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How Should Nonprofit Hospitals' Community Benefit Be More Responsive to Health Disparities?

Overview of attention for article published in AMA Journal of Ethics, March 2019
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Mentioned by

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1 news outlet
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17 tweeters

Citations

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19 Dimensions

Readers on

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47 Mendeley
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Title
How Should Nonprofit Hospitals' Community Benefit Be More Responsive to Health Disparities?
Published in
AMA Journal of Ethics, March 2019
DOI 10.1001/amajethics.2019.273
Pubmed ID
Abstract

In 1956, the Internal Revenue Service created the expectation that nonprofit hospitals would offer uncompensated care for those unable to pay; this was the beginning of Community Benefit (CB). CB efforts tend to prioritize inpatient medical care over developing community-based health improvements, and few CB resources are directed toward responding to health disparities. Changes to federal policy should address these concerns by (1) requiring community partners' involvement in CB implementation strategies, (2) requiring that community health needs assessments (CHNAs) be completed every 5 years instead of every 3 years, (3) changing the Internal Revenue Code to recognize organizations' work on social determinants as CB, and (4) requiring CHNAs to describe a community's health disparities and clarify how their implementation strategies address them. These changes would likely promote hospitals' engagement with public health departments, collaboration with community-based nonprofit organizations, and greater focus on health equity.

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 23 49%
Researcher 4 9%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 3 6%
Student > Master 3 6%
Other 6 13%
Unknown 4 9%
Readers by discipline Count As %
Unspecified 25 53%
Nursing and Health Professions 5 11%
Social Sciences 4 9%
Medicine and Dentistry 2 4%
Decision Sciences 1 2%
Other 1 2%
Unknown 9 19%