<p><strong>OBJECTIVES: </strong>To assess whether clinical decision support, using computerized sexually transmitted infection (STI) risk assessments, results in increased STI testing of adolescents at high risk for STI.</p>

<p><strong>STUDY DESIGN: </strong>In a 2-arm, randomized, controlled trial conducted at a single, urban, pediatric emergency department, adolescents completed a computerized sexual health survey. For patients assigned to the intervention arm, attending physicians received decision support to guide STI testing based on the sexual health survey-derived STI risk; in the usual care arm, decision support was not provided. We compared STI testing rates between the intervention and usual care groups, adjusting for potential confounding using multivariable logistic regression.</p>

<p><strong>RESULTS: </strong>Of the 728 enrolled patients, 635 (87.2%) had evaluable data (323 intervention arm; 312 usual care arm). STI testing frequency was higher in the intervention group compared with the usual care group (52.3% vs 42%; aOR 2 [95% CI 1.1, 3.8]). This effect was even more pronounced among the patients who presented asymptomatic for STI (28.6 vs 8.2%; aOR 4.7 [95% CI 1.4-15.5]).</p>

<p><strong>CONCLUSIONS: </strong>Providing sexual health survey-derived decision support to emergency department clinicians led to increased testing rates for STI in adolescents at high risk for infection, particularly in those presenting asymptomatic for infection. Studies to understand potential barriers to decision support adherence should be undertaken to inform larger, multicenter studies that could determine the generalizability of these findings and whether this process leads to increased STI detection.</p>

<p><strong>TRIAL REGISTRATION: </strong>ClinicalTrials.gov: NCT02509572.</p>

<p><strong>OBJECTIVE: </strong>The aim of this study was to examine geographic variation in pediatric low-acuity emergency medical services (EMS) use in Washington, DC.</p>

<p><strong>METHODS: </strong>This cross-sectional analysis of low-acuity EMS transports evaluated arrivals at 2 emergency departments and included 93% of pediatric transports in Washington, DC, during the study period. Low-acuity classification was defined as a triage emergency severity index of 4 or 5 not resulting in transfer, admission, or death. Logistic regression compared low-acuity visits arriving via EMS with all other low-acuity visits. Home zip code represented geographic location. Covariates included patient age, sex, race/ethnicity, hour of emergency department arrival, and insurance status.</p>

<p><strong>RESULTS: </strong>There were 45,454 low-acuity visits among children aged 0 to 17 years. Of these, 3304 (7.3%) arrived via EMS. The mean age was 5.6 (±5.0) years. Most were African American (84.3%) and had Medicaid insurance (87.3%). Geographic variation predicted EMS use. Adjusted odds ratios (ORs) of using EMS varied from 1.11 to 2.54 when compared with the lowest EMS use zip code. Odds of EMS use were higher among those with public insurance (adjusted OR [adj OR], 1.71; 95% confidence interval [CI], 1.46-2.00) and those with evening and overnight arrivals (evening arrival, adj OR of 1.65 and 95% CI of 1.47-1.86; overnight arrival, adj OR of 2.98 and 95% CI of 2.43-3.65).</p>

<p><strong>CONCLUSIONS: </strong>After adjusting for known covariates, residential zip code was associated with low-acuity EMS activation, stressing the importance of geographic variation in EMS use. Providing alternate means of transportation, or targeted education to certain residential areas, may decrease unnecessary EMS activation.</p>