Literature DB >> 26034614

Quality of surgical care and readmission in elderly glioblastoma patients.

Miriam Nuño1, Diana Ly1, Debraj Mukherjee1, Alicia Ortega1, Keith L Black1, Chirag G Patil1.   

Abstract

BACKGROUND: Thirty-day readmissions post medical or surgical discharge have been analyzed extensively. Studies have shown that complex interactions of multiple factors are responsible for these hospitalizations.
METHODS: A retrospective analysis was conducted using the Surveillance, Epidemiology and End Results (SEER) Medicare database of newly diagnosed elderly glioblastoma multiforme (GBM) patients who underwent surgical resection between 1991 and 2007. Hospitals were classified into high- or low-readmission rate cohorts using a risk-adjusted methodology. Bivariate comparisons of outcomes were conducted. Multivariate analysis evaluated differences in quality of care according to hospital readmission rates.
RESULTS: A total of 1,273 patients underwent surgery in 338 hospitals; 523 patients were treated in 228 high-readmission hospitals and 750 in 110 low-readmission hospitals. Patient characteristics for high-versus low-readmission hospitals were compared. In a confounder-adjusted model, patients treated in high- versus low-readmission hospitals had similar outcomes. The hazard of mortality for patients treated at high- compared to low-readmission hospitals was 1.06 (95% CI, 0.095%-1.19%). While overall complications were comparable between high- and low-readmission hospitals (16.3% vs 14.3%; P = .33), more postoperative pulmonary embolism/deep vein thrombosis complications were documented in patients treated at high-readmission hospitals (7.5% vs 4.1%; P = .01). Adverse events and levels of resection achieved during surgery were comparable at high- and low-readmission hospitals.
CONCLUSIONS: For patients undergoing GBM resection, quality of care provided by hospitals with the highest adjusted readmission rates was similar to the care delivered by hospitals with the lowest rates. These findings provide evidence against the preconceived notion that 30-day readmissions can be used as a metric for quality of surgical and postsurgical care.

Entities:  

Keywords:  glioblastoma multiforme, high- and low-readmission hospitals; overall survival; quality of care; risk-adjusted readmission

Year:  2014        PMID: 26034614      PMCID: PMC4371163          DOI: 10.1093/nop/npu008

Source DB:  PubMed          Journal:  Neurooncol Pract        ISSN: 2054-2577


  31 in total

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2.  Thirty-day readmissions--truth and consequences.

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4.  Limits of readmission rates in measuring hospital quality suggest the need for added metrics.

Authors:  Matthew J Press; Dennis P Scanlon; Andrew M Ryan; Jingsan Zhu; Amol S Navathe; Jessica N Mittler; Kevin G Volpp
Journal:  Health Aff (Millwood)       Date:  2013-06       Impact factor: 6.301

5.  Prediction of pneumonia 30-day readmissions: a single-center attempt to increase model performance.

Authors:  Jeffrey F Mather; Gilbert J Fortunato; Jenifer L Ash; Michael J Davis; Ajay Kumar
Journal:  Respir Care       Date:  2013-08-13       Impact factor: 2.258

6.  Does 30-day readmission affect long-term outcome among glioblastoma patients?

Authors:  Miriam Nuño; Diana Ly; Alicia Ortega; J Manuel Sarmiento; Debraj Mukherjee; Keith L Black; Chirag G Patil
Journal:  Neurosurgery       Date:  2014-02       Impact factor: 4.654

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Journal:  BMJ       Date:  1990-11-17

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Journal:  Inquiry       Date:  1993       Impact factor: 1.730

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Journal:  Arch Intern Med       Date:  2000-04-24

10.  Identifying potentially preventable readmissions.

Authors:  Norbert I Goldfield; Elizabeth C McCullough; John S Hughes; Ana M Tang; Beth Eastman; Lisa K Rawlins; Richard F Averill
Journal:  Health Care Financ Rev       Date:  2008
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  3 in total

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Journal:  J Neurooncol       Date:  2015-06-02       Impact factor: 4.130

2.  Cost-effectiveness of Intraoperative MRI for Treatment of High-Grade Gliomas.

Authors:  Peter Abraham; Reith Sarkar; Michael G Brandel; Arvin R Wali; Robert C Rennert; Christian Lopez Ramos; Jennifer Padwal; Jeffrey A Steinberg; David R Santiago-Dieppa; Vincent Cheung; J Scott Pannell; James D Murphy; Alexander A Khalessi
Journal:  Radiology       Date:  2019-03-26       Impact factor: 29.146

3.  Face-to-Face Meetings with Neurosurgical Patients Before Hospital Discharge: Impact on Telephone Outreach, Emergency Department Visits, and Hospital Readmissions.

Authors:  Franz H Vergara; Jean E Davis; Chakra Budhathoki; Nancy J Sullivan; Daniel J Sheridan
Journal:  Popul Health Manag       Date:  2019-08-08       Impact factor: 2.459

  3 in total

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