Association of Hospital Flagship System Affiliation on Surgical Outcomes Following Complex Cancer Surgery

Authors:
Muhammad Musaab Munir Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH

Search for other papers by Muhammad Musaab Munir in
Current site
Google Scholar
PubMed
Close
 MD
,
Mujtaba Khalil Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH

Search for other papers by Mujtaba Khalil in
Current site
Google Scholar
PubMed
Close
 MD
,
Muhammad Muntazir Mehdi Khan Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH

Search for other papers by Muhammad Muntazir Mehdi Khan in
Current site
Google Scholar
PubMed
Close
 MBBS
,
Selamawit Woldesenbet Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH

Search for other papers by Selamawit Woldesenbet in
Current site
Google Scholar
PubMed
Close
 PhD
,
Mary Dillhoff Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH

Search for other papers by Mary Dillhoff in
Current site
Google Scholar
PubMed
Close
 MD
,
Susan Tsai Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH

Search for other papers by Susan Tsai in
Current site
Google Scholar
PubMed
Close
 MD
, and
Timothy M. Pawlik Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH

Search for other papers by Timothy M. Pawlik in
Current site
Google Scholar
PubMed
Close
 MD, PhD, MPH, MTS, MBA
Restricted access

Background: We evaluated variations in patient outcomes and financial expenditures following complex cancer surgery across flagship hospitals and their affiliates. Methods: Using Medicare 100% Standard Analytic Files (2018–2021), we identified patients undergoing resection of lung, esophageal, gastric, hepatopancreatobiliary, or colorectal cancer. Flagship hospitals were defined as the highest-volume major teaching hospital within a system in each region. Propensity score matching was performed to create a 1:1 matched cohort to assess the association between flagship systems, hospitals, affiliates, and outcomes. Results: Among 110,670 patients, 55,335 treated within a flagship hospital system (median age, 73 years [IQR, 69–79]; including 29,381 [53.1%] women) were matched with 55,335 patients who were not (median age, 73 years [IQR, 69–79]; including 29,274 [52.9%] women) across 35 regions. Patients at flagship system hospitals had lower 30-day mortality rates than matched controls (4.23% vs 4.88%; difference, −0.65% [95% CI, −0.89% to −0.40%]; P<.001). Mortality was also lower at flagship hospitals (2.76% vs 3.82%; difference, −1.06% [95% CI, −1.62% to −0.50%]) and flagship affiliates (4.46% vs 4.79%; difference, −0.32% [95% CI, −0.58 to −0.07]) compared with controls (both P<.001). However, patients who underwent cancer surgery at flagship hospital systems had higher expenditures ($21,011 vs $20,016; difference, +$995 [95% CI, $797 to $1,193]; P<.001). Conclusions: Flagship hospitals are the primary drivers of decreased postoperative mortality following complex oncologic surgical procedures performed within their systems, although expenditures were higher compared with unaffiliated hospitals.

Submitted May 17, 2024; final revision received November 21, 2024; accepted for publication December 9, 2024.

Author contributions: Conception: All authors. Design: All authors. Analysis: Munir, Woldesenbet. Writing—original draft: Khan, Dillhoff, Tsai, Pawlik. Writing—review & editing: All authors.

Data availability statement: The data for this study were obtained from the Medicare Standard Analytic Files. There are restrictions to the availability of this data, which is used under license for this study. Data can be accessed with permission from the Centers for Medicare & Medicaid Services.

Disclosures: The authors have disclosed that they have not received any financial consideration from any person or organization to support the preparation, analysis, results, or discussion of this article.

Supplementary material: Supplementary material associated with this article is available online at https://doi.org/10.6004/jnccn.2024.7096. The supplementary material has been supplied by the author(s) and appears in its originally submitted form. It has not been edited or vetted by JNCCN. All contents and opinions are solely those of the author. Any comments or questions related to the supplementary materials should be directed to the corresponding author.

Correspondence: Timothy M. Pawlik, MD, PhD, MPH, MTS, MBA, Department of Surgery, The Ohio State University, Wexner Medical Center and James Comprehensive Cancer Center, 395 West 12th Avenue, Suite 670, Columbus, OH 43210. Email: Tim.Pawlik@osumc.edu

Supplementary Materials

    • Supplemental Materials (PDF 2.30 MB)
  • Collapse
  • Expand
  • 1.

