» Articles » PMID: 30198751

Twitter Analysis of #OpenAPS DIY Artificial Pancreas Technology Use Suggests Improved A1C and Quality of Life

Overview
Specialty Endocrinology
Date 2018 Sep 11
PMID 30198751
Citations 42
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Patient-driven innovation in diabetes management has resulted in a group of people with type 1 diabetes who choose to build and share knowledge around a do-it-yourself (DIY) open source artificial pancreas systems (OpenAPS). The purpose of this study was to 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.

Methods: Qualitative netnography was used to analyze #OpenAPS on Twitter over a two-year period.

Results: There were 328 patients, caregivers, and care partners who generated 3347 tweets. One overarching theme, OpenAPS changes lives, and five subthemes emerged from the data: (1) OpenAPS use suggests self-reported A1C and glucose variability improvement, (2) OpenAPS improves sense of diabetes burden and quality of life, (3) OpenAPS is perceived as safe, (4) patient/caregiver-provider interaction related to OpenAPS, and (5) technology adaptation for user needs.

Conclusions: As users of a patient-driven technology, OpenAPS users are self-reporting improved A1C, day-to-day glucose levels, and quality of life. Safety features important to individuals with diabetes are perceived to be embedded into OpenAPS technology. Twitter analysis provides insight on a patient population driving an innovative solution to improve their quality of diabetes care.

Citing Articles

Examining the Emotional and Physical Health Impact in Users of Open-Source Automated Insulin Delivery and Sources of Support: Qualitative Analysis of Patient Narratives.

Cleal B, Chen Y, Waldchen M, Ballhausen H, Cooper D, ODonnell S J Med Internet Res. 2025; 27():e48406.

PMID: 39761553 PMC: 11747533. DOI: 10.2196/48406.


Use of Automated Insulin Delivery in Pregnancies Complicated by Type 1 Diabetes.

Chillakanti M, Young E, Hopcroft A, Bellini N, Smith J, Isaacs D touchREV Endocrinol. 2024; 20(2):110-118.

PMID: 39526053 PMC: 11548357. DOI: 10.17925/EE.2024.20.2.14.


Retrospective Comparison of Commercially Available Automated Insulin Delivery With Open-Source Automated Insulin Delivery Systems in Type 1 Diabetes.

Schutz A, Rami-Merhar B, Schutz-Fuhrmann I, Blauensteiner N, Baumann P, Pottler T J Diabetes Sci Technol. 2024; :19322968241230106.

PMID: 38366626 PMC: 11571566. DOI: 10.1177/19322968241230106.


Psychosocial Outcomes Among Users and Nonusers of Open-Source Automated Insulin Delivery Systems: Multinational Survey of Adults With Type 1 Diabetes.

Schipp J, Hendrieckx C, Braune K, Knoll C, ODonnell S, Ballhausen H J Med Internet Res. 2023; 25:e44002.

PMID: 38096018 PMC: 10755653. DOI: 10.2196/44002.


Efficacy and safety of Android artificial pancreas system use at home among adults with type 1 diabetes mellitus in China: protocol of a 26-week, free-living, randomised, open-label, two-arm, two-phase, crossover trial.

Lei M, Lin B, Ling P, Liu Z, Yang D, Deng H BMJ Open. 2023; 13(8):e073263.

PMID: 37558445 PMC: 10414065. DOI: 10.1136/bmjopen-2023-073263.


References
1.
Morgan D . Qualitative content analysis: a guide to paths not taken. Qual Health Res. 1993; 3(1):112-21. DOI: 10.1177/104973239300300107. View

2.
Omer T . Empowered citizen 'health hackers' who are not waiting. BMC Med. 2016; 14(1):118. PMC: 4988004. DOI: 10.1186/s12916-016-0670-y. View

3.
Sandelowski M . Whatever happened to qualitative description?. Res Nurs Health. 2000; 23(4):334-40. DOI: 10.1002/1098-240x(200008)23:4<334::aid-nur9>3.0.co;2-g. View

4.
. Abridged for Primary Care Providers. Clin Diabetes. 2018; 36(1):14-37. PMC: 5775000. DOI: 10.2337/cd17-0119. View

5.
Cabling M, Turner J, Hurtado-de-Mendoza A, Zhang Y, Jiang X, Drago F . Sentiment Analysis of an Online Breast Cancer Support Group: Communicating about Tamoxifen. Health Commun. 2017; 33(9):1158-1165. PMC: 6077266. DOI: 10.1080/10410236.2017.1339370. View