Barrier or stressor? The role of discrimination experiences in health service use

A mixed methods PAR study investigating social capital as a resource for Black and other racially minoritised communities in the UK: A study protocol

Understanding how different Black and other racially minoritised communities thrive is an emerging priority area in mental health promotion. Literature demonstrates health benefits of social capital (social resources embedded within social networks). However, its effects are not always positive, particularly for certain subpopulations who are already disadvantaged.The CONtributions of social NEtworks to Community Thriving (CONNECT) study will use Participatory Action Research (PAR) to investigate social capital as a resource that benefits (or hinders) racially minoritised communities and their mental health. The CONNECT study was designed within a partnership with community organisations and responds to local policy in two South-East London Boroughs, thereby providing potential channels for the action component of PAR. Taking an anti-racism lens, we acknowledge the underpinning role of racism in creating health inequities. We apply an intersectional framework to be considerate of overlapping forms of oppression such as age, gender, socioeconomic status, and sexual orientation as an essential part of developing effective strategies to tackle health inequities. Key components of this mixed methods PAR study include (1) involving racialised minority community members as peer researchers in the team (2) collecting and analysing primary qualitative data via interviews, photovoice, and community mapping workshops, (3) developing relevant research questions guided by peer researchers and collaborating organisations and analysing secondary quantitative data accordingly, (4) integrating qualitative and quantitative phases, and (5) working closely with community and policy partners to act on our findings and use our research for social change.The PAR approach will allow us to engage community (voluntary sector and government) and academic partners in decision making and help address imbalances in power and resource allocation. Knowledge generated through this collaborative approach will contribute to existing community initiatives, policies, and council strategies. This will ensure the views and experiences of racially minoritised communities drive the changes we are collaboratively committed to achieving.

The measurement of racism in health inequities research

There is limited literature on the measures and metrics used to examine racism in the health inequities literature. Health inequities research is continuously evolving, with the number of publications increasing over time. However, there is limited knowledge on the best measures and methods to examine the impact of different levels of racism (institutionalized, personally mediated, and internalized) on health inequities. Advanced statistical methods have the potential to be used in new ways to examine the relationship between racism and health inequities. In this review, we conduct a descriptive examination of the measurement of racism in the health inequities epidemiologic literature. We examine the study design, methods used for analysis, types of measures used (e.g., composite, absolute, relative), number of measures used, phase of research (detect, understand, solutions), viewpoint (oppressor, oppressed), and components of structural racism measures (historical context, geographical context, multifaceted nature). We discuss methods (e.g., Peters-Belson, latent class analysis, difference in differences) that have demonstrated potential for future work. The articles reviewed were limited to the detect (25%) and understand (75%) phases, with no studies in the solutions phase. Although the majority (56%) of studies had cross-sectional designs, many authors pointed to the need for longitudinal and multilevel data for further exploration. We examined study design features as mutually exclusive elements. However, racism is a multifaceted system and the measurement of racism in many studies does not fit into a single category. As the literature grows, the significance of methodological and measurement triangulation to assess racism should be investigated.

The Impact of Language on the Mental Health of Black Quebecers

Quebec's English-speaking Black community finds itself at the intersection of racial and linguistic discrimination, which presents challenges to mental wellness. The present study aims to add necessary detail to the conversations surrounding racism and mental health in Canada while including language as a determinant of health and intersecting element affecting the wellbeing of English-speaking Black Quebecers. We recruited 531 Black adults who are currently living in Quebec to complete a survey on various community-relevant items, including their mental and physical health, their experiences of discrimination, and barriers to accessing mental healthcare. Our analyses revealed that English-speaking participants experience more discrimination across all types and report more barriers to mental healthcare and lower mental health than their French-speaking counterparts. Furthermore, we found that language also had a mediated effect on mental health through discrimination and barriers to mental healthcare. Our study adds to the sparse race-based and intersectional literature about Black people in Canada and substantiates a mechanism by which language affects mental health by exposing Black Quebecers to more discrimination and thus higher barriers to care.

Intersectionality of Systemic Disadvantage on Mortality and Care Following TBI

BACKGROUND

People of color (POC), especially those who also hold social identities associated with disadvantage (non-English-speaking, female, older, lower socioeconomic level), continue to be underserved in the health system, which can result in poorer care and worsened health outcomes. Most disparity research in traumatic brain injury (TBI) focuses on the impact of single factors, which misses the compounding effect of belonging to multiple historically marginalized groups.

OBJECTIVE

To examine the intersectional impact of multiple social identities vulnerable to systemic disadvantage following TBI on mortality, opioid usage during acute hospitalization, and discharge location.

