Cost savings associated with increased RN staffing in acute care hospitals: Simulation exercise

Nursing Economics

Volumn 27, Issue 5, 2009, Pages

  Shamliyan, Tatyana A ^a   Kane, Robert L ^b   Mueller, Christine ^c   Duval, Sue ^a   Wilt, Timothy J ^d  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

^d UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COST CONTROL; NURSING STAFF;

COST SAVINGS; NURSING STAFF, HOSPITAL;

EID: 72449176945     PISSN: 07461739     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (44)

1. American Nurses Association. (1999). Nursing-sensitive quality indicators for acute care settings and ANA's safety and quality initiative. Washington, DC: Author.
2. American Nurses Association. (2000). Nurse staffing and patient outcomes: In the inpatient hospital setting. Washington, DC: Author.
3. Arias, E. (2004). United States life tables, 2002. National Vital Statistics Report, 53(6), 1-38.
4. Arias, E., & National Center for Health Statistics. (2002). United States life tables, 2000. Hyattsville, MD: Centers for Disease Control and Prevention National Center for Health Statistics.
5. Bacon, D. (2006). Results of the 2006 AORN salary survey: Trends for perioperative nursing. AORN Journal, 84(6), 952-963.
6. Centers for Disease Control and Prevention, & National Center for Health Statistics. (2000). ICD-9-CM international classification of diseases, ninth revision, clinical modification (6th ed). Washington, DC: U. S. Department of Health and Human Services Centers for Disease Control and Prevention Health Care Financing Administration
7. Cooper, L. M., & Linde-Zwirble, W. T. (2004). Medicare intensive care unit use: Analysis of incidence, cost, and payment. Critical Care Medicine, 32(11), 2247-2253.
8. DerSimonian, R., & Laird, N. (1986). Metaanalysis in clinical trials. Controlled Clinical Trials, 7(3), 177-188.
9. Drummond, M. F. (2005). Methods for the economic evaluation of health care programmes (3rd ed.). Oxford, NY: Oxford University Press.
10. Ebrahim, S. (2001). The use of numbers needed to treat derived from systematic reviews and meta-analysis. Caveats and pitfalls. Evaluation and the Health Profession, 24(2), 152-164.
11. Egger, M., Smith, CD., & Altaian, D. G. (2001). Systematic reviews in health care. London: NetLibrary, Inc. BMJ Books.
12. Furlong, W. J., & Centre for Health Economics and Policy Analysis. (1998). Multiplicative multi-attribute utility function for the health utilities index Mark 3 (HU13) system: A technical report. Hamilton, Ontario: McMaster University.
13. Haddix, A. C., Teutsch, S. M., & Corso, P. S. (2003). Prevention effectiveness: A guide to decision analysis and economic evaluation (2nd ed.). Oxford; NY: Oxford University Press.
14. Healthcare Cost and Utilization Project & United States Agency for Healthcare Research and Quality. (2000). Welcome to HCUPnet. A tool for identifying, tracking, analyzing, and comparing statistics on hospitals at the national level, regional, and state level. Retrieved May 29, 2009, from http://www.ahrq.gov/data/hcup
15. Higgins, J., & Green, S. (2005). The Cochrane collaboration. The Cochrane handbook for systematic reviews of interventions. Retrieved May 29, 2009, from http://www. Cochrane.org/resources/handbook/h andbook.pdf
16. Institute of Medicine, Committee on the Work Environment for Nurses and Patient Safety, & NetLibrary Inc. (2004). Keeping patients safe: Transforming the work environment of nurses. A report of the Committee on the Work Environment for Nurses and Patient Safety Board on Health Care Services. Washington, DC: National Academy Press.
17. Institute of Medicine Committee on Data Standards for Patient Safety NetLibrary Inc. (2004). Patient safety: Achieving a new standard for care. Washington, DC: Institute of Medicine, National Academy Press.
18. Kane, R. L., Shamliyan, T., Mueller, C., Duval, S., & Wilt, T. J. (2007a). Nurse staffing and quality of patient care. Evidence Report/Technology Assessment, 151, 1-115.
19. Kane, R. L., Shamliyan, T. A., Mueller, C., Duval, S., & Wilt, T. J. (2007b). The association of registered nurse staffing levels and patient outcomes: Systematic review and meta-analysis. Medical Care, 45(12), 1195-1204.
20. Kind, P., Brooks, R. G., & Rabin, R. (2005). EQ-5D concepts and methods: A developmental history. Dordrecht, Netherlands: Springer.
