OBJECTIVE: To evaluate the effectiveness of a computerized decision support system for ovarian stimulation with gonadotropins. DESIGN: Retrospective and prospective randomized studies. SETTING:Private and university teaching hospital. PATIENT(S): Women undergoing ovarian stimulation to treat infertility. MAIN OUTCOME MEASURE(S): Pregnancy rate. RESULT(S): In the retrospective study, computer-generated decisions were compared with clinicians' decisions in 118 stimulated cycles in 53 patients. In 90% of cases, the choice of FSH regimens and adjustments to dosages were identical. In the prospective study, the computer-generated decisions achieved a pregnancy rate per cycle of 18% (15 of 82 cycles), compared with 16% (13 of 82 cycles) achieved by clinicians. CONCLUSION(S): A computerized decision making system was as effective as skilled clinicians in achieving pregnancy by using ovarian stimulation with FSH.
RCT Entities:
OBJECTIVE: To evaluate the effectiveness of a computerized decision support system for ovarian stimulation with gonadotropins. DESIGN: Retrospective and prospective randomized studies. SETTING: Private and university teaching hospital. PATIENT(S): Women undergoing ovarian stimulation to treat infertility. MAIN OUTCOME MEASURE(S): Pregnancy rate. RESULT(S): In the retrospective study, computer-generated decisions were compared with clinicians' decisions in 118 stimulated cycles in 53 patients. In 90% of cases, the choice of FSH regimens and adjustments to dosages were identical. In the prospective study, the computer-generated decisions achieved a pregnancy rate per cycle of 18% (15 of 82 cycles), compared with 16% (13 of 82 cycles) achieved by clinicians. CONCLUSION(S): A computerized decision making system was as effective as skilled clinicians in achieving pregnancy by using ovarian stimulation with FSH.
Authors: Brian J Hemens; Anne Holbrook; Marita Tonkin; Jean A Mackay; Lorraine Weise-Kelly; Tamara Navarro; Nancy L Wilczynski; R Brian Haynes Journal: Implement Sci Date: 2011-08-03 Impact factor: 7.327
Authors: Sallie-Anne Pearson; Annette Moxey; Jane Robertson; Isla Hains; Margaret Williamson; James Reeve; David Newby Journal: BMC Health Serv Res Date: 2009-08-28 Impact factor: 2.655