Predicting and understanding non-adherence in chronic disease: cross-cohort validation and structural equation modeling of the SPUR 6/24 tool
- DOI
- 10.1038/s41598-025-17866-6
- Published
- 2025-09-26
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-17866-6,
title = {Predicting and understanding non-adherence in chronic disease: cross-cohort validation and structural equation modeling of the SPUR 6/24 tool},
author = {Kevin Dolgin and Reem Kayyali and Joshua Wells and Chao Wang},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-17866-6},
url = {https://doi.org/10.1038/s41598-025-17866-6}
}RIS
TY - JOUR TI - Predicting and understanding non-adherence in chronic disease: cross-cohort validation and structural equation modeling of the SPUR 6/24 tool AU - Kevin Dolgin AU - Reem Kayyali AU - Joshua Wells AU - Chao Wang PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-17866-6 UR - https://doi.org/10.1038/s41598-025-17866-6 ER -
APA
Dolgin, K., Kayyali, R., Wells, J., & Wang, C. (2025). Predicting and understanding non-adherence in chronic disease: cross-cohort validation and structural equation modeling of the SPUR 6/24 tool. Scientific Reports. https://doi.org/10.1038/s41598-025-17866-6
Source records
- crossref · retrieved 2026-09-25T15:29:47.890Z