Screening for addiction in patients with chronic pain and "problematic" substance use: evaluation of a pilot assessment tool

Pleiotropy and genetically inferred causality linking multisite chronic pain to substance use disorders

Individuals suffering from chronic pain develop substance use disorders (SUDs) more often than others. Understanding the shared genetic influences underlying the comorbidity between chronic pain and SUDs will lead to a greater understanding of their biology. Genome-wide association statistics were obtained from the UK Biobank for multisite chronic pain (MCP, Neffective = 387,649) and from the Million Veteran Program and the Psychiatric Genomics Consortium meta-analyses for alcohol use disorder (AUD, Neffective = 296,974), cannabis use disorder (CanUD, Neffective = 161,053), opioid use disorder (OUD, Neffective = 57,120), and problematic tobacco use (PTU, Neffective = 270,120). SNP-based heritability was estimated for each of the traits and genetic correlation (rg) analyses were performed to assess MCP-SUD pleiotropy. Bidirectional Mendelian Randomization analyses evaluated possible causal relationships. Finally, to identify and characterize individual loci, we performed a genome-wide pleiotropy analysis and a brain-wide analysis using imaging phenotypes available from the UK Biobank. MCP was positively genetically correlated with AUD (rg = 0.26, p = 7.55 × 10-18), CanUD (rg = 0.37, p = 8.21 × 10-37), OUD (rg = 0.20, p = 1.50 × 10-3), and PTU (rg = 0.29, p = 8.53 × 10-12). Although the MR analyses supported bi-directional relationships, MCP had larger effects on AUD (pain-exposure: beta = 0.18, p = 8.21 × 10-4; pain-outcome: beta = 0.07, p = 0.018), CanUD (pain-exposure: beta = 0.58, p = 2.70 × 10-6; pain-outcome: beta = 0.05, p = 0.014) and PTU (pain-exposure: beta = 0.43, p = 4.16 × 10-8; pain-outcome: beta = 0.09, p = 3.05 × 10-6) than the reverse. The genome-wide analysis identified two SNPs pleiotropic between MCP and all SUD investigated: IHO1 rs7652746 (ppleiotropy = 2.69 × 10-8), and CADM2 rs1248857 (ppleiotropy = 1.98 × 10-5). In the brain-wide analysis, rs7652746 was associated with multiple cerebellum and amygdala imaging phenotypes. When analyzing MCP pleiotropy with each SUD separately, we found 25, 22, and 4 pleiotropic variants for AUD, CanUD, and OUD, respectively. To our knowledge, this is the first large-scale study to provide evidence of potential causal relationships and shared genetic mechanisms underlying MCP-SUD comorbidity.

Psychiatric comorbidities in adults with sickle cell disease: A narrative review

Although descriptions of quality of life and patient reports of mood in sickle cell disease (SCD) have become more common in the literature, less is known about psychiatric illness prevalence, presentation, and treatment, particularly for adults. We provide a narrative review of what is known about common and debilitating psychiatric conditions such as depression, anxiety, and cognitive impairment, specifically for adults with SCD. We discuss the limitations of the current evidence, make provisional recommendations, and identify opportunities for research and improved care.

Algorithms to Identify Nonmedical Opioid Use

The rise in nonmedical opioid overdoses over the last two decades necessitates improved detection technologies. Manual opioid screening exams can exhibit excellent sensitivity for identifying the risk of opioid misuse but can be time-consuming. Algorithms can help doctors identify at-risk people. In the past, electronic health record (EHR)-based neural networks outperformed Drug Abuse Manual Screenings in sparse studies; however, recent data shows that it may perform as well or less than manual screenings. Herein, a discussion of several different manual screenings and recommendations is contained, along with suggestions for practice. A multi-algorithm approach using EHR yielded strong predictive values of opioid use disorder (OUD) over a large sample size. A POR (Proove Opiate Risk) algorithm provided a high sensitivity for categorizing the risk of opioid abuse within a small sample size. All established screening methods and algorithms reflected high sensitivity and positive predictive values. Neural networks based on EHR also showed significant effectiveness when corroborated with Drug Abuse Manual Screenings. This review highlights the potential of algorithms for reducing provider costs and improving the quality of care by identifying nonmedical opioid use (NMOU) and OUD. These tools can be combined with traditional clinical interviewing, and neural networks can be further refined while expanding EHR.

Opioid Disposal Practices of Patients with Life-Limiting Cancers in an Outpatient Palliative Care Clinic: A Cross-Sectional Study

Background: Patients with life-limiting cancers are commonly prescribed opioids to manage pain, dyspnea, and cough. Proper prescription opioid disposal is essential to prevent poisonings and deaths. Objective: We examined opioid disposal practices of patients referred to a Canadian outpatient palliative care clinic (OPCC). The primary objective was to determine the prevalence of OPCC patients who did not routinely dispose their opioids. The secondary objectives were to examine their methods of opioid disposal and to identify patient characteristics associated with routine disposal of opioids. Design and Setting: This cross-sectional study involved a retrospective chart review of new, adult patients who were seen in a Canadian OPCC (September 2018-August 2019) and completed a survey about opioid-related constructs: source of prescriptions, use, storage, disposal, and knowledge about associated harms. Results: Among the 122 study participants, half (58/111, 52.3%) reported that they did not routinely dispose their opioids. The most common method of disposal was by giving them to pharmacists (69/88, 78.4%). Cannabis use (odds ratio [OR]: 3.7, 95% confidence interval [CI]: 1.1-11.8) and neuropathic medication use (OR: 3.0, 95% CI: 1.2-7.2) were positively associated with routine disposal of opioids. Conversely, reports of an increased amount of opioid use in the past six months were negatively associated with routine disposal of opioids (OR: 0.38, 95% CI: 0.16-0.88). Conclusion: The high prevalence of people with life-limiting illnesses who do not routinely dispose their opioids requires increased attention. Interventions, such as education, are needed to reduce medication waste and opioid-related harms.

Prevention, diagnosis, and treatment of opioid use disorder under the supervision of opioid stewardship programs: it's time to act now

The third opium war may have already started, not only due to illicit opioid trafficking from the Golden Crescent and Golden Triangle on the international front but also through indiscriminate opioid prescription and opioid diversion at home. Opioid use disorder (OUD), among unintentional injuries, has become one of the top 4 causes of death in the United States (U.S.). An OUD is defined as a problematic pattern of opioid use resulting in clinically significant impairment or distress, consisting of 2 or more of 11 problems within 1 year, as described by the Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition. Observation of aberrant behaviors of OUD is also helpful for overworked clinicians. For the prevention of OUD, the Opioid Risk Tool and the Current Opioid Misuse Measure are appropriate screening tests before and during opioid administration, respectively. Treatment of OUD consists of 3 opioid-based U.S. Food and Drug Administration-approved medications, including methadone, buprenorphine, and naltrexone, and non-opioid-based symptomatic medications for reducing opioid withdrawal syndromes, such as α2 agonists, β-blockers, antidiarrheals, antiemetics, non-steroidal anti-inflammatory drugs, and benzodiazepines. There are at least 6 recommendable guidelines and essential terms related to OUD. Opioid stewardship programs are now critical to promoting appropriate use of opioid medications, improving patient outcomes, and reducing misuse of opioids, influenced by the successful implementation of antimicrobial stewardship programs. Despite the lack of previous motivation, now is the critical time for trying to reduce the risk of OUD.

