Literature DB >> 19212191

The effect of preoperative and hospital characteristics on costs for coronary artery bypass graft.

Shadi S Saleh1, Michael Racz, Edward Hannan.   

Abstract

OBJECTIVE: This study aimed at exploring the effect of preoperative risk factors and hospital characteristics on costs of coronary artery bypass graft (CABG) hospitalizations.
BACKGROUND: The considerable investment in hospital-based cardiac programs has not been coupled with comparable efforts to explore cost drivers of associated procedures.
METHODS: Data sources included (a) New York State's Cardiac Surgery Reporting System, (b) New York State's Statewide Planning and Research Cooperative System dataset, (c) American Hospital Association dataset, and (d) Medicare Hospital Cost Report Public Use files and wage index files. The study population comprised New York state residents who underwent an isolated CABG procedure in a New York State hospital and were discharged in 2003. The outcome measure was inpatient costs. Independent variables included patient (demographic and clinical) and hospital characteristics.
RESULTS: The total number of cases was 12,016. Findings revealed that selected demographic characteristics, including older age, female gender, and being black, were associated with higher costs. Several clinical characteristics were found to affect CABG discharge costs such as lower ejection fraction, the duration between CABG admission and the occurrence of myocardial infarction, number of diseased vessels, previous open heart operations, and a number of comorbidities. Furthermore, larger hospitals were associated with higher CABG discharge costs, while costs significantly decreased with higher CABG volume.
CONCLUSIONS: Hospitals should explore ways to address patient (patient management) and hospital (case volume), when possible, associated with higher CABG discharge costs in its efforts to contain costs.

Entities:  

Mesh:

Year:  2009        PMID: 19212191     DOI: 10.1097/SLA.0b013e318195e475

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  7 in total

1.  Does anesthesiology residency training result in decreasing intraoperative drug cost from a resident's first to second month's experience in adult cardiac anesthesiology?

Authors:  Johannes W Steyn; David M Broussard; Neil DiGiovanni; Sheena Babin; Adrianna C Dornelles
Journal:  J Educ Perioper Med       Date:  2012-07-01

2.  Drivers of Payment Variation in 90-Day Coronary Artery Bypass Grafting Episodes.

Authors:  Vinay Guduguntla; John D Syrjamaki; Chad Ellimoottil; David C Miller; Richard L Prager; Edward C Norton; Patricia Theurer; Donald S Likosky; James M Dupree
Journal:  JAMA Surg       Date:  2018-01-01       Impact factor: 14.766

3.  Cost-effectiveness of a symptom management intervention: improving physical activity in older women following coronary artery bypass surgery.

Authors:  Lufei Young; Lani Zimmerman; Bunny Pozehl; Susan Barnason; Hongmei Wang
Journal:  Nurs Econ       Date:  2012 Mar-Apr       Impact factor: 1.085

4.  Evaluating the Generalisability of Trial Results: Introducing a Centre- and Trial-Level Generalisability Index.

Authors:  Adrian Gheorghe; Tracy Roberts; Karla Hemming; Melanie Calvert
Journal:  Pharmacoeconomics       Date:  2015-11       Impact factor: 4.981

Review 5.  Patient-level costs of major cardiovascular conditions: a review of the international literature.

Authors:  Gina Nicholson; Shravanthi R Gandra; Ronald J Halbert; Akshara Richhariya; Robert J Nordyke
Journal:  Clinicoecon Outcomes Res       Date:  2016-09-21

6.  Effect of intraoperative dexmedetomidine infusion on delirium in adult patients following cardiac valve surgery: a protocol of a randomized, double-blinded, and placebo-controlled study.

Authors:  Hong-Bai Wang; Liang Zhang; Zhe Zhang; Su Yuan; Fu-Xia Yan; Qi-Peng Luo
Journal:  Trials       Date:  2020-07-14       Impact factor: 2.279

7.  Preoperative factors affecting cost and length of stay for isolated off-pump coronary artery bypass grafting: hierarchical linear model analysis.

Authors:  Daisuke Shinjo; Kiyohide Fushimi
Journal:  BMJ Open       Date:  2015-11-17       Impact factor: 2.692

  7 in total

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