Literature DB >> 31899170

Cost-Effectiveness of Three Doses of a Behavioral Intervention to Prevent or Delay Type 2 Diabetes in Rural Areas.

Tiffany A Radcliff, Murray J Côté, Melanie D Whittington, Michael J Daniels, Linda B Bobroff, David M Janicke, Michael G Perri.   

Abstract

BACKGROUND: Rural Americans have higher prevalence of obesity and type 2 diabetes (T2D) than urban populations and more limited access to behavioral programs to promote healthy lifestyle habits. Descriptive evidence from the Rural Lifestyle Intervention Treatment Effectiveness trial delivered through local cooperative extension service offices in rural areas previously identified that behavioral modification with both nutrition education and coaching resulted in a lower program delivery cost per kilogram of weight loss maintained at 2-years compared with an education-only comparator intervention.
OBJECTIVE: This analysis extended earlier Rural Lifestyle Intervention Treatment Effectiveness trial research regarding weight loss outcomes to assess whether nutrition education with behavioral coaching delivered through cooperative extension service offices is cost-effective relative to nutrition education only in reducing T2D cases in rural areas.
DESIGN: A cost-utility analysis was conducted. PARTICIPANTS/
SETTING: Trial participants (n=317) from June 2008 through June 2014 were adults residing in rural Florida counties with a baseline body mass index between 30 and 45, but otherwise identified as healthy. INTERVENTION: Trial participants were randomly assigned to low, moderate, or high doses of behavioral coaching with nutrition education (ie, 16, 32, or 48 sessions over 24 months) or a comparator intervention that included 16 sessions of nutrition education without coaching. Participant glycated hemoglobin level was measured at baseline and the end of the trial to assess T2D status. MAIN OUTCOME MEASURES: T2D categories by treatment arm were used to estimate participants' expected annual health care expenditures and expected health-related utility measured as quality adjusted life years (ie, QALYs) over a 5-year time horizon. Discounted incremental costs and QALYs were used to calculate incremental cost-effectiveness ratios for each behavioral coaching intervention dose relative to the education-only comparator. STATISTICAL ANALYSES PERFORMED: Using a third-party payer perspective, Markov transition matrices were used to model participant transitions between T2D states. Replications of the individual participant behavior were conducted using Monte Carlo simulation.
RESULTS: All three doses of the behavioral coaching intervention had lower expected total costs and higher estimated QALYs than the education-only comparator. The moderate dose behavioral coaching intervention was associated with higher estimated QALYs but was costlier than the low dose; the moderate dose was favored over the low dose with willingness to pay thresholds over $107,895/QALY. The low dose behavioral coaching intervention was otherwise favored.
CONCLUSIONS: Because most rural Americans live in counties with cooperative extension service offices, nutrition education with behavioral coaching programs similar to those delivered through this trial may be effective and efficient in preventing or delaying T2D-associated consequences of obesity for rural adults.
Copyright © 2020 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Behavioral modification; Cost-effectiveness; Diabetes; Randomized trial; Rural obesity

Mesh:

Substances:

Year:  2019        PMID: 31899170      PMCID: PMC7321861          DOI: 10.1016/j.jand.2019.10.025

Source DB:  PubMed          Journal:  J Acad Nutr Diet        ISSN: 2212-2672            Impact factor:   4.910


  31 in total

1.  MSJAMA. Where we live: health care in rural vs urban America.

Authors:  Jane van Dis
Journal:  JAMA       Date:  2002-01-02       Impact factor: 56.272

2.  Comparing Costs of Telephone vs Face-to-Face Extended-Care Programs for the Management of Obesity in Rural Settings.

Authors:  Tiffany A Radcliff; Linda B Bobroff; Lesley D Lutes; Patricia E Durning; Michael J Daniels; Marian C Limacher; David M Janicke; A Daniel Martin; Michael G Perri
Journal:  J Acad Nutr Diet       Date:  2012-07-19       Impact factor: 4.910

Review 3.  Meta- and cost-effectiveness analysis of commercial weight loss strategies.

Authors:  Eric A Finkelstein; Eliza Kruger
Journal:  Obesity (Silver Spring)       Date:  2014-06-24       Impact factor: 5.002

4.  Effect of weight loss with lifestyle intervention on risk of diabetes.

Authors:  Richard F Hamman; Rena R Wing; Sharon L Edelstein; John M Lachin; George A Bray; Linda Delahanty; Mary Hoskin; Andrea M Kriska; Elizabeth J Mayer-Davis; Xavier Pi-Sunyer; Judith Regensteiner; Beth Venditti; Judith Wylie-Rosett
Journal:  Diabetes Care       Date:  2006-09       Impact factor: 19.112

5.  EQ-5D Scores for Diabetes-Related Comorbidities.

Authors:  Patrick W Sullivan; Vahram H Ghushchyan
Journal:  Value Health       Date:  2016-07-15       Impact factor: 5.725

6.  Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010.

Authors:  Katherine M Flegal; Margaret D Carroll; Brian K Kit; Cynthia L Ogden
Journal:  JAMA       Date:  2012-01-17       Impact factor: 56.272

Review 7.  The Effectiveness and Cost of Lifestyle Interventions Including Nutrition Education for Diabetes Prevention: A Systematic Review and Meta-Analysis.

Authors:  Yu Sun; Wen You; Fabio Almeida; Paul Estabrooks; Brenda Davy
Journal:  J Acad Nutr Diet       Date:  2017-03       Impact factor: 4.910

8.  Comparative effectiveness of three doses of weight-loss counseling: two-year findings from the rural LITE trial.

Authors:  Michael G Perri; Marian C Limacher; Kristina von Castel-Roberts; Michael J Daniels; Patricia E Durning; David M Janicke; Linda B Bobroff; Tiffany A Radcliff; Vanessa A Milsom; Chanmin Kim; A Daniel Martin
Journal:  Obesity (Silver Spring)       Date:  2014-11       Impact factor: 5.002

9.  Diagnosis and classification of diabetes mellitus.

Authors: 
Journal:  Diabetes Care       Date:  2010-01       Impact factor: 19.112

10.  Economic costs of diabetes in the U.S. in 2012.

Authors: 
Journal:  Diabetes Care       Date:  2013-03-06       Impact factor: 19.112

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  1 in total

Review 1.  Burden and management of type 2 diabetes in rural United States.

Authors:  Sagar B Dugani; Michelle M Mielke; Adrian Vella
Journal:  Diabetes Metab Res Rev       Date:  2020-10-05       Impact factor: 8.128

  1 in total

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