Prevalence of Digital Assessments among School Psychologists

Although digital assessment tools are becoming readily available, many school psychologists still rely on traditional paper-and-pencil methods. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), this study identified factors related to school psychologists’ Behavioral Intention (BI) to adopt digital assessments and their use behavior (UB). A quantitative cross-sectional survey design was used, along with a national sample of 121 practicing school psychologists from 27 states. Multiple regression, ANOVA, and moderation analyses tested three hypotheses. Results partially supported Hypothesis 1: Performance Expectancy was a significant predictor of both BI and UB, whereas Effort Expectancy was not significant in any models. Hypothesis 2 was largely supported, as Facilitating Conditions and Social Influence were both significant predictors of BI and UB, with Social Influence demonstrating a slightly stronger effect in both models. District type did not significantly differ across either outcome. Hypothesis 3 was partially supported, as the interaction between years of experience and graduate training significantly predicted BI but not UB. These findings suggest that school psychologists\u27 beliefs about the usefulness of digital tools, combined with the social and institutional environments in which they work, are the primary drivers of adoption. Implications for graduate training programs, district leadership, and policy are discussed

Integrating Oral THC:CBD Into Chronic Neuropathic Pain Management in Primary Care: A Two-Patient Observational Case Series

Introduction: Cannabis use among U.S. adults has increased substantially in recent years, and primary care physicians increasingly encounter patients using cannabis for chronic pain management. This case series describes two patients with chronic neuropathic pain participating in an observational study evaluating a dose-controlled oral tetrahydrocannabinol (THC): cannabidiol (CBD) formulation. Methods: Two participants completed a four-week program involving incremental oral administration of a 1:1 THC:CBD formulation. Pain intensity scores, medication use, and health-related quality of life (HRQoL) were assessed before and after the intervention. Results: Both participants reported reductions in pain intensity and decreased reliance on pre-study analgesic medications. Improvements were observed across multiple HRQoL domains, particularly in social functioning and perceived health. Conclusions: These cases suggest that an oral THC:CBD formulation may be associated with improvements in pain intensity and selected HRQoL measures in patients with chronic neuropathic pain. As an observational case series, these findings are exploratory and highlight considerations relevant to integrated primary care management of chronic pain

Did A.T. Still, DO, have an MD degree?

A.T. Still, DO (1828–1917), founder of osteopathic medicine, was a licensed physician practicing in late 19th- and early 20th-century America. Although many assume he held an MD degree, the reality is more complex. Examining whether Dr. Still earned an MD degree provides important insight into the origins of osteopathic medicine and the profession that followed

Psychological Testing and Its Ability to Predict Job Performance Scores in Law Enforcement

Pre-employment psychological evaluations are used for identifying police candidates who would likely demonstrate effective performance or may pose a risk for engaging in behaviors deemed as unprofessional and inappropriate. Personality measures such as the Minnesota Multiphasic Personality Inventory (MMPI) are often used to predict negative job-relevant behaviors in law enforcement personnel. However, a newly published personality measure has been published to analyze positive and negative attributes in police candidates, the Multidimensional Personality Questionnaire (MPQ). The purpose of this current study is to determine whether a combination of MMPI-3 and MPQ subscales can predict Overall Job Performance scores and Rehirability rating of police officers after a 1-year probationary period. Job Performance scores and Rehirability of police officers is determined using the Selection Validation Survey, completed by the police officer’s department

AI prompts for clinical questions: Evaluating information literacy frameworks in health sciences education

This exploratory study evaluates evidence-based AI information literacy strategies for health sciences professionals by comparing two prompt engineering frameworks: the CLEAR (Concise, Logical, Explicit, Adaptive, and Reflective) framework and the PICO (Population/Patient/Problem, Intervention, Comparison/Control, and Outcome) model. Nineteen fourth-year medical students participated in a crossover-design study involving three instructional sessions on using an AI-assisted interdisciplinary database to respond to patient-care scenarios. Participants\u27 prompts were analyzed for word count, format, and keyword usage. Results showed that prompt instructions influenced construction patterns: participants using PICO created more question-based prompts and demonstrated lower variability in prompt length. Both frameworks increased word count and age-related keyword inclusion over time. While both frameworks led to more detailed prompts, all 7 participants in the post-search interviews stated they preferred PICO for its clarity and direct clinical applicability. The health literature-based AI instruction was highly valued, with participants appreciating the credibility and transparency of AI-provided peer-reviewed sources. These findings emphasize the importance of context-specific, domain-relevant frameworks in AI literacy training for health sciences professionals, suggesting that effective health sciences-focused AI tools must provide reliable sources and features tailored to clinical decision-making needs. The results suggest that health sciences librarians can contribute greatly by integrating information literacy and AI prompt engineering into evidence-based professional education

Expert Validation of a Professional Development Model for K–2 Emotional Regulation

Emotional regulation (ER) is foundational to student learning, behavior, and long-term educational success and well-being; however, many elementary educators report limited formal preparation in explicitly teaching ER skills. The purpose of this study was to design a professional development (PD) program for K–2 teachers focused on ER and to evaluate its content validity through expert review. The framework was grounded in Gross’s process model of ER, Desimone’s core features of effective PD, and Sims’s dynamic IMTP framework. A researcher-developed rubric was used to evaluate alignment, clarity, theoretical grounding, and feasibility. Five experts in various roles within the field of education reviewed the PD materials and completed a 4-point relevance rating scale. Item-level Content Validity Index (I-CVI) scores were calculated for each rubric item, and a Scale-Level Content Validity Index using the average method (S-CVI/Ave) was computed to determine overall content validity. Results indicated strong expert agreement, with an S-CVI/Ave of .98. Qualitative thematic analysis identified strengths in theoretical alignment and practical application, along with recommendations for increased classroom modeling and clarification of developmental progression. Findings establish preliminary content validity of the PD framework and support progression to pilot implementation and evaluation of teacher practice and student outcomes

Challenging cases in infection prevention and control: proceedings from SHEA Spring 2025.

Hospital epidemiologists and infection prevention professionals are frequently required to make high-stakes decisions in complex clinical scenarios where evidence-based guidance is limited or absent. These decisions often carry significant implications for patient safety, healthcare worker protection, hospital operations, and legal or financial risk. This article presents three challenging cases originally featured during the Interesting Cases session at the Society for Healthcare Epidemiology of America (SHEA) Spring 2025 Conference, with the goal of sharing practical lessons learned and contributing to the evolving literature in healthcare epidemiology. The first case describes the intraoperative contamination of a polyethylene liner during emergency revision total hip arthroplasty, highlighting limited data guiding implant salvage and the role of antiseptic decontamination, interdisciplinary communication, and institutional preparedness. The second case examines infection prevention risks associated with a temporary hospital heating, ventilation, and air conditioning (HVAC) shutdown during a COVID-19 surge, emphasizing the use of real-time ventilation assessment tools such as carbon dioxide monitoring to guide mitigation strategies. The third case details the application of failure mode and effect analysis (FMEA) to develop an infection prevention and control policy for the educational use of non-transplant cadaveric tissue in patient care areas-an area with no existing guidelines. Collectively, these cases illustrate the realities of decision-making under uncertainty in hospital epidemiology and demonstrate how structured risk assessment, proactive planning, and cross-disciplinary collaboration can mitigate potential harm. Sharing these experiences provides practical insights and reinforces that, even in the absence of definitive guidance, systematic approaches can support safe infection prevention decision-making

The Evolution of Medication Safety in Pregnancy

With over 90% of pregnant women using medication, pregnancy pharmacoepidemiology has had to evolve from spotting obvious disasters to deciphering subtle signals in large datasets. This keynote traces the detective work of evaluating medication safety from the tragedy of thalidomide to the modern-day controversy surrounding acetaminophen, while discussing the challenges and lessons learned from these historical examples

Intermittent androgen deprivation therapy for biochemical recurrence or prostate-specific antigen (PSA) persistence after radical prostatectomy: efficacy and prognostic factors

Background: The optimal protocol for intermittent androgen deprivation therapy (IAD) in managing biochemical recurrence (BCR) and persistent prostate-specific antigen (PSA) levels after radical prostatectomy (RP) remains undefined. This study aimed to introduce a novel IAD protocol, conduct an initial assessment of the protocol’s effectiveness in real-world settings, and develop a risk-based model to identify patients most likely to benefit from this approach. Methods: This study included 175 post-RP patients receiving IAD, with a median follow-up of 44.77 months [interquartile range (IQR), 31.87–69.50 months] post-androgen deprivation therapy (ADT). The IAD protocol used a PSA threshold of 0.2 ng/mL to define progression during the first intermittent phase. Key clinical and pathological parameters, including PSA kinetics and testosterone levels, were analyzed. Cox regression assessed the duration of the first intermittent phase, while logistic regression analyses identified factors associated with the efficacy of ADT in the second treatment phase. Nomograms were developed for clinical applications. Results: Cox regression analysis revealed that the duration of the first intermittent phase was significantly associated with castration-resistant prostate cancer (CRPC)-free survival. Pathological Gleason grade group 5 (GGG 5) was a risk factor for a shorter first intermittent phase, while PSA doubling time (PSADT) ≥3.32 months and testosterone doubling time (TDT) ≥5.03 months were protective factors. Logistic regression identified combined metformin use, testosterone recovery to normal levels during the first intermittent phase, and a PSA response rate ≥90% after the first luteinizing hormone-releasing hormone (LHRH) injection in the first treatment cycle as protective factors against a PSA response rate \u3c 90% during salvage ADT in the second treatment phase [area under the curve (AUC) =0.84]. Conclusions: The duration of the first intermittent phase was a significant predictor of CRPC-free survival. PSADT, TDT, and pathological GGG 5 were independent predictors of this duration. Furthermore, combined metformin use appeared to preserve ADT sensitivity in patients with PSA progression during the first intermittent phase

Autologous Fat Grafting of the Periorbital and Midface Areas.

Autologous fat grafting to the midface and periorbital regions offers a powerful solution for addressing age-related facial volume descent and depletion, contributing to a rejuvenated appearance. Herein, we explore the biological principles of fat grafting, the methodology for harvesting, processing, and injecting fat, and its application in facial aesthetics. We describe the role of different types of autologous fat in restoring volume and improving skin texture and quality. Finally, we discuss the evolving techniques aimed at enhancing graft retention and aesthetic outcomes with a focus on the midface and periorbital regions