scholarly journals Developing an optimal short‐form of the PTSD Checklist for DSM‐5 (PCL‐5)

2019 ◽  
Vol 36 (9) ◽  
pp. 790-800 ◽  
Author(s):  
Kelly L. Zuromski ◽  
Berk Ustun ◽  
Irving Hwang ◽  
Terence M. Keane ◽  
Brian P. Marx ◽  
...  
Keyword(s):  
Short Form ◽  
Dsm 5 ◽  
Ptsd Checklist

27 ways to meet PTSD: Using the PTSD-checklist for DSM-5 to examine PTSD core criteria

2018 ◽  
Vol 261 ◽  
pp. 504-507 ◽  
Author(s):  
C. Laurel Franklin ◽  
Amanda M. Raines ◽  
Lisa-Ann J. Cuccurullo ◽  
Jessica L. Chambliss ◽  
Kelly P. Maieritsch ◽  
...  
Keyword(s):  
Dsm 5 ◽  
Ptsd Checklist

Validation of Abbreviated Four‐ and Eight‐Item Versions of the PTSD Checklist for DSM‐5 in a Traumatically Injured Sample

2020 ◽  
Vol 33 (3) ◽  
pp. 218-226
Author(s):  
Timothy J. Geier ◽  
Joshua C. Hunt ◽  
Jessica L. Hanson ◽  
Katelyn Heyrman ◽  
Sadie E. Larsen ◽  
...  
Keyword(s):  
Dsm 5 ◽  
Ptsd Checklist

A data-driven method for identifying shorter symptom criteria sets: the case for DSM-5 alcohol use disorder

2018 ◽  
Vol 49 (6) ◽  
pp. 931-939 ◽  
Author(s):  
Cheryl D. Raffo ◽  
Deborah S. Hasin ◽  
Paul Appelbaum ◽  
Melanie M. Wall
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Short Form ◽  
Data Driven ◽  
Short Forms ◽  
Dsm 5 ◽  
Epidemiologic Survey ◽  
Sas Macro ◽  
Continuous Improvement Model ◽  
Sum Scores

AbstractBackgroundAlthough the DSM is a widely used diagnostic guide, lengthy criteria sets can be problematic and provide the primary motivation to identify short-forms. Using the 11 diagnostic criteria provided by the DSM-5 for alcohol use disorder (AUD), the present study develops a data-driven method to systematically identify subsets and associated cut-offs that yield diagnoses as similar as possible to use all 11 criteria.MethodRelying on data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III), our methodology identifies diagnostic short-forms for AUD by: (1) maximizing the association between the sum scores of all 11 criteria with newly constructed subscales from subsets of criteria; (2) optimizing the similarity of AUD prevalence between the current DSM-5 rule and newly constructed diagnostic short-forms; (3) maximizing sensitivity and specificity of the short-forms against the current DSM-5 rule; and (4) minimizing differences in the accuracy of the short-form across chosen covariates. Replication is shown using NESARC-Wave 2.ResultsMore than 11 000 diagnostic short-forms for DSM-5 AUD can be created and our method narrows down the optimal choices to eight. Results found that ‘Neglecting major roles’ and ‘Activities given up’ could be dropped with practically no change in who is diagnosed (specificity = 100%, sensitivity ⩾ 99.6%) or the severity of those diagnosed (κ = 0.97).ConclusionsWith a continuous improvement model adopted by the APA for DSM revisions, we offer a data-driven tool (a SAS Macro) that identifies diagnostic short-forms in a systematic and reproducible way to help advance potential improvements in future DSM revisions.

scholarly journals 1081 Associations Among REM Density And Parasympathetic Activity, Nightmares, And Hyperarousal In Trauma-exposed Individuals

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A411-A412
Author(s):  
K I Oliver ◽  
J A Hinton ◽  
C Daffre ◽  
J Dominguez ◽  
J Seo ◽  
...  
Keyword(s):  
Parasympathetic Activity ◽  
Ptsd Diagnosis ◽  
Sleep Diaries ◽  
Dsm 5 ◽  
Ptsd Checklist ◽  
Rem Density ◽  
Ptsd Scale ◽  
Parasympathetic Tone ◽  
Item Scores ◽  
Frequency Power

