Evidence map›Paper›PMID 39431154›Full record

ArticleFrontiers in pharmacology2024

Identifying and presenting key country-specific indicators related to medication adherence: a comprehensive study across European countries.

Tamás Ágh, Kristina Garuolienė, Anne Gerd Granas, João Gregório, Nilay Aksoy, Nataliia Khanyk, Maja Ortner Hadžiabdić, Przemyslaw Kardas, European Network to Advance Best Practices and Technology on Medication Adherence (ENABLE) Collaborators

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Hypertensive patient's journey in Poland.BMC health services research · 2025
    Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Tamás ÁghSyreon Research Institute, Budapest, Hungary.
Kristina GaruolienėPharmacy Center, Institute of Biomedical Science, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Anne Gerd GranasSection for Pharmaceutics and Social Pharmacy, Department of Pharmacy, University of Oslo, Oslo, Norway.
João GregórioCBIOS-Universidade Lusófona's Research Center for Biosciences and Health Technologies, Lisboa, Portugal.
Nilay AksoyDepartment of Clinical Pharmacy, Faculty of Pharmacy, Altinbas University, Istanbul, Türkiye.
Nataliia KhanykDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
Maja Ortner HadžiabdićDepartment of Applied Pharmacy, Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia.
Przemyslaw KardasDepartment of Family Medicine, Medication Adherence Research Centre, Medical University of Lodz, Lodz, Poland.
European Network to Advance Best Practices and Technology on Medication Adherence (ENABLE) Collaborators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Europehealth policyindicatormedication adherencepersistence

Identifiers

PMID39431154
PMCPMC11487323

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.