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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
Published on: April 12, 2021
Association Between a Co-Designed Dashboard and Use of Costly Health Services in Patients With Chronic Kidney Disease
Saki Amagai1, Alexandra Harris1, Nisha Mohindra1
1Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Background:
The US health care system faces escalating costs, increasing emphasis on patient autonomy, and a regulatory shift toward patient-centered care and patient-reported outcomes (PROs). Leveraging PROs to support shared decision-making has the potential to improve outcomes and reduce health care use for patients with advanced chronic conditions.
Objective:
This study aims to evaluate the impact of a PRO-based clinical dashboard on the use of costly health services among patients with advanced cancer and chronic kidney disease (CKD).
Methods:
We conducted a quasi-experimental, propensity score-weighted, difference-in-differences analysis using routinely collected data (June 2020 to January 2022) from a large US academic health system. Dashboard users were compared with contemporaneous nonexposed patients matched on clinical criteria. The primary outcomes were unplanned all-cause hospital admissions, potentially avoidable emergency department visits, excess days in acute care within 30 days of discharge, and 7-day readmissions. Cancer-specific secondary outcomes included acute encounters during outpatient chemotherapy, oncology triage use, advance directive completion, and hospice use. CKD-specific outcomes were CKD-related acute care use and disease progression.
Results:
In the advanced cancer cohort (dashboard users: n=284; dashboard nonusers: n=917), dashboard use was associated with significantly fewer chemotherapy-related emergency department or hospital encounters (ratio-in-odds ratios 0.35, 95% CI 0.16-0.75) and a nonsignificant 1.7-percentage point reduction in unplanned admissions (β=-0.017, 95% CI -0.107 to 0.072). Using Firth penalized logistic regression to reduce small sample bias, dashboard use was also associated with significantly higher odds of 7-day readmissions (ratio-in-odds ratios 8.58, 95% CI 2.28-32.32). Among readmissions in the dashboard user group, most (13/14, 93%) were scheduled by clinicians. Excess days in acute care increased by 4 percentage points (β=0.040, 95% CI -0.001 to 0.089). Advance directive completion declined significantly (β=-0.009, 95% CI -0.039 to 0.020). In the CKD cohort (dashboard users: n=365; dashboard nonusers: n=2137), no significant differences were observed for any primary or CKD-specific outcome.
Conclusions:
In routine oncology practice, a PRO dashboard was associated with fewer acute care encounters during chemotherapy but more planned early readmissions. The dashboard had no measurable effect on patients with CKD. These disease-specific mixed results highlight the need to tailor dashboards to the clinical context and embed them within workflows that can act on real-time PRO information.
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