Open Access<p>The SPUR Model: A Framework for Considering Patient Behavior</p>
Author(s) -
Kevin Dolgin
Publication year - 2020
Publication title -
patient preference and adherence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.885
H-Index - 48
ISSN - 1177-889X
DOI - 10.2147/ppa.s237778
Subject(s) - personalization , theory of planned behavior , profiling (computer programming) , psychological intervention , medicine , applied psychology , control (management) , computer science , psychology , artificial intelligence , nursing , world wide web , operating system
Medication nonadherence is a global problem that requires urgent attention. Roughly half of all drugs that are prescribed for chronic treatments are not taken by the patients in question. Initiatives designed to support patients and help them modify their behavior are enhanced by personalization, and a number of profiling tools exist to help customize such interventions. Most of these tools were originally designed as paper-based questionnaires, but the growth of digital adherence technologies (DATs) illuminate the need for the development of digital profiling systems that can interact with fully automated patient interfaces.