Moglie: protótipo de aplicação mobile para autogerenciamento da Diabetes Mellitus

Pesquisa sem auxílio de agências de fomentoTrabalho de Conclusão de Curso (Graduação)O Diabetes Mellitus (DM) é uma doença grave e crônica que acomete a milhões de pessoas ao redor do mundo. Essa patologia, quando não controlada adequadamente, pode acarretar no surgimento de inúmeras comorbidades e complicações. As soluções m-Health podem ser um aliado ao tratamento, a partir da continuação de comportamentos positivos contra a doença. O presente trabalho apresenta o desenvolvimento do protótipo de um aplicativo mobile para o autogerenciamento do diabetes mellitus, contemplando os principais recursos presentes nos aplicativos existentes no mercado, com uma abordagem simples e acessível, focada no autocuidado e na usabilidade. O Rational Unified Process (RUP) foi escolhido como metodologia para implementar a solução, sendo assim, as atividades metodológicas foram organizadas dentro das fases do RUP: Concepção, Elaboração, Construção e Transição. Foi apresentado um comparativo entre os principais aplicativos usados no gerenciamento e monitoramento à Diabetes Mellitus e uma solução que engloba o maior número de funcionalidades foi desenvolvida. Todos os casos de uso definidos foram divididos em 4 iterações, e ao final de cada iteração um protótipo executável foi gerado. O trabalho focou no desenvolvimento da primeira e da segunda iteração. Os conceitos de engenharia de software e o paradigma de orientação a objetos foram explorados e utilizados na implementação do aplicativo MOGLIE, nativo para dispositivos moveis com o sistema operacional Android. Desenvolvido e testado no ambiente de desenvolvimento integrado Android Studio, o aplicativo apresenta funções como registrar glicemia, medicamentos, refeições, exercícios, criar e gerenciar lembretes, consultar índice e carga glicêmica dos alimentos, entre outros. Foram utilizados os bancos de dados SQLite para armazenamento interno no dispositivo e o Firebase Realtime Database para armazenamento de um backup na nuvem

Mobile Health Technologies

Mobile Health Technologies, also known as mHealth technologies, have emerged, amongst healthcare providers, as the ultimate Technologies-of-Choice for the 21st century in delivering not only transformative change in healthcare delivery, but also critical health information to different communities of practice in integrated healthcare information systems. mHealth technologies nurture seamless platforms and pragmatic tools for managing pertinent health information across the continuum of different healthcare providers. mHealth technologies commonly utilize mobile medical devices, monitoring and wireless devices, and/or telemedicine in healthcare delivery and health research. Today, mHealth technologies provide opportunities to record and monitor conditions of patients with chronic diseases such as asthma, Chronic Obstructive Pulmonary Diseases (COPD) and diabetes mellitus. The intent of this book is to enlighten readers about the theories and applications of mHealth technologies in the healthcare domain

Exploring the potential of using mobile applications in diabetes management

Background Diabetes mellitus is a common chronic disease and a leading cause of morbidity, complications and mortality worldwide. The number of people living with diabetes is projected to rise sharply over the forthcoming decades. Diabetes care is complex and can overburden clinicians and nurses. There is a need for innovative, flexible and cost-effective technologies to enable successful diabetes management. This thesis explores the opportunities and challenges of the mobile application (app) technology as a potential tool to support diabetes care and management. Purpose The purpose was to develop and evaluate a mobile app that supports healthcare professionals (HCPs) in clinical decision-making. Methods A mixed-methods approach was used following the user-centred design (UCD) framework for the design and implementation of all studies. Quantitative and qualitative systematic reviews of studies reporting the use of mobile apps to support diabetes management were undertaken to identify, appraise and summarise available research evidence. An interview study was carried out with diabetes specialist nurses (DSNs), to explore their experiences and views, and to identify user requirements for apps. Lastly, a guidelines-based mobile clinical decision-support app was developed and tested with junior doctors and DSNs in a controlled environment to evaluate its usability and impact on adherence to clinical guidelines, and to explore how participants experienced the app and their suggestions for improvements. Results Both reviews found that the existing evidence base for mobile apps is weak and inadequate to draw conclusions about the impact of their use as interventions in diabetes management. The interview study identified that nurses lack experience in using apps in clinical practice, even though they believed it could facilitate and support their work. ‘Diabetes & CKD’, a simple mobile decision-support app, has been designed and built for the study to assist HCPs in management of patients with diabetes and kidney disease and was tested by 39 junior doctors and 3 DSNs. It had no impact on the accuracy of decisions. Feedback from participants after the pilot session and usability testing indicated a wish to integrate such apps into their clinical practice with a strong willingness to use them in the future. Conclusions Application of UCD methods was efficient as the app was well-accepted by both DSNs and junior doctors. Despite the positive views and the strong willingness to use such apps, they are not widely used. There is a need to regulate the use of medical apps in clinical practice. Further research with rigorous methodology is required upon which policymakers and practitioners can base their decision-making