A comparison of various risk screening methods in predicting discharge from opioid treatment. Clin J Pain. 2012;28:93-100. [PMID: 21750461 DOI: 10.1097/ajp.0b013e318225da9e]

Factors Associated with an Increased Risk of Opioid Misuse Among Patients with Non-Cancer Pain in Malaysian Pain Clinic Settings

This study examined the factors associated with a high risk of opioid misuse among patients receiving opioid treatment for their non-cancer pain in Malaysian pain clinics. The Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R), a validated instrument for predicting the risk of aberrant drug-related behaviors, were used as a proxy to indicate risk of opioid misuse. Data analysis was stratified into high-risk and low-risk patient groups. Patient factors assessed included pain intensity, pain interference with daily activities, and health-related quality of life. Prescription opioid exposure was examined via patient medical and prescription records review. Among the 61 patients recruited, 62.3% scored ≥18 on the SOAPP-R, which indicates a high risk for opioid misuse. Factors associated with a high risk of opioid misuse were found to be high level of pain interference with daily activities, poorer mental health, and younger age. High-risk patients were found to be prescribed a lower mean daily opioid dose of <20 mg/day compared to low-risk patients (20-49 mg/day). This highlights the need for further research to distinguish aberrant drug-related behaviors due to inadequate pain management from that of actual prescription opioid misuse among non-cancer pain patients attending pain clinics.

Bariatric Surgery and New-Onset Substance Use Disorders: A Systematic review and Meta-analysis

Increasing evidence suggests that bariatric surgery (BS) patients are at risk for substance abuse disorders (SUD). The purpose of this systematic review and meta-analysis was to determine the relationship between BS and the development of new-onset substance abuse disorder (SUDNO) in bariatric patients. On October 31, 2023, we reviewed the scientific literature following PRISMA guidelines. A total of 3242 studies were analyzed, 7 met the inclusion criteria. The pooled incidence of SUDNO was 4.28%. Patients' characteristics associated with SUDNO included preoperative mental disorders, high pre-BS BMI, and public health insurance. Surgical factors associated with new SUDNOs included severe complications in the peri- or postoperative period. The occurrence of SUDNOs is a non-negligeable complication after BS. Predisposing factors may be identified and preventive actions undertaken.

Opioid prescribing practices following bariatric surgery: a systematic review and pooled proportion meta-analysis

INTRODUCTION

A paucity of literature exists regarding current opioid prescribing and use following bariatric surgery. We aimed to characterize opioid prescribing practices and use following bariatric surgery to inform future studies and optimized prescribing practices.

METHODS AND PROCEDURE

We performed a systematic review of Ovid MEDLINE, Ovid Embase, Scopus, Web of Science Core Collection, and Cochrane Library (via WILEY) on August 20, 2021. Two reviewers reviewed and extracted data independently. Studies evaluating adult patients undergoing bariatric surgery that reported opioid prescriptions at discharge were included. Abstracts, non-English studies, and those with n < 5 were excluded. Primary outcomes assessed the amount of morphine milligram equivalents (MMEs) prescribed at discharge. Secondary outcomes evaluated opioids used following discharge, proportion of patients with unused opioid, and if unused opioids were properly discarded.

RESULTS

We evaluated 2113 studies, with 18 undergoing full-text review, and 5 meeting inclusion criteria. Overall, 847 patients were included, with 450 (53%) undergoing sleeve gastrectomy and 393 (46%) receiving Roux-en-Y gastric bypass. Most patients were female (n = 484/589, 82.2%), and the average age and BMI were 44.6 (± 11.8) years and 48.1 kg/m² (± 8.4 kg/m²), respectively. On average, 348.4 MMEs were prescribed to patients undergoing bariatric surgery. Patients used only 84.7 MMEs, with 87.0% (95% CI 66.0-99.0%) having unused opioid, and 41/120 (34.2%) retaining these excess opioids.

CONCLUSION

Nearly 90% of all bariatric patients evaluated in our systematic review are prescribed excessive opioids at discharge. Further work characterizing current opioid prescribing practices and use may help guide development of standardized post-bariatric surgery prescription guidelines.

New persistent opioid use after bariatric surgery: a systematic review and pooled proportion meta-analysis

INTRODUCTION

Increasing evidence suggests surgical patients are at risk for developing new, persistent opioid use (NPOU) following surgery. This risk may be heightened for patients undergoing bariatric surgery. Few studies have evaluated this important long-term outcome and little is known about the rate of NPOU, or factors associated with NPOU for bariatric surgery patients.

METHODS AND PROCEDURE

We conducted a systematic review of MEDLINE, Embase, Scopus, Web of Science, and Cochrane databases in August 2021. Studies were reviewed and data extracted independently by two reviewers following MOOSE guidelines. Studies evaluating bariatric surgery patients reporting NPOU, defined as new opioid use > 90 days after surgery, were included. Abstracts, non-English, animal, n < 5, and pediatric studies were excluded. Primary outcome was NPOU prevalence, and secondary outcomes were patient and surgical factors associated with NPOU. Factors associated with NPOU are reported from findings of individual studies; meta-analysis could not be completed due to heterogeneity of reporting.

RESULTS

We retrieved a total of 2113 studies with 8 meeting inclusion criteria. In studies reporting NPOU rates (n = 4 studies), pooled prevalence was 6.0% (95% CI 4.0-7.0%). Patient characteristics reported by studies to be associated with NPOU included prior substance use (tobacco, alcohol, other prescription analgesics), preoperative mental health disorder (anxiety, mood disorders, eating disorders), and public health insurance. Surgical factors associated with NPOU included severe post-operative complications and in-hospital opioid use (peri- or post operatively).

