A dynamic quality assessment tool for laparoscopic hysterectomy to measure surgical outcomes

• Published in: American journal of obstetrics and gynecology 2016-12, Vol.215 (6), p.754.e1-754.e8
• Main Authors: Driessen, Sara R.C., MD, Van Zwet, Erik W., PhD, Haazebroek, Pascal, PhD, Sandberg, Evelien M., MD, Blikkendaal, Mathijs D., MD, Twijnstra, Andries R.H., MD, PhD, Jansen, Frank Willem, MD, PhD
• Format: Article
• Language: English
• Subjects: Adult; Blood Loss, Surgical - statistics & numerical data; case-mix; Diagnosis-Related Groups; Female; Gynecology; Humans; Hysterectomy - standards; Internet; laparoscopic hysterectomy; Laparoscopy - standards; Logistic Models; measure quality; Middle Aged; Obstetrics and Gynecology; Operative Time; Outcome Assessment (Health Care); outcome indicator; Postoperative Complications - epidemiology; Prospective Studies; quality assessment; Quality Assurance, Health Care; quality indicator; Quality Indicators, Health Care; Risk Adjustment; Surgeons; surgical performance
• ISSN: 0002-9378; 1097-6868
• DOI: 10.1016/j.ajog.2016.07.004

Background The current health care system has an urgent need for tools to measure quality. A wide range of quality indicators have been developed in an attempt to differentiate between high-quality and low-quality health care processes. However, one of the main issues of currently used indicators is the lack of case-mix correction and improvement possibilities. Case-mix is defined as specific (patient) characteristics that are known to potentially affect (surgical) outcome. If these characteristics are not taken into consideration, comparisons of outcome among health care providers may not be valid. Objective The objective of the study was to develop and test a quality assessment tool for laparoscopic hysterectomy, which can serve as a new outcome quality indicator. Study Design This is a prospective, international, multicenter implementation study. A web-based application was developed with 3 main goals: (1) to measure the surgeon’s performance using 3 primary outcomes (blood loss, operative time, and complications); (2) to provide immediate individual feedback using cumulative observed-minus-expected graphs; and (3) to detect consistently suboptimal performance after correcting for case-mix characteristics. All gynecologists who perform laparoscopic hysterectomies were requested to register their procedures in the application. A patient safety risk factor checklist was used by the surgeon for reflection. Thereafter a prospective implementation study was performed, and the application was tested using a survey that included the System Usability Scale. Results A total of 2066 laparoscopic hysterectomies were registered by 81 gynecologists. Mean operative time was 100 ± 39 minutes, blood loss 127 ± 163 mL, and the complication rate 6.1%. The overall survey response rate was 75%, and the mean System Usability Scale was 76.5 ± 13.6, which indicates that the application was good to excellent. The majority of surgeons reported that the application made them more aware of their performance, the outcomes, and patient safety, and they noted that the application provided motivation for improving future performance. Conclusion We report the development and test of a real-time, dynamic, quality assessment tool for measuring individual surgical outcome for laparoscopic hysterectomy. Importantly, this tool provides opportunities for improving surgical performance. Our study provides a foundation for helping clinicians develop evidence-based quality indicators for other