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Record W2142163553 · doi:10.1176/ps.2007.58.1.79

Antidepressant Utilization in British Columbia From 1996 to 2004: Increasing Prevalence but Not Incidence

2007· article· en· W2142163553 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePsychiatric Services · 2007
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsAntidepressantIncidence (geometry)MedicineEnvironmental healthPsychiatryEmergency medicineDemographyGerontologySociology

Abstract

fetched live from OpenAlex

OBJECTIVES: Expenditures on antidepressants in Canada are rapidly increasing; yet few studies have analyzed the characteristics of antidepressant users. This study investigated the prevalence and incidence of antidepressant use in British Columbia over eight years. METHODS: Antidepressant utilization and demographic data were assessed for the population of British Columbia from 1996 to 2004. Prescription claims were identified within the PharmaNet database for serotonin reuptake inhibitors (SSRI), tricyclics, monoamine oxidase inhibitors, bupropion (categorized separately for smoking cessation), and "novel" antidepressants, such as venlafaxine. Incident utilization (dispensed "first" antidepressant after two years without an antidepressant claim) and prevalent utilization were analyzed. All cohort members were required to have continuous registration with British Columbia medical services for at least two years before the first antidepressant claim. RESULTS: Prevalence of antidepressant use doubled, from 34 to 72 users per 1,000 population, between 1996 and 2004. The prevalence of particular classes of antidepressants also changed over time. Prevalence of novel antidepressants and SSRIs increased, although incidence of SSRIs decreased. Prevalent and incident use of bupropion for smoking cessation peaked in 1999 but then declined. Quarterly incident antidepressant use increased in 1998 and 1999 (6.5 and 11.3 users per 1,000) but decreased through 2004 (4.2 users per 1,000). Those aged 20 to 44 years and those aged 45 to 64 years showed the greatest peak in incident antidepressant use. A socioeconomic gradient in prescribing was observed. CONCLUSIONS: Prevalent antidepressant use has increased dramatically since 1996. By contrast, incident use increased from 1998 to 1999 but then decreased through 2004. Many complex factors likely contribute to antidepressant prescribing patterns.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.338
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it