Does inpatient palliative care consultation impact outcomes following hospital discharge? A narrative systematic review
Bibliographic record
Abstract
BACKGROUND: While most patients desire to die at home or in a community-based hospice, the transition from hospital to community settings often lacks streamlined coordination of care to ensure that adequate support is provided in the preferred care setting. The impact of hospital-based palliative care consultations on post-discharge care and outcomes has not been extensively studied. AIM: The aim of this study was to appraise available research on the impact of inpatient palliative care consultations on transitions from hospital to community settings. DESIGN: We conducted a narrative systematic review and used the Effective Public Health Practice Project tool to appraise the quality of selected studies. Studies were included if they assessed the transition from hospital to community and examined outcomes after an inpatient palliative care consultation. A protocol for this study was registered and published in PROSPERO, Centre for Reviews and Dissemination (ID: CRD42018094924). DATA SOURCES: We searched for quantitative studies indexed in PubMED, CINAHL and Cochrane and published between 1 January 1 2000 and 11 March 2018. RESULTS: Our search retrieved 2749 articles. From these, 123 articles were full-text screened and 15 studies met our inclusion criteria. Studies reported that inpatient palliative care consultations are associated with high rates of discharge to community settings, greater provision of services post-discharge, improved coordination and lower rates of rehospitalization. CONCLUSION: Existing evidence suggest that inpatient palliative care consultations have a positive impact on patient outcomes and transitions to the community, demonstrating the potential to improve patient quality of life and relieve overburdened acute care systems.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".