Online social networks and smoking cessation: a scientific research agenda

If you build (and moderate) it, they will come: the Smokefree Women Facebook page

This analysis explores the impact of modifying the Smokefree Women Facebook social media strategy, from primarily promoting resources to encouraging participation in communications about smoking cessation by posting user-generated content. Analyses were performed using data from the Smokefree Women Facebook page to assess the impact of the revised strategy on reach and engagement. Fan engagement increased 430%, and a strong and statistically significant correlation (P < .05) between the frequency of moderator posts and community engagement was observed. The reach of the page also increased by 420%. Our findings indicate that the strategy shift had a statistically significant and positive effect on the frequency of interactions on the Facebook page, providing an example of an approach that may prove useful for reaching and engaging users in online communities. Additional research is needed to assess the association between engagement in virtual communities and health behavior outcomes.

Sentiment analysis to determine the impact of online messages on smokers' choices to use varenicline

BACKGROUND

Social networks are a prominent component of online smoking cessation interventions. This study applied sentiment analysis-a data processing technique that codes textual data for emotional polarity-to examine how exposure to messages about the cessation drug varenicline affects smokers' decision making around its use.

METHODS

Data were from QuitNet, an online social network dedicated to smoking cessation and relapse prevention. Self-reported medication choice at registration and at 30 days was coded among new QuitNet registrants who participated in at least one forum discussion mentioning varenicline between January 31, 2005 and March 9, 2008. Commercially available software was used to code the sentiment of forum messages mentioning varenicline that occurred during this time frame. Logistic regression analyses examined whether forum message exposure predicted medication choice.

RESULTS

The sample of 2132 registrants comprised mostly women (78.3%), white participants (83.4%), averaged 41.2 years of age (SD = 10.9), and smoked on average 21.5 (SD = 9.7) cigarettes/day. After adjusting for potential confounders, as exposure to positive varenicline messages outweighed negative messages, the odds of switching to varenicline (odds ratio = 2.05, 95% confidence interval = 1.66 to 2.54) and continuing to use varenicline (odds ratio = 2.46, 95% confidence interval = 1.96 to 3.10) statistically significantly increased.

CONCLUSIONS

Sentiment analysis is a useful tool for analyzing text-based data to examine their impact on behavior change. Greater exposure to positive sentiment in online conversations about varenicline is associated with a greater likelihood that smokers will choose to use varenicline in a quit attempt.

Internet and Telephone Treatment for smoking cessation: mediators and moderators of short-term abstinence

INTRODUCTION

This study examined mediators and moderators of short-term treatment effectiveness from the iQUITT Study (Quit Using Internet and Telephone Treatment), a 3-arm randomized trial that compared an interactive smoking cessation Web site with an online social network (enhanced Internet) alone and in conjunction with proactive telephone counseling (enhanced Internet plus phone) to a static Internet comparison condition (basic Internet).

METHODS

The analytic sample was N = 1,236 participants with complete 3-month data on all mediating variables. The primary outcome was 30-day point prevalence abstinence (ppa) at 3 months. Recognizing the importance of temporal precedence in mediation analyses, we also present findings for 6-month outcomes. Purported mediators were treatment utilization and changes in psychosocial constructs. Proposed moderators included baseline demographic, smoking, and psychosocial variables. Mediation analyses examined the extent to which between-arm differences in 30-day ppa could be attributed to differential Web site utilization, telephone counseling, and associated changes in smoking self-efficacy and social support for quitting. Effect modification analyses fitted interactions between treatment and prespecified moderators on abstinence.

RESULTS

Significant mediators of 30-day ppa were changes in smoking temptations, quitting confidence, and positive and negative partner support, which were strongly associated with increased Web site utilization. The addition of telephone counseling to an enhanced Web site further improved abstinence rates, partly via an association with increased quitting confidence. Baseline smoking rate was the only significant moderator.

CONCLUSIONS

Increased treatment utilization and associated changes in several psychosocial measures yielded higher abstinence rates. Findings validate the importance of treatment utilization, smoking self-efficacy, and social support to promote abstinence.

Discovering health topics in social media using topic models

By aggregating self-reported health statuses across millions of users, we seek to characterize the variety of health information discussed in Twitter. We describe a topic modeling framework for discovering health topics in Twitter, a social media website. This is an exploratory approach with the goal of understanding what health topics are commonly discussed in social media. This paper describes in detail a statistical topic model created for this purpose, the Ailment Topic Aspect Model (ATAM), as well as our system for filtering general Twitter data based on health keywords and supervised classification. We show how ATAM and other topic models can automatically infer health topics in 144 million Twitter messages from 2011 to 2013. ATAM discovered 13 coherent clusters of Twitter messages, some of which correlate with seasonal influenza (r = 0.689) and allergies (r = 0.810) temporal surveillance data, as well as exercise (r =  .534) and obesity (r =  -.631) related geographic survey data in the United States. These results demonstrate that it is possible to automatically discover topics that attain statistically significant correlations with ground truth data, despite using minimal human supervision and no historical data to train the model, in contrast to prior work. Additionally, these results demonstrate that a single general-purpose model can identify many different health topics in social media.

Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012

Background

Recent eHealth developments have elevated the importance of assessing the extent to which technology has empowered patients and improved health, particularly among the most vulnerable populations. With noted disparities across racial and social groups in chronic health outcomes, such as cancer, obesity, and diabetes, it is essential that researchers examine any differences in the implementation, uptake, and impact of eHealth strategies across groups that bear a disproportionate burden of disease.

Objective

The goal was to examine eHealth use by sociodemographic factors, such as race/ethnicity, socioeconomic status (SES), age, and sex.

Methods

We drew data from National Cancer Institute’s 2012 Health Information National Trends Survey (HINTS) (N=3959) which is publicly available online. We estimated multivariable logistic regression models to assess sociodemographic predictors of eHealth use among adult Internet users (N=2358) across 3 health communication domains (health care, health information–seeking, and user-generated content/sharing).

Results

Among online adults, we saw no evidence of a digital use divide by race/ethnicity. However, there were significant differences in use by SES, particularly for health care and health information–seeking items. Patients with lower levels of education had significantly lower odds of going online to look for a health care provider (high school or less: OR 0.50, 95% CI 0.33-0.76) using email or the Internet to communicate with a doctor (high school or less: OR 0.46, 95% CI 0.29-0.72), tracking their personal health information online (high school or less: OR 0.53, 95% CI 0.32-0.84), using a website to help track diet, weight, and physical activity (high school or less: OR 0.64, 95% CI 0.42-0.98; some college: OR 0.67, 95% CI 0.49-0.93), or downloading health information to a mobile device (some college: OR 0.54, 95% CI 0.33-0.89). Being female was a consistent predictor of eHealth use across health care and user-generated content/sharing domains, whereas age was primarily influential for health information–seeking.

Conclusions

This study illustrates that lower SES, older, and male online US adults were less likely to engage in a number of eHealth activities compared to their counterparts. Future studies should assess issues of health literacy and eHealth literacy and their influence on eHealth engagement across social groups. Clinical care and public health communication efforts attempting to leverage Web 2.0 and 3.0 platforms should acknowledge differential eHealth usage to better address communication inequalities and persistent disparities in health.

The role of Facebook in Crush the Crave, a mobile- and social media-based smoking cessation intervention: qualitative framework analysis of posts

Background

Social networking sites, particularly Facebook, are increasingly included in contemporary smoking cessation interventions directed toward young adults. Little is known about the role of Facebook in smoking cessation interventions directed toward this age demographic.

Objective

The aim of this study was to characterize the content of posts on the Facebook page of Crush the Crave, an evidence-informed smoking cessation intervention directed toward young adults aged 19 to 29 years.

Methods

Crush the Crave Facebook posts between October 10, 2012 and June 12, 2013 were collected for analysis, representing page activity during the pilot phase of Crush the Crave. Of the 399 posts included for analysis, 121 were original posts, whereas the remaining 278 were reply posts. Posts were coded according to themes using framework analysis.

Results

We found that the original Crush the Crave Facebook posts served two main purposes: to support smoking cessation and to market Crush the Crave. Most of the original posts (86/121, 71.1%) conveyed support of smoking cessation through the following 7 subthemes: encouraging cessation, group stimulation, management of cravings, promoting social support, denormalizing smoking, providing health information, and exposing tobacco industry tactics. The remaining original posts (35/121, 28.9%) aimed to market Crush the Crave through 2 subthemes: Crush the Crave promotion and iPhone 5 contest promotion. Most of the reply posts (214/278, 77.0%) were in response to the supporting smoking cessation posts and the remaining 64 (23.0%) were in response to the marketing Crush the Crave posts. The most common response to both the supporting smoking cessation and marketing Crush the Crave posts was user engagement with the images associated with each post at 40.2% (86/214) and 45% (29/64), respectively. The second most common response consisted of users sharing their smoking-related experiences. More users shared their smoking-related experiences in response to the supporting smoking cessation posts (81/214, 37.9%) compared to the marketing Crush the Crave posts (11/64, 17%). With the exception of 4 posts, a moderator posted all the original posts. In addition, although 56.00% (18,937/33,815) of Crush the Crave Facebook page users were men, only 19.8% (55/278) of the reply posts were made by men. Finally, men were found to be more likely to express sarcasm or make strong assertions about quitting smoking and Crush the Crave than women.

Conclusions

The CTC Facebook page presents as a unique platform for supporting young adult smoking cessation at all stages of the cessation process. The findings of this study indicate that social networking sites, especially Facebook, warrant inclusion in tobacco control efforts directed towards young adults. Research on effectiveness of the Facebook page for quitting smoking is needed.

The use of social media by state tobacco control programs to promote smoking cessation: a cross-sectional study

BACKGROUND

The promotion of evidence-based cessation services through social media sites may increase their utilization by smokers. Data on social media adoption and use within tobacco control programs (TCPs) have not been reported.

OBJECTIVE

This study examines TCP use of and activity levels on social media, the reach of TCP sites, and the level of engagement with the content on sites.

METHODS

A cross-sectional descriptive study of state TCP social media sites and their content was conducted.

RESULTS

In 2013, 60% (30/50) of TCPs were using social media. Approximately one-quarter (26%, 13/50) of all TCPs used 3 or more social media sites, 24% (12/50) used 2, and 10% (5/50) used 1 site. Overall, 60% (30/50) had a Facebook page, 36% (18/50) had a Twitter page, and 40% (20/50) had a YouTube channel. The reach of social media was different across each site and varied widely by state. Among TCPs with a Facebook page, 73% (22/30) had less than 100 likes per 100,000 adults in the state, and 13% (4/30) had more than 400 likes per 100,000 adults. Among TCPs with a Twitter page, 61% (11/18) had less than 10 followers per 100,000 adults, and just 1 state had more than 100 followers per 100,000 adults. Seven states (23%, 7/30) updated their social media sites daily. The most frequent social media activities focused on the dissemination of information rather than interaction with site users. Social media resources from a national cessation media campaign were promoted infrequently.

CONCLUSIONS

The current reach of state TCP social media sites is low and most TCPs are not promoting existing cessation services or capitalizing on social media's interactive potential. TCPs should create an online environment that increases participation and 2-way communication with smokers to promote free cessation services.

Development and validation of a short scale to measure how social relationships support the continuous and conscious endeavour to lose weight

This paper reports the development of a short scale (ten items) entitled 'Social Relationships to Prevent Obesity' (SRPO), which examines how social relationships support the continuous and conscious endeavour to lose weight. The construct and criterion validity of this scale were ascertained in this study. Factor structure and reliability were examined using data from a randomized controlled trial. A confirmatory factor analysis of the SRPO revealed three relevant factors. The results suggest that the SRPO has both validity and clinical utility and can thus be used as a screening tool in weight-loss interventions and to assess the degree of, and trends in, self-control for weight loss in individuals. The scale can also be used to examine the environmental and self-control problems faced by obese people--factors that should be considered when conducting weight-loss interventions.

Crowdsourcing applications for public health

Crowdsourcing is an online, distributed, problem-solving, and production model that uses the collective intelligence of networked communities for specific purposes. Although its use has benefited many sectors of society, it has yet to be fully realized as a method for improving public health. This paper defines the core components of crowdsourcing and proposes a framework for understanding the potential utility of crowdsourcing in the domain of public health. Four discrete crowdsourcing approaches are described (knowledge discovery and management; distributed human intelligence tasking; broadcast search; and peer-vetted creative production types) and a number of potential applications for crowdsourcing for public health science and practice are enumerated.

Effectiveness of a multimodal online well-being intervention: a randomized controlled trial

BACKGROUND

Well-being encompasses physical, psychological, and social aspects of health and predicts healthcare utilization and expenditures. Despite their potential clinical impact, interventions that leverage social network effects to target well-being are uncommon.

PURPOSE

Using a pragmatic design, to evaluate the effectiveness of an online well-being intervention as part of ongoing program development.

DESIGN

Randomized, placebo-controlled, parallel-group trial with longitudinal outcome measurements at baseline, 30 days, and 90 days.

PARTICIPANTS/SETTING

A total of 1503 U.S.-based adults were enrolled. Recruitment, eligibility verification, and baseline data collection were conducted entirely online; follow-up took place online or by phone. The study was conducted in 2012.

INTERVENTION

A multimodal e-mail-, web-, and mobile-based intervention (Daily Challenge), in which participants receive daily suggestions of small health actions that they complete in a social environment. A traditional weekly health newsletter served as control.

MAIN OUTCOME MEASURE

Overall well-being as measured by the Individual-level Well-Being Assessment and Scoring Method (scale: 0 to 100).

RESULTS

Follow-up rates reached 68.7% (n=1032) at 30 days and 62.6% (n=940) at 90 days. Overall, 84.6% of treatment group participants visited the website, and 76.5% opened program e-mails (vs 51.1% in the control group). Daily Challenge improved well-being significantly more than control at 30 days (2.27 points, p=0.004) and at 90 days (2.35 points, p=0.004). A dose response for intensity of use was observed at 30 days (p=0.001) and 90 days (p=0.003). Well-being improvement was greater in participants with than without social ties in the program (at 30 days: p=0.02; at 90 days: p=0.003).

CONCLUSIONS

A multimodal online intervention leveraging social network effects significantly improved well-being over control. Higher levels of participation as well as increasing levels of social integration were associated with greater improvement in well-being.

TRIAL REGISTRATION

www.clinicaltrials.gov (NCT01586949).

Adult Willingness to Use Email and Social Media for Peer-to-Peer Cancer Screening Communication: Quantitative Interview Study

BACKGROUND

Adults over age 40 are increasing their use of email and social media, raising interest in use of peer-to-peer Internet-based messaging to promote cancer screening.

OBJECTIVE

The objective of our study was to assess current practices and attitudes toward use of email and other e-communication for peer-to-peer dialogues on cancer screening.

METHODS

We conducted in-person interviews with 438 insured adults ages 42-73 in Georgia, Hawaii, and Massachusetts. Participants reported on use of email and other e-communication including social media to discuss with peers routine health topics including breast and colorectal cancer (CRC). We ascertained willingness to share personal CRC screening experiences via conversation, postcard, email, or other e-communication. Health literacy scores were measured.

RESULTS

Email had been used by one-third (33.8%, 148/438) to discuss routine health topics, by 14.6% (64/438) to discuss breast cancer screening, and by 12.6% (55/438) to discuss CRC screening. Other e-communication was used to discuss routine health topics (11.6%, 51/438), screening for breast cancer (3.9%, 17/438), and CRC (2.3%, 10/438). In the preceding week, 84.5% (370/438) of participants had used email, 55.9% (245/438) had used e-communication of some type; 44.3% (194/438) text, 32.9% (144/438) Facebook, 12.3% (54/438) instant message, 7.1% (31/438) video chat, and 4.8% (21/438) Twitter. Many participants were willing to share their CRC screening experiences via email (32.4%, 142/438 might be willing; 36.3%, 159/438 very willing) and via other e-communication (15.8%, 69/438 might be willing; 14.4%, 63/438 very willing). Individuals willing to send CRC screening emails scored significantly higher on tests of health literacy compared to those willing to send only postcards (P<.001).

CONCLUSIONS

Many adults are willing to use email and e-communication to promote cancer screening to peers. Optimal approaches for encouraging peer-to-peer transmission of accurate and appropriate cancer screening messages must be studied.

Internet-based contingency management to promote smoking cessation: a randomized controlled study

We evaluated an Internet-based contingency management intervention to promote smoking cessation. Participants in the contingent group (n = 39) earned vouchers contingent on video confirmation of breath carbon monoxide (CO) ≤ 4 parts per million (ppm). Earnings for participants in the noncontingent group (n = 38) were independent of CO levels. Goals and feedback about smoking status were provided on participants' homepages. The median percentages of negative samples during the intervention in the noncontingent and contingent groups were 25% and 66.7%, respectively. There were no significant differences in absolute CO levels or abstinence at 3- and 6-month follow-ups. Compared to baseline, however, participants in both groups reduced CO by an estimated 15.6 ppm during the intervention phases. The results suggest that the contingency for negative COs promoted higher rates of abstinence during treatment, and that other elements of the system, such as feedback, frequent monitoring, and goals, reduced smoking.

Implementation of an online pragmatic randomized controlled trial: a methodological case study

Rigorous evaluation of eHealth interventions is acutely needed but can be challenging to execute in a cost- and time-efficient way. The purpose of this study is to describe a randomized controlled trial carried out as part of an approach that evaluates and informs product development throughout an intervention's life cycle. We present the methodological case of a pragmatic randomized controlled trial evaluating the effectiveness of the web-based intervention "Daily Challenge." We conducted the trial entirely online and leveraged existing resources to implement it quickly and within budget. One thousand five hundred three participants were recruited in 49 days (17.1 % of candidates assessed for eligibility). Then, 68.7 % of participants were reached for follow-up at 30 days and 62.5 % at 90 days. Data collection (baseline to 90-day follow-up) was completed within 5 months. Rigorous trials can be conducted efficiently and in a timely manner, enabling evaluation on a continuous basis. Development should include ongoing empirical input to inform product iterations.

Community management that works: how to build and sustain a thriving online health community

Health care professionals, patients, caregivers, family, friends, and other supporters are increasingly joining online health communities to share information and find support. But social Web (Web 2.0) technology alone does not create a successful online community. Building and sustaining a successful community requires an enabler and strategic community management. Community management is more than moderation. The developmental life cycle of a community has four stages: inception, establishment, maturity, and mitosis. Each stage presents distinct characteristics and management needs. This paper describes the community management strategies, resources, and expertise needed to build and maintain a thriving online health community; introduces some of the challenges; and provides a guide for health organizations considering this undertaking. The paper draws on insights from an ongoing study and observation of online communities as well as experience managing and consulting a variety of online health communities. Discussion includes effective community building practices relevant to each stage, such as outreach and relationship building, data collection, content creation, and other proven techniques that ensure the survival and steady growth of an online health community.

"After all--it doesn't kill you to quit smoking": an explorative analysis of the blog in a smoking cessation intervention

BACKGROUND

A growing body of literature demonstrates internet-based smoking cessation interventions as a promising aid in helping people quit smoking. However, the underlying mechanisms of how these interventions influence the cessation process are still relatively unknown. Several studies have indicated blogging as a potential source in providing social support to users of internet-based smoking cessation interventions and thereby enhance their change of succeeding in quitting.

OBJECTIVE

The study aimed to investigate themes discussed on a blog in an internet-based smoking cessation intervention. In addition, we examined if blogging could provide social support for people in a smoking cessation process.

METHOD

The study was based on messages posted from 1 January 2012 to 29 February 2012 on the blog of the internet-based smoking cessation programme DDSP, operated by the Danish Cancer Society. Messages were coded according to themes using Grounded Theory, and additionally data about bloggers were analyzed.

RESULT

In total, 1663 messages were posted within the 2-month period, and we identified 16 themes. The majority of messages contained personal stories or experiences (53%), provided emotional support (34%) or congratulated other users (17%). The messages were found capable of supplying social support to members on the blog. In addition, we found that only a minority of users who viewed the blog participated actively in posting messages, and only a minority was highly active bloggers.

CONCLUSIONS

The blog offers a unique platform for informal conversations about quitting smoking and is important in providing social support to people in a smoking cessation process.

Using a resource effect study pre-pilot to inform a large randomized trial: the Decide2Quit.Org Web-assisted tobacco intervention

Resource effect studies can be useful in highlighting areas of improvement in informatics tools. Before a large randomized trial, we tested the functions of the Decide2Quit.org Web-assisted tobacco intervention using smokers (N=204) recruited via Google advertisements. These smokers were given access to Decide2Quit.org for six months and we tracked their usage and assessed their six months cessation using a rigorous follow-up. Multiple, interesting findings were identified: we found the use of tailored emails to dramatically increase participation for a short period. We also found varied effects of the different functions. Functions supporting "seeking social support" (Your Online Community and Family Tools), Healthcare Provider Tools, and the Library had positive effects on quit outcomes. One surprising finding, which needs further investigation, was that writing to our Tobacco Treatment Specialists was negatively associated with quit outcomes.

