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X Demographics
Mendeley readers
| Title |
How Should We Respond to Health Care Generating Environmental Harm?
|
|---|---|
| Published in |
The AMA Journal of Ethic, October 2022
|
| DOI | 10.1001/amajethics.2022.1004 |
| Pubmed ID | |
| Authors |
Amy Collins, Shanda Demorest |
| Abstract |
Clinicians and organizations in the health sector have healing missions, and physicians, specifically, take oaths to "do no harm." Yet, paradoxically, health care operations contribute to pollution and exacerbate environmental disease burden. This article offers a view of how health sector actions exacerbate climate warming and iatrogenically harm global public health and argues that clinicians and organizations have ethical responsibilities to respond. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 7 | 44% |
| Spain | 1 | 6% |
| Netherlands | 1 | 6% |
| United Kingdom | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 50% |
| Scientists | 4 | 25% |
| Practitioners (doctors, other healthcare professionals) | 3 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Lecturer | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Environmental Science | 1 | 14% |
| Business, Management and Accounting | 1 | 14% |
| Social Sciences | 1 | 14% |
| Unknown | 3 | 43% |