Diabetes Healthcare Professionals Use Multiple Continuous Glucose Monitoring Data Indicators to Assess Glucose Management. (March 2020)
- Record Type:
- Journal Article
- Title:
- Diabetes Healthcare Professionals Use Multiple Continuous Glucose Monitoring Data Indicators to Assess Glucose Management. (March 2020)
- Main Title:
- Diabetes Healthcare Professionals Use Multiple Continuous Glucose Monitoring Data Indicators to Assess Glucose Management
- Authors:
- Sheng, Tong
Offringa, Reid
Kerr, David
Clements, Mark
Fischer, Jerome
Parks, Linda
Greenfield, Michael - Abstract:
- Background: Continuous glucose monitoring (CGM) offers multiple data features that can be leveraged to assess glucose management. However, how diabetes healthcare professionals (HCPs) actually assess CGM data and the extent to which they agree in assessing glycemic management are not well understood. Methods: We asked HCPs to assess ten de-identified CGM datasets (each spanning seven days) and rank order each day by relative glycemic management (from "best" to "worst"). We also asked HCPs to endorse features of CGM data that were important in making such assessments. Results: In the study, 57 HCPs (29 endocrinologists; 28 diabetes educators) participated. Hypoglycemia and glycemic variance were endorsed by nearly all HCPs to be important (91% and 88%, respectively). Time in range and daily lows and highs were endorsed more frequently by educators (all P s < .05). On average, HCPs endorsed 3.7 of eight data features. Overall, HCPs demonstrated agreement in ranking days by relative glycemic control (Kendall's W = .52, P < .001). Rankings were similar between endocrinologists and educators ( R 2 = .90, Cohen's kappa = .95, mean absolute error = .4 [all P s < .05]; Mann-Whitney U = 41, P = .53). Conclusions: Consensus in the endorsement of certain data features and agreement in assessing glycemic management were observed. While some practice-specific differences in feature endorsement were found, no differences between educators and endocrinologists were observed in assessingBackground: Continuous glucose monitoring (CGM) offers multiple data features that can be leveraged to assess glucose management. However, how diabetes healthcare professionals (HCPs) actually assess CGM data and the extent to which they agree in assessing glycemic management are not well understood. Methods: We asked HCPs to assess ten de-identified CGM datasets (each spanning seven days) and rank order each day by relative glycemic management (from "best" to "worst"). We also asked HCPs to endorse features of CGM data that were important in making such assessments. Results: In the study, 57 HCPs (29 endocrinologists; 28 diabetes educators) participated. Hypoglycemia and glycemic variance were endorsed by nearly all HCPs to be important (91% and 88%, respectively). Time in range and daily lows and highs were endorsed more frequently by educators (all P s < .05). On average, HCPs endorsed 3.7 of eight data features. Overall, HCPs demonstrated agreement in ranking days by relative glycemic control (Kendall's W = .52, P < .001). Rankings were similar between endocrinologists and educators ( R 2 = .90, Cohen's kappa = .95, mean absolute error = .4 [all P s < .05]; Mann-Whitney U = 41, P = .53). Conclusions: Consensus in the endorsement of certain data features and agreement in assessing glycemic management were observed. While some practice-specific differences in feature endorsement were found, no differences between educators and endocrinologists were observed in assessing glycemic management. Overall, HCPs tended to consider CGM data holistically, in alignment with published recommendations, and made converging assessments regardless of practice. … (more)
- Is Part Of:
- Journal of diabetes science and technology. Volume 14:Number 2(2020:Mar.)
- Journal:
- Journal of diabetes science and technology
- Issue:
- Volume 14:Number 2(2020:Mar.)
- Issue Display:
- Volume 14, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 14
- Issue:
- 2
- Issue Sort Value:
- 2020-0014-0002-0000
- Page Start:
- 271
- Page End:
- 276
- Publication Date:
- 2020-03
- Subjects:
- AGP -- CGM -- clinical care -- glucose data -- outcomes
Diabetes -- Periodicals
Medical technology -- Periodicals
Diabetes Mellitus -- Periodicals
616.462005 - Journal URLs:
- http://ejournals.ebsco.com/direct.asp?JournalID=712321 ↗
http://www.jodsat.org/about.html ↗
http://online.sagepub.com/ ↗ - DOI:
- 10.1177/1932296819873641 ↗
- Languages:
- English
- ISSNs:
- 1932-2968
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12601.xml