Honaker, SarahDugan, TamaraDaftary, AmeetDavis, StephanieSaha, ChandanBaye, FitsumFreeman, EmilyDowns, Stephen2018-02-162018-02-162018Honaker, S., Dugan, T., Daftary, A., Davis, S., Saha, C., Baye, F., … Downs, S. (2018). Unexplained Practice Variation in Primary Care Providers’ Concern for Pediatric Obstructive Sleep Apnea. Academic Pediatrics. https://doi.org/10.1016/j.acap.2018.01.011https://hdl.handle.net/1805/15225Objective To examine primary care provider (PCP) screening practice for obstructive sleep apnea (OSA) and predictive factors for screening habits. A secondary objective was to describe the polysomnography (PSG) completion proportion and outcome. We hypothesized that both provider and child health factors would predict PCP suspicion of OSA. Methods A computer decision support system that automated screening for snoring was implemented in five urban primary care clinics in Indianapolis, Indiana. We studied 1086 snoring children between 1 and 11 years seen by 26 PCPs. We used logistic regression to examine the association between PCP suspicion of OSA and child demographics, child health characteristics, provider characteristics, and clinic site. Results PCPs suspected OSA in 20% of snoring children. Factors predicting PCP concern for OSA included clinic site (p < .01; OR=0.13), Spanish language (p < .01; OR=0.53), provider training (p=.01; OR=10.19), number of training years (p=.01; OR=4.26) and child age (p<.01), with the youngest children least likely to elicit PCP concern for OSA (OR=0.20). No patient health factors (e.g., obesity) were significantly predictive. Proportions of OSA suspicion were variable between clinic sites (range 6% to 28%) and between specific providers (range 0% to 63%). Of children referred for PSG (n=100), 61% completed the study. Of these, 67% had OSA. Conclusions Results suggest unexplained small area practice variation in PCP concern for OSA amongst snoring children. It is likely that many children at-risk for OSA remain unidentified. An important next step is to evaluate interventions to support PCPs in evidence-based OSA identification.enPublisher Policycomputer decision supportprimary care providersleep disordersArticle