Publications by authors named "Donielle Beiler"
Background: Medical marijuana (MMJ) is available in Pennsylvania, and participation in the state-regulated program requires patient registration and receiving certification by an approved physician. Currently, no integration of MMJ certification data with health records exists in Pennsylvania that would allow clinicians to rapidly identify patients using MMJ, as exists with other scheduled drugs. This absence of a formal data sharing structure necessitates tools aiding in consistent documentation practices to enable comprehensive patient care.
View Article and Find Full Text PDFBackground: Participant recruitment in rural and hard-to-reach (HTR) populations can present unique challenges. These challenges are further exacerbated by the need for low-cost recruiting, which often leads to use of web-based recruitment methods (eg, email, social media). Despite these challenges, recruitment strategy statistics that support effective enrollment strategies for underserved and HTR populations are underreported.
View Article and Find Full Text PDFVariability and concordance of sulcal patterns in the orbitofrontal cortex: A twin study.
Psychiatry Res Neuroimaging
August 2022
Sulcogyral patterns have been identified in the orbitofrontal cortex (OFC) based on the continuity of the medial and lateral orbital sulci. Pattern types are named according to their frequency in the population, with Type I present in ∼60%, Type II in ∼25%, Type III in ∼10%, and Type IV in ∼5%. Previous work has demonstrated that psychiatric conditions with high estimated heritability (e.
View Article and Find Full Text PDFArticle Synopsis
- Prescription opioids are often used to help people with severe pain, but some might end up having problems with using them too much (that's called opioid use disorder or OUD).
- Researchers are studying how different health and genetic factors influence who might develop OUD, using a large collection of health data.
- By understanding these factors better, doctors can find patients at risk and suggest other types of treatments that don't involve opioids.
Importance: Electronic health records are a potentially valuable source of information for identifying patients with opioid use disorder (OUD).
Objective: To evaluate whether proxy measures from electronic health record data can be used reliably to identify patients with probable OUD based on Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) criteria.
Design, Setting, And Participants: This retrospective cross-sectional study analyzed individuals within the Geisinger health system who were prescribed opioids between December 31, 2000, and May 31, 2017, using a mixed-methods approach.