Opioid Prescribing Practices in Pediatric Acute Care Settings

Characterizing opioid prescribing to adolescents at time of discharge from a pediatric hospital over a five-year period

PURPOSE

To characterize opioid prescribing over a 5-year period to adolescents upon discharge from one urban pediatric medical center.

DESIGN AND METHODS

A retrospective cross-sectional analysis of 4354 adolescents discharged with a pain medication after an admission of ≤5 days between January 2015 and December 2019 was performed. Two outcome groups, based on the analgesics prescribed at discharge, were compared: those discharged with a prescription for a non-opioid only and those discharged with an opioid prescription. The association between year of discharge and receipt of opioid, while adjusting for relevant demographic and clinical characteristics, was also explored.

RESULTS

Approximately 64% of the sample was discharged with an opioid prescription. Of those, the median daily dosage was 45.0 morphine milligram equivalents (MME) [IQR: 32.4, 45.0]. Year of discharge was associated with decreased odds of receiving an opioid when adjusting for age, race, sex, insurance, pain scores, opioid exposure during hospitalization, length of stay, and undergoing surgery. The odds of being discharged with an opioid decreased each year by 29% (Adjusted Odds Ratio [AOR] = 0.71, CI:0.68-0.73). Concurrently, the proportion of patients discharged with nonopioid pain medication increased from 25% of adolescent patients in 2015 to 50% in 2019.

CONCLUSIONS

Overall, opioid prescribing to adolescents at time of discharge decreased over time in our sample.

PRACTICE IMPLICATIONS

While prescribing has decreased opioid analgesics are dispensed to young patients. Risk of opioid use disorder and overdose is rare in this population, but adolescence is good opportunity for nursing to promote safe prescribing and analgesic use.

Use of Outpatient Opioids Prescribed From a Pediatric Acute Care Setting

OBJECTIVES

Deaths due to prescription opioid overdoses are at record high levels. Limiting the amount of opioid prescribed has been suggested as a prevention strategy, but little is known about how much is needed to adequately treat acutely painful conditions for outpatients. The purpose of this study was to quantify the usage of opioids prescribed from the pediatric emergency departments of a Midwestern tertiary care children's hospital system.

METHODS

This was a prospective descriptive study in which patients aged 0 to 17 years seen in 2 pediatric emergency departments who received a prescription for an outpatient opioid were enrolled. The main outcome was opioid doses used at home, which was obtained via phone follow-up. Additional information, including patient demographics, location, prescriber specialty, diagnosis, and opioid name and amount prescribed, was obtained via chart review.

RESULTS

A total of 295 patients were enrolled, with 281 completing the study (95%). The median numbers of opioid doses prescribed and used were 12 and 2 doses, respectively, with 9 doses in excess. Patients with lower extremity fractures used more opioids than other diagnoses, with a median of 8 doses. The majority of families reported keeping extra doses at home.

CONCLUSIONS

Prescribed opioid doses exceeded used doses by a factor of 6. Lower extremity fractures required more doses than other acutely painful conditions. We should consider limiting doses prescribed to decrease excess opioids available for misuse and abuse.

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.

Characteristics of Opioid Prescribing in Non-surgical Medicine Patients with Acute Pain at Hospital Discharge

BACKGROUND

The opioid epidemic and new Joint Commission standards around opioid stewardship have made the appropriate prescribing of opioids a priority. A knowledge gap exists pertaining to the short-term prescription of opioids at hospital discharge for acute pain in non-surgical patients.

OBJECTIVE

To characterize the quantity, type, and indication of opioids prescribed for non-surgical patients on hospital discharge and subsequent patient utilization.

DESIGN

This multicenter, single-health system retrospective cohort study was conducted for quality improvement purposes from December 2019 to May 2020 with patient follow-up 15 to 29 days after hospital discharge.

PARTICIPANTS

Patients discharged from a medicine service with new opioid prescriptions, defined as no opioid prescription documented within the past 90 days, were identified as eligible through the electronic health record. Surveys were attempted until a total of 200 were completed, with 374 surveys attempted and a 53% response rate.

