Effect of pediatric palliative care programs on health care resource utilization and costs among children with life-threatening conditions: a systematic review of comparative studies
Bibliographic record
Abstract
BACKGROUND: Pediatric palliative care is a relatively new and evolving field, and the cost of pediatric palliative care programs is unclear. We conducted a systematic review to compare inpatient health care utilization and costs among children with life-threatening conditions who have accessed a pediatric palliative care program and those who have not. METHODS: We searched MEDLINE, Embase, CINAHL and LILACS databases from January 2000 to July 2013, as well as the grey literature, for experimental or observational studies that compared pediatric palliative care programs with usual care. Outcomes of interest included hospital admissions, length of stay and health care costs. RESULTS: Of the 5193 records identified, we reviewed 109 in full and included 11 in our study. The overall quality of the studies was moderate to low. We observed mixed results for all outcomes. Compared with patients receiving usual care, fewer patients in the palliative care group had hospital admissions and fewer of those with cancer had planned hospital admissions. In contrast, no effects were observed regarding the overall number of hospital, emergency or outpatient admissions. Conflicting results were observed with regards to critical care utilization. Studies showed a trend toward shorter lengths of stay in hospital in the palliative care group. However, a single study that also considered inpatient time in hospice facilities found an increase in total length of stay, which showed a shift in the setting of health care utilization. We observed no conclusive trend in the effects on cost. INTERPRETATION: Evidence suggests that pediatric palliative care programs may result in a shift of utilization to other health care settings beyond hospital care. These settings should be considered when measuring resource utilization and costs.
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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 | 0.011 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.009 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".