Hostname: page-component-8448b6f56d-qsmjn Total loading time: 0 Render date: 2024-04-16T02:48:59.797Z Has data issue: false hasContentIssue false
  • English
  • Français

History of SHEA-Sponsored Research: Time to Pass the Torch

Published online by Cambridge University Press:  02 January 2015

Bryan Simmons ,
Barbara I. Braun ,
James P. Steinberg  and
Stephen B. Kritchevsky
Bryan Simmons*
Affiliation:
Infection Prevention Department, Methodist Healthcare, Memphis, Tennessee
Barbara I. Braun
Affiliation:
Division of Quality Measurement and Research, The Joint Commission, Oakbrook Terrace, Illinois
James P. Steinberg
Affiliation:
Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
Stephen B. Kritchevsky
Affiliation:
Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina J. Paul Sticht Center on Aging, Winston-Salem, North Carolina
*
Infection Prevention Department, Methodist Healthcare, 1211 Union Avenue, Suite 811 MPB, Memphis, TN 38104 (simmonsb@methodisthealth.org)
Get access Rights & Permissions [Opens in a new window]

Extract

Since its inception, the Society for Healthcare Epidemiology of America (SHEA) has promoted research into prevention of adverse events in hospitals. In 1995, SHEA made this mission concrete by initiating a collaborative research project with the Joint Commission on the Accreditation of Health Care Organization (now known as the Joint Commission). In the early 1990s, the Joint Commission was implementing its “Agenda for Change” and associated Indicator Monitoring System. At the time, there were numerous competing measurement systems that used different definitions, all aimed at measuring the quality of patient care, and many had indicators measuring the incidence of hospital-acquired infections. Some of these indicators used administrative data, such as International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes, to measure adverse events.

Type
Special Feature
Information
Infection Control & Hospital Epidemiology , Volume 32 , Issue 2 , February 2011 , pp. 163 - 165
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Kritchevsky, S, Simmons, B, Braun, B. The project to monitor indicators: a collaborative effort between the Joint Commission on Accreditation of Healthcare Organizations and the Society for Healthcare Epidemiology of America. Infect Control Hosp Epidemiol 1995;16(1):33–35.Google Scholar
2. Simmons, BP, Schyve, PM. SHEA and JCAHO: partners in science. Infect Control Hosp Epidemiol 1996;16(1):5–6.Google Scholar
3. Schyve, PM, Loeb, JM, Simmons, P. A collaborative project to study hospital performance measures. Int J Qual Health Care 1995;7:81–94; JAMA 1995;274:317-323.Google Scholar
4. Kritchevsky, SB, Braun, BI, Gross, PA, Newcomb, CS, Kelleher, CA, Simmons, BS. Definition and adjustment of cesarean rates and assessments of hospital performance. Int J Qual Health Care 1999;11(4):283–291.Google Scholar
5. Gross, PA, Braun, BI, Kritchevsky, SB, Simmons, BP. Comparison of clinical indicators for performance measurement of healthcare quality: a cautionary note. Clin Perform Qual Health Care 2000;8(4):202–211.Google Scholar
6. Kritchevsky, SB, Braun, BI, Wong, ES, et al; the EPIC Study Group. Impact of hospital care on incidence of bloodstream infection: the evaluation of processes and indicators in infection control study. Emerg Infect Dis 2001;7(2):193–196.Google Scholar
7. Memish, ZA, Arabi, Y, Cunningham, G, et al; the EPIC Study Group. Comparison of US and non-US central venous catheter infection rates: evaluation of processes and indicators in infection control study. Am J Infect Control 2003;31:237–242.Google Scholar
8. Braun, BI, Kritchevsky, SB, Wong, ES, et al. Preventing central venous catheter-associated primary bloodstream infections: characteristics of practices among hospitals participating in the Evaluation of Processes and Indicators in Infection Control (EPIC) Study. Infect Control Hosp Epidemiol 2003;24(12):936–945.Google Scholar
9. Braun, BI, Kritchevsky, S, Kusek, L, et al. Comparing bloodstream infection rates: the effect of indicator specifications in the EPIC Study. Infect Control Hosp Epidemiol 2006;27(1);14–22.Google Scholar
10. Kritchevsky, SB, Braun, BI, Kusek, L, et al. The impact of hospital practice on central venous catheter-associated bloodstream infection rates at the patient and unit level: a multi-center study. Am J Med Qual 2008;23(1):24–38.Google Scholar
11. Kritchevsky, SB, Braun, BI, Bush, AJ, et al. The effect of a quality improvement collaborative to improve antimicrobial prophylaxis in surgical patients, a randomized trial. Ann Intern Med 2008;149:472–480.Google Scholar
12. Kritchevsky, SB, Braun, BI, Simmons, B. Do quality improvement collaboratives improve antimicrobial prophylaxis in surgical patients? Ann Intern Med 2009;150:358–359.CrossRefGoogle Scholar
13. Steinberg, JP, Braun, BI, Hellinger, WC, et al. Timing of antimicrobial prophylaxis and the risk of surgical site infection. Ann Surg 2009;250(1)10–16.Google Scholar
14. Bozikis, MR, Braun, BI, Kritchevsky, SB. How accurately are starting times documented in the medical record: implications for performance measurement. Infect Control Hosp Epidemiol 2010;31(3):307–309.Google Scholar