Advertisement

Case Mix Management: Matching Patient Need with Nursing Resource

  • Edward J. Halloran
  • Cheryl Patterson
  • Marylou Kiley
Part of the Computers and Medicine book series (C+M)

Abstract

The degree of patients’ dependence on nursing care is as important to the management of nursing department resources as it is in their clinical management. The nursing dependence must be ascertained to ensure effective patient management, and to more efficiently utilize nurses—the costs for whom make up 20–30 percent of total hospital expense. The contributions nurses make in patient care management are not well understood because nursing is often blurred together with medicine and the outcome of nurses’ activity sometimes is attributed to physicians.

Keywords

Nursing Care Diagnosis Related Group Nurse Manager Nursing Service Resource Allocation Decision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Berki, S.E. Ashcraft, M.L.F., and Newbrander, W.C. (1984), “Length of stay variations within ICDA-8 diagnosis related groups,” Medical Care, 22:2:126–142.PubMedCrossRefGoogle Scholar
  2. [2]
    Halloran, E.J., & Halloran, D.C. (1985), “Exploring the DRG/nursing equation,” American Journal of Nursing, 85:10:1093–95.PubMedGoogle Scholar
  3. [3]
    Wennberg, J.E., McPherson, K., & Caper, P., “Will payment based on diagnosis related groups control hospital costs?”, New England Journal of Medicine, 311:5:295–300.CrossRefGoogle Scholar
  4. [4]
    Henderson, V., & Nite, G., Principles and Practice of Nursing, 6th edition (New York: Macmillan Publishing Co. 1978).Google Scholar
  5. [5]
    Halloran, E.J., Nurse Staffing Issues and an Analysis of a Task Oriented Nurse Staffing Methodology. Unpublished master’s essay, Yale University, New Haven, 1975.Google Scholar
  6. [6]
    Vladek, B.C., Unloving Care: The Nursing Home Tragedy (New York: Basic Books, 1980).Google Scholar
  7. [7]
    Kiley, M.L., & Halloran, E.J. [Nursing assignment project, University Hospitals of Cleveland] unpublished raw data, 1983; Miller, A., “Nurse-patient dependency—is it iatrogenic?”, Journal of Advanced Nursing, 10:63–69; and Munson, F., Beckman, J., Clinton, J., Kever, C., & Simms, L., Nursing Assignment Patterson User’s Manual (Ann Arbor: AUPHA Press, 1980).Google Scholar

Bibliography

  1. American Nurses’ Association. Nursing: A Social Policy Statement. Kansas City, Missouri: American Nurses’ Association. 1980.Google Scholar
  2. Caterinicchio, R. & Davies, R. “Developing a Client-focused Allocation Statistic of Inpatient Nursing Resource Use: An Alternative to the Patient Day.” Social Science and Medicine 17:259–272.Google Scholar
  3. Giovanetti, P. Patient Classification Systems in Nursing: A Description and Analysis. Washington, D.C: U.S. Department of Health, Education, and Welfare. 1978.Google Scholar
  4. Halloran, E.J. “Nursing Workload, Medical Diagnosis Related Groups, and Nursing Diagnoses.” Research in Nursing and Health 8:4:421–433.CrossRefGoogle Scholar
  5. Halloran, E.J., Kiley, M.L., Nadzam, D., & Nosek, L. [Pilot test of a nursing diagnosis based patient classification instrument]. Unpublished raw data. 1984.Google Scholar
  6. Horn, S.D., Sharkey, P.O., & Bertram, D.A. “Measuring Severity of Illness: Homogeneous Case Mix Groups.” Medical Care 21:14–25.CrossRefGoogle Scholar
  7. Nadzam, D. “The Comparison of Nursing Diagnoses with Patient Problem Titles in Nursing Care Plans in an Acute Psychiatric Setting.” Manuscript submitted for publication. 1984.Google Scholar
  8. Shin, Y. Variation of hospital cost and product heterogeneity. Health insurance studies contract research series (77-11722). Washington: U.S. Department of Health, Education and Welfare. 1977.Google Scholar

Copyright information

© Springer-Verlag New York Inc. 1989

Authors and Affiliations

  • Edward J. Halloran
  • Cheryl Patterson
  • Marylou Kiley

There are no affiliations available

Personalised recommendations