METHODS

Retrospective observational design utilizing electronic health records merged with local trauma registry data. Patient groups were defined by race and ethnicity (POC or non-Hispanic White), age, sex, type of insurance, and primary language (English-speaking vs non-English-speaking). Latent class analysis (LCA) was performed to identify clusters of systemic disadvantage. Outcome measures were then assessed across latent classes and tested for differences.

RESULTS

Over an 8-year period, 10 809 admissions with TBI occurred (37% POC). LCA identified a 4-class model. Groups with more systemic disadvantage had higher rates of mortality. Classes with older populations had lower rates of opioid administration and were less likely to discharge to inpatient rehabilitation following acute care. Sensitivity analyses examining additional indicators of TBI severity demonstrated that the younger group with more systemic disadvantage had more severe TBI. Controlling for more indicators of TBI severity changed statistical significance in mortality for younger groups.

CONCLUSION

Results demonstrate significant health inequities in the mortality and access to inpatient rehabilitation following TBI along with higher rates of severe injury in younger patients with more social disadvantages. While many inequities may be related to systemic racism, our findings suggested an additive, deleterious effect for patients who belonged to multiple historically disadvantaged groups. Further research is needed to understand the role of systemic disadvantage for individuals with TBI within the healthcare system.

Association Between Urban Regeneration and Healthcare-Seeking Behavior of Affected Residents: A Natural Experiment in two Multi-Ethnic Deprived Housing Areas in Denmark

Area regeneration of deprived neighborhoods is being used to reduce health inequality, socioeconomic deprivation and ethnic segregation. This quasi-experimental study examines if long-term graded exposure to urban regeneration is associated with primary healthcare-seeking behavior among residents. We compared general practitioner (GP) contacts from 2015-2020 in two adjacent, deprived social housing areas, one exposed to area regeneration. Populations were into Western and non-Western males and females aged 15 years and older (N = 3,960). Mean annual GP contact frequency for each group were estimated and a difference-in-difference (DiD) analysis was conducted with adjustments for propensity scores based on baseline characteristics. GP contact frequency increased for all groups across time with a systematically higher level and faster increase in the control groups. In particular, the mean difference between the exposed and control area for non-Western women more than doubled from -0.61 to -1.47 annual contacts across the period. The mean differences in contact frequency increased for all groups but results of the DiD analyses were insignificant. In conclusion, an emerging gap in GP contact frequency, with the highest levels in the control area, was observed for all comparisons across time. More long-term research is needed to understand how the emerging gaps evolve.

Health protection challenges of slums residents during the COVID-19 pandemic, according to the social determinants of health framework: A case study of Kerman city in Iran

BACKGROUND

Coronavirus disease-2019 (COVID-19) pandemic can aggravate the health problems in slum areas. The present study intends to examine the challenges of health protection of slum's residences during the COVID-19 pandemic with the Social Determinants of Health perspective, in Kerman city in Iran.

MATERIALS AND METHODS

The present study was a qualitative content analysis. Data were collected by purposeful sampling in-depth and semi-structured interviews with 16 people. The interviews were conducted (from October to December 2020) with the local representatives of the slum's residents, health-care workers, managers of facilitation offices, and welfare social service centers that are located in slum areas (Interview's guide is attached). The textual material from the interviews was entered into the MAXQDA software and directed content analysis was used to analyze the data.

RESULTS

Data analysis led to the identification of 4 categories (Sociocultural, Situational, Economical, and Physical environment) and 12 subcategories: Sociocultural: lack of awareness, begging culture, low trust in disease control programs, low bottom-up planning, and increasing violence; Situational: decreasing donors' activities and canceling important meetings; Economical: unemployment, decreasing in income, and increasing limitations of many institutions in providing resources; and Physical environment: inadequate space and inappropriate conditions in some houses and alleys for people protection against Corona viruses.

CONCLUSIONS

Slum residents have faced many challenges during the COVID-19 pandemic. These challenges can affect the health of slum and other urban dwellers. Multidisciplinary thinking and actions are needed. Increase awareness and engagement slum residents in control disease programs should be considered.

A Systematic Review of Inequalities in the Mental Health Experiences of Black African, Black Caribbean and Black-mixed UK Populations: Implications for Action

BACKGROUND

Measurable differences in the experience and treatment of mental health conditions have been found to exist between different racial categories of community groups. The objective of this research was to review the reported mental health of Black African-Caribbean communities in the UK, determinants of mental health, and interventions to enhance their experiences of mental health services.

