Concepts of race and ethnicity among health researchers: patterns and implications

Race and ethnicity reporting in endometrial cancer literature

OBJECTIVES

There is evidence that there are differences in survival outcomes among patients with endometrial cancer of different ethnic groups. We aimed to assess the quantity and quality of race/ethnicity reporting in the literature on endometrial cancer published from January 2020 to December 2020.

METHODS

In this systematic review, electronic searches of PubMed, MEDLINE, Web of Sciences, Scopus, and Cochrane Library databases were performed for all articles published in 2020. A total of 3330 articles were reviewed, of which 949 (35%) peer-reviewed human-based articles focusing on endometrial cancer were included. Non-research-focused articles, review articles, meta-analyses, case reports, and non-human studies were excluded. We analyzed the proportion of studies reporting race/ethnicity and assessed the quality of reporting with regard to the adherence to the International Committee of Medical Journal Editors (ICMJE) recommendations. We evaluated the influence of study characteristics on race/ethnicity reporting and compared articles published in journals which adhere to the ICMJE recommendations against those that did not explicitly state that they did.

RESULTS

Of the 949 (28.5%) included articles, 166 (17.5%) reported race/ethnicity of patients, with low quality of reporting. The reporting rate of race/ethnicity was similar when comparing articles from ICMJE and non-ICMJE journals (62 (20.4%) vs 104 (16.1%); p=0.11), prospective versus retrospective studies (53 (22.7%) vs 113 (15.8%); p=0.02), and national versus international studies (147 (17.5%) vs 19 (17.4%); p=0.99). Studies performed in the WHO region of Americas were significantly more consistent in reporting race compared with other regions (119 (44.7%) vs 23 (6.8%) European, 2 (7.4%) Eastern Mediterranean, 21 (7.1%) Western Pacific, 0 (0%) South-East Asia; p<0.001). Female corresponding authors were significantly more consistent in reporting race than male authors (94 (22.5%) vs 72 (13.6%); p<0.001).

CONCLUSIONS

Human-based articles focusing on endometrial cancer have a low frequency and quality of race/ethnicity reporting, even in journals claiming to follow ICMJE recommendations.

Ancestry: How researchers use it and what they mean by it

Background: Ancestry is often viewed as a more objective and less objectionable population descriptor than race or ethnicity. Perhaps reflecting this, usage of the term "ancestry" is rapidly growing in genetics research, with ancestry groups referenced in many situations. The appropriate usage of population descriptors in genetics research is an ongoing source of debate. Sound normative guidance should rest on an empirical understanding of current usage; in the case of ancestry, questions about how researchers use the concept, and what they mean by it, remain unanswered. Methods: Systematic literature analysis of 205 articles at least tangentially related to human health from diverse disciplines that use the concept of ancestry, and semi-structured interviews with 44 lead authors of some of those articles. Results: Ancestry is relied on to structure research questions and key methodological approaches. Yet researchers struggle to define it, and/or offer diverse definitions. For some ancestry is a genetic concept, but for many-including geneticists-ancestry is only tangentially related to genetics. For some interviewees, ancestry is explicitly equated to ethnicity; for others it is explicitly distanced from it. Ancestry is operationalized using multiple data types (including genetic variation and self-reported identities), though for a large fraction of articles (26%) it is impossible to tell which data types were used. Across the literature and interviews there is no consistent understanding of how ancestry relates to genetic concepts (including genetic ancestry and population structure), nor how these genetic concepts relate to each other. Beyond this conceptual confusion, practices related to summarizing patterns of genetic variation often rest on uninterrogated conventions. Continental labels are by far the most common type of label applied to ancestry groups. We observed many instances of slippage between reference to ancestry groups and racial groups. Conclusion: Ancestry is in practice a highly ambiguous concept, and far from an objective counterpart to race or ethnicity. It is not uniquely a "biological" construct, and it does not represent a "safe haven" for researchers seeking to avoid evoking race or ethnicity in their work. Distinguishing genetic ancestry from ancestry more broadly will be a necessary part of providing conceptual clarity.

