Chronic Pain Prescription Refills Linked to Sex, Gender, and Sociodemographic Factors

A cohort study of 561 individuals with chronic pain links self-reported data to prescription claims. The dataset, authored by Marimée Godbout-Parent and published in 2026, analyzes repeated refills of antidepressants, anticonvulsants, opioids, and NSAIDs over one year following a questionnaire.

Use Cases

• Modeling associations between gender identity and opioid prescription refills based on the study's cluster analysis.
• Investigating the impact of private drug insurance on medication adherence for chronic pain based on the described subgroups.
• Analyzing the interplay of employment status, age, and sex on antidepressant use patterns among chronic pain patients.

Strengths

• Links self-reported survey data to prescription claims for 561 individuals.
• Analyzes refills for four specific medication classes: antidepressants (48%), anticonvulsants (35%), opioids (19%), and NSAIDs (18%).
• Uses cluster analysis to create intersecting sociodemographic subgroups incorporating sex, gender, and other factors.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 278.0 KB file size suggests a limited scope, likely containing summary or analysis results rather than raw patient-level data.

Provenance

Source

Marimée Godbout-Parent via figshare

Collection Method

Cohort study linking self-reported questionnaire data to public and private prescription claims.

Time Range

Prescription refills analyzed in the year following questionnaire completion.

Freshness

Last updated 2026-04-22 05:46:27; freshness should be verified.

Geography

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