Teleneuropsycological adaptation of the NEUROPSI Breve screening test
Bibliographic record
Abstract
Objective Teleneuropsychology refers to the application of neuropsychology using video teleconferencing (VTC) techniques, whose methodology facilitates access to remote populations, a need that has increased due to the COVID-19 pandemic. Numerous investigations have documented the equivalence of different screening assessments (Mini Mental State Examination, Montreal Cognitive Assessment (MoCA) test and the Repeatable Battery for the Assessment for Neuropsychological Status) when applied via teleneuropsychology. The goal of the present work is to test the equivalence of the Brief Neuropsychological Battery in Spanish (NEUROPSI Breve), a neuropsychological screening instrument standardized for Spanish-speaking population that has reported a high sensitivity (91.6%) for identifying dementia, when applied in the VTC modality. Method In total, 32 Mexicans between 16 and 70 years were assessed, both in traditional (face-to-face) and VTC format with a 20 min wait between each application. Each participant was randomly assigned into one of four groups that were generated from the established conditions: the first application could be face-to-face or by VTC modality and an adapted or original version of NEUROPSI Breve would be applied; for the second application, the remaining modality and instrument would be used. Statistical analysis was carried out using the IBM Statistical Package for the Social Sciences (SPSS) software (v. 25). Results The Wilcoxon signed-rank test presented statistically significant differences (Z = −2.79, P = .005). However, when applied to each one of the four evaluation groups, the Wilcoxon signed-rank test showed no statistically significant differences; the same results were found when starting with the original or adapted instrument, and when starting with the face-to-face modality ( P < .005). However, differences are shown when starting with the online (VTC) modality (groups B and C) ( P = .028). Conclusions The NEUROPSI Breve is applicable in both modalities, satisfying the needs of the population and the evaluation guidelines.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.005 | 0.001 |
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".