BACKGROUND AND OBJECTIVE: Correct identification of patients at high risk for postoperative nausea and vomiting (PONV), prescription of PONV prophylaxis and correct administration of medication are all important for effective PONV prophylaxis. This has been acknowledged by development of guidelines throughout the world. We studied the effect of introducing patient-specific automated reminders on timely administration of PONV prophylaxis medication during general anaesthesia. METHODS: During the visit to the preoperative screening clinic, patients at high risk for PONV were identified and PONV prophylaxis was prescribed. To study the effect of patient-specific decision support [a pop-up window reminding the (nurse) anaesthetist that PONV prophylaxis had been prescribed for this particular patient] on the timely administration of PONV medication, we queried our database to extract data on all patients for three consecutive periods: 6 weeks before decision support (control), 12 weeks during decision support and 6 weeks after discontinuation of decision support (postdecision support) and studied how often PONV prophylaxis was administered correctly. RESULTS: Between November 2005 and May 2006, 1727, 2594 and 1331 patients presented for elective surgery in the control, decision support and postdecision support periods, respectively. In the control period, 236 patients receiving general anaesthesia were scheduled to receive PONV prophylaxis. Of these, 93 (39%) received both dexamethasone and granisetron in the correct timeframe. This increased to 464 (79%) out of 591 patients in the decision support period and decreased back to 99 (41%) out of 243 patients in the postdecision support period (P < 0.001). CONCLUSION: Decision support is effective in improving administration and timing of PONV prophylaxis medication. After withdrawal of decision support, adherence decreased to predecision support levels.
BACKGROUND AND OBJECTIVE: Correct identification of patients at high risk for postoperative nausea and vomiting (PONV), prescription of PONV prophylaxis and correct administration of medication are all important for effective PONV prophylaxis. This has been acknowledged by development of guidelines throughout the world. We studied the effect of introducing patient-specific automated reminders on timely administration of PONV prophylaxis medication during general anaesthesia. METHODS: During the visit to the preoperative screening clinic, patients at high risk for PONV were identified and PONV prophylaxis was prescribed. To study the effect of patient-specific decision support [a pop-up window reminding the (nurse) anaesthetist that PONV prophylaxis had been prescribed for this particular patient] on the timely administration of PONV medication, we queried our database to extract data on all patients for three consecutive periods: 6 weeks before decision support (control), 12 weeks during decision support and 6 weeks after discontinuation of decision support (postdecision support) and studied how often PONV prophylaxis was administered correctly. RESULTS: Between November 2005 and May 2006, 1727, 2594 and 1331 patients presented for elective surgery in the control, decision support and postdecision support periods, respectively. In the control period, 236 patients receiving general anaesthesia were scheduled to receive PONV prophylaxis. Of these, 93 (39%) received both dexamethasone and granisetron in the correct timeframe. This increased to 464 (79%) out of 591 patients in the decision support period and decreased back to 99 (41%) out of 243 patients in the postdecision support period (P < 0.001). CONCLUSION: Decision support is effective in improving administration and timing of PONV prophylaxis medication. After withdrawal of decision support, adherence decreased to predecision support levels.
Authors: Christoph Czarnetzki; Eduardo Schiffer; Christopher Lysakowski; Guy Haller; Daniel Bertrand; Martin R Tramèr Journal: Br J Clin Pharmacol Date: 2011-03 Impact factor: 4.335
Authors: Allan F Simpao; Jonathan M Tan; Arul M Lingappan; Jorge A Gálvez; Sherry E Morgan; Michael A Krall Journal: J Clin Monit Comput Date: 2016-08-16 Impact factor: 2.502
Authors: Peter Kranke; Kerstin D Röhm; Pierre Diemunsch; Tong J Gan; Christian C Apfel; Leopold Eberhart; Harold S Minkowitz; Jan Wallenborn; Dominique Chassard; Gilles Lebuffe; Gabriel M Fox; Martin R Tramèr Journal: Eur J Clin Pharmacol Date: 2012-05-01 Impact factor: 2.953
Authors: R Wolf; E Morinello; G Kestler; B Käsmann-Kellner; M Bischoff; T Hager; J Schöpe; L H J Eberhart Journal: Anaesthesist Date: 2016-06-13 Impact factor: 1.041