Data Disaggregation: A Research Tool to Identify Health Inequities

Gigli, Kristin Hittle

doi:10.1016/j.pedhc.2020.12.002

Cited by 10 publications

(6 citation statements)

References 10 publications

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“…Characterizations and examinations of the U.S. Latino populations health research can no longer be described without attention to and recognition of demographic characteristics (e.g., race, ethnic origin, education, nativity) [ 7 ] and the disaggregation of data by Latino subgroups. These two analytic strategies allow for needed discovery of population differences by socioeconomic status, place, and other dimensions of inequality [ 11 , 83 , 84 ].…”

Section: Resultsmentioning

confidence: 99%

Critical analyses of Latina mortality: disentangling the heterogeneity of ethnic origin, place, nativity, race, and socioeconomic status

Errisuriz,

Zambrana,

Parra-Medina

2024

BMC Public Health

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Despite the significant body of research on social determinants of health (SDH) and mortality, limited knowledge is available on the epidemiology of aggregated Latino health overall, and by women and subgroups. In population health studies, U.S. Latinos often are considered a monolithic population and presented as an aggregate, obscuring the diversity and variations within and across Latino subgroups, contributing to missed opportunities to identify SDH of health outcomes, and limiting the understanding of health differences. Given diverse environmental, racial, class, and geographic factors, a specific focus on women facilitates a more in-depth view of health disparities. This paper provides a scoping review of current gaps in research that assesses the relationships between SDH and mortality rates for the five leading causes of chronic-disease related deaths among Latinas by ethnic origin, place, race, and SES. We analyzed 2020 national mortality statistics from the CDC WONDER Online database jointly with reviews of empirical articles on Latina health, employing the EBSCOhost MEDLINE databases. These findings challenge the phenomenon of the Hispanic paradox that identified Latinos as a relatively healthy population compared to non-Hispanic White populations despite their lower economic status. The findings confirm that prior research on Latino women had methodological limitations due to the exclusion of SDH and an overemphasis on culturalist perspectives, while overlooking the critical role of socioeconomic impacts on health. Findings indicate major knowledge gaps in Latina mortality by SDH and subgroups that may undermine surveillance efforts and treatment efficacy. We offer forward-looking recommendations to assure the inclusion of key SDH associated with Latina mortality by subgroup as essential to inform future studies, intervention programs, and health policy.

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Section: Resultsmentioning

confidence: 99%

Critical analyses of Latina mortality: disentangling the heterogeneity of ethnic origin, place, nativity, race, and socioeconomic status

Errisuriz,

Zambrana,

Parra-Medina

2024

BMC Public Health

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“…Advocacy groups including Arab American Institute and Southeast Asia Resource Action Center have been very vocal about the importance of data disaggregation. Additionally, the need for disaggregation has been an issue acknowledged by researchers across disciplines outside of GATE literature (e.g., Gigli, 2021; Kauh et al, 2021; Lurie & Fremont, 2006). For example, researchers Li and Koedel (2017) incorporated physical appearances in determining racial/ethnic and gender designations in their study.…”

Section: Data Aggregationmentioning

confidence: 99%

“…Kauh et al (2021) argued that racial and ethnic data in aggregate impedes identification of and intervention of within group disparities by health and social services. Researchers (Gigli, 2021, Lee et al, 2019) from the biomedical field echoed similar shortcomings. Lee et al (2019) conducted a content analysis of literature from biomedical research publications ( N = 204) and found inadequacies in the differentiation of race and ethnicity within the body of research.…”

Section: Data Aggregationmentioning

confidence: 99%

“…56–57). For the purpose of this discourse, data aggregation refers to the collection, categorization, and tabulation of sociodemographic characteristics of a population and where the choice of aggregation procedure leads to higher level categories for administrative and policy purposes (Gigli, 2021; Kauh et al, 2021).

Figure 1.United Nations educational, scientific and cultural organization map of Asia and the Pacifics. Note .…”

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confidence: 99%

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A Renewed Call for Disaggregation of Racial and Ethnic Data: Advancing Scientific Rigor and Equity in Gifted and Talented Education Research

Yeung

Mun

2022

Journal for the Education of the Gifted

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Researchers in gifted and talented education (GATE) have increasingly taken on the role of advocating equity and access for minoritized populations. However, subgroups of racially and ethnically diverse students are rarely disaggregated from monolithic racial and ethnic categories. Studies on academic achievement of Asian American and White students, based on aggregated data, risk straying from scientific rigor and may lead to conclusions that further contribute to the masking of inequities and disparities of nested subgroups. The roots of this phenomenon can be traced to the practice of racial/ethnic data aggregation from the national level on down. We contend that fair and equitable access should be afforded to all students and call for the normalization of racial/ethnic data disaggregation in GATE research to increase scientific rigor in our scholarship and unmask intra-ethnic inequities.

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“…Some studies (28 percent) allowed respondents to select multiple racial identification options, while others used qualitative interviews or allowed respondents to identify with a Biracial, Multiracial or mixed category (Charmaraman et al, 2014). Researchers must then also make decisions about how to aggregate such data and into how many Multiracial subcategories, as these decisions may accentuate or minimize group differences in health and education (Gigli, 2021;Herman, 2020).…”

Section: Challenges In Defining Multiracial Peoplementioning

confidence: 99%

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Albuja

West

Gaither

2022

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Most research has investigated Multiracial and Multicultural populations as separate topics, despite demographic and experiential overlap between these. This Element bridges that divide by reviewing and comparing Multiracial and Multicultural research to date-their origins, theoretical and methodological development, and key findings in identity negotiation, socialization, and discrimination-to identify points of synthesis and differentiation to guide future research. It highlights challenges researchers face when studying these populations because such research topics necessitate that one moves beyond previous frameworks and theories to grapple with identity as flexible, malleable, and influenced both by internal factors and external perceptions. The areas of overlap and difference are meaningful and illustrate the social constructive nature of race and culture, which is always in flux and being re-defined.

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Data Disaggregation: A Research Tool to Identify Health Inequities

Cited by 10 publications

References 10 publications

Critical analyses of Latina mortality: disentangling the heterogeneity of ethnic origin, place, nativity, race, and socioeconomic status

Critical analyses of Latina mortality: disentangling the heterogeneity of ethnic origin, place, nativity, race, and socioeconomic status

A Renewed Call for Disaggregation of Racial and Ethnic Data: Advancing Scientific Rigor and Equity in Gifted and Talented Education Research

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