    Birkmeyer JD, Stukel TA, Siewers AE, et al. Surgeon volume and operative mortality in the United States. N Engl J Med 2003;349:21172127.

  • 2.

    Sahni NR, Dalton M, Cutler DM, et al. Surgeon specialization and operative mortality in United States: retrospective analysis. BMJ 2016;354:i3571.

  • 3.

    MedPAC. Chapter 15: Congressional request on health care provider consolidation (March 2020 report). Accessed March 12, 2024. Available at: https://www.medpac.gov/document/http-www-medpac-gov-docs-default-source-reports-mar20_medpac_ch15_sec-pdf/

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Gaynor M, Ho K, Town RJ. The industrial organization of health-care markets. J Econ Lit 2015;53:235284.

  • 5.

    Wang E, Arnold S, Jones S, et al. Quality and safety outcomes of a hospital merger following a full integration at a safety net hospital. JAMA Netw Open 2022;5:e2142382.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Scanlon DP, Harvey JB, Wolf LJ, et al. Are health systems redesigning how health care is delivered? Health Serv Res 2020;55(Suppl 3):11291143.

  • 7.

    Heeringa J, Mutti A, Furukawa MF, et al. Horizontal and vertical integration of health care providers: a framework for understanding various provider organizational structures. Int J Integr Care 2020;20:2.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Dafny LS, Lee TH. The good merger. N Engl J Med 2015;372:20772079.

  • 9.

    Reames BN, Anaya DA, Are C. Hospital regional network formation and ‘brand sharing’: appearances may be deceiving. Ann Surg Oncol 2019;26:711713.

  • 10.

    Chiu AS, Resio B, Hoag JR, et al. Why travel for complex cancer surgery? Americans react to ‘brand-sharing’ between specialty cancer hospitals and their affiliates. Ann Surg Oncol 2019;26:732738.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Gale AH. Bigger but not better: hospital mergers increase costs and do not improve quality. Mo Med 2015;112:45.

  • 12.

    Glied SA, Altman SH. Beyond antitrust: health care and health insurance market trends and the future of competition. Health Aff (Millwood) 2017;36:15721577.

  • 13.

    Cooper Z, Craig SV, Gaynor M, Van Reenen J. The price ain’t right? Hospital prices and health spending on the privately insured. Q J Econ 2019;134:51107.

  • 14.

    Hoag JR, Resio BJ, Monsalve AF, et al. Differential safety between top-ranked cancer hospitals and their affiliates for complex cancer surgery. JAMA Netw Open 2019;2:e191912.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Boffa DJ, Mallin K, Herrin J, et al. Survival after cancer treatment at top-ranked US cancer hospitals vs affiliates of top-ranked cancer hospitals. JAMA Netw Open 2020;3:e203942.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16.

    Sheetz KH, Ibrahim AM, Nathan H, Dimick JB. Variation in surgical outcomes across networks of the highest-rated US hospitals. JAMA Surg 2019;154:510515.

  • 17.

    Beaulieu ND, Dafny LS, Landon BE, et al. Changes in quality of care after hospital mergers and acquisitions. N Engl J Med 2020;382:5159.

  • 18.

    Cutler DM, Scott Morton F. Hospitals, market share, and consolidation. JAMA 2013;310:19641970.

  • 19.

    Mutter RL, Romano PS, Wong HS. The effects of US hospital consolidations on hospital quality. Int J Econ Bus 2011;18:109126.

  • 20.

    Munir MM, Woldesenbet S, Endo Y, et al. Association of hospital market competition with outcomes of complex cancer surgery. Ann Surg Oncol 2024;31:43714380.

  • 21.

    Thumma SR, Dualeh SHA, Kunnath NJ, et al. Outcomes for high-risk surgical procedures across high- and low-competition hospital markets. JAMA Surg 2023;158:10411048.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    AHA Data & Insights. AHA Annual Survey Database™. Accessed September 19, 2023. Available at: https://www.ahadata.com/aha-annual-survey-database

  • 23.

