Consolidating Emergency Department-specific Data to Enable Linkage with Large Administrative Datasets.

INTRODUCTION: The American Hospital Association (AHA) has hospital-level data, while the Centers for Medicare & Medicaid Services (CMS) has patient-level data. Merging these with other distinct databases would permit analyses of hospital-based specialties, units, or departments, and patient outcomes. One distinct database is the National Emergency Department Inventory (NEDI), which contains information about all EDs in the United States. However, a challenge with merging these databases is that NEDI lists all US EDs individually, while the AHA and CMS group some EDs by hospital network. Consolidating data for this merge may be preferential to excluding grouped EDs. Our objectives were to consolidate ED data to enable linkage with administrative datasets and to determine the effect of excluding grouped EDs on ED-level summary results. METHODS: Using the 2014 NEDI-USA database, we surveyed all New England EDs. We individually matched NEDI EDs with corresponding EDs in the AHA and CMS. A "group match" was assigned when more than one NEDI ED was matched to a single AHA or CMS facility identification number. Within each group, we consolidated individual ED data to create a single observation based on sums or weighted averages of responses as appropriate. RESULTS: Of the 195 EDs in New England, 169 (87%) completed the NEDI survey. Among these, 130 (77%) EDs were individually listed in AHA and CMS, while 39 were part of groups consisting of 2-3 EDs but represented by one facility ID. Compared to the individually listed EDs, the 39 EDs included in a "group match" had a larger number of annual visits and beds, were more likely to be freestanding, and were less likely to be rural (all P<0.05). Two grouped EDs were excluded because the listed ED did not respond to the NEDI survey; the remaining 37 EDs were consolidated into 19 observations. Thus, the consolidated dataset contained 149 observations representing 171 EDs; this consolidated dataset yielded summary results that were similar to those of the 169 responding EDs. CONCLUSION: Excluding grouped EDs would have resulted in a non-representative dataset. The original vs consolidated NEDI datasets yielded similar results and enabled linkage with large administrative datasets. This approach presents a novel opportunity to use characteristics of hospital-based specialties, units, and departments in studies of patient-level outcomes, to advance health services research.

Change in opioid policies in New England emergency departments, 2014 vs 2018.

OBJECTIVE: The U.S. opioid epidemic persists, yet it is unclear if opioid-related emergency department (ED) policies have changed. We investigated: 1) the prevalence of opioid use disorder (OUD) prevention and treatment policies in New England EDs in 2018, and 2) how these policies have changed since 2014. METHODS: Using the National Emergency Department Inventory-USA, we identified and surveyed all New England EDs in 2015 and 2019 about opioid-related policies in 2014 and 2018, respectively. The surveys assessed OUD prevention policies (to use a screening tool, access the Prescription Drug Monitoring Program [PDMP], notify primary care providers, prescribe/dispense naloxone) and treatment policies (to refer to recovery resources, prescribe/dispense buprenorphine). RESULTS: Of 194 EDs open in 2018, 167 (86 %) completed the survey. Of 193 EDs open in 2018 and 2014, 147 (76 %) completed both surveys. In 2018, the most commonly-reported policy was accessing the PDMP (96 %); the least commonly-reported policy was prescribing/dispensing buprenorphine to at risk patients (37 %). EDs varied in prescribing/dispensing naloxone: 35 % of EDs offered naloxone to ≥80 % of patients at risk of opioid overdose versus 33 % of EDs to <10 % of patients at risk. Most EDs (74 %) reported prescribing/dispensing buprenorphine to <10 % of patients with OUD. Comparing 2018 to 2014, the greatest difference in policy use was in prescribing/dispensing naloxone (+55 %, p < 0.001). CONCLUSION: Implementation of opioid-related ED policies increased between 2014 and 2018. Continued effort is needed to understand the extent to which policy implementation translates to clinical care, and to best translate evidence-based policies into clinical practice.