Medicare Advantage in Soft Tissue Sarcoma May Be Associated with Worse Patient Outcomes
Abstract
:1. Introduction
2. Materials and Methods
2.1. Identification of Study Cohorts
2.2. Independent Variables
2.3. Study Endpoints
2.4. Trends in Insurance Coverage
2.5. Statistical Analysis
3. Results
3.1. Differences in Patient Demographics and Hospital Characteristics
3.2. Comorbidity Differences
3.3. Differences in Postoperative Complication Rates
3.4. Insurance Coverage Trends
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Sateren, W.B.; Trimble, E.L.; Abrams, J.; Brawley, O.; Breen, N.; Ford, L.; McCabe, M.; Kaplan, R.; Smith, M.; Ungerleider, R.; et al. How Sociodemographics, Presence of Oncology Specialists, and Hospital Cancer Programs Affect Accrual to Cancer Treatment Trials. J. Clin. Oncol. 2002, 20, 2109–2117. [Google Scholar] [CrossRef] [PubMed]
- Schneider, A. Overview of Medicaid Managed Care Provisions in the Balanced Budget Act of 1997—Report. Kaiser Family Foundation. 1997. Available online: https://www.kff.org/medicaid/report/overview-of-medicaid-managed-care-provisions-in-2/ (accessed on 17 February 2022).
- Freed, M.; Biniek, J.F.; Damico, A.; Neuman, T. Medicare Advantage in 2021: Enrollment Update and Key Trends; Kaiser Family Foundation: Oakland, CA, USA, 2021. [Google Scholar]
- Levinson, D.R. Medicare Advantage Appeal Outcomes and Audit Findings Raise Concerns about Service and Payment Denials; U.S. Department of Health and Human Services Office of Inspector General: Washington, DC, USA, 2018. [Google Scholar]
- Raoof, M.; Jacobson, G.; Fong, Y. Medicare Advantage Networks and Access to High-Volume Cancer Surgery Hospitals. Ann. Surg. 2021, 274, e315–e319. [Google Scholar] [CrossRef] [PubMed]
- Kim, D.; Meyers, D.J.; Rahman, M.; Trivedi, A.N. Comparison of the use of the top-ranked cancer hospitals between Medicare Advantage and traditional Medicare. Am. J. Manag. Care 2021, 27, e355–e360. [Google Scholar] [CrossRef] [PubMed]
- Misra, A.; Mistry, N.; Grimer, R.; Peart, F. The management of soft tissue sarcoma. J. Plast. Reconstr. Aesthetic Surg. 2009, 62, 161–174. [Google Scholar] [CrossRef] [PubMed]
- Jain, V.; Venigalla, S.; Sebro, R.A.; Karakousis, G.C.; Wilson, R.J.; Weber, K.L.; Shabason, J.E. Association of health insurance status with presentation, treatment and outcomes in soft tissue sarcoma. Cancer Med. 2019, 8, 6295–6304. [Google Scholar] [CrossRef]
- Premier Applied Sciences®, the Research Division of Premier Inc. Premier Healthcare Database White Paper: Data That Informs and Performs. Premier Incorporated 2020. Available online: https://products.premierinc.com/downloads/PremierHealthcareDatabaseWhitepaper.pdf (accessed on 13 October 2022).
- Premier Applied Sciences. Premier Healthcare Database: Data That Informs and Performs. 2020. Available online: https://www.pinc-ai.com/applied-sciences/solutions/?utm_source=google&utm_medium=paid_search&gad=1&gclid=Cj0KCQjwjryjBhD0ARIsAMLvnF9IaNdQAHflub6rZ-zZjoGe3cDjv0k8matB3eO9p09PzLMrekUnaxsaAvzNEALw_wcB (accessed on 11 November 2022).
