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Racism against healthcare users in inpatient care: a scoping review

Abstract

Background

Racism in the healthcare system has become a burgeoning focus in health policy-making and research. Existing research has shown both interpersonal and structural forms of racism limiting access to quality healthcare for racialised healthcare users. Nevertheless, little is known about the specifics of racism in the inpatient sector, specifically hospitals and rehabilitation facilities. The aim of this scoping review is therefore to map the evidence on racial discrimination experienced by people receiving treatment in inpatient settings (hospitals and rehabilitation facilities) or their caregivers in high-income countries, focusing specifically on whether intersectional axes of discrimination have been taken into account when describing these experiences.

Methods

Based on the conceptual framework developed by Arksey and O’Malley, this scoping review surveyed existing research on racism and racial discrimination in inpatient care in high-income countries published between 2013 and 2023. The software Rayyan was used to support the screening process while MAXQDA was used for thematic coding.

Results

Forty-seven articles were included in this review. Specifics of the inpatient sector included different hospitalisation, admission and referral rates within and across hospitals; the threat of racial discrimination from other healthcare users; and the spatial segregation of healthcare users according to ethnic, religious or racialised criteria. While most articles described some interactions between race and other social categories in the sample composition, the framework of intersectionality was rarely considered explicitly during analysis.

Discussion

While the USA continue to predominate in discussions, other high-income countries including Canada, Australia and the UK also examine racism in their own healthcare systems. Absent from the literature are studies from a wider range of European countries as well as of racialised and disadvantaged groups other than refugees or recent immigrants. Research in this area would also benefit from an engagement with approaches to intersectionality in public health to produce a more nuanced understanding of the interactions of racism with other axes of discrimination. As inpatient care exhibits a range of specific structures, future research and policy-making ought to consider these specifics to develop targeted interventions, including training for non-clinical staff and robust, transparent and accessible complaint procedures.

Background

Racism has long been recognised as a social determinant of health [1, 2]. In addition to the different health effects of racial discrimination, a burgeoning focus in health policy-making and research has been the impact of racism in the healthcare system. Existing evidence has demonstrated the extent to which racialised healthcare users, and often staff, are exposed to racism in healthcare-related encounters [3, 4]. Two primary manifestations of racism in healthcare have consistently been identified: implicit bias in interpersonal encounters between healthcare providers and users, and structural forms of discrimination.

Implicit bias by healthcare providers, especially physicians [5,6,7] has been found to be pervasive. A study from the USA, for instance, found that the racist assumptions of African Americans’ higher threshold for pain has led to their systematic undertreatment [8]. Similarly, a study of ethnic and racial discrimination among US veterans with pain identified a high level of dissatisfaction with regard to interactions with staff for Latinx patients, and with negative demeanour of staff for African American patients [9]. Implicit bias can also lead to differential treatment and diagnoses. For example, African Americans in forensic psychiatric hospitals are disproportionately more often diagnosed with highly stigmatised psychotic spectrum disorders as compared to white Americans [10].

Discrimination can have detrimental effects on patients’ decision-making capabilities and their trust towards physicians [9, 11]. It can negatively shape the doctor-patient relationship and patients’ satisfaction with healthcare delivery [11], which may in turn impact patients’ adherence to and engagement with treatment and thus ultimately exacerbate health inequities [11]. Indeed, a review of the perspectives of health professionals and patients on racism in healthcare has confirmed that implicit bias can lead to the further alienation of minoritised individuals from the public healthcare system as a whole [4]. This is especially the case as healthcare provider bias is often not acknowledged [12].

At the same time, existing research has found structural barriers to accessing care. A particular focus has been on barriers due to limited language skills [13,14,15]. For instance, a study from the US context [16] examined the use of evidence-based healthcare services for chronic disease management by both Latinx and white patients. They found that white patients were more likely than Latinxs to access the recommended services for which they were eligible; however, when grouping study participants by language use, they found that English-speaking Latinxs were not significantly less likely to access those services. This was in stark contrast to those Latinx patients who spoke Spanish at home and were least likely to access the recommended services even after accounting for possible confounding variables. A similar study from the German context [14] determined that the lack of interpreters and the dearth of multilingual information constitutes a form of institutional or structural racism which can negatively affect patients’ communication, diagnostic procedures and treatment options. This can ultimately lead to the systematic disadvantage of migrants and their descendants, minimising their chances for access to and use of health-related services [17]. While this knowledge is crucial to addressing existing inequities, a limitation of existing research is that the focus is predominantly on recent immigrants and their families, equating racism with xenophobia and migration, and leaving unaddressed the multiple and interlocking forms of discrimination which are independent of citizenship and settlement status. Indeed, the focus on linguistic barriers, while important, misses the fact that racialised people experience racism independent of their linguistic capabilities, mother tongue or migration status.

A range of reviews and meta-analyses have been conducted to examine the nature and scope of racial discrimination in the healthcare system. While some have focused on specific aspects, for example implicit bias [5, 6, 18], anti-racist interventions [19] or public health understandings of structural racism [20], others have been more comprehensive [3]. These reviews have substantially contributed to the understanding of how racism operates in healthcare interactions, and the forms it can take. However, three dimensions appear to have only been marginally addressed.

First, most existing research has focused on outpatient services or has not been specific about the examined setting. This might be due to the overriding focus on implicit racial biases and their effects on the doctor-patient relationship, which is applicable across settings. However, we believe it is crucial to study the inpatient setting in more detail. This is, first, because there is mounting evidence that the work-related stress associated with inpatient care may fuel the stereotyping of patients and amplify discrimination [21]. Second, patients treated in inpatient settings might have different disease profiles and adhere to different treatment regimens, which might create diverging discriminatory practices and structures. Not least, the experiences of racism might differ in inpatient, enclosed settings where the option of leaving and choosing another provider might simply not exist. As such, it is critical to develop a deeper and more comprehensive understanding of how racism pans out in inpatient care, and the characteristics of this setting that are amenable to, or even fuel, discrimination.

Second, the majority of existing research has examined the US context, especially discrimination against African Americans. This may well be due to the country’s history of transatlantic enslavement and racial violence [22], persistent anti-Black racism [23] as well as the size and scope of anti-racist scholarship across disciplines in the US. Not least, it may be the result of the availability of data segregated by racial/ethnic groups as mandated by the National Institutes of Health for clinical research [24]. However, the focus on the unique dynamics and historical context of the US encapsulates only a small part of how racism may manifest across different cultural and national contexts.

Third, we found that few existing reviews have thoroughly engaged with how intersectional perspectives have been adopted in the studies they analysed (e.g. [3]), or examined how the entanglements of race with other social categories such as gender or socio-economic status affect the experience of racism in healthcare. This, however, is crucial, as it has long been known that the intersections of multiple axes of discrimination not only produce layered but also unique experiences and health inequities [25, 26]. For example, it has been found that Black women have a higher risk of poor cardiovascular health compared to both Black men and white women [27]. This health outcome would have remained invisible using a single-category approach focusing either on race or on gender. As such, we aim to assess specifically how experiences of racism in interaction with sexism and other axes of discrimination have been described in the literature on racism in inpatient care.