CONCLUSIONS

NPOU is an uncommon but important complication following bariatric surgery, with patient factors including prior substance abuse, mental health disorders, and use of public health insurance placing patients at increased risk, and surgical factors being complications and peri-operative opioid use. Studies evaluating techniques to reduce NPOU in these high-risk populations are needed.

Diagnostic and Predictive Capacity of the Spanish Versions of the Opioid Risk Tool and the Screener and Opioid Assessment for Patients with Pain-Revised: A Preliminary Investigation in a Sample of People with Noncancer Chronic Pain

INTRODUCTION

Accurate assessment of the risk of opioid abuse and misuse in people with noncancer chronic pain is crucial for their prevention. This study aimed to provide preliminary evidence of the diagnostic and predictive capacity of the Spanish versions of the Opioid Risk Tool (ORT) and the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R).

METHODS

We used the Current Opioid Misuse Measure (COMM) as criterion measure to assess the capacity of each tool to identify patients misusing opioids at the time of the assessment. Eighteen months later, we used the COMM and the Drug Abuse Screening Test-10 (DAST-10) to assess their predictive capacity. In total, 147 people with noncancer chronic pain participated in the diagnostic study, and 42 in the predictive study.

RESULTS

Receiver operating curve analysis showed that the SOAPP-R had an excellent capacity to identify participants who were misusing opioids at the time of assessment (area under the curve [AUC] = 0.827). The diagnostic capacity of the ORT was close to acceptable (AUC = 0.649-0.669), whereas its predictive capacity was poor (AUC = 0.522-0.554). The predictive capacity of the SOAPP-R was close to acceptable regarding misuse (AUC = 0.672) and poor regarding abuse (AUC = 0.423).

CONCLUSION

In the setting of Spanish-speaking communities, clinicians should be cautious when using these instruments to make decisions on opioid administration. Further research is needed on the diagnostic and predictive capacity of the Spanish versions of both instruments.

Opioid-Related Risk Screening Measures for the Emergency Care Setting

Efforts to minimize the impact of prescribed opioids on future adverse outcomes are reliant on emergency care providers' ability to screen and detect opioid use disorder (OUD). Many prescriptions are initiated in the emergency department (ED) for acute pain; thus, validated measures are especially needed. Our systematic review describes the available opioid-related screening measures identified through search of the available literature. Measures were categorized by intent and applied clinical setting. We found 44 articles, identifying 15 screening measures. Of these, nine were developed to screen for current opioid misuse and five to screen for risk of future opioid misuse. None were created for use outside of a chronic pain setting. Many measures were applied differently from intended purpose. Although several measures are available, screening for adverse opioid outcomes in the ED is hampered by lack of validated instruments. Development of clarified conceptual models and ED-specific research is necessary to limit OUD.

A Brief Screening Tool for Opioid Use Disorder: EMPOWER Study Expert Consensus Protocol

Growing concerns about the safety of long-term opioid therapy and its uncertain efficacy for non-cancer pain have led to relatively rapid opioid deprescribing in chronic pain patients who have been taking opioid for years. To date, empirically supported processes for safe and effective opioid tapering are lacking. Opioid tapering programs have shown high rates of dropouts and increases in patient distress and suicidal ideation. Therefore, safe strategies for opioid deprescribing that are more likely to succeed are urgently needed. In response to this demand, the EMPOWER study has been launched to examine the effectiveness of behavioral medicine strategies within the context of patient-centered opioid tapering in outpatient settings (https://empower.stanford.edu/). The EMPOWER protocol requires an efficient process for ensuring that collaborative opioid tapering would be offered to the most appropriate patients while identifying patients who should be offered alternate treatment pathways. As a first step, clinicians need a screening tool to identify patients with Opioid Use Disorder (OUD) and to assess for OUD severity. Because such a tool is not available, the study team composed of eight chronic pain and/or addiction experts has extended a validated screening instrument to develop a brief and novel consensus screening tool to identify OUD and assess for OUD severity for treatment stratification. Our screening tool has the potential to assist busy outpatient clinicians to assess OUD among patients receiving long-term opioid therapy for chronic pain.

How to Measure Pain

PURPOSE OF REVIEW

Pain is a multi-faceted symptom. Effective pain assessment involves properly defining the pain syndrome, utilizing various assessment tools, and recognizing different conditions which may affect the expression and the management of pain.

RECENT FINDINGS

Pain results from multiple physical and psychosocial etiological interplay. It has traditionally been categorized as acute or chronic with chronic pain having been categorized further into 6 categories in ICD 11. At the same time, the opioid epidemic and the recent surge in cannabis popularity further complicates pain assessment and effective pain management. Adequate management of pain begins with proper assessment including conducting extensive medical and psychosocial history and physical examination, and utilizing various pain and substance risk assessment tools. An interdisciplinary team approach may be more effective in managing complex pain behaviors compared to a solo approach.

Review of Factors, Methods, and Outcome Definition in Designing Opioid Abuse Predictive Models

Objective

Several opioid risk assessment tools are available to prescribers to evaluate opioid analgesic abuse among chronic patients. The objectives of this study are to 1) identify variables available in the literature to predict opioid abuse; 2) explore and compare methods (population, database, and analysis) used to develop statistical models that predict opioid abuse; and 3) understand how outcomes were defined in each statistical model predicting opioid abuse.

Design

The OVID database was searched for this study. The search was limited to articles written in English and published from January 1990 to April 2016. This search generated 1,409 articles. Only seven studies and nine models met our inclusion-exclusion criteria.