METHOD

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement was applied. To be included, papers must be published in a peer reviewed journal; report on adult populations (over 18) from any of Black African, Black Caribbean or Black mixed people in the UK; and assess (quantitative), or discuss (qualitative) mental health experiences, determinants of mental health, or interventions intended to enhance experiences of mental health services among the target population. The aims, inclusion criteria, data extraction, and data quality evaluation were specified in advance. Searches were conducted using EBSCO (PsychInfo; MEDLINE; CINAHL Plus; psychology and behavioural sciences collection). The search strategy included search terms relating to the aim. Risk of bias was assessed using a standard tool, records were organised using Endnote, and data were extracted and synthesised using Microsoft Excel.

RESULTS

Thirty-six studies were included, of which 26 were quantitative and six reported exclusively on Black participants. Black populations were less likely to access mental health support via traditional pathways due to stigma and mistrust of mental health services. Black Africans especially, sought alternative help from community leaders, which increased the likelihood of accessing treatment at the point of crisis or breakdown, which in turn increased risk of being detained under the Mental Health Act and via the criminal justice system.

DISCUSSION

Findings suggest a cycle of poor mental health, coercive treatment, stigma, and mistrust of services as experienced by Black communities. Evidence was limited by poorly defined ethnic categories, especially where Black populations were subsumed into one category. It is recommended that mental health services work collaboratively with cultural and faith communities in supporting Black people to cope with mental illness, navigate mental health pathways, and provide culturally appropriate advice. Protocol Registration Number PROSPERO CRD42021261510.

Public opinion on sharing data from health services for clinical and research purposes without explicit consent: an anonymous online survey in the UK

OBJECTIVES

UK National Health Service/Health and Social Care (NHS/HSC) data are variably shared between healthcare organisations for direct care, and increasingly de-identified for research. Few large-scale studies have examined public opinion on sharing, including of mental health (MH) versus physical health (PH) data. We measured data sharing preferences.

DESIGN/SETTING/INTERVENTIONS/OUTCOMES

Pre-registered anonymous online survey, measuring expressed preferences, recruiting February to September 2020. Participants were randomised to one of three framing statements regarding MH versus PH data.

PARTICIPANTS

Open to all UK residents. Participants numbered 29 275; 40% had experienced an MH condition.

RESULTS

Most (76%) supported identifiable data sharing for direct clinical care without explicit consent, but 20% opposed this. Preference for clinical/identifiable sharing decreased with geographical distance and was slightly less for MH than PH data, with small framing effects. Preference for research/de-identified data sharing without explicit consent showed the same small PH/MH and framing effects, plus greater preference for sharing structured data than de-identified free text. There was net support for research sharing to the NHS, academic institutions, and national research charities, net ambivalence about sharing to profit-making companies researching treatments, and net opposition to sharing to other companies (similar to sharing publicly). De-identified linkage to non-health data was generally supported, except to data held by private companies. We report demographic influences on preference. A majority (89%) supported a single NHS mechanism to choose uses of their data. Support for data sharing increased during COVID-19.

CONCLUSIONS

Support for healthcare data sharing for direct care without explicit consent is broad but not universal. There is net support for the sharing of de-identified data for research to the NHS, academia, and the charitable sector, but not the commercial sector. A single national NHS-hosted system for patients to control the use of their NHS data for clinical purposes and for research would have broad support.

TRIAL REGISTRATION NUMBER

ISRCTN37444142.

Public opinion on sharing data from health services for clinical and research purposes without explicit consent: an anonymous online survey in the UK

OBJECTIVES

UK National Health Service/Health and Social Care (NHS/HSC) data are variably shared between healthcare organisations for direct care, and increasingly de-identified for research. Few large-scale studies have examined public opinion on sharing, including of mental health (MH) versus physical health (PH) data. We measured data sharing preferences.

DESIGN/SETTING/INTERVENTIONS/OUTCOMES

Pre-registered anonymous online survey, measuring expressed preferences, recruiting February to September 2020. Participants were randomised to one of three framing statements regarding MH versus PH data.

PARTICIPANTS

Open to all UK residents. Participants numbered 29 275; 40% had experienced an MH condition.

RESULTS

Most (76%) supported identifiable data sharing for direct clinical care without explicit consent, but 20% opposed this. Preference for clinical/identifiable sharing decreased with geographical distance and was slightly less for MH than PH data, with small framing effects. Preference for research/de-identified data sharing without explicit consent showed the same small PH/MH and framing effects, plus greater preference for sharing structured data than de-identified free text. There was net support for research sharing to the NHS, academic institutions, and national research charities, net ambivalence about sharing to profit-making companies researching treatments, and net opposition to sharing to other companies (similar to sharing publicly). De-identified linkage to non-health data was generally supported, except to data held by private companies. We report demographic influences on preference. A majority (89%) supported a single NHS mechanism to choose uses of their data. Support for data sharing increased during COVID-19.

