Literature DB >> 29059017

Baseline Characteristics and Technology Training of Underserved Adults With Type 2 Diabetes in the Mobile Diabetes Detective (MoDD) Randomized Controlled Trial.

Elizabeth M Heitkemper1, Lena Mamykina2, Jonathan N Tobin3, Andrea Cassells4, Arlene Smaldone1,5.   

Abstract

Purpose The purpose of this study is to describe the characteristics and technology training needs of underserved adults with type 2 diabetes mellitus (T2DM) who participated in a health information technology (HIT) diabetes self-management education (DSME) intervention. Methods The baseline physiological, psychosocial, and technology use characteristics for 220 adults with poorly controlled T2DM were evaluated. Intervention participants received a 1-time intervention training, which included basic technology help, introduction to the Mobile Diabetes Detective (MoDD) website and text message features, and account activation that included subject-specific tailoring. Four additional on-site sessions for participants needing computer or Internet access or technology support were made available based on need. Data regarding on-site visits for usual care were collected. Data were analyzed using descriptive statistics and bivariate analysis. Results The participants were predominately Hispanic and female with a baseline mean A1C of 10% (86 mmol/mol). Only half of the participants regularly used computers or text messages in daily life. The average introductory MoDD training session lasted 73.6 minutes. Following training, approximately one-third (35%) of intervention participants returned for basic and MoDD-specific technology assistance at their federally qualified health center. The most frequently reported duration for the extra training sessions was 30 to 45 minutes. Conclusions Training and support needs were greater than anticipated. Diabetes educators should assess technology abilities prior to implementing health information technology (HIT) diabetes self-management education (DSME) in underserved adults. Future research must invest resources in technology access, anticipate subject training, and develop new training approaches to ensure HIT DSME use and engagement.

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Year:  2017        PMID: 29059017      PMCID: PMC5759770          DOI: 10.1177/0145721717737367

Source DB:  PubMed          Journal:  Diabetes Educ        ISSN: 0145-7217            Impact factor:   2.140


  35 in total

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2.  Diabetes Self-Management Education and Support in Type 2 Diabetes: A Joint Position Statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics.

Authors:  Margaret A Powers; Joan Bardsley; Marjorie Cypress; Paulina Duker; Martha M Funnell; Amy Hess Fischl; Melinda D Maryniuk; Linda Siminerio; Eva Vivian
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3.  Training digital divide seniors to use a telehealth system: a remote training approach.

Authors:  Albert M Lai; David R Kaufman; Justin Starren
Journal:  AMIA Annu Symp Proc       Date:  2006

4.  Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis.

Authors:  X Liang; Q Wang; X Yang; J Cao; J Chen; X Mo; J Huang; L Wang; D Gu
Journal:  Diabet Med       Date:  2011-04       Impact factor: 4.359

5.  Assessment of diabetes-related distress.

Authors:  W H Polonsky; B J Anderson; P A Lohrer; G Welch; A M Jacobson; J E Aponte; C E Schwartz
Journal:  Diabetes Care       Date:  1995-06       Impact factor: 19.112

Review 6.  Reasons why patients referred to diabetes education programmes choose not to attend: a systematic review.

Authors:  G Horigan; M Davies; F Findlay-White; D Chaney; V Coates
Journal:  Diabet Med       Date:  2016-04-15       Impact factor: 4.359

Review 7.  Responsiveness of the Problem Areas In Diabetes (PAID) questionnaire.

Authors:  G Welch; K Weinger; B Anderson; W H Polonsky
Journal:  Diabet Med       Date:  2003-01       Impact factor: 4.359

8.  Characteristics of the Spanish- and English-Language Self-Efficacy to Manage Diabetes Scales.

Authors:  Philip L Ritter; Kate Lorig; Diana D Laurent
Journal:  Diabetes Educ       Date:  2016-02-04       Impact factor: 2.140

9.  Development and validation of the type 1 diabetes nutrition knowledge survey.

Authors:  Alisha J Rovner; Tonja R Nansel; Sanjeev N Mehta; Laurie A Higgins; Denise L Haynie; Lori M Laffel
Journal:  Diabetes Care       Date:  2012-06-04       Impact factor: 19.112

10.  Diabetes self-management education and training among privately insured persons with newly diagnosed diabetes--United States, 2011-2012.

Authors:  Rui Li; Sundar S Shrestha; Ruth Lipman; Nilka R Burrows; Leslie E Kolb; Stephanie Rutledge
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2014-11-21       Impact factor: 17.586

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2.  2022 National Standards for Diabetes Self-Management Education and Support.

Authors:  Jody Davis; Amy Hess Fischl; Joni Beck; Lillian Browning; Amy Carter; Jo Ellen Condon; Michelle Dennison; Terri Francis; Peter J Hughes; Stephen Jaime; Ka Hei Karen Lau; Teresa McArthur; Karen McAvoy; Michelle Magee; Olivia Newby; Stephen W Ponder; Uzma Quraishi; Kelly Rawlings; Julia Socke; Michelle Stancil; Sacha Uelmen; Suzanne Villalobos
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Review 3.  The Efficacy of Health Information Technology in Supporting Health Equity for Black and Hispanic Patients With Chronic Diseases: Systematic Review.

Authors:  Charles Senteio; Paul Joseph Murdock
Journal:  J Med Internet Res       Date:  2022-04-04       Impact factor: 7.076

4.  Secular Trends in Information Communications Technology: Access, Use, and Attitudes of Young and Older Patients With Diabetes.

Authors:  Timothy L Middleton; Maria I Constantino; Lynda Molyneaux; Turki AlMogbel; Margaret McGill; Dennis K Yue; Stephen M Twigg; Ted Wu; Jencia Wong
Journal:  Diabetes Spectr       Date:  2020-02
  4 in total

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