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Canada's Study of Adherence Outcomes in Patients Receiving Adalimumab: 3-year Results From the COMPANION Study

2018· article· en· W2804830120 on OpenAlexaffabout
John K. Marshall, Louis Bessette, Neil H. Shear, Gerald Lebovic, Jennifer M. Glass, Brad Millson, Tania Gaetano, Sandra Gazel, Martin G. Latour, Marie-Claude Laliberté, Carter Thorne

Bibliographic record

VenueClinical Therapeutics · 2018
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsABB (Canada)St. Michael's HospitalSunnybrook Health Science CentreHealth Sciences CentrePopulation Health Research InstituteUniversité LavalUniversity of TorontoMcMaster University
FundersAbbVie
KeywordsMedicineDiscontinuationHazard ratioAdalimumabOdds ratioRetrospective cohort studyInternal medicineProportional hazards modelLogistic regressionMedical prescriptionCohort studyPharmacyEmergency medicineConfidence intervalFamily medicineRheumatoid arthritisPharmacology

Abstract

fetched live from OpenAlex

PURPOSE: The aim of this study was to quantify the association between receiving care-coach calls (CCCs), a service provided by a patient-support program (PSP) in Canada, and persistence with and adherence to adalimumab therapy over a 3-year period in patients with immune-related inflammatory diseases (IMID). METHODS: COMPANION, a longitudinal, retrospective cohort study, was conducted using patient-level data from the PSP combined with those from a longitudinal pharmacy-transaction database in patients initiating adalimumab therapy between 2010 and 2012. Patients aged ≥18 years who were naive to adalimumab therapy were selected, and data from their prescriptions from 36 months or until drug discontinuation, defined as >90 days without drug supply, were evaluated. Cox proportional hazards modeling was used to estimate hazard ratios for the association between persistence, and patient characteristics and PSP services. Adherence was measured using the medication possession ratio. Multivariate logistic regression was used to estimate adjusted odds ratios to determine the relationship between adherence (medication possession ratio ≥80%), and patient characteristics and PSP services. FINDINGS: A total 4772 patients were included (55% women; 24% aged 50-59 years). Of these, 2866 qualified for the persistence analysis, and 51% received CCCs (n = 1452). Of the 4772 patients, 4630 qualified for the adherence analysis, and 33% received CCCs (n = 1511). Baseline characteristics were similar between the group that received CCCs versus the group that did not. During the follow-up period, patients who received CCCs had a significantly reduced risk for treatment discontinuation (hazard ratio = 0.350; 95% CI, 0.298-0.413; P < 0.0001) and a greater likelihood of being adherent (odds ratio, 2.248; 95% CI, 1.927-2.624; P < 0.0001). IMPLICATIONS: CCCs were associated with greater adherence and improved persistence in these patients receiving adalimumab therapy over a 3-year period for IMID.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.097
Threshold uncertainty score0.920

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.181
GPT teacher head0.420
Teacher spread0.239 · 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 teacher head, 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

Citations6
Published2018
Admission routes2
Has abstractyes

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