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Cost-effectiveness of a primary care intervention to treat obesity

Abstract

Background:

Data on the cost-effectiveness of the behavioral treatment of obesity are not conclusive. The cost-effectiveness of treatment in primary care settings is particularly relevant.

Methods:

We conducted a within-trial cost-effectiveness analysis of a primary care-based obesity intervention. Study participants were randomized to: Usual Care (UC; quarterly visits with their primary care provider); Brief Lifestyle Counseling (BLC; quarterly provider visits plus monthly weight loss counseling visits) or Enhanced Brief Lifestyle Counseling (EBLC; all above interventions, plus choice of meal replacements or weight loss medication). A health-care payer perspective was used. Intervention costs were estimated from tracking data obtained prospectively. Quality-adjusted life years (QALYs) were estimated with the EuroQol-5D. We estimated cost per kilogram-year of weight loss and cost per QALY.

Results:

Weight losses after 2 years were 1.7, 2.9 and 4.6 kg for UC, BLC and EBLC, respectively (P=0.003 for comparison of EBLC vs UC). The incremental cost per kilogram-year lost was $292 for EBLC compared with UC (95% confidence interval (CI): $219–$437). The short-term incremental cost per QALY was $115 397, but the 95% CI were undefined. Comparison of short-term cost per kg with published estimates of longer-term cost per QALY suggested that the intervention could be cost-effective over the long term (10 years).

Conclusions:

A primary care intervention that includes monthly counseling visits and a choice of meal replacements or weight loss medication could be a cost-effective treatment for obesity over the long term. However, additional studies are needed on the cost-effectiveness of behavioral treatment of obesity.

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References

  1. Finkelstein EA, Trogdon JG, Cohen JW, Dietz W . Annual medical spending attributable to obesity: payer-and service-specific estimates. Health Aff 2009; 28: 822–831.

    Article  Google Scholar 

  2. Trogdon JG, Finkelstein EA, Hylands T, Dellea PS, Kamal-Bahl SJ . Indirect costs of obesity: a review of the current literature. Obes Rev 2008; 9: 489–500.

    Article  CAS  Google Scholar 

  3. Leblanc ES, O’Connor E, Whitlock EP, Patnode CD, Kapka T . Effectiveness of primary care-relevant treatments for obesity in adults: a systematic evidence review for the US Preventive Services Task Force. Ann Intern Med 2011; 155: 434–447.

    Article  Google Scholar 

  4. Rao G, Burke LE, Spring BJ, Ewing LJ, Turk M, Lichtenstein AH et al. New and emerging weight management strategies for busy ambulatory settings: a scientific statement from the American Heart Association endorsed by the Society of Behavioral Medicine. Circulation 2011; 124: 1182–1203.

    Article  Google Scholar 

  5. Tsai AG, Wadden TA . Treatment of obesity in primary care practice in the United States: a systematic review. J Gen Intern Med 2009; 24: 1073–1079.

    Article  Google Scholar 

  6. Centers for Medicaid and Medicare Services. Decision memo for intensive behavioral therapy for obesity (CAG-00423N). Available at:. http://www.cms.gov/medicare-coverage-database/details/nca-decision-memo.aspx?NCAId=253&ver=4&NcaName=Intensive+Behavioral+Therapy+for+Obesity&DocID=CAG-00423N&from2=search.asp&bc=gAAAAAgAIAAA& . Accessed on 14 December 2012.

  7. Buchwald H, Avidor Y, Braunwald E, Jenson MD, Poires W, Fahrbach K et al. Bariatric surgery: a systematic review and meta-analysis. JAMA 2004; 292: 1724–1737.

    Article  CAS  Google Scholar 

  8. Li Z, Maglione M, Tu W, Mojica W, Arterburn D, Shugarman LR et al. Meta-analysis: pharmacologic treatment of obesity. Ann Intern Med 2005; 142: 532–546.

    Article  CAS  Google Scholar 

  9. Wadden TA, Butryn ML, Byrne KJ . Efficacy of lifestyle modification for long-term weight control. Obes Res 2004; 12 (Suppl): 151S–162S.

    Article  Google Scholar 

  10. Diabetes Prevention Program Research Group. Within-trial cost-effectiveness of lifestyle intervention or metformin for the primary prevention of type 2 diabetes. Diabetes Care 2003; 26: 2518–2523.

    Article  Google Scholar 

  11. Eddy DM, Schlessinger L, Kahn R . Clinical outcomes and cost-effectiveness of strategies for managing people at high risk for diabetes. Ann Intern Med 2005; 143: 251–264.