21. Knapp, G., Biggerstaff, B. J., & Hartung, J. (2006). Assessing the amount of heterogeneity in random-effects metaanalysis. Biometrical Journal, 48(2), 271-285.
22. Kohn, L. T., Corrigan, J., & Donaldson, M. S. (2000). To err is human: Building a safer health system. A report of the Committee on Quality of Health Care in America. Washington, DC: Institute of Medicine, National Academy Press.
23. Kravitz, R. L., & Sauvé, M. J. (2002). Hospital nursing staff ratios and quality of care. Final report of evidence, administrative data, an expert panel process, and a hospital staffing survey. Retrieved May 29, 2009, from http://repositories. cdlib.org/chsrpc/cdhs/Final-Report
24. Littell, R. C., Milliken, G. A., Stroup, W. W., & Wolfinger, R. D. (1996). SAS system for mixed models. SAS Publishing: Cary, NC.
25. McCue, M., Mark, B. A., & Harless, D. W. (2003). Nurse staffing, quality, and financial performance. Journal of Health Care Finance, 29(4), 54-76.
26. Mee, C. L. (2006). Nursing 2006 salary survey. Nursing, 36(10), 46-51.
27. Messonnier, M. L. (2006). Economics and public health at CDC. Morbidity Mortality Weekly Report, 55 (Suppl. 2), 17-19.
28. National Center for Health Workforce Analysis. (2002). Projected supply, demand, and shortages of registered nurses: 2000-2020. National Center for Health Workforce Analysis. Rockville, MD: U. S. Department of Health and Human Services, Health Resources and Services Administration, Bureau of Health Professions, National Center for Health Workforce Analysis.
29. National Quality Forum. (2004). National voluntary consensus standards for nursing-sensitive care: An initial performance measure set: A consensus report. Washington, DC.
30. Needleman, J. (2001). Nurse staffing and patient outcomes in hospitals. Final Report for Health Resources Services Administration (HRSA), Contract No. 230990021. Washington, DC: HRSA.
31. Needleman, J., Buerhaus, P. I., Stewart, M., Zelevinsky, K., & Mattke, S. (2006). Nurse staffing in hospitals: Is there a business case for quality? Health Affairs (Millwood), 25(1), 204-211.
32. Perencevich, E. N., Sands, K. E., Cosgrove, S. E., Guadagnoli, E., Meara, E., & Platt, R. (2003). Health and economic impact of surgical site infections diagnosed after hospital discharge. Emerging Infectious Diseases, 9(2), 196-203.
33. Savitz, L. A., Jones, C. B., & Bernard, S. (2005). Quality indicators sensitive to nurse staffing in acute care settings (AHRQ Publication No. 050021). Rockville, MD: Agency for Healthcare Research and Quality.
34. Silber, J. H., Williams, S. V., Krakauer, H., & Schwartz, J. S. (1992). Hospital and patient characteristics associated with death after surgery. A study of adverse occurrence and failure to rescue. Medical Care, 30(7), 615-629.
35. Sims, C. E. (2003). Increasing clinical, satisfaction, and financial performance through nurse-driven process improvement. Journal of Nursing Administration, 33(2), 68-75.
36. Sincox, A. K. (2004). Mandatory overtime can hurt a hospital's financial status. Michigan Nurse, 77(9), 9.
37. Solucient. (2005). The DRG handbook: Comparative clinical and financial benchmarks 2005 (15th ed.). Evanston, IL: Solucient.
38. Spetz, J. (2005). Public policy and nurse staffing: What approach is best? Journal of Nursing Administration, 35(1), 14-16.
39. Spetz, J., & Adams, S. (2006). How can employment-based benefits help the nurse shortage? Health Affairs (Millwood), 25(1), 212-218.
40. Stroup, D. F., Berlin, J. A., Morton, S. C., Olkin, I., Williamson, G. D., Rennie, D., et al. (2000). Meta-analysis of observational studies in epidemiology: A proposal for reporting. Metaanalysis of Observational Studies in Epidemiology (MOOSE) group. JAMA, 283(15), 2008-2012.
41. U. S. Bureau of Labor Statistics. (2002). National compensation survey. Occupational wages in the United States. Retrieved May 29, 2009, from http://www.bls.gov/ncs/ocs/sp/ncbl 0539.pdf
42. Viechtbauer, W. (2006). Confidence intervals for the amount of heterogeneity in meta-analysis. Stat Med, 26(1), 37-52
43. Washington State Department of Health. (1994). Accounting and reporting manual for hospitals (3rd ed.). Olympia, WA: Washington State Dept. of Health.
44. Whitehead, A. (2002). Meta-analysis of controlled clinical trials. Chichester, NY: John Wiley & Sons.