Medication adherence for patients with mental illness.
Medication adherence has been studied for some time; however most research has focused on able-bodied patients or the elderly living independently. What has not been studied nearly as much is medication adherence for people with psychiatric or mental illnesses. In this paper, we present a framework that includes the specific challenges in medication adherence for patients with mental illness, algorithms and protocols for evaluating adherence, and some on-going work in developing effective solutions. The architectural framework and associated algorithms leverage the context-aware computing capabilities available on many mobile devices. The system is designed to be able to collect and offer situation-aware information on medication use and adherence for healthcare professionals and other designated persons.
CIS Department, Georgia State University, Atlanta, GA 30302, USA. uvarshney@gsu.edu
Upkar
U
Varshney
Ron
R
Vetter
D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D006801:Humans; D055118:Medication Adherence; D001523:Mental Disorders / Q000188:drug therapy*; D011619:Psychotropic Drugs / Q000008:administration & dosage*; D017010:Reminder Systems; D017216:Telemedicine / Q000379:methods*; D014584:User-Computer Interface
D011619:Psychotropic Drugs