Failure-to-rescue: Comparing definitions to measure quality of care

Medical Care

Volumn 45, Issue 10, 2007, Pages 913-915

  Needleman, Jack ^a   Buerhaus, Peter I ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34748873224     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: 10.1097/MLR.0b013e318158bf10     Document Type: Editorial

References (19)

1. Silber JH, Williams SV, Krakauer H, et al. Hospital and patient characteristics associated with death after surgery. A study of adverse occurrence and failure-to-rescue. Med Care. 1992;30:615-629.
2. Silber JH, Rosenbaum PR, Schwartz JS, et al. Evaluation of the complication rate as a measure of quality of care in coronary-artery bypass graft-surgery. JAMA. 1995;274:317-323.
3. Silber JH, Rosenbaum PR, Ross RN. Comparing the contributions of groups of predictors-which outcomes vary with hospital rather than patient characteristics. Journal of the American Statistical Association. 1995;90:7-18.
4. Silber JH, Rosenbaum PR, Williams SV, et al. The relationship between choice of outcome measure and hospital rank in general surgical procedures: implications for quality assessment. Int J Qual Health Care. 1997;9:193-200.
5. Silber JH, Romano PS, Rosen AK, et al. Failure-to-rescue: comparing definitions to measure quality of care. Med Care. 2007;45:918-925.
6. Needleman J, Buerhaus P, Mattke S, et al. Nurse staffing and patient outcomes in hospitals. Harvard School of Public Health, Boston, MA: February 28, 2001. Report No: Final Report submitted under contract 230-99-0021. Available at: http://bhpr.hrsa.gov/nursing/staffstudy.htm.
7. Needleman J, Buerhaus P, Mattke S, et al. Nurse-staffing levels and quality of care in hospitals. N Engl J Med. 2002;346:1415-1422.
8. Iezzoni LI, Daley J, Foley SM, et al. Screening Quality of Care Using Administrative Data. Rockville, MD: Agency for Health Care Policy and Research; 1992.
9. Iezzoni LI, Daley J, Heeren T, et al. Using Administrative Data to Screen Hospitals for High Complication Rates. Inquiry-the Journal of Health Care Organization Provision and Financing. 1994;31:40-55.
10. Iezzoni LI, Daley J, Heeren T, et al. Identifying complications of care using administrative data. Med Care. 1994;32:700-715.
11. Ball J, Elixhauser A, Johantgen M, et al. HCUP Quality Indicators, Methods, Version 1.1: Outcome, Utilization, and Access Measures for Quality Improvement. Healthcare Cost and Utilization Project (HCUP-3) Research Note. Rockville, MD: Agency for Health Care Policy and Research; 1998 July. Report No.: AHCPR Publication Number 98-0035.
12. Weingart SN, Iezzoni LI, Davis RB, et al. Use of administrative data to find substandard care: validation of the complications screening program. Med Care. 2000;38:796-806.
13. Horwitz LI, Cuny JF, Cerese J, et al. Failure-to-rescue: validation of an algorithm using administrative data. Med Care. 2007;45:283-287.
14. McDonald KM, Davies SM, Geppert J, et al. Why rescue the administrative data version of the "failure-to-rescue" quality indicator. Med Care. 2007;45:277-279.
15. Mattke S, Needleman J, Buerhaus P, et al. Evaluating the role of patient sample definitions for quality indicators sensitive to nurse staffing patterns. Med Care. 2004;42:(Suppl):II-21-II-33.
16. Aiken LH, Clarke SP, Sloane DM, et al. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA. 2002; 288:1987-1993.
17. Rafferty AM, Clarke SP, Coles J, et al. Outcomes of variation in hospital nurse staffing in English hospitals: cross-sectional analysis of survey data and discharge records. Int J Nurs Stud. 2007;44:175-82.
18. Needleman J, Kurtzman ET, Kizer KW. Performance measurement of nursing care: state of the science and the current consensus. Med Care Res Rev. 2007;64:10S-43S.
19. Needleman J, Buerhaus PI, Mattke S, et al. Measuring hospital quality: Can Medicare data substitute for all-payer data? Health Services Research. 2003;38:1487-1508.