AdhereR

AdhereR computes medication adherence metrics from Electronic Healthcare Data (EHD) to produce standardized adherence estimates and visualize individual medication histories and patterns.

Key Features:

• Standardization and Transparency: Implements a comprehensive suite of algorithms and operationalizations that adhere to established adherence guidelines to ensure consistent and reproducible estimates.
• EHD Processing and Adherence Calculation: Processes Electronic Healthcare Data (EHD) to compute adherence estimates from medication dispensing and prescription records.
• Integration with R: Provided as an R package with functions for data processing, adherence computation, and analysis within the R statistical environment.
• Visualization of Medication Histories: Generates visualizations that depict individual medication histories and temporal adherence patterns.
• Flexibility and Adaptability: Supports a range of analysis choices and operational definitions that can be tailored to different medication types and health conditions.

Scientific Applications:

• Estimate Adherence: Produce quantitative adherence estimates to evaluate treatment adherence and its impact on outcomes.
• Support Clinical Practice: Provide adherence data that can be integrated into Clinical Decision Support Systems (CDSS) to inform medication-management strategies.
• Facilitate Research: Standardize adherence measurement methods to enable comparative studies and evidence synthesis across clinical settings.

Methodology:

AdhereR applies R functions consistent with established adherence guidelines to process Electronic Healthcare Data (EHD), compute adherence estimates, and generate visualizations of medication histories; example analyses include 2-year records of 100 patients.