How to Motivate Equity in Health Decision Modeling
Bibliographic Data
| ID | 15747839 |
|---|---|
| Authors | Robert I Field (0000-0002-1325-3504, Drexel University, corresponding author) |
| Year | 2021 |
| Volume | 23 |
| Issue | 8 |
| Pages | E648-652 |
| Publication date | 2021-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The AMA Journal of Ethic (JOURNAL) |
| Journal identifiers | ISSN: 2376-6980 • E-ISSN: 2376-6980 |
| Publisher | American Medical Association (PUBLISHER • US) |
| DOI | 10.1001/amajethics.2021.648 |
| PMID | 34459733 |
| OpenAlex | W3191370728 |
| Language | EN |
| Citations received | 1 |
| References cited | 4 |
American health care is rife with inequity in access to services. Even among people with insurance, inequity can result from insurers' decisions about which services to cover. These decisions are often based on economic models that are seemingly objective but neglect factors affecting people who are economically disadvantaged. Laws and government programs designed to mitigate inequities in access have limited value in addressing bias in models that inform coverage decisions. As a reform, government agencies that fund research could require that studies on which decision models are based better account for factors affecting people who are economically disadvantaged, an approach this article explores
Actuarial science · Business · Economic growth · Economics · Equity (law · Health care · Health equity · Political science · Public economics · Global Health Care Issues · Healthcare Policy and Management · Healthcare Systems and Reforms
| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |