William H Polonsky1,2, Addie L Fortmann3. 1. Behavioral Diabetes Institute, San Diego, CA, USA. 2. Department of Medicine, University of California, San Diego, CA, USA. 3. Scripps Whittier Diabetes Institute, La Jolla, CA, USA.
Abstract
BACKGROUND: To examine caregivers' experiences with real-time continuous glucose monitoring (RT-CGM) data sharing and its impact on quality of life (QoL) and health outcomes. METHODS: Parents of children with type 1 diabetes (T1D) (N = 303) and spouses/partners of T1D adults (N = 212) using the Dexcom G5 Mobile or G6 RT-CGM system and who were actively following their T1Ds' RT-CGM data completed a survey examining their perceived value of data sharing, the impact of sharing on their own QoL and their child/partner's health, and how they used RT-CGM data to support their T1Ds' diabetes management. Regression analyses examined whether their actions were linked to reported changes in QoL and health outcomes. RESULTS: Respondents were predominantly non-Hispanic White (91.1% parents; 88.7% partners), female (78.2% parents; 54.7% partners), and college-educated (65.3% parents; 61.8% partners). The majority reported that data sharing had enhanced hypoglycemic confidence (97.7% parents; 98.1% partners), overall well-being (60.4% parents; 63.2% partners), and sleep quality (78.0% parents; 61.3% partners). Of note, three positive caregiver actions were broadly consistent and significant predictors of QoL and health benefits for both parents and partners: celebrating success related to glycemic control, providing encouragement when glycemic control is challenging, and teamwork discussions about how the caregiver should respond to out-of-range values. CONCLUSIONS: RT-CGM data sharing was associated with a range of QoL and health benefits for caregivers. Degree of benefits was influenced by the collaborative actions taken by caregivers to support their child's or partner's diabetes management. To determine the most effective strategies for collaborative data sharing, longitudinal trials are needed.
BACKGROUND: To examine caregivers' experiences with real-time continuous glucose monitoring (RT-CGM) data sharing and its impact on quality of life (QoL) and health outcomes. METHODS: Parents of children with type 1 diabetes (T1D) (N = 303) and spouses/partners of T1D adults (N = 212) using the Dexcom G5 Mobile or G6 RT-CGM system and who were actively following their T1Ds' RT-CGM data completed a survey examining their perceived value of data sharing, the impact of sharing on their own QoL and their child/partner's health, and how they used RT-CGM data to support their T1Ds' diabetes management. Regression analyses examined whether their actions were linked to reported changes in QoL and health outcomes. RESULTS: Respondents were predominantly non-Hispanic White (91.1% parents; 88.7% partners), female (78.2% parents; 54.7% partners), and college-educated (65.3% parents; 61.8% partners). The majority reported that data sharing had enhanced hypoglycemic confidence (97.7% parents; 98.1% partners), overall well-being (60.4% parents; 63.2% partners), and sleep quality (78.0% parents; 61.3% partners). Of note, three positive caregiver actions were broadly consistent and significant predictors of QoL and health benefits for both parents and partners: celebrating success related to glycemic control, providing encouragement when glycemic control is challenging, and teamwork discussions about how the caregiver should respond to out-of-range values. CONCLUSIONS: RT-CGM data sharing was associated with a range of QoL and health benefits for caregivers. Degree of benefits was influenced by the collaborative actions taken by caregivers to support their child's or partner's diabetes management. To determine the most effective strategies for collaborative data sharing, longitudinal trials are needed.
Entities:
Keywords:
continuous glucose monitoring; parents; quality of life; real-time data sharing; spouses; type 1 diabetes
Authors: William H Polonsky; Addie L Fortmann; Kenneth E Johnson; Anh Nguyen; Christine Beebe Journal: Diabetes Technol Ther Date: 2019-11-08 Impact factor: 6.118
Authors: M-A Burckhardt; L Fried; K Bebbington; M Hancock; J A Nicholas; A Roberts; M B Abraham; E A Davis; T W Jones Journal: Diabet Med Date: 2019-07-23 Impact factor: 4.359
Authors: T R S Hajos; F Pouwer; S E Skovlund; B L Den Oudsten; P H L M Geelhoed-Duijvestijn; C J Tack; F J Snoek Journal: Diabet Med Date: 2013-02 Impact factor: 4.359
Authors: Michelle L Litchman; Nancy A Allen; Vanessa D Colicchio; Sarah E Wawrzynski; Kerri M Sparling; Krissa L Hendricks; Cynthia A Berg Journal: Diabetes Technol Ther Date: 2017-11-20 Impact factor: 6.118