Results

We found nine models and identified 75 distinct variables. Three studies used administrative claims data, and four studies used electronic health record data. The majority, four out of seven articles (six out of nine models), were primarily dependent on the presence or absence of opioid abuse or dependence (ICD-9 diagnosis code) to define opioid abuse. However, two articles used a predefined list of opioid-related aberrant behaviors.

Conclusions

We identified variables used to predict opioid abuse from electronic health records and administrative data. Medication variables are the recurrent variables in the articles reviewed (33 variables). Age and gender are the most consistent demographic variables in predicting opioid abuse. Overall, there is similarity in the sampling method and inclusion/exclusion criteria (age, number of prescriptions, follow-up period, and data analysis methods). Intuitive research to utilize unstructured data may increase opioid abuse models' accuracy.

Post-Discharge Opioid Prescribing Patterns and Risk Factors in Patients Undergoing Elective Colon and Rectal Surgery Without Complications

BACKGROUND

Few studies have examined opioid usage in the post-discharge period. The primary aim of this study was to evaluate the need for post-discharge opioids in a unique set of patients: those undergoing colorectal operations and experiencing no surgical complications. The secondary aim was to examine the accuracy of the Opioid Risk Tool (ORT) to predict the need for additional opioid prescriptions. Our hypotheses were that few patients would require post-discharge opioids and that the ORT would predict patients requiring post-discharge opioids.

METHODS

All patients undergoing elective colorectal surgery between January 2012 and December 2014 that did not experience NSQIP complications within 30 days or receive an opioid prescription in the 2 weeks prior to operation were reviewed. ORT score was calculated for all patients. Patients requiring post-discharge opioids within 1 year were compared to those not receiving additional opioids after discharge.

RESULTS

There were 367 patients that met inclusion criteria and 56 (15%) received post-discharge opioids. Opioid use in the year prior to surgery was the only significant risk factor to receive post-discharge opioids. Opioids were prescribed for three distinct reasons by three groups of prescribers. The ORT did not accurately predict need for post-discharge opioids.

CONCLUSIONS

Even among patients without complications, 15% received post-discharge opioid prescriptions. Previous opioid use within the year prior to surgery was a major risk factor for additional prescriptions. The timing and prescriber's specialty are impacted by the indication for post-discharge opioids. The ORT did not predict which patients would receive post-discharge opioids.

Systematic review to determine which validated measurement tools can be used to assess risk of problematic analgesic use in patients with chronic pain

Background

Misuse of prescription opioids, and other drugs prescribed for chronic pain, has increased, with major concerns about harm. This review was undertaken to identify validated measurement tools for risk assessment and monitoring of chronic non-cancer pain patients being considered for, or currently prescribed, analgesic drugs with abuse potential.

Methods

Selected databases (Embase, Medline, Cochrane library/CENTRAL, PsycINFO, PubMed, CINAHL) were systematically searched for studies evaluating tools for risk of analgesic misuse, either before, or during, analgesic therapy for chronic pain, using predetermined inclusion/exclusion criteria. Two independent reviewers assessed abstracts, selected full texts, extracted data and assessed quality.

Results

30 studies from 1844 met inclusion criteria, including three systematic reviews, with an additional four studies from bibliography review. The studies covered 14 tools pertaining to opioid use, with none for non-opioid analgesics.

Conclusions

For predicting prescription opioid misuse, the pain medication questionnaire (PMQ) and the screener and opioid assessment for patients with pain (SOAPP) had the best evidence; both developed and validated in five separate studies (four each of acceptable quality). The current opioid misuse measure (COMM) performed best screening for current misuse, developed and validated in three studies of acceptable quality. A small number of tools may accurately predict, or identify, opioid misuse. There are none for non-opioid analgesics, where there is a potential need.

Persistence with opioids post discharge from hospitalisation for surgery in Australian adults: a retrospective cohort study

OBJECTIVE

To determine time to opioid cessation post discharge from hospital in persons who had been admitted to hospital for a surgical procedure and were previously naïve to opioids.

DESIGN, SETTING AND PARTICIPANTS

Retrospective cohort study using administrative health claims database from the Australian Government Department of Veterans' Affairs (DVA). DVA gold card holders aged between 18 and 100 years who were admitted to hospital for a surgical admission between 1 January 2014 and 30 December 2015 and naïve to opioid therapy prior to admission were included in the study. Gold card holders are eligible for all health services that DVA funds.

MAIN OUTCOME MEASURES

The outcome of interest was time to cessation of opioids, with follow-up occurring over 12 months. Cessation was defined as a period without an opioid prescription that was equivalent to three times the estimated supply duration. The proportion who became chronic opioid users was defined as those who continued taking opioids for greater than 90 days post discharge. Cumulative incidence function with death as a competing event was used to determine time to cessation of opioids post discharge.

RESULTS

In 2014-2015, 24 854 persons were admitted for a surgical admission. In total 3907 (15.7%) were discharged on opioids. In total 3.9% of those discharged on opioids became chronic users of opioids. The opioid that the patients were most frequently discharged with was oxycodone; oxycodone alone accounted for 43%, while oxycodone with naloxone accounted for 8%.

CONCLUSIONS

Opioid initiation post-surgical hospital admission leads to chronic use of opioids in a small percentage of the population. However, given the frequency at which surgical procedures occur, this means that a large number of people in the population may be affected. Post-discharge assessment and follow-up of at-risk patients is important, particularly where psychosocial elements such as anxiety and catastrophising are identified.

