Literature DB >> 3925901

Surgonomics: the identifier concept. Hospital charges in general surgery and surgical specialties under prospective payment systems.

E Muñoz, D M Regan, I B Margolis, L Wise.   

Abstract

Surgical care is entering a new payment era for inhospital care using the diagnostic related group (DRG) mechanism for Medicare. A study at The Long Island Jewish-Hillside Medical Center showed that a majority of its surgical DRGs would be unprofitable under the proposed reimbursement scheme. This study was undertaken to develop a method of allowing the hospital to group patients with each DRG that would show a difference in hospital charges and be clinically meaningful to surgeons. The study implementors tested the hypothesis that entities called identifiers, arbitrarily chosen as mode of admission [emergency (+ER vs. nonemergency (-ER)] and presence (+T) or absence (-T) of blood transfusion, would show a difference in charges (mean hospital charge exclusive of physician fees) within a DRG. Nine hundred five patients in nine DRGs encompassing general surgery, thoracic surgery, cardiac surgery, neurosurgery, orthopedics, urology, and head and neck surgery were studied. For ER identifier, eight of nine DRGs were found to be positive (greater than 20% difference in charges between positive and negative identifier); for T identifier, all DRGs (9) were positive. These findings demonstrate that these identifiers may enable teaching institutions to disaggregate each DRG and, in this way, propose more equitable reimbursement rates.

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Year:  1985        PMID: 3925901      PMCID: PMC1250847          DOI: 10.1097/00000658-198507000-00019

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


  13 in total

1.  What price cost control? Massachusetts' new hospital payment law.

Authors:  P Caper; D Blumenthal
Journal:  N Engl J Med       Date:  1983-03-03       Impact factor: 91.245

2.  Medicare begins prospective payment of hospitals.

Authors:  J K Iglehart
Journal:  N Engl J Med       Date:  1983-06-09       Impact factor: 91.245

3.  Health care technology and the inevitability of resource allocation and rationing decisions. Part I.

Authors:  R W Evans
Journal:  JAMA       Date:  1983-04-15       Impact factor: 56.272

4.  The impact of case mix on hospital cost: a comparative analysis.

Authors:  C A Watts; T D Klastorin
Journal:  Inquiry       Date:  1980       Impact factor: 1.730

5.  DRG creep: a new hospital-acquired disease.

Authors:  D W Simborg
Journal:  N Engl J Med       Date:  1981-06-25       Impact factor: 91.245

6.  Benefit and cost analysis in geriatric care. Turning age discrimination into health policy.

Authors:  J Avorn
Journal:  N Engl J Med       Date:  1984-05-17       Impact factor: 91.245

7.  Case mix, costs, and outcomes. Differences between faculty and community services in a university hospital.

Authors:  A M Garber; V R Fuchs; J F Silverman
Journal:  N Engl J Med       Date:  1984-05-10       Impact factor: 91.245

8.  Toward strategies for cost containment in surgical patients.

Authors:  W R Drucker; J W Gavett; R Kirshner; W J Messick; G Ingersoll
Journal:  Ann Surg       Date:  1983-09       Impact factor: 12.969

9.  Adult respiratory distress syndrome: hospital charges and outcome according to underlying disease.

Authors:  P E Bellamy; R K Oye
Journal:  Crit Care Med       Date:  1984-08       Impact factor: 7.598

10.  National health expenditures, 1982.

Authors:  R M Gibson; D R Waldo; K R Levit
Journal:  Health Care Financ Rev       Date:  1983
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  4 in total

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Authors:  M D Rosko
Journal:  Health Care Manag Sci       Date:  1999-05

Review 2.  Changes in medicare reimbursement: impact on therapy for benign prostatic hyperplasia.

Authors:  Robert F Donnell
Journal:  Curr Urol Rep       Date:  2002-08       Impact factor: 3.092

3.  Source of admission and cost: public hospitals face financial risk.

Authors:  E Muñoz; R Soldano; A Laughlin; I B Margolis; L Wise
Journal:  Am J Public Health       Date:  1986-06       Impact factor: 9.308

4.  Race and diagnostic related group prospective hospital payment for medical patients.

Authors:  E Muñoz; E Barrios; H Johnson; J Goldstein; K Mulloy; D Chalfin; L Wise
Journal:  J Natl Med Assoc       Date:  1989-08       Impact factor: 1.798

  4 in total

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