Literature DB >> 33355003

Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution.

Michelle Dugas1, Weiguang Wang1, Kenyon Crowley1, Anand K Iyer2, Malinda Peeples2, Mansur Shomali2, Guodong Gordon Gao1.   

Abstract

BACKGROUND: Digital health solutions targeting diabetes self-care are popular and promising, but important questions remain about how these tools can most effectively help patients. Consistent with evidence of the salutary effects of note-taking in education, features that enable annotation of structured data entry might enhance the meaningfulness of the interaction, thereby promoting persistent use and benefits of a digital health solution.
METHOD: To examine the potential benefits of note-taking, we explored how patients with type 2 diabetes used annotation features of a digital health solution and assessed the relationship between annotation and persistence in engagement as well as improvements in glycated hemoglobin (A1C). Secondary data from 3142 users of the BlueStar digital health solution collected between December 2013 and June 2017 were analyzed, with a subgroup of 372 reporting A1C lab values.
RESULTS: About a third of patients recorded annotations while using the platform. Annotation themes largely reflected self-management behaviors (diet, physical activity, medication adherence) and well-being (mood, health status). Early use of contextual annotations was associated with greater engagement over time and with greater improvements in A1C.
CONCLUSIONS: Our research provides preliminary evidence of the benefits of annotation features in a digital health solution. Future research is needed to assess the causal impact of note-taking and the moderating role of thematic content reflected in notes.

Entities:  

Keywords:  digital health; engagement; mHealth; self-management; type 2 diabetes

Mesh:

Substances:

Year:  2020        PMID: 33355003      PMCID: PMC9264428          DOI: 10.1177/1932296820976409

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


  23 in total

1.  Wearable devices as facilitators, not drivers, of health behavior change.

Authors:  Mitesh S Patel; David A Asch; Kevin G Volpp
Journal:  JAMA       Date:  2015-02-03       Impact factor: 56.272

2.  New Opportunities for Digital Health to Thrive.

Authors:  David C Klonoff; Fraya King; David Kerr
Journal:  J Diabetes Sci Technol       Date:  2019-01-24

3.  An Effective Model of Diabetes Care and Education: Revising the AADE7 Self-Care Behaviors®.

Authors: 
Journal:  Diabetes Educ       Date:  2020-01-12       Impact factor: 2.140

4.  Glucose Self-monitoring in Non-Insulin-Treated Patients With Type 2 Diabetes in Primary Care Settings: A Randomized Trial.

Authors:  Laura A Young; John B Buse; Mark A Weaver; Maihan B Vu; C Madeline Mitchell; Tamara Blakeney; Kimberlea Grimm; Jennifer Rees; Franklin Niblock; Katrina E Donahue
Journal:  JAMA Intern Med       Date:  2017-07-01       Impact factor: 21.873

Review 5.  Putting education in "educational" apps: lessons from the science of learning.

Authors:  Kathy Hirsh-Pasek; Jennifer M Zosh; Roberta Michnick Golinkoff; James H Gray; Michael B Robb; Jordy Kaufman
Journal:  Psychol Sci Public Interest       Date:  2015-05

Review 6.  A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support.

Authors:  Deborah A Greenwood; Perry M Gee; Kathy J Fatkin; Malinda Peeples
Journal:  J Diabetes Sci Technol       Date:  2017-05-31

7.  Long-term outcomes of a Web-based diabetes prevention program: 2-year results of a single-arm longitudinal study.

Authors:  S Cameron Sepah; Luohua Jiang; Anne L Peters
Journal:  J Med Internet Res       Date:  2015-04-10       Impact factor: 5.428

8.  Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy.

Authors:  Yuan Wu; Xun Yao; Giacomo Vespasiani; Antonio Nicolucci; Yajie Dong; Joey Kwong; Ling Li; Xin Sun; Haoming Tian; Sheyu Li
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-14       Impact factor: 4.773

9.  Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  Bráulio Cezar Bonoto; Vânia Eloisa de Araújo; Isabella Piassi Godói; Lívia Lovato Pires de Lemos; Brian Godman; Marion Bennie; Leonardo Mauricio Diniz; Augusto Afonso Guerra Junior
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-01       Impact factor: 4.773

10.  Self-monitoring of blood glucose in noninsulin-using type 2 diabetic patients: right answer, but wrong question: self-monitoring of blood glucose can be clinically valuable for noninsulin users.

Authors:  William H Polonsky; Lawrence Fisher
Journal:  Diabetes Care       Date:  2013-01       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.