scholarly journals Mobile Text Messaging for Tobacco Risk Communication among Young-Adult Community College Students: A Randomized Trial of Project DEBUNK (Preprint)

2020 ◽  
Author(s):  
Alexander V Prokhorov ◽  
Georges E Khalil ◽  
Karen Sue Calabro ◽  
Ashish Arya ◽  
Sophia Russell ◽  
...  
Keyword(s):  
Community College ◽  
Randomized Trial ◽  
Risk Communication ◽  
Repeated Measures ◽  
Perceived Risk ◽  
Text Messaging ◽  
Text Messages ◽  
Baseline Survey ◽  
Mixed Effect ◽  
Tobacco Products

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 nearly all YAs (96%) own mobile phones, mobile phone text messaging is likely to be an effective strategy for tobacco risk communication. OBJECTIVE The objective of the current paper is to present the results of Project Debunk, a community-based randomized trial aimed to identify specific types of messages that are more effective than others in increasing the perceived risk of NETP use and CTP use among YAs in community college. METHODS With YAs recruited offline from three campuses at the Houston Community College (September 2016 – July 2017), we conducted a 6-month randomized trial with eight arms, based on the combination of three message categories: framing (gain-framed versus loss-framed), depth (simple versus complex), and appeal (emotional versus rational). Participants received fully automated online text messages in two 30-day long campaigns, consisting of 2 text messages per day. We conducted repeated-measures mixed-effect models predicting perceived CTP and NETP risks. RESULTS A total of 636 participants completed the baseline survey, were randomized to 1 of the 8 conditions (between 73 and 86 participants per condition), and received the text messages from both campaigns. However, 70.12% (446/636) completed all outcome measures at the two-month post-campaign 2 assessment. By the end of both campaigns, participants significantly increased in perceived NETP risk (P<.0001). Although not significant at the 0.007 level, participants increased in perceived CTP risk (P=.008). There was a significant increase at the 0.007 level in perceived NETP risk among participants who received rational messages (P=.005), simple messages (P=.003), and gain-framed messages about NETPs (p=0.003). There was an increase in perceived CTP risk at the 0.05 level of significance among participants who received emotional messages (P=.010), those who received complex messages (P=.026), and those who received loss-framed messages (P=.012). CONCLUSIONS In this trial, YAs increased in perceived NETP risk regardless of the type of message received. However, with stratification, we observed a significant increase in perceived NETP risk upon exposure to rational, simple, and gain-framed messages. In addition, YAs generally increased in perceived CTP risk, particularly upon exposure to emotional, complex, and loss-framed messages. With the results of this study, researchers and practitioners implementing mobile health (mHealth) programs may take advantage of our tailored messages through larger technology-based programs such as smartphone applications and social media campaigns. CLINICALTRIAL This trial was registered at the Clinical Trials registry, NCT03457480; https://clinicaltrials.gov/ct2/show/NCT03457480?term=NCT03457480&rank=1 (Archived by WebCite at http://www.webcitation.org/6ykd4IIap). INTERNATIONAL REGISTERED REPORT RR2-10.2196/10977

scholarly journals Mobile Phone Text Messaging for Tobacco Risk Communication among Young Adult Community College Students: Protocol and Baseline Overview for a Randomized Trial (Preprint)

2018 ◽  
Author(s):  
Alexander V. Prokhorov ◽  
Georges Elias Khalil ◽  
Karen Sue Calabro ◽  
Tamara Costello Machado ◽  
Sophia C. Russel ◽  
...  
Keyword(s):  
Community College ◽  
Young Adults ◽  
Randomized Trial ◽  
Risk Communication ◽  
Tobacco Use ◽  
Perceived Risk ◽  
Text Messaging ◽  
Electronic Cigarettes ◽  
Text Messages ◽  
Message Structure

