Opioid Assessment Research Articles

Frequency of and Factors Associated With Nonmedical Opioid Use Behavior Among Patients With Cancer Receiving Opioids for Cancer Pain

One of the main aims of research on nonmedical opioid use (NMOU) is to reduce the frequency of NMOU behaviors through interventions such as universal screening, reduced opioid exposure, and more intense follow-up of patients with elevated risk. The absence of data on the frequency of NMOU behavior is the major barrier to conducting research on NMOU. To determine the overall frequency of and the independent predictors for NMOU behavior. In this prognostic study, 3615 patients with cancer were referred to the supportive care center at MD Anderson Cancer Center from March 18, 2016, to June 6, 2018. Patients were eligible for inclusion if they had cancer and were taking opioids for cancer pain for at least 1 week. Patients were excluded if they had no follow-up within 3 months of initial consultation, did not complete the appropriate questionnaire, or did not have scheduled opioid treatments. After exclusion, a total of 1554 consecutive patients were assessed for NMOU behavior using established diagnostic criteria. All patients were assessed using the Edmonton Symptom Assessment Scale, the Screener and Opioid Assessment for Patients with Pain (SOAPP), and the Cut Down, Annoyed, Guilty, Eye Opener-Adapted to Include Drugs (CAGE-AID) survey. Data were analyzed from January 6 to September 25, 2020. A total of 1554 patients (median [interquartile range (IQR)] age, 61 [IQR, 52-69] years; 816 women [52.5%]; 1124 White patients [72.3%]) were evaluable for the study, and 299 patients (19.2%) had 1 or more NMOU behaviors. The median (IQR) number of NMOU behaviors per patient was 1 (IQR, 1-3). A total of 576 of 745 NMOU behaviors (77%) occurred by the first 2 follow-up visits. The most frequent NMOU behavior was unscheduled clinic visits for inappropriate refills (218 of 745 [29%]). Eighty-eight of 299 patients (29.4%) scored 7 or higher on SOAPP, and 48 (16.6%) scored at least 2 out of 4 points on the CAGE-AID survey. Results from the multivariate model suggest that marital status (single, hazard ratio [HR], 1.58; 95% CI, 1.15-2.18; P = .005; divorced, HR, 1.43; 95% CI, 1.01-2.03; P = .04), SOAPP score (positive vs negative, HR, 1.35; 95% CI, 1.04-1.74; P = .02), morphine equivalent daily dose (MEDD) (HR, 1.003; 95% CI, 1.002-1.004; P < .001), and Edmonton Symptom Assessment Scale pain level (HR, 1.11; 95% CI, 1.06-1.16; P < .001) were independently associated with the presence of NMOU behavior. In recursive partition analysis, single marital status, MEDD greater than 50 mg, and SOAPP scores greater than 7 were associated with a higher risk (56%) for the presence of NMOU behavior. This prognostic study of patients with cancer taking opioids for cancer pain found that 19% of patients developed NMOU behavior within a median duration of 8 weeks after initial supportive care clinic consultation. Marital status (single or divorced), SOAPP score greater than 7, higher levels of pain severity, and MEDD level were independently associated with NMOU behavior. This information will assist clinicians and investigators designing clinical and research programs in this important field.

Review of Opioid Risk Assessment Tools with the Growing Need for Telemedicine

Review of Opioid Risk Assessment Tools with the Growing Need for Telemedicine

Aberrant opioid use behaviour in advanced cancer

ObjectivesTo evaluate the presence of aberrant behaviour in a consecutive sample of patients with advanced cancer treated with opioids in a country like Italy, with its peculiar attitudes towards the...