Development of the Revised Opioid Risk Tool to Predict Opioid Use Disorder in Patients with Chronic Nonmalignant Pain

The Opioid Risk Tool (ORT) is a commonly used measure of risk of aberrant drug-related behaviors in patients with chronic pain prescribed opioid therapy. In this study, the discriminant predictive validity of the ORT was evaluated in a unique cohort of patients with chronic nonmalignant pain (CNMP) on long-term opioid therapy who displayed no evidence of developing an opioid use disorder (OUD) and a sample of patients with CNMP who developed an OUD after commencing opioid therapy. Results revealed that the original ORT was able to discriminate between patients with and without OUDs (odds ratio = 1.624; 95% confidence interval [CI] = 1.539-1.715, P < .001). A weighted ORT eliminating the gender-specific history of preadolescent sexual abuse item revealed comparable results (odds ratio = 1.648, 95% CI = 1.539-1.742, P < .001). A revised unweighted ORT removing the history of preadolescent sexual abuse item was notably superior in predicting the development of OUD in patients with CNMP on long-term opioid therapy (odds ratio = 3.085; 95% CI = 2.725-3.493; P < .001) with high specificity (.851; 95% CI = .811-.885), sensitivity (.854; 95% CI = .799-.898), positive predictive value (.757; 95% CI = .709-.799), and negative predictive value (.914; 95% CI = .885-.937). Perspective: The revised ORT is the first tool developed on a unique cohort to predict the risk of developing an OUD in patients with CNMP receiving opioid therapy, as opposed to aberrant drug-related behaviors that can reflect a number of other issues. The revised ORT has clinical usefulness in providing clinicians a simple, validated method to rapidly screen for the risk of developing OUD in patients on or being considered for opioid therapy.

Rational Urine Drug Monitoring in Patients Receiving Opioids for Chronic Pain: Consensus Recommendations

Objective

To develop consensus recommendations on urine drug monitoring (UDM) in patients with chronic pain who are prescribed opioids.

Methods

An interdisciplinary group of clinicians with expertise in pain, substance use disorders, and primary care conducted virtual meetings to review relevant literature and existing guidelines and share their clinical experience in UDM before reaching consensus recommendations.

Results

Definitive (e.g., chromatography-based) testing is recommended as most clinically appropriate for UDM because of its accuracy; however, institutional or payer policies may require initial use of presumptive testing (i.e., immunoassay). The rational choice of substances to analyze for UDM involves considerations that are specific to each patient and related to illicit drug availability. Appropriate opioid risk stratification is based on patient history (especially psychiatric conditions or history of opioid or substance use disorder), prescription drug monitoring program data, results from validated risk assessment tools, and previous UDM. Urine drug monitoring is suggested to be performed at baseline for most patients prescribed opioids for chronic pain and at least annually for those at low risk, two or more times per year for those at moderate risk, and three or more times per year for those at high risk. Additional UDM should be performed as needed on the basis of clinical judgment.

Conclusions

Although evidence on the efficacy of UDM in preventing opioid use disorder, overdose, and diversion is limited, UDM is recommended by the panel as part of ongoing comprehensive risk monitoring in patients prescribed opioids for chronic pain.

Re-assessing the Validity of the Opioid Risk Tool in a Tertiary Academic Pain Management Center Population

OBJECTIVE

To analyze the validity of the Opioid Risk Tool (ORT) in a large. diverse population.

DESIGN

A cross-sectional descriptive study.

SETTING

Academic tertiary pain management center.

SUBJECTS

A total of 225 consecutive new patients, aged 18 years or older.

METHODS

Data collection included demographics, ORT scores, aberrant behaviors, pain intensity scores, opioid type and dose, smoking status, employment, and marital status.

RESULTS

In this population, we were not able to replicate the findings of the initial ORT study. Self-report was no better than chance in predicting those who would have an opioid aberrant behavior. The ORT risk variables did not predict aberrant behaviors in either gender group. There was significant disparity in the scores between self-reported ORT and the ORT supplemented with medical record data (enhanced ORT). Using the enhanced ORT, high-risk patients were 2.5 times more likely to have an aberrant behavior than the low-risk group. The only risk variable associated with aberrant behavior was personal history of prescription drug misuse.

CONCLUSIONS

The self-report ORT was not a valid test for the prediction of future aberrant behaviors in this academic pain management population. The original risk categories (low, medium, high) were not supported in the either the self-reported version or the enhanced version; however, the enhanced data were able to differentiate between high- and low-risk patients. Unfortunately, without technological automation, the enhanced ORT suffers from practical limitations. The self-report ORT may not be a valid tool in current pain populations; however, modification into a binary (high/low) score system needs further study.

The Opioid Abuse Risk Screener predicts aberrant same-day urine drug tests and 1-year controlled substance database checks: A brief report

The Opioid Abuse Risk Screener was developed to support well-informed decision-making in opioid analgesic prescribing by extending the breadth of psychiatric risk factors evaluated relative to other non–clinician-administered measures. We examined the preliminary predictive validity of the Opioid Abuse Risk Screener relative to the widely used Screener and Opioid Assessment for Patients with Pain–Revised in predicting aberrant urine drug tests and controlled substance database checks. The Opioid Abuse Risk Screener is significantly different from the Screener and Opioid Assessment for Patients with Pain–Revised in predicting aberrant same-day urine drug tests (Z = 2.912, p = 0.0036) and controlled substance database checks within 1 year of assessment (Z = 3.731, p = 0.0002). Promising preliminary analyses using machine learning methods are also discussed.

