Effect of Postoperative Pain Management after Robot-Assisted Radical Prostatectomy: A Study on Reducing Hospital Length of Stay and Medical Costs Using Japanese Nationwide Database.

Journal: The Tohoku journal of experimental medicine
Published Date:

Abstract

Prostate cancer has a high incidence rate. Many articles reported its usefulness with the advent of robotic surgery in 2001. However, epidural analgesia is declining due to the spread of minimally invasive treatment. There have been no studies using nationwide databases on the impact of epidural analgesia use on length of hospital stay and medical costs. Therefore, we used a Japanese national inpatient database from April 2016 to March 2020. The study population included 46,166 patients. We compared a postoperative analgesia management group using epidural analgesia [Epidural Analgesia Group (EA Group): 5,354] and a group not using epidural analgesia [non-Epidural Analgesia Group (non-EA Group): 40,812]. We found significant differences among the two groups regarding the length of stay, days from surgery to discharge, and inpatient cost of surgery to discharge. Hospital length of stay and postoperative hospital stay was statistically shorter in the EA group than in the non-EA group (11.3 ± 2.8 days vs. 12.1 ± 3.1 days, p < 0.001 and 8.9 ± 2.5 days vs. 9.3 ± 2.7 days, p < 0.001), respectively, and medical costs were also significantly lower in the EA group (84,566 JPY vs. 294,277 JPY, p < 0.001). Also, the activities of daily living (ADL) assessment at discharge determined a considerably higher score in the EA group than in the non-EA groups. Epidural analgesia for postoperative pain management largely depends on each medical institution's treatment policy. However, epidural analgesia is declining due to the spread of minimally invasive treatment. Therefore, epidural analgesia should be reconsidered because it can reduce hospital stays and hospitalization costs.

Authors

  • Miki Mizuta
    Department of Health Administration and Policy, Tohoku University Graduate School of Medicine.
  • Kunio Tarasawa
    Department of Health Administration and Policy, Tohoku University Graduate School of Medicine.
  • Kiyohide Fushimi
    Department of Health Care Informatics, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kenji Fujimori
    Department of Health Administration and Policy, Tohoku University Graduate School of Medicine.