Literature DB >> 32627587

Patient-Driven Diabetes Technologies: Sentiment and Personas of the #WeAreNotWaiting and #OpenAPS Movements.

Michelle L Litchman1, Heather R Walker2, Caroline Fitzgerald3, Mariana Gomez Hoyos4, Dana Lewis5, Perry M Gee6.   

Abstract

BACKGROUND: Patients with diabetes have developed innovative do-it-yourself (DIY) methods for adapting existing medical devices to better fit individual needs.
METHOD: A multiple method study used Symplur Analytics to analyze aggregated Twitter data of #WeAreNotWaiting and #OpenAPS tweets between 2014 and 2017 to examine DIY patient-led innovation. Conversation sentiment was examined between diabetes stakeholders to determine changes over time. Two hundred of the most shared photos were analyzed to understand visual representations of DIY patient-led innovations. Finally, discourse analysis was used to identify the personas who engage in DIY patient-led diabetes technologies activities and conversations on Twitter.
RESULTS: A total of 7886 participants who generated 46 578 tweets were included. Sentiment analysis showed that 82%-85% of interactions around DIY patient-led innovation was positive among patient/caregiver and physician groups. Through photo analysis, five content themes emerged: (1) disseminating media and conference coverage, (2) showcasing devices, (3) celebrating connections, (4) providing instructions, and (5) celebrating accomplishments. Six personas emerged across the overlapping userbase: (1) fearless leaders, (2) loopers living it up, (3) parents on a mission, (4) the tech titans, (5) movement supporters, and (6) healthcare provider advocates. Personas had varying goals and behaviors within the community.
CONCLUSIONS: #WeAreNotWaiting and #OpenAPS on Twitter reveal a fast-moving patient-led movement focused on DIY patient innovation that is further mobilized by an expanding and diverse userbase. Further research is indicated to bring technology savvy persons with diabetes into conversation with healthcare providers and researchers alike.

Entities:  

Keywords:  artificial pancreas system; continuous glucose monitor; diabetes; diabetes technology; insulin pump

Year:  2020        PMID: 32627587      PMCID: PMC7645133          DOI: 10.1177/1932296820932928

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  13 in total

1.  Discourse analysis: a new methodology for understanding the ideologies of health and illness.

Authors:  D Lupton
Journal:  Aust J Public Health       Date:  1992-06

2.  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

3.  Real-World Use of Open Source Artificial Pancreas Systems.

Authors:  Dana Lewis; Scott Leibrand
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

Review 4.  State of the Science: A Scoping Review and Gap Analysis of Diabetes Online Communities.

Authors:  Michelle L Litchman; Heather R Walker; Ashley H Ng; Sarah E Wawrzynski; Sean M Oser; Deborah A Greenwood; Perry M Gee; Mellanye Lackey; Tamara K Oser
Journal:  J Diabetes Sci Technol       Date:  2019-03-10

5.  Exploration of the e-patient phenomenon in nursing informatics.

Authors:  Perry M Gee; Deborah A Greenwood; Katherine K Kim; Susan L Perez; Nancy Staggers; Holli A DeVon
Journal:  Nurs Outlook       Date:  2012-01-04       Impact factor: 3.250

6.  Personas in online health communities.

Authors:  Jina Huh; Bum Chul Kwon; Sung-Hee Kim; Sukwon Lee; Jaegul Choo; Jihoon Kim; Min-Je Choi; Ji Soo Yi
Journal:  J Biomed Inform       Date:  2016-08-26       Impact factor: 6.317

7.  Empowered citizen 'health hackers' who are not waiting.

Authors:  Timothy Omer
Journal:  BMC Med       Date:  2016-08-17       Impact factor: 8.775

Review 8.  What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review.

Authors:  Julia Amann; Claudia Zanini; Sara Rubinelli
Journal:  PLoS One       Date:  2016-06-07       Impact factor: 3.240

9.  Continuous Glucose Monitoring in the Real World Using Photosurveillance of #Dexcom on Instagram: Exploratory Mixed Methods Study.

Authors:  Michelle L Litchman; Sarah E Wawrzynski; Whitney S Woodruff; Joseph B Arrington; Quynh C Nguyen; Perry M Gee
Journal:  JMIR Public Health Surveill       Date:  2019-05-24

10.  Positioning pharmacists' roles in primary health care: a discourse analysis of the compensation plan in Alberta, Canada.

Authors:  Christine A Hughes; Rene R Breault; Deborah Hicks; Theresa J Schindel
Journal:  BMC Health Serv Res       Date:  2017-11-23       Impact factor: 2.655

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  3 in total

Review 1.  Patient-driven innovations reported in peer-reviewed journals: a scoping review.

Authors:  Maria Reinius; Pamela Mazzocato; Sara Riggare; Ami Bylund; Hanna Jansson; John Øvretveit; Carl Savage; Carolina Wannheden; Henna Hasson
Journal:  BMJ Open       Date:  2022-01-24       Impact factor: 2.692

Review 2.  A scoping review of Do-It-Yourself Automated Insulin Delivery system (DIY AID) use in people with type 1 diabetes.

Authors:  Amy E Morrison; Kimberley Chong; Peter A Senior; Anna Lam
Journal:  PLoS One       Date:  2022-08-11       Impact factor: 3.752

Review 3.  Automated insulin delivery: benefits, challenges, and recommendations. A Consensus Report of the Joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association.

Authors:  Jennifer L Sherr; Lutz Heinemann; G Alexander Fleming; Richard M Bergenstal; Daniela Bruttomesso; Hélène Hanaire; Reinhard W Holl; John R Petrie; Anne L Peters; Mark Evans
Journal:  Diabetologia       Date:  2022-10-06       Impact factor: 10.460

  3 in total

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