Use and Misuse of Opioids in Chronic Pain

The prescribing of opioid analgesics for pain management-particularly for management of chronic noncancer pain (CNCP)-has increased more than fourfold in the United States since the mid-1990s. Yet there is mounting evidence that opioids have only limited effectiveness in the management of CNCP, and the increased availability of prescribed opioids has contributed to upsurges in opioid-related addiction cases and overdose deaths. These concerns have led to critical revisiting and modification of prior pain management practices (e.g., guidelines from the Centers for Disease Control and Prevention), but the much-needed changes in clinical practice will be facilitated by a better understanding of the pharmacology and behavioral effects of opioids that underlie both their therapeutic effects (analgesia) and their adverse effects (addiction and overdose). With these goals in mind, this review first presents an overview of the contemporary problems associated with opioid management of CNCP and the related public health issues of opioid diversion, overdose, and addiction. It then discusses the pharmacology underlying the therapeutic and main adverse effects of opioids and its implications for clinical management of CNCP within the framework of recent clinical guidelines for prescribing opioids in the management of CNCP.

Screening tools to assess risk of opioid abuse in the Canadian primary healthcare setting

Opioid therapy for patients with chronic pain is increasing in frequency along with rates of opioid abuse. Many screening tools are available to assess for the risk of opioid abuse. NPs should use screening tools that are cross-validated for use in chronic pain patients in the Canadian primary healthcare setting.

Psychoactive substance use prior to the development of iatrogenic opioid abuse: A descriptive analysis of treatment-seeking opioid abusers

Physicians are frequently thought to be a major source of opioids diverted for non-therapeutic purposes, largely because it is so difficult for them to discern which patients might abuse them. In this study we sought to determine whether those who were first exposed to an opioid through a physician's prescription, and subsequently developed a substance use disorder, had a history of using psychoactive drugs prior to abusing opioids. Patients entering one of 125 drug treatment programs across the country for opioid abuse were asked to provide detailed histories of psychoactive drug use prior to their initial opioid exposure. Nearly half (47.1%, N=4493) indicated they were first exposed to opioids through a prescription from their physician to treat pain. Of these, 94.6% indicated experience with at least one other psychoactive substance (mean=4.55±0.05) prior to, or coincident with, their first exposure to an opioid from a physician. Alcohol (92.9%), nicotine and/or tobacco (89.5%), and marijuana (87.4%) were used by nearly all patients prior to, or coincident with, their first opioid prescription. If one excludes these drugs, 70.1% (N=2913) still reported some psychoactive drug use of licit or illicit stimulants (77.8%), benzodiazepines (59.8%) or hallucinogens (55.2%). Our results indicate that pain patients who developed a substance use disorder were rarely drug naïve prior to receiving their first opioid prescription. Rather, most have an extensive history of psychoactive drug use. As such, physicians should routinely ascertain complete licit and illicit drug histories in patients for whom they prescribe opioids.

Drug Overdose: Differing Risk Models for Women and Men among Opioid Users with Non-Cancer Pain

OBJECTIVE

To examine risk factors for drug overdose by sex reflecting differing patterns of opioid and other drug use.

DESIGN

National privately insured cohort.

SUBJECTS

206,869 subjects filling ≥2 opioid prescriptions from January 2009 through July 2012.

METHODS

Sex-specific prediction models for future drug overdose developed and validated using variables measured within 6 months after starting opioids: demographics, substance use, comorbidities, opioid dose, and psychoactive drugs. Logistic regression and split-sample validation were used.

RESULTS

Area under the receiver operating curves (AUCs) for both sex-specific risk models (0.80) were higher (P < 0.001) than for daily opioid dose alone. Risk factors for drug overdose were similar by sex but effects differed. For both sexes, substance use was the strongest predictor but the adjusted odds ratio (AOR) [95% CI] was 5.95 [4.33, 8.06] for women vs. 4.69 [3.24, 6.68] for men. AORs for daily opioid dose rose monotonically in men to 2.42 [1.76, 3.28] for high vs. low dose but were non-monotonic in women with 1.79 [1.35, 2.35] for high dose. AOR for 1-60 days of antidepressants vs. none was significant only in men (1.98 [1.32, 2.9]). AOR for benzodiazepine use was higher in men than women (2.75 vs 2.35, respectively). Zolpidem use was significant only in women. AUCs for sex-specific models were lower for the opposite sex and significantly lower for the men's model in the women's derivation dataset.

CONCLUSIONS

These models reveal similar risk factors by sex for drug overdose in opioid users but significant differences in effects that, if validated in other cohorts, may inform differing risk management strategies.

Impact of an Electronic Pain and Opioid Risk Assessment Program: Are There Improvements in Patient Encounters and Clinic Notes?

OBJECTIVE

A comprehensive electronic self-report assessment, called PainCAS^® (Clinical Assessment System), was developed and implemented in three clinics. PainCAS captures demographic information, pain assessment, quality-of-life variables, and contains validated, electronic versions of screeners for risk of aberrant opioid-related behaviors (the SOAPP and COMM). This investigation sought to determine the impact of PainCAS on documentation of pain and opioid risk evaluations. Exploratory hypotheses examined changes in the content of the patient-provider interaction and any impact on outcome.

METHODS

In study 1, chart reviews were conducted between pain patients who completed the electronic program (N = 89) and controls who represented standard of care (N = 120). In study 2, two groups of chronic pain patients (treatment-as-usual Control condition = 75, PainCAS Experimental condition = 72) were interviewed after completing their index clinic visit and completed mailed questionnaires 3 months later.

RESULTS

Results revealed significantly more key, pain-relevant chart elements documented in charts of patients who completed the PainCAS than those using a traditional paper questionnaire (Study 1; <0.001). In Study 2, the Experimental group reported more discussion about legal issues, substance use history, and medication safety compared with the Control group (p < 0.05). Satisfaction questionnaire responses supported provider and patient perceived benefit from using PainCAS. However, as expected, no differences were found between conditions on outcome measures of pain, mood, and function.