Transforming Primary Care Practice Into Age-Friendly Health Systems

Transforming primary care practice to improve the health of older adults is a major focus of the Geriatric Workforce Enhancement Program (GWEP). Using the 4Ms of an Age-Friendly Health System (What Matters, Mentation, Medication, and Mobility) as a framework, presenters will describe their GWEP’s ongoing development, training, and evaluation initiatives aimed at increasing providers’ knowledge and practice skills, and improving older adult’s health outcomes. These initiatives are creating increased professional competencies in geriatric care that will: 1) help older adults maximize their health and wellbeing, and 2) better support caregivers and families. In this symposium, presenters from three GWEPs, Pennsylvania State University, Rush University Medical Center, and Saint Louis University will describe AFHS initiatives with rural and urban primary care partner sites. Educational and programmatic initiatives and strategies that map onto the 4Ms that will be discussed including geriatric assessment, dementia-focused interventions, falls prevention, opioid assessment, and caregiver well-being and support. Outcomes in older adult’s health and functional status will be discussed. Presenters will highlight the importance of building AFHS in primary care and strategies to bridge this framework into the community.

Barriers, solutions, and effect of using pharmacogenomics data to support opioid prescribing.

Opioid use and misuse are continued issues facing clinicians across all aspects of health care. As clinicians struggle to effectively manage opioid prescribing, pharmacogenomics (PGx) further offers the prescriber an improved ability to understand the potential for an individual patient's genetics to influence opioid efficacy and safety. When PGx data are available at the point of initial prescribing, clinicians can apply that data to drug therapy selection. However, barriers continue to exist relative to PGx data sharing and interpretation, which have created difficulties for widespread PGx implementation. This article briefly describes potential barriers to PGx data integration, strategies to overcome those barriers, and the potential positive effect of successful data sharing on opioid prescribing. Prescription drug monitoring programs (PDMPs) have been successfully operationalized to share controlled substance prescribing data across health care settings. Such data sharing enables clinicians to, among other things, better understand risks associated with misuse. Because a relatively limited volume of PGx data is currently pertinent to opioid prescribing, such PGx data could be added to PDMPs as a way to communicate genetic information within current technology platforms. Not only would this integrate into existing clinical workflow models where PDMP data are accessed at this point of prescribing and/or dispensing, but associated clinical guidance for PGx data interpretation in the context of opioids could be integrated into the workflow process. Such clinical decision support could be provided directly through the PDMP interface for uniformity or could be provided via systems that access PDMP data. Clinical, economic, and policy implications of the inclusion of PGx data within PDMPs are also discussed. Through harnessing PDMP for data sharing, multiple barriers to PGx implementation could be mitigated, and clinicians may have better access to PGx data to optimize opioid prescribing. DISCLOSURES: No outside funding supported this study. Bright has a patent pending related to opioid use disorder risk assessment that includes genetic information and was a collaborator on funded research projects with pharmacogenomics-related companies. Petry has been a consultant to the North Dakota Department of Health and has received grants from IGNITE I and IGNITE II (NIH), unrelated to this work. The other authors are aware of no financial conflicts of interest.

Daily associations between sleep and opioid use among adults with comorbid symptoms of insomnia and fibromyalgia.

Disturbed sleep and use of opioid pain medication are common among individuals with chronic pain. Anecdotally, opioids are thought to promote sleep by relieving pain. This study aimed to determine whether opioid use is associated with daily sleep parameters (and vice versa) in adults with comorbid symptoms of insomnia and fibromyalgia. Individuals reporting symptoms of insomnia and opioid use for fibromyalgia (n = 65, 93% women, 79% White) wore wrist actigraphy and completed daily diaries for 14 days (910 observations). Analyses examined daily associations between opioid dose (measured in lowest recommended dosage units) and three sleep parameters (actigraphy/self-reported total wake time and self-reported sleep quality). Multilevel models were used to account for the clustering of daily sleep and opioid assessments (level 1) within individuals (level 2). Opioid use did not have a significant daily effect on total wake time or sleep quality, and sleep parameters did not significantly impact opioid use the next day; however, participants reported worse sleep quality and greater doses of opioids on evenings that they experienced greater pain. Among adults reporting symptoms of insomnia and opioid use for fibromyalgia pain, opioid use is not reliably associated with wake time or sleep quality that night, and these sleep parameters are not significantly associated with opioid use the next day; however, evening pain has an adverse daily impact on both sleep quality and opioid use. Studies identifying strategies to prevent and manage fibromyalgia pain are needed, especially for individuals reporting comorbid insomnia and opioid use.

