Literature DB >> 22096422

Demographic and comorbid disparities based on payer type in a total joint arthroplasty cohort: implications in a changing health care arena.

Lucian C Warth1, John J Callaghan, Christopher W Wells, Steve S Liu, Alison Klaassen, Yubo Gao, Richard C Johnston.   

Abstract

INTRODUCTION: The purpose of this study was to compare differences in demographic, functional, access to care, and comorbidity data between a Medicaid and Iowa Care (state Medicaid) insured patient cohort and Medicare and a Commercial Payer patient cohort undergoing lower extremity total joint arthroplasty (TJA). MATERIAL &
METHODS: A retrospective review of 874 primary TKAs and THAs by a single surgeon at an academic institution between January, 2004 and June, 2008 was performed. Data on the primary insurance payer was used to stratify the cohort into two groups; Medicaid and Iowa Care (state Medicaid) insured and Medicare and commercial payer. Demographic, functional, access to care, and comorbidity data obtained from a standard preoperative survey were compared.
RESULTS: Of 874 primary TKAs and THAs, 18.3 % of patients were Medicaid and Iowa Care insured, while 81.7 % were insured by Medicare and commercial payer. Average age was 53.7 and 62.3 respectively, while average BMI was 35.2 and 32.9 respectively. The Medicaid and Iowa Care group was found to be 3 times more likely to smoke tobacco (25.2% v. 8.3%). Preoperative WOMAC Function scores were 33.9 and 46.8, respectively. Self reported diabetes was used as a general surrogate for health comorbidities and occurred in 12.3 % and 11.5%, respectively. Distance traveled was used as a general surrogate for access to care with averages of 92.5 miles and 62.8 miles, respectively.
CONCLUSION: The Medicaid and Iowa Care (state Medicaid) group had significantly higher rates of smoking, were significantly younger, and had significantly lower WOMAC scores (p<0.05) preoperatively. BMI comparison showed a trend to greater obesity in the Medicaid and Iowa Care cohort (p=0.056). Diabetes rates were comparable between the two cohorts. Medicaid and Iowa Care patients traveled 29.7 miles farther, suggesting they had less access to local orthopaedic care. There are major differences in comorbidities and patient demographics between payer types.

Entities:  

Mesh:

Year:  2011        PMID: 22096422      PMCID: PMC3215116     

Source DB:  PubMed          Journal:  Iowa Orthop J        ISSN: 1541-5457


  12 in total

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Authors:  William L Healy; Adam J Rana; Richard Iorio
Journal:  Clin Orthop Relat Res       Date:  2011-01       Impact factor: 4.176

2.  Impact of payer type on resource utilization, outcomes and access to care in total hip arthroplasty.

Authors:  Adrian Hinman; Kevin J Bozic
Journal:  J Arthroplasty       Date:  2008-09       Impact factor: 4.757

3.  Hospital characteristics associated with success in a pay-for-performance program in orthopaedic surgery.

Authors:  Timothy Bhattacharyya; Priyesh Mehta; Andrew A Freiberg
Journal:  J Bone Joint Surg Am       Date:  2008-06       Impact factor: 5.284

4.  Impact of the economic downturn on adult reconstruction surgery: a survey of the American Association of Hip and Knee Surgeons.

Authors:  Richard Iorio; Charles M Davis; William L Healy; Thomas K Fehring; Mary I O'Connor; Sally York
Journal:  J Arthroplasty       Date:  2010-10       Impact factor: 4.757

5.  Hospital economics of primary THA decreasing reimbursement and increasing cost, 1990 to 2008.

Authors:  Adam J Rana; Richard Iorio; William L Healy
Journal:  Clin Orthop Relat Res       Date:  2011-02       Impact factor: 4.176

6.  The Frank Stinchfield Award: the impact of socioeconomic factors on outcome after THA: a prospective, randomized study.

Authors:  R Allen Butler; Seth Rosenzweig; Leann Myers; Robert L Barrack
Journal:  Clin Orthop Relat Res       Date:  2011-02       Impact factor: 4.176

7.  Risk factors in total joint arthroplasty: comparison of infection rates in patients with different socioeconomic backgrounds.

Authors:  Brian G Webb; David M Lichtman; Russell A Wagner
Journal:  Orthopedics       Date:  2008-05       Impact factor: 1.390

8.  Prosthetic joint infection risk after total hip arthroplasty in the Medicare population.

Authors:  Kevin L Ong; Steven M Kurtz; Edmund Lau; Kevin J Bozic; Daniel J Berry; Javad Parvizi
Journal:  J Arthroplasty       Date:  2009-06-02       Impact factor: 4.757

9.  Utilization of elective hip and knee arthroplasty by age and payer.

Authors:  Dan Matlock; Mark Earnest; Anne Epstein
Journal:  Clin Orthop Relat Res       Date:  2008-01-23       Impact factor: 4.176

10.  An analysis of medicare payment policy for total joint arthroplasty.

Authors:  Kevin J Bozic; Harry E Rubash; Thomas P Sculco; Daniel J Berry
Journal:  J Arthroplasty       Date:  2008-06-13       Impact factor: 4.757

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  6 in total

1.  Readmission Rates and Diagnoses Following Total Hip Replacement in Relation to Insurance Payer Status, Race and Ethnicity, and Income Status.

Authors:  Robert S White; Dahniel L Sastow; Licia K Gaber-Baylis; Virginia Tangel; Andrew D Fisher; Zachary A Turnbull
Journal:  J Racial Ethn Health Disparities       Date:  2018-02-12

2.  Medicaid insurance status predicts postoperative mortality after total knee arthroplasty in state inpatient databases.

Authors:  Stephan R Maman; Michael H Andreae; Licia K Gaber-Baylis; Zachary A Turnbull; Robert S White
Journal:  J Comp Eff Res       Date:  2019-10-23       Impact factor: 1.744

3.  Medicaid beneficiaries undergoing complex surgery at quality care centers: insights into the Affordable Care Act.

Authors:  Erin C Hall; Chaoyi Zheng; Russell C Langan; Lynt B Johnson; Nawar Shara; Waddah B Al-Refaie
Journal:  Am J Surg       Date:  2016-01-06       Impact factor: 2.565

4.  Risk factors for early revision after total hip arthroplasty.

Authors:  Christopher J Dy; Kevin J Bozic; Ting Jung Pan; Timothy M Wright; Douglas E Padgett; Stephen Lyman
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-06       Impact factor: 4.794

5.  Medicaid insurance as primary payer predicts increased mortality after total hip replacement in the state inpatient databases of California, Florida and New York.

Authors:  Hannah F Xu; Robert S White; Dahniel L Sastow; Michael H Andreae; Licia K Gaber-Baylis; Zachary A Turnbull
Journal:  J Clin Anesth       Date:  2017-09-30       Impact factor: 9.452

6.  The Impact Of Decision Aids On Adults Considering Hip Or Knee Surgery.

Authors:  Vanessa B Hurley; Hector P Rodriguez; Stephen Kearing; Yue Wang; Ming D Leung; Stephen M Shortell
Journal:  Health Aff (Millwood)       Date:  2020-01       Impact factor: 6.301

  6 in total

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