Evidence map›Paper›PMID 18508231›Full record

Trial reportJournal of pain and symptom management2008

Introduction of a self-report version of the Prescription Drug Use Questionnaire and relationship to medication agreement noncompliance.

Peggy A Compton, Stephen M Wu, Beatrix Schieffer, Quynh Pham, Bruce D Naliboff

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Journal of pain and symptom management, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02420561 (Motivational Interviewing to Reduce Substance Use Among Depression Patients), which is not on this map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02420561 nacompletednot on this mapstarted 2010, after this paper: background citation

Motivational Interviewing to Reduce Substance Use Among Depression Patients

TypeinterventionalSponsorUniversity of California, San FranciscoRan2010 to 2014Enrolled307ConditionsDepression, Substance-Related DisordersArmsMotivational Interviewing, Control (brochure)
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Automatable algorithms to identify nonmedical opioid use using electronic data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Algorithms to Identify Nonmedical Opioid Use.Current pain and headache reports · 2023
    Review
  12. Review
  13. Review
  14. Article
  15. A Scoping Review of Nursing's Contribution to the Management of Patients with Pain and Opioid Misuse.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Peggy A ComptonAcute Care Section, School of Nursing at UCLA, Los Angeles, California 90095-6918, USA. pcompton@sonnet.ucla.edu
Stephen M Wu
Beatrix Schieffer
Quynh Pham
Bruce D Naliboff

Funding

Hyperalgesia in Methadone Patients: Can it be Treated?R01DA015463 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COMPTON, MARGARET A · 2002 to 2007
$2.5M
NIDA NIH HHS R01 DA015463
6 · The paper itself

Abstract

The Prescription Drug Use Questionnaire (PDUQ) is one of several published tools developed to help clinicians better identify the presence of opioid abuse or dependence in patients with chronic pain. This paper introduces a patient version of the PDUQ (PDUQp), a 31-item questionnaire derived from the items of the original tool designed for self-administration, and describes evidence for its validity and reliability in a sample of patients with chronic nonmalignant pain and on opioid therapy. Further, this study examines instances of discontinuation from opioid medication treatment related to violation of the medication agreement in this population, and the relationship of these with problematic opioid misuse behaviors, PDUQ and PDUQp scores. A sample of 135 consecutive patients with chronic nonmalignant pain was recruited from a multidisciplinary Veterans Affairs chronic pain clinic, and prospectively followed over one year of opioid therapy. Using the PDUQ as a criterion measure, moderate to good concurrent and predictive validity data for the PDUQp are presented, as well as item-by-item comparison of the two formats. Reliability data indicate moderate test stability over time. Of those patients whose opioid treatment was discontinued due to medication agreement violation-related discontinuation (MAVRD) (n=38 or 28% of sample), 40% of these (n=11) were due to specific problematic opioid misuse behaviors. Based upon specificity and sensitivity analyses, a suggested cutoff PDUQp score for predicting MAVRD is provided. This study supports the PDUQp as a useful tool for assessing and predicting problematic opioid medication use in a chronic pain patient sample.

Indexed as

Drug MonitoringSurveys and QuestionnairesAdultAgedAnalgesics, OpioidChronic DiseaseComorbidityFemaleHumansIncidenceMaleMiddle AgedOpioid-Related DisordersPainPrescription DrugsUnited StatesAnalgesics, OpioidPrescription Drugs

Identifiers

PMID18508231
PMCPMC2630195

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.