Abstract: SA-PO854
Utilising Mobile and Web-Based Technology for Capturing Patient-Specific Information: Methods from the DISCOVER CKD Program
Session Information
- CKD: Socioeconomic Context and Mobile Apps
November 09, 2019 | Location: Exhibit Hall, Walter E. Washington Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2101 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention
Authors
- James, Glen, AstraZeneca, Cambridge, United Kingdom
- Wei, Jenny, AstraZeneca, Cambridge, United Kingdom
- Wittbrodt, Eric T., AstraZeneca, Cambridge, United Kingdom
- Moreno Quinn, Carol Patricia, AstraZeneca, Cambridge, United Kingdom
- Allum, Alaster, AstraZeneca, Cambridge, United Kingdom
- Hedman, Katarina, AstraZeneca, Cambridge, United Kingdom
- Chen, Hungta (tony), AstraZeneca, Cambridge, United Kingdom
- Pascual, Esther, AstraZeneca, Cambridge, United Kingdom
- Holmqvist, Björn, AstraZeneca, Cambridge, United Kingdom
- Fenici, Peter, AstraZeneca, Cambridge, United Kingdom
- Carrero, Juan Jesus, Karolinska Institutet, Stockholm, Sweden
- Curhan, Gary C., Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States
- Fishbane, Steven, Northwell Health, Commack, New York, United States
- L Heerspink, Hiddo Jan, University Medical Center Groningen, Groningen, Netherlands
- Kanda, Eiichiro, Kawasaki Medical School, Kurashiki, OKAYAMA, Japan
- Kashihara, Naoki, Kawasaki Medical School, Kurashiki, OKAYAMA, Japan
- Kosiborod, Mikhail, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, United States
- Carolyn, Lam Su ping, National Heart Centre Singapore, Singapore, Singapore
- Pecoits-Filho, Roberto, Arbor Research Collaborative for Health, Ann Arbor, Michigan, United States
- Pollock, Carol A., The University of Sydney, St. Leonards, New South Wales, Australia
- Stenvinkel, Peter, Karolinska University Hospital Huddinge , Stockholm, Sweden
- Wheeler, David C., University College London, London, LOndon, United Kingdom
Background
Chronic kidney disease (CKD) is a global health problem associated with cardiovascular complications, impaired health-related quality of life (HRQoL) and high mortality. New ways of capturing patient experiences and burden of disease in settings outside of the clinic through mobile or web-based technology are becoming more widely used, but not within CKD real-world data.
Methods
DISCOVER CKD is an enriched hybrid observational study utilising a novel cloud-based IT platform to integrate retrospective and prospective data from patients with estimated glomerular filtration rate (eGFR) <75 ml/min/1.73 m2 through to end stage kidney disease from the UK, US, Italy, Denmark, Sweden, China and Japan. Prospective data will be captured over a 3-year period from >1,000 CKD patients. Data collected by validated instruments including HRQoL (SF-36), physical activity (RAPA), work productivity (WPAI), diet (food diary), and other patient-reported outcomes will be captured in a bespoke mobile/web-based application to be completed by the patient before, during or after their routine clinical visit. The application will be available, validated and user-tested in multiple languages.
Results
Capturing patient-reported information outside of the clinic setting provides an innovative patient-centric approach for understanding the burden and journey of CKD from a patients’ perspective. Initial results are anticipated in 2020.
Conclusion
Utilising mobile/web-based technology to collect patient experiences has the potential to increase the understanding of a disease, with easier communication, minimising burden of data collection in the clinic from a patient, physician and eCRF perspective while improving the consistency and validity of data that patients enter.
Funding
- Commercial Support – AstraZeneca