Population designations in biomedical research: Limitations and perspectives

In biomedical research, population differences are of central interest. Variations in the frequency and severity of diseases and in treatment effects among human subpopulation groups are common in many medical conditions. Unfortunately, the practices in terms of subpopulation labeling do not exhibit the level of rigor one would expect in biomedical research, especially when studying multifactorial diseases such as cancer or atherosclerosis. The reporting of population differences in clinical research is characterized by large disparities in practices, and fraught with methodological issues and inconsistencies. The actual designations such as "Black" or "Asian" refer to broad and heterogeneous groups, with a great discrepancy among countries. Moreover, the use of obsolete concepts such as "Caucasian" is unfortunate and imprecise. The use of adequate labeling to reflect the scientific hypothesis needs to be promoted. Furthermore, the use of "race/ethnicity" as a unique cause of human heterogeneity may distract from investigating other factors related to a medical condition, particularly if this label is employed as a proxy for cultural habits, diet, or environmental exposure. In addition, the wide range of opinions among researchers does not facilitate the attempts made for resolving this heterogeneity in labeling. "Race," "ethnicity," "ancestry," "geographical origin," and other similar concepts are saturated with meanings. Even if the feasibility of a global consensus on labeling seems difficult, geneticists, sociologists, anthropologists, and ethicists should help develop policies and practices for the biomedical field.

Towards the multileveled and processual conceptualisation of racialised individuals in biomedical research

In this paper, we discuss the processes of racialisation on the example of biomedical research. We argue that applying the concept of racialisation in biomedical research can be much more precise, informative and suitable than currently used categories, such as race and ethnicity. For this purpose, we construct a model of the different processes affecting and co-shaping the racialisation of an individual, and consider these in relation to biomedical research, particularly to studies on hypertension. We finish with a discussion on the potential application of our proposition to institutional guidelines on the use of racial categories in biomedical research.

Feasibility of an Assessment Tool as a Data-Driven Approach to Reducing Racial Bias in Biomedical Publications

The editorial independence of biomedical journals allows flexibility to meet a wide range of research interests. However, it also is a barrier for coordination between journals to solve challenging issues such as racial bias in the scientific literature. A standardized tool to screen for racial bias could prevent the publication of racially biased papers. Biomedical journals would maintain editorial autonomy while still allowing comparable data to be collected and analyzed across journals. A racially diverse research team carried out a three-phase study to generate and test a racial bias assessment tool for biomedical research. Phase 1, an in-depth, structured literature search to identify recommendations, found near complete agreement in the literature on addressing race in biomedical research. Phase 2, construction of a framework from those recommendations, provides the major innovation of this paper. The framework includes three dimensions of race: 1) context, 2) tone and terminology, and 3) analysis, which are the basis for the Race Equity Vetting Instrument for Editorial Workflow (REVIEW) tool. Phase 3, pilot testing the assessment tool, showed that the REVIEW tool was effective at flagging multiple concerns in widely criticized articles. This study demonstrates the feasibility of the proposed REVIEW tool to reduce racial bias in research. Next steps include testing this tool on a broader sample of biomedical research to determine how the tool performs on more subtle examples of racial bias.

Direct-to-Consumer Genetic Testing's Red Herring: "Genetic Ancestry" and Personalized Medicine

The growth in the direct-to-consumer genetic testing industry poses a number of challenges for healthcare practice, among a number of other areas of concern. Several companies providing this service send their customers reports including information variously referred to as genetic ethnicity, genetic heritage, biogeographic ancestry, and genetic ancestry. In this article, we argue that such information should not be used in healthcare consultations or to assess health risks. Far from representing a move toward personalized medicine, use of this information poses risks both to patients as individuals and to racialized ethnic groups because of the way it misrepresents human genetic diversity.

The Impact of Being a Migrant from a Non-English-Speaking Country on Healthcare Outcomes in Frail Older Inpatients: an Australian Study

The purpose of this prospective study of 2180 consecutive index admissions to an acute geriatric service was to compare in-hospital outcomes of frail older inpatients born in non-English-speaking counties, referred to as culturally and linguistically diverse (CALD) countries in Australia, with those born in English-speaking countries. Multivariate logistic regression was used to model in-hospital mortality and new nursing home placement. Multivariate Cox proportional hazards regression was used to model length of stay. The mean age of all patients was 83 years and 93% were admitted through the emergency department. In multivariate analyses, patients from CALD and non-CALD backgrounds were equally likely to die (CALD odds ratio [OR] 0.69, 95% confidence interval [95% CI] 0.44-1.10) and be newly placed in a nursing home (OR 0.75, 95% CI 0.51-1.12). Patients from CALD backgrounds unable to speak English were more likely to die (11.5% vs. 7.2%, p = 0.02). While patients from CALD backgrounds had significantly shorter lengths of stay in univariate analysis (median 9 days vs. 10 days, p = 0.02), this was not apparent in multivariate analysis (hazard ratio 1.02, 95% CI 0.91-1.14), where the ability to speak English proved to be a strong confounder. While most of the literature shows poorer outcomes of people from minority ethnic groups, our findings indicate that this is not necessarily the case. Developing culturally appropriate services may mitigate some of the adverse outcomes commonly associated with ethnicity. Our findings are particularly relevant to countries populated by multiple ethnic groups.