The aim of this scoping review is therefore to map the evidence on racial discrimination experienced by people receiving treatment in inpatient settings (hospitals and rehabilitation facilities) or their caregivers in high-income countries, defined as having a gross national income per capita of $12,736 or more using the World Bank Atlas method [28]. Most high-income countries share colonial histories on which their wealth has been built such that their modern-day societies are shot through with racist, racialised and racialising structures and imaginaries [22, 29]. Naturally, they also significantly differ in terms of their precise historical trajectories and present-day effects, especially between former settler colonial states and other forms of colonial domination [30]. Sometimes postcolonial states or societies also have closer ties and more similarities with their former colonisers than former colonisers with each other, for instance a common cultural heritage, linguistic practices and political models [31, 32]. The exclusive focus on high-income countries is therefore somewhat arbitrary but borne of the need for feasibility. We thereby address specifically whether intersectional axes of discrimination have been taken into account, and, if yes, how so, when describing such experiences of racism. The results of this review will be utilised further to develop data collection instruments (surveys, topic guides for qualitative interviews) on experiences of racism in the German healthcare system.

This scoping review is part of a larger research project that sets out to empirically investigate experiences, situations, and interpretations of racism and racial discrimination in healthcare institutions in Germany, specifically in the inpatient sector. The project builds on the theoretical conceptualisations of everyday racism following Essed [33] and Terkessidis [34, 35]. Everyday racism is the often subtle but pervasive form of racism encountered by racialised people in routine everyday life. Essed thereby distinguishes between macro or structural-cultural properties of racism, and more interactional or interpersonal forms, which she refers to as “micro-inequities perpetuating the system” (1991: 38). The macro properties of racism encompass the racism engrained in government agencies, businesses and organisations responsible for legislation and policy-making; its effects can therefore be seen in labour policy, healthcare, education, or housing [33]. An example from the healthcare context might be the structurally entrenched lack of interpreters and multilingual and culturally appropriate information [14, 36] or the unequal spatial distribution of health services [37]. White-Means and Muruako (2023), for instance, found that metropolitan areas with a majority of spatially segregated, low-income and Black households are more likely to have disparities in access to primary breast cancer care than middle-income Black neighbourhoods or middle-income white neighbourhoods [37]. Examples of the everyday perpetuation of racism through individual practices include the implicit racial bias by healthcare providers [6], often leading to mistrust by people having experienced unequal treatment as a result of such bias [38]. However, Essed aptly stresses that such forms of racism are not the result of individual bias but rather the ways in which “the system is continually construed in everyday life” (1991: 38). In this context, it is worth pointing out that the explicit use of the terms race and racism are relatively rare in Europe as compared to the US. Many European countries use the euphemisms ‘ethnicity’ or ‘migration background’, themselves the result of colonial histories and racist labour policies [39], when describing racialised groups and the discrimination they experience. While such designations may not use purely biological but often cultural markers, they have become racialised as they are often regarded as unitary groups based on shared cultural traits [40]. As such, using analytical approaches focusing on race and racism is highly productive.

In addition, in this review we draw on intersectionality scholarship, which focuses on the intersectional effects of multiple forms of discrimination and regimes of power [41]. The concept of intersectionality has become increasingly popular in public health as it provides a lens to identify the unique and complex health inequities faced by groups at multiple axes of discrimination [42, 43]. An intersectional approach thus allows not only for a more detailed understanding of health inequities, but also for the development of more targeted public health interventions to reduce these.

Methods

Framework

This review used the conceptual framework developed by Arksey and O’Malley [44] to guide its methodology. This framework consists of the following five stages: (1) identifying the research question; (2) identifying relevant studies; (3) study selection; (4) charting the data; and (5) collating, summarising, and reporting the results. The study protocol has been registered on Open Science Frameworks (https://osf.io/xaz2s).

Stage 1: identifying the research question

The aim of this scoping review was to map the evidence on racial discrimination by people receiving treatment in inpatient settings (hospitals and rehabilitation facilities) or their caregivers in high-income countries. In particular, we aimed to assess whether, and if so how, intersectional axes of discrimination had been taken into account when describing these experiences. This interest stems from our earlier work in migration studies, analysing the health needs of migrant communities, as well as intersectional and diversity-sensitive health interventions [45,46,47]. Not least, as some of us have experienced structural or interpersonal racism first hand or witnessed such racism against family members, while others are allies, we aimed to develop these research foci further by explicitly focusing on racism rather than cultural or diversity sensitivity.

The review was thus guided by the following research questions: What is known from the existing literature about the experiences of racism by healthcare users and their caregivers in inpatient healthcare settings (hospitals and rehabilitation facilities) in high-income countries? Have intersectional perspectives been considered when describing these and if so, how?

Stage 2: identifying relevant studies

A detailed search strategy that involved identifying evidence through electronic databases, reference lists and grey literature was developed (see Fig. 1). The search was limited to publications between 2013 and 2023; this was deemed most suitable for identifying the most current and relevant data.

Fig. 1
figure 1

From: Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. doi: 10.1136/bmj.n71. For more information, visit: http://www.prisma-statement.org/

Electronic databases

We first searched relevant databases including Medline, PubMed, CINAHL, Livivo, PsycInfo and Web of Science based on the following inclusion criteria: publication date between 2013 and 2023; studies conducted in a high-income country using the World Bank Atlas method; and studies focusing on the experiences of healthcare users or their caregivers rather than professionals in inpatient care (hospitals or rehabilitation facilities). Papers presenting findings from original research with all study designs as well as reviews and meta-analyses were considered in both English and German. Comments, editorials and letters were excluded.

The following search string was developed for the PubMed database and later on adapted for each subsequent database, screening titles/abstracts:

Search string: (Racism*) OR (racial discrimination) OR (race-based discrimination) OR (ethnic discrimination) OR (racial bias*) OR (racial stereotyp*) AND (healthcare) AND (clinic OR hospital* OR rehabilitation) AND (health work* OR profession* OR patient* OR family caregiver).

The database search was conducted by SM and regularly discussed with HY, AH and HTG. The identification of relevant studies was completed by 30 July 2023.

Reference lists

In addition to the electronic databases, we searched the reference lists of all identified articles for further relevant studies that met our inclusion criteria. This step was crucial to ensure we did not neglect any relevant literature.

Grey literature

Google Search and Google Scholar were used additionally in order to identify grey literature such as research reports, working papers, government documents or unpublished dissertations. While Google Scholar might have significant shortcomings for systematic reviews which limits its utility as a professional research tool [48, 49], it can be beneficial for the identification of grey literature [50]. We applied the same inclusion criteria as we did for the electronic database and reference list searches.

Stage 3: study selection

All articles identified through the electronic database, reference lists and grey literature search that met our inclusion criteria were imported into Rayyan, an artificial intelligence-powered software developed to facilitate scientific reviews. Duplicates were deleted automatically or manually by SM where necessary. Title and abstract screening were conducted independently by SM and TA using Rayyan to avoid bias. All papers that met the inclusion criteria were stored separately in Rayyan for subsequent full-text screening. Any discrepancies between reviewers were resolved by consensus. Those papers who met the inclusion criteria underwent a secondary screening based on full texts by SM and TA with the support of HY, AH and JF.

Stage 4: charting the data

Two researchers, SM and TA, independently extracted the data from the included studies into a Microsoft Word-based table. This involved a process of synthesising and sorting the studies according to their key characteristics (authors, source country, year of publication, publication type, theoretical approach, study design and methodology, aim of the study, important results and specifics of the inpatient setting). In a second step, any intersections of racism with other axes of discrimination addressed in the articles were also extracted.

Stage 5: collating, summarising and reporting results

All results in tabular form as well as full-texts were uploaded into the software MAXQDA, developed for computer-assisted qualitative data analysis. All studies were read multiple times and key characteristics and themes were subsequently coded deductively and inductively using a thematic coding framework [51]. Coding aimed to capture both central characteristics as well as to map the specifics of racism in inpatient care and with respect to how intersectionality has been addressed by the included studies. Thematic codes required multiple rounds of refining and abstracting.

