testing with 7 models, an association was deemed significant for P<.007 (.05 divided by 7). RESULTS A total of 636 participants completed the baseline survey, were randomized to 1 of 8 conditions (between 73 and 86 participants per condition), and received messages from both campaigns. By the 2-month post campaign 2 assessment point, 70.1% (446/636) completed all outcome measures. By the end of both campaigns, participants had a significant increase in perceived NETP risk over time (P<.001); however, participants had a marginal increase in perceived CTP risk (P=.008). Separately for each group, there was a significant increase in perceived NETP risk among participants who received rational messages (P=.005), those who received emotional messages (P=.006), those who received simple messages (P=.003), and those who received gain-framed messages (P=.003). CONCLUSIONS In this trial, YAs had an increase in perceived NETP risk. However, with stratification, we observed a significant increase in perceived NETP risk upon exposure to rational, emotional, simple, and gain-framed messages. In addition, YAs generally had an increase in perceived CTP risk and presented nonsignificant but observable improvement upon exposure to emotional, complex, and loss-framed messages. With the results of this study, researchers and practitioners implementing mobile health programs may take advantage of our tailored messages through larger technology-based programs such as smartphone apps and social media campaigns. TRIAL REGISTRATION ClinicalTrials.gov NCT03457480; https://clinicaltrials.gov/ct2/show/NCT03457480. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/10977.
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Affiliation(s)
- Alexander V Prokhorov
- Department of Behavioral Science, MD Anderson Cancer Center, The University of Texas, Houston, TX, United States
| | - Karen Sue Calabro
- Department of Behavioral Science, MD Anderson Cancer Center, The University of Texas, Houston, TX, United States
| | - Ashish Arya
- Department of Behavioral Science, MD Anderson Cancer Center, The University of Texas, Houston, TX, United States
| | - Sophia Russell
- Department of Health Disparities, MD Anderson Cancer Center, The University of Texas, Houston, TX, United States
| | - Katarzyna W Czerniak
- Department of Behavioral Science, MD Anderson Cancer Center, The University of Texas, Houston, TX, United States
| | - Gabrielle C Botello
- Department of Health Services Research, MD Anderson Cancer Center, The University of Texas, Houston, TX, United States
| | - Minxing Chen
- Department of Biostatistics, MD Anderson Cancer Center, The University of Texas, Houston, TX, United States
| | - Ying Yuan
- Department of Biostatistics, MD Anderson Cancer Center, The University of Texas, Houston, TX, United States
| | - Adriana Perez
- Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center, Austin, TX, United States
| | - Damon J Vidrine
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, United States
| | - Cheryl L Perry
- School of Public Health, Health Science Center, University of Texas, Austin, TX, United States
| | - Georges Elias Khalil
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States
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Waters EA, Maki J, Liu Y, Ackermann N, Carter CR, Dart H, Bowen DJ, Cameron LD, Colditz GA. Risk Ladder, Table, or Bulleted List? Identifying Formats That Effectively Communicate Personalized Risk and Risk Reduction Information for Multiple Diseases. Med Decis Making 2020; 41:74-88. [PMID: 33106087 DOI: 10.1177/0272989x20968070] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Personalized medicine may increase the amount of probabilistic information patients encounter. Little guidance exists about communicating risk for multiple diseases simultaneously or about communicating how changes in risk factors affect risk (hereafter "risk reduction"). PURPOSE To determine how to communicate personalized risk and risk reduction information for up to 5 diseases associated with insufficient physical activity in a way laypeople can understand and that increases intentions. METHODS We recruited 500 participants with <150 min weekly of physical activity from community settings. Participants completed risk assessments for diabetes, heart disease, stroke, colon cancer, and breast cancer (women only) on a smartphone. Then, they were randomly assigned to view personalized risk and risk reduction information organized as a bulleted list, a simplified table, or a specialized vertical bar graph ("risk ladder"). Last, they completed a questionnaire assessing outcomes. Personalized risk and risk reduction information was presented as categories (e.g., "very low"). Our analytic sample (N = 372) included 41.3% individuals from underrepresented racial/ethnic backgrounds, 15.9% with vocational-technical training or less, 84.7% women, 43.8% aged 50 to 64 y, and 71.8% who were overweight/obese. RESULTS Analyses of covariance with post hoc comparisons showed that the risk ladder elicited higher gist comprehension than the bulleted list (P = 0.01). There were no significant main effects on verbatim comprehension or physical activity intentions and no moderation by sex, race/ethnicity, education, numeracy, or graph literacy (P > 0.05). Sequential mediation analyses revealed a small beneficial indirect effect of risk ladder versus list on intentions through gist comprehension and then through perceived risk (bIndirectEffect = 0.02, 95% confidence interval: 0.00, 0.04). CONCLUSION Risk ladders can communicate the gist meaning of multiple pieces of risk information to individuals from many sociodemographic backgrounds and with varying levels of facility with numbers and graphs.
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Affiliation(s)
- Erika A Waters
- Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | - Julia Maki
- Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | - Ying Liu
- Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | - Nicole Ackermann
- Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | - Chelsey R Carter
- Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | - Hank Dart
- Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | | | | | - Graham A Colditz
- Department of Surgery, Division of Public Health Sciences, Washington University in St. Louis, Saint Louis, MO, USA
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mHealth smoking cessation intervention among high school students: 3-month primary outcome findings from a randomized controlled trial. PLoS One 2020; 15:e0229411. [PMID: 32142514 PMCID: PMC7059915 DOI: 10.1371/journal.pone.0229411] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 02/05/2020] [Indexed: 11/20/2022] Open
Abstract
Background Smoking among adolescents remains a global public health issue as youth continue to maintain high prevalence rates. The evidence for the efficacy of text messaging interventions to reduce smoking behavior is well established, yet there is still a need for studies targeting high school students. The aim of the study was to determine the effectiveness of a text-based smoking cessation intervention among high school students in Sweden. Methods The study was a two-arm randomized trial conducted from January 10 2018 to January 11 2019, data were analysed from April 12 2019 to May 21 2019. Inclusion criteria were high school students who were daily or weekly smokers willing to attempt to quit smoking and owned a mobile phone. The study invited all students at 630 high schools units throughout Sweden. The intervention group received text messages based on components of effective smoking cessation interventions for 12 weeks. The control group were offered treatment as usual. The primary outcomes were self-reported prolonged abstinence (not having smoked more than 5 cigarettes over the last 8 weeks) and 4-week point prevalence of smoking abstinence. Findings A total of 535 participants, with a median age of 17 (IQR 16–18), were randomized into the study; 276 (164 [59.4%] women) were allocated to the intervention and 259 (162 [62.5%] women) to the control group. The outcomes of the trial were analyzed on a total of 212 (76.8%) participants in the intervention group and 201 (77.6%) participants in the control group. Prolonged abstinence at the 3-month follow-up was reported by 49 (23.1%) individuals in the intervention group and 39 (19.4%) individuals in the control group (adjusted OR, 1.21; 95% CI, 0.73–2.01; P value, .46). Four-week point prevalence of complete smoking cessation was reported by 53 (25.0%) individuals in the intervention group and 31 (15.4%) individuals in the control group (adjusted OR, 1.87; 95% CI, 1.12–3.17; P value, .018). Conclusions Estimates of 4-week point prevalence of complete cessation was 10 percentage points higher in the group that were given access to the intervention compared to the control. Findings provide confirmation that text messaging-based smoking cessation programs can affect quit rates among adolescents. Trial registration ISRCTN15396225; registration date October 13, 2017, https://trialsjournal.biomedcentral.com/articles/10.1186/s13063-018-3028-2.
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