ABSTRACT
Antecedentes y objetivos: Preanestes@s es una aplicación para la evaluación preanestésica con un cuestionario electrónico (PreQuest) que facilita la gestión automatizada de la información preoperatoria. Preanestes@s permite la evaluación preoperatoria no presencial-no telefónica. Nuestro principal objetivo fue la identificación de aquellos factores que predicen la compleción adecuada de PreQuest. También evaluamos la experiencia del paciente con la aplicación. Materiales y métodos: Incluimos 880 pacientes adultos programados para cirugía entre los años 2020 y 2021. Evaluamos la influencia de las condiciones del paciente en la compleción de PreQuest y su satisfacción con el uso de la aplicación. Resultados: Un total de 573 participantes (65,1%) completaron PreQuest. La edad menor de 65 años y el mayor nivel educativo se identificaron como predictores independientes para la compleción adecuada de PreQuest (p=0,04 y p=0,001, respectivamente). Un 89,4% de los participantes estuvo de acuerdo en que Preanestes@s era intuitivo y fácil de usar, y más del 85% manifestó su acuerdo con la mejora de la comunicación y la facilidad de uso del prototipo de PreQuest. La versión final de Preanestes@s y PreQuest fue evaluada por 218 participantes, y más del 74% corroboraron su facilidad de uso. Conclusiones: El uso de Preanestes@s para la evaluación preoperatoria está respaldado por altos niveles de satisfacción con el prototipo, y por una tasa de compleción del eQuest superior al 65%. En nuestra muestra, la menor edad y el mayor nivel de educación predijeron una más adecuada compleción de PreQuest. Registrado en Clinical Trials con número NCT04259268.(AU)
Background and objectives: We describe the development of Preanestes@s, a web-based application for preoperative assessment, which incorporates PreQuest, a smart computer-based self-assessment questionnaire for the automated management of information. Preanestes@s potentially enables remote non-telephonic preoperative assessment. The main objective of this work was the identification of factors that independently predict adequate completion of PreQuest. As a secondary objective, we assessed patient experience using the application. Material and methods: To assess the influence of patient conditions on PreQuest completion, our sample included 880 adult patients scheduled to undergo surgery at our institution between February 2020 and February 2021. We evaluated patient satisfaction and acceptability with the use of the application and PreQuest. Results: A total of 573 participants (65.1%) successfully completed the PreQuest. Age below 65 years and higher educational attainment were identified as independent predictors for PreQuest completion (P=.04 and P=.001, respectively). Most (89.4%) participants agreed that Preanestes@s was intuitive and easy to use, with over 85% showing high levels of acceptance of PreQuest prototype's communication improvement and ease of use. The final version of Preanestes@s and PreQuest was evaluated by 218 participants, many of whom (>74%) affirmed its ease of use. Conclusions: The use of Preanestes@s for preoperative assessment is supported by high levels of satisfaction with the prototype and by an eQuest completion rate greater than 65% in a non-selective population. In our sample, younger age and higher education attainment predicted higher rates PreQuest completion. Trial registration number NCT04259268.(AU)
Subject(s)
Humans , Male , Female , Adult , Surgical Clearance , Technology , Medical Informatics Applications , Surveys and Questionnaires , Preoperative Care , Patient Health Questionnaire , Electronic Health Records , Process Assessment, Health Care , Patient Satisfaction , Anesthesiology , Prospective Studies , Cohort StudiesABSTRACT
BACKGROUND AND OBJECTIVES: We describe the development of Preanestes@s, a web-based application for preoperative assessment, which incorporates PreQuest, a smart computer-based self-assessment questionnaire for the automated management of information. Preanestes@s potentially enables remote non-telephonic preoperative assessment. The main objective of this work was the identification of factors that independently predict adequate completion of PreQuest. As a secondary objective, we assessed patient experience using the application. MATERIAL AND METHODS: To assess the influence of patient conditions on PreQuest completion, our sample included 880 adult patients scheduled to undergo surgery at our institution between February 2020 and February 2021. We evaluated patient satisfaction and acceptability with the use of the application and PreQuest. RESULTS: A total of 573 participants (65.1%) successfully completed the PreQuest. Age below 65 years and higher educational attainment were identified as independent predictors for PreQuest completion (p = 0.04 and p = 0.001, respectively). Most (89.4%) participants agreed that Preanestes@s was intuitive and easy to use, with over 85% showing high levels of acceptance of PreQuest prototype's communication improvement and ease of use. The final version of Preanestes@s and PreQuest was evaluated by 218 participants, many of whom (>74%) affirmed its ease of use. CONCLUSIONS: The use of Preanestes@s for preoperative assessment is supported by high levels of satisfaction with the prototype and by an eQuest completion rate greater than 65% in a non-selective population. In our sample, younger age and higher education attainment predicted higher rates PreQuest completion. Trial registration number NCT04259268.
Subject(s)
Electronics , Patient Satisfaction , Adult , Humans , Internet , Prospective Studies , Surveys and QuestionnairesABSTRACT
The habits and lifestyles are the fundamental factors in the control of cardiovascular risk. Patients who have had a cerebrovascular accident (CVA) have a high risk of having a new event with similar characteristics. The exponentially growing success, penetration and adherence of the new communication technologies, based on applications (APPs), allows to use them to obtain information and influence the risk factors. We propose that empowering patients in their disease can make a more efficient management of it. For this reason, we designed and developed a system which integrates a mobile application and a web application. This system also makes use of peripheral devices to monitor patients and allow the automatic acquisition of information to enable the characterization of this kind of patients in relation to habits and lifestyle. At the same time, the system can also empower these patients with their disease to do secondary prevention.
