Stanford University & DiabetesWise
Diabetes & Endocrinology
Korey Hood, PhD is a Professor and Staff Psychologist at Stanford University School of Medicine. Professor Hood directs clinical research aimed at improving glycemic and patient reported outcomes through the use of behavioral and technologic interventions. DiabetesWise is a platform created by Professor Hood and his team and aims to increase device awareness and uptake. In addition to clinical research, Professor Hood provides clinical care to people with diabetes and their families, is an active mentor of early career faculty, and has served various advocacy roles with the ADA and JDRF. Much of the work carried out by Professor Hood is funded by the Helmsley Charitable Trust.
Moderator of 1 Session
PARALLEL SESSION
Session Type
PARALLEL SESSION
Date
Thu, 23.02.2023
Room
Hall A1
Session Time
13:00 - 14:30
Session Icon
Presenter of 3 Presentations
Advancing access to and choice of diabetes devices by DiabetesWise (ID 1183)
Presenter
Lecture Time
14:50 - 15:00
Session Type
TECH FAIR PRESENTATIONS
Date
Wed, 22.02.2023
Session Time
14:30 - 17:10
Room
Virtual Hall
Advancing access to and choice of diabetes devices by DiabetesWise (ID 1062)
Presenter
Lecture Time
10:10 - 10:20
Session Type
TECH FAIR PRESENTATIONS
Date
Thu, 23.02.2023
Session Time
10:00 - 10:30
Room
Exhibition Area/Tech Fair
IS008 - Patient reported outcomes in closed loop studies (ID 182)
Presenter
Lecture Time
14:00 - 14:20
Session Name
Session Type
PARALLEL SESSION
Date
Thu, 23.02.2023
Session Time
13:00 - 14:30
Room
Hall A1
Session Icon
Abstract
Abstract Body
Closed loop (CL) automated insulin delivery leads to glycemic improvements yet there are mixed findings with regard to patient reported outcomes (PROs). PROs refer to the subjective experience of the person using CL and often include topics such as quality of life, satisfaction, and diabetes distress. Common methods for obtaining PROs are validated surveys and structured interviews or focus groups. This presentation covers the results from CL studies and real-world publications with regard to PROs, why there are mixed findings (e.g., some studies show PROs improvements while others show no change), and how we can improve methods for PROs data collection in clinics and future studies.