Effect of Difficulty Affording Health Care on Health Status After Coronary Revascularization
Bibliographic record
Abstract
BACKGROUND: An objective of the United States' Healthy People 2010 Initiative is to eliminate disparities based on socioeconomic status. We assessed the effect of difficulty affording health care on the health status (symptoms, function, and quality of life) of patients treated with percutaneous coronary intervention or CABG. METHODS AND RESULTS: A consecutive, single-center cohort of 480 patients undergoing coronary revascularization received the Seattle Angina Questionnaire at the time of their procedure and at subsequent monthly intervals for 6 months. At baseline, patients who reported somewhat of a burden to a severe burden in affording health care had significantly lower scores on the Seattle Angina Questionnaire (mean+/-SD) with respect to angina (55+/-29 versus 68+/-25, P<0.0001), physical limitation (55+/-26 versus 72+/-24, P<0.0001), and quality of life (46+/-22 versus 56+/-22, P<0.0001) than those who did not perceive healthcare costs to be burdensome. Although both groups of patients improved after revascularization, poorer health status persisted among those with difficulty affording health care after percutaneous coronary intervention (6-month mean+/-SE: angina 79+/-2.5 versus 88+/-1.9, P=0.002; physical function 61+/-2.7 versus 80+/-2.0, P<0.0001; quality of life 67+/-2.4 versus 82+/-1.8, P<0.0001) but not after CABG (angina 91+/-2.5 versus 93+/-1.6, P=0.47; physical function 75+/-3.4 versus 81+/-2.2, P=0.13; quality of life 84+/-3.1 versus 84+/-2.0, P=0.81). Similar differences remained after adjustment for demographic and clinical characteristics. CONCLUSIONS: Patients reporting difficulty affording health care have worse health status at the time of coronary revascularization. A persistent disparity exists after percutaneous but not surgical revascularization. Additional inquiry into the mechanism of this disparity is needed so that the goals of equitable health care, irrespective of treatment strategy, can be achieved.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".