Validation of hysterectomy indications and the quality assurance process.
Hysterectomy is one of the most commonly performed major operations in the United States. Despite efforts to explain its high incidence, the perception remains that a significant number of hysterectomies are unjustified. More indications are listed for hysterectomy than for any other major operation. A quality assurance process is presented that requires the surgeon to select preoperatively one designated indication for each hysterectomy performed. The pathology report is expected to verify the surgical indication in 66% of the cases. The other 34% of hysterectomy specimens are not expected to show tissue pathology based on the listed indication. For these cases, predetermined validation criteria must be satisfied in the surgeon's preoperative note. Applying the process in this series of 584 consecutive hysterectomies, 93% (N = 396) of the "pathology expected" indications were verified by the pathology report and 98% (N = 188) of the "no pathology expected" indications were validated by the surgeon's preoperative note. The process of using a single designated indication and reviewing only two documents (the pathology report and the surgeon's preoperative note) has greatly simplified the quality assurance process. This system enables a quality assurance committee to monitor easily the appropriateness of hysterectomy indications for their institution. Information obtained from this process can influence changes regarding the acceptability of certain indications. As a result of this study, adenomyosis, because of its low (38%) verification rate, is no longer considered a reliable preoperative indication for hysterectomy at San Diego Naval Hospital.
Gambone
J C
JC
Department of Obstetrics and Gynecology, University of California, Los Angeles School of Medicine.
Lench
J B
JB
Slesinski
M J
MJ
Reiter
R C
RC
Moore
J G
JG
D002140:California; D005260:Female; D006801:Humans; D007044:Hysterectomy / Q000706:statistics & numerical data*; D011446:Prospective Studies; D011785:Quality Assurance, Health Care; D014599:Uterus / Q000473:pathology