PAs' attitudes about adolescent suicide screening: The Theory of Planned Behavior.

OBJECTIVE: Suicide is an increasing public health problem for adolescents and young adults. The purpose of this study was to identify the frequency of physician assistants' (PAs') self-reported adolescent suicide risk assessments and to elicit salient beliefs regarding behavioral attitudes, norm referents, control factors, and intention to conduct suicide risk assessment with adolescents. METHODS: A convenience sample of PAs completed an anonymous cross-sectional questionnaire. Relationships were assessed using bivariate analyses and qualitative theme analysis. RESULTS: Forty-three PAs completed the questionnaire. Many PAs supported suicide risk assessment screening as a strategy to identify adolescents who are suicidal at an earlier stage of their illness; lack of time during the visit and problematic parental involvement were identified as barriers. CONCLUSIONS: PAs recognized that screening adolescents for suicide ideation may help prevent suicides. Their practice behaviors, however, did not correspond to this belief.

A randomized controlled trial of intermittent theta burst stimulation to the medial prefrontal cortex for tobacco use disorder: Clinical efficacy and safety.

OBJECTIVE: This study aimed to evaluate the clinical efficacy and safety of administering intermittent theta burst stimulation (iTBS) to the medial prefrontal cortex for tobacco use disorder. METHODS: A randomized sham-controlled trial was conducted, with 38 participants receiving 28 sessions of active (n=25) or sham (n=13) iTBS (2 sessions/day, 600 pulses/session, 110% resting motor threshold, AFz target) along with smoking cessation education (Forever Free © booklets) over 14 visits. Primary outcomes included self-reported cigarette consumption and abstinence, verified by urinary cotinine tests. Secondary outcomes included symptoms of tobacco use disorder, negative mood, and safety/tolerability. RESULTS: Both active and sham groups reported reduced cigarette consumption (ß = -0.12, p = 0.015), cigarette craving (ß = -0.16, p = 0.002), and tobacco withdrawal symptoms (ß = -0.05, p < 0.001). However, there were no significant time x group interaction effects for any measure. Similarly, the two groups had no significant differences in urinary cotinine-verified abstinence. Adverse events occurred with similar frequency in both groups. CONCLUSION: There were no differences in cigarette consumption between the active and sham iTBS groups, both groups decreased cigarette consumption similarly. Further research is needed to compare iTBS to standard high-frequency rTMS and explore the potential differences in efficacy. Despite limitations, this study contributes to experimental design considerations for TMS as a novel intervention for tobacco and other substance use disorders, emphasizing the need for a more comprehensive understanding of the stimulation parameters and target sites.

Are Physician Assistants Able to Correctly Identify Prescribing Errors? A Cross-Sectional Study.

PURPOSE: (1) To describe how often physician assistant (PA) students correctly identify prescribing errors and (2) examine between-cohort differences on ability to correctly identify prescribing errors. METHODS: This was a cross-sectional study of 2 cohorts of PA students at one institution. Students were presented with 3 hypothetical prescriptions, 2 of which contained a prescribing error. For each prescription, students were asked to (1) identify whether an error occurred and (2) indicate the type of error. A simple Poisson regression model analyzed the data. RESULTS: We received responses from 130 students (72.6% response rate). Approximately 12% (12.3%, n = 16) correctly identified whether all 3 prescriptions were correct. The median number of correctly identified prescriptions was 1 (interquartile range = 1). There was not a statistically significant between-cohort difference identifying the correct number of prescriptions (ß = 0.27, P = .10). CONCLUSION: Physician assistant students' prescribing error identification was similar to previous research in medical and nursing students. Efforts to improve prescribing training are critical to ensure patient safety.

Psychosocial Indicators of Adolescent Alcohol, Cigarette, and Marijuana Use: An Analysis of Normalized, Harmonized, and Pooled Data.

We normalized, harmonized, and pooled 344,429 surveys collected from 106,470 research participants from 25 research studies that assessed past 30-day alcohol use, drunkenness, smoking cigarettes, using marijuana, and a host of psychosocial variables. After normalizing and harmonizing psychosocial measures, we completed analyses to examine the ability of psychosocial variables to serve as proxy indicators of use. Intentionality, peer descriptive normative beliefs, and age emerged as being of primary importance in indicating use. Additional variables - peer injunctive norms, beliefs about the positive and negative consequences of use, and attitudes - were also demonstrated to have the potential to serve as proxies in the assessment of substance use risk. There were developmental patterns in how intentionality and descriptive normative beliefs changed with age. Young adolescents had scores that are protective; they have positive intentionality and do not see the prevalence of alcohol and other drug use as widespread. These and other psychosocial variable's mean scores generally erode with age while the distribution of scores widens as youth grow older. The goal of analyses was to define age-related psychosocial profiles that can be used prospectively to estimate substance use risk. These profiles are useful in creating virtual control cases for evaluating disseminated prevention programs.

A Bayesian modeling approach for generalized semiparametric structural equation models.

In behavioral, biomedical, and psychological studies, structural equation models (SEMs) have been widely used for assessing relationships between latent variables. Regression-type structural models based on parametric functions are often used for such purposes. In many applications, however, parametric SEMs are not adequate to capture subtle patterns in the functions over the entire range of the predictor variable. A different but equally important limitation of traditional parametric SEMs is that they are not designed to handle mixed data types-continuous, count, ordered, and unordered categorical. This paper develops a generalized semiparametric SEM that is able to handle mixed data types and to simultaneously model different functional relationships among latent variables. A structural equation of the proposed SEM is formulated using a series of unspecified smooth functions. The Bayesian P-splines approach and Markov chain Monte Carlo methods are developed to estimate the smooth functions and the unknown parameters. Moreover, we examine the relative benefits of semiparametric modeling over parametric modeling using a Bayesian model-comparison statistic, called the complete deviance information criterion (DIC). The performance of the developed methodology is evaluated using a simulation study. To illustrate the method, we used a data set derived from the National Longitudinal Survey of Youth.

The Patient Assessment Questionnaire: initial validation of a measure of treatment effectiveness for patients with schizophrenia and schizoaffective disorder.

Investigation of patients' subjective perspective regarding the effectiveness - as opposed to efficacy - of antipsychotic medication has been hampered by a relative shortage of self-report measures of global clinical outcome. This paper presents data supporting the feasibility, inter-item consistency, and construct validity of the Patient Assessment Questionnaire (PAQ)-a self-report measure of psychiatric symptoms, medication side effects and general wellbeing, ultimately intended to assess effectiveness of interventions for schizophrenia-spectrum patients. The original 53-item instrument was developed by a multidisciplinary team which utilized brainstorming sessions for item generation and content analysis, patient focus groups, and expert panel reviews. This instrument and additional validation measures were administered, via Audio Computer-Assisted Self-Interviewing (ACASI), to 300 stable, medicated outpatients diagnosed with schizophrenia or schizoaffective disorder. Item elimination was based on psychometric properties and Item-Response Theory information functions and characteristic curves. Exploratory factor analysis of the resulting 40-item scale yielded a five factor solution. The five subscales (General Distress, Side Effects, Psychotic Symptoms, Cognitive Symptoms, Sleep) showed robust convergent (ß's=0.34-0.75, average ß=0.49) and discriminant validity. The PAQ demonstrates feasibility, reliability, and construct validity as a self-report measure of multiple domains pertinent to effectiveness. Future research needs to establish the PAQ's sensitivity to change.