A cross-sectional study on the relationship between utilization of root cause analysis and patient safety at 139 Department of Veterans Affairs medical centers.
BACKGROUND
Empirical evidence is limited that root cause analysis (RCA), an event analysis tool used in health care to evaluate the systemic factors that lead to adverse events, improves patient safety. A cross-sectional study was conducted to examine the relationship between RCA and patient safety.


METHODS
RCA data were collected for the 139 Department of Veteran Affairs medical centers (VAMCs) in the National Center for Patient Safety database from 2004 through 2006. Participants were divided into three RCA utilization categories on the basis of their yearly RCA rate: (1) fewer than 4 RCAs, (2) 4 to 5 RCAs, and (3) 6 or more RCAs per year. An analysis of variance was conducted of each Agency for Healthcare Research and Quality Patient Safety Indicators (PSIs) across the three RCA utilization categories.


RESULTS
Facilities completed between 3 and 59 RCAs in the three-year period (mean RCA utilization rate, 4.86 RCAs per year). In this period, RCA actions by facility ranged from 9 to 323 (mean, 28 actions per year per facility). Mean patient-days of care, facility budget, surgical volume, and the number of strong improvement actions were significantly different across RCA utilization categories. The mean rates of PSI 9 (Postoperative Hemorrhage or Hematoma), PSI 10 (Postoperative Physiologic and Metabolic Derangements), and PSI 13 (Postoperative Sepsis) were significantly different across RCA utilization categories.


CONCLUSIONS
Large, high-spending VAMCs conduct more RCAs per year than smaller, low-spending facilities. VAMCs that do more RCAs develop more corrective actions. VAMCs that complete fewer than four RCAs per year have higher rates of postoperative complications. It is unclear if RCAs are associated with a functional patient safety program or directly improve patient safety.
Department of Veterans Affairs, VA Medical Center, White River Junction, VT, USA.
Katherine B
KB
Percarpio
B Vince
BV
Watts
D003430:Cross-Sectional Studies; D017721:Hospital Costs / Q000706:statistics & numerical data; D006787:Hospitals, Veterans / Q000458:organization & administration / Q000706:statistics & numerical data*; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data; D061214:Patient Safety / Q000706:statistics & numerical data*; D019984:Quality Indicators, Health Care / Q000706:statistics & numerical data*; D060891:Root Cause Analysis / Q000706:statistics & numerical data*; D014481:United States