BACKGROUND Young adults in community college represent an underserved population susceptible to tobacco use. The use of mobile health (mHealth) text messaging may be an effective strategy for tobacco risk communication with diverse young adults. However, the message structure that is most capable of increasing perceived tobacco risk is still not known. OBJECTIVE The current research protocol outlines the rationale and design of Project Debunk, a randomized trial comparing the effects of different structures of text messages. METHODS The study is being conducted as a 6-month long randomized trial comparing eight arms, based on the combination of the three message structures delivered to young adults in a 2x2x2 study design: framing (gain-framed or loss-framed), depth (simple or complex), and appeal (emotional or rational). Participants were invited to participate from three community colleges in Houston from September 2016 through July 2017. Participants are randomized to one arm, and receive text messages in two separate campaigns. Each campaign consists of two text messages per day for 30 days (i.e., 60 messages). In addition to baseline assessment, perceived risk is assessed two months after the first campaign, and two months after the second campaign. We assessed perceived risk of using conventional products (e.g., combustible cigarettes) and new and emerging products (e.g., electronic cigarettes). RESULTS We completed data collection for the baseline survey on a rolling basis during this time, and assessed validity of the message structure after one week of messages. For the entire sample (n=636), the average age was 20.92 years (SD=2.52); about two-thirds were female, and most were black/African American (n=266/636; 41.2%) or white/Caucasian (n=239/636; 37.0%). After one week of receiving messages: (1) loss-framed messages were more likely to be perceived as presenting a loss than gain-framed messages (F=13.21, P<0.001), (2) complex messages were perceived to be more complex than simple messages (F=2.03, P=0.049), and (3) emotional messages were perceived to be more emotionally involving than rational messages (F=6.35, P<0.001). CONCLUSIONS This study confirms that the recruitment, randomization methods, and message structures, have been successfully implemented for this randomized trial. The findings will be able to identify specific types of message combinations that are more effective than others in increasing perceived risk of tobacco use. If our results suggest that any of the eight specific text message structures is more effective for helping young adults understand tobacco risk, this would provide evidence to include such messages as part of larger technology-based campaigns such as smartphone applications, entertainment-based campaigns, and social media. CLINICALTRIAL This trial was registered at the Clinical Trials registry, NCT03457480; https://clinicaltrials.gov/ct2/show/NCT03457480?term=NCT03457480&rank=1 (Archived by WebCite at http://www.webcitation.org/6ykd4IIap).

scholarly journals Mobile Text Messaging for Tobacco Risk Communication among Young-Adult Community College Students: A Randomized Trial of Project DEBUNK (Preprint)

10.2196/25618 ◽  
2020 ◽  
Author(s):  
Alexander V Prokhorov ◽  
Karen Sue Calabro ◽  
Ashish Arya ◽  
Sophia Russell ◽  
Katarzyna W Czerniak ◽  
...  
Keyword(s):  
College Students ◽  
Community College ◽  
Young Adult ◽  
Randomized Trial ◽  
Community College Students ◽  
Risk Communication ◽  
Text Messaging

scholarly journals Mobile Phone Text Messaging for Tobacco Risk Communication Among Young Adult Community College Students: Protocol and Baseline Overview for a Randomized Controlled Trial

10.2196/10977 ◽  
2018 ◽  
Vol 7 (10) ◽  
pp. e10977 ◽  
Author(s):  
Alexander V Prokhorov ◽  
Georges Elias Khalil ◽  
Karen Sue Calabro ◽  
Tamara Costello Machado ◽  
Sophia Russell ◽  
...  
Keyword(s):  
College Students ◽  
Community College ◽  
Randomized Controlled Trial ◽  
Young Adult ◽  
Mobile Phone ◽  
Community College Students ◽  
Risk Communication ◽  
Text Messaging ◽  
Controlled Trial ◽  
Randomized Controlled

scholarly journals Original Paper: Informing Young Adults about the Risks of Using Electronic Cigarettes: A Pilot Study of an Informational Mobile Phone Text Messaging Program (Preprint)

2018 ◽  
Author(s):  
Karen Sue Calabro ◽  
Georges E Khalil ◽  
Minxing Chen ◽  
Cheryl L Perry ◽  
Alexander V Prokhorov
Keyword(s):  
Young Adults ◽  
Risk Perception ◽  
Pilot Study ◽  
Text Messaging ◽  
Text Messages ◽  
Delivery Mode ◽  
Cigarette Use ◽  
Tobacco Products ◽  
Health Claims Data ◽  
The Impact

