| Literature DB >> 29206984 |
Charles E Argoff1, Daniel P Alford2, Jeffrey Fudin3, Jeremy A Adler4, Matthew J Bair5, Richard C Dart6, Roy Gandolfi7, Bill H McCarberg8, Steven P Stanos9, Jeffrey A Gudin10, Rosemary C Polomano11, Lynn R Webster12.
Abstract
Objective: To develop consensus recommendations on urine drug monitoring (UDM) in patients with chronic pain who are prescribed opioids.Entities:
Keywords: Chronic Pain; Opioids; Pain Management; Screening Tools; Substance Use Disorders; Urine Drug Monitoring
Mesh:
Substances:
Year: 2018 PMID: 29206984 PMCID: PMC6516588 DOI: 10.1093/pm/pnx285
Source DB: PubMed Journal: Pain Med ISSN: 1526-2375 Impact factor: 3.750
Figure 1Agents that may interfere (false positive unless otherwise specified) with urine drug monitoring results for various classes of immunoassays [33–40]. NSAID = nonsteroidal anti-inflammatory drug.
Selected CPT and HCPCS G codes for UDM [44, 50]
| Test Type | Description | AMA CPT Code | CMS HCPCS G Code |
|---|---|---|---|
| Presumptive | |||
| Read by direct optical observation only | 80305 | G0477 | |
| Instrument-assisted direct optical observation | 80306 | G0478 | |
| Performed by instrument chemistry analyzers | 80307 | G0479 | |
| Definitive | |||
| 1–7 drug classes | Individual CPT codes for each drug | G0480 | |
| 8–14 drug classes | G0481 | ||
| 15–21 drug classes | G0482 | ||
| ≥22 drug classes | G0483 | ||
AMA = American Medical Association; CMS = Centers for Medicare and Medicaid Services; CPT = Current Procedural Terminology; HCPCS = Healthcare Common Procedure Coding System; UDM = urine drug monitoring.
Summary of tools to assess risks with opioids
| Tool | Number of Guidelines Mentioning | Description | Time to Complete | Validation | Summary of Diagnostic Accuracy | Additional Notes |
|---|---|---|---|---|---|---|
| Opioid Risk Tool (ORT) | 5 | 10-item patient self-report tool [ | 1 min [ | Yes [ | With a cutoff score of > 4 or unspecified, sensitivity from 20% to 99%
and specificity from 16% to 88% were reported for detecting risk of opioid
overdose, addiction, abuse, or misuse (5 studies) [ | – |
| Screener and Opioid Assessment for Patients with Pain–Revised (SOAPP-R) | 5 | 24-item patient self-report tool [ | <10 min [ | Yes [ | With a cutoff score of > 3 or unspecified, sensitivity was from 25% to
53% and specificity was from 62% to 73% for detecting risk of opioid overdose,
addiction, abuse, or misuse for likelihood ratios close to 1 (2 studies)
[ | • Designed to prevent patient deception [ |
| Current Opioid Misuse Measure (COMM) | 4 | 17-item patient self-report tool to identify patients receiving long-term
opioid therapy who are exhibiting aberrant behaviors [ | <10 min [ | Yes [ | With a cutoff score of ≥ 10, sensitivity was 74% and specificity was 73%,
and with a cutoff score of ≥ 9, sensitivity was 77% and specificity was 66%
for the detection of aberrant drug-related behavior (1 study) [ | Requires licensing agreement [ |
| Diagnosis, Intractability, Risk, Efficacy (DIRE) | 3 | 7-item clinician interview to predict efficacy of analgesia and patient
adherence with long-term opioid treatment [ | <2 min [ | Yes [ | At a cutoff point of 13, sensitivity was 94% and specificity was 87% for
poor vs good/fair adherence (1 study) [ | – |
| Pain Assessment and Documentation Tool (PADT) | 2 | Clinician-directed interview with 4 domains to document potentially aberrant
drug-related behavior during treatment of pain [ | <10 min [ | Yes [ | No studies identified | Addresses abuse risk in only a small component of the tool [ |
| Cut down/Annoyed/Guilty/Eye-Opener Adapted to Include Drugs (CAGE-AID) | 1 | 4-question patient self-report, parent-report, or clinician-report tool to
screen for substance use disorders [ | <5 min [ | Yes [ | A cutoff of 2 led to sensitivity of 91% and specificity of 98% in
adolescents; a cutoff of 1 led to sensitivity of 88% and specificity of 55% in
adults [ | – |
| Addiction Behaviors Checklist (ABC) | 1 | 20-item clinician-administered tool to track behaviors characteristic of
addiction to opioids in patients with chronic pain [ | Described as “brief” [ | Yes [ | At a cutoff of ≥ 3 (using ABC data from initial visit only), sensitivity was
87.50% and specificity was 86.14% (1 study) [ | – |
| Single-Item Form of the Coping Strategies Question-naire | 0 | 1 question (“It’s terrible and I feel it is never going to get better”) to
predict opioid misuse risk [ | Very brief; only 1 question [ | Yes [ | Is highly predictive vs SOAPP-R (1 study) [ | Study published as an abstract |
| Risk Index for Overdose or Serious Opioid-Induced Respiratory Depression (RIOSORD) | 0 | 17-item [ | Not specified | Yes (17-item version in a Veterans Health Administration population [ | Excellent agreement between predicted and observed incidences across risk
classes; 85% (17-item) to 90% accuracy (16-item) in discriminating between
patients with and without an event [ | – |
| Single-item screening question for current drug use | 0 | 1 question (“How many times in the past year have you used an illegal drug
or used a prescription medication for nonmedical reasons?”) to assess current
drug use [ | Very brief; only 1 question [ | Yes [ | Sensitivity for substance use disorders, self-reported current drug use, and
drug use detected by oral fluid testing or self-report: 100%, 92.9%, and
84.7%, respectively; specificity for these measures: 73.5%, 94.1%, and 96.2%,
respectively [ | – |
Figure 3Explanations for risk factors of opioid misuse and opioid use disorder [19,97,102–107].
Figure 2Consensus recommendations. PDMP = prescription drug monitoring program; UDM = urine drug monitoring.