    Khan MMM, Munir MM, Woldesenbet S, et al. Association of surgeon–patient sex concordance with postoperative outcomes following complex cancer surgery. J Surg Oncol 2024;129:489498.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    ATSDR. Social Vulnerability Index. Accessed September 19, 2023. Available at: https://www.atsdr.cdc.gov/place-health/php/svi/index.html

  • 25.

    Healthcare Cost and Utilization Project (HCUP) and Agency for Healthcare Research and Quality. Elixhauser Comorbidity Software Refined for ICD-10-CM. Accessed November 3, 2023. Available at: https://hcup-us.ahrq.gov/toolssoftware/comorbidityicd10/comorbidity_icd10.jsp

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26.

    Agency for Healthcare Research and Quality. Compendium of U.S. Health Systems, 2018. Accessed March 12, 2024. Available at: https://www.ahrq.gov/chsp/data-resources/compendium-2018.html

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Ramadan OI, Rosenbaum PR, Reiter JG, et al. Impact of hospital affiliation with a flagship hospital system on surgical outcomes. Ann Surg 2024;279:631639.

  • 28.

    Abbas A, Dalmacy D, Paro A, Pawlik TM. Impact of neighborhood characteristics on textbook outcome following major surgery. Am J Surg 2022;224:959964.

  • 29.

    Merath K, Chen Q, Bagante F, et al. Textbook outcomes among Medicare patients undergoing hepatopancreatic surgery. Ann Surg 2020;271:11161123.

  • 30.

    Hyer JM, Ejaz A, Diaz A, et al. Characterizing and assessing the impact of surgery on healthcare spending among Medicare enrolled preoperative super-utilizers. Ann Surg 2019;270:554563.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31.

    Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med 2009;28:30833107.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32.

    Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res 2011;46:399424.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33.

    Yuan Y, Yung YF, Stokes M. Propensity score methods for causal inference with the PSMATCH procedure. Accessed September 19, 2024. Available at: https://support.sas.com/resources/papers/proceedings17/SAS0332-2017.pdf

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34.

    Austin PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat 2011;10:150161.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35.

    Lenis D, Nguyen TQ, Dong N, Stuart EA. It’s all about balance: propensity score matching in the context of complex survey data. Biostatistics 2019;20:147163.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36.

    Fleiss JL, Levin B, Paik MC. Statistical Methods for Rates and Proportions. Wiley; 2003. Available at: https://onlinelibrary.wiley.com/doi/book/10.1002/0471445428

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37.

    Munir MM, Endo Y, Woldesenbet S, et al. Variations in travel patterns affect regionalization of complex cancer surgery in California. Ann Surg Oncol 2023;30:80448053.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38.

    Shaikh CF, Munir MM, Woldesenbet S, et al. Association of persistent poverty and U.S. News and World Report hospital rankings among patients undergoing major surgery. Am J Surg 2024;228:1119.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39.

    Jain S, Rosenbaum PR, Reiter JG, et al. Mortality among older medical patients at flagship hospitals and their affiliates. J Gen Intern Med 2024;39:902911.

  • 40.

    Sage WM. Getting the product right: how competition policy can improve health care markets. Health Aff (Millwood) 2014;33:10761082.

  • 41.

    Vladeck BC. Paradigm lost: provider concentration and the failure of market theory. Health Aff (Millwood) 2014;33:10831087.

  • 42.

    Munir MM, Yutaka E, Alaimo L, et al. Impact of community privilege on access to care among patients following complex cancer surgery. Ann Surg 2023;278:e12501258.

  • 43.

    Tsai TC, Jha AK. Hospital consolidation, competition, and quality: is bigger necessarily better? JAMA 2014;312:2930.

  • 44.

    The Commonwealth Fund. Which parts of the United States have the most consolidated Medicare hospital spending? Accessed March 13, 2024. Available at: https://www.commonwealthfund.org/blog/2023/which-parts-united-states-have-most-consolidated-medicare-hospital-spending

    • PubMed
    • Search Google Scholar
    • Export Citation

Metrics