For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
8
views
16
references
 Top references
cited by
12
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      58
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: not found

      Evaluation of a Digital Diabetes Prevention Program Adapted for Low-Income Patients, 2016–2018

      research-article
      Author(s): , PhD, MPH 1 , , , PhD 2 , , MD, MPH 1 , , PhD 2 , , DrPH 1 , 3
      Publication date (Electronic):
      Journal: Preventing Chronic Disease
      Publisher: Centers for Disease Control and Prevention

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          We examined the effects of a digitally delivered, type 2 diabetes mellitus prevention program (DPP) for a low-income population.

          Methods

          We conducted a nonrandomized clinical trial with matched controls. The intervention group was offered a digital DPP, a web-based and mobile-based program including 52 weeks of participation in an educational curriculum, health coaching, and peer support.

          Results

          A total of 227 participants enrolled. At baseline, 34.6 was the mean body mass index, and 5.8 was the mean HbA 1c. For the intervention group, mean weight loss was 4.4% at the 12-month follow-up.

          Conclusion

          The modified DPP successfully engaged participants and resulted in weight loss. Low-income patients with prediabetes benefitted from a digitally delivered diabetes intervention. This prevention method should be accessible to a low-income population.

          Related collections

          Most cited references16

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Engagement and outcomes in a digital Diabetes Prevention Program: 3-year update

          S Cameron Sepah, Luohua Jiang, Robert J Ellis … (2017)
          Objective Translations of the Diabetes Prevention Program (DPP) have proliferated in recent years, with increasing expansion to digital formats. Although these DPP translations have consistently shown favorable clinical outcomes, long-term data for digital formats are limited. This study’s objective was to examine clinical outcomes up to 3 years post-baseline and the relationship between program engagement and clinical outcomes in a digital DPP. Research design and methods In a single-arm, non-randomized trial, 220 patients previously diagnosed with prediabetes were enrolled in the Omada Health Program, a commercially available, 16-week DPP-based weight loss intervention followed by an ongoing weight maintenance intervention. Changes in body weight and A1c were assessed annually. Relationships between program engagement during the first year and clinical outcomes across 3 years were examined. Results Participants were socioeconomically diverse (62% women, 50.2% non-Hispanic white, 51.7% college educated or higher). From baseline to 3 years, those participants who completed four or more lessons and nine or more lessons achieved significant sustained weight loss (–3.0% and –2.9%, respectively) and an absolute reduction in A1c (–0.31 and –0.33, respectively) with an average remission from the prediabetes range to the normal glycemic range. Factor analysis of engagement metrics during the first year revealed two underlying dimensions, one comprising lesson completion and health behavior tracking consistency, and the other comprising website logins and group participation. When these two factors were used to predict weight loss, only the logins and group participation factor was a significant predictor of weight loss at 16 weeks and 1 year. Conclusions This study demonstrates significant long-term reductions in body weight and A1c in a digital DPP and identifies patterns of program engagement that predict weight loss.
          Article 0 comments Cited 51 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Insurance Churning Rates For Low-Income Adults Under Health Reform: Lower Than Expected But Still Harmful For Many.

            Benjamin Sommers, Rebecca Gourevitch, Bethany Maylone … (2016)
            Changes in insurance coverage over time, or "churning," may have adverse consequences, but there has been little evidence on churning since implementation of the major coverage expansions in the Affordable Care Act (ACA) in 2014. We explored the frequency and implications of churning through surveying 3,011 low-income adults in Kentucky, which used a traditional expansion of Medicaid; Arkansas, which chose a "private option" expansion that enrolled beneficiaries in private Marketplace plans; and Texas, which opted not to expand. We also compared 2015 churning rates in these states to survey data from 2013, before the coverage expansions. Nearly 25 percent of respondents in 2015 changed coverage during the previous twelve months-a rate lower than some previous predictions. We did not find significantly different churning rates in the three states over time. Common causes of churning were job-related changes and loss of eligibility for Medicaid or Marketplace subsidies. Churning was associated with disruptions in physician care and medication adherence, increased emergency department use, and worsening self-reported quality of care and health status. Even churning without gaps in coverage had negative effects. Churning remains a challenge for many Americans, and policies are needed to reduce its frequency and mitigate its negative impacts.
            Article 0 comments Cited 43 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Disparities in the Prevalence of Diagnosed Diabetes — United States, 1999–2002 and 2011–2014

              Gloria L Beckles, Chiu-Fang Chou (2016)
              The prevalence of diabetes mellitus has increased rapidly in the United States since the mid-1990s. By 2014, an estimated 29.1 million persons, or 9.3% of the total population, had received a diagnosis of diabetes (1). Recent evidence indicates that the prevalence of diagnosed diabetes among non-Hispanic black (black), Hispanic, and poorly educated adults continues to increase but has leveled off among non-Hispanic whites (whites) and persons with higher education (2). During 2004-2010, CDC reported marked racial/ethnic and socioeconomic position disparities in diabetes prevalence and increases in the magnitude of these disparities over time (3). However, the magnitude and extent of temporal change in socioeconomic position disparities in diagnosed diabetes among racial/ethnic populations are unknown. CDC used data from the National Health Interview Survey (NHIS) for the periods 1999-2002 and 2011-2014 to assess the magnitude of and change in socioeconomic position disparities in the age-standardized prevalence of diagnosed diabetes in the overall population and among blacks, whites, and Hispanics. During each period, significant socioeconomic position disparities existed in the overall population and among the assessed racial/ethnic populations. Disparities in prevalence increased with increasing socioeconomic disadvantage and widened over time among Hispanics and whites but not among blacks. The persistent widening of the socioeconomic position gap in prevalence suggests that interventions to reduce the risk for diabetes might have a different impact according to socioeconomic position.
              Article 0 comments Cited 40 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Prev Chronic Dis
                Journal ID (iso-abbrev): Prev Chronic Dis
                Journal ID (publisher-id): PCD
                Title: Preventing Chronic Disease
                Publisher: Centers for Disease Control and Prevention
                ISSN (Electronic): 1545-1151
                Publication date Collection: 2019
                Publication date (Electronic): 27 November 2019
                Volume: 16
                Electronic Location Identifier: E155
                Affiliations
                [1 ]Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
                [2 ]Omada Health, Incorporated, San Francisco, California
                [3 ]Gehr Family Center for Health Systems Science and Innovation, Keck School of Medicine, University of Southern California, Los Angeles, California
                Author notes
                Corresponding Author: Sue E. Kim, PhD, MPH, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, SSB 2001 North Soto St, Ste 318C, Los Angeles, CA 90033. Telephone: 323-865-0385. Email: sueekim@ 123456usc.edu .
                Article
                Publisher ID: 19_0156
                DOI: 10.5888/pcd16.190156
                PMC ID: 6896833
                PubMed ID: 31775010
                SO-VID: da36676d-228d-417c-adf0-7e4168290445
                History
                Categories
                Subject: Original Research
                Series title: Peer Reviewed

                ScienceOpen disciplines: Health & Social care
                Data availability:
                ScienceOpen disciplines: Health & Social care

                Comments

                Comment on this article

                scite_

                Similar content58

                See all similar

                Cited by12

                See all cited by

                Most referenced authors856

                See all reference authors