AUTHOR=Ágh Tamás , Garuolienė Kristina , Granas Anne Gerd , Gregório João , Aksoy Nilay , Khanyk Nataliia , Ortner Hadžiabdić Maja , Kardas Przemyslaw , European Network to Advance Best Practices and Technology on Medication Adherence (ENABLE) Collaborators , Aarnio Emma , Ackova Darinka Gorgieva , Aleksic Vesna Vujic , Bago Martina , Barzdins Juris , Belhassen Manon , Blankart Katharina , Cordina Maria A. , Culig Josip , Dalma Erdősi , Ghiciuc Cristina , Fernández Francisca Leiva , Fonseca Pilar Barnestein , Jonsdottir Freyja , Kamberi Fatjona , Kostalova Barbora , Makovec Urška Nabergoj , Marinković Valentina , Menditto Enrica , Mevsim Vildan , Mitkova Zornista , Natalka Herbolka , Petrou Christos , Petrou Panagiotis , Petrova Guenka , Popovic Mitar , Smilkov Katarina , Tsiligianni Ioanna , Voirol Marie Paule Schneider , Volmer Daisy , Wawruch Martin TITLE=Identifying and presenting key country-specific indicators related to medication adherence: a comprehensive study across European countries JOURNAL=Frontiers in Pharmacology VOLUME=15 YEAR=2024 URL=https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2024.1390629 DOI=10.3389/fphar.2024.1390629 ISSN=1663-9812 ABSTRACT=
This study tackles the critical challenge of medication non-adherence in healthcare by pinpointing indicators related to medication adherence (IRMAs) across 39 European countries and Israel. Utilizing a structured expert survey methodology within the European Network to Advance Best Practices and Technology on Medication Adherence (ENABLE; COST Action CA19132), our research identified key country-specific IRMAs and collected data on these indicators to understand the multifaceted nature of medication adherence. The research was conducted in two phases: firstly, defining key IRMAs through a two-round expert survey, and secondly, gathering country-specific data on these IRMAs through literature reviews and additional expert surveys. The study revealed a diverse range of 26 top-ranked IRMAs, including six related to country characteristics, four to social/economic factors, three each to therapy-related and patient-related factors, one to condition-related factors, and nine to healthcare system-related factors. The availability of country-specific data on these IRMAs varied among the countries, highlighting the need for more comprehensive data collection and research. The findings from this study not only underscore the complexity of predicting medication adherence but also lay the groundwork for developing targeted, country-specific interventions to improve adherence. Moreover, this research offers valuable insights for policymakers, highlighting the importance of understanding the multifaceted nature of medication adherence and offering a valuable resource in formulating targeted health policies to enhance health outcomes and reduce the economic burden associated with medication non-adherence.