Findings

An overview of the studies included in this review is provided in Table 1.

Table 1 Characteristics of included studies

Descriptive findings

Overall, we included 47 articles for analysis (see Table 1). Thirty-five were identified through the electronic database search, and 12 through Google, Google Scholar and by a manual screening of the reference lists of included studies. Eighteen articles (38%) were published before 2020 while 29 (62%) were published in or after 2020. Their countries of origin can be found in Table 2.

Table 2 Countries of origin

Articles from the US context analysed the experiences of Black or Latinx healthcare users or of people of colour in general, though racial classifications were not used consistently [38, 52,53,54, 56, 57, 59, 63, 64, 66, 67, 69,70,71, 73,74,75,76, 78,79,80,81,82,83,84,85, 87, 91, 92, 94]. One study examined the experiences of American Indian children [80]. Articles from the Australian, New Zealand/Aoteroa and Canadian contexts analysed the experiences of and barriers faced by indigenous groups, i.e. Māori, indigenous Australians and First Nations respectively [55, 62, 72, 77, 86, 88,89,90]. One study from Europe analysed the experiences of Romani women across national contexts [93], while the only German study we found focused on migrants and refugees [68]. The single article we identified from Israel focused on religious/ethnic tensions between Jewish and Arab Israelis [61]. The majority of the articles focused on the hospital setting, either exclusively or as part of an analysis of the overall healthcare system. One article used the hospital system to compare out-of-hospital experiences in a birthing centre [64]. No articles analysed a rehabilitation setting or explicitly addressed the experiences of (racialised) caregivers though one [53] considered their perspectives.

Research on reproductive services predominantly examined the overall experiences of maternity care by people of colour [69, 94], especially those at risk of pre-term birth [83], as well as Romani women [93]. Other articles analysed disparities in birth outcomes among women of colour with intellectual and developmental disabilities [52], infant mortality [54], birth satisfaction during COVID-19 [74] and breastfeeding practices in a baby-friendly hospital [56]. Various articles focused on racial discrimination during childbirth [59, 64, 76, 78], leading some women to choose an out-of-hospital, community-based birth for their subsequent births [64]. Studies from the field of paediatrics varied in focus; one study examined the effects of perceived racial discrimination on caregiver-provider interactions in a sickle cell disease centre by both staff and carers [53]; others analysed the hospital outcomes of racialised children with severe sepsis in the US [73] as well as decisions for early discharge and for leaving the emergency department without complete evaluation and treatment (LWCET) [80]. In emergency care, included articles analysed people’s experiences with emergency ward visits more broadly [72] as well as the reasons for the decision to leave the emergency ward without complete treatment [80]. Others examined disparities in hospitalisation for racialised healthcare users presenting to the emergency ward with heart failure [81] and the relationship between racial disparities in emergency ward wait times and illness severity [82]. The one study examining intensive care was a review investigating racial disparities in intensive care unit (ICU) outcomes overall [92]. Studies examining the hospital system overall predominantly focused on ethnic inequalities in hospital admissions [58], discrimination during hospital stays [68] and overall interactions between hospital staff and racialised groups [89]. Studies examining mental health focused exclusively on forensic psychiatry [60, 65].

Thematic findings

Conceptual approaches

Four main thematic or conceptual approaches related to healthcare users’ experiences with (racial) discrimination have been used in the articles we identified. First, some articles studied the experiences of specific racialised populations in interaction with the healthcare system, sometimes using a phenomenological or life course approach. Graham et al. [89] and Espiner et al. [88], for instance, have examined the overall experiences of Māori in the New Zealand/Aotearoa public health system, including barriers in accessing care. In another instance, Roder-DeWan et al. [69] sought to understand what high-quality maternity care means to women of colour in Boston. Here, racism was one of a plethora of experiences that minoritised healthcare users faced when using healthcare services. Second, most quantitative studies used a disparities approach that described existing racial disparities, for instance in breastfeeding practices [56], gunshot victims [57] or ICU outcomes [92] but did not engage more deeply with the structural origins of these disparities. This is in line with other studies revealing that racial health disparities literature rarely embeds race and racism in their social and historical contexts to explain relational aspects of racial inequity [95]. Third, while all articles suggested, albeit sometimes vaguely, racism to be a key driver of existing disparities, only some studies have explicitly focused on racism or racial discrimination as their main object of investigation. For example, Janevic et al. [59], Sperlich and Gabriel [64], Attanasio et al. [76] and Vedam et al. [78] have all analysed perceived racial discrimination during childbirth, whereas Phillips-Beck et al. [77] have examined the systemic racism and exclusion of First Nations from quality healthcare in Canada. A fourth approached evolved around concepts of cultural competency and safety, for example in emergency wards in Canada [72, 86]. Racism did play a role as one of the drivers of adverse experiences but the conceptual framework of these articles was derived from studies around cultural competency.

Specifics of racism in inpatient care

While all articles discussed encounters of racism in the healthcare system, some stressed how racism manifests and operates specifically in an inpatient setting, and what effects these specifics of the inpatient setting have on the care available to racialised healthcare users.

Overall, racialised groups were reported to have lower hospitalisation, admission and referral rates within and across hospitals than non-racialised groups. For instance, Lo et al. [81] found that among all non-ICU admissions, Black patients were less likely to be hospitalised than white patients when aged 65+ and needing care more acutely. Black patients with sepsis in an ICU who were mechanically ventilated were also found to be less likely to be transferred to a higher level of care [92]. Similar findings have led Eberly at al. [79] to argue that lower admission rates for racialised patients with heart failure are a key intra-hospital driver of racial inequity. Racialised patients have also been reported to have longer wait times to admission or referral. Qiao et al. [82] found that, on average, Black patients in the US have significantly longer mean wait times in the emergency ward than white patients, and this increased as illness severity decreased. No racial disparities in wait times were found for critically ill patients though. However, one article found that Black and Latinx children with severe sepsis had longer hospital stays than white children; when death was accounted for as a competing risk, Black as well as Latinx children had a markedly reduced probability to be discharged from hospital alive by day 30 [73]. This correlates with the overall higher mortality rate for Black children with severe sepsis and is, according to the authors, at least partly attributed to the differences in the quality of care received in hospitals frequented by racial or ethnic minorities, testament to structural racism (ibid).

Another manifestation of racism in acute, inpatient care is the spatial segregation of patients according to ethnic and religious [61] or racialised criteria [93]. Segregation has been reported between Arab and Jewish Israeli patients in an Israeli hospital, predominantly due to Jewish patients’ demands, and nurses’ attempts to prevent unnecessary tensions [61]. The authors note that in some cases this constitutes discrimination against Arab patients. Similarly, Watson et al. 2017 [93] surveyed the widespread evidence of race-based segregation of Romani women on maternity wards across Europe (defined as those countries belonging to the Council of Europe). Not only are Romani patients frequently being separated from white patients, but ‘Romani’ rooms have also been described as being of poorer quality, not being cleaned by hospital staff, lacking heating and containing fewer facilities such as toilets [93]. Hospital staff frequently justified these practices on the basis that it was to protect Romani women from the racism of white women and their families, but the analysis also illustrated healthcare providers’ pervasive bias about Romani women’s lifestyles and behaviour patterns. Some staff also argued that separation was necessary for hygienic reasons or to protect non-Roma white women, demonstrating the extent of racist practices Romani women are exposed to when giving birth in a European hospital.