INTERVENTION

Patients were contacted via phone and surveyed post-discharge. Surveys consisted of 28 questions and assessed opioid consumption, duration of use, refills, patient satisfaction, and opioid disposal.

MAIN MEASURES

Prescribing indications and morphine milligram equivalents (MME) quantities were collected for patients at discharge. Subsequently, the quantity of prescribed opioids utilized, remaining, and disposed of post-discharge were collected via patient self-reported survey responses.

KEY RESULTS

Indications for opioid prescribing for 200 surveyed patients were grouped into eight broad prescribing categories. A median of 112.5 total MME was prescribed to patients at hospital discharge. Median MME consumed for surveyed patients was 45. The median total MME remaining at time of survey was 35 MME. Only 5.9% of patients who had leftover opioids reported disposal of the medication.

CONCLUSIONS

Given the observed variation in opioid prescribing and utilization data, standardized indication-based opioid prescribing guidance in the non-surgical medical population would help curb the amount of opioids that remain unused post-discharge.

Improving Opioid Stewardship in Pediatric Emergency Medicine

OBJECTIVES

Poor opioid stewardship contributes to opioid misuse and adverse health outcomes. We sought to decrease opioid prescriptions in children 0 to 18 years treated for pain after fractures and cutaneous abscess drainage from 13.5% to 8%. Our secondary aims were to reduce opioid prescriptions written for >3 days from 41% to 10%, eliminate codeine prescriptions, increase safe opioid storage and disposal discharge instructions from 0% to 70%, and enroll all emergency department (ED) physicians in the state prescription drug monitoring program.

METHODS

We implemented an intervention bundle on the basis of 4 key drivers at a pediatric ED: ED-wide education, changes in the electronic medical record, discharge resources, and process standardization. Two plan-do-study-act cycles were performed. Interventions included provider feedback on prescribing, safe opioid storage and disposal instructions, and streamlined electronic medical record functions. Run charts were used to analyze the effect of interventions on outcomes. Our balance measure was return ED or clinic visits for inadequate analgesia within 3 days.

RESULTS

During the intervention period, 249 of 3402 (7.3%) patients with fractures and cutaneous abscesses were prescribed opioids. The percentage of opioid prescriptions >3 days decreased from 41% to 13.2% (P < .0001), codeine prescription dropped from 1.1% to 0% (P = .09), opioid discharge instructions increased 0% to 100% (P < .0001), and all physicians enrolled in the prescription drug monitoring program. There was no change in return visits for uncontrolled analgesia compared with the baseline (P = .79).

CONCLUSIONS

A comprehensive opioid stewardship program can improve opioid prescribing practices of ED physicians and deliver information on safe storage and disposal of prescription opioids with a negligible effect on return visits for uncontrolled pain.

Prescribing Patterns of Oral Opioid Analgesic for Acute Pain at a Tertiary Care Children's Hospital Emergency Departments and Urgent Cares

OBJECTIVES

Despite Centers for Disease Control and Prevention guidelines on adult opioid prescribing, there is a paucity of evidence and no guidelines to inform opioid prescribing in pediatrics. To develop guidelines on pediatric prescribing, it is imperative to evaluate current practice on opioid use. The objectives were to describe prescribing patterns of opioids for acute pain at a children's hospital and to compare clinical characteristics of patients who received less or greater than 3 days.

METHODS

A retrospective review of oral opioid analgesics prescribed for acute pain at a tertiary care children's hospital emergency department and urgent care from January 1, 2017, to December 31, 2017. Patients younger than 22 years who received an opioid prescription upon discharge were included. Patients with hematology/oncology or chronic pain diagnosis were excluded.

