The Validity of Diagnosing Chronic Obstructive Pulmonary Disease from a Large Administrative Database
Bibliographic record
Abstract
BACKGROUND: Health authorities create and maintain administrative databases. Despite the potential advantages of these databases, the validity of the information they include must be considered. OBJECTIVE: To examine the validity of diagnosing chronic obstructive pulmonary disease (COPD) from a large administrative database. METHODS: Physician services and prescription claims data related to COPD and asthma were extracted from the Quebec universal medical insurance register (Régie de l'assurance-maladie du Québec; RAMQ) from the period of April 1, 1994 to March 31, 1999. Before obtaining the data, criteria for the validity of the COPD diagnosis in the database were formulated based on the epidemiology of COPD in the province. The extent to which the database satisfied these criteria are described within the present paper. RESULTS: For patients aged 65 years or older, COPD was two times more prevalent in the RAMQ database than in the 1994/1995 National Population Health Survey. One in three patients with a RAMQ-diagnosis of COPD also had a RAMQ-diagnosis of asthma, and 47% of patients aged 65 years or older with a RAMQ-diagnosis of COPD did not fill any prescription for beta-2-agonists. In addition, 42% of patients with a RAMQ-diagnosis of COPD who never had a RAMQ-diagnosis of asthma appeared only once with that diagnosis in the database. Of all patients aged 65 years or older with a RAMQ-diagnosis of COPD, 37% and 23% met the operational definitions of 'possible COPD' and 'probable COPD', respectively. CONCLUSIONS: Most RAMQ-diagnoses of COPD lack validity; therefore, the validity of database diagnoses should be routinely ascertained before using administrative databases in clinical and health services research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".