Poor sleep quantity and quality may predispose FI adults to adverse health outcomes.

Background: Asthma is an important public health issue in the United States. eHealth technology offers a potential solution to asthma treatment adherence, but the relative effect of various types of eHealth interventions has not been systematically studied. Objectives: To systematically review the effectiveness of eHealth in improving adherence to inhaled corticosteroids (ICS) among patients with persistent asthma, as well as the satisfaction of patients undergoing eHealth interventions. Methods: Literature searches were conducted in five databases in August 2018. Included studies were randomized controlled trials comparing eHealth interventions versus usual care in improving adherence among patients prescribed ICS for persistent asthma. Quantitative synthesis was performed using a random effects model. Results: Eighty records were identified after removal of duplicates. Fifteen trials were eligible for qualitative synthesis. Included trials utilized: social media (n = 1), electronic health records (n = 1), telehealth (n = 6), and mHealth (n = 7). Twelve trials were eligible for quantitative synthesis. Results show a small but significant overall effect of eHealth interventions on adherence to ICS (Standardized Mean Difference (SMD) = 0.41, 95%CI = 0.02-0.79). Among the different types of eHealth interventions, a significant improvement in adherence was observed for mHealth interventions compared to usual care in a pooled analysis of 4 trials (SMD = 0.96, 95%CI = 0.28-1.64). However, there was considerable heterogeneity among studies. Patient satisfaction was evaluated in 5 trials comparing telehealth (n = 2) and mHealth (n = 3) with usual care. Participants found the interventions to be helpful and satisfactory. Conclusion: eHealth interventions, especially mHealth interventions, are effective and acceptable in improving patient adherence to ICS.

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The nonmedical use of prescription drugs is a widely recognized public health issue, and young adults are particularly vulnerable to their use. Behavioral economic drug purchase tasks capture an individual's strength of desire and motivation for a particular drug. We examined young adult prescription drug purchase and consumption patterns using hypothetical behavioral economic purchase tasks for prescription sedatives/tranquilizers, stimulants, and opiate pain relievers. We also examined relations between demand, use frequency, and Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) substance use disorder (SUD) symptoms, and sex differences in these relations. Undergraduate students who endorsed past-year prescription drug use (N = 393) completed an online questionnaire for course credit. Measures assessed substance use frequency and DSM-5 SUD symptoms. Hypothetical purchase tasks for sedatives, stimulants, and pain relievers assessed participants' consumption and expenditure patterns for these substances across 25 prices. Past-year prescription sedative, stimulant, and pain reliever use was endorsed by 138, 258, and 189 participants, respectively. Among these users, consumption for their respective substance decreased as a function of ascending price, as expected. Demand indices for a prescription drug were associated with each other and with use frequency and SUD symptoms, with variability across substances but largely not by sex. In addition, demand for prescription pain relievers differentially predicted symptoms independent of use, with differences for females and males. In conclusion, hypothetical consumption and expenditure patterns for prescription drugs were generally well described by behavioral economic demand curves, and the observed associations with use and SUD symptoms provide support for the utility of prescription drug purchase tasks.

BACKGROUND: Cardiovascular disease (CVD) is a major cause of mortality in the United States, representing the highest total expenditures among major diseases. To improve CVD-associated outcomes, medication therapy management (MTM) services have been included in essential health benefit packages offered by various health plans. Nevertheless, the impact of such MTM services on outcomes is still unclear, especially from the perspective of the self-insured employer.

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