Using viral e-mails to distribute tobacco control advertisements: an experimental investigation

Digital Marketing: A Unique Multidisciplinary Approach towards the Elimination of Viral Hepatitis

New technologies are supported by the global implementation of the internet. These improvements have deeply affected various disciplines of sciences and consequently changed services such as daily business, particularly health sectors. Innovative digital marketing strategies utilize the channels of social media and retrieved user data to analyze and improve relevant services. These multidisciplinary innovations can assist specialists, physicians and researchers in diagnostic, prophylaxis and treatment issues in the health sector. Accordingly, compared to recent decades, health decision makers are more accurate and trustful in defining new strategies. Interestingly, using social media and mobile health apps in current pandemics of SARS-CoV-2 could be an important instance of the key role of these platforms at the local and global level of health policies. These digital technologies provide platforms to connect public health sectors and health politicians for communicating and spreading relevant information. Adding influencers and campaigns to this toolbox strengthens the implementation of public health programs. In 2016, the WHO adopted a global program to eliminate viral hepatitis by 2030. Recent constructive measures that have been used in the battle against COVID-19 could be adopted for the elimination of viral hepatitis program. The presented evidence in our narrative review demonstrates that the application of digital marketing tools to create campaigns on social media, armed with professional influencers, can efficiently consolidate this program. The application of different strategies in using these popular tools will raise the public awareness about viral hepatitis. Subsequently, the availability of an effective vaccine for HBV and antiviral medication for HCV can motivate the audience to take steps towards prophylaxis and screening methods against these infectious illnesses. The encouragement of health policy makers to apply digital communication technologies and comprehensive roadmaps to implement this global program will certainly decrease the burden of viral hepatitis worldwide.

Mobile Text Messaging for Tobacco Risk Communication Among Young Adult Community College Students: Randomized Trial of Project Debunk

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.

Recent advances in computational tools and resources for the self-management of type 2 diabetes

Background: While healthcare systems are investing resources on type 2 diabetes patients, self-management is becoming the new trend for these patients. Due to the pervasiveness of computing devices, a number of computerized systems are emerging to support the self-management of patients.Objective: The primary objective of this review is to identify and categorize the computational tools that exist for the self-management of type 2 diabetes, and to identify challenges that need to be addressed.Results: The tools have been categorized into web applications, mobile applications, games and ubiquitous diabetes management systems. We provide a detailed description of the salient features of each category along with a comparison of the various tools, listing their challenges and practical implications. A list of platforms that can be used to develop new tools for the self-management of type 2 diabetes, namely mobile applications development, sensor development, cloud computing, social media, and machine learning and predictive analysis platforms, are also provided.Discussions: This paper identifies a number of challenges in the existing categories of computational tools and consequently presents possible avenues for future research. Failure to address these issues will negatively impact on the adoption rate of the self-management tools and applications.

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

Background

Community-college students are at high risk for tobacco use. Because the use of mobile phone text messaging is nearly ubiquitous today, short message service (SMS) may be an effective strategy for tobacco risk communication in this population. Little is known, however, concerning the message structure significantly influencing perceived tobacco risk.

Objective

We aim to outline the rationale and design of Project Debunk, a randomized trial comparing the effects of different SMS text message structures.

Methods

We conducted a 6-month randomized trial comparing 8 arms, based on the combination of the 3 message structures delivered to young adults in a 2×2×2 study design: framing (gain-framed or loss-framed), depth (simple or complex), and appeal (emotional or rational). Participants were invited to participate from 3 community colleges in Houston from September 2016 to July 2017. Participants were randomized to 1 arm and received text messages in 2 separate campaigns. Each campaign consisted of 2 text messages per day for 30 days. Perceived tobacco risk was assessed at baseline, 2 months after the first campaign, and 2 months after the second campaign. We assessed the perceived risk of using conventional products (eg, combustible cigarettes) and new and emerging products (eg, electronic cigarettes). The validity of message structures was assessed weekly for each campaign. A 1-week follow-up assessment was also conducted to understand immediate reactions from participants.

