Experiences of Facilitators and Inhibitors to Treatment Adherence in Patients with Heart Failure
Bibliographic record
Abstract
Treatment adherence is a fundamental aspect of heart failure (HF) management. This study aimed to explore the experiences of facilitators and inhibitors of treatment adherence in patients with HF. This descriptive qualitative study was conducted from May 2020 to June 2021. Participants including people with HF, their family caregivers and physicians, and nurses were selected purposefully, with the aim of obtaining sufficient information power. Semi-structured interviews were used to collect data. Data were analyzed using thematic analysis. Two main themes "the driving forces behind treatment adherence" and "the deterrent forces behind treatment adherence" emerged from the analysis. The first theme contained the following subthemes: "supportive family," "positive personality characteristics," and "having health literacy." The second theme consisted of "negligence," "psychological problems," "cultural, social, and economic problems," "physical limitations," and "lack of self-care management knowledge." Nurses can consider facilitators and inhibitors of treatment adherence in designing educational and care programs for patients with HF.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".