Electronic medication monitors help determine adherence subgroups in asthma - 28/07/20
, Leanne Kaye b
, William C. Anderson a
, Rahul Gondalia b
, Ben Theye b, Stanley J. Szefler a
, David A. Stempel b 
Abstract |
Non-adherence to treatment regimens in asthma is well described, however less is known about temporal patterns of medication use. We monitored 20 weeks of controller medication use and analyzed these patterns in patients ≥4 years of age with self-reported asthma enrolled in a digital health program. At baseline, approximately 20%, 28%, 25% and 27% of patients had optimal, moderate, sub-optimal and poor adherence, respectively. Medication adherence decreased in all groups in this study. The largest absolute decreases in adherence (−32%) were observed for moderately adherent patients. Certain adherence patterns which demonstrated greater declines, that, once identified, could be intervened upon.
Il testo completo di questo articolo è disponibile in PDF.Highlights |
• | Following cohort adherence trajectories over time based on initial adherence is possible. |
• | Adherence declined in all adherence groups, with the largest relative decreases in the suboptimally adherent groups. |
• | Rescue use also declined in all groups. |
• | Electronic Medication Monitoring is a tool that may be useful in promoting patient driven care. |
• | Further study is needed on how to longitudinally engage patients. |
Keywords : Electronic medication monitoring, Adherence, Asthma
Mappa
Vol 164
Articolo 105914- aprile 2020 Ritorno al numeroBenvenuto su EM|consulte, il riferimento dei professionisti della salute.
L'accesso al testo integrale di questo articolo richiede un abbonamento.
Già abbonato a @@106933@@ rivista ?
