Health Equity, Diversity, and Inclusion

Thompson, Anabell Castro

doi:10.1177/1540415316681883

Cited by 1 publication

(1 citation statement)

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“…Important concepts such as Cultural diversity and Cultural competency are well-represented concepts in this semantic network. These two concepts are indeed closely connected: embracing Cultural diversity helps healthcare providers to offer their services, recognizing the unique social, cultural and even linguistic features of their patients in the context of their populations ( 97 , 98 ), this in turn leads to Cultural competency of the health systems, that is, the ability of such systems to provide care consistent with the values beliefs and behaviors of the patients ( 5 , 99 ). However, other concepts such as Empathy, Self-concept and Attitude to health/ethnology are scarcely connected to the main discourse as reflected by their degree rankings (places 443, 530 and 564 out of 691 respectively).…”

Section: Discussionmentioning

confidence: 99%

Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis

Martínez-García

Camacho

Hernández‐Lemus

2022

Front. Public Health

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Health equity is a rather complex issue. Social context and economical disparities, are known to be determining factors. Cultural and educational constrains however, are also important contributors to the establishment and development of health inequities. As an important starting point for a comprehensive discussion, a detailed analysis of the literature corpus is thus desirable: we need to recognize what has been done, under what circumstances, even what possible sources of bias exist in our current discussion on this relevant issue. By finding these trends and biases we will be better equipped to modulate them and find avenues that may lead us to a more integrated view of health inequity, potentially enhancing our capabilities to intervene to ameliorate it. In this study, we characterized at a large scale, the social and cultural determinants most frequently reported in current global research of health inequity and the interrelationships among them in different populations under diverse contexts. We used a data/literature mining approach to the current literature followed by a semantic network analysis of the interrelationships discovered. The analyzed structured corpus consisted in circa 950 articles categorized by means of the Medical Subheadings (MeSH) content-descriptor from 2014 to 2021. Further analyses involved systematic searches in the LILACS and DOAJ databases, as additional sources. The use of data analytics techniques allowed us to find a number of non-trivial connections, pointed out to existing biases and under-represented issues and let us discuss what are the most relevant concepts that are (and are not) being discussed in the context of Health Equity and Culture.

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