PMID- 18611094 OWN - NLM STAT- MEDLINE DCOM- 20080814 LR - 20080709 IS - 1936-2692 (Electronic) IS - 1088-0224 (Linking) VI - 14 IP - 7 DP - 2008 Jul TI - Automated patient assessments after outpatient surgery using an interactive voice response system. PG - 429-36 AB - 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. CONCLUSION: An IVRS-based method of monitoring outpatient surgery patients is feasible. To improve utility, calls must occur later than first postoperative day. FAU - Forster, Alan J AU - Forster AJ AD - Department of Medicine, University of Ottawa, Ontario, Canada. aforster@ohri.ca FAU - LaBranche, Rinda AU - LaBranche R FAU - McKim, Robert AU - McKim R FAU - Faught, John Wylam AU - Faught JW FAU - Feasby, Thomas E AU - Feasby TE FAU - Janes-Kelley, Selikke AU - Janes-Kelley S FAU - Shojania, Kaveh G AU - Shojania KG FAU - van Walraven, Carl AU - van Walraven C LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PL - United States TA - Am J Manag Care JT - The American journal of managed care JID - 9613960 MH - Adult MH - Aftercare/*methods MH - *Ambulatory Surgical Procedures MH - Automation MH - Female MH - *Gynecologic Surgical Procedures MH - Humans MH - Middle Aged MH - Nursing Assessment/methods MH - Postoperative Complications/*diagnosis MH - Prospective Studies MH - *Speech Recognition Software MH - Telephone MH - User-Computer Interface EDAT- 2008/07/10 09:00 MHDA- 2008/08/15 09:00 CRDT- 2008/07/10 09:00 PHST- 2008/07/10 09:00 [pubmed] PHST- 2008/08/15 09:00 [medline] PHST- 2008/07/10 09:00 [entrez] AID - 10540 [pii] PST - ppublish SO - Am J Manag Care. 2008 Jul;14(7):429-36.