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"Take the Volume Pledge" may result in disparity in access to care.
Blanco, Barbara A; Kothari, Anai N; Blackwell, Robert H; Brownlee, Sarah A; Yau, Ryan M; Attisha, John P; Ezure, Yoshiki; Pappas, Sam; Kuo, Paul C; Abood, Gerard J.
Afiliação
  • Blanco BA; Department of Surgery, Loyola University Medical Center, Maywood, IL; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL.
  • Kothari AN; Department of Surgery, Loyola University Medical Center, Maywood, IL; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL.
  • Blackwell RH; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL; Department of Urology, Loyola University Medical Center, Maywood, IL.
  • Brownlee SA; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL.
  • Yau RM; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL.
  • Attisha JP; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL; Department of Computer Science, DePaul University, Chicago, IL.
  • Ezure Y; Department of Surgery, Loyola University Medical Center, Maywood, IL; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL.
  • Pappas S; Department of Surgery, Loyola University Medical Center, Maywood, IL; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL.
  • Kuo PC; Department of Surgery, Loyola University Medical Center, Maywood, IL; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL.
  • Abood GJ; Department of Surgery, Loyola University Medical Center, Maywood, IL; Department of Surgery, One:MAP Section of Surgical Analytics, Loyola University Chicago, Maywood, IL. Electronic address: gabood@lumc.edu.
Surgery ; 161(3): 837-845, 2017 03.
Article em En | MEDLINE | ID: mdl-27855970
ABSTRACT

BACKGROUND:

"Take the Volume Pledge" proposes restricting pancreatectomies to hospitals that perform ≥20 per year. Our purpose was to identify those factors that characterize patients at risk for loss of access to pancreatic cancer care with enforcement of volume standards.

METHODS:

Using the Healthcare Cost and Utilization Project State Inpatient Database from Florida, we identified patients who underwent pancreatectomy for pancreatic malignancy from 2007-2011. American Hospital Association and United States Census Bureau data were linked to patient-level data. High-volume hospitals were defined as performing ≥20 pancreatic resections per year. Univariable and multivariable statistics compared patient characteristics and utilization of high-volume hospitals. Classification and Regression Tree modeling was used to predict patients at risk for losing access to care.

RESULTS:

Our study included 1,663 patients. Five high-volume hospitals were identified, and they treated 1,056 (63.5%) patients. Patients residing far from high-volume hospitals, in areas with the highest population density, non-Caucasian ethnicity, and greater income had decreased odds of obtaining care at high-volume hospitals. Using these factors, we developed a Classification and Regression Tree-based predictive tool to identify these patients.

CONCLUSION:

Implementation of "Take the Volume Pledge" is an important step toward improving pancreatectomy outcomes; however, policymakers must consider the potential impact on limiting access and possible health disparities that may arise.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pancreatectomia / Neoplasias Pancreáticas / Disparidades em Assistência à Saúde / Hospitais com Alto Volume de Atendimentos / Acessibilidade aos Serviços de Saúde Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pancreatectomia / Neoplasias Pancreáticas / Disparidades em Assistência à Saúde / Hospitais com Alto Volume de Atendimentos / Acessibilidade aos Serviços de Saúde Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2017 Tipo de documento: Article