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Return on Investment for Digital Behavioral Counseling in Patients With Prediabetes and Cardiovascular Disease
INTRODUCTION: We calculated the health and economic impacts of participation in a digital behavioral counseling service that is designed to promote a healthful diet and physical activity for cardiovascular disease prevention in adults with prediabetes and cardiovascular disease risk factors (Prevent...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747438/ https://www.ncbi.nlm.nih.gov/pubmed/26820045 http://dx.doi.org/10.5888/pcd13.150357 |
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author | Su, Wenqing Chen, Fang Dall, Timothy M. Iacobucci, William Perreault, Leigh |
author_facet | Su, Wenqing Chen, Fang Dall, Timothy M. Iacobucci, William Perreault, Leigh |
author_sort | Su, Wenqing |
collection | PubMed |
description | INTRODUCTION: We calculated the health and economic impacts of participation in a digital behavioral counseling service that is designed to promote a healthful diet and physical activity for cardiovascular disease prevention in adults with prediabetes and cardiovascular disease risk factors (Prevent, Omada Health, San Francisco, California). This program enhances the Centers for Disease Control and Prevention’s Diabetes Prevention Recognition Program. Participants completed a 16-week core program followed by an ongoing maintenance program. METHODS: Analysis was conducted for 2 populations meeting criteria for lifestyle intervention: 1) prediabetes (n = 1,663), and 2) high cardiovascular disease risk (n = 2,152). The Markov-based model simulated clinical and economic outcomes related to obesity and diabetes annually over 10 years for the 2 defined populations. Comparisons were made between participants and propensity-matched controls from the community. RESULTS: The return-on-investment break-even point was 3 years in both populations. Simulated return on investment for the population with prediabetes was $9 and $1,565 at years 3 and 5, respectively. Simulated return on investment for the population with cardiovascular disease risk was $96 and $1,512 at years 3 and 5, respectively. Results suggest that program participation reduces diabetes incidence by 30% to 33% and stroke by 11% to 16% over 5 years. CONCLUSION: Digital Behavioral Counseling provides significant health benefits to patients with prediabetes and cardiovascular disease and a positive return on investment. |
format | Online Article Text |
id | pubmed-4747438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-47474382016-02-25 Return on Investment for Digital Behavioral Counseling in Patients With Prediabetes and Cardiovascular Disease Su, Wenqing Chen, Fang Dall, Timothy M. Iacobucci, William Perreault, Leigh Prev Chronic Dis Original Research INTRODUCTION: We calculated the health and economic impacts of participation in a digital behavioral counseling service that is designed to promote a healthful diet and physical activity for cardiovascular disease prevention in adults with prediabetes and cardiovascular disease risk factors (Prevent, Omada Health, San Francisco, California). This program enhances the Centers for Disease Control and Prevention’s Diabetes Prevention Recognition Program. Participants completed a 16-week core program followed by an ongoing maintenance program. METHODS: Analysis was conducted for 2 populations meeting criteria for lifestyle intervention: 1) prediabetes (n = 1,663), and 2) high cardiovascular disease risk (n = 2,152). The Markov-based model simulated clinical and economic outcomes related to obesity and diabetes annually over 10 years for the 2 defined populations. Comparisons were made between participants and propensity-matched controls from the community. RESULTS: The return-on-investment break-even point was 3 years in both populations. Simulated return on investment for the population with prediabetes was $9 and $1,565 at years 3 and 5, respectively. Simulated return on investment for the population with cardiovascular disease risk was $96 and $1,512 at years 3 and 5, respectively. Results suggest that program participation reduces diabetes incidence by 30% to 33% and stroke by 11% to 16% over 5 years. CONCLUSION: Digital Behavioral Counseling provides significant health benefits to patients with prediabetes and cardiovascular disease and a positive return on investment. Centers for Disease Control and Prevention 2016-01-28 /pmc/articles/PMC4747438/ /pubmed/26820045 http://dx.doi.org/10.5888/pcd13.150357 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Original Research Su, Wenqing Chen, Fang Dall, Timothy M. Iacobucci, William Perreault, Leigh Return on Investment for Digital Behavioral Counseling in Patients With Prediabetes and Cardiovascular Disease |
title | Return on Investment for Digital Behavioral Counseling in Patients With Prediabetes and Cardiovascular Disease |
title_full | Return on Investment for Digital Behavioral Counseling in Patients With Prediabetes and Cardiovascular Disease |
title_fullStr | Return on Investment for Digital Behavioral Counseling in Patients With Prediabetes and Cardiovascular Disease |
title_full_unstemmed | Return on Investment for Digital Behavioral Counseling in Patients With Prediabetes and Cardiovascular Disease |
title_short | Return on Investment for Digital Behavioral Counseling in Patients With Prediabetes and Cardiovascular Disease |
title_sort | return on investment for digital behavioral counseling in patients with prediabetes and cardiovascular disease |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747438/ https://www.ncbi.nlm.nih.gov/pubmed/26820045 http://dx.doi.org/10.5888/pcd13.150357 |
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