STOP-BANG screener vs objective obstructive sleep apnea testing among younger veterans with PTSD and insomnia: STOP-BANG does not sufficiently detect risk.

STUDY OBJECTIVES: Posttraumatic stress disorder (PTSD) and obstructive sleep apnea (OSA) cooccur even in veterans who are younger with lower body mass index. The STOP-BANG screener for OSA relies heavily on high blood pressure, age, and body mass index and may not generalize to veterans with PTSD. The inability to effectively screen veterans for OSA is problematic given negative outcomes of untreated OSA. METHODS: Our study compared the STOP-BANG to objective OSA diagnostic testing in 48 younger veterans (mean age 43.7 years; 43.8% Caucasian; 20.8% female) seeking treatment for PTSD and insomnia. Apnea-hypopnea events per hour (apnea-hypopnea index), recorded by NOX T3 sleep monitors, were used to diagnose OSA (apnea-hypopnea index ≥ 5 events/h). Logistic regressions examined how STOP-BANG cut-off scores (≥ 3 and ≥ 5) classified OSA status (apnea-hypopnea index ≥ 5 events/h). Follow-up chi-square goodness-of-fit tests examined single-item STOP-BANG performance in the OSA-positive subsample (n = 28). RESULTS: The STOP-BANG (≥ 3) had good sensitivity (92.6%) but poor specificity (47.6%) and negative (0.16) and positive (1.77) likelihood ratios. The STOP-BANG (≥ 5) led to improved specificity (76.19%), but sensitivity (37.04%) and positive (1.56)/negative likelihood ratios (0.83) were poor. Single-item OSA subgroup analyses revealed that body mass index, age, and neck circumference performed poorly, while tiredness and sex performed well. CONCLUSIONS: Findings suggest that the STOP-BANG correctly diagnosed OSA in some veterans but missed OSA in large number of younger veterans with PTSD. This suggests objective diagnostic OSA testing is needed in veterans with PTSD. Future research is needed to develop more accurate OSA screening measures in this population. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Integrated CBT-I on PE and PTSD Outcomes (Impact Study); URL: https://www.clinicaltrials.gov/ct2/show/NCT02774642; Identifier: NCT02774642. CITATION: Lyons R, Barbir LA, Owens R, Colvonen PJ. STOP-BANG screener vs objective obstructive sleep apnea testing among younger veterans with PTSD and insomnia: STOP-BANG does not sufficiently detect risk. J Clin Sleep Med. 2022;18(1):67-73.

Community service coordination for minority clients with disabilities: 10-step guidelines.

Although many resources are available to rehabilitation counselors to utilizing community resources for minority clients with disabilities, guidelines specific to service allocation are not easily available. The purpose of this article is to provide rehabilitation counselors with a simple, modifiable service allocation template for this purpose. A 10-step referral making process with real-world examples is presented. Special attention is given to ways in which counselors can appropriately allocate and monitor services when working with minority clients, followed by a case study demonstrating how the model may be applied.

ADA perceived disability claims: a decision-tree analysis.

INTRODUCTION: The purpose of this study is to examine the possible interactions of predictor variables pertaining to perceived disability claims contained in a large governmental database. Specifically, it is a retrospective analysis of US Equal Employment Opportunity Commission (EEOC) data for the entire population of workplace discrimination claims based on the "regarded as disabled" prong of the Americans with Disabilities Act (ADA) definition of disability. METHODS: The study utilized records extracted from a "master database" of over two million charges of workplace discrimination in the Integrated Mission System of the EEOC. This database includes all ADA-related discrimination allegations filed from July 26, 1992 through December 31, 2008. Chi squared automatic interaction detection (CHAID) was employed to analyze interaction effects of relevant variables, such as issue (grievance) and industry type. The research question addressed by CHAID is: What combination of factors are associated with merit outcomes for people making ADA EEOC allegations who are "regarded as" having disabilities? RESULTS: The CHAID analysis shows how merit outcome is predicted by the interaction of relevant variables. Issue was found to be the most prominent variable in determining merit outcome, followed by industry type, but the picture is made more complex by qualifications regarding age and race data. Although discharge was the most frequent grievance among charging parties in the perceived disability group, its merit outcome was significantly less than that for the leading factor of hiring.