Pain Management and Risks Associated With Substance Use: Practice Recommendations

Assessing and managing pain while evaluating risks associated with substance use and substance use disorders continues to be a challenge faced by health care clinicians. The American Society for Pain Management Nursing and the International Nurses Society on Addictions uphold the principle that all persons with co-occurring pain and substance use or substance use disorders have the right to be treated with dignity and respect, and receive evidence-based, high quality assessment, and management for both conditions. The American Society for Pain Management Nursing and International Nurses Society on Addictions have updated their 2012 position statement on this topic supporting an integrated, holistic, multidimensional approach, which includes nonopioid and nonpharmacological modalities. Opioid use disorder is used as an exemplar for substance use disorders and clinical recommendations are included with expanded attention to risk assessment and mitigation with interventions targeted to minimize the risk for relapse or escalation of substance use. Opioids should not be excluded for anyone when indicated for pain management. A team-based approach is critical, promotes the active involvement of the person with pain and their support systems, and includes pain and addiction specialists whenever possible. Health care systems should establish policies and procedures that facilitate and support the principles and recommendations put forth in this article.

Construct validity and reproducibility of the Prescription Opioid Misuse And Abuse Questionnaire (POMAQ)

OBJECTIVE

The Prescription Opioid Misuse and Abuse Questionnaire was developed to identify prescription opioid abuse and misuse among patients with chronic pain, however, evidence of construct validity and reproducibility is needed.

METHODS

Chronic pain patients were recruited from five Department of Defense Military Health System clinics across the United States. Construct validity was examined using subjective clinician-reported and patient-reported measures as well as objective information (e.g. hair/urine drug screens and electronic medical records). Test-retest reliability was assessed across 2 timepoints among a subgroup of patients with stable chronic pain.

RESULTS

Of 3,263 screened patients, 938 (28.7%) met eligibility and were enrolled; 809 (86.2%) completed the Prescription Opioid Misuse and Abuse Questionnaire. Construct validity was supported by comparison to other validated questionnaires and hair and urine screens which yielded high agreements with patient reports on the Prescription Opioid Misuse and Abuse Questionnaire. Electronic medical record data supported patients' Prescription Opioid Misuse and Abuse Questionnaire responses regarding physician and emergency room visits and opioid refills. The Prescription Opioid Misuse and Abuse Questionnaire had excellent test-retest reliability; the percentage agreement between the two Prescription Opioid Misuse and Abuse Questionnaire administrations was high (>90%) for most questions.

DISCUSSION

Results suggest that the Prescription Opioid Misuse and Abuse Questionnaire is a valid and reproducible tool that can be used to assess the presence of prescription opioid misuse and abuse among patients with chronic pain.

Addressing the Opioid Epidemic: Recommended Solutions from Physicians

The purpose of this study was to assess physicians’ accounts related to the current opioid epidemic and to identify solutions that they feel would be most successful in addressing opioid misuse and overuse. A survey was administered a group of physicians obtained from a nationwide database. Nearly all physicians surveyed believed there was a current opioid crisis in the United States and that physicians should take an active role in addressing opioid use in patients. Four key themes emerged regarding solutions to the opioid crisis: i) policy change, ii) improve treatment, iii) education, and iv) alternative treatment. The diversity of responses highlighted the need for a multifaceted approach to address opioid misuse and abuse.

A Comparison of Short Forms of the Screener and Opioid Assessment for Patients With Pain – Revised (SOAPP-R)

Abstract. The Screener and Opioid Assessment for Patients with Pain – Revised (SOAPP-R) is a 24-item self-report questionnaire that assesses risk of aberrant medication-related behavior among chronic pain patients. Recently, an 8-item version of the SOAPP-R that weights items differentially was proposed. However, no previous study had compared the 8-item form with other short versions of the SOAPP-R, including a static 12-item short form and computer-based versions customizing the test length to the individual respondent. Moreover, no prior research had investigated combining the 8-item short form with customized computer-based stopping rules to further enhance efficiency. The objectives of this study were to compare the 8-item version with previously recommended short forms of the SOAPP-R, and to develop and evaluate a new version of the SOAPP-R combining the 8-item version with computer-based stopping rules. Versions were compared via sensitivity, specificity, and mean test length using real-data simulation of three datasets. Although results varied across datasets, the 8-item SOAPP-R compared favorably to previously recommended forms. Combining the 8-item form with computer-based stopping rules reduced the mean test length without affecting sensitivity or specificity; thus, the combined approach is recommended. The methodology used to shorten questionnaires via computer-based testing can also be applied to other instruments.

Predicting opioid use disorder in patients with chronic pain who present to the emergency department

Background

Emergency department (ED) patients with chronic pain challenge providers to make quick and accurate assessments without an in-depth pain management consultation. Emergency physicians need reliable means to determine which patients may receive opioid therapy without exacerbating opioid use disorder (OUD).

Methods

Eighty-nine ED patients with a chief complaint of chronic pain were enrolled. Researchers administered questionnaires and reviewed medical and state prescription monitoring database information. Participants were classified as either OUD or non-OUD. Statistical analysis included a bivariate analysis comparing differences between groups and multivariate logistic regression evaluating ORs.

Results

The 45 participants categorised as OUD had a higher proportion of documented or reported psychiatric diagnoses (p=0.049), preference of opioid treatment (p=0.005), current oxycodone prescription (p=0.043), borrowed pain medicine (p=0.004) and non-authorised dose increase (p<0.001). The state prescription monitoring database revealed the OUD group to have an increased number of opioid prescriptions (p=0.005) and pills (p=0.010). Participants who borrowed pain medicine and engaged in non-authorised dose increase were 5.2 (p=0.025, 95% CI 1.24 to 21.9) and 6.1 times (p=0.001, 95% CI 1.55 to 24.1) more likely to have OUD, respectively.

Limitations

Major limitations of our study include a small sample size, self-reported measures and convenience sample which may introduce selection bias.

Conclusion

Patients with chronic pain with OUD have distinguishable characteristics. Emergency physicians should consider such evidence-based variables prior to opioid therapy to ameliorate the opioid crisis and limit implicit bias.

