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      Exploring the Use of Personal Technology in Type 2 Diabetes Management Among Ethnic Minority Patients: Cross-Sectional Analysis of Survey Data from the Lifestyle Intervention for the Treatment of Diabetes Study (LIFT Diabetes)

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          Abstract

          Background

          Minority populations have higher morbidity from chronic diseases and typically experience worse health outcomes. Internet technology may afford a low-cost method of ongoing chronic disease management to promote improved health outcomes among minority populations.

          Objective

          The objective of our study was to assess the feasibility of capitalizing on the pervasive use of technology as a secondary means of delivering diabetic counseling though an investigation of correlates to technology use within the context of an ongoing diabetes intervention study.

          Methods

          The Lifestyle Intervention for the Treatment of Diabetes study (LIFT Diabetes) randomly assigned 260 overweight and obese adults with type 2 diabetes mellitus to 2 intervention arms. At baseline, we administered a survey evaluating access to and use of various technologies and analyzed the responses using descriptive statistics and logistic regression.

          Results

          The sample population had a mean age of 56 (SD 11) years; 67.3% (175/260) were female and 54.6% (n=142) self-identified as being from ethnic minority groups (n=125, 88.0% black; n=6, 4.3% Hispanic; and n=11, 7.7% other). Minority participants had higher baseline mean body mass index ( P=.002) and hemoglobin A 1c levels ( P=.003). Minority participants were less likely to have a home computer (106/142, 74.7% vs 110/118, 93.2%; P<.001) and less likely to have email access at home ( P=.03). Ownership of a home computer was correlated to higher income ( P<.001), higher educational attainment ( P<.001), full-time employment ( P=.01), and ownership of a smartphone ( P=.001). Willingness to complete questionnaires online was correlated to higher income ( P=.001), higher education ( P<.001), full-time employment ( P=.01), and home access to a computer, internet, and smartphone ( P≤.05). Racial disparities in having a home computer persisted after controlling for demographic variables and owning a smartphone (adjusted OR 0.26, 95% CI 0.10-0.67; P=.01). Willingness to complete questionnaires online was driven by ownership of a home computer (adjusted OR 3.87, 95% CI 1.14-13.2; P=.03).

          Conclusions

          Adults who self-identified as being part of a minority group were more likely to report limited access to technology than were white adults. As ownership of a home computer is central to a willingness to use online tools, racial disparities in access may limit the potential of Web-based interventions to reach this population.

          Trial Registration

          ClinicalTrials.gov NCT01806727; https://clinicaltrials.gov/ct2/show/NCT01806727 (Archived by WebCite at http://www.webcitation.org/6xOq2b7Tv)

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          Most cited references21

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          The Look AHEAD study: a description of the lifestyle intervention and the evidence supporting it.

          The Look AHEAD (Action for Health in Diabetes) study is a multicenter, randomized controlled trial designed to determine whether intentional weight loss reduces cardiovascular morbidity and mortality in overweight individuals with type 2 diabetes. The study began in 2001 and is scheduled to conclude in 2012. A total of 5145 participants have been randomly assigned to a lifestyle intervention or to an enhanced usual care condition (i.e., diabetes support and education). This article describes the lifestyle intervention and the empirical evidence to support it. The two principal intervention goals are to induce a mean loss >or = 7% of initial weight and to increase participants' moderately intense physical activity to > or =175 min/wk. For the first 6 months, participants attend one individual and three group sessions per month and are encouraged to replace two meals and one snack a day with liquid shakes and meal bars. From months 7 to 12, they attend one individual and two group meetings per month and continue to replace one meal per day (which is recommended for the study's duration). Starting at month 7, more intensive behavioral interventions and weight loss medication are available from a toolbox, designed to help participants with limited weight loss. In Years 2 to 4, treatment is provided mainly on an individual basis and includes at least one on-site visit per month and a second contact by telephone, mail, or e-mail. After Year 4, participants are offered monthly individual visits. The intervention is delivered by a multidisciplinary team that includes medical staff who monitor participants at risk of hypoglycemic episodes.
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            Improving chronic illness care: translating evidence into action.

            The growing number of persons suffering from major chronic illnesses face many obstacles in coping with their condition, not least of which is medical care that often does not meet their needs for effective clinical management, psychological support, and information. The primary reason for this may be the mismatch between their needs and care delivery systems largely designed for acute illness. Evidence of effective system changes that improve chronic care is mounting. We have tried to summarize this evidence in the Chronic Care Model (CCM) to guide quality improvement. In this paper we describe the CCM, its use in intensive quality improvement activities with more than 100 health care organizations, and insights gained in the process.
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              Miles to go before we sleep: racial inequities in health.

              Large, pervasive, and persistent racial inequalities exist in the onset, courses, and outcomes of illness. A comprehensive understanding of the patterning of racial disparities indicates that racism in both its institutional and individual forms remains an important determinant. There is an urgent need to build the science base that would identify how to trigger the conditions that would facilitate needed societal change and to identify the optimal interventions that would confront and dismantle the societal conditions that create and sustain health inequalities.
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                Author and article information

                Contributors
                Journal
                JMIR Diabetes
                JMIR Diabetes
                JD
                JMIR Diabetes
                JMIR Publications (Toronto, Canada )
                2371-4379
                Jan-Mar 2018
                22 February 2018
                : 3
                : 1
                : e5
                Affiliations
                [1 ] School of Medicine Wake Forest University Winston Salem, NC United States
                [2 ] National Heart, Lung, and Blood Institute National Institutes of Health Bethesda, MD United States
                [3 ] Department of Epidemiology and Prevention Division of Public Health Sciences Wake Forest School of Medicine Winston Salem, NC United States
                [4 ] Maya Angelou Center for Health Equity Winston Salem, NC United States
                Author notes
                Corresponding Author: Sophie E Claudel sclaudel@ 123456wakehealth.edu
                Author information
                http://orcid.org/0000-0002-7695-4674
                http://orcid.org/0000-0002-7503-6273
                Article
                v3i1e5
                10.2196/diabetes.8934
                6238848
                30291086
                6e659331-7807-43e2-9482-974f0825da48
                ©Sophie E Claudel, Alain G Bertoni. Originally published in JMIR Diabetes (http://diabetes.jmir.org), 22.02.2018.

                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 http://diabetes.jmir.org/.as well as this copyright and license information must be included.

                History
                : 9 September 2017
                : 12 October 2017
                : 17 October 2017
                : 2 November 2017
                Categories
                Original Paper
                Original Paper

                diabetes mellitus,information technology,health disparities,race/ethnicity,continental population groups,ethnic groups,lift diabetes study

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