    Article  Google Scholar 

  12. Herman WH, Hoerger TJ, Brandle M, Hicks K, Sorensen S, Zhang P et al. The cost-effectiveness of lifestyle modification or metformin in preventing type 2 diabetes in adults with impaired glucose tolerance. Ann Intern Med 2005; 142: 323–332.

    Article  Google Scholar 

  13. Wadden TA, Volger S, Sarwer DB, Vetter M, Tsai A, Berkowitz R et al. A two-year randomized trial of obesity treatment in primary care practice. N Engl J Med 2011; 365: 1969–1979.

    Article  CAS  Google Scholar 

  14. Expert Panel on Detection and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on the detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 2001; 285: 2486–2497.

    Article  Google Scholar 

  15. Appel LJ, Clark JM, Yeh HC, Wang NY, Coughlin JW, Daumit G et al. Comparative effectiveness of weight-loss interventions in clinical practice. N Engl J Med 2011; 365: 1959–1968.

    Article  CAS  Google Scholar 

  16. Bennett GG, Warner ET, Glasgow RE, Askew S, Goldman J, Ritzwoller D et al. Obesity treatment for socioeconomically disadvantaged patients in primary care practice. Arch Intern Med 2012; 172: 565.

    Article  Google Scholar 

  17. Yeh HC, Clark JM, Emmons KE, Moore RH, Bennett GG, Warner ET et al. Independent but coordinated trials: insights from the practice-based Opportunities for Weight Reduction Trials Collaborative Research Group. Clin Trials 2010; 7: 322–332.

    Article  Google Scholar 

  18. United States Department of Veterans Affairs. Drug Pharmaceutial Prices: Federal Supply Schedule. http://www.pbm.va.gov/drugpharmaceuticalprices.asp Accessed on 1 May 2013.

  19. Herman WH, Brandle M, Zhang P, Williamson DF, Matulik MJ, Ratner RE et al. Costs associated with the primary prevention of type 2 diabetes mellitus in the diabetes prevention program. Diabetes Care 2003; 26: 36–47.

    Article  Google Scholar 

  20. United States Department of Labor Bureau of Labor Statistics. Consumer Price Index. http://www.bls.gov/cpi/ . Accessed on 1 November 2012.

  21. Sullivan PW, Ghushchyan V . Preference-Based EQ-5D index scores for chronic conditions in the United States. Med Decis Making 2006; 26: 410–420.

    Article  Google Scholar 

  22. Omenn GS, Goodman GE, Thornquist MD, Balmes J, Cullen MR, Glass A et al. Risk factors for lung cancer and for intervention effects in CARET, the Beta-Carotene and Retinol Efficacy Trial. J Natl Cancer Inst 1996; 88: 1550–1559.

    Article  CAS  Google Scholar 

  23. Spielman AB, Kanders B, Kienholz M, Blackburn GL . The cost of losing: an analysis of commercial weight-loss programs in a metropolitan area. J Am Coll Nutr 1992; 11: 36–41.

    Article  CAS  Google Scholar 

  24. Glick HA, Doshi JA, Sonnad SS, Polsky D . Economic Evaluation in Clinical Trials 1st edn. Oxford University Press: Oxford, UK, 2007).

    Google Scholar 

  25. Lin DY . Linear regression analysis of censored medical costs. Biostatistics 2000; 1: 35–47.

    Article  CAS  Google Scholar 

  26. Lin DY . Regression analysis of incomplete medical cost data. Stat Med 2003; 22: 1181–1200.

    Article  CAS  Google Scholar 

  27. Diabetes Prevention Program Research G. The 10-year cost-effectiveness of lifestyle intervention or metformin for diabetes prevention: an intent-to-treat analysis of the DPP/DPPOS. Diabetes Care 2012; 35: 723–730.

    Article  Google Scholar 

  28. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002; 346: 393–403.

    Article  CAS  Google Scholar 

  29. Krukowski RA, Tilford JM, Harvey-Berino J, West DS . Comparing behavioral weight loss modalities: incremental cost-effectiveness of an internet-based versus an in-person condition. Obesity 2011; 19: 1629–1635.

    Article  Google Scholar 

  30. Roux L, Kuntz KM, Donaldson C, Goldie SJ . Economic evaluation of weight loss interventions in overweight and obese women. Obesity 2006; 14: 1093–1106.

    Article  Google Scholar 

  31. Gustafson A, Khavjou O, Stearns SC, Keyserling TC, Gizlice Z, Lindsley S et al. Cost-effectiveness of a behavioral weight loss intervention for low-income women: the Weight-Wise Program. Prev Med 2009; 49: 390–395.

    Article  Google Scholar 

  32. Wolf AM, Conaway MR, Crowther JQ, Hazen KY, Nadler JL, Oneida B et al. Translating lifestyle intervention to practice in obese patients with type 2 diabetes: Improving Control with Activity and Nutrition (ICAN) study. Diabetes Care 2004; 27: 1570–1576.