CONCLUSIONS

Results indicate that use of the PainCAS electronic pain assessment improves documentation of chart elements in clinic notes and is associated with increased discussion of key, pain-relevant topics during the clinical visit.

CDC Guideline for Prescribing Opioids for Chronic Pain--United States, 2016

IMPORTANCE

Primary care clinicians find managing chronic pain challenging. Evidence of long-term efficacy of opioids for chronic pain is limited. Opioid use is associated with serious risks, including opioid use disorder and overdose.

OBJECTIVE

To provide recommendations about opioid prescribing for primary care clinicians treating adult patients with chronic pain outside of active cancer treatment, palliative care, and end-of-life care.

PROCESS

The Centers for Disease Control and Prevention (CDC) updated a 2014 systematic review on effectiveness and risks of opioids and conducted a supplemental review on benefits and harms, values and preferences, and costs. CDC used the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework to assess evidence type and determine the recommendation category.

EVIDENCE SYNTHESIS

Evidence consisted of observational studies or randomized clinical trials with notable limitations, characterized as low quality using GRADE methodology. Meta-analysis was not attempted due to the limited number of studies, variability in study designs and clinical heterogeneity, and methodological shortcomings of studies. No study evaluated long-term (≥1 year) benefit of opioids for chronic pain. Opioids were associated with increased risks, including opioid use disorder, overdose, and death, with dose-dependent effects.

RECOMMENDATIONS

There are 12 recommendations. Of primary importance, nonopioid therapy is preferred for treatment of chronic pain. Opioids should be used only when benefits for pain and function are expected to outweigh risks. Before starting opioids, clinicians should establish treatment goals with patients and consider how opioids will be discontinued if benefits do not outweigh risks. When opioids are used, clinicians should prescribe the lowest effective dosage, carefully reassess benefits and risks when considering increasing dosage to 50 morphine milligram equivalents or more per day, and avoid concurrent opioids and benzodiazepines whenever possible. Clinicians should evaluate benefits and harms of continued opioid therapy with patients every 3 months or more frequently and review prescription drug monitoring program data, when available, for high-risk combinations or dosages. For patients with opioid use disorder, clinicians should offer or arrange evidence-based treatment, such as medication-assisted treatment with buprenorphine or methadone.

CONCLUSIONS AND RELEVANCE

The guideline is intended to improve communication about benefits and risks of opioids for chronic pain, improve safety and effectiveness of pain treatment, and reduce risks associated with long-term opioid therapy.

CDC Guideline for Prescribing Opioids for Chronic Pain - United States, 2016

This guideline provides recommendations for primary care clinicians who are prescribing opioids for chronic pain outside of active cancer treatment, palliative care, and end-of-life care. The guideline addresses 1) when to initiate or continue opioids for chronic pain; 2) opioid selection, dosage, duration, follow-up, and discontinuation; and 3) assessing risk and addressing harms of opioid use. CDC developed the guideline using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework, and recommendations are made on the basis of a systematic review of the scientific evidence while considering benefits and harms, values and preferences, and resource allocation. CDC obtained input from experts, stakeholders, the public, peer reviewers, and a federally chartered advisory committee. It is important that patients receive appropriate pain treatment with careful consideration of the benefits and risks of treatment options. This guideline is intended to improve communication between clinicians and patients about the risks and benefits of opioid therapy for chronic pain, improve the safety and effectiveness of pain treatment, and reduce the risks associated with long-term opioid therapy, including opioid use disorder, overdose, and death. CDC has provided a checklist for prescribing opioids for chronic pain (http://stacks.cdc.gov/view/cdc/38025) as well as a website (http://www.cdc.gov/drugoverdose/prescribingresources.html) with additional tools to guide clinicians in implementing the recommendations.

Risk for Opioid Misuse Among Emergency Department Cancer Patients

OBJECTIVES

One of the most challenging areas of emergency medicine practice is the management and treatment of severe and persistent pain, including cancer-related pain. Emergency departments (EDs) in the United States frequently provide care for patients with cancer and an increasing concern is the potential for opioid misuse in this patient group. The authors determined the risk for opioid misuse among ED cancer patients with pain and assessed demographic and clinical factors associated with increased misuse risk. The Texas state prescription monitoring program was also queried for evidence of multiple opioid prescriptions for comparing low- and high-risk groups.

METHODS

The Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) was administered to assess risk for opioid misuse among cancer patients presenting to the ED of a comprehensive cancer center in the United States. Eligibility criteria included: 1) presentation for treatment of chronic cancer-related pain while taking a prescribed schedule II opioid for analgesia, 2) age of 18 years or older, 3) ability to speak English, and 4) ability to understand the study and give written informed consent.

RESULTS

Of 934 ED patients screened for the study, 290 were eligible and 209 participated (72% response rate). On the basis of the recommended SOAPP-R cutoff score of 18, a total of 71 of the 209 patients (34%) were categorized as having a high risk of misuse. Of note, 15% and 4% of all patients reported past or current use of illicit substances, respectively. The total number of annual opioid prescriptions (17.8 vs. 12.6; p = 0.023) differed between the high- versus low-risk groups. Multivariable analyses showed that depression (odds ratio [OR] = 3.06, 95% confidence interval [CI] = 1.45 to 6.48; p = 0.003), poor coping (OR = 1.08, 95% CI = 1.03 to 1.13; p = 0.001), and illicit substance use (OR = 28.30, 95% CI = 2.97 to 269.24; p = 0.029) were significantly associated with high risk of opioid misuse.

