Background In 2015, an academic-led surgical quality improvement (QI) programme was initiated in Japan to use database information entered from 2013 to 2014 to identify institutions needing improvement, to which cardiovascular surgery experts were sent for site visits. Here, posthoc analyses were used to estimate the effectiveness of the QI programme in reducing surgical mortality (30-day and in-hospital mortality).
Methods Patients were selected from the Japan Cardiovascular Surgery Database, which includes almost all cardiovascular surgeries in Japan, if they underwent isolated coronary artery bypass graft (CABG), valve or thoracic aortic surgery from 2013 to 2016. Difference-in-difference methods based on a generalised estimating equation logistic regression model were used for pre-post comparison after adjustment for patient-level expected surgical mortality.
Results In total, 238 778 patients (10 172 deaths) from 590 hospitals, including 3556 patients seen at 10 hospitals with site visits, were included from January 2013 to December 2016. Preprogramme, the crude surgical mortality for site visit and non-site visit institutions was 9.0% and 2.7%, respectively, for CABG surgery, 10.7% and 4.0%, respectively, for valve surgery and 20.7% and 7.5%, respectively, for aortic surgery. Postprogramme, moderate improvement was observed at site visit hospitals (3.6%, 9.6% and 18.8%, respectively). A difference-in-difference estimator showed significant improvement in CABG (0.29 (95% CI 0.15 to 0.54), p<0.001) and valve surgery (0.74 (0.55 to 1.00); p=0.047). Improvement was observed within 1 year for CABG surgery but was delayed for valve and aortic surgery. During the programme, institutions did not refrain from surgery.
Conclusions Combining traditional site visits with modern database methodologies effectively improved surgical mortality in Japan. These universal methods could be applied via a similar approach to contribute to achieving QI in surgery for many other procedures worldwide.
- quality improvement
- audit and feedback
Statistics from Altmetric.com
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Contributors HM, KT, HY, NM, YU and ST conceived the project. HY, HM and EF determined the analytical methods, handled the data and performed the statistical analyses. All authors contributed to the data interpretation. HY and HM wrote the first draft of the manuscript, and all authors reviewed and edited the drafts. All authors approved the final version.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests HY, HM and EF are affiliated with the Department of Healthcare Quality Assessment at the University of Tokyo. The department is a social collaboration department supported by grants from the National Clinical Database, Johnson & Johnson K.K and Nipro Co.
Patient consent for publication Not required.
Provenance and peer review Not commissioned; externally peer reviewed.
Data availability statement Data are available on reasonable request.