    Article  Google Scholar 

  33. Wolf AM, Siadaty M, Yaeger B, Conaway MR, Crowther JQ, Nadler JL et al. Effects of lifestyle intervention on health care costs: Improving Control with Activity and Nutrition (ICAN). J Am Diet Assoc 2007; 107: 1365–1373.

    Article  Google Scholar 

  34. John LK, Loewenstein G, Troxel AB, Norton L, Fassbender JE, Volpp KG . Financial incentives for extended weight loss: a randomized, controlled trial. J Gen Intern Med 2011; 26: 621–626.

    Article  Google Scholar 

  35. Anderson JW, Jhaveri MA . Reductions in medications with substantial weight loss with behavioral intervention. Curr Clin Pharmacol 2010; 5: 232–238.

    Article  Google Scholar 

  36. Collins RW, Anderson JW . Medication cost savings associated with weight loss for obese non-insulin-dependent diabetic men and women. Prev Med 1995; 24: 369–374.

    Article  CAS  Google Scholar 

  37. Redmon JB, Bertoni AG, Connelly S, Feeney PA, Glasser SP, Glick H et al. Effect of the look AHEAD study intervention on medication use and related cost to treat cardiovascular disease risk factors in individuals with type 2 diabetes. Diabetes Care 2010; 33: 1153–1158.

    Article  CAS  Google Scholar 

  38. Avenell A, Broom J, Brown TJ, Aucott L, Stearns SC, Smith WCS et al. Systematic review of the long-term effects and economic consequences of treatments for obesity and implications for health improvement. Health Technol Assess 2004; 8: 1–182.

    Article  Google Scholar 

  39. Galani C, Schneider H, Rutten FF . Modelling the lifetime costs and health effects of lifestyle intervention in the prevention and treatment of obesity in Switzerland. Int J Public Health 2007; 52: 372–382.

    Article  Google Scholar 

  40. McConnon A, Kirk SF, Cockroft JE, Harvey EL, Greenwood DC, Thomas JD et al. The Internet for weight control in an obese sample: results of a randomised controlled trial. BMC Health Serv Res 2007; 7: 206.

    Article  Google Scholar 

  41. Tsai AG, Glick HA, Shera D, Stern L, Samaha FF . Cost-effectiveness of a low-carbohydrate diet and a standard diet in severe obesity. Obes Res 2005; 13: 1834–1840.

    Article  CAS  Google Scholar 

  42. Olsen J, Willaing I, Ladelund S, Jorgensen T, Gundgaard J, Sorensen J . Cost-effectiveness of nutritional counseling for obese patients and patients at risk of ischemic heart disease. Int J Technol Assess Health Care 2005; 21: 194–202.

    Article  Google Scholar 

  43. van Baal PH, van den Berg M, Hoogenveen RT, Vijgen SM, Engelfriet PM . Cost-effectiveness of a low-calorie diet and orlistat for obese persons: modeling long-term health gains through prevention of obesity-related chronic diseases. Value Health 2008; 11: 1033–1040.

    Article  Google Scholar 

  44. Zhang P, Lawlor M, Davis C, Dotson K, Rushing J, Espeland M et al. Costs associated with delivering a structured lifestyle intervention and diabetes education program in overweight and obese adults with type 2 diabetes: year 4 results from the Action for Health in Diabetes (Look AHEAD) Study. Diabetes Care 2011; 60: A68.

    Google Scholar 

  45. Look AHEAD Research Group. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the Look AHEAD trial. Arch Intern Med 2010; 170: 1566–1575.

    Google Scholar 

  46. Baicker K, Cutler D, Song Z . Workplace wellness programs can generate savings. Health Aff 2010; 29: 304–311.

    Article  Google Scholar 

  47. Russell LB . Preventing chronic disease: an important investment, but don’t count on cost savings. Health Aff 2009; 28: 42–45.

    Article  Google Scholar 

  48. O’Grady MJ, Capretta JC . Assessing the Economics of Obesity and Obesity Interventions. Campaign to End Obesity: Washington, DC, 2012.

    Google Scholar 

  49. National Institute for Clinical Excellence. NICE issues guidance on Orlistat for obesity. 2001; http://www.nice.org.uk/guidance/index.jsp?action=article&o=32161. Accessed on 20 April 2012.

  50. Heshka S, Anderson JW, Atkinson RL, Greenway FL, Hill JO, Phinney SD et al. Weight loss with self-help compared with a structured commercial program: a randomized trial. JAMA 2003; 289: 1792–1798.

