Literature DB >> 33627992

Disparities in Text Messaging Interventions to Improve Diabetes Management in the United States.

Amy A Eyler1, Francine C Gachupin2, Shelly L Johnston3, Julie M Kapp4, Diana C Parra1, Mihail Popescu5.   

Abstract

Substantial progress has been made in the development of evidence-based interventions to facilitate the management of type 2 diabetes. The increase in ownership of mobile phones has made short messaging services (SMS, or text messaging) a feasible way to enhance information delivery. The goals of this study were to 1) summarize characteristics of diabetes SMS interventions implemented in the United States and 2) identify the extent to which disadvantaged populations are represented in SMS-based diabetes management intervention studies. We conducted a literature search to identify published studies of type 2 diabetes self-management SMS interventions conducted with adults in the United States. Of the 792 articles retrieved, only 9 met inclusion criteria. We systematically extracted data on the theoretical basis, recruitment, incentives, inclusion/exclusion criteria, strategies toward ensuring a racially/ethnically or income-diverse sample, text message delivery, and study duration. Sixty-three percent of the participants across the nine studies were non-white. Only two studies reported participants' education level, and four captured non-English-speaking status. Interventions varied in offering one-way, two-way, or a combination of messaging strategies. Five studies did not describe cultural adaptations or report results separately for different cultural groups. None of the studies provided cell phones, and not having texting capability was an exclusion criterion for six studies. There is a dearth of published research on type 2 diabetes management interventions using text messaging among racially/ethnically or income-diverse populations. Future interventions should be better tailored to these target populations and include the collection of complete sociodemographic data and cell phone/smartphone availability, thereby ensuring cultural appropriateness.
© 2020 by the American Diabetes Association.

Entities:  

Year:  2021        PMID: 33627992      PMCID: PMC7887528          DOI: 10.2337/ds19-0071

Source DB:  PubMed          Journal:  Diabetes Spectr        ISSN: 1040-9165


  20 in total

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Authors:  Su Hyun Kim; Anna Lee
Journal:  Worldviews Evid Based Nurs       Date:  2016-04-22       Impact factor: 2.931

Review 2.  Effect of telemedicine on glycated hemoglobin in diabetes: a systematic review and meta-analysis of randomized trials.

Authors:  Labib Imran Faruque; Natasha Wiebe; Arash Ehteshami-Afshar; Yuanchen Liu; Neda Dianati-Maleki; Brenda R Hemmelgarn; Braden J Manns; Marcello Tonelli
Journal:  CMAJ       Date:  2016-10-31       Impact factor: 8.262

Review 3.  Do Mobile Phone Applications Improve Glycemic Control (HbA1c) in the Self-management of Diabetes? A Systematic Review, Meta-analysis, and GRADE of 14 Randomized Trials.

Authors:  Can Hou; Ben Carter; Jonathan Hewitt; Trevor Francisa; Sharon Mayor
Journal:  Diabetes Care       Date:  2016-11       Impact factor: 19.112

4.  Disparities in the Prevalence of Diagnosed Diabetes - United States, 1999-2002 and 2011-2014.

Authors:  Gloria L Beckles; Chiu-Fang Chou
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-11-18       Impact factor: 17.586

5.  How do mobile phone diabetes programs drive behavior change? Evidence from a mixed methods observational cohort study.

Authors:  Shantanu Nundy; Anjuli Mishra; Patrick Hogan; Sang Mee Lee; Marla C Solomon; Monica E Peek
Journal:  Diabetes Educ       Date:  2014-10-02       Impact factor: 2.140

6.  Text Messaging to Improve Disease Management in Patients With Painful Diabetic Peripheral Neuropathy.

Authors:  Victoria Bauer; Nancy Goodman; Brittany Lapin; Camille Cooley; Ed Wang; Terri L Craig; Scott E Glosner; Mark S Juhn; Joseph C Cappelleri; Alesia B Sadosky; Christopher Masi
Journal:  Diabetes Educ       Date:  2018-03-28       Impact factor: 2.140

7.  Prevalence of and Trends in Diabetes Among Adults in the United States, 1988-2012.

Authors:  Andy Menke; Sarah Casagrande; Linda Geiss; Catherine C Cowie
Journal:  JAMA       Date:  2015-09-08       Impact factor: 56.272

8.  Going mobile with diabetes support: a randomized study of a text message-based personalized behavioral intervention for type 2 diabetes self-care.

Authors:  Korey Capozza; Sarah Woolsey; Mattias Georgsson; Jeff Black; Nelly Bello; Clare Lence; Steve Oostema; Christie North
Journal:  Diabetes Spectr       Date:  2015-05

9.  Text to Move: A Randomized Controlled Trial of a Text-Messaging Program to Improve Physical Activity Behaviors in Patients With Type 2 Diabetes Mellitus.

Authors:  Stephen Agboola; Kamal Jethwani; Lenny Lopez; Meghan Searl; Sandra O'Keefe; Joseph Kvedar
Journal:  J Med Internet Res       Date:  2016-11-18       Impact factor: 5.428

10.  Economic Costs of Diabetes in the U.S. in 2017.

Authors: 
Journal:  Diabetes Care       Date:  2018-03-22       Impact factor: 19.112

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  1 in total

1.  FHIRedApp: a LEAP in health information technology for promoting patient access to their medical information.

Authors:  Anjum Khurshid; Eliel Oliveira; Eric Nordquist; Vidya Lakshminarayanan; Vishal Abrol
Journal:  JAMIA Open       Date:  2021-12-28
  1 in total

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