BACKGROUND Young adults are rapidly adopting electronic cigarette (e-cigarette) use. E-cigarettes’ popularity among young people can be attributed to heavy industry advertising and misleading health claims. Data indicate young e-cigarette users who never used conventional cigarettes are now progressing toward smoking combustible cigarettes. Literature documents the influence of text messaging as a delivery mode to support participants in behavioral interventions. Communicating e-cigarette risks via text messaging has not been tested. OBJECTIVE This pilot study assessed the impact of exposure to text messages on e-cigarette knowledge and risk perception outcomes. METHODS A 2-group randomized pretest and posttest study was conducted among young men and women recruited from vocational training programs. Personal phones were used to receive messages and 95 racially and ethnically diverse participants completed a pretest and posttest. Fifty percent were randomized to either receive gain- or loss-framed messages that integrated the latest scientific findings about e-cigarettes. All messages used wording suitable for audiences with low health literacy. Knowledge and risk perceptions about e-cigarettes and tobacco use were assessed pretest and posttest after message exposure. RESULTS The mean age of participants was 20.8 (SD = 1.7). At pretest, approximately 10.5% of the (n=10/95) participants were current e-cigarette users, and 27.4% (n=26/95) used a variety of tobacco products. Participants randomized to gain-framed messages reported a statistically significant higher risk perception for using e-cigarettes at posttest than those who received loss-framed messages (P = .018). After message exposure there was no change in use of e-cigarettes or other tobacco products. CONCLUSIONS Young adults were informed that e-cigarette use may lead to addiction to nicotine and other consequences. Delivery of effective text messages such as those tested in this pilot can assist young consumers to evaluate and make decisions about e-cigarettes and other evolving tobacco products. CLINICALTRIAL This was a pilot study and not a clinical trial, thus the project was not registered.

scholarly journals Text messaging research participants as a follow-up strategy to decrease emergency department study attrition

CJEM ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 148-153 ◽  
Author(s):  
Catherine Varner ◽  
Shelley McLeod ◽  
Negine Nahiddi ◽  
Bjug Borgundvaag
Keyword(s):  
Emergency Department ◽  
Randomized Trial ◽  
Text Messaging ◽  
Text Message ◽  
Text Messages ◽  
Communication Strategy ◽  
Research Participants ◽  
Patient Reported ◽  
Study Participants

AbstractObjectiveCollecting patient-reported follow-up data for prospective studies in the emergency department (ED) is challenging in this minimal continuity setting. The objective of this study was to determine whether text messaging study participants involved in an ongoing randomized trial resulted in a lower rate of attrition as compared to conventional telephone follow-up.MethodsThis was a nested cohort analysis of research participants enrolled in a randomized controlled trial assessing head injury discharge instructions. During the first 4 months of study follow-up, participants were contacted by a conventional telephone call. For the final 3 months, participants were contacted by text messaging following the first failed telephone attempt.ResultsA total of 118 patients were enrolled in the study (78 underwent conventional follow-up, and 40 received text messages). During the period of conventional follow-up, 3 participants withdrew from the study. Of the remaining 75 participants, 24 (32.0%) at 2 weeks and 32 (42.7%) at 4 weeks were unable to be contacted. Of the 40 participants receiving a reminder text message, 4 (10.0%) at 2 weeks and 10 (25.0%) at 4 weeks were unable to be contacted. Overall, text messaging study participants decreased attrition by 22% (95% CI: 5.9%, 34.7%) and 17.7% (95% CI: -0.8%, 33.3%) at 2- and 4-week follow-ups, respectively.ConclusionsIn this ED cohort participating in a randomized trial, text message reminders of upcoming telephone follow-up interviews decreased the rate of attrition. Text messaging is a viable, low-cost communication strategy that can improve follow-up participation in prospective research studies.

scholarly journals Expanding Access to Perinatal Depression Treatment in Kenya Through Automated Psychological Support: Development and Usability Study

10.2196/17895 ◽  
2020 ◽  
Vol 4 (10) ◽  
pp. e17895
Author(s):  
Eric P Green ◽  
Yihuan Lai ◽  
Nicholas Pearson ◽  
Sathyanath Rajasekharan ◽  
Michiel Rauws ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Postpartum Period ◽  
Repeated Measures ◽  
Text Messaging ◽  
Perinatal Depression ◽  
Scale Up ◽  
Text Messages ◽  
Public Hospitals ◽  
Response To Treatment ◽  
New Mothers

