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Cost of Health Care Among Patients With Chronic and Episodic Migraine in Canada and the USA: Results From the International Burden of Migraine Study (IBMS)

2011· article· en· W2108490520 on OpenAlexaffabout
Michael Stokes, Werner J. Becker, Richard B. Lipton, Sean D. Sullivan, Teresa K. Wilcox, Leandra Wells, Aubrey Manack, Irina Proskorovsky, Jonathan P. Gladstone, Dawn C. Buse, Sepideh F. Varon, Peter J. Goadsby, Andrew Blumenfeld

Bibliographic record

VenueHeadache The Journal of Head and Face Pain · 2011
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsAllergan (Canada)University of Calgary
Fundersnot available
KeywordsMigraineMedicineChronic MigraineHealth careDisease burdenDiseasePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate and compare healthcare resource use and related costs in chronic migraine and episodic migraine in the USA and Canada. BACKGROUND: Migraine is a common neurological disorder that produces substantial disability for sufferers around the world. Several studies have quantified overall costs associated with migraine in general, with recent estimates ranging from $581 to $7089 per year. Although prior studies have characterized the clinical and humanistic burden of chronic migraine relative to episodic migraine, to the best of our knowledge only 1 previous study has compared chronic migraine and episodic migraine healthcare costs. The purpose of this study was to quantify and compare the direct medical costs of chronic migraine and episodic migraine using medical resource use data collected as part of the International Burden of Migraine Study. METHODS: Cross-sectional data were collected from respondents in 10 countries via a Web-based survey. Respondents were classified as chronic migraine (≥15 headache days/month) or episodic migraine (<15 headache days/month). Data collection included socio-demographic and clinical characteristics and medical resource use for headache (clinician and emergency department visits and hospitalizations over the preceding 3 months and medications over the preceding 4 weeks). Unit cost data were collected outside of the Web-based survey using publicly available sources and then applied to resource use profiles. Cost estimates are presented in 2010 US and Canadian dollars. RESULTS: In this manuscript, the analysis included data from respondents with migraine in the USA (N=1204) and Canada (N=681). The most common medical services utilized by all respondents included headache-specific medication, healthcare provider visits, emergency department visits, and diagnostic testing. In the USA, approximately one-quarter (26.2%) of chronic migraine participants vs 13.9% of episodic migraine participants reported visiting a primary care physician in the preceding 3 months (P<.001). In Canada, one-half (48.2%) of chronic migraine participants had a primary care physician visit, compared with 12.3% of episodic migraine subjects (P< .0001). Total mean headache-related costs for participants with chronic migraine in the USA were $1036 (±$1334) over 3 months compared to $383 (±807, P< .001) for persons with episodic migraine. In Canada, total mean headache-related costs among chronic migraine subjects were $471 (±1022) compared to $172 (±920, P< .001) for episodic migraine subjects. CONCLUSIONS: Chronic migraine was associated with higher medical resource use and total costs compared to episodic migraine. Therapies that reduce headache frequency could become important approaches for containing or reducing headache-related medical costs.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.008
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.029
GPT teacher head0.264
Teacher spread0.236 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations259
Published2011
Admission routes2
Has abstractyes

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