Background Mobile technologies are a useful platform for the delivery of health behavior interventions. Yet little work has been done to create a rigorous and standardized process for the design of mobile health (mHealth) apps. This project sought to explore the use of the Information Systems Research (ISR) framework as guide for the design of mHealth apps. Methods Our work was guided by the ISR framework which is comprised of 3 cycles: Relevance, Rigor and Design. In the Relevance cycle, we conducted 5 focus groups with 33 targeted end-users. In the Rigor cycle, we performed a review to identify technology-based interventions for meeting the health prevention needs of our target population. In the ISR Design Cycle, we employed usability evaluation methods to iteratively develop and refine mock-ups for a mHealth app. Results Through an iterative process, we identified barriers and facilitators to the use of mHealth technology for HIV prevention for high-risk MSM, developed ‘use cases’ and identified relevant functional content and features for inclusion in a design document to guide future app development. Findings from our work support the use of the ISR framework as a guide for designing future mHealth apps. Discussion Results from this work provide detailed descriptions of the user-centered design and system development and have heuristic value for those venturing into the area of technology-based intervention work. Findings from this study support the use of the ISR framework as a guide for future mobile health (mHealth) app development. Conclusion Use of the ISR framework is a potentially useful approach for the design of a mobile app that incorporates end-users’ design preferences.

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Background Over two decades of research has been conducted using mobile devices for health related behaviors yet many of these studies lack rigor. There are few evaluation frameworks for assessing the usability of mHealth, which is critical as the use of this technology proliferates. As the development of interventions using mobile technology increase, future work in this domain necessitates the use of a rigorous usability evaluation framework. Methods We used two exemplars to assess the appropriateness of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating the usability of mHealth technology. In the first exemplar, we conducted 6 focus group sessions to explore adolescents’ use of mobile technology for meeting their health Information needs. In the second exemplar, we conducted 4 focus group sessions following an Ecological Momentary Assessment study in which 60 adolescents were given a smartphone with pre-installed health-related applications (apps). Data Analysis We coded the focus group data using the 9 concepts of the Health-ITUEM: Error prevention, Completeness, Memorability, Information needs, Flexibility/Customizability, Learnability, Performance speed, Competency, Other outcomes. To develop a finer granularity of analysis, the nine concepts were broken into positive, negative, and neutral codes. A total of 27 codes were created. Two raters (R1 & R2) initially coded all text and a third rater (R3) reconciled coding discordance between raters R1 and R2. Results A total of 133 codes were applied to Exemplar 1. In Exemplar 2 there were a total of 286 codes applied to 195 excerpts. Performance speed, Other outcomes, and Information needs were among the most frequently occurring codes. Conclusion Our two exemplars demonstrated the appropriateness and usefulness of the Health-ITUEM in evaluating mobile health technology. Further assessment of this framework with other study populations should consider whether Memorability and Error prevention are necessary to include when evaluating mHealth technology.

BackgroundWhile the human immunodeficiency virus (HIV) incidence rate has remained steady in most groups, the overall incidence of HIV among men who have sex with men (MSM) has been steadily increasing in the United States. eHealth is a platform for health behavior change interventions and provides new opportunities for the delivery of HIV prevention messages.ObjectiveThe purpose of this systematic review was to examine the use of eHealth interventions for HIV prevention in high-risk MSM.MethodsWe systematically searched PubMed, OVID, ISI Web of Knowledge, Google Scholar, and Google for articles and grey literature reporting the original results of any studies related to HIV prevention in MSM and developed a standard data collection form to extract information on study characteristics and outcome data.ResultsIn total, 13 articles met the inclusion criteria, of which five articles targeted HIV testing behaviors and eight focused on decreasing HIV risk behaviors. Interventions included Web-based education modules, text messaging (SMS, short message service), chat rooms, and social networking. The methodological quality of articles ranged from 49.4-94.6%. Wide variation in the interventions meant synthesis of the results using meta-analysis would not be appropriate.ConclusionsThis review shows evidence that eHealth for HIV prevention in high-risk MSM has the potential to be effective in the short term for reducing HIV risk behaviors and increasing testing rates. Given that many of these studies were short term and had other limitations, but showed strong preliminary evidence of improving outcomes, additional work needs to rigorously assess the use of eHealth strategies for HIV prevention in high-risk MSM.

