Patient‐reported outcomes and treatment adherence in type 2 diabetes using natural language processing: Wave 8 of the Observational International Diabetes Management Practices Study

Autor: Juliana CN Chan, Jean Claude Mbanya, Jean‐Marc Chantelot, Marina Shestakova, Ambady Ramachandran, Hasan Ilkova, Lucille Deplante, Melissa Rollot, Lydie Melas‐Melt, Juan Jose Gagliardino, Pablo Aschner
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Diabetes Investigation, Vol 15, Iss 9, Pp 1306-1316 (2024)
Druh dokumentu: article
ISSN: 2040-1124
2040-1116
63047268
DOI: 10.1111/jdi.14228
Popis: Abstract Aims/Introduction We analyzed patient‐reported outcomes of people with type 2 diabetes to better understand perceptions and experiences contributing to treatment adherence. Materials and Methods In the ongoing International Diabetes Management Practices Study, we collected patient‐reported outcomes data from structured questionnaires (chronic treatment acceptance questionnaire and Diabetes Self‐Management Questionnaire) and free‐text answers to open‐ended questions to assess perceptions of treatment value and side‐effects, as well as barriers to, and enablers for, adherence and self‐management. Free‐text answers were analyzed by natural language processing. Results In 2018–2020, we recruited 2,475 patients with type 2 diabetes (43.3% insulin‐treated, glycated hemoglobin (HbA1c) 8.0 ± 1.8%; 30.9% with HbA1c
Databáze: Directory of Open Access Journals
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