Skip to main content
Annals of Surgery logoLink to Annals of Surgery
letter
. 2006 Nov;244(5):833. doi: 10.1097/01.sla.0000243604.59248.e5

Prior Research in Measuring Financial Differences Among Surgical Specialties and Using Such Differences in Decision Making

Franklin Dexter 1
PMCID: PMC1856604  PMID: 17060780

To the Editor:

Resnick et al1 “hypothesized that … significant variation in margin contribution exists between specialties.” After reporting these results 5 years ago,2 we and others showed the additional steps needed to use them in rational tactical and strategic decision making:

  • Incorporate other bottlenecks such as limited intensive care unit beds.3

  • Combine results with professional reimbursement,4,5 to explain differences in tactical and strategic decisions between hospital administrators and medical groups.6

  • Assess sensitivity of results to cost accounting.7

  • Measure standard errors for the contribution margins per operating room hour.8

  • Use the standard errors to exclude outlier patients whose data would otherwise cause spurious management decisions.9

  • Combine the financial information with assessments of competition10 and its impact on market share,11 as well as shorter-term operational decisions, to form a rational tactical decision-making policy.12

  • Combine6 results with assessments13,14 of what differentiates one hospital from another for strategic decision making.

Slides are available at www.FranklinDexter.net/Lectures/FinancialTalk.pdf.

The authors “question … how generalizable these data are to other institutions …” Based on our having applied these methods at more than two dozen facilities, the spread of contribution margin per OR hour among subspecialties is consistent among facilities. However, which subspecialties are highest or lowest is consistently inconsistent because of the vagaries of reimbursement versus implant costs.6 That is why understanding how to use the observed data for good decision making is so valuable.

Franklin Dexter, MD, PhD
Departments of Anesthesia and Health Management & Policy
Division of Management Consulting
University of Iowa
Iowa City, IA
Franklin-Dexter@UIowa.edu

REFERENCES

  • 1.Resnick AS, Corrigan D, Mullen JL, et al. Surgeon contribution to hospital bottom line. Ann Surg. 2005;242:530–539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Macario A, Dexter F, Traub RD. Hospital profitability per hour of operating room time can vary among surgeons. Anesth Analg. 2001;93:669–675. [DOI] [PubMed] [Google Scholar]
  • 3.Dexter F, Blake JT, Penning DH, et al. Calculating a potential increase in hospital margin for elective surgery by changing operating room time allocations or increasing nursing staffing to permit completion of more cases: a case study. Anesth Analg. 2002;94:138–142. [DOI] [PubMed] [Google Scholar]
  • 4.Kuo PC, Schroeder RA, Mahaffey S, et al. Optimization of operating room allocation using linear programming techniques. J Am Coll Surg. 2003;197:889–895. [DOI] [PubMed] [Google Scholar]
  • 5.Dexter F, Ledolter J, Wachtel RE. Tactical decision making for selective expansion of operating room resources incorporating financial criteria and uncertainty in sub-specialties' future workloads. Anesth Analg. 2005;100:1425–1432. [DOI] [PubMed] [Google Scholar]
  • 6.Wachtel RE, Dexter F, Lubarsky DA. Financial implications of a hospital's specialization in rare physiologically complex surgical procedures. Anesthesiology. 2005;103:161–167. [DOI] [PubMed] [Google Scholar]
  • 7.Dexter F, Blake JT, Penning DH, et al. Use of linear programming to estimate impact of changes in a hospital's operating room time allocation on perioperative variable costs. Anesthesiology. 2002;96:718–724. [DOI] [PubMed] [Google Scholar]
  • 8.Dexter F, Lubarsky DA, Blake JT. Sampling error can significantly affect measured hospital financial performance of surgeons and resulting operating room time allocations. Anesth Analg. 2002;95:184–188. [DOI] [PubMed] [Google Scholar]
  • 9.Dexter F, Ledolter H. Managing risk and expected financial return from selective expansion of operating room capacity: mean-variance analysis of a hospital's portfolio of surgeons. Anesth Analg. 2003;97:190–195. [DOI] [PubMed] [Google Scholar]
  • 10.Dexter F, Wachtel RE, Sohn MW, et al. Quantifying effect of a hospital's caseload for a surgical specialty on that of another hospital using market segments including procedure, payer, and locations of patients' residences. Health Care Manage Sci. 2005;8:121–131. [DOI] [PubMed] [Google Scholar]
  • 11.Dexter F, O'Neill L. Data envelopment analysis to determine by how much hospitals can increase elective inpatient surgical workload for each specialty. Anesth Analg. 2004;99:1492–1500. [DOI] [PubMed] [Google Scholar]
  • 12.O'Neill L, Dexter F. Methods for understanding super-efficient data envelopment analysis results with an application to hospital inpatient surgery. Health Care Manage Sci. 2005;8:291–298. [DOI] [PubMed] [Google Scholar]
  • 13.Dexter F, Wachtel RE, Yue JC. Use of discharge abstract databases to differentiate among pediatric hospitals based on operative procedures: surgery in infants and young children in the State of Iowa. Anesthesiology. 2003;99:480–487. [DOI] [PubMed] [Google Scholar]
  • 14.Wachtel RE, Dexter F. Differentiating among hospitals performing physiologically complex operative procedures in the elderly. Anesthesiology. 2004;100:1552–1561. [DOI] [PubMed] [Google Scholar]

Articles from Annals of Surgery are provided here courtesy of Lippincott, Williams, and Wilkins

RESOURCES