Abstract Introduction Individuals with posttraumatic stress disorder (PTSD) exhibit autonomic hyperarousal and nightmares. We hypothesized that REM density (REMD) and REM heart rate variability would predict self-reported hyperarousal, nightmares, and PTSD diagnosis in trauma-exposed individuals. Methods Ninety-nine individuals (aged 18-40, 68 females) exposed to a DSM-5 PTSD criterion-A trauma within the past two years (48 meeting PTSD criteria) completed a night of ambulatory polysomnography (PSG) preceded by an acclimation night. REMD in scored sleep recordings were computed using the Matlab program written by Benjamin Yetton. Indices of parasympathetic tone during REM were computed using Kubios software and included Average Root Mean Square of the Successive Differences (RMSSD) and High Frequency power (HFpower). Participants completed two weeks of sleep diaries with nightmare questionnaire and completed the Clinician-Administered PTSD Scale (CAPS-5) and the PTSD Checklist for DSM-5 (PCL-5). Hyperarousal-item scores were computed from the PCL-5 without the sleep item (PCLhyp) and from the CAPS-5 (CAPShyp), and these scores (with their sleep items) were combined into a Composite Hyperarousal Index (CHI). Nightmare rate was the proportion of sleep diaries reporting a nightmare. Simple regressions measured associations among REMD, REM parasympathetic indices, hyperarousal measures, and nightmare rate. Results REMD did not significantly predict PTSD diagnosis or hyperarousal scores but did predict decreased parasympathetic activity for both RMSSD (p= 0.002, R= -0.316) and HFpower (p= 0.016 R= -0.250). REMD predicted increased nightmare rate (p= 0.011 R= 0.262). Parasympathetic tone was negatively correlated with CAPShyp, PCLhyp, and CHI for both RMSSD (p= 0.04, 0.011, <0.000, respectively) and HFpower (p= 0.051, 0.021, 0.010, respectively). Lower parasympathetic tone also predicted PTSD diagnosis with both RMSSD (p=0.012, t=2.559) and HFpower (p=0.010, t=2.627), but did not predict nightmare rate. Conclusion REMD predicted decreased parasympathetic tone and higher nightmare rate. Parasympathetic tone, but not REMD, predicted hyperarousal and PTSD diagnosis. Support R01MH109638

Utility of the Personality Inventory for DSM-5–Brief Form (PID-5-BF) in the Measurement of Maladaptive Personality and Psychopathology

Assessment ◽  
2016 ◽  
Vol 25 (5) ◽  
pp. 596-607 ◽  
Author(s):  
Jaime L. Anderson ◽  
Martin Sellbom ◽  
Randall T. Salekin
Keyword(s):  
Factor Structure ◽  
Short Form ◽  
Intraclass Correlation ◽  
Personality Inventory ◽  
External Criterion ◽  
Reliability Factor ◽  
Dsm 5 ◽  
Dimensional Measure ◽  
Scale Scores ◽  
Personality Psychopathology

The Diagnostic and Statistical Manual of Mental Disorders–Fifth edition ( DSM-5) Personality and Personality Disorders workgroup developed the Personality Inventory for the DSM-5 (PID-5) for the assessment of the alternative trait model for DSM-5. Along with this measure, the American Psychiatric Association published an abbreviated version, the PID-5–Brief form (PID-5-BF). Although this measure is available on the DSM-5 website for use, only two studies have evaluated its psychometric properties and validity and no studies have examined the U.S. version of this measure. The current study evaluated the reliability, factor structure, and construct validity of PID-5-BF scale scores. This included an evaluation of the scales’ associations with Section II PDs, a well-validated dimensional measure of personality psychopathology, and broad externalizing and internalizing psychopathology measures. We found support for the reliability of PID-5-BF scales as well as for the factor structure of the measure. Furthermore, a series of correlation and regression analyses showed conceptually expected associations between PID-5-BF and external criterion variables. Finally, we compared the correlations with external criterion measures to those of the full-length PID-5 and PID-5–Short form. Intraclass correlation analyses revealed a comparable pattern of correlations across all three measures, thereby supporting the use of the PID-5-BF as a screening measure of dimensional maladaptive personality traits.

Sign in / Sign up

Export Citation Format

Share Document