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Utilization of Standardized Mental Health Assessments in Anthropological Research: Possibilities and Pitfalls

Overview of attention for article published in Culture, Medicine, and Psychiatry, August 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

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79 Mendeley
Title
Utilization of Standardized Mental Health Assessments in Anthropological Research: Possibilities and Pitfalls
Published in
Culture, Medicine, and Psychiatry, August 2016
DOI 10.1007/s11013-016-9502-y
Pubmed ID
Authors

Emily Mendenhall, Kristin Yarris, Brandon A. Kohrt

Abstract

In the past decade anthropologists working the boundary of culture, medicine, and psychiatry have drawn from ethnographic and epidemiological methods to interdigitate data and provide more depth in understanding critical health problems. But rarely do these studies incorporate psychiatric inventories with ethnographic analysis. This article shows how triangulation of research methods strengthens scholars' ability (1) to draw conclusions from smaller data sets and facilitate comparisons of what suffering means across contexts; (2) to unpack the complexities of ethnographic and narrative data by way of interdigitating narratives with standardized evaluations of psychological distress; and (3) to enhance the translatability of narrative data to interventionists and to make anthropological research more accessible to policymakers. The crux of this argument is based on two discrete case studies, one community sample of Nicaraguan grandmothers in urban Nicaragua, and another clinic-based study of Mexican immigrant women in urban United States, which represent different populations, methodologies, and instruments. Yet, both authors critically examine narrative data and then use the Center for Epidemiologic Studies Depression Scale to further unpack meaning of psychological suffering by analyzing symptomatology. Such integrative methodologies illustrate how incorporating results from standardized mental health assessments can corroborate meaning-making in anthropology while advancing anthropological contributions to mental health treatment and policy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 78 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 20%
Student > Bachelor 13 16%
Researcher 10 13%
Student > Master 10 13%
Student > Doctoral Student 9 11%
Other 9 11%
Unknown 12 15%
Readers by discipline Count As %
Psychology 20 25%
Social Sciences 13 16%
Nursing and Health Professions 7 9%
Medicine and Dentistry 7 9%
Arts and Humanities 4 5%
Other 10 13%
Unknown 18 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 December 2016.
All research outputs
#2,749,956
of 23,906,448 outputs
Outputs from Culture, Medicine, and Psychiatry
#181
of 622 outputs
Outputs of similar age
#47,687
of 347,358 outputs
Outputs of similar age from Culture, Medicine, and Psychiatry
#2
of 4 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 622 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 347,358 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.