Opioid Use Disorder and Assessment of Patient Interactions Among Family Medicine Residents, Medical Students, and Physician Assistant Students.

IntroductionIn light of the opioid overdose epidemic in the US and the necessity of developing training to conduct difficult conversations around opioid dependence, three case-based videos were created to demonstrate providers using motivational interviewing (MI) with patients who have opioid use disorder (OUD). These vignettes displayed a primary care provider interacting with a patient seeking opioids.MethodsLearners—including third-year medical and physician assistant (PA) students, and family medicine residents—viewed three videos set in a family medicine clinic and assessed clinician use of MI when interacting with patients with OUD. The patients were at different levels of acknowledging their need to change their opioid use behaviors and/or pursue treatment. Learners rated each video with an MI rating scale, and a facilitator debriefed strengths, weaknesses, and omissions regarding MI.ResultsMedical and PA students, and resident family physicians provided 572 ratings. Analysis of variance of mean percent incorrect was lower in residents than in all groups combined, but failed to reach statistical significance (47% + 12.0 vs 53% + 15.0, p = .43).DiscussionThese case-based videos with MI ratings afforded students and residents the opportunity to assess clinician use of MI techniques with patients with OUD. The MI rating scale had clinical significance (residents scored +5 points and had more training) despite lacking statistical significance. These scenarios allowed learners to recognize how to use MI when having a difficult conversation with patients who misuse opioids. We envision individual use or use for group discussion.

Pain Experiences and Their Relation to Opioid Misuse Risk and Emotion Dysregulation.

Pain is a complex, multidimensional experience but often is measured as a unidimensional experience. This study aimed to separately assess the sensory and affective components of pain and identify their relations to important pain-related outcomes, particularly in terms of opioid misuse risk and emotion dysregulation among patients with chronic pain receiving treatment in Appalachia. Two hundred and twelve patients presenting to a multidisciplinary pain center completed the Difficulties in Emotion Regulation Scale (DERS-18), Screener and Opioid Assessment for Patients with Pain—Revised (SOAPP-R), and short-form McGill Pain Questionnaire (SF-MPQ). The sensory experience of pain was unrelated to emotion dysregulation (r = 0.06, p = 0.57) and weakly related to opioid misuse risk (r = 0.182, p < 0.05). In contrast, the affective experience of pain was moderately related to emotion dysregulation (r = 0.217, p < 0.05) and strongly related to opioid misuse risk (r = 0.37, p < 0.01). In addition, emotion dysregulation predicted variance in opioid misuse risk above and beyond the affective and sensory experiences of pain ((b = 0.693, p < 0.001). The results suggest patients with a strong affective experience versus sensory experience of pain and challenges with emotion regulation may require a more comprehensive intervention to address these underlying components in order to reduce their risk of misusing opioid medications.

Postoperative Opioid Prescribing and Consumption after Hysterectomy: A Prospective Cohort Study

To examine opioid prescribing and consumption patterns after hysterectomy and identify factors associated with postoperative opioid consumption. Prospective cohort study. Single university medical center. Women undergoing hysterectomy for benign, nonobstetric indications. Participant preoperative and surgical characteristics were obtained through chart review and patient report of baseline pain score. During the third postoperative week, participants completed a telephone interview, including a direct count of remaining opioid pills and assessment of satisfaction with pain management. We assessed factors associated with opioid consumption in oral morphine equivalents (OME) using a linear regression model. Of the 129 participants, 113 (88%) completed the postoperative survey after hysterectomy: 16 vaginal, 43 robotic-assisted, 42 conventional laparoscopic, and 12 abdominal hysterectomies. The median amount of opioid prescribed was 150 OME (interquartile range [IQR] 113-200), while the median amount consumed was 75 (IQR 10-135), reflecting an average consumption of about 50% of the prescription. Opioid prescription size was associated with consumption; for every additional oral morphine equivalent prescribed, on average, an additional 0.5 was consumed (p <.001). If the indication for hysterectomy was related to pain, participants consumed 25.3 additional OME (p = .04). The amount of opioid prescribed was inversely correlated with pain management satisfaction; every additional point on a 1 through 5 Likert scale of increasing satisfaction was associated with 44 fewer OME prescribed (standard error 9 OME, p <.001). For the 1464 total unused pills among the 104 participants with leftover opioids, only 20% reported an Food and Drug Administration -compliant opioid disposal plan. Gynecologic surgeons can respond to the opioid epidemic by reducing excess opioid pills after hysterectomy by providing both the smallest effective prescription size and concrete resources for safe opioid disposal. These actions may contribute to a reduction in opioid use disorder cases or overdose deaths.

