Extension for Community Healthcare Outcomes-Palliative Care in Africa and Quality of Life, Symptoms, Patient Experience, and Caregiver Distress Among Patients With Cancer
Bibliographic record
Abstract
PURPOSE In this study, we aimed to evaluate the association between the Extension for Community Healthcare Outcomes-Palliative Care (ECHO-PC; ECHO Model–Based comprehensive educational and telementoring intervention) for health care professionals (HCPs) and change in patient-reported quality-of-life (QOL; Functional Assessment of Cancer Therapy-General [FACT-G]) among patients with advanced cancer. We also examined the association between ECHO-PC and changes in symptom distress (Edmonton Symptom Assessment Scale [ESAS]), patient experience and satisfaction, and caregiver distress scores. METHODS ECHO-PC Clinic sessions were conducted twice a month for 1 year by an interdisciplinary team of PC clinicians at the MD Anderson Cancer Center, with participation of experts in PC in sub-Saharan Africa, using standardized curriculum on the basis of PC needs in the region. Study participants included palliative HCPs from ECHO participating programs in Kenya, Nigeria, Ghana, and South Africa. HCPs, their patients, and caregivers were assessed at baseline, 3, 6, 9, and 12 months of the study for QOL (FACT-G), ESAS-Symptom Distress Score (prorated) (SDS), patient experience, satisfaction (FAMCARE-P-16-patient), and caregiver distress (FAMCARE-caregiver). RESULTS Two hundred seventy patients completed the assessments. Fifty-eight percent was female, the mean age was 56 years, and most common cancer type was breast cancer (24.3%). Multivariate generalized linear mixed model analysis found that ECHO-PC intervention was associated with significant improvement in QOL and symptom distress (FACT-G total score, P = .0433; FACT-G physical well-being, P < .013; FACT-G emotional well-being, P = .0232, and ESAS-SDS, P < .0001). No significant changes were found in patient experience, satisfaction, and caregiver distress scores. CONCLUSION Our preliminary study found that the ECHO-PC intervention was significantly associated with improvement in patient outcomes including QOL and symptom distress scores. Further studies are needed.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".