Changes over time in the management of long‐term conditions in primary health care for adults with intellectual disabilities, and the healthcare inequality gap
Bibliographic record
Abstract
BACKGROUND: Quality of primary healthcare impacts on health outcomes. This study aimed to quantify trends in good practice and the healthcare inequalities gap. METHOD: Indicators of best-practice management of long-term conditions and health promotion were extracted from primary healthcare records on 721 adults with intellectual disabilities in 2007-2010, and 3638 in 2014. They were compared over time, and with the general population in 2014, using Fisher's Exact test and ordinal regression. RESULTS: Management improved for adults with intellectual disabilities over time (OR = 5.32; CI = 2.69-10.55), but not for the general population (OR = 0.74; CI = 0.34-1.64). However, it remained poorer, but to a lesser extent, compared with the general population (OR = 0.38; CI = 0.20-0.73 in 2014, and OR = 0.05; CI = 0.02-0.12 in 2007-2010). In 2014, health care was comparable to the general population on 49/78 (62.8%) indicators. CONCLUSIONS: The extent of the healthcare inequality gap reduced over this period, but remaining inequalities highlight that further action is still necessary.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".