Results

We completed data collection for the baseline survey on a rolling basis during this time and assessed the validity of the message structure after 1 week of SMS text messages. For the entire sample (N=636), the average age was 20.92 years (SD 2.52), about two-thirds were male (430/636, 67.6%), and most were black or African American (259/636, 40.7%) or white (236/636, 37.1%). After 1 week of receiving text messages, the following was noted: (a) loss-framed messages were more likely to be perceived as presenting a loss than gain-framed messages (F_7,522=13.13, P<.001), (b) complex messages were perceived to be more complex than simple messages (F_7,520=2.04, P=.05), and (c) emotional messages were perceived to be more emotionally involving than rational messages (F_7,520=6.46, P<.001).

Conclusions

This study confirms that the recruitment, randomization, and message composition have been successfully implemented. Further analyses will identify specific types of messages that are more effective than others in increasing the perceived risk of tobacco use. If our results suggest that any of the 8 specific message structures are more effective for helping young adults understand tobacco risk, this would provide evidence to include such messages as part of a larger technology-based campaign such as mobile phone apps, entertainment-based campaigns, and social media.

Trial Registration

ClinicalTrials.gov NCT03457480; https://clinicaltrials.gov/ct2/show/NCT03457480 (Archived by WebCite at http://www.webcitation.org/6ykd4IIap)

Registered Report Identifier

RR1-10.2196/10977

Combining Two Outcome Frames to Promote Support for Obesity-Related Policies

Guided by construal level theory (CLT), this study investigates the interplay between two framing approaches that address outcomes of obesity-related policies. A randomized experiment (N = 299) was conducted with a 2 (gain- vs. loss-frame) X 2 (societal- vs. individual-frame) between-participants design. Consistent with CLT, frame combinations with consistent construal levels were more persuasive. Compared to a societal-loss frame, a societal-gain frame was perceived as a stronger argument, which in turn increased policy support. Participants were also more likely to engage in healthier diets and physical activity when messages highlighted societal-gain rather than societal-loss. This study offers important insights for combining multiple framing approaches in a persuasive message to improve policy support as well as individual health decisions.

Testing the Replication and Extension of Why-Quit and How-To-Quit Antismoking Health Messages

Research on health campaigns and interpersonal communication has seldom examined how campaign message exposure can influence the transmission of campaign-relevant information into interpersonal communication. Specifically, an individual exposed to a campaign message may send the message's core argument (replication) or other campaign-consistent information (extension) to additional campaign targets. Replication and extension may enhance campaign effects because they are expected to extend a campaign's reach and produce more campaign-consistent communication. Using a randomized controlled experiment, this study examined how exposure to why-quit and how-to-quit themed antismoking messages influences replication and extension. Study results showed that while both why-quit and how-to-quit messages were successful in increasing replication, only why-quit messages were successful in influencing extension. The study results demonstrate that there is variation in the degree of how messages can successfully be replicated or extended in interpersonal contexts, which can inform campaign development.

Selection and Transmission Processes for Information in the Emerging Media Environment: Psychological Motives and Message Characteristics

The emerging media environment introduced fundamental changes in the quality and format of information available to the public, which can now flexibly seek, alter, and disseminate the information they receive. Therefore, the two processes of information selection and information retransmission are crucial for understanding the reach of any information available in the online information environment. From this starting point, we examine the common psychological motives driving information selection and transmission of attitude-relevant information: Defense and accuracy motives adding a focus on interpersonal motives. We also review message factors that can activate psychological motives leading to selection of retransmission of information, such as the desire for novelty and emotional stimulation. We speculate about the directions for the next generation of research necessary to understand exposure as a core outcome in media effects research and theory.

Social media campaigns that make a difference: what can public health learn from the corporate sector and other social change marketers?

AIM

A great deal of enthusiasm and interest exists in using social media for public health communications, but few research studies have examined its success in promoting and adopting protective health behaviours. To begin to understand how best to develop effective online social marketing campaigns, this paper provides a summary of success factors and key lessons learnt from selected social media campaign case studies.

