Exploratory analyses of the "failure to rescue" measure evaluation through medical record review

Journal of Nursing Care Quality

Volumn 23, Issue 3, 2008, Pages 202-210

  Talsma, AkkeNeel ^a   Bahl, Vinita ^b   Campbell, Darrell A ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN HOSPITALS   (United States)

Author keywords

Failure to rescue; Medical record review; Nursing sensitive indicators; Patient safety indicators; Quality improvement

Indexed keywords

ADULT; ALGORITHM; ARTICLE; CLASSIFICATION; COMORBIDITY; DIAGNOSIS RELATED GROUP; DOCUMENTATION; EVALUATION; FEMALE; HEALTH CARE QUALITY; HEALTH SERVICES RESEARCH; HUMAN; INFORMATION PROCESSING; LENGTH OF STAY; MALE; MEDICAL AUDIT; MIDDLE AGED; MORTALITY; ORGANIZATION AND MANAGEMENT; RISK ASSESSMENT; SAFETY; STATISTICS; SURVIVAL; SYSTEM ANALYSIS; TEACHING HOSPITAL; TREATMENT OUTCOME; UNITED STATES;

ADULT; ALGORITHMS; COMORBIDITY; DATA COLLECTION; DIAGNOSIS-RELATED GROUPS; DOCUMENTATION; FEMALE; HEALTH SERVICES RESEARCH; HOSPITAL MORTALITY; HOSPITALS, TEACHING; HUMANS; LENGTH OF STAY; MALE; MEDICAL AUDIT; MICHIGAN; MIDDLE AGED; OUTCOME AND PROCESS ASSESSMENT (HEALTH CARE); QUALITY INDICATORS, HEALTH CARE; RISK ADJUSTMENT; RISK ASSESSMENT; SAFETY MANAGEMENT; SURVIVAL ANALYSIS; SYSTEMS ANALYSIS;

EID: 85047686602     PISSN: 10573631     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.NCQ.0000324583.67180.02     Document Type: Review

References (16)

1. AHRQ Quality Indicators-Guide to Patient Safety Indicators. Rockville, MD: Agency for Healthcare Research and Quality; March 2003. Version 3.0 (February 20, 2006). http://www.qualityindicators.ahrq.gov. Accessed December 15, 2006.
2. Silber JH, Williams SV, Krakauer H, et al. Hospital and patient characteristics associated with death after surgery. Med Care. 1992;30(7):615-629.
3. Horwitz LE, Cuny JF, Cerese J, et al. Failure to rescue: validation of an algorithm using administrative data. Med Care. 2007;45(4):283-287.
4. Zhan C, Miller MR. Administrative data based patient safety research: a critical review. Qual Saf Health Care. 2003;12(4):58-63.
5. Iezzoni LI. Assessing quality using administrative data. Ann Intern Med. 1997(5, Pt 2);127:666-674.
6. Iezzoni LI. Finally present on admission but needs attention. Med Care. 2007;45(4):280-282.
7. Needleman J, Buerhaus P, Mattke S, et al. Nursestaffing levels and the quality of care in hospitals. N Engl J Med. 2002;346(22):1715-1722.
8. Aiken LH, Clarke SP, Sloane DM, et al. Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA. 2002;288(16):1987-1993.
9. Iezzoni LI, Foley SM, Heeren T, et al. A method for screening the quality of hospital care using administrative data: preliminary validation results. QRB Qual Rev Bull. 1992;18(11):361-371.
10. 2005 National Healthcare Quality Report. Rockville, MD: Agency for Healthcare Research and Quality. AHRQ Publication No. 06-0017. www.ahrq. gov/qual/nhdr05/quality/safety/T160.htm. Accessed May 18, 2006.
11. McGillis Hall L, Doran D, Pink GH. Nurse staffing models, nursing hours, and patient safety outcomes. J Nurs Adm. 2004;34(1):41-45.
12. Iezzoni LI. Using administrative diagnostic data to assess the quality of hospital care. Pitfalls and potential of ICD-9-CM. Int J Tech Assess Health Care. 1990;6(2):272-281.
13. 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(4):277- 279.
14. AHRQ Quality Indicators-Patient Safety Indicators: Software Documentation, Version 2.1-SAS. Rockville, MD: Agency for Healthcare Research and Quality; 2003. AHRQ Publication 03-R203.
15. Averill R, Goldfield N, Hughes J, et al. What are APR-DRGs? An introduction to severity of illness and risk of mortality adjustment methodology. 3M Health Information Systems; 2003. www.3Mhhis.com. Accessed November 2006.
16. Zhan C, Miller MR. Excess length of stay, charges, and mortality attributable to medical injuries during hospitalization. JAMA. 2003;290(14):1868-1874.