BackgroundMobile technology has become a ubiquitous technology and can be particularly useful in the delivery of health interventions. This technology can allow us to deliver interventions to scale, cover broad geographic areas, and deliver technologies in highly tailored ways based on the preferences or characteristics of users. The broad use of mobile technologies supports the need for usability assessments of these tools. Although there have been a number of usability assessment instruments developed, none have been validated for use with mobile technologies.ObjectiveThe goal of this work was to validate the Health Information Technology Usability Evaluation Scale (Health-ITUES), a customizable usability assessment instrument in a sample of community-dwelling adults who were testing the use of a new mobile health (mHealth) technology.MethodsA sample of 92 community-dwelling adults living with HIV used a new mobile app for symptom self-management and completed the Health-ITUES to assess the usability of the app. They also completed the Post-Study System Usability Questionnaire (PSSUQ), a widely used and well-validated usability assessment tool. Correlations between these scales and each of the subscales were assessed.ResultsThe subscales of the Health-ITUES showed high internal consistency reliability (Cronbach alpha=.85-.92). Each of the Health-ITUES subscales and the overall scale was moderately to strongly correlated with the PSSUQ scales (r=.46-.70), demonstrating the criterion validity of the Health-ITUES.ConclusionsThe Health-ITUES has demonstrated reliability and validity for use in assessing the usability of mHealth technologies in community-dwelling adults living with a chronic illness.

Objective Over 15 million adolescents, many at high risk for pregnancy, use emergency departments (ED) in the United States annually, but little is known regarding reasons for failure to use contraceptives in this population. The purpose of this study was to identify the barriers to and enablers of contraceptive use among adolescent females using the ED and determine their interest in an ED-based pregnancy prevention intervention. Study Design We conducted semi-structured, open-ended interviews with females in an urban ED. Eligible females were 14-19 years old, sexually active, presenting for reproductive health complaints, and at risk for pregnancy, defined as non-use of effective (per the World Health Organization) contraception. Interviews were recorded, transcribed, and coded based on thematic analysis. Enrollment continued until no new themes emerged. A modified Health Belief Model guided the organization of the data. Results Participants (n=14) were predominantly Hispanic (93%), insured (93%), and in a sexual relationship (86%). The primary barrier to contraceptive use was perceived health risk, including effects on menstruation, weight, and future fertility. Other barriers consisted of mistrust in contraceptives, ambivalent pregnancy intentions, uncertainty about the future, partner's desire for pregnancy, and limited access to contraceptives. Enablers of past contraceptive use included the presence of a school-based health clinic and clear plans for the future. All participants were receptive to ED-based pregnancy prevention interventions. Conclusions The identified barriers and enablers influencing hormonal contraceptive use can be used to inform the design of future ED-based adolescent pregnancy prevention interventions.

Persons living with HIV (PLWH) are living longer but experiencing more adverse symptoms associated with the disease and its treatment. This study aimed to examine the impact of a mHealth application (app) comprised of evidence-based self-care strategies on the symptom experience of PLWH. We conducted a 12-week feasibility study with 80 PLWH who were randomized (1:1) to a mHealth app, mobile Video Information Provider (mVIP), with self-care strategies for improving 13 commonly experienced symptoms in PLWH or to a control app. Intervention group participants showed a significantly greater improvement than the control group in 5 symptoms: anxiety (p = 0.001), depression (p = 0.001), neuropathy (p = 0.002), fever/chills/sweat (p = 0.037), and weight loss/wasting (p = 0.020). Participants in the intervention group showed greater improvement in adherence to their antiretroviral medications (p = 0.017) as compared to those in the control group. In this 12-week trial, mVIP was associated with improved symptom burden and increased medication adherence in PLWH.

Mobile health (mHealth) technology can be a valuable tool in the management of chronic illnesses, including HIV. Qualitative research methods were used to identify the desired content and features of a mobile app for meeting and improving the healthcare needs of persons living with HIV (PLWH). We conducted six focus group sessions with 50 English-or Spanish-speaking PLWH in New York City. To inform data analysis and to illustrate how mHealth technology can be used as a persuasive strategy for improving the health of PLWH, we integrated Fogg's functional role triad for computing technology model with the self-determination theory to illustrate how mHealth technology can be used as a persuasive strategy for improving the health of PLWH. Participants suggested several tools for meeting their healthcare needs, including: reminders/alerts, lab results tracking, and notes on health status. mHealth technology can function as a social actor by providing chat boxes/forums, testimonials of lived experiences, and personal outreach. Examples of media that can be used as a persuasive technology include games/virtual rewards, coding of health tasks, and simulations on how to connect with PLWH. Findings from these focus groups can be used to design a mobile app for PLWH that is targeted to meet their healthcare needs.