RESULTS

Opioids were prescribed for a median of 2.2 days (interquartile range, 1.4-3.0 days). Most opioids were prescribed for ≤3 days (1326; 79.3%), and there were 44 (2.6%) prescriptions for >7 days. Twenty-two opioid formulations were prescribed. Single-ingredient oxycodone was the most commonly prescribed (877; 52.5%); there were 724 (43.3%) acetaminophen combination products. Common diagnoses were orthopedic (973; 58.2%), surgery/burn/trauma (195; 11.7%), and ear/nose/throat (143; 8.6%). Patients who received >3 days of opioids were younger (P < 0.001), and there was no differences in sex, ethnicity, insurance, or provider qualifications.

CONCLUSIONS

Overall, prescribing patterns for the duration of opioid analgesics were ≤3 days, with a median of 2 days. There was a large range of days prescribed, with variations in prescribing characteristics among patients and providers.

Prediction of Prolonged Opioid Use After Surgery in Adolescents: Insights From Machine Learning

BACKGROUND

Long-term opioid use has negative health care consequences. Patients who undergo surgery are at risk for prolonged opioid use after surgery (POUS). While risk factors have been previously identified, no methods currently exist to determine higher-risk patients. We assessed the ability of a variety of machine-learning algorithms to predict adolescents at risk of POUS and to identify factors associated with this risk.

METHODS

A retrospective cohort study was conducted using a national insurance claims database of adolescents aged 12-21 years who underwent 1 of 1297 surgeries, with general anesthesia, from January 1, 2011 to December 30, 2017. Logistic regression with an L2 penalty and with a logistic regression with an L1 lasso (Lasso) penalty, random forests, gradient boosting machines, and extreme gradient boosted models were trained using patient and provider characteristics to predict POUS (≥1 opioid prescription fill within 90-180 days after surgery) risk. Predictive capabilities were assessed using the area under the receiver-operating characteristic curve (AUC)/C-statistic, mean average precision (MAP); individual decision thresholds were compared using sensitivity, specificity, Youden Index, F1 score, and number needed to evaluate. The variables most strongly associated with POUS risk were identified using permutation importance.

RESULTS

Of 186,493 eligible patient surgical visits, 8410 (4.51%) had POUS. The top-performing algorithm achieved an overall AUC of 0.711 (95% confidence interval [CI], 0.699-0.723) and significantly higher AUCs for certain surgeries (eg, 0.823 for spinal fusion surgery and 0.812 for dental surgery). The variables with the strongest association with POUS were the days' supply of opioids and oral morphine milligram equivalents of opioids in the year before surgery.

CONCLUSIONS

Machine-learning models to predict POUS risk among adolescents show modest to strong results for different surgeries and reveal variables associated with higher risk. These results may inform health care system-specific identification of patients at higher risk for POUS and drive development of preventative measures.

Reducing Opioid Doses Prescribed From a Pediatric Emergency Department

BACKGROUND

Opioid overdose and abuse have reached epidemic rates in the United States. Medical prescriptions are a large source of opioid misuse. Our quality improvement initiative aimed to reduce opioid exposure from the pediatric emergency department (ED). Objective was to reduce opioid doses prescribed weekly from our ED by 50% within 4 months.

METHODS

Three categories of interventions were implemented in Plan-Do-Study-Act cycles: guidelines and education, electronic medical record optimization, and provider-specific feedback. Primary measures were opioid doses prescribed weekly from the ED and opioid doses per 100 ED visits. Process measures were opioid prescriptions, opioid doses per prescription, and opioid prescriptions for unspecified abdominal pain, headache, and viral upper respiratory infection. Balancing measures were phone calls and return visits for poor pain control in patients prescribed opioids and reports of poor pain control in call backs to orthopedic reduction patients. We used statistical process control to examine changes in measures over time.

RESULTS

Opioid doses decreased from 153 to 14 per week and from 8 to 0.7 doses per 100 ED visits in 10 months, sustained for 9 months. Opioid prescriptions, opioid doses per prescription, and prescriptions for unspecified abdominal pain, headache, and viral upper respiratory infection decreased. Phone calls and return visits in patients prescribed opioids did not increase. There were 2 reports of poor pain control among 152 orthopedic reduction patients called back.

CONCLUSIONS

We decreased opioid doses prescribed weekly from the pediatric ED by 91% while minimizing return visits and reports of poor pain control.

