Feasibility and acceptability of opportunistic screening to detect atrial fibrillation in Aboriginal adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Examine the feasibility and acceptability of an electrocardiogram (ECG) attached to a mobile phone (iECG) screening device for atrial fibrillation (AF) in Aboriginal Controlled Community Health Services (ACCHS) and other community settings. METHODS: Semi-structured interviews were conducted with ACCHS staff in urban, rural and remote communities in three Australian states/territories. Quantitative and qualitative questions identified the enabling factors and barriers for staff and Aboriginal patients' receptiveness to the device. Mean quantitative scores and their standard deviation were calculated in Microsoft Excel and qualitative questions were thematically analysed. RESULTS: Eighteen interviews were conducted with 23 staff across 11 ACCHS. Quantitative data found staff were confident in providing iECG screening and managing the referral pathway, and thought the process was beneficial for patients. Qualitative data highlighted the usefulness of the device to undertake opportunistic screening and acceptability in routine practice, and provided opportunities to engage patients in education around AF. CONCLUSION: The iECG device was well accepted within ACCHSs and was feasible to use to screen for AF among Aboriginal patients. Implications for public health: The device can be used in clinical and community settings to screen Aboriginal people for atrial fibrillation to help reduce rates of stroke and other cardiovascular diseases.
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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 | 0.002 | 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 it