Implementation of Electronic Health Record Integration and Clinical Decision Support to Improve Emergency Department Prescription Drug Monitoring Program Use.

STUDY OBJECTIVE(S): To evaluate the implementation of 3 electronic health record (EHR)-based interventions to increase prescription drug monitoring program (PDMP) use in the emergency department (ED): EHR-PDMP integration, addition of a PDMP risk score, and addition of EHR-based clinical decision support alert to review the PDMP when prescribing an opioid. METHODS: Three intervention stages were implemented using a prospective stepped-wedge design at 5 university-affiliated EDs split into 3 practice groups. The PDMP use and prescribing rates during the 3 stages were compared with baseline before EHR integration and a sustainability stage where the clinical decision support alert was removed, but EHR integration and risk score remained. Generalized linear mixed model with logit link function and a random intercept for clinicians was analyzed. RESULTS: The ED provider PDMP review before opioid prescribing was low in all stages. The highest review rate occurred during interruptive clinical decision support alerts, 23.8% (interquartile range 10.6 to 37.5). Overall, opioid prescribing declined, and PDMP review was not associated with a decrease in opioid prescribing. PDMP review was associated with a reduction in the probability of prescribing an opioid as the number of prior opioid prescriptions increased (odds ratio: 0.92 [95% confidence interval: 0.91 to 0.94] for every additional prescription). CONCLUSION: The EHR-PDMP integration did not increase PDMP use in the ED, but a PDMP risk score and a clinical decision support alert were associated with modest increases in the probability of PDMP review. When the PDMP is reviewed, ED clinicians are less likely to prescribe opioids to patients with a high number of prior opioid prescriptions.

Trends in Emergency Department Visits and Hospital Admissions in Health Care Systems in 5 States in the First Months of the COVID-19 Pandemic in the US.

Importance: As coronavirus disease 2019 (COVID-19) spread throughout the US in the early months of 2020, acute care delivery changed to accommodate an influx of patients with a highly contagious infection about which little was known. Objective: To examine trends in emergency department (ED) visits and visits that led to hospitalizations covering a 4-month period leading up to and during the COVID-19 outbreak in the US. Design, Setting, and Participants: This retrospective, observational, cross-sectional study of 24 EDs in 5 large health care systems in Colorado (n = 4), Connecticut (n = 5), Massachusetts (n = 5), New York (n = 5), and North Carolina (n = 5) examined daily ED visit and hospital admission rates from January 1 to April 30, 2020, in relation to national and the 5 states' COVID-19 case counts. Exposures: Time (day) as a continuous variable. Main Outcomes and Measures: Daily counts of ED visits, hospital admissions, and COVID-19 cases. Results: A total of 24 EDs were studied. The annual ED volume before the COVID-19 pandemic ranged from 13 000 to 115 000 visits per year; the decrease in ED visits ranged from 41.5% in Colorado to 63.5% in New York. The weeks with the most rapid rates of decrease in visits were in March 2020, which corresponded with national public health messaging about COVID-19. Hospital admission rates from the ED were stable until new COVID-19 case rates began to increase locally; the largest relative increase in admission rates was 149.0% in New York, followed by 51.7% in Massachusetts, 36.2% in Connecticut, 29.4% in Colorado, and 22.0% in North Carolina. Conclusions and Relevance: From January through April 2020, as the COVID-19 pandemic intensified in the US, temporal associations were observed with a decrease in ED visits and an increase in hospital admission rates in 5 health care systems in 5 states. These findings suggest that practitioners and public health officials should emphasize the importance of visiting the ED during the COVID-19 pandemic for serious symptoms, illnesses, and injuries that cannot be managed in other settings.

The Impact of Prescription Drug Monitoring Programs and Prescribing Guidelines on Emergency Department Opioid Prescribing: A Multi-Center Survey.

Objective: Emergency department (ED) providers are high volume but low quantity prescribers of opioid analgesics (OA). Few studies have examined differences in opioid prescribing decisions specifically among ED providers. The aim of this study was to describe OA prescribing decisions of ED providers at geographically diverse centers, including utilization of prescribing guidelines and prescription drug monitoring programs (PDMP). Methods: This was a multi-center cross-sectional Web-based survey of ED providers who prescribe OA. Respondents were asked about their OA prescribing decisions, their use of PDMPs, and their use of prescribing guidelines. Data was analyzed using descriptive statistics and chi-square tests of association were used to assess the relationship between providers' opioid prescribing decisions and independent covariates. Results: The total survey population was 957 individuals and 515 responded to the survey for an overall response rate of 54%. The frequency respondents prescribed different types of pain medication was variable between centers. of respondents were registered to access a PDMP, and were not aware whether their state had a PDMP. Forty percent (172/426) of respondents used OA prescribing guidelines, while 24% (103/426) did not, and 35% (151/426) were unaware of prescribing guidelines. No significant differences in OA prescribing decisions were found between groups either by use of PDMP or by guideline adherence. Conclusions: In this multi-center survey study of ED clinicians, OA prescribing varied between centers The utilization of prescribing guidelines and PDMPs was not associated with differences in OA prescribing decisions.

Opioid prescription fill rates after emergency department discharge.

PURPOSE: Opioid prescription fill rates and the time to fill after emergency department (ED) discharge were studied. METHODS: Data were evaluated for all patients discharged from the ED between September 1, 2011, who were February 1, 2012, who were diagnosed with one of the following: dental pain, jaw pain, flank pain, abdominal pain, pelvic pain, back pain, neck pain, knee pain, headache, fracture, or sprain. Clinical information was abstracted via computer algorithm, and prescription filling within 100 days of prescription writing was determined by cross-referencing patient demographics with the state prescription drug monitoring program. Logistic regression analysis and a Cox proportional hazards model were used to determine if any clinical and demographic characteristics were associated with fill rates or the time to fill, respectively. RESULTS: Of the 2243 patients who received an opioid prescription at ED discharge, 1775 (79%) filled it, with a median time to fill of 0 days. On adjusted analysis, characteristics associated with filling the opioid prescriptions included Caucasian race, being insured by the federal government or through a state indigent assistance program, a chief complaint of back pain, and a history of filling an opioid prescription within the past year. No characteristics were predictive of a prolonged time to filling. CONCLUSION: One in five patients who received an opioid prescription at discharge from an urban academic ED did not fill it. Several factors may be associated with a greater likelihood of filling, such as insurance status and history of filling an opioid prescription within the past year.