Assessment of APOE in atypical parkinsonism syndromes.

Atypical parkinsonism syndromes are a heterogeneous group of neurodegenerative disorders that include corticobasal degeneration (CBD), Lewy body dementia (LBD), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP). The APOE ε4 allele is a well-established risk factor for Alzheimer's disease; however, the role of APOE in atypical parkinsonism syndromes remains controversial. To examine the associations of APOE ε4 and ε2 alleles with risk of developing these syndromes, a total of 991 pathologically-confirmed atypical parkinsonism cases were genotyped using the Illumina NeuroChip array. We also performed genotyping and logistic regression analyses to examine APOE frequency and associated risk in patients with Alzheimer's disease (n = 571) and Parkinson's disease (n = 348). APOE genotypes were compared to those from neurologically healthy controls (n = 591). We demonstrate that APOE ε4 and ε2 carriers have a significantly increased and decreased risk, respectively, of developing Alzheimer's disease (ε4: OR: 4.13, 95% CI: 3.23-5.26, p = 3.67 × 10-30; ε2: OR: 0.21, 95% CI: 0.13-0.34; p = 5.39 × 10-10) and LBD (ε4: OR: 2.94, 95% CI: 2.34-3.71, p = 6.60 × 10-20; ε2: OR = OR: 0.39, 95% CI: 0.26-0.59; p = 6.88 × 10-6). No significant associations with risk for CBD, MSA, or PSP were observed. We also show that APOE ε4 decreases survival in a dose-dependent manner in Alzheimer's disease and LBD. Taken together, this study does not provide evidence to implicate a role of APOE in the neuropathogenesis of CBD, MSA, or PSP. However, we confirm association of the APOE ε4 allele with increased risk for LBD, and importantly demonstrate that APOE ε2 reduces risk of this disease.

Achieving Wellness: Monitoring the Success and Challenges of the Youth Health Indicator Program for Youth Treated in Outpatient Psychiatric Settings.

The youth health indicator (YHI) program was developed to improve health and reduce risk behaviors for youth treated in clinic and day treatment psychiatric settings. This study examined implementation of the YHI program and factors associated with BMI % change for youth participating in the program. Outpatient facilities which implemented the YHI program were surveyed (N = 10) and lessons learned were summarized. Mixed random effects repeated measures analysis was used to examine BMI % trajectory for youth admitted during 2010-2014 with BMI % measured (N = 6403). Treatment settings indicated a variety of strategies to undertake and sustain the YHI program. Factors associated with BMI % change over time were identified. The YHI program resulted in the development of a wide variety of programmatic innovations targeted at improving youth health. Continued work needs to be done to improve the health outcomes for youth in these treatment settings.

Access to Care for Youth in a State Mental Health System: A Simulated Patient Approach.

OBJECTIVE: To examine access to psychiatric care for adolescents with depression in outpatient specialty clinics within a state mental health system, using a simulated patient approach. METHOD: Trained callers posed as the mother of a 14-year-old girl with depression, following a script. A stratified random sample (n = 264) of 340 state-licensed outpatient mental health clinics that serve youth was selected. Clinics were randomly assigned to season and insurance condition. We examined whether access varied by season, clinic characteristics, and caller insurance type. Weighted logistic and linear mixed effects regression models were fitted to examine associations with appointment availability and wait times. RESULTS: Among clinics at which a treatment appointment could be scheduled, appointment availability differed by season. Clinics that had participated in state-sponsored trainings targeting access were more available. Wait times for treatment appointments varied by season and region. Wait times in New York City were shorter than in some other regions. Although callers were 4.1 times more likely to be able to schedule a psychiatry appointment in the spring, wait times for psychiatry appointments were significantly longer in the spring than in the summer (49.9 vs. 36.7 days). Wait times for therapy appointments were significantly shorter in community than in hospital clinics (19.1 days vs. 35.3 days). CONCLUSION: Access to psychiatric care for youth with depression was found to be variable in a state system. State-sponsored trainings on strategies to reduce wait times appear to improve care access. The simulated patient approach has promise for monitoring the impact of health care policy reforms on care quality measures.

Applying theory-driven approaches to understanding and modifying clinicians' behavior: what do we know?

OBJECTIVE: Despite major recent research advances, large gaps exist between accepted mental health knowledge and clinicians' real-world practices. Although hundreds of studies have successfully utilized basic behavioral science theories to understand, predict, and change patients' health behaviors, the extent to which these theories-most notably the theory of reasoned action (TRA) and its extension, the theory of planned behavior (TPB)-have been applied to understand and change clinician behavior is unclear. This article reviews the application of theory-driven approaches to understanding and changing clinician behaviors. METHODS: MEDLINE and PsycINFO databases were searched, along with bibliographies, textbooks on health behavior or public health, and references from experts, to find article titles that describe theory-driven approaches (TRA or TPB) to understanding and modifying health professionals' behavior. RESULTS: A total of 19 articles that detailed 20 studies described the use of TRA or TPB and clinicians' behavior. Eight articles describe the use of TRA or TPB with physicians, four relate to nurses, three relate to pharmacists, and two relate to health workers. Only two articles applied TRA or TPB to mental health clinicians. The body of work shows that different constructs of TRA or TPB predict intentions and behavior among different groups of clinicians and for different behaviors and guidelines. CONCLUSIONS: The number of studies on this topic is extremely limited, but they offer a rationale and a direction for future research as well as a theoretical basis for increasing the specificity and efficiency of clinician-targeted interventions.