Cross-cultural adaptation of the Pain Medication Questionnaire for use in Brazil

Background

The Pain Medication Questionnaire (PMQ) assesses the risk of opioid abuse in people with non-oncological chronic pain.

Methods

This is a methodological study conducted at a hemotherapy centre in Recife, Pernambuco state, Brazil. A Cross-cultural adaptation was carried out by a committee of nine specialists, and we applied the PMQ to a pre-final sample of 40 individuals with sickle cell anemia, in addition to a sociodemographic and clinical questionnaire.

Results

The mean agreement indexes for PMQ equivalences were the following: semantic (0.996), idiomatic (0.970), experiential (0.991), conceptual (0.953), language clarity (0.991), practical relevance (0.906), and theoretical relevance (0.945). Assessment of the PMQ showed that 50% of participants obtained a score equivalent to medium risk of opioid abuse. Cronbach’s alpha coefficient for the adapted PMQ instrument was 0.705, ranging from 0.641 to 0.736 among its items.

Conclusion

The cross-cultural adaptation of the Pain Medication Questionnaire was satisfactory and easy to apply in the Brazilian population. It is clinically relevant, contributing professional practice and enlightening patients with sickle cell anemia on their behavioral dynamics with respect to opioid consumption. It will also contribute to teaching and research, because it is a useful tool for investigating the risk of abusive behavior in people with chronic pain.

Electronic supplementary material

The online version of this article (10.1186/s12874-019-0821-x) contains supplementary material, which is available to authorized users.

Medical record-based ascertainment of behaviors suggestive of opioid misuse, diversion, abuse, and/or addiction among individuals showing evidence of doctor/pharmacy shopping

Objectives

Doctor/pharmacy shopping, the practice of seeking prescriptions from multiple healthcare sources without their coordination, may be a measure of prescription medicine abuse. This cross-sectional study examined the relationship between a claims-based doctor/pharmacy shopping definition and medical record documented behaviors suggestive of misuse, diversion, abuse and/or addiction.

Methods

Patients with ≥2 opioid dispensings starting in 2012 in a US administrative claims database were grouped into doctor/pharmacy shopping categories by number of providers and pharmacies used over 18 months: no shopping, minimal shopping, moderate shopping and severe shopping. Medical charts of opioid prescribers were reviewed to identify behaviors suggestive of misuse, diversion, abuse and/or addiction.

Results

Among 581,940 opioid users, 78% were classified as no shopping, 11% minimal shopping, 8% moderate shopping and 3% severe shopping. Almost 40% of severe shopping patients had no medical record documented behaviors (positive predictive value: 24.3%). Compared with no shopping, the odds ratio [OR] of ≥3 behaviors was 1.70 (95% confidence interval [CI] 0.50–5.78) for minimal shopping, 1.81 (95% CI 0.54–6.03) for moderate shopping, and 8.93 (95% CI 3.12–25.54) for severe shopping.

Conclusions

Claims-identified severe doctor/pharmacy shopping was strongly associated with behaviors suggestive of misuse, diversion, abuse and/or addiction, but the proportion of medical records documenting these was low.

Screening Tools Validated in the Outpatient Pain Management Setting Poorly Predict Opioid Misuse in the Emergency Department: A Pilot Study

BACKGROUND

Currently, no universally accepted methods exist to assess drug-related aberrant behaviors in emergency department (ED) patients. There are several screening tools to identify opioid misuse in patients with chronic pain, however, the validity of these screening tools to assess for misuse within the ED remains unclear.

OBJECTIVES

This study investigated the effectiveness of three commonly used screening tools, previously validated in outpatient pain management settings, to assess risk of opioid misuse in ED patients.

METHODS

This was a prospective observational study of 154 participants (median age 50 years; 49.6% female) presenting to an academic ED for a chief complaint of pain ≥ 6 months or an opioid refill request. Participants completed the Opioid Risk Tool, the Screener and Opioid Assessment for Patients with Pain-Revised, and the Current Opioid Misuse Measure. Scores for each were compared with electronic medical record (EMR) data alone or a reference standard comprising EMR + statewide prescription drug monitoring program (PDMP) + medical examiner database.

RESULTS

Using the combined reference standard, 55.8% of participants displayed at least one aberrant behavior. Regardless of the reference standard, the test characteristics of these screening tools were modest at best, with likelihood ratios close to 1.

CONCLUSION

Three screening tools previously validated in outpatient pain management settings poorly categorized risk among ED patients with chronic noncancer pain or requests for opioid refills, and should not be used to assess drug-aberrant behaviors in the ED. Review of the EMR alone or together with the PDMP may be more useful methods to assess drug-aberrant behaviors in the ED setting.

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.

Problematic Prescription Opioid Use in a Chronic Pain Treatment Facility: The Role of Emotional Processes

BACKGROUND

Factors associated with prescription opioid misuse in a chronic pain treatment population are limited, and increasing our understanding of associated factors could lead to improved targeting of prevention and intervention efforts.

OBJECTIVE

The aim of this study was to evaluate factors associated with problematic prescription opioid use in patients with chronic pain, and whether assessing emotional processes - alexithymia, ambivalence over emotional expression (AEQ), and emotional approach coping - improves understanding of problematic prescription opioid use beyond traditional risk factors.

METHODS

Participants were 100 patients with chronic pain (mean age = 47.57 years, SD = 11.57; 53% female; 81% African American) who were receiving a self-administered opioid medication through a local pain clinic. We assessed traditional risk factors (substance use history, pain, psychiatric distress, and pain catastrophizing), the three emotional processes, and problematic prescription opioid-related outcomes.

RESULTS

Zero-order correlations revealed that alexithymia was significantly, positively related to problematic prescription opioid use behaviors (PDUQ), and AEQ was significantly positively related to both prescription opioid misuse behaviors and opioid use disorder symptoms. Multiple regressions that included traditional risk factors and the three emotional processes indicated that AEQ was a unique correlate of problematic opioid use behaviors (β=.27, p=.04) and prescription opioid-related symptoms of abuse and dependence (β=.37, p=.01); history of substance use disorders was also associated.

CONCLUSIONS

In addition to personal history of substance use problems, AEQ is a modifiable risk factor - and thus potential treatment target - for prescription opioid misuse and opioid use disorders.

