Literature DB >> 29892045

Insurance status differences in weight loss and regain over 5 years following bariatric surgery.

Erin Takemoto1, Bruce M Wolfe2, Corey L Nagel3, Walter Pories4, David R Flum5, Alfons Pomp6, James Mitchell7, Janne Boone-Heinonen3.   

Abstract

BACKGROUND: The effectiveness of bariatric surgery among Medicaid beneficiaries, a population with a disproportionately high burden of obesity, remains unclear. We sought to determine if weight loss and regain following bariatric surgery differed in Medicaid patients compared to commercial insurance. SUBJECTS/
METHODS: Data from the Longitudinal Assessment of Bariatric Surgery, a ten-site observational cohort of adults undergoing bariatric surgery (2006-2009) were examined for patients who underwent Roux-en-Y Gastric Bypass (RYGB), Laparoscopic Adjustable Band (LAGB), or Sleeve Gastrectomy (SG). Using piecewise spline linear mixed-effect models, weight change over 5 years was modeled as a function of insurance type (Medicaid, N = 190; commercially insured, N = 1448), time, procedure type, and sociodemographic characteristics; additionally, interactions between all time, insurance, and procedure type indicators allowed time- and procedure-specific associations with insurance type. For each time-spline, mean (kg) difference in weight change in commercially insured versus Medicaid patients was calculated.
RESULTS: Medicaid patients had higher mean weight at baseline (138.3 kg vs. 131.2 kg). From 0 to 1 year post-operatively, Medicaid patients lost similar amounts of weight to commercial patients following all procedure types (mean weight Δ difference [95% CI]: RYGB: -0.9 [-3.2, 1.4]; LAGB: -1.5 [-6.7, 3.8]; SG: 5.1 [-4.0, 14.2]). From 1 to 3 years post-operatively Medicaid and commercial patients continued to experience minimal weight loss or began to slowly regain weight (mean weight Δ difference [95% CI]: RYGB: 0.9 [0.0, 2.0]; LAGB: -2.1 [-4.2, 0.1]; SG: 0.7 [-3.0, 4.3]). From 3 to 5 years post-operatively, the rate of regain tended to be faster among commercial patients compared to Medicaid patients (mean weight Δ difference [95% CI]: RYGB: 1.1 [0.1, 2.0]; LAGB: 1.5 [-0.5, 3.5]; SG: 1.0 [-2.5, 4.5]).
CONCLUSIONS: Although Medicaid patients had a higher baseline weight, they achieved similar amounts of weight loss and tended to regain weight at a slower rate than commercial patients.

Entities:  

Mesh:

Year:  2018        PMID: 29892045      PMCID: PMC6817973          DOI: 10.1038/s41366-018-0131-0

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  25 in total

1.  The NIDDK Bariatric Surgery clinical Research Consortium (LABS).

Authors:  Steven Belle
Journal:  Surg Obes Relat Dis       Date:  2005 Mar-Apr       Impact factor: 4.734

2.  The impact of medicaid status on outcome after gastric bypass.

Authors:  J Wesley Alexander; Hope R Goodman; Lisa R Martin Hawver; Laura James
Journal:  Obes Surg       Date:  2008-07-10       Impact factor: 4.129

Review 3.  Psychological and social aspects of the surgical treatment of obesity.

Authors:  A J Stunkard; J L Stinnett; J W Smoller
Journal:  Am J Psychiatry       Date:  1986-04       Impact factor: 18.112

Review 4.  Long-term follow-up after bariatric surgery: a systematic review.

Authors:  Nancy Puzziferri; Thomas B Roshek; Helen G Mayo; Ryan Gallagher; Steven H Belle; Edward H Livingston
Journal:  JAMA       Date:  2014-09-03       Impact factor: 56.272

Review 5.  Safety and efficacy of bariatric surgery: Longitudinal Assessment of Bariatric Surgery.

Authors:  Steven H Belle; Paul D Berk; Anita P Courcoulas; David R Flum; Carolyn W Miles; James E Mitchell; Walter J Pories; Bruce M Wolfe; Susan Z Yanovski
Journal:  Surg Obes Relat Dis       Date:  2007 Mar-Apr       Impact factor: 4.734

6.  Socioeconomic disparities in eligibility and access to bariatric surgery: a national population-based analysis.

Authors:  Matthew Martin; Alec Beekley; Randy Kjorstad; James Sebesta
Journal:  Surg Obes Relat Dis       Date:  2009-07-17       Impact factor: 4.734

7.  Socioeconomic characteristics of the population eligible for obesity surgery.

Authors:  Edward H Livingston; Clifford Y Ko
Journal:  Surgery       Date:  2004-03       Impact factor: 3.982

8.  Baseline characteristics of participants in the Longitudinal Assessment of Bariatric Surgery-2 (LABS-2) study.

Authors:  Steven H Belle; Paul D Berk; William H Chapman; Nicholas J Christian; Anita P Courcoulas; Greg F Dakin; David R Flum; Mary Horlick; Wendy C King; Carol A McCloskey; James E Mitchell; Emma J Patterson; John R Pender; Kristine J Steffen; Richard C Thirlby; Bruce M Wolfe; Susan Z Yanovski
Journal:  Surg Obes Relat Dis       Date:  2013-03-07       Impact factor: 4.734

9.  One-year Surgical Outcomes and Costs for Medicaid Versus Non-Medicaid Patients Undergoing Laparoscopic Roux-en-Y Gastric Bypass: A Single-Center Study.

Authors:  Ellie Y Chen; Benjamin T Fox; Andrew Suzo; Jacob A Greenberg; Guilherme M Campos; Michael J Garren; Luke M Funk
Journal:  Surg Laparosc Endosc Percutan Tech       Date:  2016-02       Impact factor: 1.719

10.  Validity of self-reported weights following bariatric surgery.

Authors:  Nicholas J Christian; Wendy C King; Susan Z Yanovski; Anita P Courcoulas; Steven H Belle
Journal:  JAMA       Date:  2013-12-11       Impact factor: 56.272

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  3 in total

1.  Physical and Mental Health-Related Quality of Life Changes Among Insurer Subgroups Following Bariatric Surgery.

Authors:  Erin Takemoto; Bruce M Wolfe; Corey L Nagel; Janne Boone-Heinonen
Journal:  Obesity (Silver Spring)       Date:  2020-01-27       Impact factor: 5.002

2.  The impact of the affordable care act (ACA) Medicaid Expansion on access to minimally invasive surgical care.

Authors:  Emanuel Eguia; Marshall S Baker; Bipan Chand; Patrick J Sweigert; Paul C Kuo
Journal:  Am J Surg       Date:  2019-07-09       Impact factor: 2.565

3.  Reduction in Comorbid Conditions Over 5 Years Following Bariatric Surgery in Medicaid and Commercially Insured Patients.

Authors:  Erin Takemoto; Bruce M Wolfe; Corey L Nagel; Janne Boone-Heinonen
Journal:  Obesity (Silver Spring)       Date:  2018-11       Impact factor: 5.002

  3 in total

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