- Schünemann, H.J.; Vist, G.E.; Higgins, J.P.T.; Santesso, N.; Deeks, J.J.; Glasziou, P.; Akl, E.A.; Guyatt, G.H. Chapter 15: Interpreting results and drawing conclusions. In Cochrane Hand-Book for Systematic Reviews of Interventions Version 6.3; Higgins, J.P.T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M.J., Welch, V.A., Eds.; Cochrane: London, UK, 2022. [Google Scholar]
- Li, Y.; Cen, X.; Cai, X.; Thirukumaran, C.P.; Zhou, J.; Glance, L.G. Medicare Advantage Associated with More Racial Disparity Than Traditional Medicare For Hospital Readmissions. Health Aff. 2017, 36, 1328–1335. [Google Scholar] [CrossRef]
- Voss, R.K.; Chiang, Y.-J.; Torres, K.E.; Guadagnolo, B.A.; Mann, G.N.; Feig, B.W.; Cormier, J.N.; Roland, C.L. Adherence to National Comprehensive Cancer Network Guidelines is Associated with Improved Survival for Patients with Stage 2A and Stages 2B and 3 Extremity and Superficial Trunk Soft Tissue Sarcoma. Ann. Surg. Oncol. 2017, 24, 3271–3278. [Google Scholar] [CrossRef] [Green Version]
- Smartt, A.A.; Jang, E.; Tyler, W.K. Is There an Association Between Insurance Status and Survival and Treatment of Primary Bone and Extremity Soft-tissue Sarcomas? A SEER Database Study. Clin. Orthop. Relat. Res. 2019, 478, 527–536. [Google Scholar] [CrossRef]
- Penumarthy, N.L.; Goldsby, R.E.; Shiboski, S.C.; Wustrack, R.; Murphy, P.; Winestone, L.E. Insurance impacts survival for children, adolescents, and young adults with bone and soft tissue sarcomas. Cancer Med. 2019, 9, 951–958. [Google Scholar] [CrossRef] [Green Version]
- Diessner, B.; Weigel, B.J.; Murugan, P.; Zhang, L.; Poynter, J.N.; Spector, L. Associations of Socioeconomic Status, Public vs Private Insurance, and Race/Ethnicity with Metastatic Sarcoma at Diagnosis. JAMA Netw. Open 2020, 3, e2011087. [Google Scholar] [CrossRef]
- Westermann, C.; Weller, J.; Pedroso, F.; Canner, J.; Pratilas, C.A.; Rhee, D.S. Socioeconomic and health care coverage disparities in children, adolescents, and young adults with sarcoma. Pediatr. Blood Cancer 2020, 67, e28708. [Google Scholar] [CrossRef]
- Malik, A.T.M.; Alexander, J.; Khan, S.N.; Scharschmidt, T.J. Has the Affordable Care Act Been Associated with Increased Insurance Coverage and Early-stage Diagnoses of Bone and Soft-tissue Sarcomas in Adults? Clin. Orthop. Relat. Res. 2020, 479, 493–502. [Google Scholar] [CrossRef] [PubMed]
- Martin, S.; Ulrich, C.; Munsell, M.; Taylor, S.; Lange, G.; Bleyer, A. Delays in Cancer Diagnosis in Underinsured Young Adults and Older Adolescents. Oncologist 2007, 12, 816–824. [Google Scholar] [CrossRef] [PubMed]
- Featherall, J.; Curtis, G.L.; Lawrenz, J.M.; Jin, Y.; George, J.; Scott, J.; Shah, C.; Shepard, D.; Rubin, B.P.; Nystrom, L.M.; et al. Time to treatment initiation and survival in adult localized, high-grade soft tissue sarcoma. J. Surg. Oncol. 2019, 120, 1241–1251. [Google Scholar] [CrossRef] [PubMed]
