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Introdução: O século XXI trouxe novos paradigmas na tecnologia da informação, com repercussões nos mais diversos aspectos da vida cotidiana. Aplicativos móveis, sites, softwares desenvolvidos para smartphones e tablets são cada vez mais utilizados na área da saúde, permitindo o suporte remoto ao paciente ou a autopromoção dos cuidados com a saúde. O rastreio do câncer de próstata (CP) permitiu o diagnóstico de CP em fases iniciais, resultando em procedimentos mais curativos, como a prostatectomia radical. Entre as principais complicações após a cirurgia estão a incontinência urinária e a disfunção erétil. No entanto, os números exatos relacionados a essas morbidades estão sempre escassos devido à breve entrevista durante a consulta no consultório médico. Portanto, o objetivo do estudo foi construir um aplicativo para coletar dados de pacientes sobre a recuperação após o tratamento em um ambiente informal e mais confortável. Métodos: O aplicativo foi construído usando o sistema IONIC Framework e aplicado aos pacientes através de um estudo prospectivo randomizado. Foram incluídos 100 pacientes divididos em dois grupos 1. Pacientes que usaram o aplicativo (n = 50) 2. Pacientes que responderam através de questionários impressos validados (grupo controle) (n = 50). Todos os pacientes receberam aconselhamento de alta para responder aos questionários 1, 3, 6 e 12 meses após o procedimento. O grupo de aplicativos após orientações verbais sobre como o monitoramento ocorreria recebeu um SMS com um nome de usuário e senha permitindo o acesso ao sistema e enviou alertas aos usuários para responder aos questionários. Resultados: O aplicativo desenvolvido é chamado UroHealth e está disponível para download na loja da Apple ou no site www.urohealth.com.br. A média de idade dos pacientes foi de 64,45 anos (± 8,33). Idade, PSA, volume da próstata, grau ISUP e estadiamento patológico foram semelhantes entre os grupos. Quando avaliamos as taxas de resposta, encontramos que 43,8% dos pacientes responderam ao questionário pré-operatório no grupo app, enquanto 16,3% responderam no grupo controle (p = 0,003). O acompanhamento em um, três, seis e 12 meses manteve taxas de resposta mais altas no grupo app, mas não houve significância estatística para nenhum deles (p > 0,05). Conclusão: O desenvolvimento de aplicativos, como o UroHealth, pode ser de grande valor no acompanhamento de pacientes após procedimentos cirúrgicos, permitindo informações de boa qualidade quanto à recuperação e morbidade relacionada ao tratamento. Nossos resultados iniciais indicam que pode se tornar uma ferramenta útil na obtenção de respostas mais frequentes e realistas, auxiliando na melhora das técnicas cirúrgica Introduction: The 21st century brought new paradigms in information technology, with repercussions in the most diverse aspects of daily life. Mobile applications, websites, softwares developed for smartphones and tablets are increasingly used in healthcare, allowing remote patient support or self-promotion of health care. The prostate cancer (PC) screening allowed PC diagnosis in early stages resulting in more curative procedures as radical prostatectomy. Among the main complications following surgery are urinary incontinence and erectile dysfunction. However, the exact numbers related to these morbidities are often missing due to the brief interview during consultation in the medical office. Therefore, the objective of the study was to build an app to collect data of patients regarding recovery after treatment in an informal and more comfortable environment. Methods:The app was built using the IONIC Framework system and applied to patients through a prospective randomized study. We included 100 patients divided into two groups 1. Patients who used the app (n = 50) 2. Patients who responded via validated printed questionnaires (control group) (n = 50). All patients received discharge counseling to respond to questionnaires 1, 3, 6 and 12 months after the procedure. The app group after verbal guidance on how the monitoring would occur received an SMS with a user name and password allowing access to the system and sent alerts to users to respond the questionnaires. Results: The app developed is called UroHealth and is available for download in the Apple store or at www.urohealth.com.br. The mean age of patients was 64.45 years-old (± 8.33). Age, PSA, prostate volume, ISUP grade and pathological staging were similar between groups. When we evaluated response rates, we found that 43.8% of the patients answered the preoperative questionnaire in the app group while 16.3% responded in the control group (p = 0.003). The follow up in one, three, six and 12 months maintained higher response rates in the app group, but there was no statistical significance for any of them (p > 0.05). Conclusion: The app development, such as UroHealth may be of great value in monitoring patients after surgical procedures, allowing information of good quality regarding recovery and morbidity related to treatment. Our initial results indicate that it may become a useful tool in obtaining more frequent and realistic answers, helping the improvement of surgical techniques

Introduction Mobile applications (“apps”) developed for smartphones and tablets are increasingly used in healthcare, allowing remote patient support or promoting self-health care. Prostate cancer (PC) screening allows for early-stage PC diagnosis, resulting in high rates of curative procedures such as radical prostatectomy. The main complications following surgery are urinary incontinence and erectile dysfunction. However, the exact numbers related to these morbidities are often missing due to brief interviews during consultations in the medical office. Therefore, the aim of this study was to create an app to determine whether response rates to pre- and post-surgical PC questionnaires will increase. Methods The app was built using the IONIC framework system and provided to patients through a prospective randomized study. We included 100 patients divided into two groups: 1. first group used the app (n = 50); and 2. second group responded via validated printed questionnaires (control group) (n = 50). All patients received discharge counseling to respond to the questionnaires 1, 3, 6 and 12 months after the procedure. The app group received verbal guidance on how monitoring would occur, received an SMS containing a username and password providing access to the system and received reminder alerts to respond to the questionnaires. Results The new app is called UroHealth and is available for download in the Apple App Store or at www.urohealth.com.br . When we evaluated the response rates, we found that 42.9% of the patients answered the preoperative questionnaire in the app group, while 16% responded in the control group (p = 0.003). By the end of the follow-up, we found that 24.5% of the patients answered the questionnaire in the app group, while 4% responded in the control group (p = 0.003). Conclusion This app enabled almost 6 times more patients to answer long-term follow-up questions after surgical procedures, providing high-quality information regarding morbidity related to treatment. Although our initial results indicate that this app may become a useful tool in obtaining more frequent and realistic answers, thus helping to improve surgical techniques, other ways of reaching the patient should be tested to achieve higher response rates.