Biocultural citizenship and embodying exceptionalism: Biopolitics for sickle cell disease in Brazil

In 2006, the committee that developed the National Health Policy for the Black Population (NHPBP) chose sickle cell disease as their "flag to demand health rights." The drafting of this policy was official recognition from the Ministry of Health for racial differences of its citizens in order to address certain inequalities in the form of racial health reparations. Through an ethnographic study which consisted of participant observation, life-story and semi-structured interviews, and surveys in the urban centers of Rio de Janeiro, São Paulo, Salvador, Belo Horizonte, and Brasília between November 2013 and November 2014, I introduce a new conceptual approach called biocultural citizenship. It is a flexible mode of enacting belonging that varies depending on disease status, skin color, social class, recognition of African lineage, and other identifiers. Using empirical evidence, this article explores how people living with sickle cell disease (SCD), civil society, and the Brazilian government-at state and federal levels-have contributed to the discourse on SCD as a "black" disease, despite a prevailing cultural ideology of racial mixture. Specifically, I demonstrate that the SCD movement strategically uses Blackness to make claims for health rights. Biocultural citizenship is dependent on the idea of biological and cultural difference that is coproduced by the State and Afro-Brazilian citizens. The use of biology to help legitimate cultural claims, especially in the Black Atlantic, contributes a new and distinct way to think about how race and skin color are used as tools of agency for diasporic communities.

Epidemiological placism in public health emergencies: Ebola in two Dallas neighborhoods

Super-diverse cities face distinctive challenges during infectious disease outbreaks. For refugee and immigrant groups from epidemic source locations, identities of place blend with epidemiological logics in convoluted ways during these crises. This research investigated the relationships of place and stigma during the Dallas Ebola crisis. Ethnographic results illustrate how Africanness, more than neighborhood stigma, informed Dallas residents' experience of stigma. The problems of place-based stigma, the imprecision of epidemiological placism, and the cohesion of stigma to semiotically powerful levels of place - rather than to realistic risk categories - are discussed. Taking its authority from epidemiology, placism is an important source of potential stigma with critical implications for the success of public health messaging.

A reconsideration of the role of self-identified races in epidemiology and biomedical research

A considerable number of studies in epidemiology and biomedicine investigate the etiology of complex diseases by considering (self-identified) race as a relevant variable and focusing on the differences in risk among racial groups in the United States; they extensively draw on a genetic hypothesis--viz. the hypothesis that differences in the risk of complex diseases among racial groups are largely due to genetic differences covarying with genetic ancestry--that appears highly problematic in the light of both current biological evidence and the theory of human genome evolution. Is this reason for dismissing self-identified races? No. An alternative promising use of self-identified races exists, and ironically is suggested by those studies that investigate the etiology of complex diseases without focusing on racial differences. These studies provide a large amount of empirical evidence supporting the primacy of the contribution of non-genetic as opposed to genetic factors to the risk of complex diseases. We show that differences in race--or, better, in racial self-identification--may be critically used as proxies for differences in risk-related exposomes and epigenomes in the context of the United States. Self-identified race is what we need to capture the complexity of the effects of present and past racism on people's health and investigate risk-related external and internal exposures, gene-environment interactions, and epigenetic events. In fact patterns of racial self-identifications on one side, and patterns of risk-related exposomes and epigenomes on the other side, constantly coevolve and tend to match each other. However, there is no guarantee that using self-identified races in epidemiology and biomedical research will be beneficial all things considered: special attention must be paid at balancing positive and negative consequences.

