Background: Pregnancy is an important phase in a woman's life, the gestational period however is accompanied by fears and apprehension, especially for women who are experiencing this phase for the first time. Prenatal care is essential to prevent diseases and reduce risk for pregnant women, thus enabling healthy development for the baby. Nowadays many women find it difficult to make an adequate prenatal care, for the most varied reasons. Taking into account that the world is increasingly connected to the internet, it is important to understand, analyzing a set of health applications, which are the best decisions from the design point of view, usability to become a useful application for pregnant women, another relevant point is to understand how the architecture of these solutions were designed to be scalable. Thus, a well-defined systematic review is needed to identify the impacts of architectural, design and performance decisions on health applications, reducing risks and minimizing human errors.
Methods/Design: This study will follow a well-defined methodological structure. The methodology is separated into the following sections: Research question identification; Extraction of relevant studies; Selection criteria; Charting the data; Collating, summarizing, and reporting the results. The research question aims to analyze the approaches used to build health applications aiming at design decisions, architecture and the impacts that are generated for the end user. The researchers will use the following electronic databases for data extraction: PubMed (Medline); IEEE Xplore Digital Library; ACM Digital Library; Web of Science; and Scopus Document Search. The search for research will consist of a set of terms and keywords.
Discussion: This work has the interest of presenting a model, a standard, a guide for creating a health software interface, always aiming at the quality of the interface, the user experience and the possible gain with the performance of the application, considering that users will have more security to make decisions.
Systematic review registration: Submitted on October 11, 2020 Open Science Framework.