Perceived Therapeutic Self-Care Ability of Patients in Surgical Units: A Multisite Survey
Bibliographic record
Abstract
Assessing patients’ therapeutic self-care ability allows nurses to initialize care and implement interventions to enhance their self-care abilities. However, sociocultural beliefs and determinants can affect patients’ self-care practices. This study determined perceived therapeutic self-care ability of patients in surgical units in Pakistan. A survey was conducted using a purposive sample 511 patients admitted to surgical units for at least 24 hours. Data were collected using the Urdu version of Therapeutic Self-Care Measure. The mean self-care ability score was 20.05 ± 4.3. Patients felt more prepared to take their medications, but less prepared to respond to any unforeseeable physical changes. Significant difference was found between self-care ability of male (20.68 ± 4.15) and female (19.18 ± 4.27) ( p < .001) patients. A weak negative correlation was found between patient age and self-care ability ( r = −0.15, p = .001). Self-care ability assessment should be included in routine discharge planning, and nurses should provide more tailored self-care discharge education to surgical patients.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".