Trajectories of Opioid Use Following First Opioid Prescription in Opioid-Naive Youths and Young Adults

IMPORTANCE

Although prescription opioids are the most common way adolescents and young adults initiate opioid use, many studies examine population-level risks following the first opioid prescription. There is currently a lack of understanding regarding how patterns of opioid prescribing following the first opioid exposure may be associated with long-term risks.

OBJECTIVE

To identify distinct patterns of opioid prescribing following the first prescription using group-based trajectory modeling and examine the patient-, clinician-, and prescription-level factors that may be associated with trajectory membership during the first year.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study examined Pennsylvania Medicaid enrollees' claims data from 2010 through 2016. Participants were aged 10 to 21 years at time of first opioid prescription. Data analysis was performed in March 2020.

MAIN OUTCOMES AND MEASURES

This study used group-based trajectory modeling and defined trajectory status by opioid fill.

RESULTS

Among the 189 477 youths who received an initial opioid prescription, 107 562 were female (56.8%), 81 915 were non-Latinx White (59.6%), and the median age was 16.9 (interquartile range [IQR], 14.6-18.8) years. During the subsequent year, 47 477 (25.1%) received at least one additional prescription. Among the models considered, the 2-group trajectory model had the best fit. Of those in the high-risk trajectory, 65.3% (n = 901) filled opioid prescriptions at month 12, in contrast to 13.1% (n = 6031) in the low-risk trajectory. Median age among the high-risk trajectory was 19.0 years (IQR, 17.1-20.0 years) compared with the low-risk trajectory (17.8 years [IQR, 15.8-19.4 years]). The high-risk trajectory received more potent prescriptions compared with the low-risk trajectory (median dosage of the index month for high-risk trajectory group: 10.0 MME/d [IQR, 5.0-21.2 MME/d] vs the low-risk trajectory group: 4.7 MME/d [IQR, 2.5-7.8 MME/d]; P < .001). The trajectories showed persistent differences with more youths in the high-risk trajectory going on to receive a diagnosis of opioid use disorder (30.0%; n = 412) compared with the low-risk group (10.1%; n = 4638) (P < .001).

CONCLUSIONS AND RELEVANCE

This study's results identified 2 trajectories associated with elevated risk for persistent opioid receipt within 12 months following first opioid prescription. The high-risk trajectory was characterized by older age at time of first prescription, and longer and more potent first prescriptions. These findings suggest even short and low-dose opioid prescriptions can be associated with risks of persistent use for youths.

Characteristics of opioid prescriptions for discharged pediatric emergency department patients with acute injuries

This study describes the characteristics of opioid prescriptions for pediatric patients discharged from the emergency department (ED) with acute injuries, including type, formulation, quantity dispensed, and associations with patient age group and prescriber level of training. This retrospective cohort study enrolled all acutely injured patients receiving opioid prescriptions at discharge from an urban academic pediatric ED in a 1-year period. Electronic medical records were reviewed to abstract clinical and prescription data and prescriber level of training. Descriptive statistics were used for analysis. We identified 254 patients with injuries who received opioid prescriptions at ED discharge during the study period (mean age 9.5 years, 65% male). The most common injury was fracture (71%). Oxycodone was the opioid most frequently prescribed (96.1%). Liquid formulations were prescribed in 51.6% of cases. The median number of doses prescribed per prescription was 12 (SD±9.1), with a range of 1-50. Residents wrote 72.9% of prescriptions and prescribed more doses than non-residents (15.5 vs 12.2, p=0.01). Post-graduate year 2 (PGY2) residents prescribed more doses than PGY1 or PGY3+ residents. Our data show wide variation in the number of opioid doses prescribed to acutely injured pediatric patients at ED discharge and frequent use of liquid formulation; both factors may place this population at risk for accidental ingestion. These findings also support the development of pediatric clinical guidelines to define appropriate quantities of opioids to prescribe, promote poisoning prevention strategies, and design post-graduate education for medical trainees about safe prescribing practices.