Expanding the gerontological imagination on ethnicity: conceptual and theoretical perspectives

The globalisation of international migration has increased the ethnic diversity of most ageing populations across the Western world. This has implications for gerontological research, policy and practice, and puts our understandings of ethnicity to the test. This paper presents the different perspectives that inform ethnicity scholarship (the essentialist/primordial perspective, the structuralist/circumstantialist perspective and social constructionism) and suggests that the way in which we regard ethnicity has implications for how gerontological research is designed, how policies for old age are formulated and how gerontological practice is shaped. Through a review of contemporary gerontological research on ethnicity published in some of gerontology's main journals, the paper discusses some of the trends observed and concludes that most research seems to be informed by essentialism and structuralism. This suggests that the gerontological imagination on ethnicity has yet to be informed by the latest developments in ethnicity scholarship. The paper therefore urges gerontologists to broaden their understanding of ethnicity and suggests that much could be gained if we were to let the social constructionist perspective on ethnicity and the notion of intersectionality be sources of inspiration for the gerontological imagination on ethnicity.

Cultural competence education for health professionals

BACKGROUND

Cultural competence education for health professionals aims to ensure all people receive equitable, effective health care, particularly those from culturally and linguistically diverse (CALD) backgrounds. It has emerged as a strategy in high-income English-speaking countries in response to evidence of health disparities, structural inequalities, and poorer quality health care and outcomes among people from minority CALD backgrounds. However there is a paucity of evidence to link cultural competence education with patient, professional and organisational outcomes. To assess efficacy, for this review we developed a four-dimensional conceptual framework comprising educational content, pedagogical approach, structure of the intervention, and participant characteristics to provide consistency in describing and assessing interventions. We use the term 'CALD participants' when referring to minority CALD populations as a whole. When referring to participants in included studies we describe them in terms used by study authors.

OBJECTIVES

To assess the effects of cultural competence education interventions for health professionals on patient-related outcomes, health professional outcomes, and healthcare organisation outcomes.

SEARCH METHODS

We searched: MEDLINE (OvidSP) (1946 to June 2012); Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library) (June 2012); EMBASE (OvidSP) (1988 to June 2012); CINAHL (EbscoHOST) (1981 to June 2012); PsycINFO (OvidSP) (1806 to June 2012); Proquest Dissertations and Theses database (1861 to October 2011); ERIC (CSA) (1966 to October 2011); LILACS (1982 to March 2012); and Current Contents (OvidSP) (1993 Week 27 to June 2012).Searches in MEDLINE, CENTRAL, PsycINFO, EMBASE, Proquest Dissertations and Theses, ERIC and Current Contents were updated in February 2014. Searches in CINAHL were updated in March 2014.There were no language restrictions.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), cluster RCTs, and controlled clinical trials of educational interventions for health professionals working in health settings that aimed to improve: health outcomes of patients/consumers of minority cultural and linguistic backgrounds; knowledge, skills and attitudes of health professionals in delivering culturally competent care; and healthcare organisation performance in culturally competent care.

DATA COLLECTION AND ANALYSIS

We used the conceptual framework as the basis for data extraction. Two review authors independently extracted data on interventions, methods, and outcome measures and mapped them against the framework. Additional information was sought from study authors. We present results in narrative and tabular form.

