Reducing the default dispense quantity for new opioid analgesic prescriptions: study protocol for a cluster randomised controlled trial

Reducing Opioid Analgesic Prescribing in Dentistry Through Prescribing Defaults: A Cluster-Randomized Controlled Trial

OBJECTIVE

To determine the effect of a uniform, reduced, default dispense quantity for new opioid analgesic prescriptions on the quantity of opioids prescribed in dentistry practices.

METHODS

We conducted a cluster-randomized controlled trial within a health system in the Bronx, NY, USA. We randomly assigned three dentistry sites to a 10-tablet default, a 5-tablet default, or no change (control). The primary outcome was the quantity of opioid analgesics prescribed in the new prescription. Secondary outcomes were opioid analgesic reorders and health service utilization within 30 days after the new prescription. We analyzed outcomes from 6 months before implementation through 18 months after implementation.

RESULTS

Overall, 6,309 patients received a new prescription. Compared with the control site, patients at the 10-tablet-default site had a significantly larger change in prescriptions for 10 tablets or fewer (38.7 percentage points; confidence interval [CI]: 11.5 to 66.0), lower number of tablets prescribed (-3.3 tablets; CI: -5.9 to -0.7), and lower morphine milligram equivalents (MME) prescribed (-14.1 MME; CI: -27.8 to -0.4), which persisted in the 30 days after the new prescription despite a higher percentage of reorders (3.3 percentage points; CI: 0.2 to 6.4). Compared with the control site, patients at the 5-tablet-default site did not have a significant difference in any outcomes except for a significantly higher percentage of reorders (2.6 percentage points; CI: 0.2 to 4.9).

CONCLUSIONS

Our findings further support the efficacy of strategies that lower default dispense quantities, although they indicate that caution is warranted in the selection of the default.

TRIAL REGISTRATION

ClinicalTrials.org ID: NCT03030469.

Can Use of Default Dispensing Quantities in Electronic Medical Record Lower Opioid Prescribing?

OBJECTIVES

Leftover opioids can contribute to misuse and abuse. Recommended dosing quantities in the electronic medical record can guide prescribing patterns. We hypothesized that decreasing the default from 30 doses to 12 doses would decrease the overall number of opioids prescribed without increasing second opioid prescriptions or additional health utilization.

METHODS

We performed a single-center retrospective study of children with forearm and elbow fractures who presented to the emergency department for evaluation and subsequent orthopedic follow-up between January 15, and September 19, 2017. The default dispensing quantity was decreased on June 1, 2016 from 30 doses to 12 doses. Patients were categorized to preintervention and postintervention groups. We compared the number of opioids prescribed, second opioid prescriptions, emergency department visits, and pain-related telephone calls and orthopedic visits with χ2 and logistic regression analyses.

RESULTS

There were 1107 patients included. Rates of opioid prescribing were similar preintervention and postintervention (61% vs 56%, P = 0.13). After the change to the default quantity, the median number of doses decreased from 18 to 12 doses, with opioid prescriptions of 30 or more doses dropping from 35% to 11%. No significant association was found between preintervention versus postintervention, opioid prescription at discharge, and having 1 or more pain-related or unexpected follow-up visits.

CONCLUSIONS

Lowering the default dispensing quantity of opioids in the electronic medical record decreases the number of opioids prescribed without increasing second prescriptions or additional health care utilization. These findings suggest that a further reduction in the number of opioids prescribed for upper-extremity fractures may be possible.

Factors Associated With Opioid Prescribing for Distal Upper Extremity Fractures at a Pediatric Emergency Department

OBJECTIVE

The aims of this study were to describe the prescribing patterns of oxycodone for patients with distal upper extremity fractures and to evaluate factors that influence the quantity of oxycodone prescribed at discharge.

METHODS

We retrospectively studied oxycodone prescriptions for patients with upper extremity fractures presenting to a single center tertiary pediatric emergency department (ED) from June 1, 2014, to May 31, 2016. We used logistic regression models to evaluate the association of opioid administration in the ED, fracture reduction under ketamine sedation, initial pain scores (low, medium, and high), patient demographics, and type of prescriber (residents, attendings, fellows, and advanced registered nurse practitioners) with oxycodone prescription at discharge and the number of doses prescribed (≤12 or >12 doses).

RESULTS

A total of 1185 patients met the inclusion criteria. Of these, 669 (56%) were prescribed oxycodone at discharge. Children with fractures requiring reduction had 13 times higher odds [95% confidence interval (CI), 9.45-20.12] of receiving an oxycodone prescription compared with children with fractures not requiring reduction. Opioid administration in the ED was associated with 7.5 times higher odds (95% CI, 5.41-10.51) of receiving an outpatient prescription. Children were more likely to have a higher quantity of oxycodone prescribed if they had a fracture reduction in the ED [odds ratio (OR), 1.73; 95% CI, 1.20-2.50], received an opioid in the ED (OR, 2.13; 95% CI, 1.43-3.20), or received their prescription from an emergency medicine resident (OR, 2.8; 95% CI, 1.44-5.74).

CONCLUSIONS

Opioid prescribing differs based on patient- and provider-related factors. Given the variability in prescribing patterns, changing suggested opioid prescriptions in the electronic medical record may lead to more consistent practice and therefore decrease unnecessary prescribing while still ensuring adequate outpatient analgesia.

Effect of Changing Electronic Health Record Opioid Analgesic Dispense Quantity Defaults on the Quantity Prescribed: A Cluster Randomized Clinical Trial

IMPORTANCE

Interventions to improve judicious prescribing of opioid analgesics for acute pain are needed owing to the risks of diversion, misuse, and overdose.

OBJECTIVE

To assess the effect of modifying opioid analgesic prescribing defaults in the electronic health record (EHR) on prescribing and health service use.

DESIGN, SETTING, AND PARTICIPANTS

A cluster randomized clinical trial with 2 parallel arms was conducted between June 13, 2016, and June 13, 2018, in a large urban health care system comprising 32 primary care and 4 emergency department (ED) sites in the Bronx, New York. Data were analyzed using a difference-in-differences method from 6 months before implementation through 18 months after implementation. Data were analyzed from January 2019 to February 2020.

INTERVENTIONS

A default dispense quantity for new opioid analgesic prescriptions of 10 tablets (intervention) vs no change (control) in the EHR.

MAIN OUTCOMES AND MEASURES

The primary outcome was the quantity of opioid analgesics prescribed with the new default prescription. Secondary outcomes were opioid analgesic reorders and health service use within 30 days after the new prescription. Intention-to-treat analysis was conducted.

RESULTS

Overall, 21 331 patients received a new opioid analgesic prescription from 490 prescribers. Comparing the intervention and control arms, site, prescriber, and patient characteristics were similar. For the new prescription, compared with the control arm, patients in the intervention arm had significantly more prescriptions for 10 tablets or fewer (7.6 percentage points; 95% CI, 6.1-9.2 percentage points), a lower number of tablets prescribed (-2.1 tablets; 95% CI, -3.3 to -0.9 tablets), and lower morphine milligram equivalents (MME) prescribed (-14.6 MME; 95% CI, -22.6 to -6.6 MME). Within 30 days after the new prescription, significant differences remained in the number of tablets prescribed (-2.7 tablets; 95% CI, -4.8 to -0.6 tablets), but not MME (-15.8 MME; 95% CI, -33.8 to 2.2 MME). Within this 30-day period, there were no significant differences between the arms in health service use.

CONCLUSIONS AND RELEVANCE

In this study, implementation of a uniform reduced default dispense quantity of 10 tablets for opioid analgesic prescriptions led to a modest reduction in the quantity prescribed initially, without significantly increasing health service use. However, during 30 days after implementation, the influence on prescribing was mixed. Reducing EHR default dispense quantities for opioid analgesics is a feasible strategy that can be widely disseminated and may modestly reduce prescribing.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03003832.

Patterns of Opioid Administration Among Opioid-Naive Inpatients and Associations With Postdischarge Opioid Use: A Cohort Study

BACKGROUND

Patterns of inpatient opioid use and their associations with postdischarge opioid use are poorly understood.

OBJECTIVE

To measure patterns in timing, duration, and setting of opioid administration in opioid-naive hospitalized patients and to examine associations with postdischarge use.

DESIGN

Retrospective cohort study using electronic health record data from 2010 to 2014.

SETTING

12 community and academic hospitals in Pennsylvania.

PATIENTS

148 068 opioid-naive patients (191 249 admissions) with at least 1 outpatient encounter within 12 months before and after admission.

MEASUREMENTS

Number of days and patterns of inpatient opioid use; any outpatient use (self-report and/or prescription orders) 90 and 365 days after discharge.

RESULTS

Opioids were administered in 48% of admissions. Patients were given opioids for a mean of 67.9% (SD, 25.0%) of their stay. Location of administration of first opioid on admission, timing of last opioid before discharge, and receipt of nonopioid analgesics varied substantially. After adjustment for potential confounders, 5.9% of inpatients receiving opioids had outpatient use at 90 days compared with 3.0% of those without inpatient use (difference, 3.0 percentage points [95% CI, 2.8 to 3.2 percentage points]). Opioid use at 90 days was higher in inpatients receiving opioids less than 12 hours before discharge than in those with at least 24 opioid-free hours before discharge (7.5% vs. 3.9%; difference, 3.6 percentage points [CI, 3.3 to 3.9 percentage points]). Differences based on proportion of the stay with opioid use were modest (opioid use at 90 days was 6.4% and 5.4%, respectively, for patients with opioid use for ≥75% vs. ≤25% of their stay; difference, 1.0 percentage point [CI, 0.4 to 1.5 percentage points]). Associations were similar for opioid use 365 days after discharge.

LIMITATION

Potential unmeasured confounders related to opioid use.

CONCLUSION

This study found high rates of opioid administration to opioid-naive inpatients and associations between specific patterns of inpatient use and risk for long-term use after discharge.

PRIMARY FUNDING SOURCE

UPMC Health System and University of Pittsburgh.