Validity and reliability of the Korean version of self-care of heart failure index
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
Purpose: Self-care and associated decisions for therapeutic recommendations have been a focus of attention recently in Korea. The purpose of this study was to address the dimensionality and reliability of a Korean version of Self-care of Heart Failure Index (SCHFI v.6.2), a measure of self-care of patients with heart failure within a clinical context.Methods: The study sample completed 120 surveys that consisted of demographic variables and the SCHFI v.6.2, which was created to measure self-care maintenance, self-care management, and self-care confidence in HF patients. Confirmatory factor analysis using Mplus verified a robust structural fit of the three dimensionality for each subscale.Results: Self-care maintenance, CFI = .92, TLI = .88, SRMR = .06, RMSEA = .07; self-care management, CFI = .93, TLI = .78, SRMR = .05, RMSEA = .24; self-care confidence, CFI = .95, TLI = .92, SRMR = .05, RMSEA = .13. Multidimensionality yielded the self-care maintenance scale having 4-factor structures, while each self-care management and confidence scale had a unidimensionality. Reliability estimates using methods compatible with each scale’s dimensionality were adequate to high, ranging from .71 to .96.Conclusions: Psychometric testing of the SCHFI demonstrates a sound model fit, with desirable reliability estimates given each scale dimensionality, using Cronbach’s alpha coefficient and alternative options.
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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 | 0.003 | 0.005 |
| 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