Alves Domingos, Yamada Diego Bettiol, Bernardi Filipe Andrade, Carvalho Isabelle, Filho Márcio Eloi Colombo, Neiva Mariane Barros, Lima Vinícius Costa, Félix Têmis Maria
Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Public Health Postgraduate Program, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
JMIR Res Protoc. 2021 Jan 22;10(1):e24826. doi: 10.2196/24826.
A rare disease is a medical condition with low prevalence in the general population, but these can collectively affect up to 10% of the population. Thus, rare diseases have a significant impact on the health care system, and health professionals must be familiar with their diagnosis, management, and treatment.
This paper aims to provide health indicators regarding the rare diseases in Brazil and to create a network of reference centers with health professionals from different regions of the country. RARASnet proposes to map, analyze, and communicate all the data regarding the infrastructure of the centers and the patients' progress or needs. The focus of the proposed study is to provide all the technical infrastructure and analysis, following the World Health Organization and the Brazilian Ministry of Health guidelines.
To build this digitized system, we will provide a security framework to assure the privacy and protection of each patient when collecting data. Systems development life cycle methodologies will also be applied to align software development, infrastructure operation, and quality assurance. After data collection of all information designed by the specialists, the computational analysis, modeling, and results will be communicated in scientific research papers and a digital health observatory.
The project has several activities, and it is in an initial stage. Initially, a survey was given to all health care centers to understand the technical aspects of each network member, such as the existence of computers, technical support staff, and digitized systems. In this survey, we detected that 59% (23/39) of participating health units have electronic medical records, while 41% (16/39) have paper records. Therefore, we will have different strategies to access the data from each center in the data collection phase. Later, we will standardize and analyze the clinical and epidemiological data and use these data to develop a national network for monitoring rare diseases and a digital health observatory to make the information available. The project had its financing approved in December 2019. Retrospective data collection started in October 2020, and we expect to finish in January 2021. During the third quarter of 2020, we enrolled 40 health institutions from all regions of Brazil.
The nature of rare disease diagnosis is complex and diverse, and many problems will be faced in the evolution of the project. However, decisions based on data analysis are the best option for the improvement of the rare disease network in Brazil. The creation of RARASnet, along with all the digitized infrastructure, can improve the accessibility of information and standardization of rare diseases in the country.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/24826.
罕见病是一种在普通人群中患病率较低的病症,但这些病症加起来可能会影响高达10%的人口。因此,罕见病对医疗保健系统有重大影响,卫生专业人员必须熟悉其诊断、管理和治疗方法。
本文旨在提供有关巴西罕见病的健康指标,并与该国不同地区的卫生专业人员建立一个参考中心网络。RARASnet计划绘制、分析并交流有关各中心基础设施以及患者病情进展或需求的所有数据。拟议研究的重点是按照世界卫生组织和巴西卫生部的指导方针提供所有技术基础设施和分析。
为构建这个数字化系统,我们将提供一个安全框架,以确保在收集数据时保护每位患者的隐私。还将应用系统开发生命周期方法来协调软件开发、基础设施运营和质量保证。在收集专家设计的所有信息后进行数据收集,计算分析、建模和结果将在科研论文和数字健康观测站中进行交流汇报。
该项目有多项活动,目前处于初始阶段。最初,对所有医疗保健中心进行了一项调查,以了解每个网络成员的技术方面情况,例如计算机的配备、技术支持人员以及数字化系统的情况。在这项调查中,我们发现59%(23/39)参与调查的卫生单位有电子病历,而41%(16/39)有纸质病历。所以,在数据收集阶段,我们将针对从每个中心获取数据采取不同策略。之后,我们将对临床和流行病学数据进行标准化和分析,并利用这些数据建立一个全国罕见病监测网络和一个数字健康观测站,以使信息可用。该项目于2019年12月获得资金批准。回顾性数据收集于2020年10月开始,预计2021年1月完成。在2020年第三季度,我们招募了来自巴西所有地区的40家卫生机构。
罕见病诊断的性质复杂多样,在项目推进过程中会面临许多问题。然而,基于数据分析做出决策是改善巴西罕见病网络的最佳选择。创建RARASnet以及所有数字化基础设施,可以提高该国罕见病信息的可及性和标准化程度。
国际注册报告识别码(IRRID):DERR1-10.2196/24826。