Estimating costs of hospitalizations associated with opioid use disorder or opioid misuse at a large, urban safety-net hospital—Denver, Colorado, 2017

IntroductionThe national and state economic burden of the opioid crisis is substantial. This study estimated the number of hospitalizations associated with opioid use disorder (OUD) or opioid misuse (OM) and the cost of those hospitalizations at Denver Health (DH) Medical Center, a large, urban safety-net hospital. MethodsFor 2017, direct inpatient medical costs for hospitalizations associated with OUD or OM at DH Medical Center were estimated and categorized by group and insurance type. Data were from the DH electronic health records database that included charge data. Hospitalizations associated with OUD or OM were identified using diagnostic codes and an expanded set of inclusion criteria including diagnostic codes, opioid withdrawal assessments, opioid-related admission notes, and medication prescriptions to treat OUD. Costs were estimated using cost-to-charge ratios specific to DH. ResultsDuring 2017, 220 hospitalizations, $9,834,979 in total charges, $3,690,724 in estimated total costs, and $2,115,990 in total reimbursements were identified using diagnostic codes. Using the most expansive set of inclusion criteria, 739 hospitalizations, $35,033,157 in total charges, $13,346,099 in estimated total costs, and $7,020,877 in total reimbursements were identified. Of the 739 hospitalizations, Medicaid covered 546 hospitalizations (74 %), the largest proportion of total reimbursement (65 %), with estimated total costs of $10,135,048 (77 %). ConclusionsOur study identified considerable costs for hospitalizations associated with OUD or OM for DH. Estimating costs for hospitalizations associated with OUD or OM through use of expanded inclusion methodology can guide future program planning to allocate resources efficiently for hospitals such as DH Medical Center.

Optimizing telehealth pain care after COVID-19.

Optimizing telehealth pain care after COVID-19.

The development of a nomogram to determine the frequency of elevated risk for non-medical opioid use in cancer patients.

Non-medical opioid use (NMOU) is a growing crisis. Cancer patients at elevated risk of NMOU (+risk) are frequently underdiagnosed. The aim of this paper was to develop a nomogram to predict the probability of +risk among cancer patients receiving outpatient supportive care consultation at a comprehensive cancer center. 3,588 consecutive patients referred to a supportive care clinic were reviewed. All patients had a diagnosis of cancer and were on opioids for pain. All patients were assessed using the Edmonton Symptom Assessment Scale (ESAS), Screener and Opioid Assessment for Patients with Pain (SOAPP-14), and CAGE-AID (Cut Down-Annoyed-Guilty-Eye Opener) questionnaires. "+risk" was defined as an SOAPP-14 score of ≥7. A nomogram was devised based on the risk factors determined by the multivariate logistic regression model to estimate the probability of +risk. 731/3,588 consults were +risk. +risk was significantly associated with gender, race, marital status, smoking status, depression, anxiety, financial distress, MEDD (morphine equivalent daily dose), and CAGE-AID score. The C-index was 0.8. A nomogram was developed and can be accessed at https://is.gd/soappnomogram. For example, for a male Hispanic patient, married, never smoked, with ESAS scores for depression = 3, anxiety = 3, financial distress = 7, a CAGE score of 0, and an MEDD score of 20, the total score is 9 + 9+0 + 0+6 + 10 + 23 + 0+1 = 58. A nomogram score of 58 indicates the probability of +risk of 0.1. We established a practical nomogram to assess the +risk. The application of a nomogram based on routinely collected clinical data can help clinicians establish patients with +risk and positively impact care planning.

