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X Demographics
Mendeley readers
| Title |
Why Add "Abolition" to the National Academies of Sciences, Engineering, and Medicine's Social Care Framework?
|
|---|---|
| Published in |
The AMA Journal of Ethic, March 2022
|
| DOI | 10.1001/amajethics.2022.170 |
| Pubmed ID | |
| Authors |
Laura M Gottlieb, Stacy Tessler Lindau, Monica E Peek |
| Abstract |
Abundant evidence demonstrates that enduring, endemic racism plays an important role in determining patient health. This commentary reviews a patient case about disease self-management and subsequent health outcomes that are shaped by social and economic circumstances. We analyze the case using a framework for social care developed in 2019 by the National Academies of Sciences, Engineering, and Medicine (NASEM). We then propose that the NASEM framework be adapted by adding the category abolition, which could make the other social care practices transformative for historically marginalized populations. |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 23 | 62% |
| Australia | 2 | 5% |
| United Kingdom | 1 | 3% |
| Unknown | 11 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 41% |
| Scientists | 11 | 30% |
| Practitioners (doctors, other healthcare professionals) | 10 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 20% |
| Unknown | 4 | 80% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 1 | 20% |
| Unknown | 4 | 80% |