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The development of mHealth applications is often driven by the investigators and developers with relatively little input from the targeted population. User input is commonly limited to “like/dislike” post- intervention consumer satisfaction ratings or device or application specific user analytics such as usability. However, to produce successful mHealth applications with lasting effects on health behaviors it is crucial to obtain user input from the start of each project and throughout development. The aim of this tutorial is to illustrate how qualitative methods in an iterative process of development have been used in two separate behavior change interventions (targeting smoking and alcohol) delivered through mobile technologies (ie, text messaging). A series of focus groups were conducted to assist in translating a face-to-face smoking cessation intervention onto a text message (short message service, SMS) delivered format. Both focus groups and an advisory panel were used to shape the delivery and content of a text message delivered intervention for alcohol risk reduction. An in vivo method of constructing message content was used to develop text message content that was consistent with the notion of texting as “fingered speech”. Formative research conducted with the target population using a participatory framework led to important changes in our approach to intervention structure, content development, and delivery. Using qualitative methods and an iterative approach that blends consumer-driven and investigator-driven aims can produce paradigm-shifting, novel intervention applications that maximize the likelihood of use by the target audience and their potential impact on health behaviors.

Objective: The purpose of this study was to gain insight about patterns of alcohol use and related consequences among heavy drinking community college students. Participants: About 26 community college students (Mean age 22.3 years, 46% men, 69% White) participated in this study between January and April 2013. Methods: Five qualitative focus group discussions were conducted during formative research preceding a text message intervention; participants were asked about common drinking behavior patterns among community college students, as well as how age and gender affect drinking. Sessions were audio-recorded and transcribed verbatim. Participants also completed a brief quantitative survey about their drinking behavior and its consequences. Results: Qualitative data identified several themes: (1) reasons for drinking; (2) drinking occasions; and (3) age- and experience-related differences in drinking, including patterns specific to community college students and women. Conclusion: Research is needed to develop innovative strategies to reduce alcohol harm in this understudied population.

Background: To increase physical activity among college students, new approaches are needed including the exploration of home-based exercise. However, research related to potential facilitators and barriers to exercising at home is limited. Purpose: The goal of this study was to develop a reliable and valid measure that can assess predictors of home exercise. Methods: A systematic approach was used to develop items for the new measure and to examine its psychometric properties. Principal component analysis (PCA) was used to investigate the internal structure of the measure. External validity and initial construct validity were examined using correlations of the new subscale measures with existing valid measures of exercise. Results: Two hundred thirty-two adults (65% women and 72% white) completed a cross-sectional survey. The final PCA solution resulted in a 28-item measure with 7 distinct subscales with individual item loadings ranging from 0.64 to 0.91. These subscales comprised 3 higher order scales of Barriers to Home Exercise, Benefits of Home Exercise, and Barriers to Public Exercise. All demonstrated good internal consistency and external validity. Discussion: The measure developed in this study delineates important predictors of home exercise. Translation to Health Education Practice: This measure can be used to develop tailored interventions to promote home-based exercise.

Little is known about the perceived barriers to quitting smoking among alcohol abusers. In addition to the usual barriers perceived by smokers, alcohol dependent smokers may have a few barriers unique to their addictive lifestyle. The Barriers to Quitting Smoking in Substance Abuse Treatment (BQS-SAT) was administered to 96 alcohol dependent smokers in residential substance abuse treatment. The BQS-SAT is designed to assess perceived barriers to quitting smoking among alcohol abusers using eleven true-false items. One open-ended item was included to gather information about potential additional barriers. The majority of respondents reported withdrawal-related barriers such as expecting to feel irritable, anxious, restless, and about half expected intolerable urges to smoke if they were to quit smoking, as most smokers do. However, concerns about effects on sobriety and needing cigarettes to cope with feeling down were also endorsed by almost half of the patients. Total number of perceived barriers was significantly related to smoking history, expected effects from smoking, and smoking temptation but was not associated with severity of alcohol use or dependence on admission. Providing corrective feedback about these barriers could be useful when addressing smoking with patients who have alcohol abuse or dependence. Keywords: Barriers; Quitting smoking; Nicotine dependence; Alcohol dependences

Existing instruments that assess the individual's relationship with technology tend to focus on negative constructs and assume that a high use of technology reflects pathology. Since technology use can be beneficial, there is a need for a more balanced instrument. An initial survey to assess the individual's relationship with their mobile phone was developed, checked for face validity and the resulting survey was administered online to students at local colleges. 146 adults (mean age=25.5 years) completed surveys. Principal Component Analysis with varimax rotation produced a final 27-item scale with factor loadings from .50 to .81, representing 4 components: "Usefulness", "Anxious Attachment", "Addiction" and "24/7" (continuous use). This study produced an instrument to assess multiple aspects of the individuals' relationship to their mobile phone. Additional work is needed to validate this measure in other populations, with larger samples, and to assess its predictive ability in mHealth interventions delivered through mobile phones.