Feasibility and acceptability of a nursing intervention with family caregiver on self-care among heart failure patients: a randomized pilot trial
Bibliographic record
Abstract
BACKGROUND: Self-care practices in heart failure (HF) contribute to quality of life, symptom stabilization, and extended life expectancy. However, adherence to practices such as liquid and salt restriction or symptom monitoring require high motivation on a daily basis. The aim was to assess the feasibility, acceptability, and potential effectiveness of a nursing intervention with family caregivers, aimed at improving self-care practice of HF patients. METHODS: This pilot study involved 32 HF patient-caregiver dyads (16/group) randomized to an experimental (EG) or control group (CG). The intervention, based on the Self-Determination Theory, was designed to enhance patients' autonomy and motivation in self-care practices, by involving their caregivers' support. Five encounters were planned with the EG dyads-two face-to-face during hospitalization and three by telephone after discharge. The feasibility of delivering the protocol was evaluated as well as the acceptability of the intervention. The potential effectiveness of the intervention was assessed based on patient outcomes, including general self-care management and self-care specific to HF, perceived competence to manage HF, autonomous motivation (A-motivation, external extrinsic motivation, internal extrinsic motivation, and intrinsic motivation), and perceived support from the caregiver. Caregiver outcomes included level of support provided to the patient. RESULTS: Despite recruitment challenges, the intervention was feasible, with 12 of the 16 dyads receiving all 5 encounters delivered per protocol. The 4 other dyads received the two hospital encounters, but at least 1 of the 3 post-discharge planned telephone encounters was not feasible because the patients had been re-hospitalized or was deceased. Participant's satisfaction with the intervention was high. Outcomes favoring the EG include self-care specific to HF, internal extrinsic motivation, intrinsic motivation, and caregiver's feeling that they provide a higher level of support. CONCLUSIONS: Caregiver involvement was found to be both a feasible and acceptable means of supporting self-care practice in HF patients. This approach presents a potential avenue for enhancing patients' efforts in this regard. However, this pilot study offers preliminary findings only, which need to be replicated in a phase 3 clinical trial.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".