Shishido Henrique Yoshikazu, Alves da Cruz de Andrade Ricardo, Eler Gabrielle Jacklin
Department of Computer Engineering, Federal Technological University of Paraná, Brazil.
Collegiate Nursing Technician Course, Federal Institute of Paraná, Brazil.
Stud Health Technol Inform. 2014;201:425-32.
Traditional population surveys use paper forms that are filled manually by an interviewer. This process can take a long time; in comparison, computerizing the process reduces time, promotes safety and accuracy of data, improves patient care, and offers better control over the compiled information. From this perspective, it can be argued that mobile health supports mechanisms for the diagnosis, control, and prevention of metabolic diseases. In recent years, mobile devices have been applied in several health areas, such as remote monitoring, data logging, clinical decision-making, and with applications that can help maintain or initiate practices beneficial to individual health and wellbeing. However, there is a lack of applications for conducting population surveys. Thus, this work presents an application called mHealth Data Collector (mHDC) as a model for applications used in population surveys that contain such data as Body Mass Index (BMI), health-related issues, and health habit indicators. The design of this system occurred through interviews with health professionals who utilized a prototyping method to extract requirements. To develop this mobile app, the Android platform was adopted and the SQLite database was used to store patients' health data. The JExcelAPI and AchartEngine were also employed to generate spreadsheets and charts. The mHDC was tested using a case study in a Brazilian city. The results indicated that the health team took half the time to interview patients. In addition, the system has reduced the use of paper; centered and organized data; and allowed quick data recovery and standardization to improve the readability of data input. The mHDC proved efficient at collecting, analyzing, and safely exporting the results, thus reducing time collecting and analyzing the population survey.
传统的人口调查使用纸质表格，由访谈员手动填写。这个过程可能需要很长时间；相比之下，将这个过程计算机化可以减少时间、提高数据的安全性和准确性、改善患者护理，并能更好地控制所汇编的信息。从这个角度来看，可以说移动健康支持代谢疾病的诊断、控制和预防机制。近年来，移动设备已应用于多个健康领域，如远程监测、数据记录、临床决策，以及一些有助于维持或启动有益于个人健康和福祉的行为的应用程序。然而，缺乏用于进行人口调查的应用程序。因此，这项工作提出了一个名为移动健康数据收集器（mHDC）的应用程序，作为用于人口调查的应用程序模型，该模型包含体重指数（BMI）、健康相关问题和健康习惯指标等数据。该系统的设计是通过与健康专业人员进行访谈完成的，他们采用原型法来提取需求。为了开发这个移动应用程序，采用了安卓平台，并使用SQLite数据库来存储患者的健康数据。还使用了JExcelAPI和AchartEngine来生成电子表格和图表。mHDC在巴西一个城市进行了案例研究测试。结果表明，健康团队访谈患者的时间减少了一半。此外，该系统减少了纸张的使用；使数据集中化和条理化；并允许快速的数据恢复和标准化，以提高数据输入的可读性。mHDC在收集、分析和安全导出结果方面证明是有效的，从而减少了人口调查的收集和分析时间。