Abdominal Ice after Laparoscopic Hysterectomy: A Randomized Controlled Trial

To assess the impact of abdominal ice packs on opioid use and pain control after laparoscopic hysterectomy DESIGN: Randomized controlled trial. Academic tertiary care medical center. Total of 142 adult women undergoing laparoscopic (either conventional or robotic) hysterectomy were randomized to control (n = 69) or intervention (n = 73). Exclusion criteria included preoperative opioid use, planned intensive care unit admission or same-day discharge, an incision ≥4 cm, and regional anesthesia use. Subjects in the intervention group had a large ice pack placed directly on the lower abdomen before leaving the operating room. The ice pack was maintained continuously for 12 hours postoperation, as desired thereafter until discharge, and continued use encouraged after discharge for up to 48 hours. Total opioids administered postoperatively, while inpatient and after dismissal, were assessed in morphine milligram equivalents. Postoperative pain, as well as analgesia acceptability and side effects, were assessed using validated measures: Brief Pain Inventory and Overall Benefit of Analgesia Score. Median morphine milligram equivalent was lower in the intervention group than the controls from inpatient stay on the floor to completion of opioid use as an outpatient (22.5 vs 26.2) but was not statistically significant (p = .79). There was no significant difference between the groups in Brief Pain Inventory assessment of postoperative pain severity (p = .80) or pain interference (p = .36) or Overall Benefit of Analgesia Score total score (p = .88). Most patients in the intervention group were very satisfied with ice pack use (n = 51, 79.7%) and very likely to recommend it to friends or family (n = 54, 83.1%). There were no adverse events related to ice pack use. There was no significant difference in postoperative opioid use or pain assessment with ice pack use after laparoscopic hysterectomy. However, most of the subjects expressed high satisfaction specific to ice pack use and would recommend its use to others, suggesting potential desirability as adjunct therapy in postoperative pain control.

A multidimensional Rasch analysis of the screener and opioid assessment for patients with pain-revised.

Pilot study to assess psychometric indices of the screener and opioid assessment for patients with pain-revised (SOAPP-R©) with item response theory. Correlational. Patients. The SOAPP-R©, the pain self-efficacy questionnaire (PSE-Q), and the patient health questionnaire-9 (PHQ-9) and a demographic -questionnaire. A three-dimensional model provided the best fit for the SOAPP-R© item responses, with scales entitled drug-alcohol concerns, pain medication, and emotional stress; reliabilities were 0.77, 0.71, and 0.80 for those three scales. Significant correlations were found with the PSE-Q, the PHQ-9, and the SPQ for the drug-alcohol scale but not for the two remaining scales. The SOAPP-R© showed invariance and support for validity, but with a three-dimensional scale structure.

Opioid Risk Screening in an Oncology Palliative Medicine Clinic.

Little information exists on factors that predict opioid misuse in oncology. We adopted the Screener and Opioid Assessment for Patients With Pain-Short Form (SOAPP-SF) and toxicology testing to assess for opioid misuse risk. The primary objective was to (1) identify characteristics associated with a high-risk SOAPP-SF score and noncompliant toxicology test, and (2) determine SOAPP-SF utility to predict noncompliant toxicology tests. From July 1, 2017, to December 31, 2017, new patients completed the Edmonton Symptom Assessment Scale (ESAS), SOAPP-SF, and narcotic use agreement. Toxicology test results were collected at subsequent visits. Of 223 distinct patients, 96% completed SOAPP-SF. Mean age was 61 ± 12.7 years, 58% were female, 68% were White, and 28% were Black. Eighty-three eligible patients (38%) completed toxicology testing. Younger age, male sex, and increased ESAS depression scores were associated with high-risk SOAPP-SF scores. Smoking habit was associated with an aberrant test. An SOAPP-SF score ≥ 3 predicted a noncompliant toxicology test. Male sex, young age, and higher ESAS depression score were associated with a high SOAPP-SF score. Smoking habit was associated with an aberrant test. An SOAPP-SF of ≥ 3 (sensitivity, 0.74; specificity, 0.64), not ≥ 4, was predictive of an aberrant test; however, performance characteristics were decreased from those published by Inflexxion, for ≥ 4 (sensitivity, 0.86; specificity, 0.67). The specificity warrants caution in falsely labeling patients. The SOAPP-SF may aid in meeting National Comprehensive Cancer Network recommendations to screen oncology patients for opioid misuse.