CONCLUSIONS

The risk of opioid misuse among cancer patients is substantial. Screening for opioid misuse in the ED is feasible.

Factors Associated with Opioid Use in a Cohort of Patients Presenting for Surgery

Objectives. Patients taking opioids prior to surgery experience prolonged postoperative opioid use, worse clinical outcomes, increased pain, and more postoperative complications. We aimed to compare preoperative opioid users to their opioid naïve counterparts to identify differences in baseline characteristics. Methods. 107 patients presenting for thoracotomy, total knee replacement, total hip replacement, radical mastectomy, and lumpectomy were investigated in a cross-sectional study to characterize the associations between measures of pain, substance use, abuse, addiction, sleep, and psychological measures (depressive symptoms, Posttraumatic Stress Disorder symptoms, somatic fear and anxiety, and fear of pain) with opioid use. Results. Every 9-point increase in the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) score was associated with 2.37 (95% CI 1.29–4.32) increased odds of preoperative opioid use (p = 0.0005). The SOAPP-R score was also associated with 3.02 (95% CI 1.36–6.70) increased odds of illicit preoperative opioid use (p = 0.007). Also, every 4-point increase in baseline pain at the future surgical site was associated with 2.85 (95% CI 1.12–7.27) increased odds of legitimate preoperative opioid use (p = 0.03). Discussion. Patients presenting with preoperative opioid use have higher SOAPP-R scores potentially indicating an increased risk for opioid misuse after surgery. In addition, legitimate preoperative opioid use is associated with preexisting pain.

A multicenter, primary care-based, open-label study to identify behaviors related to prescription opioid misuse, abuse, and diversion in opioid-experienced patients with chronic moderate-to-severe pain

Objective

To compare the investigator assessment of patient risk for prescription opioid misuse, abuse, and diversion with patient self-reports of these activities in a population with chronic pain.

Methods

As a secondary objective of an open-label, multicenter, primary care-based clinical study to evaluate the success of converting opioid-experienced patients with chronic pain to morphine sulfate with sequestered naltrexone hydrochloride, risk for misuse, abuse, and diversion was assessed using two nonvalidated questionnaires: one was completed by the investigator and another by the patient (Self-Reported Misuse, Abuse, and Diversion [SR-MAD]). In addition, the validated Current Opioid Misuse Measure (COMM) test and urine drug test were used.

Results

Of the 684 patients assessed by the investigators, 537 returned the self-assessment, SR-MAD. Most patients were assigned by the investigator as low risk for misuse (84.2%), abuse (89.3%), and diversion (94.3%). Of the patients who returned SR-MAD, 60% indicated having taken more opioids than prescribed and 10.9% reported chewing or crushing their opioids in the past. Of the patients who completed COMM, 40.6% were deemed as having aberrant behaviors. COMM results correlated with the risk levels from the investigator assessment. One-third of patients (33.8%) had at least one abnormal urine drug test result.

Conclusion

More research is needed to better understand the gap between the investigator assessment of potential risk for misuse, abuse, and diversion and the actual extent of these behaviors among patients with chronic pain.

The Contribution of Differential Opioid Responsiveness to Identification of Opioid Risk in Chronic Pain Patients

The Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) predicts increased risk of opioid misuse in chronic pain patients. We evaluated whether higher SOAPP-R scores are associated with greater opioid reinforcing properties, potentially contributing to their predictive utility. Across 2 counterbalanced laboratory sessions, 55 chronic low back pain sufferers completed the SOAPP-R at baseline and measures of back pain intensity, evoked pain responsiveness (thermal, ischemic), and subjective opioid effects after receiving intravenous morphine (.08 mg/kg) or saline placebo. Morphine effect measures were derived for all outcomes, reflecting the difference between morphine and placebo condition values. Higher SOAPP-R scores were significantly associated with greater desire to take morphine again, less feeling down and feeling bad, and greater reductions in sensory low back pain intensity following morphine administration. This latter effect was due primarily to SOAPP-R content assessing medication-specific attitudes and behavior. Individuals exceeding the clinical cutoff (18 or higher) on the SOAPP-R exhibited significantly greater morphine liking, desire to take morphine again, and feeling sedated; less feeling bad; and greater reductions in sensory low back pain following morphine. The SOAPP-R may predict elevated opioid risk in part by tapping into individual differences in opioid reinforcing effects.

PERSPECTIVE

Based on placebo-controlled morphine responses, associations were observed between higher scores on a common opioid risk screener (SOAPP-R) and greater desire to take morphine again, fewer negative subjective morphine effects, and greater analgesia. Opioids may provide the best analgesia in those patients at greatest risk of opioid misuse.

The Effect of Motivational Interviewing on Prescription Opioid Adherence Among Older Adults With Chronic Pain

PURPOSE

To test the effect of office-based motivational interviewing (MI) on prescription opioid adherence in older adults with chronic pain.

DESIGN AND METHODS

Pre- and post-design was used. Thirty chronic pain patients participated in a 4-week MI in two outpatient settings.

FINDINGS

Participants demonstrated a significantly reduced risk of prescription opioid misuse, decreased substance use, increased self-efficacy, increased motivation to change, and decreased depression at both the post-test and 1-month follow-up.

PRACTICE IMPLICATION

MI can be effectively delivered in outpatient settings for older adults who are at risk for opioid misuse. Clinicians could incorporate MI techniques to enhance prescription opioid adherence.