Validation of the Adult Substance Abuse Subtle Screening Inventory-4 (SASSI-4)

Abstract. The study objective was to develop a revision of the adult Substance Abuse Subtle Screening Inventory-3 to include new items to identify nonmedical use of prescription medications, as well as additional subtle and symptom-related identifiers of substance use disorders (SUDs) and to evaluate its psychometric properties and screening accuracy against a criterion of DSM-5 diagnoses for SUD. Clinical professionals throughout the nine US Census Bureau regions and two Canadian provinces who used the SASSI Online screening tool submitted 1,284 completed administrations of the provisional SASSI-4 along with their independent DSM-5 diagnoses of SUD. Validation sample findings demonstrated SASSI-4 sensitivity of 93% and specificity of 90%, AUC = .91. Items added to identify respondents who were abusing prescription medications showed 94% overall screening accuracy. Logistic regression showed no significant effects of client demographic characteristics or type of screening setting on the accuracy of SASSI-4 screening outcomes. In Study 2, 120 adults in recovery from SUD completed the SASSI-4 under instructions to fake good. Sensitivity of 79% was demonstrated for the full scoring protocol and was 47% when only face valid scales were utilized. Clinical utility is discussed.

Detecting aberrant opioid behavior in the emergency department: a prospective study using the screener and Opioid Assessment for Patients with Pain-Revised (SOAPP®-R), Current Opioid Misuse Measure (COMM)™, and provider gestalt

Emergency department (ED) providers have limited time to evaluate patients at risk for opioid misuse. A validated tool to assess the risk for aberrant opioid behavior may mitigate adverse sequelae associated with prescription opioid misuse. We sought to determine if SOAPP-R, COMM, and provider gestalt were able to identify patients at risk for prescription opioid misuse as determined by pharmacy records at 12 months. We conducted a prospective observational study of adult patients in a high volume US ED. Patients completed the SOAPP-R and COMM, and treating EM providers evaluated patients' opioid misuse risk. We performed variable-centered, person-centered, and hierarchical cluster analyses to determine whether provider gestalt, SOAPP-R, or COMM, or a combination, predicted higher misuse risk. The primary outcome was the number of opioid prescriptions at 12 months according to pharmacy records. For 169 patients (mean age 43 years, 51% female, 73% white), correlation analysis showed a strong relationship between SOAPP-R and COMM with predicting the number of opioid prescriptions dispensed at 12 months. Provider scores estimating opioid misuse were not related to SOAPP-R and only weakly associated with COMM. In our adjusted regression models, provider gestalt and SOAPP-R uniquely predicted opioid prescriptions at 6 and 12 months. Using designated cutoff scores, only SOAPP-R detected a difference in the number of opioid prescriptions. Cluster analysis revealed that provider gestalt, SOAPP-R, and COMM scores jointly predicted opioid prescriptions. Provider gestalt and self-report instruments uniquely predicted the number of opioid prescriptions in ED patients. A combination of gestalt and self-assessment scores can be used to identify at-risk patients who otherwise miss the cutoff scores for SOAPP-R and COMM.

Development and Validation of an Eight-Item Brief Form of the SOAPP-R (SOAPP-8)

Objective

Although the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) has become a widely used screener for aberrant opioid-related behavior in adults, the length of the instrument may limit its utility. The purpose of the current study was to develop a short form of the SOAPP-R by retaining as few items as possible while maximizing predictive accuracy.

Methods

Participants (N = 555), recruited from pain clinics, completed the 24-item SOAPP-R and participated in a five-month follow-up visit to evaluate aberrant drug-related behaviors. Opioid aberrant-related behavior was determined through self-report, physician report, and urine toxicology screen. The optimal subset of SOAPP-R items to predict aberrant opioid-related behavior was identified empirically by employing the LASSO selection method and the leave-one-out cross-validation (LOOCV) method offered in the GLMSELECT procedure in SAS 9.4 in conjunction with content expertise.

Results

Eight items were identified before the selection method stopped. The receiver operating characteristic curve generated from the predicted probabilities from the model produced an area under the curve (AUC) value greater than the AUC value produced by the 24-item SOAPP-R total score and yielded a sensitivity of 0.74 and a specificity of 0.66.

Conclusions

These results provide strong preliminary support for the SOAPP-8 as a brief screening tool of aberrant opioid-related behavior in chronic pain patients.

The dynamic interaction between pain and opioid misuse

In 2014, drug overdose surpassed automobile accidents as the number one cause of accidental death for the first time in the history of the United States. The overdose epidemic is largely driven by opioids, and genuine prescription opioid analgesics play the biggest role in this phenomenon. Despite advancements in abuse deterrent formulations, prescription drug monitoring programmes and clinical assessments for the detection of abuse potential, drug overdoses continue to escalate. The Center for Disease Control has recently issued new guidelines for opioid prescription, yet even these recommendations have their shortcomings. Furthermore, undertreated pain in patients with comorbid substance use disorder poses a major clinical challenge, particularly for patients on opioid replacement therapy. Despite the seemingly obvious interaction between the presence of pain and the abuse of pain-relieving opioids, there is surprisingly little mechanistic data to further our understanding of this vitally important topic. The need for novel pain interventions that minimize abuse liability is critical. Without a fundamental characterization of pain neurobiology and the interaction between chronic pain and the brain's reward system, we are unlikely to make progress in the alleviation of the opioid epidemic.

LINKED ARTICLES

This article is part of a themed section on Emerging Areas of Opioid Pharmacology. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v175.14/issuetoc.

Prediction of Future Chronic Opioid Use Among Hospitalized Patients

BACKGROUND

Opioids are commonly prescribed in the hospital; yet, little is known about which patients will progress to chronic opioid therapy (COT) following discharge. We defined COT as receipt of ≥ 90-day supply of opioids with < 30-day gap in supply over a 180-day period or receipt of ≥ 10 opioid prescriptions over 1 year. Predictive tools to identify hospitalized patients at risk for future chronic opioid use could have clinical utility to improve pain management strategies and patient education during hospitalization and discharge.

OBJECTIVE

The objective of this study was to identify a parsimonious statistical model for predicting future COT among hospitalized patients not on COT before hospitalization.

DESIGN

Retrospective analysis electronic health record (EHR) data from 2008 to 2014 using logistic regression.

PATIENTS

Hospitalized patients at an urban, safety net hospital.

MAIN MEASUREMENTS

Independent variables included medical and mental health diagnoses, substance and tobacco use disorder, chronic or acute pain, surgical intervention during hospitalization, past year receipt of opioid or non-opioid analgesics or benzodiazepines, opioid receipt at hospital discharge, milligrams of morphine equivalents prescribed per hospital day, and others.

KEY RESULTS

Model prediction performance was estimated using area under the receiver operator curve, accuracy, sensitivity, and specificity. A model with 13 covariates was chosen using stepwise logistic regression on a randomly down-sampled subset of the data. Sensitivity and specificity were optimized using the Youden's index. This model predicted correctly COT in 79% of the patients and no COT correctly in 78% of the patients.

CONCLUSIONS

Our model accessed EHR data to predict 79% of the future COT among hospitalized patients. Application of such a predictive model within the EHR could identify patients at high risk for future chronic opioid use to allow clinicians to provide early patient education about pain management strategies and, when able, to wean opioids prior to discharge while incorporating alternative therapies for pain into discharge planning.

