Here comes the SUN: Self‐assessed unmet need, worsening health outcomes, and health care inequity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Utilization-based approaches have predominated the measurement of socioeconomic-related inequity in health care. This approach, however, can be misleading when preferences over health and health care are correlated with socioeconomic status, especially when the underlying focus is on equity of access. We examine the potential usefulness of an alternative approach to assessing inequity of access using a direct measure of possible barriers to access-self-reported unmet need (SUN)-which is documented to vary with socioeconomic status and is commonly asked in health surveys. Specifically, as part of an assessment of its external validity, we use Canadian longitudinal health data to test whether self-reported unmet need in one period is associated with a subsequent deterioration in health status in a future period, and find that it is. This suggests that SUN does reflect in part reduced access to needed health care, and therefore may have a role in assessing health system equity as a complement to utilization-based approaches.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it