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Record W7033199807

Real-World Treatment Patterns and Switching Following Moderate/Severe Chronic Obstructive Pulmonary Disease Exacerbation in Patients with Commercial or Medicare Insurance in the United States

2023· article· en· W7033199807 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicPublic Health and Environmental Issues
Canadian institutionsnot available
Fundersnot available
KeywordsExacerbationCOPDCopd exacerbationPulmonary diseasePharmacyHealth planMedical insurance
DOInot available

Abstract

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Michael Bogart,1 Guillaume Germain,2 François Laliberté,2 Dominique Lejeune,2 Mei Sheng Duh3 1U.S. Value Evidence and Outcomes, R&D US, GSK, Research Triangle Park, NC, USA; 2Groupe d’analyse, Ltée, Montréal, QC, Canada; 3Analysis Group, Boston, MA, USACorrespondence: Mei Sheng Duh, Analysis Group, 111 Huntington Ave 14th Floor, Boston, MA, 02199, USA, Tel +1 617 425 8131, Email mei.duh@analysisgroup.comPurpose: There is limited literature regarding real-world treatment patterns of patients with COPD, particularly since the introduction of once-daily single-inhaler triple therapy with fluticasone furoate/umeclidinium/vilanterol in 2017. Here, we evaluated treatment patterns of patients with COPD before and after a COPD exacerbation.Patients and Methods: Retrospective, descriptive study using medical and pharmacy claims data and enrollment information from the Optum® Clinformatics® Data Mart database. Patients aged ≥ 40 years with ≥ 1 COPD exacerbation on or after September 18, 2017 were included. The index date was the last day of the first COPD exacerbation (ie day of visit for a moderate exacerbation or discharge date for a severe exacerbation). The baseline period was 12 months prior to index and the follow-up period (≥ 3 months) spanned from index until the earliest of health plan disenrollment, end of data availability (September 30, 2020), or death. Treatment patterns were evaluated during baseline and follow-up, with a focus on medication switching in the 90 days pre- and post-index.Results: COPD exacerbations were identified in 307,727 patients (125,942 severe; 181,785 moderate). Mean age at index was 72.8 years; 56.3% were female. Before and after first exacerbation, 37.7% and 48.2% of patients used ≥ 1 controller medication, respectively. In the 90 days pre-index, ICS, LABA, and LAMA medications were used by 27.5% of patients. Of these users, 64.3% remained on the same medication class, 21.7% discontinued, and 14.1% switched medication in the 90 days post-index. Among switchers, 44.0% switched to triple therapy. Most common switches were ICS/LABA to ICS/LABA/LAMA (20.7%) and LAMA to ICS/LABA/LAMA (16.4%).Conclusion: Many COPD exacerbations occur among patients not on controller medications. Although the percentage of patients receiving a controller medication increased following a first exacerbation, it remained below 50%. Of patients receiving controller medications pre-exacerbation, only a small proportion escalated to triple therapy post-exacerbation.Keywords: COPD, medication switching, medication discontinuation, single-inhaler triple therapy, FF/UMEC/VI

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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.096
GPT teacher head0.448
Teacher spread0.352 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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