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This paper is in the following e-collection/theme issue:

Public Health Data Analytics (97) Digital Health Reporting Standards, Quality and Transparency in e-Research (150) Medication Adherence (153) Advanced Data Analytics in eHealth (236) Pharmacovigilance (181) ePrescribing and Innovations in Pharmacies (89) Open Source and Data for Public Health (35)

Published on in Vol 18 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83465, first published .
A Comprehensive Approach to Days’ Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study

A Comprehensive Approach to Days’ Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study

A Comprehensive Approach to Days’ Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study

Authors of this article:

Maria Malk1 Author Orcid Image ;   Kerli Mooses1 Author Orcid Image ;   Marek Oja1 Author Orcid Image ;   Johannes Holm1 Author Orcid Image ;   Hanna Keidong1 Author Orcid Image ;   Nikita Umov2 Author Orcid Image ;   Sirli Tamm1 Author Orcid Image ;   Sulev Reisberg1 Author Orcid Image ;   Jaak Vilo1 Author Orcid Image ;   Raivo Kolde1 Author Orcid Image
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Journals

  1. Mooses K, Oja M, Malk M, Loorents H, Pajusalu M, Umov N, Tamm S, Holm J, Keidong H, Tillmann T, Reisberg S, Vilo J, Kolde R. Systematic evaluation of medication adherence determinants across 137 active substances on population-level real-world health data. Communications Medicine 2026 View