Development of Short-Form Versions of the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R): A Proof-of-Principle Study

Background

The Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) is a 24-item questionnaire designed to assess risk of aberrant medication-related behaviors in chronic pain patients. The introduction of short forms of the SOAPP-R may save time and increase utilization by practitioners.

Objective

To develop and evaluate candidate SOAPP-R short forms.

Design

Retrospective study.

Setting

Pain centers.

Subjects

Four hundred and twenty-eight patients with chronic noncancer pain.

Methods

Subjects had previously been administered the full-length version of the SOAPP-R and been categorized as positive or negative for aberrant medication-related behaviors via the Aberrant Drug Behavior Index (ADBI). Short forms of the SOAPP-R were developed using lasso logistic regression. Sensitivity, specificity, and area under the curve (AUC) of all forms were calculated with respect to the ADBI using the complete data set, training-test analysis, and 10-fold cross-validation. The coefficient alpha of each form was also calculated. An external set of 12 pain practitioners reviewed the forms for content.

Results

In the complete data set analysis, a form of 12 items exhibited sensitivity, specificity, and AUC greater than or equal to those of the full-length SOAPP-R (which were 0.74, 0.67, and 0.76, respectively). The short form had a coefficient alpha of 0.76. In the training-test analysis and 10-fold cross-validation, it exhibited an AUC value within 0.01 of that of the full-length SOAPP-R. The majority of external practitioners reported a preference for this short form.

Conclusions

The 12-item version of the SOAPP-R has potential as a short risk screener and should be tested prospectively.

Automatable algorithms to identify nonmedical opioid use using electronic data: a systematic review

Objective

Improved methods to identify nonmedical opioid use can help direct health care resources to individuals who need them. Automated algorithms that use large databases of electronic health care claims or records for surveillance are a potential means to achieve this goal. In this systematic review, we reviewed the utility, attempts at validation, and application of such algorithms to detect nonmedical opioid use.

Materials and Methods

We searched PubMed and Embase for articles describing automatable algorithms that used electronic health care claims or records to identify patients or prescribers with likely nonmedical opioid use. We assessed algorithm development, validation, and performance characteristics and the settings where they were applied. Study variability precluded a meta-analysis.

Results

Of 15 included algorithms, 10 targeted patients, 2 targeted providers, 2 targeted both, and 1 identified medications with high abuse potential. Most patient-focused algorithms (67%) used prescription drug claims and/or medical claims, with diagnosis codes of substance abuse and/or dependence as the reference standard. Eleven algorithms were developed via regression modeling. Four used natural language processing, data mining, audit analysis, or factor analysis.

Discussion

Automated algorithms can facilitate population-level surveillance. However, there is no true gold standard for determining nonmedical opioid use. Users must recognize the implications of identifying false positives and, conversely, false negatives. Few algorithms have been applied in real-world settings.

Conclusion

Automated algorithms may facilitate identification of patients and/or providers most likely to need more intensive screening and/or intervention for nonmedical opioid use. Additional implementation research in real-world settings would clarify their utility.

Evaluation and comparison of tools for diagnosing problematic prescription opioid use among chronic pain patients

Prescription opioid medications are commonly used for the treatment of chronic pain. Assessments of problematic opioid use among pain patients are inconsistent across studies, partially due to differences between various measures. Therefore, the most appropriate measure to use is often unclear. In this study we assessed problematic opioid use in a sample of 551 individuals receiving treatment for chronic pain, using three questionnaires: the Alcohol Use Disorder and Associated Disabilities Interview Schedule - Fourth Edition (AUDADIS-IV), the Current Opioid Misuse Measure (COMM) questionnaire and Portenoy's criteria (PC). These questionnaires yielded discordant positive rates of problematic use: 52.6%, 28.7%, and 17.1%, respectively, which did not change substantially when excluding AUDADIS-IV criteria of physical symptoms of tolerance and withdrawal. Although these three questionnaires share some statistically correlated content-based congruent questions, positive response rates to them were significantly different based on construction features, including questionnaires' referred time-frame, wording of questions and response alternatives. The findings of the present study illustrate strengths and limitations of the AUDADIS-IV, COMM and PC in diagnosing problematic opioid use in a population of adults suffering from chronic pain, and highlight the importance of recognizing and addressing specific questionnaire and question-related differences when identifying problematic opioid use in this population.

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.

Measures That Identify Prescription Medication Misuse, Abuse, and Related Events in Clinical Trials: ACTTION Critique and Recommended Considerations

Accurate assessment of inappropriate medication use events (ie, misuse, abuse, and related events) occurring in clinical trials is an important component in evaluating a medication's abuse potential. A meeting was convened to review all instruments measuring such events in clinical trials according to previously published standardized terminology and definitions. Only 2 approaches have been reported that are specifically designed to identify and classify misuse, abuse, and related events occurring in clinical trials, rather than to measure an individual's risk of using a medication inappropriately: the Self-Reported Misuse, Abuse, and Diversion (SR-MAD) instrument and the Misuse, Abuse, and Diversion Drug Event Reporting System (MADDERS). The conceptual basis, strengths, and limitations of these methods are discussed. To our knowledge, MADDERS is the only system available to comprehensively evaluate inappropriate medication use events prospectively to determine the underlying intent. MADDERS can also be applied retrospectively to completed trial data. SR-MAD can be used prospectively; additional development may be required to standardize its implementation and fully appraise the intent of inappropriate use events. Additional research is needed to further demonstrate the validity and utility of MADDERS as well as SR-MAD.

PERSPECTIVE

Identifying a medication's abuse potential requires assessing inappropriate medication use events in clinical trials on the basis of a standardized event classification system. The strengths and limitations of the 2 published methods designed to evaluate inappropriate medication use events are reviewed, with recommended considerations for further development and current implementation.

Chronic Pain Management with Opioids in Patients with Past or Current Substance Abuse Problems

Among patients who present to medical providers with chronic pain complaints, there is an elevated prevalence of illicit substance use and prescription misuse. For those with legitimate pain, this predicament potentiates the risk of being medically underserved or undertreated. Complicating factors include a lack of specificity and sensitivity to the issue of defining substance abuse or misuse in the health care setting. Irrespective of whether patients have histories of addiction, problematic behavior manifests during the course of chronic pain therapy, making a conceptualization of the nature and function of this behavior difficult. The objective of this article is to highlight known confounds in the assessment of “normal” pain-related vs. substance abuse behavior. Our aim is to offer important points to consider, a set of systematic guidelines to follow, and an armamentarium of essential tools to facilitate contingency management planning in the context of treating chronic pain with controlled substances.