- Alamanda, V.K.; Delisca, G.O.; Archer, K.R.; Song, Y.; Schwartz, H.S.; Holt, G.E. Incomplete excisions of extremity soft tissue sarcomas are unaffected by insurance status or distance from a sarcoma center. J. Surg. Oncol. 2013, 108, 477–480. [Google Scholar] [CrossRef]
- Nigam, A.; Aminpour, N.; Zeymo, A.; Desale, S.; Villano, A.M.; Unger, K.R.; Aboulafia, A.J.; Al-Refaie, W.B. National evaluation of patterns and predictors of underuse of multimodal therapy for high-risk extremity soft tissue sarcoma. Surgery 2022, 171, 1348–1357. [Google Scholar] [CrossRef]
- Gold, M.; Casillas, G. What Do We Know About Health Care Access and Quality in Medicare Advantage Versus the Traditional Medicare Program? Kaiser Family Foundation: San Francisco, CA, USA, 2014. [Google Scholar]
- Ward, E.M.; Fedewa, S.A.; Cokkinides, V.; Virgo, K. The Association of Insurance and Stage at Diagnosis Among Patients Aged 55 to 74 Years in the National Cancer Database. Cancer J. 2010, 16, 614–621. [Google Scholar] [CrossRef]
- Sadetsky, N.; Elkin, E.P.; Latini, D.M.; DuChane, J.; Carroll, P.R. The CaPSURE Investigators Prostate cancer outcomes among older men: Insurance status comparisons results from CaPSURE database. Prostate Cancer Prostatic Dis. 2007, 11, 280–287. [Google Scholar] [CrossRef] [Green Version]
- Riley, G.F.; Warren, J.L.; Potosky, A.L.; Klabunde, C.N.; Harlan, L.C.; Osswald, M.B. Comparison of Cancer Diagnosis and Treatment in Medicare Fee-for-Service and Managed Care Plans. Med. Care 2008, 46, 1108–1115. [Google Scholar] [CrossRef]
- Kirsner, R.S.; Wilkinson, J.D.; Ma, F.; Pacheco, H.; Federman, D.G. The Association of Medicare Health Care Delivery Systems with Stage at Diagnosis and Survival for Patients with Melanoma. Arch. Dermatol. 2005, 141, 753–757. [Google Scholar] [CrossRef] [Green Version]
- Lee-Feldstein, A.; Feldstein, P.J.; Buchmueller, T. Health Care Factors Related to Stage at Diagnosis and Survival Among Medicare Patients with Colorectal Cancer. Med. Care 2002, 40, 362–374. [Google Scholar] [CrossRef] [PubMed]
- Wang, J.C.; Piple, A.S.; Chen, X.T.; Bedard, N.A.; Callaghan, J.J.; Berry, D.J.; Christ, A.B.; Heckmann, N.D. The Rise of Medicare Advantage: Effects on Total Joint Arthroplasty Patient Care and Research. J. Bone Jt. Surg. 2022, 104, 2145–2152. [Google Scholar] [CrossRef] [PubMed]
- Antol, D.D.; Schwartz, R.; Caplan, A.; Casebeer, A.; Erwin, C.J.; Shrank, W.H.; Powers, B.W. Comparison of Health Care Utilization by Medicare Advantage and Traditional Medicare Beneficiaries with Complex Care Needs. JAMA Health Forum 2022, 3, e223451. [Google Scholar] [CrossRef] [PubMed]
- Alamanda, V.K.; Song, Y.; Schwartz, H.S.; Holt, G.E. Racial Disparities in Extremity Soft-Tissue Sarcoma Outcomes: A Nationwide Analysis. Am. J. Clin. Oncol. 2015, 38, 595–599. [Google Scholar] [CrossRef] [PubMed]
- Patel, S.J.; Pappoppula, L.; Guddati, A.K. Analysis of Trends in Race and Gender Disparities in Incidence-Based Mortality in Patients Diagnosed with Soft Tissue Sarcomas from 2000 to 2016. Int. J. Gen. Med. 2021, ume 14, 3787–3791. [Google Scholar] [CrossRef]
