Patient satisfaction following day surgery

J Clin Anesth. 2009 May;21(3):200-5. doi: 10.1016/j.jclinane.2008.08.016.

Abstract

Study objective: To evaluate patient satisfaction at discharge and 30 days after day surgery, and to identify predictive factors of patient satisfaction.

Design: Observational, prospective study.

Setting: Day surgery unit of a university hospital.

Patients: 251 consecutive patients, aged 43 +/- 15 years (56.6% women), scheduled for day surgery.

Interventions: Patients were asked to answer a questionnaire.

Measurements: Patients' level of satisfaction was recorded in relation to different variables, using questions of demographics, logistics, and those relating to surgery.

Main results: Over 95% of patients were satisfied with their care at both interviews; 74.5% of patients were completely satisfied at the discharge time; and only 62.4% had the same opinion 30 days after the surgery (P < 0.01). Postoperative pain control [odds ratio (OR) = 1.6], waiting time for surgery (OR = 1.4), and patient changing room conditions (OR = 1.3) were the most important factors influencing patient satisfaction at the time of discharge. Clinical outcome (OR = 3.2), clinical information (OR = 1.6), and postoperative pain control (OR = 1.3) were the main factors affecting patient satisfaction 30 days after surgery.

Conclusions: Overall satisfaction following day surgery was at least 95% at discharge and at 30 days. However, complete satisfaction was present only in 75% at discharge and decreased to 62% at 30 days. Clinical outcome was strongly related to patient satisfaction at 30 days after surgery. Factors directly controlled by anesthesiologists such as postoperative pain and information provided, also had a significant impact on patient satisfaction.

MeSH terms

  • Adult
  • Ambulatory Surgical Procedures / standards*
  • Female
  • Hospitals, University
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Pain, Postoperative / psychology*
  • Patient Discharge
  • Patient Satisfaction / statistics & numerical data*
  • Prospective Studies
  • Quality Indicators, Health Care
  • Surveys and Questionnaires
  • Time Factors
  • Waiting Lists