Accuracy and Comprehensiveness in Recording Information of a Web-Based Application for Preoperative Assessment: A Prospective Observational Study

Abstract

PurposePreanestes@s is a web-based application that includes a smart computer-based self-assessment preoperative questionnaire (PreQuest). Preanestes@s enables remote non-telephonic preoperative assessment via a virtual visit. We aimed to determine if the American Society of Anesthesiologists (ASA) physical status classification assigned by PreQuest and virtual visit is comparable with that assigned by face-to-face assessment, and to determine the accuracy of Preanestes@s in recording complementary preoperative information. DesignProspective, observational, paired study. MethodsThis study was conducted in a tertiary teaching hospital. A total of 510 adult patients scheduled for surgery were consecutively recruited. Of these, 220 patients were included in the analysis of ASA grade agreement. FindingsPreQuest and virtual visit showed higher predictive value than face-to-face assessment in detecting patients with ASA grades 1 to 2. Face-to-face assessment showed the highest rate of false negatives (ASA 3-4 misclassified as ASA 1-2), with a sensitivity of 44.2% versus 69.8% and 50% for PreQuest and virtual visit, respectively. Virtual visit showed the highest agreement with the ASA grade assigned by a panel of experts (kappa index 0.52, 95% confidence interval 0.15-0.89). PreQuest and virtual visit offered a more comprehensive registry of anthropometric data, more detailed record of chronic diseases condition, and more accurate registry of patients’ treatments (virtual visit > PreQuest > face-to-face assessment). ConclusionsThe combined use of PreQuest and virtual visit offers a better performance in assigning the ASA grade for non-complex patients and a more accurate and detailed record of complementary information. This finding suggests the feasibility of Preanestes@ as a tool for preoperative assessment.