STUDY TYPE

Case study review Methods: A selection of case studies was reviewed for lessons in campaign development, delivery and evaluation from both the corporate and public health sectors. Information about the objective of the campaign, the tactics used and the lessons learnt was extracted from each case study. Lessons learnt from across the case studies were then sorted according to themes.

RESULTS

Lessons from the nine case studies selected were categorised into eight themes: planning, use of social media tools, community, content, personal benefits, promotion, costs and challenges. Outcome evaluation data were lacking in the case studies.

CONCLUSIONS

Overall, the nine case studies show that social media hold promise in changing user behaviours and that social media are highly effective in recruiting participants and motivating them to take small, concrete actions. The case studies also demonstrate that there is room in social media for targeted, inexpensive, small-scale projects, as well as large, well-funded, mass-reach marketing blitzes. Social media campaign process and impact evaluation measures are readily available. Outcome evaluation models and measures are needed to better assess the effectiveness of social media campaigns in changing health behaviours.

Technology-based interventions for tobacco and other drug use in university and college students: a systematic review and meta-analysis

Background

University students have high levels of tobacco and other drug use, yet they are unlikely to seek traditional care. Technology-based interventions are highly relevant to this population. This paper comprises a systematic review and meta-analysis of published randomized trials of technology-based interventions evaluated in a tertiary (university/college) setting for tobacco and other drug use (excluding alcohol). It extends previous reviews by using a broad definition of technology.

Methods

PubMed, PsycInfo, and the Cochrane databases were searched using keywords, phrases, and MeSH terms. Retrieved abstracts (n = 627) were double screened and coded. Included studies met the following criteria: (1) the study was a randomized trial or a randomized controlled trial (RCT); (2) the sample was composed of students attending a tertiary (e.g., university, college) institution; (3) the intervention was either delivered by or accessed using a technological device or process (e.g., computer/internet, telephone, mobile short message services [SMS]); (4) the age range or mean of the sample was between 18 and 25 years; and (5) the intervention was designed to alter a drug use outcome relating to tobacco or other drugs (excluding alcohol).

Results

A total of 12 papers met inclusion criteria for the current review. The majority of included papers examined tobacco use (n = 9; 75%), two studies targeted marijuana use (17%); and one targeted stress, marijuana, alcohol, and tobacco use. A quantitative meta-analysis was conducted on the tobacco use studies using an abstinence outcome measure (n = 6), demonstrating that the interventions increased the rate of abstinence by 1.5 times that of controls (Risk Ratio [RR] = 1.54; 95% Confidence Interval [CI] = 1.20–1.98). Across all 12 studies, a total of 20 technology-based interventions were reviewed. A range of technology was employed in the interventions, including stand-alone computer programs (n = 10), internet (n = 5), telephone (n = 3), and mobile SMS (n = 2).

Conclusions

Although technological interventions have the potential to reduce drug use in tertiary students, very few trials have been conducted, particularly for substances other than tobacco. However, the improvement shown in abstinence from tobacco use has the potential to impact substantially on morbidity and mortality.

Electronic supplementary material

The online version of this article (doi:10.1186/s13722-015-0027-4) contains supplementary material, which is available to authorized users.

Content characteristics driving the diffusion of antismoking messages: implications for cancer prevention in the emerging public communication environment

This study examined how content characteristics of antitobacco messages affect smokers' selective exposure to and social sharing of those messages. Results from an experiment revealed that content features predicting smokers' selection of antismoking messages are different from those predicting whether those messages are shared. Antismoking messages smokers tend to select are characterized by strong arguments (odds ratio = 2.02, P = .02) and positive sentiments (odds ratio = 3.08, P = .03). Once selected, the messages more likely to be retransmitted by smokers were those with novel arguments (B = .83, P = .002) and positive sentiments (B = 1.65, P = .005). This research adds to the literature about the content characteristics driving the social diffusion of antitobacco messages and contributes to our understanding of the role of persuasive messages about smoking cessation in the emerging public communication environment.