Synchronous telehealth and face‐to‐face administration of the Alberta Infant Motor Scale
Bibliographic record
Abstract
AIM: To determine the agreement between the Alberta Infant Motor Scale (AIMS), when delivered via synchronous telehealth compared with face-to-face administration to assess gross motor development of infants. METHOD: In this prospective cross-sectional study, 123 infants (gestational age: mean 38.8 weeks (SD 1.8); range 31-42 weeks; male n = 65) were assessed at 4 months, 8 months, or 12 months old with two AIMS assessments: face-to-face and via synchronous telehealth. The agreement between the assessments was examined using intraclass correlation coefficient (ICC) and the Bland-Altman method with 95% limits of agreement. RESULTS: Agreement between AIMS assessments administered face-to-face and via synchronous telehealth had an overall ICC of 0.99 (95% confidence interval [CI] 0.98, 0.99) and within age group: 4 months ICC 0.72 (95% CI 0.58, 0.83), 8 months ICC 0.97 (95% CI 0.96, 0.98), and 12 months ICC 0.98 (95% CI 0.96, 0.99). INTERPRETATION: The AIMS assessment delivered via synchronous telehealth shows excellent agreement with face-to-face assessment. Telehealth is a good alternative to face-to-face AIMS assessment, particularly for older infants.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".