    Article  Google Scholar 

  51. Jebb SA, Ahern AL, Olson AD, Aston LM, Holzapfel C, Stoll J et al. Primary care referral to a commercial provider for weight loss treatment versus standard care: a randomised controlled trial. Lancet 2011; 378: 1485–1492.

    Article  Google Scholar 

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Acknowledgements

This research was supported by grants from the National Heart, Lung and Blood Institute (U01-HL087072) and the National Institute of Diabetes and Digestive and Kidney Diseases (K24-DK065018).

This article is published as part of a supplement, sponsored by the Center for Weight and Eating Disorders—University of Pennsylvania.

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Authors and Affiliations

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Correspondence to A G Tsai.

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Competing interests

AGT has received grant support from the American Heart Association (AHA), Agency for Healthcare Research and Quality (AHRQ) and American Academy of Family Physicians (AAFP) Foundation. TAW serves on the advisory boards of Novo Nordisk and Orexigen Therapeutics, which are developing weight loss medications, as well as of Alere and the Cardiometabolic Support Network, which provide behavioral weight loss programs. TAW has also served as a consultant for Boehringer Ingelheim, and has received grant support from the National Institutes of Health (NIH/NIDDK and NIH/NHLBI). DBS discloses that he has relationships with the following companies: Allergan, BariMD, BaroNova, Enteromedics and Galderma. DBS has also received grant support from the National Institutes of Health (NIH). HAG has received grant support from the National Institutes of Health (NIH/NHLBI). The remaining authors declare no conflict of interest.

Additional information

Members are listed in the Appendix.

Appendix

Appendix

POWER-UP Research Group: Investigators and Research Coordinators

Academic investigators at the Perelman School of Medicine at the University of Pennsylvania were Thomas A Wadden, PhD (principal investigator), David B Sarwer, PhD (co-principal investigator), Robert I Berkowitz, MD, Jesse Chittams, MS, Lisa Diewald, MS, RD, Shiriki Kumanyika, PhD, Renee Moore, PhD, Kathryn Schmitz, PhD, Adam G Tsai, MD, MSCE, Marion Vetter, MD and Sheri Volger, MS, RD.

Research coordinators at the University of Pennsylvania were Caroline H Moran, BA, Jeffrey Derbas, BS, Megan Dougherty, BS, Zahra Khan, BA, Jeffrey Lavenberg, MA, Eva Panigrahi, MA, Joanna Evans, BA, Ilana Schriftman, BA, Dana Tioxon, Victoria Webb, BA and Catherine Williams-Smith, BS.

POWER-UP Research Group: Participating Sites and Clinical Investigators

PennCare—Bala Cynwyd Medical Associates: Ronald Barg, MD, Nelima Kute, MD, David Lush, MD, Celeste Mruk, MD, Charles Orellana, MD and Gail Rudnitsky, MD (primary care providers); Angela Monroe (lifestyle coach); Lisa Anderson (practice administrator).

PennCare—Internal Medicine Associates of Delaware County: David E Eberly, MD, Albert H Fink Jr, MD, Kathleen Malone, CRNP, Peter B Nonack, MD, Daniel Soffer, MD, John N Thurman, MD and Marc J Wertheimer, MD (primary care providers); Barbara Jean Shovlin, Lanisha Johnson (lifestyle coaches); Jill Esrey (practice administrator).

PennCare—Internal Medicine Mayfair: Jeffrey Heit, MD, Barbara C Joebstl, MD and Oana Vlad, MD (primary care providers); Rose Schneider, Tammi Brandley (lifestyle coaches); Linda Jelinski (practice administrator).

Penn Presbyterian Medical Associates: Joel Griska, MD, Karen J Nichols, MD, Edward G Reis, MD, James W Shepard, MD and Doris Davis-Whitely, PA (primary care providers); Dana Tioxon (lifestyle coach); Charin Sturgis (practice administrator).

PennCare—University City Family Medicine: Katherine Fleming, CRNP, Dana B Greenblatt, MD, Lisa Schaffer, DO, Tamara Welch, MD and Melissa Rosato, MD (primary care providers); Eugonda Butts, Marta Ortiz, Marysa Nieves and Alethea White (lifestyle coach); Cassandra Bullard (practice administrator).

PennCare—West Chester Family Practice: Jennifer DiMedio, CRNP, Melanie Ice, DO, Brandt Loev, DO, John S Potts, DO and Christine Tressel, DO (primary care providers); Iris Perez, Penny Rancy and Dianne Rittenhouse (lifestyle coaches); Joanne Colligan (practice administrator).

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Tsai, A., Wadden, T., Volger, S. et al. Cost-effectiveness of a primary care intervention to treat obesity. Int J Obes 37 (Suppl 1), S31–S37 (2013). https://doi.org/10.1038/ijo.2013.94

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