Hospital-Based Comprehensive Care Programs for Children With Special Health Care Needs
Bibliographic record
Abstract
OBJECTIVE: To examine the effectiveness of hospital-based comprehensive care programs in improving the quality of care for children with special health care needs. DATA SOURCES: A systematic review was conducted using Ovid MEDLINE, CINAHL, EMBASE, PsycINFO, Sociological Abstracts SocioFile, and Web of Science. STUDY SELECTION: Evaluations of comprehensive care programs for categorical (those with single disease) and noncategorical groups of children with special health care needs were included. Selected articles were reviewed independently by 2 raters. DATA EXTRACTION: Models of care focused on comprehensive care based at least partially in a hospital setting. The main outcome measures were the proportions of studies demonstrating improvement in the Institute of Medicine's quality-of-care domains (effectiveness of care, efficiency of care, patient or family centeredness, patient safety, timeliness of care, and equity of care). DATA SYNTHESIS: Thirty-three unique programs were included, 13 (39%) of which were randomized controlled trials. Improved outcomes most commonly reported were efficiency of care (64% [49 of 76 outcomes]), effectiveness of care (60% [57 of 95 outcomes]), and patient or family centeredness (53% [10 of 19 outcomes). Outcomes less commonly evaluated were patient safety (9% [3 of 33 programs]), timeliness of care (6% [2 of 33 programs]), and equity of care (0%). Randomized controlled trials occurred more frequently in studies evaluating categorical vs noncategorical disease populations (11 of 17 [65%] vs 2 of 16 [17%], P = .008). CONCLUSIONS: Although positive, the evidence supporting comprehensive hospital-based programs for children with special health care needs is restricted primarily to nonexperimental studies of children with categorical diseases and is limited by inadequate outcome measures. Additional high-quality evidence with appropriate comparative groups and broad outcomes is necessary to justify continued development and growth of programs for broad groups of children with special health care needs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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".