Non-Adherence Tree Analysis (NATA)-An adherence improvement framework: A COVID-19 case study.

ABSTRACT: Poor medication adherence is a global phenomenon that has received a significant amount of research attention yet remains largely unsolved. Medication non-adherence can blur drug efficacy results in clinical trials, lead to substantial financial losses, increase the risk of relapse and hospitalisation, or lead to death. The most common methods of measuring adherence are post-treatment measures; that is, adherence is usually measured after the treatment has begun. What the authors are proposing in this multidisciplinary study is a new technique for predicting the factors that are likely to cause non-adherence before or during medication treatment, illustrated in the context of potential non-adherence to COVID-19 antiviral medication. Fault Tree Analysis (FTA), allows system analysts to dete

SUBMITTER: Edifor EE 

PROVIDER: S-EPMC7895356 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature