Does Familiarity with Technology Predict Successful Use of an External Loop Recorder? The Loop Recorder Technology Cognition Study (LOCO)
Bibliographic record
Abstract
BACKGROUND: The diagnosis of presyncope, syncope, and palpitations is facilitated by successful documentation of the cardiac rhythm during symptoms. We prospectively assessed technological familiarity using a Technology Cognition Questionnaire to determine influence on proper and effective use of an external loop recorder (ELR). METHODS: Patients with palpitations, presyncope, or syncope were assessed for familiarity with technology and provided an ELR for a period of 6 weeks. Proper use of the device was demonstrated to the patient and test transmissions were sent by analog telephone line on a weekly basis. Patients were instructed to activate the device to record cardiac rhythm when symptoms recurred, and to send these recordings via telephone transmission. RESULTS: Ninety-two patients were prospectively enrolled, with mean age 54.9 +/- 20.9 and 42 males (46%). Sixty-five patients (71%) had recurrence of symptoms during the 6-week monitoring period. Among these patients, 40 (62%) were successful in recording and transmitting data such that a diagnosis was made at a median of 8 days (IQR 12.5, range 0-30). Among patients with symptoms during the monitoring period, 36 (55%) had at least one failed recording or transmission. On multivariate analysis, failed symptom recording/transmission was less likely among patients able to program a home video recorder (odds ratio [OR] 0.25 [0.07-0.93]), and more likely among patients who failed a test transmission (OR 3.45 [1.04-11.7]). No variables were independently associated with successful diagnosis. CONCLUSIONS: Familiarity with technology correlates with successful use of the ELR, but does not necessarily correlate with the ability to reach a diagnosis.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".