Literature DB >> 28245152

Real-World Use and Self-Reported Health Outcomes of a Patient-Designed Do-it-Yourself Mobile Technology System for Diabetes: Lessons for Mobile Health.

Joyce M Lee1,2, Mark W Newman3, Achamyeleh Gebremariam2, Preciosa Choi2, Dana Lewis4, Weston Nordgren5, John Costik6, James Wedding5, Benjamin West7, Nancy Benovich Gilby3, Christopher Hannemann7, Josh Pasek8, Ashley Garrity2, Emily Hirschfeld2.   

Abstract

BACKGROUND: The aim of this study is to compare demographic/disease characteristics of users versus nonusers of a do-it-yourself (DIY) mobile technology system for diabetes (Nightscout), to describe its uses and personalization, and to evaluate associated changes in health behaviors and outcomes.
METHODS: A cross-sectional, household-level online survey was used. Of 1268 household respondents who were members of the CGM in the Cloud Facebook group, there were 1157 individuals with diabetes who provided information about Nightscout use.
RESULTS: The majority of individuals with diabetes in the household sample were 6-12 years old (followed by 18 years and above, and 13-17 years), non-Hispanic whites (90.2%), with type 1 diabetes (99.4%). The majority used an insulin pump (85.6%) and CGM (97.0%) and had private health insurance (83.8%). Nightscout use was more prevalent among children compared with adolescents and adults. Children used Nightscout for nighttime, school, sporting events, and travel; adults used it for nighttime, work, travel, and sporting events. Whereas the majority of adults viewed their own data without assistance from others, among pediatric users, a median of three individuals (range: 0-8) viewed Nightscout, with a median of three devices per viewer (range: 0-7). Individuals reported that after Nightscout adoption, they checked blood glucose values with a meter less often; bolused more frequently; gave more boluses without checking first with a blood glucose meter; and experienced significant improvements in HbA1c and quality of life.
CONCLUSIONS: The Nightscout Project is a patient-driven mobile technology for health and may have beneficial effects on glycemic control and quality of life.

Entities:  

Keywords:  Mobile technology; Online community; Social media; Type 1 diabetes

Mesh:

Substances:

Year:  2017        PMID: 28245152     DOI: 10.1089/dia.2016.0312

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  20 in total

1.  Motivations for Participation in an Online Social Media Community for Diabetes.

Authors:  Katherine White; Achamyeleh Gebremariam; Dana Lewis; Weston Nordgren; James Wedding; Josh Pasek; Ashley Garrity; Emily Hirschfeld; Joyce M Lee
Journal:  J Diabetes Sci Technol       Date:  2018-01-09

2.  "Do It Yourself" (DIY)-Automated Insulin Delivery (AID) Systems: Current Status From a German Point of View.

Authors:  Lutz Heinemann; Karin Lange
Journal:  J Diabetes Sci Technol       Date:  2019-12-25

3.  Health Care Provider Knowledge and Perceptions of FDA-Approved and Do-It-Yourself Automated Insulin Delivery.

Authors:  James A Murray; Margaret F Clayton; Michelle L Litchman
Journal:  J Diabetes Sci Technol       Date:  2019-12-26

Review 4.  History and Perspective on DIY Closed Looping.

Authors:  Dana Lewis
Journal:  J Diabetes Sci Technol       Date:  2018-10-22

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

Authors:  Michelle L Litchman; Dana Lewis; Lesly A Kelly; Perry M Gee
Journal:  J Diabetes Sci Technol       Date:  2018-09-10

6.  Do-It-Yourself Artificial Pancreas Systems: A Review of the Emerging Evidence and Insights for Healthcare Professionals.

Authors:  Peter Jennings; Sufyan Hussain
Journal:  J Diabetes Sci Technol       Date:  2019-12-17

7.  What Are Diabetes Patients Versus Health Care Personnel Discussing on Social Media?

Authors:  Eirik Årsand; Meghan Bradway; Elia Gabarron
Journal:  J Diabetes Sci Technol       Date:  2019-01-13

8.  Patient generated health data use in clinical practice: A systematic review.

Authors:  George Demiris; Sarah J Iribarren; Katherine Sward; Solim Lee; Rumei Yang
Journal:  Nurs Outlook       Date:  2019-04-26       Impact factor: 3.250

9.  Peer Support Through a Diabetes Social Media Community.

Authors:  Valerie Gavrila; Ashley Garrity; Emily Hirschfeld; Breann Edwards; Joyce M Lee
Journal:  J Diabetes Sci Technol       Date:  2019-01-02

10.  Evolution of Do-It-Yourself Remote Monitoring Technology for Type 1 Diabetes.

Authors:  Michelle Ng; Emily Borst; Ashley Garrity; Emily Hirschfeld; Joyce Lee
Journal:  J Diabetes Sci Technol       Date:  2020-01-02
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