High rates of physician services utilization at least five years before multiple sclerosis diagnosis
Bibliographic record
Abstract
BACKGROUND: Multiple sclerosis (MS) management has changed over time, but changes in health care utilization by MS patients remain understudied. We estimated physician services utilization in the five-year periods before and after MS diagnosis, and over the period 1984-2008. METHODS: Using administrative data we identified 4092 persons with MS and a matched general population (GPOP) cohort of 21,446 persons. Using general linear models we compared physician visits between the MS and GPOPs for the period 1984-2008, the year of MS diagnosis, and for the five-year periods pre- and post-diagnosis. RESULTS: From 1984 to 2008, 98% of the MS population averaged ≥1 physician visits/year versus 87% of the GPOP. In 2008, the MS population had 12.9 physician visits/person-year while the GPOP had 8.4 (rate ratio (RR) 1.53; 95% confidence interval (CI): 1.52-1.55). Five years pre-MS diagnosis, the MS population had more physician visits than the GPOP (RR 1.15; 95% CI; 1.10-1.21). The number of visits peaked the year of MS diagnosis (19.0), decreasing thereafter, but remaining elevated versus the pre-diagnosis period. CONCLUSION: The MS population uses more physician services than the GPOP, starting at least five years pre-MS diagnosis. A better understanding of the reasons for these higher utilization rates may ultimately improve outcomes in MS.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".