Last, one study stressed the additional threat of racist abuse by fellow healthcare users in inpatient care [60]. Residents of an inpatient forensic mental health hospital in the UK reported of having been verbally attacked by other residents, leading to a heightened sense of vigilance and the avoidance of communal areas. Bullying and even threats of physical violence were other forms of abuse reported by residents. While not discussed in much detail, threats of discrimination by other healthcare users are also eminent in the attempt to segregate these users along racialised lines [61, 93].

Intersectional dimensions considered

The majority of the articles did not explicitly focus on intersections of race or racism with other social categories such as gender or age. While many described the social stratification of the sample composition, they did not specify how experiences of racism were shaped by these interactions. For instance, Worrall-Carter et al. [62] reported the gender of their respondents but did not examine whether it influences indigenous Australians’ experiences of cardiac care. Social categories used for describing the intersections of race included predominantly gender, socioeconomic status or proxies such as educational attainment (e.g. [61]). Some also analysed race in interaction with insurance status [73], immigration status [59], religion [61], age [79], and intellectual and developmental disabilities [52]. Quantitative studies used social categories such as gender as covariates or adjusted for gender in regression models (e.g. [52]).

Only one qualitative study explicitly used an intersectional framework: Capp et al. [54] examined the intersections of socioeconomic deprivation and racism and how they affect barriers to healthy pregnancies and birth outcomes in Milwaukee through the lens of Black mothers and health professionals. Their analysis illustrated that the entanglements of public apathy, violence and stress, discrimination and mistrust shape the experience of Black women, and especially Black mothers, in the healthcare system. While not drawing explicitly on an intersectional framework, Berg et al. [86], in their review of barriers and facilitators of cultural competency and safety in emergency wards in Canada, have also found that patients expressed fear of discrimination more often when they belonged to more than one marginalised group. For example, indigenous patients who also belonged to lower socio-economic strata and experienced addictions expressed particular concerns about the discriminating practices of healthcare providers.

Effects and coping strategies

A range of effects and coping strategies for these dynamics of racism in the inpatient sector have been described in the literature. In particular, experiences of racism in healthcare have been found to lead to avoidance tactics and withdrawal from the healthcare system. Withdrawal can be the result of racist discrimination by healthcare staff but also by other residents. Joyes et al. [60] found that the threat of racist abuse in a forensic psychiatric institution can lead to the avoidance of group therapy sessions or other community events. This not only minimised bullied healthcare users’ opportunities for social interaction and connectedness but also posed a risk to their mental health.

Racialised healthcare users have been found to actively decline care due to discrimination [76] to the extent that they prematurely discharge from the hospital [55, 80, 83]. Women of colour at risk for preterm birth who felt neglected and offered poorer quality care have been found to independently leave the hospital in search for better quality care elsewhere [83]. American Indian children attending emergency departments have also been found to discharge or leave without complete evaluation and treatment more frequently than white children [80]. Amongst a cohort of paediatric patients in the US Midwest, an overall 1,7% of paediatric visits resulted in leaving without complete evaluation and treatment (LWCET); of those, American Indian children had much higher odds of LWCET than white children. Another study investigating why indigenous Australian patients self-discharge from hospital described a ‘tipping point’, the cumulative impact of unmet needs, which was compounded by experiences of interpersonal and institutional racism [55]. While it is commonly assumed that people who self-discharge do not care about their health, the authors found that the opposite was the case for their study participants: not only was their self-discharge a rational act of reclaiming their personhood and agency but for self-discharging indigenous people, it was also an attempt to prioritise their health and wellbeing.

Those who avoided public hospitals often sought care in more community-based settings such as First Nation Home Care [77] or sought the assistance of community liaison people inside public hospitals [72]. The latter work to improve coordination between community health organisations and hospitals, especially around discharge planning and management.

Discussion

To our knowledge, this is the first scoping review that explored the specifics of racism in inpatient care in several high-income countries, and focused on the consideration and operationalisation of intersectionality. While US-American studies continue to set the terms of discussion, not least due to the general availability of data on race and ethnicity, other high-income countries, including Canada, Australia, New Zealand and the UK, also examine racism in their own healthcare systems. Nationally-specific understandings of racism and priorities vis-à-vis underserved communities are evident in the research; for instance, in Canada, Australia and New Zealand most articles examined the experiences of indigenous communities and their barriers to accessing quality care. For articles from the US, a key concern was the racial disparities between Black and white Americans (as well as, to a lesser extent, Latinx patients), representing the key racialised tensions in the country. In Germany, where racial data is not routinely collected and an awareness of indigenous, non-immigrant racialised groups is only evolving [96], the one article we found focused on the experiences of recent immigrants and refugees.

Absent from the literature were studies from other European countries as well as studies focussing on a wider variety of racialised and disadvantaged groups, especially native born, non-immigrants. The former is surprising as research on racism in healthcare in the Nordic countries such as Sweden [3, 97,98,99] is growing rapidly. However, other European countries also exhibit stark disparities in healthcare access and utilisation between different social groups, and especially between recent immigrants and naturalised citizens [100]. This is testament to the continued “absent presence” of race in Europe [101]. Here, the post-war rejection of race as a scientific category simultaneously rendered the discussion of racism a highly sensitive, and often ignored, endeavour. Instead, research and social policy have predominantly focused on issues around migration and the ‘integration’ of recent immigrants. The most immediate consequence of this paradigm is a lack of evidence on racism, including in healthcare, in Europe more broadly. Moreover, the sparse evidence that does exist is drawn from studies on forced migrants and refugees. Native populations who are also racialised are rarely examined, limiting the knowledge and understanding of nationally-specific dynamics of racism in European healthcare.

In the articles we identified, intersectional dimensions were only considered to a limited extent, though of course this may also be due to the precise search terms used for this review. Research employing similar concepts such as misogynoir (e.g. [102]) or focusing on the discrimination of two-spirit people in healthcare (e.g. [103]) could not be identified. This means that our analysis is limited to those articles that explicitly used an intersectional approach and may have missed important other perspectives. While quantitative studies usually used several variables to adjust for different racial groups, adjustment does not fully comply with an intersectional framework that postulates the unique experiences produced by intersecting axes of oppression in a non-additive way [104,105,106]. Moreover, intersectionality necessitates not only the analysis of intersecting identities but also of processes and structural forms of discrimination in order to understand the macro-level drivers of inequity [107]. Intersectionality scholarship in public health has recently been gaining traction, and a range of new methods and techniques to operationalise an intersectional framework have been developed [104, 108,109,110]. Research examining racism in the healthcare sector would benefit from an engagement with this literature to produce a more detailed and comprehensive understanding of the effects of interactions of racism with other axes of discrimination. This would also allow for more targeted interventions tackling racism in healthcare.

While we identified a range of different articles examining experiences of racism in inpatient care, few of them delved deeper into the specifics of this setting. This may not be surprising as healthcare users may not differentiate between inpatient and outpatient settings when describing their experiences. Our review of the published literature has shown, however, that inpatient settings exhibit a range of specific structures and conditions that produce unique experiences and forms of racism, including varying admission, hospitalisation and referral rates, spatial segregation, and the threat by other healthcare users. As such, future research ought to examine these structures in more detail in order to gain a more comprehensive understanding of how racism operates in the inpatient setting.

