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Taxonomy of Health IT and Medication Adherence

Mrosek, Rafael; Dehling, Tobias; Sunyaev, Ali

Background: Patients’ failure to take medication as prescribed – poor medication adherence – is a well-known issue.Health information technology (IT) presents itself as a promising approach to tackle poor medication adherence.
Objectives: To deepen the understanding of what features health IT offers and how these address poor medication adherence, we examine existing health IT targeting medication adherence.
Methods: Building on extant literature, we follow a systematic approach for taxonomy development in information systems to build a taxonomy of health IT focusing on medication adherence.
Results: Health IT offers various promising ways to address poor medication adherence. Overall, we map 16 different types of health IT offerings on 7 different dimensions. The principal results are that health IT focusing on medication adherence should be developed in a patient-centered way because medication adherence is predominantly a matter of the patient and that mobile technologies are a seminal driver for health IT offerings focusing on medication adherence. Finally, the taxonomy identifies the core impacts of health IT on medication adherence.
Conclusion: The taxonomy establishes an overview of current health IT offerings targeting Medication adherence, offers insights into untapped potential for health IT, and yields valuable insights for health policy and technology. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000091301
Veröffentlicht am 07.03.2019
DOI: 10.1016/j.hlpt.2015.04.003
Zitationen: 3
Web of Science
Zitationen: 2
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Zeitschriftenaufsatz
Jahr 2015
Sprache Englisch
Identifikator ISSN: 2211-8837, 2211-8845
KITopen-ID: 1000091301
Erschienen in Health policy and technology
Band 4
Heft 3
Seiten 215-224
Schlagworte Health IT, Medication adherence, Taxonomy, Non-adherence factors, eHealth, Medication compliance
Nachgewiesen in Web of Science
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