An evaluation of opioid use during acute hospital admissions

Long-term opioid use can begin with the treatment of acute pain. However, there is little evidence concerning the impact that better opioid awareness in the acute phase may have on reducing the use of opioids in the long term. This project explored which opioids are routinely prescribed within an acute hospital setting and how these opioids were used over the course of the hospital stay. Codeine and morphine remain the most commonly prescribed opioids. Opioids were prescribed and given to people across the age range, from 16 to 98 years. The project found that 19% of patients were admitted with a pre-existing opioid. Up to 66% of patients were discharged with opioid medication, with almost 20% leaving with more than one opioid. Regular opioid use routinely exposes patients to long-term opioid use and those patients initiated onto opioid medication during admission should have the benefit of planned de-escalation before discharge.

Opioid Medication Disposal Among Patients Following Hand Surgery

Background: Despite increased public awareness to dispose of unused narcotics, opioids prescribed postoperatively are retained, which may lead to drug diversion and abuse. This study assessed retention of unused opioids among hand surgery patients and describes disposal methods and barriers. Methods: Participants undergoing hand surgery were given an opioid disposal information sheet preoperatively (N = 222) and surveyed postoperatively to assess disposal or retention of unused opioids, disposal methods, and barriers to disposal. A binomial logistic regression was conducted to assess whether age, sex, pain intensity, and/or the type of procedure were predictors of opioid disposal. Results: There were 171 patients included in the analysis (n = 51 excluded; finished prescription or continued opioid use for pain control). Unused opioids were retained by 134 patients (78%) and disposal was reported by 37 patients (22%). Common disposal methods included returning opioids to a pharmacy (49%) or mixing them with an unwanted substance (24%). Reasons for retention included potential future use (54%), inconvenient disposal methods (21%), or keeping an unfilled prescription (9%). None of the patient factors analyzed (age, sex, type of procedure performed, or pain score) were predictors of disposal of unused narcotics ( P > .05). Conclusions: Most patients undergoing hand surgery retained prescribed opioids for future use or due to impractical disposal methods. The most common disposal methods included returning narcotics to a pharmacy or mixing opioids with unwanted substances. Identifying predictors of disposal may provide important information when developing strategies to increase opioid disposal.

Are Opioids Overprescribed to Pediatric Neurosurgery Patients? A Prospective Study on Prescribing Practices and Patient Use

Background and Hypothesis: The opioid crisis continues to worsen in the United States with opioid overdose deaths reaching record highs in 2020. While a large body of literature exists surrounding the risks of opioids in adults, opioids also pose unique risks to pediatric patients, including accidental ingestion, nonmedical use, and acute cerebellitis causing death. Opioid medications prescribed in the medical setting are often an unwitting source of excess opioids, with half of pediatric overdoses in those under 2 years of age. Although legislative efforts have significantly limited opioid prescribing, recent studies suggest these medications may still be overprescribed. We hypothesized opioid medications are overprescribed to pediatric neurosurgery patients upon hospital discharge. Methods: Pediatric patients undergoing neurosurgical procedures at Riley Hospital for Children were identified prospectively. Surgery type, length of stay, and inpatient use of opioid medications were collected. Patients prescribed an opioid medication upon hospital discharge were contacted 7 days after discharge and asked to report the number of doses of opioid medication used. Results: Thirty patients were successfully contacted 7 days after hospital discharge. Patients underwent a variety of cranial and spinal procedures and the mean length of hospital stay was 3.9 days. An average of 24.9 doses of opioid medication were prescribed at hospital discharge, while an average of 3.8 doses were used by patients in the 7 days following hospital discharge. Twelve patients (40%) had used zero doses of the prescribed opioid medication at 7-day follow-up. Conclusions: Pediatric neurosurgery patients used only 15.3% of prescribed opioids in 7 days after hospital discharge. This creates an excess of leftover opioid medication that may increase the risk of accidental ingestion and misuse. The present study highlights the need for educational initiatives for providers to minimize excess opioids prescribed and for parents to safely dispose of leftover opioid medication.

A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on Opioids

Background Value sets are lists of terms (e.g., opioid medication names) and their corresponding codes from standard clinical vocabularies (e.g., RxNorm) created with the intent of supporting health information exchange and research. Value sets are manually-created and often exhibit errors. Objectives The aim of the study is to develop a semi-automatic, data-centric natural language processing (NLP) method to assess medication-related value set correctness and evaluate it on a set of opioid medication value sets. Methods We developed an NLP algorithm that utilizes value sets containing mostly true positives and true negatives to learn lexical patterns associated with the true positives, and then employs these patterns to identify potential errors in unseen value sets. We evaluated the algorithm on a set of opioid medication value sets, using the recall, precision and F1-score metrics. We applied the trained model to assess the correctness of unseen opioid value sets based on recall. To replicate the application of the algorithm in real-world settings, a domain expert manually conducted error analysis to identify potential system and value set errors. Results Thirty-eight value sets were retrieved from the Value Set Authority Center, and six (two opioid, four non-opioid) were used to develop and evaluate the system. Average precision, recall, and F1-score were 0.932, 0.904, and 0.909, respectively on uncorrected value sets; and 0.958, 0.953, and 0.953, respectively after manual correction of the same value sets. On 20 unseen opioid value sets, the algorithm obtained average recall of 0.89. Error analyses revealed that the main sources of system misclassifications were differences in how opioids were coded in the value sets—while the training value sets had generic names mostly, some of the unseen value sets had new trade names and ingredients. Conclusion The proposed approach is data-centric, reusable, customizable, and not resource intensive. It may help domain experts to easily validate value sets.

