Leveraging data and digital health technologies to assess and impact social determinants of health (SDoH)
PDF

How to Cite

Craig, K. J. T., Fusco, N., Gunnarsdottir, T., Chamberland, L., Snowdon, J., & Kassler, W. (2021). Leveraging data and digital health technologies to assess and impact social determinants of health (SDoH) . Online Journal of Public Health Informatics, 13(3). https://doi.org/10.5210/ojphi.v13i3.11081

Abstract

Objective: Identify how novel datasets and digital health technology, including analytics- and artificial intelligence (AI)-based tools, can be used to assess non-clinical, social determinants of health (SDoH) for population health improvement.

Methods: A targeted review with systematic methods was performed on three databases and the grey literature to identify recently published articles (2013-2018) for evidence-based qualitative synthesis. Following single review of titles and abstracts, two independent reviewers assessed eligibility of full-texts using predefined criteria and extracted data into predefined templates.

Results: The search yielded 2,714 unique database records of which 65 met inclusion criteria. Most studies were conducted retrospectively in a United States community setting. Identity, behavioral, and economic factors were frequently identified social determinants, due to reliance on administrative data. Three main themes were identified: 1) improve access to data and technology with policy – advance the standardization and interoperability of data, and expand consumer access to digital health technologies; 2) leverage data aggregation – enrich SDoH insights using multiple data sources, and use analytics- and AI-based methods to aggregate data; and 3) use analytics and AI-based methods to assess and address SDoH – retrieve SDoH in unstructured and structured data, and provide contextual care management sights and community-level interventions.

Conclusions: If multiple datasets and advanced analytical technologies can be effectively integrated, and consumers have access to and literacy of technology, more SDoH insights can be identified and targeted to improve public health.

https://doi.org/10.5210/ojphi.v13i3.11081
PDF
Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. Share-alike: when posting copies or adaptations of the work, release the work under the same license as the original. For any other use of articles, please contact the copyright owner. The journal/publisher is not responsible for subsequent uses of the work, including uses infringing the above license. It is the author's responsibility to bring an infringement action if so desired by the author.