Need for Analgesics/drugs of Abuse: A Comparison Between Headache Patients and Addicts by the Leeds Dependence Questionnaire (LDQ)

Our aim was to compare the need for analgesics/drugs of abuse between headache patients—chronic and episodic headache sufferers—and addicts, by the Leeds Dependence Questionnaire (LDQ). This is a self-completion 10-item instrument to measure dependence upon a variety of substances. We administered the LDQ questionnaire to 122 chronic daily headache (CDH) sufferers who had been taking one dose of analgesic drug every day for at least 1 year; 71 subjects suffering from episodic headache (EH) using analgesics only occasionally; 115 consecutive drug addicts (DA) with a diagnosis of substance dependence. The mean LDQ total score was similar in the CDH (11.58 ± 6.35) and DA (10.37 ± 6.51) groups, and for both it was significantly higher than the score in the EH (5.61 ± 3.00) group ( P < 0.001). The CDH group had the highest scores, and higher scores than the DA group (Z = −8.18, P < 0.001) in item 8, assessing the primacy of effect over the kind of analgesic used, and in item 10 (Z = −5.03, P < 0.001), asking if it is difficult to live without the analgesic; the DA group had the highest scores, and higher scores than the CDH group, in item 9 (Z = −5.07, P < 0.001) addressing the need for the continued administration of the drug to maintain well-being, and in item 3 (Z =−2.39, P < 0.05), exploring compulsion to start the use of the drug. The EH group had lower scores in all items ( P < 0.05) except for item 9, where there was no difference from CDH group; the EH group had also lower scores ( P < 0.001) than the DA group, except for item 8, where, instead, the score was higher than in the DA group (Z = −5.33, P < 0.001). A strong link develops between chronic headache patients and the analgesics they use. This sort of ‘dependence’ appears to be a consequence of headache, originating from the necessity for the analgesic to cope with everyday life.

Who Benefits from Chronic Opioid Therapy? Rethinking the Question of Opioid Misuse Risk

Beginning in the late 1990s, a movement began within the pain management field focused upon the underutilization of opioids, thought to be a potentially safe and effective class of pain medication. Concern for addiction and misuse were present at the start of this shift within pain medicine, and an emphasis was placed on developing reliable and valid methods and measures of identifying those at risk for opioid misuse. Since that time, the evidence for the safety and effectiveness of chronic opioid therapy (COT) has not been established. Rather, the harmful, dose-dependent deleterious effects have become clearer, including addiction, increased risk of injuries, respiratory depression, opioid induced hyperalgesia, and death. Still, many individuals on low doses of opioids for long periods of time appear to have good pain control and retain social and occupational functioning. Therefore, we propose that the question, “Who is at risk of opioid misuse?” should evolve to, “Who may benefit from COT?” in light of the current evidence.

Day-to-day pain symptoms are only weakly associated with opioid craving among patients with chronic pain prescribed opioid therapy

BACKGROUND

Over the past decade, there has been a substantial rise in the use of opioids for the treatment of chronic noncancer pain. Despite the potential benefits of opioid therapy, the rise in the use of opioids has been accompanied by escalating rates of prescription opioid misuse and addiction. There is now a growing body of evidence indicating that opioid craving (i.e., the subjective desire to consume opioids) is one of the strongest determinants of opioid misuse among patients with chronic pain prescribed opioids. Although research has elucidated some of the factors associated with opioid craving, the contribution of patients' levels of pain to opioid craving remains unclear.

OBJECTIVE

The main objective of this study was to examine the day-to-day association between pain and opioid craving.

METHODS

In this longitudinal cohort study, patients with chronic pain prescribed opioid therapy completed baseline measures and were then asked to provide daily reports of pain intensity and opioid craving for a period of 14 days.

RESULTS

Multilevel analyses indicated that day-to-day elevations in patients' levels of pain were associated with heightened opioid craving. That is, on more painful days, patients reported higher levels of craving. Within-person changes in pain intensity, however, explained less than 5% of the variance in patients' reports of craving.

CONCLUSION

Findings from this study suggest that patients with chronic pain do not crave their opioid medications simply because they experience high levels of pain. The theoretical and clinical implications of our findings are discussed.

Safety concerns with long-term opioid use

INTRODUCTION

The benefits of opioid therapy must be balanced by any adverse effects. In recent years, prescription opioids have been increasingly prescribed, but have also been associated with increased abuse, overdose and death.

AREAS COVERED

This review will categorize the common risks of opioid administration. Recognized adverse effects of opioid therapy include constipation, tolerance, endocrinopathies, sleep disorders, cognitive effects, respiratory depression, overdose and addiction. Studies have shown that there is increased risk of overdose and death with higher daily opioid doses, particularly above a morphine equivalent oral daily dose of 100 milligrams. Extended-release/long acting (ER/LA) opioid formulations may be beneficial for the compliant patient, yet may expose a higher risk for abuse if used inappropriately since each tablet carries a larger dose of medication.

EXPERT OPINION

Prospective, controlled one-year trials are needed to establish the efficacy and safety profile of chronic opioid therapy. In addition to the well known side effects of chronic opioid therapy, the influence and serious effect of opioids on sleep and central sleep apnea is only recently being investigated. The lowest possible daily opioid must be used to manage chronic pain, and all clinicians should be cautious in the use of daily morphine equivalent doses above 50-100 milligrams.

Pain Assessment--Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis

Background: Mobile and web technologies are becoming increasingly used to support the treatment of chronic pain conditions. However, the subjectivity of pain perception makes its management and evaluation very difficult. Pain treatment requires a multi-dimensional approach (e.g., sensory, affective, cognitive) whence the evidence of technology effects across dimensions is lacking. This study aims to describe computerised monitoring systems and to suggest a methodology, based on statistical analysis, to evaluate their effects on pain assessment. Methods: We conducted a review of the English-language literature about computerised systems related to chronic pain complaints that included data collected via mobile devices or Internet, published since 2000 in three relevant bibliographical databases such as BioMed Central, PubMed Central and ScienceDirect. The extracted data include: objective and duration of the study, age and condition of the participants, and type of collected information (e.g., questionnaires, scales). Results: Sixty-two studies were included, encompassing 13,338 participants. A total of 50 (81%) studies related to mobile systems, and 12 (19%) related to web-based systems. Technology and pen-and-paper approaches presented equivalent outcomes related with pain intensity. Conclusions: The adoption of technology was revealed as accurate and feasible as pen-and-paper methods. The proposed assessment model based on data fusion combined with a qualitative assessment method was revealed to be suitable. Data integration raises several concerns and challenges to the design, development and application of monitoring systems applied to pain.