The Effect of Preoperative Behavioral Intervention on Pain, Anxiety, Opioid Use, and Function in Patients Undergoing Total Knee Arthroplasty: A Randomized Controlled Study

ABSTRACT Objective To evaluate the efficacy of preoperative cognitive-behavioral psychoeducation (CBE) for improved pain, anxiety, opioid use, and postoperative function in total knee arthroplasty (TKA) patients. Methods A randomized controlled trial was conducted among 36 military health system beneficiaries attending preoperative education for TKA. The standard of care (SOC) group (n = 18) received information on home safety, rehabilitation, postoperative precautions, and pain management. In addition, the occupational therapy led CBE group (n = 16) received information on principles of holistic wellness (healing process, effects of stress on healing, heart-rate control through diaphragmatic breathing, anti-inflammatory nutrition, goal setting, and mental imagery). Outcomes of interest: knee active range of motion, pain (Defense and Veterans Pain Rating Scale), opioid medication use, heart-rate coherence (emwave2), anxiety (Generalized Anxiety Disorder Scale), and function (Knee Outcome Survey Activities of Daily Living [KOS-ADL], modified Functional Independence Measure, and Global Rate of Change). Results The CBE group demonstrated significantly greater decline in pain overall, with activity, and during sleep in relation to the SOC group when comparing visit 1 to visit 5. Opioid medication use was significantly lower for CBE versus SOC. Postoperative General Anxiety Disorder-7 scores decreased significantly among CBE participants with similar increase in high heart rate coherence. Function significantly improved postoperatively based on KOS-ADL and Global Rate of Change scores. Twice as many CBE participants had same-day discharge compared to SOC participants and most CBE participants continued with healthy lifestyle recommendations at the 3-month follow-up. Conclusion A cognitive-behavioral approach to preoperative education may improve postoperative pain, anxiety, and function while decreasing opioid use among TKA patients. Findings from this pilot study support further research to examine similar interventions among distinct surgical populations and encourage further evaluation on the effects of CBE to enhance health and healthcare delivery.

Risk for ischemic stroke and coronary heart disease associated with migraine and migraine medication among older adults

Background Migraine has been associated with cardiovascular disease (CVD) events among middle-aged adults. The objective of this study was to determine the risk for ischemic stroke and coronary heart disease (CHD) events among older adults with versus without migraine. Methods This retrospective cohort study was conducted using data from US adults ≥66 years of age with Medicare health insurance between 2008 and 2017. After stratification by history of CVD, patients with a history of migraine were matched 1:4 to those without a history of migraine, based on calendar year, age, and sex. Patients were followed through December 31, 2017 for ischemic stroke and CHD events including myocardial infarction or coronary revascularization. All analyses were done separately for patients with and without a history of CVD. Results Among patients without a history of CVD (n = 109,950 including n = 21,990 with migraine and n = 87,960 without migraine), 1789 had an ischemic stroke and 3552 had a CHD event. The adjusted hazard ratio (HR) among patients with versus without migraine was 1.20 (95% confidence interval [95%CI], 1.07–1.35) for ischemic stroke and 1.02 (95%CI, 0.93–1.11) for CHD events. Compared to patients without migraine, those with migraine who were taking an opioid medication had a higher risk for ischemic stroke (adjusted HR 1.43 [95%CI, 1.20–1.69]), while those taking a triptan had a lower risk for CHD events (adjusted HR 0.79 [95%CI, 0.67–0.93]). Among patients with a history of CVD (n = 79,515 including n = 15,903 with migraine and n = 63,612 without migraine), 2960 had an ischemic stroke and 7981 had a CHD event. The adjusted HRs (95%CI) for ischemic stroke and CHD events associated with migraine were 1.27 (1.17–1.39) and 0.99 (0.93–1.05), respectively. Patients with migraine taking an opioid medication had a higher risk for ischemic stroke (adjusted HR 1.21 [95%CI, 1.07–1.36]), while those taking a triptan had a lower risk for CHD events (adjusted HR 0.83 [95%CI, 0.72–0.95]), each versus those without migraine. Conclusions Older adults with migraine are at increased risk for ischemic stroke. The risk for ischemic stroke among older adults with migraine may differ by migraine medication classes.

Tapering Chronic Opioid Medications: A Human Factors Approach to Building a Provider-Facing App

Approximately 25.3 million adults in the U.S. take prescription opioid medication to provide relief from their daily pain. Over-prescription of these medications has contributed to the opioid epidemic in the U.S. Many patient desire tapering opioids. However, guidelines of opioid tapering are complex and difficult to translate into practice at the point of care. Our research used human factors methods, including participatory ergonomics, task analysis, interviews, and usability testing to design a provider app to aid safe opioid tapering. We present preliminary prototypes of our app that is currently being deployed across a large 10-hospital healthcare system in the mid-Atlantic region. Our app will be integrated into the electronic health record and comprises five sections: Patient Context, Taper Settings, Create Taper Plan, Withdrawal and Non-opioid Pain Plan, and Summary Dashboard.