Additional file 1 of Patterns of psychotropic drug prescriptions and general practice consultations among community-dwelling older people with dementia during the first two years of the COVID-19 pandemic
Bibliographic record
Abstract
Additional file 1: Table S1. Flow chart for the recruitment of the study population in different research networks each year. Table S2. The number of prescriptions for psychotropic drugs and two tracer drugs, and general practice consultations of community-dwelling older people with dementia in different research networks by year (2019-2021). Table S3. The interrupted time-series model of the rate of prescription for psychotropic drugs and two tracer drugs in community-dwelling older people with dementia in different phases of the COVID-19 pandemic in the northern region of the Netherlands. Table S4. The interrupted time-series model of the rate of prescription for psychotropic drugs and two tracer drugs in community-dwelling older people with dementia in different phases of the COVID-19 pandemic in the southern region of the Netherlands. Table S5. The interrupted time-series model of the rate of prescription for psychotropic drugs and two tracer drugs in community-dwelling older people with dementia in different phases of the COVID-19 pandemic in the northern region of the Netherlands, adjusted for quarter seasonality. Table S6. The interrupted time-series model of the rate of prescription for psychotropic drugs and two tracer drugs in community-dwelling older people with dementia in different phases of the COVID-19 pandemic in the southern region of the Netherlands, adjusted for quarter seasonality. Figure S1. The number of weekly study population in the northern and southern regions from 2019 to 2021. Figure S2. The percentage of different types of consultations per week from 2019 to 2021. Figure S3. The rate of weekly general practice consultations per 1000 community-dwelling older people with dementia from 2019 to 2021. Figure S4. The absolute change in the rate of weekly general practice consultations per 1000 community-dwelling older people with dementia, compared with corresponding weeks in 2019. Figure S5. The absolute change in the rate of weekly prescriptions per 1000 community-dwelling older people with dementia, compared with corresponding weeks in 2019.
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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 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.780 | 0.067 |
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".