Tilley Keith (metalteam8)

Mental health provider shortages in local labor markets are a barrier to successful implementation and sustainment of innovative and evidence-based mental health service-delivery models for people with serious mental illness. IMPLICATIONS FOR RESEARCH Data-capture techniques that seamlessly integrate insurance claims with clinical outcomes (e.g., from electronic health records) will better equip health economists and other end-users with rigorous research findings to inform public health policy and practice recommendations. Despite early signals of success, larger sample sizes and more rigorous research designs are needed to refine predictive models of functional outcomes of evidence-based service-delivery models (e.g., coordinated specialty care model including supported education, and supported employment) for people with first-episode psychosis.BACKGROUND Prescription of antidepressant drugs (ADs) has increased in recent decades, with rising costs for patients as well as for the health care system. There is sparse evidence of which factors explain the high economic costs and financial burden for the general population. BMS-265246 cost AIMS OF THE STUDY The aim was to assess individual-level determinants of out-of-pocket and total health care costs of AD use in the Swedish general population. METHODS We randomly sampled 400,000 individuals aged 18+ from Statistics Sweden's population register from 2010 to 2013. Two-part regression models were used for our two primary outcome variables (i) total health care costs for AD use per year and individual, and (ii) total out-of-pocket costs of AD use per year and individual. RESULTS Women, the unemployed, unmarried people and residents of big cities have both higher use of ADs and higher associated total health care and out-of-pocket costs. Today, ADs are relatively inexpensive and average cost differences among all groups aan other groups. IMPLICATIONS FOR HEALTH POLICIES AND FURTHER RESEARCH Our results offer insight at an aggregate level, and more information on the underlying causes of higher costs is needed to discern the policy implications.BACKGROUND Primary dysmenorrhea is a common condition in women of reproductive age. A previous app-based study undertaken by our group demonstrated that a smartphone app supporting self-acupressure introduced by a health care professional can reduce menstrual pain. OBJECTIVE This study aims to evaluate whether a specific smartphone app is effective in reducing menstrual pain in 18- to 34-year-old women with primary dysmenorrhea in a self-care setting. One group of women has access to the full-featured study app and will be compared with 2 control groups who have access to fewer app features. Here, we report the trial design, app development, user access, and engagement. METHODS On the basis of the practical implications of the previous app-based study, we revised and reengineered the study app and included the ResearchKit (Apple Inc) framework. Behavior change techniques (BCTs) were implemented in the app and validated by expert ratings. User access was estimated by assessing recruitment progress over time. U/ct2/show/NCT03432611 (Archived by WebCite at http//). ©Jiani Wang, Alizé A Rogge, Mike Armour, Caroline A Smith, Christopher R D’Adamo, Claudia R Pischke, Hung-Rong Yen, Mei-Yao Wu, Ari Ojeda Ocampo Moré, Claudia M Witt, Daniel Pach. Originally published in JMIR mHealth and uHealth (http//mhealth.jmir.org), 11.02.2020.Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer lacking targeted therapies. This is attributed to its high heterogeneity that complicates elucidation of its molecular aberrations. Here, we report identification of specific proteome expression profiles pertaining to two TNBC subclasses, basal A and basal B, through in-depth proteomics analysis of breast cancer cells. We observed that kinases and proteases displayed unique expression patterns within the su