Medicare Advantage n = 595 | Traditional Medicare n = 1048 | p-Value | ||||
---|---|---|---|---|---|---|
Average, Standard Deviation | Average, Standard Deviation | |||||
Age (years) | 75.8 ± 6.9 | 76.1 ± 7.2 | 0.436 | |||
Length of Stay (days) | 3.4 ± 6.4 | 2.8 ± 6.3 | 0.097 | |||
Total Cost | 13,067.77 ± 18,539.77 | 11,011.04 ± 15,392.91 | 0.016 | |||
N | % | N | % | |||
Male Sex | 277 | 46.6 | 546 | 52.1 | 0.036 | |
Race | Asian | 30 | 5.0 | 24 | 2.3 | <0.001 |
Black | 67 | 11.3 | 54 | 5.2 | ||
Other | 20 | 3.4 | 70 | 6.7 | ||
Unknown | 16 | 2.7 | 11 | 1.0 | ||
Caucasian | 462 | 77.6 | 889 | 84.8 | ||
Bed size | <100 | 18 | 3.0 | 33 | 3.1 | 0.405 |
100–199 | 33 | 5.5 | 90 | 8.6 | ||
200–299 | 49 | 8.2 | 92 | 8.8 | ||
399–399 | 65 | 10.9 | 103 | 9.8 | ||
400–499 | 83 | 13.9 | 145 | 13.8 | ||
>500 | 347 | 58.3 | 585 | 55.8 | ||
Rural vs. Urban | Rural | 23 | 3.9 | 86 | 8.2 | <0.001 |
Urban | 572 | 96.1 | 962 | 91.8 | ||
Teaching Status | No | 206 | 34.6 | 353 | 33.7 | 0.837 |
Yes | 389 | 65.4 | 695 | 66.3 | ||
Region | Midwest | 127 | 21.3 | 199 | 19.0 | 0.747 |
Northeast | 104 | 17.5 | 206 | 19.7 | ||
South | 241 | 40.5 | 440 | 42.0 | ||
West | 123 | 20.7 | 203 | 19.4 |
Medicare Advantage N = 595 | Traditional Medicare N = 1048 | p-Value | |||
---|---|---|---|---|---|
N | % | N | % | ||
Congestive Heart Failure | 45 | 7.6 | 70 | 6.7 | 0.500 |
Myocardial Infarction | 29 | 4.9 | 53 | 5.1 | 0.870 |
Valvular Disease | 7 | 1.2 | 9 | 0.9 | 0.529 |
Pulmonary Circulation Disorders | 10 | 1.7 | 14 | 1.3 | 0.576 |
Chronic Pulmonary Disease | 89 | 15.0 | 127 | 12.1 | 0.102 |
Peripheral Vascular Disease | 42 | 7.1 | 47 | 4.5 | 0.027 |
Hypertension | 314 | 52.8 | 568 | 54.2 | 0.578 |
Complicated Hypertension | 80 | 13.4 | 132 | 12.6 | 0.621 |
Cerebrovascular Accident | 40 | 6.7 | 73 | 7.0 | 0.852 |
Hemiplegia/Paraplegia | 5 | 0.8 | 4 | 0.4 | 0.226 |
Other Neurological Disorders | 25 | 4.2 | 36 | 3.4 | 0.430 |
Diabetes, uncomplicated | 100 | 16.8 | 175 | 16.7 | 0.955 |
Diabetes, Complicated | 52 | 8.7 | 91 | 8.7 | 0.969 |
Hypothyroidism | 96 | 16.1 | 127 | 12.1 | 0.022 |
Renal Failure | 67 | 11.3 | 108 | 10.3 | 0.546 |
Liver Disease | 11 | 1.8 | 23 | 2.2 | 0.636 |
Chronic Peptic Ulcer Disease | 2 | 0.3 | 4 | 0.4 | 0.883 |
Blood Loss Anemia | 7 | 1.2 | 4 | 0.4 | 0.058 |
Deficiency Anemia | 20 | 3.4 | 23 | 2.2 | 0.155 |
Coagulopathy | 15 | 2.5 | 22 | 2.1 | 0.580 |
Venous Thromboembolism | 41 | 6.9 | 56 | 5.3 | 0.201 |
Fluid and Electrolyte Disorders | 54 | 9.1 | 109 | 10.4 | 0.388 |
Rheumatic Disease | 12 | 2.0 | 32 | 3.1 | 0.211 |
HIV/AIDS | 0 | 0.0 | 2 | 0.2 | 0.286 |
Lymphoma | 4 | 0.7 | 7 | 0.7 | 0.992 |
Solid Tumor | 595 | 100.0 | 1048 | 100.0 | 0.828 |
Metastatic Cancer | 48 | 8.1 | 68 | 6.5 | 0.230 |
Obesity | 71 | 11.9 | 115 | 11.0 | 0.555 |
Complication | Medicare Advantage N = 595 | Traditional Medicare N = 1048 | Univariate Regression | Multivariate Regression | ||||||
---|---|---|---|---|---|---|---|---|---|---|
N | % | N | % | OR | p-Value | 95%-CI | aOR | p-Value | 95%-CI | |
