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Within-Trial Cost-Effectiveness of a Structured Lifestyle Intervention in Adults With Overweight/Obesity and Type 2 Diabetes: Results From the Action for Health in Diabetes (Look AHEAD) Study.
Zhang, Ping; Atkinson, Karen M; Bray, George A; Chen, Haiying; Clark, Jeanne M; Coday, Mace; Dutton, Gareth R; Egan, Caitlin; Espeland, Mark A; Evans, Mary; Foreyt, John P; Greenway, Frank L; Gregg, Edward W; Hazuda, Helen P; Hill, James O; Horton, Edward S; Hubbard, Van S; Huckfeldt, Peter J; Jackson, Sharon D; Jakicic, John M; Jeffery, Robert W; Johnson, Karen C; Kahn, Steven E; Killean, Tina; Knowler, William C; Korytkowski, Mary; Lewis, Cora E; Maruthur, Nisa M; Michaels, Sara; Montez, Maria G; Nathan, David M; Patricio, Jennifer; Peters, Anne; Pi-Sunyer, Xavier; Pownall, Henry; Redmon, Bruce; Rushing, Julia T; Steinburg, Helmut; Wadden, Thomas A; Wing, Rena R; Wyatt, Holly; Yanovski, Susan Z.
Afiliación
  • Zhang P; Centers for Disease Control and Prevention, Atlanta, GA paz2@cdc.gov.
  • Atkinson KM; VA Puget Sound Health Care System and University of Washington, Seattle, WA.
  • Bray GA; Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA.
  • Chen H; Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
  • Clark JM; Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD.
  • Coday M; Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN.
  • Dutton GR; Division of Preventive Medicine, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL.
  • Egan C; Weight Control and Diabetes Research Center, The Miriam Hospital, Providence RI.
  • Espeland MA; Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
  • Evans M; National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
  • Foreyt JP; Department of Medicine, Baylor College of Medicine, Houston, TX.
  • Greenway FL; Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA.
  • Gregg EW; Department of Epidemiology and Biostatistics, Imperial College London, London, U.K.
  • Hazuda HP; Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX.
  • Hill JO; Department of Nutrition Sciences, The University of Alabama at Birmingham, Birmingham, AL.
  • Horton ES; Department of Medicine, Joslin Diabetes Center, Boston, MA.
  • Hubbard VS; National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
  • Huckfeldt PJ; Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN.
  • Jackson SD; Department of Medicine, Joslin Diabetes Center, Boston, MA.
  • Jakicic JM; Department of Health and Physical Activity, University of Pittsburgh, Pittsburgh, PA.
  • Jeffery RW; Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN.
  • Johnson KC; Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN.
  • Kahn SE; VA Puget Sound Health Care System and University of Washington, Seattle, WA.
  • Killean T; National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ.
  • Knowler WC; National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ.
  • Korytkowski M; Department of Medicine, University of Pittsburgh, Pittsburgh, PA.
  • Lewis CE; Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
  • Maruthur NM; Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD.
  • Michaels S; Indian Health Service, Shiprock, NM.
  • Montez MG; Department of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX.
  • Nathan DM; Diabetes Research Center, Massachusetts General Hospital, Boston, MA.
  • Patricio J; Department of Medicine, St. Luke's-Roosevelt Hospital Center, Columbia University, New York, NY.
  • Peters A; Houston Methodist Research Institute, Baylor College of Medicine, Houston, TX.
  • Pi-Sunyer X; Department of Medicine, St. Luke's-Roosevelt Hospital Center, Columbia University, New York, NY.
  • Pownall H; Division of Endocrinology and Diabetes, Keck School of Medicine of the University of Southern California, Los Angeles, CA.
  • Redmon B; Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN.
  • Rushing JT; Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
  • Steinburg H; Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN.
  • Wadden TA; Center for Weight and Eating Disorders, University of Pennsylvania, Philadelphia, PA.
  • Wing RR; Weight Control and Diabetes Research Center, The Miriam Hospital, Providence RI.
  • Wyatt H; Department of Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO.
Diabetes Care ; 44(1): 67-74, 2021 01.
Article en En | MEDLINE | ID: mdl-33168654
ABSTRACT

OBJECTIVE:

To assess the cost-effectiveness (CE) of an intensive lifestyle intervention (ILI) compared with standard diabetes support and education (DSE) in adults with overweight/obesity and type 2 diabetes, as implemented in the Action for Health in Diabetes study. RESEARCH DESIGN AND

METHODS:

Data were from 4,827 participants during their first 9 years of study participation from 2001 to 2012. Information on Health Utilities Index Mark 2 (HUI-2) and HUI-3, Short-Form 6D (SF-6D), and Feeling Thermometer (FT), cost of delivering the interventions, and health expenditures was collected during the study. CE was measured by incremental CE ratios (ICERs) in costs per quality-adjusted life year (QALY). Future costs and QALYs were discounted at 3% annually. Costs were in 2012 U.S. dollars.

RESULTS:

Over the 9 years studied, the mean cumulative intervention costs and mean cumulative health care expenditures were $11,275 and $64,453 per person for ILI and $887 and $68,174 for DSE. Thus, ILI cost $6,666 more per person than DSE. Additional QALYs gained by ILI were not statistically significant measured by the HUIs and were 0.07 and 0.15, respectively, measured by SF-6D and FT. The ICERs ranged from no health benefit with a higher cost based on HUIs to $96,458/QALY and $43,169/QALY, respectively, based on SF-6D and FT.

CONCLUSIONS:

Whether ILI was cost-effective over the 9-year period is unclear because different health utility measures led to different conclusions.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 Tipo de estudio: Health_economic_evaluation Aspecto: Patient_preference Límite: Adult / Humans Idioma: En Revista: Diabetes Care Año: 2021 Tipo del documento: Article País de afiliación: Gabón

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 Tipo de estudio: Health_economic_evaluation Aspecto: Patient_preference Límite: Adult / Humans Idioma: En Revista: Diabetes Care Año: 2021 Tipo del documento: Article País de afiliación: Gabón