Healthcare utilization and health‐related quality of life of adult survivors of preterm birth complicated by bronchopulmonary dysplasia
Bibliographic record
Abstract
AIM: This study aims to characterize the impact of preterm birth, respiratory distress syndrome and bronchopulmonary dysplasia on quality of life and healthcare utilization in adulthood. METHODS: A mail survey on quality of life and respiratory health was sent to a list of potential subjects identified using the databases of the Régie de l'asssurance maladie du Québec. Four groups of adults born between 1987 and 1993 were compared: (i) preterm with bronchopulmonary dysplasia, (ii) preterm with respiratory distress syndrome, (iii) preterm without respiratory complications and (iv) term controls. As a complement, data from the governmental healthcare administrative databases were extracted for responders. RESULTS: Although the groups differed in their use of healthcare services and prescription drugs, no clinically significant difference was observed for Saint George's Respiratory Questionnaire (SGRQ), SF-36v2 and Medical Research Council (MRC) Dyspnea Scale scores. However, compared to term subjects, bronchopulmonary dysplasia subjects were less likely to access higher education and more likely to be either invalid or unemployed. CONCLUSION: Compared to term subjects, subjects with a history of prematurity and respiratory distress syndrome or bronchopulmonary dysplasia had similar health-related quality of life and respiratory symptoms despite greater use of healthcare services and prescription drugs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".