Hub and spoke framework for study of surgical centralization within United States health systems.

K Broman, J Richman, E Ross, F Zengul, R Weech-Maldonado, S Bhatia
Author Information
  1. K Broman: Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA; Department of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: kristybroman@uabmc.edu.
  2. J Richman: Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA.
  3. E Ross: Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA.
  4. F Zengul: Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, USA.
  5. R Weech-Maldonado: Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, USA.
  6. S Bhatia: Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA.

Abstract

BACKGROUND: Hospital consolidation into health systems has mixed effects on surgical quality, potentially related to degree of surgical centralization at high-volume (hub) sites. We developed a novel measure of centralization and evaluated a hub and spoke framework.
METHODS: Surgical centralization within health systems was measured using hospital surgical volumes (American Hospital Association) and health system data (Agency for Healthcare Research and Quality). Hub and spoke hospitals were compared using mixed effects logistic regression and system characteristics associated with surgical centralization were identified using a linear model.
RESULTS: Within 382 health systems containing 3022 hospitals, system hubs perform 63% of cases (IQR 40-84%). Hubs are larger, in metropolitan and urban areas, and more often academically affiliated. Degree of surgical centralization varies ten-fold. Larger, multistate, and investor-owned systems are less centralized. Adjusting for these factors, there is less centralization among teaching systems (p ���< ���0.001).
CONCLUSIONS: A hub-spoke framework applies to most health systems but centralization varies significantly. Future studies of health system surgical care should assess the contributions of surgical centralization and teaching status on differential quality.

Keywords

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Grants

  1. U01 CA213140/NCI NIH HHS
  2. U18 HS027946/AHRQ HHS
  3. P30 DK079626/NIDDK NIH HHS
  4. P30 AG031054/NIA NIH HHS
  5. KL2 TR003097/NCATS NIH HHS
  6. K08 CA237881/NCI NIH HHS
  7. R01 HS025703/AHRQ HHS
  8. UH2 HL130691/NHLBI NIH HHS
  9. U24 CA055727/NCI NIH HHS
  10. R03 CA270671/NCI NIH HHS
  11. R21 CA259808/NCI NIH HHS
  12. UG1 CA189955/NCI NIH HHS
  13. R01 CA248439/NCI NIH HHS
  14. U54 CA267746/NCI NIH HHS
  15. R35 CA220502/NCI NIH HHS
  16. R01 MD013858/NIMHD NIH HHS
  17. R01 DK106041/NIDDK NIH HHS
  18. R61 AT010802/NCCIH NIH HHS
  19. U01 CA246567/NCI NIH HHS
  20. K23 MD017288/NIMHD NIH HHS
  21. P50 CA107399/NCI NIH HHS
  22. K08 CA283001/NCI NIH HHS
  23. K08 CA234225/NCI NIH HHS

MeSH Term

Humans
United States
Delivery of Health Care
Hospitals
Government Programs

Word Cloud

Created with Highcharts 10.0.0systemscentralizationsurgicalhealthsystemspokeframeworkusingHospitalmixedeffectsqualityhubwithindataQualityHubhospitalsvarieslessteachingcareBACKGROUND:consolidationpotentiallyrelateddegreehigh-volumesitesdevelopednovelmeasureevaluatedMETHODS:SurgicalmeasuredhospitalvolumesAmericanAssociationAgencyHealthcareResearchcomparedlogisticregressioncharacteristicsassociatedidentifiedlinearmodelRESULTS:Within382containing3022hubsperform63%casesIQR40-84%HubslargermetropolitanurbanareasoftenacademicallyaffiliatedDegreeten-foldLargermultistateinvestor-ownedcentralizedAdjustingfactorsamongp ���< ���0001CONCLUSIONS:hub-spokeappliessignificantlyFuturestudiesassesscontributionsstatusdifferentialstudyUnitedStatesAdministrativeusesHealthorganizationsIntegrateddeliverycare/patientsafetySurgery

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