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Data Analytics to Support Policy Making for Noncommunicable Diseases: Scoping Review

Data Analytics to Support Policy Making for Noncommunicable Diseases: Scoping Review

Data analytics approaches are commonly categorized into 3 broad types: descriptive, predictive, and prescriptive analytics. The 3 types answer different questions but use similar methodologies that can be applied individually or in combination, depending on the health policy objectives, data availability, and decision-making context. Descriptive analytics summarize past and present trends and patterns in the data to answer the question “What happened?”

Giorgos Dritsakis, Ioannis Gallos, Maria-Elisavet Psomiadi, Angelos Amditis, Dimitra Dionysiou

Online J Public Health Inform 2024;16:e59906

Parents’ User Experience Accessing and Using a Web-Based Map of COVID-19 Recommendations for Health Decision-Making: Qualitative Descriptive Study

Parents’ User Experience Accessing and Using a Web-Based Map of COVID-19 Recommendations for Health Decision-Making: Qualitative Descriptive Study

We conducted a qualitative-descriptive study [16]. Participants were eligible and self-identified for study enrollment if they were a parent, legal guardian, or grandparent of a child aged 18 years or younger, were aged 18 years or older themselves, lived in Canada, could read and speak English, had access to email and the internet through a computer, tablet, or smartphone.

Samantha Cyrkot, Lisa Hartling, Shannon D Scott, Sarah A Elliott

JMIR Form Res 2024;8:e53593