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Record W2038136090 · doi:10.1586/14737167.4.1.71

Self-management interventions to improve outcomes in patients suffering from COPD

2004· article· en· W2038136090 on OpenAlexaff
Jean Bourbeau

Bibliographic record

VenueExpert Review of Pharmacoeconomics & Outcomes Research · 2004
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsRoyal Victoria Hospital
Fundersnot available
KeywordsMedicinePulmonary diseaseExacerbationCOPDSelf-managementQuality of life (healthcare)Disease managementPsychological interventionIntensive care medicineEmergency departmentHealth careDiseaseChronic diseasePhysical therapyNursingInternal medicine

Abstract

fetched live from OpenAlex

New research and evidence-based self-management programs are now emerging in chronic obstructive pulmonary disease. Patients with moderate-to-severe chronic obstructive pulmonary disease who receive a self-management education with supervision and support of a case manager, have better outcomes than patients receiving standard care. The benefits are on patients' health status and healthcare utilization with markedly decreased hospitalizations, emergency department and unscheduled physician visits. These benefits are worth considering since self-management could also be cost saving. There is no reason to question the value of self-management in chronic obstructive pulmonary disease, especially for those patients who have a decreased health-related quality of life and high exacerbation rate. Self-management should be an integral part of the long-term care of chronic obstructive pulmonary disease patients. Rather than telling the patient to learn to live with their disease, they should be taught to self-manage.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.031
GPT teacher head0.476
Teacher spread0.444 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations21
Published2004
Admission routes1
Has abstractyes

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