Background Depression during pregnancy and in the postpartum period is associated with poor outcomes for women and their children. Although effective interventions exist for common mental disorders that occur during pregnancy and the postpartum period, most cases in low- and middle-income countries go untreated because of a lack of trained professionals. Task-sharing models such as the Thinking Healthy Program have shown potential in feasibility and efficacy trials as a strategy for expanding access to treatment in low-resource settings; however, there are significant barriers to scale-up. We address this gap by adapting Thinking Healthy for automated delivery via a mobile phone. This new intervention, Healthy Moms, uses an existing artificial intelligence system called Tess (Zuri in Kenya) to drive conversations with users. Objective This prepilot study aims to gather preliminary data on the Healthy Moms perinatal depression intervention to learn how to build and test a more robust service. Methods We conducted a single-case experimental design with pregnant women and new mothers recruited from public hospitals outside of Nairobi, Kenya. We invited these women to complete a brief, automated screening delivered via text messages to determine their eligibility. Enrolled participants were randomized to a 1- or 2-week baseline period and then invited to begin using Zuri. We prompted participants to rate their mood via SMS text messaging every 3 days during the baseline and intervention periods, and we used these preliminary repeated measures data to fit a linear mixed-effects model of response to treatment. We also reviewed system logs and conducted in-depth interviews with participants to study engagement with the intervention, feasibility, and acceptability. Results We invited 647 women to learn more about Zuri: 86 completed our automated SMS screening and 41 enrolled in the study. Most of the enrolled women submitted at least 3 mood ratings (31/41, 76%) and sent at least 1 message to Zuri (27/41, 66%). A third of the sample engaged beyond registration (14/41, 34%). On average, women who engaged post registration started 3.4 (SD 3.2) Healthy Moms sessions and completed 3.1 (SD 2.9) of the sessions they started. Most interviewees who tried Zuri reported having a positive attitude toward the service and expressed trust in Zuri. They also attributed positive life changes to the intervention. We estimated that using this alpha version of Zuri may have led to a 7% improvement in mood. Conclusions Zuri is feasible to deliver via SMS and was acceptable to this sample of pregnant women and new mothers. The results of this prepilot study will serve as a baseline for future studies in terms of recruitment, data collection, and outcomes. International Registered Report Identifier (IRRID) RR2-10.2196/11800

scholarly journals Expanding Access to Perinatal Depression Treatment in Kenya Through Automated Psychological Support: Development and Usability Study (Preprint)

2020 ◽  
Author(s):  
Eric P Green ◽  
Yihuan Lai ◽  
Nicholas Pearson ◽  
Sathyanath Rajasekharan ◽  
Michiel Rauws ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Postpartum Period ◽  
Repeated Measures ◽  
Text Messaging ◽  
Perinatal Depression ◽  
Scale Up ◽  
Text Messages ◽  
Public Hospitals ◽  
Response To Treatment ◽  
New Mothers

BACKGROUND Depression during pregnancy and in the postpartum period is associated with poor outcomes for women and their children. Although effective interventions exist for common mental disorders that occur during pregnancy and the postpartum period, most cases in low- and middle-income countries go untreated because of a lack of trained professionals. Task-sharing models such as the <i>Thinking Healthy</i> Program have shown potential in feasibility and efficacy trials as a strategy for expanding access to treatment in low-resource settings; however, there are significant barriers to scale-up. We address this gap by adapting <i>Thinking Healthy</i> for automated delivery via a mobile phone. This new intervention, <i>Healthy Moms</i>, uses an existing artificial intelligence system called Tess (Zuri in Kenya) to drive conversations with users. OBJECTIVE This prepilot study aims to gather preliminary data on the <i>Healthy Moms</i> perinatal depression intervention to learn how to build and test a more robust service. METHODS We conducted a single-case experimental design with pregnant women and new mothers recruited from public hospitals outside of Nairobi, Kenya. We invited these women to complete a brief, automated screening delivered via text messages to determine their eligibility. Enrolled participants were randomized to a 1- or 2-week baseline period and then invited to begin using Zuri. We prompted participants to rate their mood via SMS text messaging every 3 days during the baseline and intervention periods, and we used these preliminary repeated measures data to fit a linear mixed-effects model of response to treatment. We also reviewed system logs and conducted in-depth interviews with participants to study engagement with the intervention, feasibility, and acceptability. RESULTS We invited 647 women to learn more about Zuri: 86 completed our automated SMS screening and 41 enrolled in the study. Most of the enrolled women submitted at least 3 mood ratings (31/41, 76%) and sent at least 1 message to Zuri (27/41, 66%). A third of the sample engaged beyond registration (14/41, 34%). On average, women who engaged post registration started 3.4 (SD 3.2) <i>Healthy Moms</i> sessions and completed 3.1 (SD 2.9) of the sessions they started. Most interviewees who tried Zuri reported having a positive attitude toward the service and expressed trust in Zuri. They also attributed positive life changes to the intervention. We estimated that using this alpha version of Zuri may have led to a 7% improvement in mood. CONCLUSIONS Zuri is feasible to deliver via SMS and was acceptable to this sample of pregnant women and new mothers. The results of this prepilot study will serve as a baseline for future studies in terms of recruitment, data collection, and outcomes. INTERNATIONAL REGISTERED REPORT RR2-10.2196/11800

scholarly journals LO084: Text messaging research participants as a follow-up strategy to decrease emergency department study attrition