Development of a brief tool for monitoring aberrant behaviours among patients receiving long-term opioid therapy: The Opioid-Related Behaviours In Treatment (ORBIT) scale

BACKGROUND

Early identification of problems is essential in minimising the unintended consequences of opioid therapy. This study aimed to develop a brief scale that identifies and quantifies recent aberrant behaviour among diverse patient populations receiving long-term opioid treatment.

METHOD

40 scale items were generated via literature review and expert panel (N=19) and tested in surveys of: (i) N=41 key experts, and (ii) N=426 patients prescribed opioids >3 months (222 pain patients and 204 opioid substitution therapy (OST) patients). We employed item and scale psychometrics (exploratory factor analyses, confirmatory factor analyses and item-response theory statistics) to refine items to a brief scale.

RESULTS

Following removal of problematic items (poor retest-reliability or wording, semantic redundancy, differential item functioning, collinearity or rarity) iterative factor analytic procedures identified a 10-item unifactorial scale with good model fit in the total sample (N=426; CFI=0.981, TLI=0.975, RMSEA=0.057), and among pain (CFI=0.969, TLI=0.960, RMSEA=0.062) and OST subgroups (CFI=0.989, TFI=0.986, RMSEA=0.051). The 10 items provided good discrimination between groups, demonstrated acceptable test-retest reliability (ICC 0.80, 95% CI 0.60-0.89; Cronbach's alpha=0.89), were moderately correlated with related constructs, including opioid dependence (SDS), depression and stress (DASS subscales) and Social Relationships and Environment domains of the WHO-QoL, and had strong face validity among advising clinicians.

CONCLUSIONS

The Opioid-Related Behaviours In Treatment (ORBIT) scale is brief, reliable and validated for use in diverse patient groups receiving opioids. The ORBIT has potential applications as a checklist to prompt clinical discussions and as a tool to quantify aberrant behaviour and assess change over time.

Primary care experiences of people who live with chronic pain and receive opioids to manage pain: A qualitative methodology

BACKGROUND AND PURPOSE

The prevalence of chronic pain continues to rise and the majority of patients with chronic pain are managed in primary care. The purpose of this research was to provide the perspectives of patients who live with chronic pain and receive opioids to help manage their pain from primary care.

METHODS

In this qualitative study, 12 participants from a Midwest primary care clinic described their primary care experiences with receiving opioids for chronic pain. Thematic and interpretive analyses were used to understand the issues.

CONCLUSIONS

Participants receiving opioids for pain management through primary care feared losing access to opioids, wanted to protect sobriety when they had histories of substance use disorder, experienced stress at their jobs with frequent appointments, identified inconsistencies in health care prolonging their suffering and increasing substance misuse, and identified improvement in coping with pain when they had confidence in healthcare providers.

IMPLICATIONS FOR PRACTICE

Providing patient-centered care while managing patients with pain and unknown risk for prescription opioid misuse is possible. Understanding influences that create prescription opioid risk for misuse can help nurse practitioners improve their delivery of care by providing consistent and convenient healthcare encounters, and help patients protect themselves from risk of prescription opioid misuse.

Biopsychosocial Approach to Assessing and Managing Patients with Chronic Pain

Chronic pain affects nearly one-third of the American population. Chronic pain can lead to a variety of problems for a pain sufferer, including developing secondary medical problems, depression, functional and vocational disability, opioid abuse and suicide. Current pain care models are deficient in providing a necessary comprehensive approach. Most patients with chronic pain are managed by primary care clinicians who are typically ill prepared to effectively and efficiently manage these cases. A biopsychosocial approach to evaluate and treat chronic pain is clinically and economically efficacious, but unique delivery systems are required to meet the challenge of access to specialty care.

Translation and validation of the Chinese version of the Current Opioid Misuse Measure (COMM) for patients with chronic pain in Mainland China

Background

Management of prescription opioids misuse and abuse problems among chronic pain patients has been increasingly important worldwide and little literature concerning prescription opioids can be found in mainland China so far.

Methods

The Current Opioid Misuse Measure (COMM) was translated into Chinese following Brislin’s model of cross-culture translation and was completed by a convenience sample of 180 patients with chronic pain recruited from two major hospitals in Jinan, Shandong province. Data were analyzed using internal consistency, test-retest reliability, exploratory factor analysis and confirmatory factor analysis.

Results

The internal consistency coefficient for the total score of the COMM was 0.85 and item-total correlations of all items were above 0.20. Besides, the test-retest reliability was satisfactory with an ICC of 0.91 (95 % CI = 0.65-0.98). Four principal components were extracted, accounting for 65.30 % of the variance, and the factor loadings of all 17 items were above 0.40.

Conclusions

The Chinese version of COMM showed satisfactory reliability and validity, and could be used as a screening tool to evaluate and monitor current aberrant drug-related behavior among Chinese patients with chronic pain.

Shortening the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R): A Proof-of-Principle Study for Customized Computer-Based Testing

BACKGROUND

The Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) is a 24-item self-report instrument that was developed to aid providers in predicting aberrant medication-related behaviors among chronic pain patients. Although the SOAPP-R has garnered widespread use, certain patients may be dissuaded from taking it because of its length. Administrative barriers associated with lengthy questionnaires further limit its utility.

OBJECTIVE

To investigate the extent to which two techniques for computer-based administration (curtailment and stochastic curtailment) reduce the average test length of the SOAPP-R without unduly affecting sensitivity and specificity.

DESIGN

Retrospective study.

SETTING

Pain management centers.

SUBJECTS

Four hundred and twenty-eight chronic non-cancer pain patients.

METHODS

Subjects had taken the full-length SOAPP-R and been classified by the Aberrant Drug Behavior Index (ADBI) as having engaged or not engaged in aberrant medication-related behavior. Curtailment and stochastic curtailment were applied to the data in post-hoc simulation. Sensitivity and specificity with respect to the ADBI, as well as average test length, were computed for the full-length test, curtailment, and stochastic curtailment.

RESULTS

The full-length SOAPP-R exhibited a sensitivity of 0.745 and a specificity of 0.671 for predicting the ADBI. Curtailment reduced the average test length by 26% while exhibiting the same sensitivity and specificity as the full-length test. Stochastic curtailment reduced the average test length by as much as 65% while always exhibiting sensitivity and specificity for the ADBI within 0.035 of those of the full-length test.

CONCLUSIONS

Curtailment and stochastic curtailment have potential to improve the SOAPP-R's efficiency in computer-based administrations.

Prescription Drug Misuse in Late Adulthood

Prescription drug misuse is a public health problem, and older adults are at high risk. The underlying factors associated with this problem in late adulthood are not well understood. Using cross-sectional data from telephone interviews with individuals aged 60 years and older in Arizona and Florida ( N = 2,000), this study tests whether hypotheses derived from general strain and low self-control theories are supported while investigating misusing prescription medication. Results from the regression analyses reveal that the association between poor health (conceptualized as a strain) and misusing prescription drugs (conceptualized as criminal coping) is partially explained by depressive symptoms (conceptualized as negative emotionality). The link between problem drinking and prescription drug misuse is fully attenuated when low self-control is included in the model. The results confirm that both theories provide insight into this public health problem and that treatment strategies should target the underlying mechanisms that lead to misuse.

