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Published on: September 18, 2021
Dementia Care Research and Psychosocial Factors
Jose Soria-Lopez1, Lena Bueno1, Jannah Gaudia1
1The Neuron Clinic, San Diego, CA, USA.
Implementing Key Performance Indicators (KPIs) in community clinics enables effective delivery of anti-amyloid therapies for early Alzheimer's Disease (AD). Monitoring these KPIs ensures optimized treatment outcomes and broader access to disease-modifying treatments.
Area of Science:
- Neurology
- Pharmacology
- Clinical Trials
Background:
- Disease-modifying therapies, including anti-amyloid monoclonal antibodies, offer new treatment avenues for early Alzheimer's Disease (AD).
- Effective implementation in community clinics necessitates careful patient selection, timely access, and adverse event monitoring.
- Key Performance Indicators (KPIs) are essential for optimizing the delivery and outcomes of these novel AD treatments in real-world settings.
Purpose of the Study:
- To develop and evaluate a clinical program for diagnosing and treating early AD within community neurology clinics.
- To assess the feasibility and safety of administering anti-amyloid monoclonal antibody therapy in community settings.
- To identify and analyze Key Performance Indicators (KPIs) for guiding clinical practice and standardizing care.
Main Methods:
- A clinical program was established in Southern California for early AD diagnosis and treatment.
- Patients with confirmed early AD received anti-amyloid monoclonal antibody therapy via in-clinic or external infusion centers.
- Key Performance Indicators (KPIs) were identified, and demographic/clinical data were analyzed using non-parametric statistics and regression analyses.
Main Results:
- A total of 506 patients were enrolled; 108 received treatment, 140 were pending, and 258 were disqualified.
- Key metrics included Negative AD Biomarker Rate, Treatment Rate, Door-to-Treatment Time, Dropout Rate, and Amyloid-Related Imaging Abnormalities (ARIA) rates.
- Evaluation and treatment of early AD with anti-amyloid therapy were found to be feasible and safe in community neurology clinics.
Conclusions:
- Streamlined triaging, simplified care coordination, and rigorous quality/safety monitoring are critical for successful AD treatment programs.
- Monitoring specific KPIs (Negative AD Biomarker Rate, Treatment Rate, Door-to-Treatment time, Dropout Rate, ARIA rates) aids in standardizing and scaling care.
- These KPIs provide a structured framework for optimizing treatment outcomes and expanding access to disease-modifying therapies for Alzheimer's Disease.
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