Table 2.
Authors | Country | Research methods | Aim | Sample (n) | Outcomes |
---|---|---|---|---|---|
Litchman et al20 | United States | Qualitative “Netnography” (Internet Enthnography) to analyze #OpenAPS on Twitter over a two-year period |
Examine Twitter data to understand how patients, caregivers, and care partners perceive OpenAPS, the personal and emotional ramifications of using OpenAPS, and the influence of OpenAPS on daily life | 328 participants’ 3347 tweets | Overarching theme: OpenAPS changes lives five subthemes relating to OpenAPS use emerged from the data: (1) Improved self-reported A1C and glucose variability (2) Improved sense of diabetes burden and quality of life (3) OpenAPS perceived as safe (4) Patient/caregiver-provider interaction related to OpenAPS (5) Technology adapted for OpenAPS users’ needs |
Gavrila et al21 | United States | Qualitative Semistructured interviews |
Describe Nightscout outcomes: Glycemic control and variability |
20 interviews | “Members of the CGM in the Cloud Facebook group identified peer support through giving and receiving technical, emotional, and medical support, as well as giving back to the larger community by paying it forward. Peer support also extended beyond the online forum, connecting people in person, whether they were local or across the country.” |
Abbreviation: OpenAPS, open source artificial pancreas system.