Computerized adaptive technology for the assessment of HRQOL of PD and CKD patients.

Fredric O FinkelsteinMonica CiminiSusan H FinkelsteinAlan S Kliger

Published in: Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis (2020)

This study was designed as a pilot study to see whether electronic patient-reported outcome measures using computer adaptive technology (CAT) could be successfully implemented in clinics caring for chronic kidney disease (CKD) and peritoneal dialysis (PD) patients. The results demonstrate the feasibility of using CAT on an iPad to assess the symptom burden and health-related quality of life of both PD and CKD patients.

Keyphrases

end stage renal disease
chronic kidney disease
peritoneal dialysis
patient reported
ejection fraction
newly diagnosed
prognostic factors
primary care
machine learning
deep learning
risk factors