What do patients do with unused opioid medications?

OBJECTIVES

The volume of opioid medications being prescribed in the United States is increasing rapidly. Problems associated with the misuse of opioid medications are also increasing, in part because of medication diversion from legitimate prescriptions. However, little is known about what patients do with any unused opioid medications. This paper uses a qualitative analysis of patients' self-report of medication storage and retention habits to begin to address this gap.

METHODS

We analyzed responses to the Prescription Drug Use Questionnaire in conjunction with other data on prescription opioid use in a sample of 191 Veteran patients (83% of whom had a preexisting factor associated with higher rates of opioid misuse) who received one or more opioid prescriptions in the previous 12 months.

RESULTS

Only 6.3% of participants disposed of extra medications and 24.1% reported having no extra opioids. A total of 65.4% of participants reported retaining some or all opioids even if they ceased taking the medication, and some participants accumulated large amounts of medication. A total of 34.0% of participants described engaging in sharing or diversion of opioids at least once, most often receiving them from a family member or a friend.

DISCUSSION

A majority of patients retain unused opioids, and medication sharing is common. Interventions to improve monitoring of patient experience with opioid medication, educate patients about the dangers of opioid use by nonprescribed others, and increase information about medication disposal options could decrease the supply of opioid medications available for misuse.

Instruments to Identify Prescription Medication Misuse, Abuse, and Related Events in Clinical Trials: An ACTTION Systematic Review

Measurement of inappropriate medication use events (eg, abuse or misuse) in clinical trials is important in characterizing a medication's abuse potential. However, no gold standard assessment of inappropriate use events in clinical trials has been identified. In this systematic review, we examine the measurement properties (ie, content validity, cross-sectional reliability and construct validity, longitudinal construct validity, ability to detect change, and responder definitions) of instruments assessing inappropriate use of opioid and nonopioid prescription medications to identify any that meet U.S. and European regulatory agencies' rigorous standards for outcome measures in clinical trials. Sixteen published instruments were identified, most of which were not designed for the selected concept of interest and context of use. For this reason, many instruments were found to lack adequate content validity (or documentation of content validity) to evaluate current inappropriate medication use events; for example, evaluating inappropriate use across the life span rather than current use, including items that did not directly assess inappropriate use (eg, questions about anger), or failing to capture information pertinent to inappropriate use events (eg, intention and route of administration). In addition, the psychometric data across all instruments were generally limited in scope. A further limitation is the heterogeneous, nonstandardized use of inappropriate medication use terminology. These observations suggest that available instruments are not well suited for assessing current inappropriate medication use within the specific context of clinical trials. Further effort is needed to develop reliable and valid instruments to measure current inappropriate medication use events in clinical trials.

PERSPECTIVE

This systematic review evaluates the measurement properties of inappropriate medication use (eg, abuse or misuse) instruments to determine whether any meet regulatory standards for clinical trial outcome measures to assess abuse potential.

Validation of a brief Opioid Compliance Checklist for patients with chronic pain

There has been a need for a brief assessment tool to determine compliance with use of prescribed opioids for pain. The purpose of this study was to develop and begin the validation of a brief and simple compliance checklist (Opioid Compliance Checklist [OCC]) for chronic pain patients prescribed long-term opioid therapy. A review of the literature of opioid therapy agreements led to a 12-item OCC that was repeatedly administered to 157 patients who were taking opioids for chronic pain and followed for 6 months. Validation of the OCC was conducted by identifying those patients exhibiting aberrant drug-related behavior as determined by any of the following: positive urine toxicology screen, a positive score on the Prescription Drug Use Questionnaire interview or Current Opioid Misuse Measure, and/or ratings by staff on the Addiction Behavior Checklist. Of the original 12 items, 5 OCC items appeared to best predict subsequent aberrant behaviors based on multivariate logistic regression analyses (cross-validated area under the receiver operating characteristic curve = .67). Although further testing is needed, these results suggest that the OCC is an easy-to-use, promising measure in monitoring opioid adherence among persons with chronic pain.

PERSPECTIVE

This study presents validation of a brief 5-item compliance checklist for use with chronic pain patients prescribed long-term opioid therapy. This measure asks patients about aberrant drug-related behavior over the past month, and any positive response indicates problems with adherence with opioids. Further cross-validation testing is needed.

Risk assessment of opioid misuse in italian patients with chronic noncancer pain

Objective. Opioid therapy in patients with chronic noncancer pain must be preceded by evaluation of the risk of opioid misuse. The aim of this study was to evaluate the predictive validity of the Italian translation of the Pain Medication Questionnaire (PMQ) and of the Diagnosis Intractability Risk and Efficacy Score (DIRE) in chronic pain patients. Design. 75 chronic noncancer pain patients treated with opioids were enrolled and followed longitudinally. Risk of opioid misuse was evaluated through PMQ, DIRE, and the physician's clinical evaluation. Pain experience and psychological characteristics were assessed through specific self-report instruments. At follow-ups, pain intensity, aberrant drug behaviors, and presence of the prescribed opioid and of illegal substances in urine were also checked. Results. PMQ demonstrated good internal consistency (Cronbach's α = 0.77) and test-retest reliability (r = 0.86). Significant correlations were found between higher PMQ scores and the number of aberrant drug behaviors detected at 2-, 4-, and 6-month follow-ups (P < 0.01). Also the DIRE demonstrated good predictive validity. Conclusions. The results obtained with specific tools are more reliable than the clinician's evaluation alone in predicting the risk of opioid misuse; regular monitoring and psychological intervention will contribute to improving compliance and outcome of long-term opioid use.

American Society for Pain Management nursing position statement: pain management in patients with substance use disorders

The American Society for Pain Management Nursing (ASPMN) has updated its position statement on managing pain in patients with substance use disorders. This position statement is endorsed by the International Nurses Society on Addictions (IntNSA) and includes clinical practice recommendations based on current evidence. It is the position of ASPMN and IntNSA that every patient with pain, including those with substance use disorders, has the right to be treated with dignity, respect, and high-quality pain assessment and management. Failure to identify and treat the concurrent conditions of pain and substance use disorders will compromise the ability to treat either condition effectively. Barriers to caring for these patients include stigmatization, misconceptions, and limited access to providers skilled in these two categories of disorders. Topics addressed in this position statement include the scope of substance use and related disorders, conceptual models of addiction, ethical considerations, addiction risk stratification, and clinical recommendations.