This is also imperative in order to eventually develop more embedded and targeted anti-racist interventions for health policy-making and practice. Hassen et al. [19] have suggested six key requirements for any such intervention to be successful: an explicit, shared language of anti-racism; a thorough commitment on the side of the institutional leadership; a multi-level approach that includes policy and organisational interventions; transparency and accountability mechanisms; long-term and meaningful partnerships with racialised communities; and the investment in ongoing and mandatory anti-racist education and training. Based on our review, we suggest two additional, specific interventions for the inpatient care sector, following the tenets of everyday racism encompassing both interactional and structural-cultural forms of racism. First, to counter the implicit bias in non-clinical decision-making over room allocation, wait times and the spatial division of patients, any anti-racist intervention such as training for staff aiming to promote anti-racism must not only be offered to medical and nursing professionals but also include support staff such as receptionists and nursing aides. Any such training should include the critical reflection of how the staff’s own positionalities, including positionalities shaped by privilege, affect their interaction with racialised healthcare users. Targeted to the specific healthcare institution, such trainings can help develop a deeper understanding of different forms of racism prevalent in the respective individuals’ working contexts. Moreover, as limited time and a stressful working environment can accelerate the use of prejudices and stereotypes at all levels, better overall working conditions are crucial to reducing racial discrimination. Second, existing research on racism as experienced by healthcare users has largely focused on staff, clinical and non-clinical, as perpetrators of this racism. However, this review has demonstrated that fellow patients can be another source of experiences of racism leading to the further alienation of racialised healthcare users from the healthcare system and exacerbate health inequities as these users withdraw from therapy or treatment. Future anti-racist interventions must therefore also target the threat of interpersonal racism emanating from a range of actors in the healthcare system beyond the focus on professional staff. A robust and low-threshold complaints structure or ombudsman for discrimination should be structurally anchored at the institutional level, ideally offering multilingual counselling and advice. Such services can provide immediate support, engage in advocacy and point the person concerned towards the next steps. It is important that these services are located on the premises of the hospital or rehabilitation centre, ideally centrally located and easily accessible, as patients treated there may have longer stays and impaired mobility, preventing them from seeking advice elsewhere. To build trust, ensure continuous support and strengthen ties with affected communities, these services should also be linked to existing advocacy and community organizations.

Limitations

Our review was limited to articles in English and German, and only focused on high-income countries. Accounts of racist discrimination in low- and middle-income countries, which may also have produced important evidence on racism in inpatient care, have been excluded to increase the feasibility of this review. Moreover, while we aimed to consider the hospital and rehabilitation sector as an understudied area of healthcare delivery, our review did not actually yield articles analysing the rehabilitation sector. Racism in rehabilitation centres therefore constitutes an important future area of research.

Conclusion

This scoping review has examined the existing literature on racism in inpatient care (hospitals and rehabilitation centres) in high-income countries, with a specific focus on how intersectional dimensions have been taken into consideration. Analysing 47 articles, it identified three main specifics of racism in inpatient care: varying hospitalisation, admission and referral rates; the spatial segregation of healthcare users along racialised criteria, and discrimination by fellow healthcare users. As such, this review has illuminated an understudied phenomenon with important implications not only for future research but also health policy-making and practice.

Intersectional dimensions were rarely taken into account; while the majority of papers provided a demographic description of study samples, only one study used an explicitly intersectional framework focusing not only on the unique effects of intersecting axes of discrimination but also on their structural drivers. Here, too, this review has shown that more in-depth research is needed on the intersectional entanglements of racism in inpatient care.

Availability of data and materials

All data generated or analysed during this study are included in the supplementary information files of this article.

References

  1. World Health Organization. A conceptual framework for action on the social determinants of health [internet]. World Health Organization; 2010. Available from: https://apps.who.int/iris/handle/10665/44489

    Google Scholar 

  2. Paradies Y, Ben J, Denson N, Elias A, Priest N, Pieterse A, et al. Racism as a determinant of health: a systematic review and meta-analysis. PLoS ONE. 2015;10(9):e0138511.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Hamed S, Bradby H, Ahlberg BM, Thapar-Björkert S. Racism in healthcare: a scoping review. BMC Public Health. 2022;22(988):1–22.

    Google Scholar 

  4. Paradies Y, Truong M, Priest N. A systematic review of the extent and measurement of healthcare provider racism. J Gen Intern Med. 2013;29(2):364–87.

    Article  PubMed  PubMed Central  Google Scholar 

  5. FitzGerald C, Hurst S. Implicit bias in healthcare professionals: a systematic review. BMC Medical Ethics. 2017;18(19)

  6. Maina IW, Belton TD, Ginzberg S, Singh A, Johnson TJ. A decade of studying implicit racial/ethnic bias in healthcare providers using the implicit association test. Soc Sci Med. 2018;199:219–29.

    Article  PubMed  Google Scholar 

  7. Dehon E, Weiss N, Jones J, Faulconer W, Hinton E, Sterling S. A systematic review of the impact of physician implicit racial bias on clinical decision making. Acad Emerg Med. 2017;24:895–904.

    Article  PubMed  Google Scholar 

  8. Hoffman KM, Trawalter S, Axt JA, Oliver NM. Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites. Proc Natl Acad Sci USA. 2016;113(16):4296–301.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Hausmann L, Jones A, McInnes SE, Zickmund SL. Identifying healthcare experiences associated with perceptions of racial/ethnic discrimination among veterans with pain: a cross-sectional mixed methods survey. PLoS One. 2020;15(9):e0237650.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Perry BL, Neltner M, Allen. A paradox of bias: racial differences in forensic psychiatric diagnosis and determinations of criminal responsibility. Race Soc Probl. 2013;5:239–49.

    Article  Google Scholar 

  11. Zestcott CA, Blair IV, Stone J. Examining the presence, consequences, and reduction of implicit bias in health care: a narrative review. Group Process Intergroup Relat. 2016;19(4):528–42.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Wen HL, Sim W, Ng CH, Chin YH, Clyve L, Samarasekera DD, et al. Racism in patient care: a call to translate concerns into actions. Lancet. 2021:9(S10).

  13. Smedley BD, Stith AY, Nelson AR. Unequal treatment: confronting racial and ethnic disparities in health care. Washington, DC: National Academies Press; 2003. (Committee on Understanding and Eliminating Racial and Ethnic Disparities in Health Care, Institute of Medicine)

    Google Scholar 

  14. Bartig S, Kalkum D, Le HM, Lewicki A. Diskriminierungsrisiken und Diskriminierungsschutz im Gesundheitswesen - Wissensstand und Forschungsbedarf für die Antidiskriminierungsforschung [Internet]. Antidiskriminierungsstelle des Bundes. 2021; Available from: https://www.antidiskriminierungsstelle.de/SharedDocs/downloads/DE/publikationen/Expertisen/diskrimrisiken_diskrimschutz_gesundheitswesen.pdf?__blob=publicationFile&v=2

  15. US Department of Health and Human Services. HHS equity action plan [internet]. Washington D. C: US Department of Health and Human Services; 2022. Available from: https://www.hhs.gov/sites/default/files/hhs-equity-action-plan.pdf

    Google Scholar 

  16. Cheng EM, Cheng A, Cunningham W. Primary language and receipt of recommended health care among Hispanics in the United States. J Gen Intern Med. 2007;22(2):283–8.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Patillo M, Stieglitz S, Angoumis K, Gottlieb N. Racism against migrants in healthcare in Europe: a scoping review. International Journal for Equity in Health. under review;

  18. Hall WJ, Chapman MV, Lee KM, Merino YM, Thomas TW, Payne PK, et al. Implicit racial/ethnic bias among health care professionals and its influence on health care outcomes: a systematic review. Am J Public Health. 2015;105(12):e60–76.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Hassen N, Lofters A, Michael S, Mall A, Pinto AD, Rackal J. Implementing anti-racism interventions in healthcare settings: a scoping review. Int J Environ Res Public Health. 2021;8(6):2993.