Translating Evidenced-Based Guidelines into Clinical Practice using Goal Setting and Palliative Program Dashboards (GP772)

• State sources of evidence-based palliative care guidelines• Describe methods of determining appropriate quality measures for individual practice• State potential outcomes/benefits of utilizing dashboards for guideline implementation. Palliative medicine practice is increasingly informed by evidence from clinical trials performed in academic medical centers. This evidence informs national practice guidelines, such as the National Consensus Project (NCP) and American Society of Clinical Oncology, aimed at improving quality of patient care. Translating these evidence-based guidelines into clinical practice is difficult due to resource limitations and lack of established models of palliative care delivery. This leads to gaps between published guidelines and clinical practice, particularly in the community setting. 1. State sources of palliative care guidelines 2. Describe methods of determining appropriate quality measures for individual practice 3. State potential outcomes/benefits of utilizing dashboards for guideline implementation Two palliative care programs, one academic and one community-based, translated guidelines into practice using interdisciplinary goal setting and creation of palliative care dashboards.The programs compared their practice to national guidelines to identify opportunities for improvement. Goals identified included implementation of opioid risk assessment, chemotherapy at end of life, 30-day readmissions, and frequency of palliative consultation for patients with advanced lung cancer. The outpatient Penn Medicine Lancaster General Health program, providing primarily Palliative Care in Oncology, used program dashboards to measure and encourage progress on identified goals, resulting in >50% improvement in measures such as palliative consultation for advanced cancers. Penn State Health Palliative Care implemented dashboard goals informed by NCP guidelines including psychosocial support and advance care planning completion. This led to >60% improvement in measured outcomes during the first year of implementation. Goal setting and creation of program dashboards can facilitate application of palliative guidelines.

Prevalence and Health Characteristics of Prescription Opioid Use, Misuse, and Use Disorders Among U.S. Adolescents

PurposeThe prevalence of past-year prescription opioid use (POU), nonmedical POU (NMPOU), and POU disorder (POUD) and their correlates were examined in a national sample of American adolescents (N = 41,579). MethodsThis study used data from the public-use files of the 2015, 2016, and 2017 National Surveys on Drug Use and Health, which captured substance use and mental health problems among noninstitutionalized individuals. Prevalence and specific types of prescription opioids and other substances used and misused in the past year were examined among adolescents. Logistic regression analyses were conducted to determine correlates (demographics, other substances used, past-year major depressive episode, school enrollment, two-parent household, number of lifetime medical conditions, and survey year) of POU, NMPOU, and POUD. ResultsMultiple substance use was common within the past year. The most frequently used prescription opioids were hydrocodone, codeine, oxycodone, and other opioids among adolescents. Cannabis use disorder and alcohol use disorder were comparatively prevalent among opioid misusers. Several correlates (demographics, other substances used, lifetime medical conditions, major depressive episode, and survey year) of POU, NMPOU, and POUD were found. ConclusionsIn this national sample, multiple substance use was common among adolescents with past-year POU and NMPOU. Clinical screening for opioid use problems, assessment, and treatment expansion for POUD can focus on persons with substance use, mental health, and/or behavioral problems. Longitudinal studies are needed to better elucidate temporal associations between POU and NMPOU/POUD among adolescents, and more prevention and treatment research on rural residents and minority groups is needed.

The Risk of Prior Opioid Exposure on Future Opioid Use and Comorbidities in Individuals With Non-Acute Musculoskeletal Knee Pain.