CJEM ◽  
2016 ◽  
Vol 18 (S1) ◽  
pp. S59-S59
Author(s):  
C. Varner ◽  
S.L. McLeod ◽  
N. Nahiddi ◽  
B. Borgundvaag
Keyword(s):  
Emergency Department ◽  
Head Injury ◽  
Randomized Trial ◽  
Text Messaging ◽  
Text Message ◽  
Text Messages ◽  
Communication Strategy ◽  
Research Participants ◽  
Study Participants

Introduction: Collecting patient-reported follow-up data for prospective studies in the emergency department (ED) is challenging in this acute care, minimal continuity setting. Follow-up is frequently attempted using telephone contact and in some instances mail correspondence. The objective of this study was to determine if text messaging study participants involved in an ongoing randomized trial resulted in a lower rate of attrition as compared to conventional telephone follow-up. Methods: This was a secondary analysis of research participants enrolled in a randomized controlled trial assessing head injury discharge instructions. Adult (18-64 years) patients presenting to an academic ED (annual census 65,000) with chief complaint ‘head injury’ occurring within 24 hours of ED visit were contacted by telephone 2 and 4 weeks post ED visit to complete a symptom questionnaire. During the first 4 months of study follow-up, participants were contacted by a conventional telephone call. Attrition was higher than anticipated, thus we received subsequent ethics approval for the final 3 months of follow-up duration to contact participants by text message on the day of the first telephone attempt as a reminder of the telephone interview scheduled later that day. The proportion of patients lost to follow-up at 2 and 4 weeks post ED visit was compared between participants not receiving and receiving reminder text messages. Results: 118 patients were enrolled in the study (78 underwent conventional follow-up and 40 received text messages). Mean (SD) age was 35.2 (13.7) years and 43 (36.4%) were male. During the period of conventional follow-up, 3 participants withdrew from the study. Of the remaining 75 participants, 24 (32.0%) at 2 weeks and 32 (42.7%) at 4 weeks were unable to be contacted. Of the 40 participants receiving a reminder text message, 4 (10.0%) at 2 weeks and 10 (25.0%) at 4 weeks were unable to be contacted. Overall, text messaging study participants decreased attrition by 22% (95% CI: 5.9%, 34.7%) and 17.7% (95% CI: -0.8%, 33.3%) at 2 and 4 week follow-up, respectively. Conclusion: In this young ED cohort participating in a randomized trial, text message reminders of upcoming telephone follow-up interviews decreased the rate of attrition. Text messaging is a viable, low-cost communication strategy that can improve follow-up participation in prospective research studies.

Text Messaging as a Mental Health Treatment Intervention: A Corpus-Based Study

2019 ◽  
Author(s):  
Megan Partch ◽  
Cass Dykeman
Keyword(s):  
Mental Health ◽  
Mental Health Treatment ◽  
Text Messaging ◽  
Low Cost ◽  
Statistical Significance ◽  
Text Message ◽  
Treatment Session ◽  
Text Messages ◽  
Health Treatment ◽  
Emotional Tone

Mental health treatment providers seek high-impact and low-cost means of engaging clients in care. As such, text messaging is becoming more frequently utilized as a means of communication between provider and client. Research demonstrates that text message interventions increase treatment session attendance, decrease symptomology, and improve overall functioning. However, research is lacking related to the linguistic make up of provider communications. Text messages were collected from previously published articles related to the treatment of mental health disorders. A corpus of 39 mental health treatment text message interventions was composed totaling 286 words. Using Linguistic Inquiry and Word Count (LIWC) software, messages were analyzed for prevalence of terminology thought to enhance client engagement. Clout, demonstrating the writer’s confidence and expertise, and positive Emotional Tone were found to be at a high level within the corpus. Results demonstrated statistical significance for five linguistic variables. When compared with national blog norms derived from Twitter, Clout, Emotional Tone, and use of Biological terminology were found to be at higher rates than expected. Authenticity and Informal terminology were found at significantly lesser rates.

Compliance of the Cigarettes and Other Tobacco Products Act (COTPA) 2003:A Baseline Survey in Vijayapura District of North Karnataka

2020 ◽  
Vol 11 (2) ◽  
pp. 278
Author(s):  
Praveen Ganganahalli ◽  
Santosh D. Patil ◽  
Mohd. Shannawaz ◽  
Prakash Chauhan ◽  
M. B. Biradar
Keyword(s):  
Baseline Survey ◽  
Tobacco Products
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