Digital Health to support information, communication and data management in reproductive planning: a systematic review

Article type
Authors
Machado G1, Griza A1, Loose U1, Timóteo Lutz A1, Tetelbom Stein A2, Silva Herbert J1
1Graduate Program in Information Technology and Healthcare Management (Federal University of Health Sciences of Porto Alegre/UFCSPA), Porto Alegre, Rio Grande do Sul, Brasil
2Graduate Program in Information Technology and Healthcare Management (Federal University of Health Sciences of Porto Alegre/UFCSPA), Porto Alegre, Rio Grande do Sul, Brasil; Graduate Program in Health Sciences (Federal University of Health Sciences of Porto Alegre/UFCSPA), Porto Alegre, RS, Brasil
Abstract
"Background: Challenges related to data visualization and monitoring in reproductive planning contribute significantly to many unplanned pregnancies. Several approaches in digital health were developed to create alternatives to the care gaps found by current reproductive planning models in the world and find efficient solutions to the main problems related to the provision of services in reproductive health.
Objectives: This systematic literature review aims to describe the use of Digital Health for innovation in reproductive planning and characterize the evidence related to reproductive planning models based on this tool.
Methods: Based on the directives established by Kitchenham et al. (2015), this systematic review selected studies from four research bases published in English or Portuguese in the last five years (from January 2015 to July 2020). This study contains (1) Research questions, (2) Search strategy, (3) Inclusion and exclusion criteria, (4) Quality criteria, (5) Data extraction, (6) Results, (7) Discussion, (8) Limitations, and (9) Conclusion. All stages of the protocol definition had pair participation. This work was reviewed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and the Risk of Bias in Systematic Reviews. Registration was performed at PROSPERO (CRD42021262940).
Results: Initially, 388 articles were identified in 4 databases (Pubmed, Scopus, Web of Science, and Embase). After applying inclusion and exclusion criteria, 29 articles were selected. After evaluating their internal and external validity, 18 articles remained, which presented the most diverse tools in health information technology - such as a blog, e-learning models, clinical applications, Interactive Voice Calls (IVR), decision aid algorithms, data collection applications, spatial analysis applications such as Geographic Information Systems (GIS) and the use of telehealth, such tools being aimed at health professionals or patients themselves.
Conclusions: The models based on Digital Health aimed at reproductive planning that exist so far can be used as a key component of an implementation strategy to promote guideline development. This systematic review can also enhance leadership and stakeholder engagement strategies in reproductive/sexual health and identify areas where reproductive planning services can be optimized."