title: Automated patient assessments after outpatient surgery using an interactive voice response system.
abstract: OBJECTIVE
  To test the feasibility and utility of an interactive voice response system (IVRS) for monitoring patients after outpatient surgery.
  
  
  METHODS
  We studied consecutive patients undergoing gynecologic day surgery. The IVRS called patients on the first postoperative day and asked them if they were experiencing new problems. Feasibility was assessed in terms of call responses and acceptance by patients. Utility was measured in terms of the ability of the IVRS to identify adverse events (AEs), defined as procedure-related symptoms requiring a physician or hospital visit. We contacted patients 30 days later to elicit their perceptions of the IVRS and determine AE status.
  
  
  RESULTS
  Follow-up was complete for 249 of 270 enrolled patients (92%). The IVRS successfully contacted 130 patients (52%). Of the 22 patients (17%) who required a follow-up phone call, 9 had a new problem related to surgery, 7 had new or worsening symptoms, 6 wanted to speak with a nurse, and 1 had a medication-related problem. Patients remembering the automated call (n = 96) reported the system easy to use (82%) and comprehend (86%). Most patients (68%) preferred the IVRS to a personal follow-up call (probability greater than 50%, P <.001). AEs occurred in 40 patients (16%; 95% confidence interval = 12%, 21%). The IVRS did not identify any AEs because 90% of these occurred after the automated call.
  
  
  CONCLUSIONS
  An IVRS-based method of monitoring outpatient surgery patients is feasible. To improve utility, calls must occur later than first postoperative day.
authors.affiliation: Department of Medicine, University of Ottawa, Ontario, Canada. aforster@ohri.ca
authors.forename: Alan J
authors.initials: AJ
authors.lastname: Forster
authors.forename: Rinda
authors.initials: R
authors.lastname: LaBranche
authors.forename: Robert
authors.initials: R
authors.lastname: McKim
authors.forename: John Wylam
authors.initials: JW
authors.lastname: Faught
authors.forename: Thomas E
authors.initials: TE
authors.lastname: Feasby
authors.forename: Selikke
authors.initials: S
authors.lastname: Janes-Kelley
authors.forename: Kaveh G
authors.initials: KG
authors.lastname: Shojania
authors.forename: Carl
authors.initials: C
authors.lastname: van Walraven
mesh_terms: D000328:Adult; D000359:Aftercare / Q000379:methods*; D000556:Ambulatory Surgical Procedures; D001331:Automation; D005260:Female; D013509:Gynecologic Surgical Procedures; D006801:Humans; D008875:Middle Aged; D009730:Nursing Assessment / Q000379:methods; D011183:Postoperative Complications / Q000175:diagnosis*; D011446:Prospective Studies; D049250:Speech Recognition Software; D013689:Telephone; D014584:User-Computer Interface