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Structural Competency and Reproductive Health

Overview of attention for article published in AMA Journal of Ethics, March 2018
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Mentioned by

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19 tweeters

Citations

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14 Dimensions

Readers on

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29 Mendeley
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Title
Structural Competency and Reproductive Health
Published in
AMA Journal of Ethics, March 2018
DOI 10.1001/journalofethics.2018.20.3.peer1-1803
Pubmed ID
Abstract

Reproductive health disparities-particularly those experienced by racial and ethnic minority groups-are considered a persistent public health issue in the United States. Frameworks that focus on social determinants of health seek to identify the forces producing these disparities, particularly social conditions that create vulnerability to premature death and disease. Such frameworks pose challenges to health care provision, as structural factors can seem immutable to health care professionals trained to treat individual patients. Here, we discuss the links between reproductive health disparities and social determinants of health. We then apply to reproductive health care the structural competency framework, developed by physician-scholars to encourage health care professionals to address health disparities by analyzing and intervening upon sociopolitical forces.

Twitter Demographics

The data shown below were collected from the profiles of 19 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 31%
Student > Master 5 17%
Researcher 2 7%
Professor > Associate Professor 2 7%
Professor 1 3%
Other 3 10%
Unknown 7 24%
Readers by discipline Count As %
Social Sciences 8 28%
Medicine and Dentistry 6 21%
Nursing and Health Professions 3 10%
Arts and Humanities 2 7%
Agricultural and Biological Sciences 1 3%
Other 2 7%
Unknown 7 24%