38. Development of a Screening Tool to Identify PrEP-Eligible Youth in Primary Care

2021 ◽  
Vol 68 (2) ◽  
pp. S21-S22
Author(s):  
Natalie J. Labossier ◽  
Angela R. Bazzi ◽  
Kimberly M. Nelson ◽  
Eugene S.G. Massey ◽  
Julie Potter ◽  
...  
Keyword(s):  
CNS Spectrums ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 167-168
Author(s):  
C. Brendan Montano ◽  
Mehul Patel ◽  
Rakesh Jain ◽  
Prakash S. Masand ◽  
Amanda Harrington ◽  
...  

AbstractIntroductionApproximately 70% of patients with bipolar disorder (BPD) are initially misdiagnosed, resulting in significantly delayed diagnosis of 7–10 years on average. Misdiagnosis and diagnostic delay adversely affect health outcomes and lead to the use of inappropriate treatments. As depressive episodes and symptoms are the predominant symptom presentation in BPD, misdiagnosis as major depressive disorder (MDD) is common. Self-rated screening instruments for BPD exist but their length and reliance on past manic symptoms are barriers to implementation, especially in primary care settings where many of these patients initially present. We developed a brief, pragmatic bipolar I disorder (BPD-I) screening tool that not only screens for manic symptoms but also includes risk factors for BPD-I (eg, age of depression onset) to help clinicians reduce the misdiagnosis of BPD-I as MDD.MethodsExisting questionnaires and risk factors were identified through a targeted literature search; a multidisciplinary panel of experts participated in 2 modified Delphi panels to select concepts thought to differentiate BPD-I from MDD. Individuals with self-reported BPD-I or MDD participated in cognitive debriefing interviews (N=12) to test and refine item wording. A multisite, cross-sectional, observational study was conducted to evaluate the screening tool’s predictive validity. Participants with clinical interview-confirmed diagnoses of BPD-I or MDD completed a draft 10-item screening tool and additional questionnaires/questions. Different combinations of item sets with various item permutations (eg, number of depressive episodes, age of onset) were simultaneously tested. The final combination of items and thresholds was selected based on multiple considerations including clinical validity, optimization of sensitivity and specificity, and pragmatism.ResultsA total of 160 clinical interviews were conducted; 139 patients had clinical interview-confirmed BPD-I (n=67) or MDD (n=72). The screening tool was reduced from 10 to 6 items based on item-level analysis. When 4 items or more were endorsed (yes) in this analysis sample, the sensitivity of this tool for identifying patients with BPD-I was 0.88 and specificity was 0.80; positive and negative predictive values were 0.80 and 0.88, respectively. These properties represent an improvement over the Mood Disorder Questionnaire, while using >50% fewer items.ConclusionThis new 6-item BPD-I screening tool serves to differentiate BPD-I from MDD in patients with depressive symptoms. Use of this tool can provide real-world guidance to primary care practitioners on whether more comprehensive assessment for BPD-I is warranted. Use of a brief and valid tool provides an opportunity to reduce misdiagnosis, improve treatment selection, and enhance health outcomes in busy clinical practices.FundingAbbVie Inc.


2018 ◽  
Vol 234 ◽  
pp. 247-255 ◽  
Author(s):  
Antonio Cano-Vindel ◽  
Roger Muñoz-Navarro ◽  
Leonardo Adrián Medrano ◽  
Paloma Ruiz-Rodríguez ◽  
César González-Blanch ◽  
...  

2011 ◽  
Vol 86 (9) ◽  
pp. 733-737 ◽  
Author(s):  
Arch G. Mainous ◽  
Vanessa A. Diaz ◽  
Charles J. Everett ◽  
Michele E. Knoll ◽  
Mary M. Hulihan ◽  
...  

2018 ◽  
Vol 101 (1) ◽  
pp. 98-105
Author(s):  
Javier Romero Otero ◽  
Borja García Gómez ◽  
José Medina Polo ◽  
Esther García Rojo ◽  
Eduardo García Cruz ◽  
...  

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
T. K. Khera ◽  
A. Burston ◽  
S. Davis ◽  
S. Drew ◽  
R. Gooberman-Hill ◽  
...  

Abstract Summary The aim of this study is to produce an easy to use checklist for general practitioners to complete whenever a woman aged over 65 years with back pain seeks healthcare. This checklist will produce a binary output to determine if the patient should have a radiograph to diagnose vertebral fracture. Purpose People with osteoporotic vertebral fractures are important to be identified as they are at relatively high risk of further fractures. Despite this, less than a third of people with osteoporotic vertebral fractures come to clinical attention due to various reasons including lack of clear triggers to identify who should have diagnostic spinal radiographs. This study aims to produce and evaluate a novel screening tool (Vfrac) for use in older women presenting with back pain in primary care based on clinical triggers and predictors identified previously. This tool will generate a binary output to determine if a radiograph is required. Methods The Vfrac study is a two-site, pragmatic, observational cohort study recruiting 1633 women aged over 65 years with self-reported back pain. Participants will be recruited from primary care in two sites. The Vfrac study will use data from two self-completed questionnaires, a simple physical examination, a lateral thoracic and lateral lumbar radiograph and information contained in medical records. Results The primary objective is to develop an easy-to-use clinical screening tool for identifying older women who are likely to have vertebral fractures. Conclusions This article describes the protocol of the Vfrac study; ISRCTN16550671.


2019 ◽  
Vol 33 (6) ◽  
pp. 846-856 ◽  
Author(s):  
John H. Porcerelli ◽  
Christopher J. Hopwood ◽  
John R. Jones

A growing body of research supports the validity of the Personality Inventory for DSM-5 (PID-5) in evaluating community and psychiatric samples. Although maladaptive personality also has significant relevance in primary care settings, research on the PID-5 in primary care samples is limited. In this study, the authors examined the intercorrelations, convergent validity, and discriminant validity of the brief form of the PID-5 (PID-5-BF) in 100 primary care outpatients. Results are consistent with findings in other samples in suggesting that PID-5 domains are moderately intercorrelated and associated with a variety of mental health variables. Smaller associations with physical health variables support the discriminant validity of the instrument. Overall, results suggest that the PID-5-BF can provide a useful psychiatric screening tool in primary care settings.


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