    Article  Google Scholar 

  20. Castle B, Wendel M, Kerr J, Brooms D, Rollins A. Public health’s approach to systemic racism: a systematic literature review. J Racial Ethn Health Disparities. 2019;6(1):27–36.

    Article  PubMed  Google Scholar 

  21. Burgess D, van Ryn M, Dovidio J, Saha S. Reducing racial bias among health care providers: lessons from social-cognitive psychology. J Gen Intern Med. 2007;22(6):882–7.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Coates TN. Between the world and me. New York: Spiegel & Grau; 2015.

    Google Scholar 

  23. Cox K, Edwards K. Black Americans have a clear vision for reducing racism but little hope it will happen. Pew Research Center; 2022. Available from: https://www.pewresearch.org/race-ethnicity/2022/08/30/black-americans-have-a-clear-vision-for-reducing-racism-but-little-hope-it-will-happen/#fn-1136-1

  24. Epstein S. Beyond inclusion, beyond difference: the biopolitics of health. In: Whitmarsh I, Jones DS, editors. What’s the use of race? Modern governance and the biology of difference. Cambridge, MA: MIT Press; 2010. p. 63–90.

    Chapter  Google Scholar 

  25. Patterson EJ, Becker A, Baluran DA. Gendered racism on the body: an intersectional approach to maternal mortality in the United States. Popul Res Policy Rev. 2022;41(3):1261–94.

    Article  Google Scholar 

  26. Bastos JL, Harnois CE, Paradies YC. Health care barriers, racism and intersectionality in Australia. Soc Sci Med. 2018;199:209–18.

    Article  PubMed  Google Scholar 

  27. Lee C, Park S, Boylan JM. Cardiovascular health at the intersection of race and gender: identifying life-course processes to reduce health disparities. The Journals of Gerontology Series B Psychological Sciences and Social Sciences. 2021;76(6):1127–39.

    Article  PubMed  Google Scholar 

  28. World Bank. Country and lending groups [internet]. 2023. Available from: http://data.worldbank.org/about/country-and-lending-groups

    Google Scholar 

  29. European Union Agency for Fundamental Rights. Being black in the EU. Experiences of people of African descent. Vienna: European Union Agency for Fundamental Rights; 2023.

    Google Scholar 

  30. Coulthard GS. Red Skin, White Masks. Rejecting the colonial politics of recognition. Minneapolis, MA: University of Minnesota Press; 2014.

    Book  Google Scholar 

  31. Féron E, Rosoux V. Introduction: far away and yet so close: former colonial powers and the management of political crises in their former colonies. European Review of International Studies. 2014;1(3):7–15.

    Article  Google Scholar 

  32. Bhabha HK. The location of culture. London and New York: Routledge; 1994.

    Google Scholar 

  33. Essed P. Understanding everyday racism: an interdisciplinary theory. London: SAGE; 1991.

  34. Terkessidis M. Die Banalität des Rassismus. Migranten zweiter Generation entwickeln eine neue Perspektive. Bielefeld: Transcript; 2004.

  35. Terkessidis M. Psychologie des Rassismus. Wiesbaden: Opladen; 1998.

  36. Saltus R. Improving the quality of access to mental health information and care: the views of health practitioners and social work professionals in Wales. Diversity and Equality in Health and Care. 2006;3(3) Available from: https://www.proquest.com/scholarly-journals/improving-quality-access-mental-health/docview/2670488724/se-2?accountid=11862

  37. White-Means S, Muruako A. GIS mapping and breast cancer health care access gaps for African American women. Int J Environ Res Public Health. 2023;20(8):5455.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Hausmann LRM, Kwoh CK, Hannon MJ, Ibrahim SA. Perceived racial discrimination in health care and race differences in physician trust. Race Soc Probl. 2013;5(2):113–20.

    Article  Google Scholar 

  39. Schumann M, Kajikhina K, et al. Konzepte für ein migrationssensibles Gesundheitsmonitoring. Journal of Health Monitoring. 2019;4(3):51–68.

    Google Scholar 

  40. Balibar E. Is there a ‘neo-racism’? In: Balibar E, Wallerstein I, editors. Race, nation, class: ambiguous identities. London: Verso; 1991. p. 17–28.

    Google Scholar 

  41. Crenshaw K. Mapping the margins. Intersectionality, identity politics, and violence against women of color. Stanford Law Review. 1991;43(6):1241–99.

  42. Merz S, Jaehn P, Mena E, Pöge K, Strasser S, Saß AC, et al. Intersectionality and eco-social theory: a review of potentials for public health knowledge and social justice. Critical Public Health. 2023;33(2):125–34.

  43. Hankivsky O, Reid C, Cormier R, Varcoe C, Clark N, Benoit C, et al. Exploring the promises of intersectionality for advancing women’s health research. Int J Equity Health. 2010;9(5).

  44. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.

    Article  Google Scholar 

  45. Aksakal T, Mader M, Erdsiek F, Annac K, Padberg D, Yilmaz-Aslan Y, et al. Unterstützung von Rehabilitationseinrichtungen bei der Umsetzung einer diversitätssensiblen Versorgung: Entwicklung der DiversityKAT-Handreichung. Rehabilitation. 2024;63(1):23–30.

    Article  PubMed  Google Scholar 

  46. Erdsiek F, Aksakal T, Mader M, Idris M, Yilmaz-Aslan Y, Razum O, et al. Diversity-sensitive measures in German hospitals - attitudes, implementation, and barriers according to administration managers. BMC Health Serv Res. 2022;22(1):689.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Roes M, Laporte-Uribe F, Peters-Nehrenheim V, Smits C, Johannessen A, Charlesworth G, et al. Intersectionality and its relevance for research in dementia care of people with a migration background. Z Gerontol Geriatr. 2022;55(4):287–91.

    Article  PubMed  Google Scholar 

  48. Boeker M, Vach W, Motschall E. Google Scholar as replacement for systematic literature searches: good relative recall and precision are not enough. BMC Med Res Methodol. 2013;13(1):1–2.

    Article  Google Scholar 

  49. Gusenbauer M, Haddaway NR. Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google scholar, Pubmed, and 6 other resources. Res Synth Methods. 2020;11(2):181–217.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Haddaway NR, Collins AM, Coughlin D, Kirk S. The role of Google scholar in evidence reviews and its applicability to grey literature searching. PLoS One. 2015;10(9):e0138237.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Braun V, Clarke V. Thematic analysis. A practical guide. London: Sage; 2021.

    Google Scholar 

  52. Akobirshoev I, Mitra M, Parish SL, Moore Simas TA, Dembo R, Ncube CN. Racial and ethnic disparities in birth outcomes and labour and delivery-related charges among women with intellectual and developmental disabilities. J Intellect Disabil Res. 2019;63(4):313–26.

    Article  CAS  PubMed  Google Scholar 

  53. Blakey AO, Lavarin C, Brochier A, Amaro CM, Eilenberg JS, Kavanagh PL, et al. Effects of experienced discrimination in pediatric sickle cell disease: caregiver and provider perspectives. J Racial Ethn Health Disparities. 2022;19

  54. Capp AI. ‘They make you feel less of a human being’: understanding and responding to Milwaukee’s racial disparity in infant mortality. Matern Child Health J. 2022;26(4):736–46.

