Abstract P136: Assessing the Impact of Atrial Fibrillation Symptoms: Whose Perspective Should Be Used to Develop a Health Status Questionnaire?
Bibliographic record
Abstract
Background Knowledge on how patients experience atrial fibrilliation (AF) and the effect of AF on their life is needed. While generic health status tools are used in clinical trials where the aim is to get a general picture of how patients rate their health, an AF disease-specific tool is missing. In development of disease-specific tools it is important that both patients and physicians are asked to describe the impact of symptoms of AF, when the goal is to elucidate patients' perspectives on the impact of the symptoms on their life with AF. By means of a systematic literature search, we identified five AF disease-specific self-reported instruments: The Canadian Cardiovascular Society Severity in AF (CCS-SAF); the specific questionnaire for Quality of Life in AF patients (QLAF); the Short Symptom Scale for patients with AF (SSS-AF); The Quality of Life questionnaire for patients with AF (AF-QOL); and finally the Atrial Fibrillation Effect on QualiTy-of-life (AFEQT). Aim The aim of this study was to compare five disease-specific AF self-reported instruments in order to elucidate which one is preferable to validate in a Danish context. The preferable tool is expected to be used in a prospective study on the evaluation of ablation and mini-maze operation due to AF and in a study on the development of a rehabilitation solution for patients with AF. Method A literature study comparing the five tools by text analysis was conducted as suggested by the Danish scholar Leif Becker Jensen. Criteria to determine which tool to validate in a Danish cohort included: a) Purpose of tool, b) Perspective captured in development of the tool, d) Content of the tool including length and type of questions, items, domains, e) Validation of the tool. Results a) Purpose of tool b) Perspective captured in development of the tool c) Content of the tool d) Validation of the tool CCS-SAF - Canada Designed for use in clinical practice. Not well designed for clinical trials to elucidate patients' perspective on the impact of symptoms on their life. Expert perspective only Consists of three steps; symptoms, association, functionality, and finally rating of the patients in Five classes (0-4). à designed for doctors to fill out Short Form 36, University of Toronto Atrial Fibrillation Severity Scale QLAF - Brazil Designed for clinical trials. Can also be used in the clinical practice context. Expert perspective only Consists of seven domains and 22 questions and is to be filled out by patients. Short Form 36 SSS-AF - Sweden Designed for use in clinical practice. Not well designed for clinical trials to elucidate patients' perspective on symptoms impact on their life. Expert perspective only Consists of six items which the patient rates on a scale from 0-100 Toronto AF symptom checklist, Short Form 36. AF-QOL - Spain Designed for clinical trials. Can also be used in the clinical practice context. Both patient and expert perspective were involved. Patients were involved during the process by focus group interviews Consists of 18 questions divided into three domains and is designed to be filled out by the patients Short Form 36 AFEQT - US Designed for clinical trials. Can also be used in the clinical practice context. Both patient and expert perspectives were involved. Patients were involved during the process by personal interviews and by having patients' rate relevant items. Consists of 21 questions divided into two sections and is also designed for the patients to fill out Short Form 36, EuroQOL - 5D, Symptom Checklist: Frequency and Severity, University of Toronto Atrial Fibrillation Severity Scale. Generalized Anxiety Disorder (GAD-7), Atrial Fibrillation Patients and Physician Global Change Forms Conclusion AFEQT and AF-QOL meet the criteria specified and by the fact that AFEQT is validated against more tools than AF-QOL it is preferred and will be translated into a Danish context for use in future Danish studies mentioned in the aim section of this study.
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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 | 0.033 | 0.080 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".