Literature DB >> 10624029

Identifying pre- and postoperative predictors of cost and length of stay for coronary artery bypass surgery.

W A Ghali1, R E Hall, A S Ash, M A Moskowitz.   

Abstract

Prior studies of resource use for coronary artery bypass graft (CABG) surgery have either focused on a limited number of hospitals or have used charges instead of costs. We used a large statewide database (n = 6791) to study predictors of cost and length of stay (LOS) for CABG surgery. We used linear regression to sequentially model (a) specific procedures performed, (b) preoperative patient characteristics, and (c) postoperative events to determine the relative impact of these 3 factors on resource use. We then used the resulting models to calculate adjusted mean hospital costs and LOS. These 3 factors were all significantly associated with resource use. Postoperative events were the greatest determinant of costs, while preoperative characteristics were the greatest determinant of LOS. Despite risk adjustment for these factors, resource use differed significantly across 12 hospitals (mean cost range, $22,200 to $41,900; mean LOS range, 11 to 18 days), suggesting that some institutions may need to reduce their resource use.

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Year:  1999        PMID: 10624029     DOI: 10.1177/106286069901400604

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  4 in total

1.  Postoperative complications after elective coronary artery bypass grafting surgery in patients with sleep-disordered breathing.

Authors:  Maria Tafelmeier; Teresa Weizenegger; Sarah Ripfel; Miriam Fauser; Bernhard Floerchinger; Daniele Camboni; York Zausig; Sigrid Wittmann; Marzena A Drzymalski; Florian Zeman; Christof Schmid; Lars S Maier; Stefan Wagner; Michael Arzt
Journal:  Clin Res Cardiol       Date:  2018-06-12       Impact factor: 5.460

Review 2.  Cost comparisons of pharmacological strategies in open-heart surgery.

Authors:  Prabashni Reddy; Jessica Song
Journal:  Pharmacoeconomics       Date:  2003       Impact factor: 4.981

3.  Accounting for the relationship between per diem cost and LOS when estimating hospitalization costs.

Authors:  K Jack Ishak; Marilyn Stolar; Ming-yi Hu; Piedad Alvarez; Yamei Wang; Denis Getsios; Gregory C Williams
Journal:  BMC Health Serv Res       Date:  2012-12-01       Impact factor: 2.655

4.  Delay in reviewing test results prolongs hospital length of stay: a retrospective cohort study.

Authors:  Mei-Sing Ong; Farah Magrabi; Enrico Coiera
Journal:  BMC Health Serv Res       Date:  2018-05-16       Impact factor: 2.655

  4 in total

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