    Article  PubMed  Google Scholar 

  55. Askew DA, Foley W, Kirk C, Williamson D. ‘I’m outta here!’: A qualitative investigation into why Aboriginal and non-Aboriginal people self-discharge from hospital. BMC Health Serv Res. 2021;21(1):907.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Hemingway S, Forson-Dare Z, Ebeling M, Taylor SN. Racial disparities in sustaining breastfeeding in a baby-friendly designated southeastern United States hospital: an opportunity to investigate systemic racism. Breastfeed Med. 2021;16(2):150–5.

    Article  PubMed  Google Scholar 

  57. Henry R, Liasidis PK, Olson B, Clark D, Gomez TH, Ghafil C, et al. Disparities in care among gunshot victims: a Nationwide analysis. J Surg Res. 2023;283:59–69.

    Article  PubMed  Google Scholar 

  58. Petersen J, Kandt J, Longley PA. Ethnic inequalities in hospital admissions in England: an observational study. BMC Public Health. 2021;21(1):862.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Janevic T, Piverger N, Afzal O, Howell EA. “Just because you have ears doesn’t mean you can hear”—perception of racial-ethnic discrimination during childbirth. Ethn Dis. 2020;30(4):533–42. https://doi.org/10.18865/ed.30.4.533.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Joyes EC, Jordan M, Winship G, Crawford P. Inpatient Institutional Care: The Forced Social Environment. Front Psychol. 2021;12. [cited 2023 Aug 4]. Available from: https://www.frontiersin.org/articles/10.3389/fpsyg.2021.690384.

  61. Keshet Y, Popper-Giveon A. Patient demands for ethnic-based separation in public hospitals in Israel: patients’ and practitioners’ perspectives. Isr J Health Policy Res. 2018;7(1):44.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Worrall-Carter L, Daws K, Rahman MA, MacLean S, Rowley K, Andrews S, et al. Exploring Aboriginal patients’ experiences of cardiac care at a major metropolitan hospital in Melbourne. Aust Health Rev. 2016;40(6):696–704.

    Article  PubMed  Google Scholar 

  63. Tong JKC, Akpek E, Naik A, Sharma M, Boateng D, Andy A, et al. Reporting of discrimination by health care consumers through online consumer reviews. JAMA Netw Open. 2022;5(2):e220715. https://doi.org/10.1001/jamanetworkopen.2022.0715.

  64. Sperlich M, Gabriel C. “I got to catch my own baby”: a qualitative study of out of hospital birth. Reprod Health. 2022;19(1):43.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Solanki J, Wood L, McPherson S. Experiences of adults from a black ethnic background detained as inpatients under the mental health act (1983). Psychiatr Rehabil J. 2023;46(1):14–20.

    Article  PubMed  Google Scholar 

  66. Shapiro J, et al. Disposition decisions in cases of medical complexity and health inequity. Pediatrics. 2022;150(2):e2021055558. https://doi.org/10.1542/peds.2021-055558.

  67. Schmidt I, et al. Patients’ perspectives on race and the use of race-based algorithms in clinical decision-making: a qualitative study. J Gen Intern Med. 2023;38(9):2045–51. https://doi.org/10.1007/s11606-023-08035-4.

  68. Schödwell S, Savin M, Lauke A, Abels I, Abdel-Fatah D, Penka S, et al. Strukturelle Diskriminierung und Rassismus in der Krankenhausversorgung: die Rolle ökonomischer Rahmenbedingungen in der interkulturellen Öffnung. Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz. 2022;65(12):1307–15.

    Article  Google Scholar 

  69. Roder-DeWan S, Baril N, Belanoff CM, Declercq ER, Langer A. Being known: a grounded theory study of the meaning of quality maternity care to people of color in Boston. J Midwifery Womens Health. 2021;66(4):452–8.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Priest KC, et al. Differences in the delivery of medications for opioid use disorder during hospitalization by racial categories: a retrospective cohort analysis. Subst Abus. 2022;43(1):1251–9. https://doi.org/10.1080/08897077.2022.2074601.

  71. McGrath C, et al. Identifying and mitigating disparities in central line–associated bloodstream infections in minoritized racial, ethnic, and language groups. JAMA Pediatr. 2023;177(7):700–9. https://doi.org/10.1001/jamapediatrics.2023.1379.

  72. McLane P, Bill L, Barnabe C. First nations members’ emergency department experiences in Alberta: a qualitative study. CJEM. 2021;23(1):63–74.

    Article  PubMed  Google Scholar 

  73. Mitchell HK, Reddy A, Montoya-Williams D, Harhay M, Fowler JC, Yehya N. Hospital outcomes for children with severe sepsis in the USA by race or ethnicity and insurance status: a population-based, retrospective cohort study. The Lancet Child & Adolescent Health. 2021;5(2):103–12.

    Article  Google Scholar 

  74. Mollard E, Kupzyk K. Birth satisfaction during the early months of the COVID-19 pandemic in the United States. MCN Am J Matern Child Nurs. 2022;47(1):6–12.

    Article  PubMed  Google Scholar 

  75. Nelson S, Hackman H. Race matters: perceptions of race and racism in a sickle cell center. Pediatr Blood Cancer. 2013;60(3):451–4. https://doi.org/10.1002/pbc.24361.

  76. Attanasio LB, Hardeman RR. Declined care and discrimination during the childbirth hospitalization. Soc Sci Med. 2019;232:270–7.

    Article  PubMed  Google Scholar 

  77. Phillips-Beck W, Eni R, Lavoie JG, Avery Kinew K, Kyoon Achan G, Katz A. Confronting racism within the Canadian healthcare system: systemic exclusion of first nations from quality and consistent care. Int J Environ Res Public Health. 2020;17(22):8343.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Vedam S, Stoll K, Taiwo TK, Rubashkin N, Cheyney M, Strauss N, et al. The giving voice to mothers study: inequity and mistreatment during pregnancy and childbirth in the United States. Reprod Health. 2019;16(1):77.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Eberly LA, Richterman A, Beckett AG, Wispelwey B, Marsh RH, Cleveland Manchanda EC, et al. Identification of racial inequities in access to specialized inpatient heart failure care at an Academic Medical Center. Circ Heart Fail. 2019;12(11):e006214. https://doi.org/10.1161/CIRCHEARTFAILURE.119.006214.

  80. Weber TL, Ziegler KM, Kharbanda AB, Payne NR, Birger C, Puumala SE. Leaving the emergency department without complete care: disparities in American Indian children. BMC Health Serv Res. 2018;18(1):267.

    Article  PubMed  PubMed Central  Google Scholar 

  81. Lo AX, Donnelly JP, Durant RW, Collins SP, Levitan EB, Storrow AB, et al. A National Study of U.S. emergency departments: racial disparities in hospitalizations for heart failure. Am J Prev Med. 2018;55(5 Suppl 1):S31–9.

    Article  PubMed  Google Scholar 

  82. Qiao WP, Powell ES, Witte MP, Zelder MR. Relationship between racial disparities in ED wait times and illness severity. Am J Emerg Med. 2016;34(1):10–5.

    Article  PubMed  Google Scholar 

  83. McLemore MR, Altman MR, Cooper N, Williams S, Rand L, Franck L. Health care experiences of pregnant, birthing and postnatal women of color at risk for preterm birth. Soc Sci Med. 2018;201:127–35.

    Article  PubMed  Google Scholar 

  84. Fayfman M, et al. Report on Racial disparities in hospitalized patients with hyperglycemia and diabetes. J Clin Endocrinol Metab. 2016;101(3):1144–50. https://doi.org/10.1210/jc.2015-3220.

