Surgeon Satisfaction With Anesthesia Services at Srinagarind Hospital: A Comparison With Data From 7 Years Ago
Abstract
Background: Surgeon satisfaction with anesthesia services is a critical quality indicator that drives multidisciplinary improvement in perioperative care. Objective: To assess current satisfaction levels and compare improvements over a 7-year period. Methods: This prospective, descriptive study was conducted between May 2024 and July 2024 at Srinagarind Hospital. This study surveyed 41 surgeons (faculty physicians, residents, and staff physicians) across multiple departments using a validated questionnaire covering preoperative, intraoperative, postoperative recovery room, and ward-based anesthesia services. Satisfaction was measured using a 4-point Likert scale and compared with the 2016-2017 baseline data from 102 surgeons. Results: Response rate was 100% (41/41). Overall satisfaction scores ranged from 3.56 to 3.98 (very high satisfaction). The highest satisfaction areas included: fasting guidelines, anesthesia initiation timing, and postoperative patient visits (mean [SD], 3.95 [0.22], 3.98 [0.16], and 3.97 [0.16], respectively). Compared with 2016-2017, significant improvements were observed in coordination systems (mean [SD], 3.46 [0.57] to 3.95 [0.22]; P < .001), emergency scheduling (mean [SD], 3.42 [0.64] to 3.88 [0.33]; P < .01), and sign-in cooperation (mean [SD], 3.53 [0.59] to 3.90 [0.30]; P < .01). Areas for improvement included preoperative coordination communication and glucose loading protocols (mean [SD], 3.63 [0.49] and 3.60 [0.59], respectively). Conclusions: Surgeon satisfaction with anesthesia services at Srinagarind Hospital consistently demonstrated high levels, with marked improvements over 7 years, particularly in coordination systems and safety protocols. A continued focus on communication and evidence-based preoperative protocols will further improve multidisciplinary collaboration.
Fields of Study & Subjects
Patient Satisfaction in Healthcare
Healthcare Quality and Management
Healthcare Operations and Scheduling Optimization
Publication details
- Journal / source
- Research Medical Journal
- Pages
- e276372–e276372
- Publication date
- 28 January 2026
- Language
- EN