A novel statistical method for assessing effective adherence to medication and calculating optimal drug dosages.

ABSTRACT:

Objective

We derive a novel model-based metric for effective adherence to medication, and validate it using data from the INhaler Compliance Assessment device (INCATM). This technique employs dose timing data to estimate the threshold drug concentration needed to maintain optimal health.

Methods

The parameters of the model are optimised against patient outcome data using maximum likelihood methods. The model is fitted and validated by secondary analysis of two independent datasets from two remote-monitoring studies of adherence, conducted through clinical research centres of 5 Irish hospitals. Training data came from a cohort of asthma patients (~ 47,000 samples from 218 patients). Validation data is from a cohort of 204 patients with COPD recorded between 2014 and 2016.

SUBMITTER: Greene G 

PROVIDER: S-EPMC5909911 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature