Literature DB >> 28987334

Cost effectiveness and return on investment of a scalable community weight loss intervention.

Tzeyu L Michaud1, Wen You2, Kathryn E Wilson3, Dejun Su4, Todd J McGuire5, Fabio A Almeida4, Amy L Bayer6, Paul A Estabrooks3.   

Abstract

This study assessed the lifetime health and economic consequences of an efficacious scalable community weight loss program for overweight and obese adults. We applied a state-transition Markov model to project lifetime economic outcome (US dollar) and the degree of disease averted as a result of a weight loss intervention, compared with no intervention, from a payer perspective. Effect sizes of the intervention on weight loss, by sex, race and ethnicity, and body mass index (BMI) of participants, were derived from a 12-month community program. Relative risk of diseases across BMI levels and other parameters were informed by the literature. A return on investment (ROI) analysis was conducted to present the overall cost-benefit of the program. Simulation results showed that among 33,656 participants and at a cost of $2.88 million, the program was predicted to avert (with a corresponding estimated medical costs saved of) 78 cases of coronary heart disease ($28 million), 9 cases of strokes ($971,832), 92 cases of type 2 diabetes ($24 million), 1 case of colorectal cancer ($357,022), and 3 cases of breast cancer ($483,259) over the participant lifetime. The estimated medical costs saved per participant was $1403 ($1077 of African American men and $1532 of Hispanic men), and the ROI was $16.7 ($12.8 for African American men and $18.3 for Hispanic men) for every $1 invested. We concluded that a scalable efficacious community weight loss program provides a cost-effective approach with significant ROI, which will assist informed decisions for future adoption and dissemination.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cost; Internet intervention; Obesity; Public health

Mesh:

Year:  2017        PMID: 28987334      PMCID: PMC5918290          DOI: 10.1016/j.ypmed.2017.10.011

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  55 in total

1.  Model parameter estimation and uncertainty: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--6.

Authors:  Andrew H Briggs; Milton C Weinstein; Elisabeth A L Fenwick; Jonathan Karnon; Mark J Sculpher; A David Paltiel
Journal:  Value Health       Date:  2012 Sep-Oct       Impact factor: 5.725

2.  A Quasi-Experiment to Assess the Impact of a Scalable, Community-Based Weight Loss Program: Combining Reach, Effectiveness, and Cost.

Authors:  Paul A Estabrooks; Kathryn E Wilson; Todd J McGuire; Samantha M Harden; NithyaPriya Ramalingam; Lia Schoepke; Fabio A Almeida; Amy L Bayer
Journal:  J Gen Intern Med       Date:  2017-04       Impact factor: 5.128

3.  Body mass index and the risk of stroke in men.

Authors:  Tobias Kurth; J Michael Gaziano; Klaus Berger; Carlos S Kase; Kathryn M Rexrode; Nancy R Cook; Julie E Buring; JoAnn E Manson
Journal:  Arch Intern Med       Date:  2002 Dec 9-23

4.  The Diabetes Prevention Program (DPP): description of lifestyle intervention.

Authors: 
Journal:  Diabetes Care       Date:  2002-12       Impact factor: 19.112

5.  Trends and disparities in coronary heart disease, stroke, and other cardiovascular diseases in the United States: findings of the national conference on cardiovascular disease prevention.

Authors:  R Cooper; J Cutler; P Desvigne-Nickens; S P Fortmann; L Friedman; R Havlik; G Hogelin; J Marler; P McGovern; G Morosco; L Mosca; T Pearson; J Stamler; D Stryer; T Thom
Journal:  Circulation       Date:  2000-12-19       Impact factor: 29.690

Review 6.  Markov modeling and discrete event simulation in health care: a systematic comparison.

Authors:  Lachlan Standfield; Tracy Comans; Paul Scuffham
Journal:  Int J Technol Assess Health Care       Date:  2014-04-28       Impact factor: 2.188

Review 7.  Weight-loss outcomes: a systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up.

Authors:  Marion J Franz; Jeffrey J VanWormer; A Lauren Crain; Jackie L Boucher; Trina Histon; William Caplan; Jill D Bowman; Nicolas P Pronk
Journal:  J Am Diet Assoc       Date:  2007-10

Review 8.  Obesity and risk of colorectal cancer: a meta-analysis of 31 studies with 70,000 events.

Authors:  Alireza Ansary Moghaddam; Mark Woodward; Rachel Huxley
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-12       Impact factor: 4.254

9.  Cost-Effectiveness of a Statewide Campaign to Promote Aspirin Use for Primary Prevention of Cardiovascular Disease.

Authors:  Tzeyu L Michaud; Jean Abraham; Hawre Jalal; Russell V Luepker; Sue Duval; Alan T Hirsch
Journal:  J Am Heart Assoc       Date:  2015-12-23       Impact factor: 5.501

Review 10.  Cardiometabolic Risk Factor Changes Observed in Diabetes Prevention Programs in US Settings: A Systematic Review and Meta-analysis.

Authors:  Uma Mudaliar; Azadeh Zabetian; Michael Goodman; Justin B Echouffo-Tcheugui; Ann L Albright; Edward W Gregg; Mohammed K Ali
Journal:  PLoS Med       Date:  2016-07-26       Impact factor: 11.069

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  4 in total

1.  Leveraging Data and Digital Health Technologies to Assess and Impact Social Determinants of Health (SDoH): a State-of-the-Art Literature Review.

Authors:  Kelly J Thomas Craig; Nicole Fusco; Thrudur Gunnarsdottir; Luc Chamberland; Jane L Snowdon; William J Kassler
Journal:  Online J Public Health Inform       Date:  2021-12-24

2.  Sustaining the reach of a scalable weight loss intervention through financial incentives- a pragmatic, feasibility, online randomized trial protocol.

Authors:  Tzeyu L Michaud; Paul A Estabrooks; Wen You; Todd J McGuire; Fabio Almeida; Kelly Karls; Kenya Love; Keyonna King; Jennie Hill; Jill Reed; Gwenndolyn Porter; Dejun Su
Journal:  Contemp Clin Trials       Date:  2020-09-10       Impact factor: 2.226

3.  Obese Breast Cancer Patients and Survivors: Management Considerations.

Authors:  Jennifer Y Sheng; Dipali Sharma; Gerald Jerome; Cesar Augusto Santa-Maria
Journal:  Oncology (Williston Park)       Date:  2018-08-15       Impact factor: 2.533

4.  A Systematic Review of Methods to Predict Weight Trajectories in Health Economic Models of Behavioral Weight-Management Programs: The Potential Role of Psychosocial Factors.

Authors:  Sarah Bates; Thomas Bayley; Paul Norman; Penny Breeze; Alan Brennan
Journal:  Med Decis Making       Date:  2019-12-02       Impact factor: 2.583

  4 in total

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