Online advertising to reach and recruit Latino smokers to an internet cessation program: impact and costs

BACKGROUND

Tobacco cessation among Latinos is a public health priority in the United States, particularly given the relatively high growth of this population segment. Although a substantial percentage of American Latinos use the Internet, they have not engaged in Web-based cessation programs as readily as other racial/ethnic subgroups. A lack of culturally specific advertising efforts may partly explain this disparity.

OBJECTIVE

Phase I of this study focused on the development of four Spanish-language online banner advertisements to promote a free Spanish-language smoking cessation website (es.BecomeAnEX.org). Phase II examined the relative effectiveness of the four banner ads in reaching and recruiting Latino smokers to the cessation website.

METHODS

In Phase I, 200 Spanish-speaking Latino smokers completed an online survey to indicate their preference for Spanish-language banner ads that incorporated either the cultural value of family (familismo) or fatalism (fatalismo). Ads included variations on message framing (gain vs loss) and depth of cultural targeting (surface vs deep). In Phase II, a Latin square design evaluated the effectiveness of the four preferred ads from Phase I. Ads were systematically rotated across four popular Latino websites (MySpace Latino, MSN Latino, MiGente, and Yahoo! en Español) over four months from August to November 2009. Tracking software recorded ad clicks and registrants on the cessation website. Negative binomial regression and general linear modeling examined the main and interacting effects of message framing and depth of cultural targeting for four outcomes: number of clicks, click-through rate, number of registrants, and cost per registrant.

RESULTS

In Phase I, smokers preferred the four ads featuring familismo. In Phase II, 24,829,007 impressions were placed, yielding 24,822 clicks, an overall click-through rate of 0.10%, and 500 registrants (2.77% conversion rate). Advertising costs totaled US $104,669.49, resulting in an overall cost per click of US $4.22 and cost per registrant of US $209.34. Website placement predicted all four outcomes (all P values < .01). Yahoo! en Español yielded the highest click-through rate (0.167%) and number of registrants (n = 267). The message framing and cultural targeting interaction was not significant. Contrary to hypotheses, loss-framed ads yielded a higher click-through rate than gain-framed ads (point estimate = 1.08, 95% CI 1.03 1.14, P = 0.004), and surface-targeted ads outperformed deep-targeted ads for clicks (point estimate = 1.20, 95% CI 1.13 1.28, P < .001), click-through rate (point estimate = 1.22, 95% CI 1.16 1.29, P < .001), and number of registrants (point estimate = 2.73, 95% CI 2.14 3.48, P < .001).

CONCLUSIONS

Online advertising can be an effective and cost-efficient strategy to reach and engage Spanish-speaking Latino smokers in an evidence-based Internet cessation program. Cultural targeting and smoking-relevant images may be important factors for banner ad design. Online advertising holds potential for Web-based cessation program implementation and research.

Towards Large-scale Twitter Mining for Drug-related Adverse Events

Drug-related adverse events pose substantial risks to patients who consume post-market or Drug-related adverse events pose substantial risks to patients who consume post-market or investigational drugs. Early detection of adverse events benefits not only the drug regulators, but also the manufacturers for pharmacovigilance. Existing methods rely on patients' "spontaneous" self-reports that attest problems. The increasing popularity of social media platforms like the Twitter presents us a new information source for finding potential adverse events. Given the high frequency of user updates, mining Twitter messages can lead us to real-time pharmacovigilance. In this paper, we describe an approach to find drug users and potential adverse events by analyzing the content of twitter messages utilizing Natural Language Processing (NLP) and to build Support Vector Machine (SVM) classifiers. Due to the size nature of the dataset (i.e., 2 billion Tweets), the experiments were conducted on a High Performance Computing (HPC) platform using MapReduce, which exhibits the trend of big data analytics. The results suggest that daily-life social networking data could help early detection of important patient safety issues.