📉 Older cancer pts: fewer ED visits with lay-led monitoring
📉 Older cancer pts: fewer ED visits with lay-led monitoring
In a multisite randomized clinical trial of 416 Medicare Advantage beneficiaries age ≥75 with newly diagnosed, recurrent, or progressive cancer, a lay health worker–led telephone symptom-monitoring program cut any ED use at 12 months to 30.5% vs 47.7% with usual care (aOR 0.47). Hospitalizations also fell to 18.5% vs 39.8% (aOR 0.32) in the trial (ClinicalTrials.gov NCT04463992).
Why It Matters To Your Practice
Older adults with cancer often have undertreated symptoms that escalate into ED visits and admissions.
This intervention used lay health workers to collect Edmonton Symptom Assessment System scores by phone and escalated concerning symptoms to advanced practice practitioners—matching real-world oncology workflows.
The study population (median age 82; 41.1% stage 4 disease) mirrors many high-risk panels seen in oncology and geriatrics.
Clinical Benefits
Fewer ED visits: 61/200 (30.5%) vs 103/216 (47.7%) had ≥1 ED visit over 12 months (aOR 0.47; 95% CI, 0.32-0.71).
Fewer hospitalizations: 37/200 (18.5%) vs 86/216 (39.8%) had ≥1 hospitalization (aOR 0.32; 95% CI, 0.20-0.51).
Lower costs: mean total costs were ~$12,000 lower per participant vs usual care (P = .01).
Managing Risks
Set clear escalation thresholds and standing orders: symptoms rated ≥4 or rising by ≥2 points triggered APP review in the study.
Plan for access barriers (hearing impairment, cognitive decline, language needs) that can affect phone-based symptom capture; use caregiver involvement and interpreter workflows.
Avoid over-triage: pair lay-led screening with APP-guided protocols to direct patients to self-management, urgent clinic evaluation, palliative care, or ED based on red flags.
The Bottom Line
For older adults with cancer (malignant neoplasm), lay health worker–led symptom assessments with APP escalation were associated with materially fewer ED visits and hospitalizations at 12 months vs usual care.
This is a scalable model for oncology practices looking to reduce acute care utilization without relying solely on clinician-led monitoring.