Social Security Disability Insurance (SSDI) in Parkinson's disease
Bibliographic record
Abstract
OBJECTIVE: Parkinson's disease (PD) causes significant economic burden for patients and caregivers. Social Security Disability Insurance (SSDI) provides insurance to workers in the United States who have been gainfully employed, but who are no longer able to work due to a medical condition. We performed a descriptive pilot study that examined PD patients' experience with SSDI. METHODS: PD patients who were diagnosed with PD prior to age 60 and were followed at an academic movement disorders center were consecutively invited to participate in a survey concerning their employment history and experience with SSDI. RESULTS: All 68 invited patients participated in the study (mean age 58 years, mean disease duration 9.5 years). Eighty-two percent of patients felt that they were too disabled to work full time at a mean of 3.4 years after PD diagnosis. Patients applied for SSDI at a mean of 5 years after diagnosis, and two-thirds of PD patients who applied for SSDI obtained it on their first attempt. The primary debilitating symptom that subjectively contributed to work disability was fatigue (49% of patients). Patients who successfully acquired SSDI had extensive documentation of physician visits, and the aid of a disability lawyer. CONCLUSIONS: Patients felt they were too disabled to work full time at a mean of 3.4 years after diagnosis. Those who applied for SSDI did so at a mean of 5 years after diagnosis. Patients who obtained SSDI awards had extensive documentation of medical records or the help of a disability lawyer.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".