MAIN RESULTS

We included five RCTs involving 337 healthcare professionals and 8400 patients; at least 3463 (41%) were from CALD backgrounds. Trials compared the effects of cultural competence training for health professionals, with no training. Three studies were from the USA, one from Canada and one from The Netherlands. They involved health professionals of diverse backgrounds, although most were not from CALD minorities. Cultural background was determined using a validated scale (one study), self-report (two studies) or not reported (two studies). The design effect from clustering meant an effective minimum sample size of 3164 CALD participants. No meta-analyses were performed. The quality of evidence for each outcome was judged to be low.Two trials comparing cultural competence training with no training found no evidence of effect for treatment outcomes, including the proportion of patients with diabetes achieving LDL cholesterol control targets (risk difference (RD) -0.02, 95% CI -0.06 to 0.02; 1 study, USA, 2699 "black" patients, moderate quality), or change in weight loss (standardised mean difference (SMD) 0.07, 95% CI -0.41 to 0.55, 1 study, USA, effective sample size (ESS) 68 patients, low quality).Health behaviour (client concordance with attendance) improved significantly among intervention participants compared with controls (relative risk (RR) 1.53, 95% CI 1.03 to 2.27, 1 study, USA, ESS 28 women, low quality). Involvement in care by "non-Western" patients (described as "mainly Turkish, Moroccan, Cape Verdean and Surinamese patients") with largely "Western" doctors improved in terms of mutual understanding (SMD 0.21, 95% CI 0.00 to 0.42, 1 study, The Netherlands, 109 patients, low quality). Evaluations of care were mixed (three studies). Two studies found no evidence of effect in: proportion of patients reporting satisfaction with consultations (RD 0.14, 95% CI -0.03 to 0.31, 1 study, The Netherlands, 109 patients, low quality); patient scores of physician cultural competency (SMD 0.11 95% CI -0.63 to 0.85, 1 study, USA, ESS 68 "Caucasian" and "non-Causcasian" patients (described as Latino, African American, Asian and other, low quality). Client perceptions of health professionals were significantly higher in the intervention group (SMD 1.60 95% CI 1.05 to 2.15, 1 study, USA, ESS 28 "Black" women, low quality).No study assessed adverse outcomes.There was no evidence of effect on clinician awareness of "racial" differences in quality of care among clients at a USA health centre (RR 1.37, 95% CI 0.97 to 1.94. P = 0.07) with no adjustment for clustering. Included studies did not measure other outcomes of interest. Sensitivity analyses using different values for the Intra-cluster coefficient (ICC) did not substantially alter the magnitude or significance of summary effect sizes.All four domains of the conceptual framework were addressed, suggesting agreement on core components of cultural competence education interventions may be possible.

AUTHORS' CONCLUSIONS

Cultural competence continues to be developed as a major strategy to address health inequities. Five studies assessed the effects of cultural competence education for health professionals on patient-related outcomes. There was positive, albeit low-quality evidence, showing improvements in the involvement of CALD patients. Findings either showed support for the educational interventions or no evidence of effect. No studies assessed adverse outcomes. The quality of evidence is insufficient to draw generalisable conclusions, largely due to heterogeneity of the interventions in content, scope, design, duration, implementation and outcomes selected.Further research is required to establish greater methodological rigour and uniformity on core components of education interventions, including how they are described and evaluated. Our conceptual framework provides a basis for establishing consensus to improve reporting and allow assessment across studies and populations. Future studies should measure the patient outcomes used: treatment outcomes; health behaviours; involvement in care and evaluations of care. Studies should also measure the impact of these types of interventions on healthcare organisations, as these are likely to affect uptake and sustainability.

Which Sámi? Sámi inclusion criteria in population-based studies of Sámi health and living conditions in Norway - an exploratory study exemplified with data from the SAMINOR study

BACKGROUND

In a situation where national censuses do not record information on ethnicity, studies of the indigenous Sámi people's health and living conditions tend to use varying Sámi inclusion criteria and categorizations. Consequently, the basis on which Sámi study participants are included and categorized when Sámi health and living conditions are explored and compared differs. This may influence the results and conclusions drawn.

OBJECTIVE

To explore some numerical consequences of applying principles derived from Norway's Sámi Act as a foundation for formalized inclusion criteria in population-based Sámi studies in Norway.

DESIGN

We established 1 geographically based (G1) and 3 individual-based Sámi example populations (I1-I3) by applying diverse Sámi inclusion criteria to data from 17 rural municipalities in Norway north of the Arctic Circle. The data were collected for a population-based study of health and living conditions in 2003-2004 (the SAMINOR study). Our sample consisted of 14,797 participants aged 36-79 years.

RESULTS

The size of the individual-based populations varied significantly. I1 (linguistic connection Sámi) made up 35.5% of the sample, I2 (self-identified Sámi) made up 21.0% and I3 (active language Sámi) 17.7%. They were also noticeably unevenly distributed between the 5 Sámi regions defined for this study. The differences for the other characteristics studied were more ambiguous. For the population G1 (residents in the Sámi language area) the only significant difference found between the Sámi and the corresponding non-Sámi population was for household income (OR=0.69, 95% CI: 0.63-0.74). For the populations I1-I3 there were significant differences on all measures except for I2 and education (OR=1.09, 95% CI: 0.99-1.21).

CONCLUSIONS

The choice of Sámi inclusion criterion had a clear impact on the size and geographical distribution of the defined populations but lesser influence on the selected characteristics for the Sámi populations relative to the respective non-Sámi ones.