Telemonitoring for Seniors with Chronic Heart Failure: Patient Self-Care, Empowerment, and Adoption Factors
Bibliographic record
Abstract
Telemonitoring (TM) represents a promising technology for the management of chronic diseases. It is of particular relevance to senior patients with heart failure (HF) condition. This study employs a longitudinal design, and involves three surveys of elderly HF patients (n=23) administered one week, three months, and six months after system adoption. The main constructs were assessed based on existing validated scales. The results show that senior patients perceived value in using TM, did not expect the technology to be difficult to use, and did not encounter barriers to adoption. The analysis of impacts on self-care revealed significant positive effects of TM on the confidence of senior patients in their self-care ability to evaluate their symptoms, address them, and evaluate the effectiveness of the measures they take. Significant positive effects were also observed on two measures of treatment implementation. TM may be leveraged to improve senior patients’ self-care skills, which will benefit their health condition.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.001 |
| 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".