[Commentary] Building a digital republic to reduce health disparities and improve population health in the United States

Author:

Muennig PeterORCID,Pabayo Roman,Courtin Emilie

Abstract

Income, schooling, and healthcare are key ingredients for health, but most government programs that are designed to provide these social benefits are difficult to access. While many Americans struggle to pay taxes, few understand how difficult it can be for needy Americans to enroll in public social benefits such as Temporary Assistance for Needy Families (one of many income support programs), Pell grants (one of many tuition assistance programs), or Medicaid (one of many public health insurance programs). Perhaps because such programs are difficult to enroll in, only a fraction of needy families receive the social benefits to which they are entitled. That percentage is smaller for those most in need (e.g., those with disabilities or caregiving responsibilities). In this paper, we discuss a novel method for improving health while also improving privacy, reducing fraud, and setting standards for data use. Specifically, we propose a digital identity card that allows for the creation of a “digital republic” in which enrollment in social benefits can be automated, and the benefits can be targeted to those most in need.

Publisher

Qeios Ltd

Subject

General Medicine

Reference38 articles.

1. Phelan JC, Link BG. Fundamental cause theory. Springer; 2013. p. 105-25.

2. Virchow R. Notes on the typhus epidemic prevailing in Upper Silesia. Arch Pathologische Anatomic Physiologic Klinische Medizin. 1849;2:143-322.

3. Courtin E, Kim S, Song S, Yu W, Muennig P. Can Social Policies Improve Health? A Systematic Review and Meta-Analysis of 38 Randomized Trials. Milbank Quarterly. 2020;98(2):297-371.

4. United States Department of the Treasury. Federal spending by category and agency. Available online at: https://datalab.usaspending.gov/americas-finance-guide/spending/categories/. Accessed 7/11/2022.

5. Haskins R, Margolis G. Show me the evidence: Obama's fight for rigor and results in social policy: Brookings Institution Press; 2014.

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