Use of the Montreal Cognitive Assessment (MoCA) in a Rural Outreach Program for Military Veterans.
Bibliographic record
Abstract
The Montreal Cognitive Assessment (MoCA) is a free, easily accessible screener ideal for rural areas where resources are limited. We examined administration and scoring by Veteran Community Outreach Health Workers (VCOHWs); compared positive screening rates using two cutoff scores; and examined predictors of education-adjusted scores in N = 168 rural military Veterans from the Alabama Veteran Rural Health Initiative. Accuracy of administration (95 percent) and scoring (68 percent) was calculated and recommendations are offered. Higher than expected rates of positive screens were observed (40 percent using 24/30 cutoff) in this relatively young (M = 55 years) community-dwelling sample. Age, education, and race but not subjective health predicted differences in domain and total education-adjusted scores on multivariate and univariate tests. This study advances social science research in rural communities by being the first to: (1) examine MoCA scores in a rural, Deep South U.S. sample; and (2) report fidelity administration data for VCOHWs.
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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 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".