Preference for Pediatric Telehome Care Support Following Hospitalization: A Report on Preference and Satisfaction
Bibliographic record
Abstract
Infants and children hospitalized with complex conditions often face sudden and dramatic reduction in supervision and monitoring after discharge. A telehome care program was designed to improve the transition home for these children by integrating visiting home care services with outreach from pediatric nurses located in the hospital via videoconferencing. Children were recruited into a trial of telehome care for up to 6 weeks following discharge. Parental preference for this service was measured prior to and following participation. There were 10 enrollments in the pilot stage and 57 during the trial. These children had serious chronic conditions with comorbidity. The majority had a cardiac, respiratory, or otolaryngolic primary diagnosis. More than half of the respondents (59%) indicated strong preferences for telehome care prior to participation. The satisfaction for care delivered at home was no different from care in the hospital. There was no difference in satisfaction or preference observed by sociodemographic factors, diagnosis, or clinical circumstance. Parents with children who have significant health care needs have a strong preference for and satisfaction with telehome care. Additional evidence on costs and benefits may be important for promoting further development of this type of service.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".