  85. Ali I, Vattigunta S, Jang JM, Hannan CV, Ahmed MS, Linton B, et al. Racial disparities are present in the timing of radiographic assessment and surgical treatment of hip fractures. Clin Orthop Relat Res. 2020;478(3):455–61. https://doi.org/10.1097/CORR.0000000000001091.

    Article  PubMed  Google Scholar 

  86. Berg K, McLane P, Eshkakogan N, Mantha J, Lee T, Crowshoe C, et al. Perspectives on indigenous cultural competency and safety in Canadian hospital emergency departments: a scoping review. Int Emerg Nurs. 2019;43:133–40.

    Article  PubMed  Google Scholar 

  87. Chen J, et al. Racial/ethnic inequities in healthcare-associated infections under the shadow of structural racism: narrative review and call to action. Curr Infect Dis Rep. 2021;23(10):17. https://doi.org/10.1007/s11908-021-00758-x.

  88. Espiner E, Paine SJ, Weston M, Curtis E. Barriers and facilitators for Māori in accessing hospital services in Aotearoa New Zealand. N Z Med J. 2021;134(1546):47–58.

    PubMed  Google Scholar 

  89. Graham R, Masters-Awatere B. Experiences of Māori of Aotearoa New Zealand’s public health system: a systematic review of two decades of published qualitative research. Aust N Z J Public Health. 2020;44(3):193–200.

    Article  PubMed  Google Scholar 

  90. Sanjida S, Garvey G, Ward J, Bainbridge R, Shakeshaft A, Hadikusumo S, et al. Indigenous Australians’ experiences of cancer care: a narrative literature review. Int J Environ Res Public Health. 2022;19(24):16947.

    Article  PubMed  PubMed Central  Google Scholar 

  91. DiMeglio M, et al. Factors underlying racial disparities in sepsis management. Healthcare. 2018;6(4):133. https://doi.org/10.3390/healthcare6040133.

  92. McGowan SK, Sarigiannis KA, Fox SC, Gottlieb MA, Chen E. Racial disparities in ICU outcomes: a systematic review. Crit Care Med. 2022;50(1):1–20.

    Article  PubMed  Google Scholar 

  93. Watson HL, Downe S. Discrimination against childbearing Romani women in maternity care in Europe: a mixed-methods systematic review. Reprod Health. 2017;14(1):1.

    Article  PubMed  PubMed Central  Google Scholar 

  94. Center for Reproductive Rights. Reproductive injustice. Racial and gender discrimination in US healthcare. [Internet]. Center for Reproductive Rights; 2014. Available from: https://www.reproductiverights.org/sites/crr.civicactions.net/files/documents/CERD_Shadow_US.pdf

  95. Mannor KM, Malcoe LH. Uses of theory in racial health disparities research: a scoping review and application of public health critical race praxis. Ann Epidemiol. 2022;66:56–64.

    Article  PubMed  Google Scholar 

  96. Aikins MA, et al. Afrozensus 2020: Perspektiven, Anti-Schwarze Rassismuserfahrungen und Engagement Schwarzer, afrikanischer und afrodiasporischer Menschen in Deutschland [Internet]. Berlin; 2021. Available from: www.afrozensus.de

  97. Hamed S, Thapar-Björkert S, Ahlberg BM, Bradby H. Racism in European health care: structural violence and beyond. Qual Health Res. 2020;30(11):1662–73.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Bradby H, Thapar-Björkert S, Hamed S, Ahlberg BM. ‘You are still a guest in this country!’: Understanding racism through the concepts of hospitality and hostility in healthcare encounters in Sweden. Sociology. 2022;57(4):957–74.

    Article  Google Scholar 

  99. Mulinari S, Bredström A. Race in clinical trials in Sweden: how regulatory and medical standards in clinical research trump the post-racial discourse. Sociology of Health & Illness. 2023; in press

  100. Blom N, Huijts T, Kraaykamp G. Ethnic health inequalities in Europe. The moderating and amplifying role of healthcare system characteristics. Soc Sci Med. 2016;158:43–51.

    Article  PubMed  Google Scholar 

  101. M’Charek A, Schramm K, Skinner D. Technologies of Belonging: the absent presence of race in Europe. Sci Technol Hum Values. 2014;39(4):459–67.

    Article  Google Scholar 

  102. Edmonds BT, Sharp S, Walker VP. Mitigating misogynoir: inclusive professionalism as a health equity strategy. Clin Obstet Gynecol. 2023;66(1):14–21.

    Article  Google Scholar 

  103. Thomas M, McCoy T, Jeffries I, Havekate R, Naswood E, Leston J, et al. Native American Two Spirit and LGBTQ health: A systematic review of the literature. J Gay Lesbian Ment Health. 26(4).

  104. Bauer G, Churchill MM, Walwyn C, Lizotte D, Villa-Rueda AA. Intersectionality in quantitative research: a systematic review of its emergence and applications of theory and methods. SSM population. Health. 2021;14(100798)

  105. Bowleg L. When black + lesbian + woman ≠ black lesbian woman: the methodological challenges of qualitative and quantitative intersectionality research. Sex Roles. 2008;59(5):312–25.

    Article  Google Scholar 

  106. Bowleg L, Bauer G. Invited reflection: quantifying intersectionality. Psychol Women Q. 2016;40(3):337–41.

    Article  Google Scholar 

  107. Hankivsky O, Doyal L, Einstein G, Kelly U, Shim J, Weber L, et al. The odd couple: using biomedical and intersectional approaches to address health inequities. Glob Health Action. 2017;10:1–14.

    Article  Google Scholar 

  108. Mena E, Bolte G, AdvanceGender Study Group. Classification tree analysis for an intersectionality-informed identification of population groups with non-daily vegetable intake. BMC Public Health. 2021;21(1):2007.

    Article  PubMed  PubMed Central  Google Scholar 

  109. Evans CR, Williams DR, Onnela JP, Subramaniam SV. A multilevel approach to modeling health inequalities at the intersection of multiple social identities. Soc Sci Med. 2018;203:64–73.

    Article  PubMed  Google Scholar 

  110. Merlo J. Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) within an intersectional framework. Soc Sci Med. 2018;203:74–80.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors gratefully acknowledge the funding received by the Federal Ministry of Education and Research.

Funding

Open Access funding enabled and organized by Projekt DEAL. This publication is part of the research project Rassismen in der Gesundheitsversorgung [Racisms in Healthcare], funded by the German Federal Ministry of Education and Research, 01/2023–12/2025, grant no. 01UG2231B.

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SM: contributed to the study design, collected and analysed the data, drafted and revised the final manuscript. TA: analysed the data, read and critically revised the final manuscript. AH: contributed to the study design, helped analyse and manage the data, drafted sections of the manuscript, read and critically revised the final manuscript. HY: contributed to the study design, helped analyse and manage the data, drafted sections of the manuscript, read and critically revised the final manuscript. JF: helped analyse and manage the data, read and critically revised the final manuscript. YY: contributed to funding acquisition, read and critically revised the final manuscript. PB: responsible for funding acquisition, read and critically revised the final manuscript. KA: read and critically revised the final manuscript. HTG: responsible for study design and funding acquisition, read and critically revised the final manuscript. All authors have approved the submitted version of this manuscript and agreed both to be personally accountable for the author’s own contributions and to ensure that questions related to the accuracy or integrity of any part of the work.

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Correspondence to Patrick Brzoska.

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Merz, S., Aksakal, T., Hibtay, A. et al. Racism against healthcare users in inpatient care: a scoping review. Int J Equity Health 23, 89 (2024). https://doi.org/10.1186/s12939-024-02156-w

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