Accuracy and Comprehensiveness in Recording Information of a Web-Based Application for Preoperative Assessment: A Prospective Observational Study.
J Perianesth Nurs
; 38(3): 440-447, 2023 06.
Article
em En
| MEDLINE
| ID: mdl-36509667
PURPOSE: Preanestes@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. DESIGN: Prospective, observational, paired study. METHODS: This 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. FINDINGS: PreQuest 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). CONCLUSIONS: The 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.
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Base de dados:
MEDLINE
Assunto principal:
Internet
Tipo de estudo:
Observational_studies
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Prognostic_studies
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Qualitative_research
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Risk_factors_studies
Limite:
Adult
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Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article