Literature DB >> 27884544

Pancreas fistula risk prediction: implications for hospital costs and payments.

Daniel E Abbott1, Ching Wei D Tzeng2, Matthew T McMillan3, Mark P Callery4, Tara S Kent4, John D Christein5, Stephen W Behrman6, Daniel P Schauer7, Dennis J Hanseman7, Mark H Eckman7, Charles M Vollmer3.   

Abstract

BACKGROUND: As payment models evolve, disease-specific risk stratification may impact patient selection and financial outcomes. This study sought to determine whether a validated clinical risk score for post-operative pancreatic fistula (POPF) could predict hospital costs, payments, and profit margins.
METHODS: A multi-institutional cohort of 1193 patients undergoing pancreaticoduodenectomy (PD) were matched to an independent hospital where cost, in US$, and payment data existed. An analytic model detailed POPF risk and post-operative sequelae, and their relationship with hospital cost and payment.
RESULTS: Per-patient hospital cost for negligible-risk patients was $37,855. Low-, moderate-, and high- risk patients had incrementally higher hospital costs of $38,125 ($270; 0.7% above negligible-risk), $41,128 ($3273; +8.6%), and $41,983 ($3858; +10.9%), respectively. Similarly, hospital payment for negligible-risk patients was $42,685/patient, with incrementally higher payments for low-risk ($43,265; +1.4%), moderate-risk ($45,439; +6.5%) and high-risk ($46,564; +9.1%) patients. The lowest 30-day readmission rates - with highest net profit - were found for negligible/low-risk patients (10.5%/11.1%), respectively, compared with readmission rates of moderate/high-risk patients (15%/15.7%).
CONCLUSION: Financial outcomes following PD can be predicted using the FRS. Such prediction may help hospitals and payers plan for resource allocation and payment matched to patient risk, while providing a benchmark for quality improvement initiatives.
Copyright © 2016 International Hepato-Pancreato-Biliary Association Inc. Published by Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27884544     DOI: 10.1016/j.hpb.2016.10.016

Source DB:  PubMed          Journal:  HPB (Oxford)        ISSN: 1365-182X            Impact factor:   3.647


  1 in total

1.  Validations of new cut-offs for surgical drains management and use of computerized tomography scan after pancreatoduodenectomy: The DALCUT trial.

Authors:  Damiano Caputo; Alessandro Coppola; Vincenzo La Vaccara; Roberto Passa; Ludovico Carbone; Massimo Ciccozzi; Silvia Angeletti; Roberto Coppola
Journal:  World J Clin Cases       Date:  2022-05-26       Impact factor: 1.534

  1 in total

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