Personalized drinking feedback is an evidence-based and increasingly common way of intervening with high-risk college drinking. This article extends an earlier review by Walters and Neighbors (S. T. Walters & C. Neighbors, 2005, Feedback interventions for college alcohol misuse: What, why, and for whom? Addictive Behaviors, 30, 1168–1182) by reviewing the literature of published studies using personalized feedback as an intervention for heavy drinking among college students. This article updates and extends the original review with a more comprehensive and recent set of 41 studies, most of which were not included in the original article. This article also examines within-subject effect sizes for personalized feedback interventions (PFIs) for high-risk alcohol use and examines the content of PFIs more closely to provide insight on the most essential components that will guide the future development of feedback-based interventions. In general, PFIs appear to be reliably effective at reducing harmful alcohol misuse among college students. Some components are almost universally included (i.e., drinking profile and normative comparison), precluding inferences regarding their unique contribution. Significantly larger effect sizes were observed for interventions that included decisional balance, practical costs, and strategies to limit risks. The present research provides an important empirical foundation for determining the relative contribution of individual components and facets in the efficacy of PFIs.

HIV treatment requires lifelong adherence to medication regimens that comprise inconvenient scheduling, adverse side effects, and lifestyle changes. Antiretroviral adherence and treatment fatigue have been inextricably linked. Adherence in HIV-infected populations has been well investigated; however, little is known about treatment fatigue. This review examines the current state of the literature on treatment fatigue among HIV populations and provides an overview of its etiology and potential consequences. Standard systematic research methods were used to gather published papers on treatment fatigue and HIV. Five databases were searched using PRISMA criteria. Of 1,557 studies identified, 21 met the following inclusion criteria: (a) study participants were HIV-infected, (b) participants were prescribed antiretroviral medication, (c) the article referenced treatment fatigue, (d) the article was published in a peer-reviewed journal, and (e) text was available in English. Only seven articles operationally defined treatment fatigue, with three themes emerging throughout the definitions: (1) pill burden, (2) loss of desire to adhere to the regimen, and (3) nonadherence to regimens as a consequence of treatment fatigue. Based on these studies, treatment fatigue may be defined as “decreased desire and motivation to maintain vigilance in adhering to a treatment regimen among patients prescribed long-term protocols.” The cause and course of treatment fatigue appear to vary by developmental stage. To date, only structured treatment interruptions have been examined as an intervention to reduce treatment fatigue in children and adults. No behavioral interventions have been developed to reduce treatment fatigue. Further, only qualitative studies have examined treatment fatigue conceptually. Studies designed to systematically assess treatment fatigue are needed. Increased understanding of the course and duration of treatment fatigue is expected to improve adherence interventions, thereby improving clinical outcomes for individuals living with HIV.

Chronic pain in participants not on LTOT was associated with virologic failure. This reinforces the need to identify effective chronic pain treatments for persons living with HIV and investigate their impact on HIV outcomes. The apparent protective association between LTOT and virologic failure in those with pain merits further exploration.

Objective To examine the efficacy of a self-affirmation task in deterring college alcohol misuse and the importance of pre-existing beliefs in predicting subsequent behavior change. Participants Heavy drinking undergraduates (N=110) participated during the 2011–2012 academic year. Methods Participants were randomized to complete an affirmation or control task before reading an alcohol risk message. Alcohol-related beliefs and behaviors were assessed. Participants completed a two-week online follow-up assessing alcohol-related behaviors. Results Both groups reported increased perceived problem importance, but neither group displayed changes in personal risk. Follow-up assessment revealed similar, significant declines in peak consumption in both groups, with no significant between-group differences. Pre-existing beliefs accounted for 5 to 10 percent of variance in drinking outcomes. Conclusions An affirmation task does not seem to decrease defensive processing or alter high-risk drinking behaviors among college students and should not be utilized in lieu of more effective strategies.

Researchers have instituted a range of methodologies to increase access to HIV adherence interventions. This article reviews studies published through January 2014 utilizing computer-based delivery of such interventions to persons living with HIV. A systematic review of five databases identified ten studies (three RCTs, three pilot studies, three feasibility studies, and one single-group trial) that met the inclusion criteria. Descriptions of the interventions' content and characteristics are included. Interventions varied widely in terms of program structure, theoretical framework, and content. Only six studies reported medication adherence outcomes. Of these, four (five RCTS and one single group pre-post test) reported significant improvement in adherence using various measures, and two approached significance. Results suggest that computer-delivered adherence interventions are feasible and acceptable among both HIV-positive adolescents and adults. Definitive conclusions regarding clinical impact cannot be drawn due to the small number of adequately powered randomized trials in this review. Additional randomized controlled research is needed to draw inferences regarding intervention efficacy.