Peer education appears to be an effective means of achieving an increase in fruit and vegetable intake among lower socioeconomic, multicultural adult employees.

AimsTo compare adherence (proportion of days covered [PDC]), persistence, and treatment patterns among patients with type 2 diabetes mellitus (T2DM) newly initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs). More specifically, the main objectives were to compare dulaglutide vs exenatide once weekly and dulaglutide vs liraglutide.MethodsPatients with T2DM newly initiating dulaglutide, albiglutide, exenatide once weekly, exenatide twice daily and liraglutide between November 2014 and April 2015 were hierarchically selected from Truven Health's MarketScan Research Databases. Propensity score matching was used to account for selection bias. Adherence to and persistence with the index GLP‐1RA, and switching and augmentation patterns were assessed during the 6‐month post‐index period.ResultsMean adherence for the matched cohorts was significantly higher for dulaglutide than for exenatide once weekly (0.72 vs 0.61; P < .0001) and liraglutide (0.71 vs 0.67; P < .0001). The percentage of patients achieving PDC ≥ 0.80 was significantly higher for dulaglutide compared with exenatide once weekly (54.2% vs 37.9%; P < .0001) and liraglutide (53.5% vs 44.3%; P < .0001). The mean (standard deviation) days on treatment for all matched patients was significantly higher for patients in the dulaglutide cohort compared with those in the exenatide once‐weekly (148.4 [55.4] vs 123.6 [61.6]; P < .0001) and liraglutide cohorts (146.0 [56.9] vs 137.4 [60.1]; P < .0001). A significantly lower proportion of patients on dulaglutide discontinued treatment compared with those on exenatide once weekly (26.2% vs 48.4%; P < .0001) and those on liraglutide (28.0% vs 35.6%; P < .0001).ConclusionsDulaglutide initiators had significantly higher adherence, were more persistent, and had lower discontinuation rates compared with initiators of exenatide once weekly or liraglutide during the 6‐month follow‐up period.

This study examines factors that contribute to the delayed use of medical care among Hispanics when chronic disease-related symptoms (warning signs) occur. As an adjunct to a larger project funded by the National Cancer Institute, this study accessed a population of primarily Hispanic, mostly male employees at public work sites in two Arizona counties. Through focus groups and a survey of employees, a model describing the factors underlying health care use was tested. Seriousness of symptoms has the most effect on visits to doctor, with more serious symptoms leading to prompter visits. Faith in God and seriousness of symptoms both are related to the search for a doctor one can trust. Also, a cluster of variables describing past bad experiences, practical barriers, and emotional avoidance are related to the desire to get advice or medical help from someone who is close; these influence the search for a trusted doctor, which in turn leads to prompter visits to doctor.

Psoriasis treatment responses are affected by patient characteristics. However, the literature does not contain reviews of factors that affect the response to biologic therapies. We therefore performed a comprehensive literature search to identify papers describing demographic, lifestyle, and clinical factors associated with response to biologic drug therapy in psoriatic patients. We found that age, gender, ethnicity, alcohol consumption, smoking, geographic location, age at diagnosis, duration and severity of psoriasis, and baseline C-reactive protein levels did not consistently affect response to biologic psoriasis therapy. However, increased body mass index (BMI) appears to adversely affect responses. It might therefore be valuable to include BMI as a stratification variable in future studies of psoriasis therapies and to consider a patient's weight or BMI when selecting a systemic psoriasis treatment.

Several factors either predictive of or associated with overall response to antidepressant treatment have been identified. Inclusion of factors predictive of response in the design of future trials may help tailor treatments to depression patients presenting to the average clinical practice, resulting in improved outcomes.