Sepsis | 15 | 2.52 | 25 | 2.39 | 1.06 | 0.864 | 0.55–2.02 | 0.98 | 0.864 | 0.55–2.02 |
Surgical Site Infection | 15 | 2.52 | 15 | 1.43 | 1.78 | 0.118 | 0.86–3.67 | 1.59 | 0.118 | 0.86–3.67 |
Pulmonary Embolism | 6 | 1.01 | 5 | 0.48 | 2.12 | 0.215 | 0.65–6.99 | 1.98 | 0.215 | 0.65–6.99 |
Deep Vein Thrombosis | 11 | 1.85 | 18 | 1.72 | 1.08 | 0.846 | 0.51–2.30 | 1.03 | 0.846 | 0.51–2.30 |
Wound Dehiscence | 20 | 3.36 | 40 | 3.82 | 0.88 | 0.636 | 0.51–1.51 | 0.89 | 0.636 | 0.51–1.51 |
Seroma | 2 | 0.34 | 4 | 0.38 | 0.88 | 0.883 | 0.16–4.82 | 0.85 | 0.883 | 0.16–4.82 |
Stroke | 2 | 0.34 | 4 | 0.38 | 0.88 | 0.883 | 0.16–4.82 | 1.14 | 0.883 | 0.16–4.82 |
Pneumonia | 7 | 1.18 | 10 | 0.95 | 1.24 | 0.669 | 0.47–3.26 | 1.12 | 0.669 | 0.47–3.26 |
Respiratory Failure | 8 | 1.34 | 23 | 2.19 | 0.61 | 0.228 | 0.27–1.37 | 0.6 | 0.228 | 0.27–1.37 |
Myocardial Infarction | 1 | 0.17 | 6 | 0.57 | 0.29 | 0.255 | 0.04–2.43 | 0.35 | 0.255 | 0.04–2.43 |
Acute Renal Failure | 23 | 3.87 | 53 | 5.06 | 0.75 | 0.27 | 0.46–1.24 | 0.71 | 0.27 | 0.46–1.24 |
Urinary Tract Infection | 20 | 3.36 | 25 | 2.39 | 1.42 | 0.246 | 0.78–2.59 | 1.24 | 0.246 | 0.78–2.59 |
Hematoma | 6 | 1.01 | 11 | 1.05 | 0.96 | 0.937 | 0.35–2.61 | 0.92 | 0.937 | 0.35–2.61 |
Hemarthrosis | 1 | 0.17 | 0 | 0.00 | 1 | - | - | 1 | - | - |
Acute Blood Loss Anemia | 56 | 9.41 | 100 | 9.54 | 0.98 | 0.931 | 0.70–1.39 | 0.96 | 0.816 | 0.67–1.37 |
Hemorrhage | 3 | 0.50 | 6 | 0.57 | 0.88 | 0.857 | 0.22–3.53 | 0.88 | 0.855 | 0.21–3.63 |
Transfusion | 32 | 5.38 | 54 | 5.15 | 1.05 | 0.844 | 0.67–1.64 | 1.04 | 0.861 | 0.66–1.66 |
90-day Readmission | 43 | 7.23 | 75 | 7.16 | 1.01 | 0.958 | 0.68–1.49 | 0.99 | 0.943 | 0.66–1.47 |
90-day In-Hospital Death | 11 | 1.85 | 13 | 1.24 | 1.5 | 0.326 | 0.67–3.37 | 1.38 | 0.447 | 0.60–3.19 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Wang, J.C.; Liu, K.C.; Gettleman, B.S.; Piple, A.S.; Chen, M.S.; Menendez, L.R.; Heckmann, N.D.; Christ, A.B. Medicare Advantage in Soft Tissue Sarcoma May Be Associated with Worse Patient Outcomes. J. Clin. Med. 2023, 12, 5122. https://doi.org/10.3390/jcm12155122
Wang JC, Liu KC, Gettleman BS, Piple AS, Chen MS, Menendez LR, Heckmann ND, Christ AB. Medicare Advantage in Soft Tissue Sarcoma May Be Associated with Worse Patient Outcomes. Journal of Clinical Medicine. 2023; 12(15):5122. https://doi.org/10.3390/jcm12155122
Chicago/Turabian StyleWang, Jennifer C., Kevin C. Liu, Brandon S. Gettleman, Amit S. Piple, Matthew S. Chen, Lawrence R. Menendez, Nathanael D. Heckmann, and Alexander B. Christ. 2023. "Medicare Advantage in Soft Tissue Sarcoma May Be Associated with Worse Patient Outcomes" Journal of Clinical Medicine 12, no. 15: 5122. https://doi.org/10.3390/jcm12155122
APA StyleWang, J. C., Liu, K. C., Gettleman, B. S., Piple, A. S., Chen, M. S., Menendez, L. R., Heckmann, N. D., & Christ, A. B. (2023). Medicare Advantage in Soft Tissue Sarcoma May Be Associated with Worse Patient Outcomes. Journal of Clinical Medicine, 12(15), 5122. https://doi.org/10.3390/jcm12155122