ObjectivesDue to their potentially deleterious effects, minimizing the use of opioids for musculoskeletal pain is a priority for healthcare systems. The objective of this study was to examine the risk of future opioid prescription use based on prior opioid use within a non-surgical cohort with musculoskeletal knee pain. We also examined the risk of pre-existing comorbidities on future opioid use, and the risk of prior opioid use on future comorbidities (sleep, mental health, cardiometabolic disorders).MethodsData came from the Military Health System Data Repository for 80 290 consecutive beneficiaries with an initial episode of care for patellofemoral pain from January 1, 2010 through December 31, 2011. Risk was calculated using 2 × 2 tables based on pre- and post-opioid utilization and comorbid diagnosis. Risk ratios, relative and absolute risk increases, and numbers needed to harm were calculated, all with 95% confidence intervals.ResultsPrior opioid use resulted in a risk ratio of 18.0 (95 CI 17.1, 19.0) and an absolute risk increase of 61.6% for future opioid use (numbers needed to harm = 2). The presence of all comorbidities (except cardiometabolic syndrome) were associated with a significant relative risk for future opioid use (RR range 1.2-1.5), but the absolute risk increase was trivial (range 0.7%-2.2%). The relative risk for a chronic pain diagnosis, traumatic brain injury/concussion, insomnia, depression, and PTSD were all significantly higher in those with prior opioid use (1.3-1.6), but absolute risk increase was minimal (1.1%-6.5%).DiscussionPrior opioid use was a strong risk factor for future opioid use in non-surgical patients with knee pain. These findings show that history of prior opioid use is important when assessing the risk of future opioid use, whereas prior comorbidities may not be as important. Opioid history assessment should be standard practice for all patients with patellofemoral pain in whom an opioid prescription is considered.

Predicting Opioid Dependence with Marijuana Use and Multi-Layer Perceptron Classifiers

Objective. To study the correlation between opioid dependence and marijuana use and identify actionable improvements to opioid risk assessment. Data & Methods. Labeled data sets were created from the 2016 National Survey on Drug Use and Health (NSDUH) and the eICU Collaborative Research Database (eICU). Multilayer perceptron (MLP) networks were trained and tested with the two data sets to compare the merit of the survey and medical data. Results. While the prevalence of opioid dependence is only roughly 1%, the classifiers trained with survey data can accurately predict the subjects at risk for opioid dependence (sensitivity = .71, specificity = .80, AUC = .81) with marijuana use history. Conclusion. The results indicate that supervised machine learning can be used to predict opioid dependence through demographic, socioeconomic, and behavioral features. The output indicates that having ever used marijuana (ever-use), a variable absent from eICU data and the Opioid Risk Tool, is important for predicting opioid dependence, highlighting gaps in medical data currently collected. The researchers propose several courses of action for the improvement of opioid risk assessment.

THE EFFICACY OF CASE-BASED INSTRUCTION ON STUDENT ATTITUDES TOWARDS PAIN AND OPIOID RISK ASSESSMENT IN OLDER ADULTS

A survey of US medical schools found that only 10-12 hours of the 4 year curriculum are dedicated to instruction in pain management in older adults. Since chronic pain afflicts 100 million Americans, and older adults have a higher risk of prescription medication misuse, there is urgency regarding proper education.This study evaluates the success of case-based instruction on the topics of pain management and opioid risk assessment, with a goal of increasing instructional hours in a format other than didactic. 200 fourth-year medical students were split into groups of 20, with 2 instructors in each room. A survey was administered pre/post workshop asking participants to rate 10 statements using a Likert scale. The 2 hour workshop involved case studies to work through while using a created pain instructional card.The case-based instruction format demonstrated high efficacy in shaping the beliefs and personal evaluations of medical students. Prior to the workshop, only 34% of students were positive about their pain assessment abilities. 9.5% were positive about their opioid conversion skills, and only 4% were positive about opioid risk assessment skills. After the workshop, these positive evaluations increased to 97%, 95%, and 92% respectively. The McNemar test proved these findings to be statistically significant (p<.0001). Case-based instruction with small-group discussion is a reliable tool in teaching medical trainees about pain management and opioid risk assessment in adults aged 65 and older. This workshop needs to be run with geriatric/palliative care residents to evaluate clinical incorporation of session concepts through resident charting.