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Clin J Pain. 2016 Feb;32(2):95-102. doi: 10.1097/AJP.0000000000000248.

Accuracy of Self-reported Prescribed Analgesic Medication Use: Linkage Between the Quebec Pain Registry and the Quebec Administrative Prescription Claims Databases.

Author information

1
*Département des sciences de la santé, Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda †Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM) ‡The Alan Edward Pain Management Unit, McGill University Health Centre #Clinique de la douleur, Centre hospitalier de l'Université de Montréal (CHUM) **Département d'anesthésiologie, Faculté de médecine, Université de Montréal §Ecole des sciences infirmières, Faculté de médecine et des sciences de la santé, Université de Sherbrooke ∥Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CRCHUS) ††Clinique de la douleur, Centre hospitalier universitaire de Sherbrooke (CHUS), Sherbrooke ¶StatSciences Inc., Notre-Dame-de-l'Île-Perrot, QC, Canada.

Abstract

OBJECTIVES:

The validity of studies conducted with patient registries depends on the accuracy of the self-reported clinical data. As of now, studies about the validity of self-reported use of analgesics among chronic pain (CP) populations are scarce. The objective of this study was to assess the accuracy of self-reported prescribed analgesic medication use. This was attained by comparing the data collected in the Quebec Pain Registry (QPR) database to those contained in the Quebec administrative prescription claims database (Régie de l'assurance maladie du Québec [RAMQ]).

METHODS:

To achieve the linkage between the QPR and the RAMQ databases, the first 1285 patients who were consecutively enrolled in the QPR between October 31, 2008 and January 27, 2010 were contacted by mail and invited to participate in a study in which they had to provide their unique RAMQ health insurance number. Using RAMQ prescription claims as the reference standard, κ coefficients, sensitivity, specificity, and their respective 95% confidence intervals were calculated for each therapeutic class of prescribed analgesic drugs that the participants reported taking currently and in the past 12 months.

RESULTS:

A total of 569 QPR patients responded to the postal mailing, provided their unique health insurance number, and gave informed consent for the linkage (response proportion=44%). Complete RAMQ prescription claims over the 12 months before patient enrollment into the QPR were available for 272 patients, who constituted our validated study population. Regarding current self-reported prescribed analgesic use, κ coefficients measuring agreement between the 2 sources of information ranged from 0.66 to 0.78 for COX-2-selective nonsteroidal anti-inflammatory drugs, anticonvulsants, antidepressants, skeletal muscle relaxants, synthetic cannabinoids, opiate agonists/partial agonists/antagonists, and antimigraine agents therapeutic classes. For the past 12-month self-reported prescribed analgesic use, QPR patients were less accurate regarding anticonvulsants (κ=0.59), opiate agonists/partial agonists/antagonists (κ=0.57), and antimigraine agents use (κ=0.39).

DISCUSSION:

Information about current prescribed analgesic medication use as reported by CP patients was accurate for the main therapeutic drug classes used in CP management. Accuracy of the past year self-reported prescribed analgesic use was somewhat lower but only for certain classes of medication, the concordance being good on all the others.

PMID:
25924096
DOI:
10.1097/AJP.0000000000000248
[Indexed for MEDLINE]

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