CODETECT Study: Digital Platform to Detect Undiagnosed Chronic Conditions in Hospitalised Patients — Implications for Australian Healthcare

References

1. 1.Australian Institute of Health and Welfare. (2023). Diabetes in Australia. AIHW Report. https://doi.org/10.25816/169a-2x89
2. 2.Beagley, J., Guariguata, L., Weil, C., & Motala, A. A. (2014). Global estimates of undiagnosed diabetes in adults. Diabetes Research and Clinical Practice, 103(2), 150-160. https://doi.org/10.1016/j.diabres.2013.11.001
3. 3.Cosentino, F., Grant, P. J., Aboyans, V., Bailey, C. J., Ceriello, A., Delgado, V., ... & Valensi, P. (2020). 2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. European Heart Journal, 41(2), 255-323. https://doi.org/10.1093/eurheartj/ehz486
4. 4.Hippisley-Cox, J., & Coupland, C. (2017). Development and validation of QDiabetes-2018 risk prediction algorithm to estimate future risk of type 2 diabetes: cohort study. BMJ, 359, j5019. https://doi.org/10.1136/bmj.j5019
5. 5.University of Oxford. (2024). Unrecognised Comorbidity Detection in Hospitalised Patients (CODETECT). ClinicalTrials.gov. NCT06881797. https://clinicaltrials.gov/study/NCT06881797