Cargando…
Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes
BACKGROUND: When launched, FreeStyle Libre (FSL; a flash glucose monitor) onboarding was mainly conducted face-to-face. The COVID-19 pandemic accelerated a change to online starts with patients directed to online videos such as Diabetes Technology Network UK for education. We conducted an audit to e...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347994/ https://www.ncbi.nlm.nih.gov/pubmed/37226777 http://dx.doi.org/10.1177/19322968231176531 |
_version_ | 1785073625065324544 |
---|---|
author | Kingsnorth, Andrew P. Wilson, Caroline Choudhary, Pratik Griffin, Tomás P. |
author_facet | Kingsnorth, Andrew P. Wilson, Caroline Choudhary, Pratik Griffin, Tomás P. |
author_sort | Kingsnorth, Andrew P. |
collection | PubMed |
description | BACKGROUND: When launched, FreeStyle Libre (FSL; a flash glucose monitor) onboarding was mainly conducted face-to-face. The COVID-19 pandemic accelerated a change to online starts with patients directed to online videos such as Diabetes Technology Network UK for education. We conducted an audit to evaluate glycemic outcomes in people who were onboarded face-to-face versus those who were onboarded remotely and to determine the impact of ethnicity and deprivation on those outcomes. METHODS: People living with diabetes who started using FSL between January 2019 and April 2022, had their mode of onboarding recorded and had at least 90 days of data in LibreView with >70% data completion were included in the audit. Glucose metrics (percent time in ranges) and engagement statistics (previous 90-day averages) were obtained from LibreView. Differences between glucose variables and onboarding methods were compared using linear models, adjusting for ethnicity, deprivation, sex, age, percent active (where appropriate), and duration of FSL use. RESULTS: In total, 935 participants (face-to-face 44% [n = 413]; online 56% [n = 522]) were included. There were no significant differences in glycemic or engagement indices between onboarding methods and ethnicities, but the most deprived quintile had significantly lower percent active time (b = −9.20, P = .002) than the least deprived quintile. CONCLUSIONS: Online videos as an onboarding method can be used without significant differences in glucose and engagement metrics. The most deprived group within the audit population had lower engagement metrics, but this did not translate into differences in glucose metrics. |
format | Online Article Text |
id | pubmed-10347994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103479942023-07-15 Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes Kingsnorth, Andrew P. Wilson, Caroline Choudhary, Pratik Griffin, Tomás P. J Diabetes Sci Technol Special Section: Telehealth for Diabetes BACKGROUND: When launched, FreeStyle Libre (FSL; a flash glucose monitor) onboarding was mainly conducted face-to-face. The COVID-19 pandemic accelerated a change to online starts with patients directed to online videos such as Diabetes Technology Network UK for education. We conducted an audit to evaluate glycemic outcomes in people who were onboarded face-to-face versus those who were onboarded remotely and to determine the impact of ethnicity and deprivation on those outcomes. METHODS: People living with diabetes who started using FSL between January 2019 and April 2022, had their mode of onboarding recorded and had at least 90 days of data in LibreView with >70% data completion were included in the audit. Glucose metrics (percent time in ranges) and engagement statistics (previous 90-day averages) were obtained from LibreView. Differences between glucose variables and onboarding methods were compared using linear models, adjusting for ethnicity, deprivation, sex, age, percent active (where appropriate), and duration of FSL use. RESULTS: In total, 935 participants (face-to-face 44% [n = 413]; online 56% [n = 522]) were included. There were no significant differences in glycemic or engagement indices between onboarding methods and ethnicities, but the most deprived quintile had significantly lower percent active time (b = −9.20, P = .002) than the least deprived quintile. CONCLUSIONS: Online videos as an onboarding method can be used without significant differences in glucose and engagement metrics. The most deprived group within the audit population had lower engagement metrics, but this did not translate into differences in glucose metrics. SAGE Publications 2023-05-25 /pmc/articles/PMC10347994/ /pubmed/37226777 http://dx.doi.org/10.1177/19322968231176531 Text en © 2023 Diabetes Technology Society https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Special Section: Telehealth for Diabetes Kingsnorth, Andrew P. Wilson, Caroline Choudhary, Pratik Griffin, Tomás P. Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes |
title | Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes |
title_full | Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes |
title_fullStr | Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes |
title_full_unstemmed | Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes |
title_short | Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes |
title_sort | comparing glucose outcomes following face-to-face and remote initiation of flash glucose monitoring in people living with diabetes |
topic | Special Section: Telehealth for Diabetes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347994/ https://www.ncbi.nlm.nih.gov/pubmed/37226777 http://dx.doi.org/10.1177/19322968231176531 |
work_keys_str_mv | AT kingsnorthandrewp comparingglucoseoutcomesfollowingfacetofaceandremoteinitiationofflashglucosemonitoringinpeoplelivingwithdiabetes AT wilsoncaroline comparingglucoseoutcomesfollowingfacetofaceandremoteinitiationofflashglucosemonitoringinpeoplelivingwithdiabetes AT choudharypratik comparingglucoseoutcomesfollowingfacetofaceandremoteinitiationofflashglucosemonitoringinpeoplelivingwithdiabetes AT griffintomasp comparingglucoseoutcomesfollowingfacetofaceandremoteinitiationofflashglucosemonitoringinpeoplelivingwithdiabetes |