Health Care Utilization in the Last Year of Life in Parkinson Disease and Other Neurodegenerative Movement Disorders
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
Background and Objectives: Neurodegenerative movement disorders are rising in prevalence and are associated with high health care utilization. Generally, health care resources are disproportionately expended in the last year of life. Health care utilization by those with neurodegenerative movement disorders in the last year of life is not well-understood. The goal of this study was to assess the utilization of acute care in the last year of life among individuals with neurodegenerative movement disorders and determine whether outpatient neurology or palliative care affected acute care utilization and place of death. Methods: We conducted a retrospective cross-sectional study including health system administrative data in Alberta, Canada, from 2011 to 2017. Administrative data were used to determine place of death and quantify emergency department (ED) visits, hospitalizations, intensive care unit admissions, and outpatient generalist and specialist visits. Diagnoses were classified by 10th revision of the International Classification of Diseases codes. Stata 16v was used for statistical analyses. Results: < 0.001). Discussion: There are high rates of in-hospital death and acute care utilization in the year before death among those with neurodegenerative movement disorders. Most did not access specialist palliative or neurologic care in the last year of life. Outpatient palliative care and home care services were associated with increased odds of dying at home. Our results indicate the need for further research into the causes, costs, and potential modifiers to inform public health planning.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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