A Text-Mining Analysis to Examine Dominant Sources of Online Information and Content on Continuous Glucose Monitors.
Elizabeth M Heitkemper, Gary B Wilcox, Julie Zuñiga and 2 others
PMID 36896911WHAT IT FOUND
Most online CGM information came from news and praised device benefits.
It did not explain reimbursement changes or practical ways to use CGM data, so online readers may find little about access or self-management.
Key findings
01Formal news sources supplied 7460 of the 10 677 messages in the final analysis.
02The text analysis produced seven themes, including device information, pairing CGM with other devices, company finances, hypoglycemia forecasting, eating choices, daily glucose trend data, and cost effectiveness.
03Only one source mentioned insurance or discount programs, and no included source gave concrete actionable examples of how to use CGM data to improve management.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
The search software captured many online sources but not all internet content. The query may have missed key terms and relevant messages. News publications were not named, so readers cannot identify which source said what. The study analyzed online text, not patient outcomes or clinical care.
Declared interests
The authors declared no conflict of interest. Funding came from a St David’s Center for Health Promotion and Disease Prevention Research in Underserved Populations Pilot Grant.
The easy way to misread this
Do not read the themes as evidence that CGM improves outcomes. The study analyzed online messages, not patients or clinical results.