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      Community Health Worker-Led mHealth-Enabled Diabetes Self-management Education and Support Intervention in Rural Latino Adults: Single-Arm Feasibility Trial

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          Abstract

          Background

          Latinos living in rural South Texas have a higher prevalence of diabetes, but their access to diabetes self-management education and support (DSMES) is limited.

          Objective

          We aimed to test the feasibility of a community health worker-led, mobile health (mHealth)-based DSMES intervention to reduce disparities in accessing DSMES in underserved rural Latino residents in South Texas.

          Methods

          This 12-week, single-arm, pre-post trial was delivered by trained community health workers to 15 adults with type 2 diabetes. The intervention consisted of digital diabetes education, self-monitoring, a cloud-based connected platform, and community health worker support. Feasibility was evaluated as retention, actual intervention use, program satisfaction, and barriers to implementation. We also explored the intervention’s effect on weight loss and hemoglobin A 1c (HbA 1c).

          Results

          All 15 participants were Latino (mean age 61.87 years, SD 10.67; 9/15 female, 60%). The retention rate at posttest was 14 of 15 (93%). On average, the participants completed 37 of 42 (88%) digital diabetes education lessons with 8 participants completing all lessons. Participants spent 81/91 days (89%) step tracking, 71/91 days (78%) food logging, 43/91 days (47%) blood glucose self-monitoring, and 74/91 days (81%) weight self-monitoring. The level of program satisfaction was high. On average, participants lost 3.5 (SD 3.2) kg of body weight ( P=.001), while HbA 1c level remained unchanged from baseline (6.91%, SD 1.28%) to posttest (7.04%, SD 1.66%; P=.668).

          Conclusions

          A community health worker-led mHealth-based intervention was feasible and acceptable to improve access to DSMES services for Latino adults living in rural communities. Future randomized controlled trials are needed to test intervention efficacy on weight loss and glycemic control.

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          Most cited references50

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          The National Institute on Minority Health and Health Disparities Research Framework

          We introduce the National Institute on Minority Health and Health Disparities (NIMHD) research framework, a product that emerged from the NIMHD science visioning process. The NIMHD research framework is a multilevel, multidomain model that depicts a wide array of health determinants relevant to understanding and addressing minority health and health disparities and promoting health equity. We describe the conceptual underpinnings of the framework and define its components. We also describe how the framework can be used to assess minority health and health disparities research as well as priorities for the future. Finally, we describe how fiscal year 2015 research project grants funded by NIMHD map onto the framework, and we identify gaps and opportunities for future minority health and health disparities research.
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            A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support

            Since the introduction of mobile phones, technology has been increasingly used to enable diabetes self-management education and support. This timely systematic review summarizes how currently available technology impacts outcomes for people living with diabetes.
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              Rural-urban disparities in the prevalence of diabetes and coronary heart disease.

              To examine the rural-urban differences in the prevalence of diabetes and coronary heart disease, and the extent to which they are explained by the presence of established risk factors including poverty. Cross-sectional study of more than 214,000 respondents using data from the US Centers for Disease Control and Prevention's (CDC's) 2008 Behavioral Risk Factor Surveillance System. Logistic regression models were utilized; prevalence odds ratios with corresponding confidence intervals and P-values are provided. The crude prevalence rates of diabetes and coronary heart disease were 8.6% (P = 0.001) and 38.8% (P < 0.001) higher among respondents living in rural areas compared with urban areas, respectively. The higher prevalence in rural areas of many of the common risk factors for these conditions, including poverty (P < 0.001), obesity (P < 0.001) and tobacco use (P < 0.001), may contribute to these findings. After controlling for these and other risk factors, the prevalence of diabetes was lower among respondents living in rural areas [prevalence odds ratio (POR) = 0.94, P = 0.032], but the prevalence of coronary heart disease was higher (POR = 1.09, P = 0.011). The higher prevalence of diabetes and coronary heart disease in rural populations in the USA presents a formidable public health challenge. It exacerbates many of the pre-existing rural health disparities, including a lack of access to financial resources and primary care providers. Copyright © 2012 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Journal
                JMIR Diabetes
                JMIR Diabetes
                JD
                JMIR Diabetes
                JMIR Publications (Toronto, Canada )
                2371-4379
                Apr-Jun 2022
                30 May 2022
                : 7
                : 2
                : e37534
                Affiliations
                [1 ] Center on Smart and Connected Health Technologies School of Nursing University of Texas Health Science Center at San Antonio San Antonio, TX United States
                [2 ] Department of Public Health The University of Texas at San Antonio San Antonio, TX United States
                [3 ] School of Nursing University of Texas Health Science Center at San Antonio San Antonio, TX United States
                [4 ] College of Nursing Florida State University Tallahassee, FL United States
                [5 ] Department of Population Health Sciences University of Texas Health Science Center at San Antonio San Antonio, TX United States
                [6 ] Latino Research Institute The University of Texas at Austin Austin, TX United States
                [7 ] South Coastal Area Health Education Center Corpus Christi, TX United States
                Author notes
                Corresponding Author: Jing Wang jingwang@ 123456nursing.fsu.edu
                Author information
                https://orcid.org/0000-0001-8420-9343
                https://orcid.org/0000-0001-7597-3147
                https://orcid.org/0000-0001-6592-7868
                https://orcid.org/0000-0001-5330-9624
                https://orcid.org/0000-0002-4205-1442
                https://orcid.org/0000-0002-5505-524X
                https://orcid.org/0000-0002-9667-2404
                https://orcid.org/0000-0002-4909-9609
                https://orcid.org/0000-0002-4012-0977
                Article
                v7i2e37534
                10.2196/37534
                9153909
                35635752
                611252e9-2000-4d42-9c0d-9ddd894a636f
                ©Shiyu Li, Zenong Yin, Janna Lesser, Chengdong Li, Byeong Yeob Choi, Deborah Parra-Medina, Belinda Flores, Brittany Dennis, Jing Wang. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 30.05.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Diabetes, is properly cited. The complete bibliographic information, a link to the original publication on https://diabetes.jmir.org/, as well as this copyright and license information must be included.

                History
                : 24 February 2022
                : 19 March 2022
                : 19 April 2022
                : 2 May 2022
                Categories
                Original Paper
                Original Paper

                health disparity,rural health,rural,community health worker,health education,digital health,diabetes,diabetes management,mhealth,community health,self management,mobile health,technology feasibility,underserved,latino

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