The effectiveness and risks of long-term opioid therapy for chronic pain: a systematic review for a National Institutes of Health Pathways to Prevention Workshop

BACKGROUND

Increases in prescriptions of opioid medications for chronic pain have been accompanied by increases in opioid overdoses, abuse, and other harms and uncertainty about long-term effectiveness.

PURPOSE

To evaluate evidence on the effectiveness and harms of long-term (>3 months) opioid therapy for chronic pain in adults.

DATA SOURCES

MEDLINE, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, PsycINFO, and CINAHL (January 2008 through August 2014); relevant studies from a prior review; reference lists; and ClinicalTrials.gov.

STUDY SELECTION

Randomized trials and observational studies that involved adults with chronic pain who were prescribed long-term opioid therapy and that evaluated opioid therapy versus placebo, no opioid, or nonopioid therapy; different opioid dosing strategies; or risk mitigation strategies.

DATA EXTRACTION

Dual extraction and quality assessment.

DATA SYNTHESIS

No study of opioid therapy versus no opioid therapy evaluated long-term (>1 year) outcomes related to pain, function, quality of life, opioid abuse, or addiction. Good- and fair-quality observational studies suggest that opioid therapy for chronic pain is associated with increased risk for overdose, opioid abuse, fractures, myocardial infarction, and markers of sexual dysfunction, although there are few studies for each of these outcomes; for some harms, higher doses are associated with increased risk. Evidence on the effectiveness and harms of different opioid dosing and risk mitigation strategies is limited.

LIMITATIONS

Non-English-language articles were excluded, meta-analysis could not be done, and publication bias could not be assessed. No placebo-controlled trials met inclusion criteria, evidence was lacking for many comparisons and outcomes, and observational studies were limited in their ability to address potential confounding.

CONCLUSION

Evidence is insufficient to determine the effectiveness of long-term opioid therapy for improving chronic pain and function. Evidence supports a dose-dependent risk for serious harms.

PRIMARY FUNDING SOURCE

Agency for Healthcare Research and Quality.

Automated prediction of risk for problem opioid use in a primary care setting

Identification of patients at increased risk for problem opioid use is recommended by chronic opioid therapy (COT) guidelines, but clinical assessment of risks often does not occur on a timely basis. This research assessed whether structured electronic health record (EHR) data could accurately predict subsequent problem opioid use. This research was conducted among 2,752 chronic noncancer pain patients initiating COT (≥70 days' supply of an opioid in a calendar quarter) during 2008 to 2010. Patients were followed through the end of 2012 or until disenrollment from the health plan, whichever was earlier. Baseline risk indicators were derived from structured EHR data for a 2-year period prior to COT initiation. Problem opioid use after COT initiation was assessed by reviewing clinician-documented problem opioid use in EHR clinical notes identified using natural language processing techniques followed by computer-assisted manual review of natural language processing-positive clinical notes. Multivariate analyses in learning and validation samples assessed prediction of subsequent problem opioid use. The area under the receiver operating characteristic curve (c-statistic) for problem opioid use was .739 (95% confidence interval = .688, .790) in the validation sample. A measure of problem opioid use derived from a simple weighted count of risk indicators was found to be comparably predictive of the natural language processing measure of problem opioid use, with 60% sensitivity and 72% specificity for a weighted count of ≥4 risk indicators.

PERSPECTIVE

An automated surveillance method utilizing baseline risk indicators from structured EHR data was moderately accurate in identifying COT patients who had subsequent problem opioid use.

Opioid misuse behaviors in adolescents and young adults in a hematology/oncology setting

OBJECTIVE

To describe the occurrence and psychosocial correlates of aberrant opioid-associated behavior (AOB) in adolescent and young adult (AYA) hematology and oncology patients prescribed opioid therapy.

METHODS

Structured retrospective chart reviews were conducted for AYA patients (N = 398) accepted for active treatment at a large pediatric hematology/oncology institution over a 17-month period. Opioid therapy was documented in the records of 94 out of the 398 patients. The records of those 94 patients were further reviewed to identify documented AOB and documented correlates of AOB.

RESULTS

Of the 94 patients prescribed opioid therapy, 11.7% exhibited AOB. At least one psychosocial risk factor was identified in 90.9% of patients with AOB. Concurrent use of multiple opioids was significantly associated with AOB (p = .003).

CONCLUSIONS

Hematology/oncology AYA patients may exhibit AOB despite a legitimate clinical indication for opioid therapy. Clinicians should consider young patients' psychosocial risk factors when using opioid therapy.

Opioid misuse in Canada and critical appraisal of aberrant behavior screening tools

The incidence of prescription opioid misuse in Canada is increasing. Initiatives for safe prescribing practices for opioid medications include risk assessment for current and future opioid misuse. A clinical screening tool that can be universally applied to all patient populations is currently not available. Our objective was to provide a brief narrative review on opioid misuse from a Canadian perspective as well as a critical appraisal of the available clinical screening tools for detecting aberrant behaviors associated with opioid misuse. The Drug Abuse Screening Test, Addiction Behaviors Checklist, Diagnosis, Intractability, Risk and Efficacy Inventory, Pain Assessment and Documentation Tool, Prescription Drug Use Questionnaire, Prescription Opioid therapy Questionnaire, Screener and Opioid Assessment for Patients with Pain (SOAPP), Revised SOAPP, Pain Medication Questionnaire, Opioid Risk Tool and Current Opioid Misuse Measure were included in the following review. Overall, a wide variability in quality, sensitivity and specificity was observed between screening tools. There is an overall lack of applicability to diverse patient populations as the majority of screening tools have been validated in pain clinic populations only. To conclude, there is a great need for a validated and convenient aberrant behaviors risk assessment tool that can be applied to a diverse patient population in a clinical setting.