CONCLUSIONS

Support for healthcare data sharing for direct care without explicit consent is broad but not universal. There is net support for the sharing of de-identified data for research to the NHS, academia, and the charitable sector, but not the commercial sector. A single national NHS-hosted system for patients to control the use of their NHS data for clinical purposes and for research would have broad support.

TRIAL REGISTRATION NUMBER

ISRCTN37444142.

Latent variable and clustering methods in intersectionality research: systematic review of methods applications

PURPOSE

An intersectionality framework has been increasingly incorporated into quantitative study of health inequity, to incorporate social power in meaningful ways. Researchers have identified "person-centered" methods that cluster within-individual characteristics as appropriate to intersectionality. We aimed to review their use and match with theory.

METHODS

We conducted a multidisciplinary systematic review of English-language quantitative studies wherein authors explicitly stated an intersectional approach, and used clustering methods. We extracted study characteristics and applications of intersectionality.

RESULTS

782 studies with quantitative applications of intersectionality were identified, of which 16 were eligible: eight using latent class analysis, two latent profile analysis, and six clustering methods. Papers used cross-sectional data (100.0%) primarily had U.S. lead authors (68.8%) and were published within psychology, social sciences, and health journals. While 87.5% of papers defined intersectionality and 93.8% cited foundational authors, engagement with intersectionality method literature was more limited. Clustering variables were based on social identities/positions (e.g., gender), dimensions of identity (e.g., race centrality), or processes (e.g., stigma). Results most commonly included four classes/clusters (60.0%), which were frequently used in additional analyses. These described sociodemographic differences across classes/clusters, or used classes/clusters as an exposure variable to predict outcomes in regression analysis, structural equation modeling, mediation, or survival analysis. Author rationales for method choice included both theoretical/intersectional and statistical arguments.

CONCLUSION

Latent variable and clustering methods were used in varied ways in intersectional approaches, and reflected differing matches between theory and methods. We highlight situations in which these methods may be advantageous, and missed opportunities for additional uses.

A comparison of single and intersectional social identities associated with discrimination and mental health service use: data from the 2014 Adult Psychiatric Morbidity Survey in England

Inequities in mental health service use (MHSU) and treatment are influenced by social stratification processes linked to socially contextualised interactions between individuals, organisations and institutions. These complex relations underpin observed inequities and their experience by people at the intersections of social statuses. Discrimination is one important mechanism influencing such differences. We compared inequities in MHSU/treatment through single and intersectional status analyses, accounting for need. We assessed whether past-year discrimination differentially influences MHSU/treatment across single and intersecting statuses. Data came from a population survey (collected 2014-2015) nationally representative of English households (N = 7546). We used a theory and datadriven approach (latent class analysis) which identified five intersectional groups in the population comprising common combinations of social statuses. Single status analyses identified characteristics associated with MHSU/treatment (being a sexual minority (adjusted odds ratio (AOR) 1.65 95% CI:1.09-2.50), female (AOR 1.71, 95% CI:1.45-2.02), economically inactive (AOR 2.02, 95% CI:1.05-3.90), in the most deprived quintile (AOR 1.33, 95% CI:1.02-1.74), and Black (AOR 0.36 95% CI:0.20-0.66)). Intersectional analyses detected patterns not apparent from single status analyses. Compared to the most privileged group ("White British, highly educated, employed, high social class"), "Retired White British" had greater odds of MHSU/treatment (AOR 1.88, 95% CI:1.53-2.32) while "Employed migrants" had lower odds (AOR 0.39, 95% CI:0.27-0.55). Past-year discrimination was associated with certain disadvantaged social statuses and greater MHSU/treatment but-except for sexual minorities-adjusting for discrimination had little influence using either analytic approach. Observing patterns only by single social statuses masks potentially unanticipated and contextually varying inequities. The latent class approach offers policy-relevant insights into patterns and mechanisms of inequity but may mask other key intersectional patterns by statuses less common or under represented in surveys (e.g. UK-born ethnic minority groups). We propose multiple, context-relevant, theory-driven approaches to intersectional understanding of mental health inequalities.

Access to mental healthcare in the year after first fit note: a longitudinal study of linked clinical records

OBJECTIVES

Sickness absence is strongly associated with poor mental health, and mental disorders often go untreated. In this population-based cohort study, we identified people receiving fit notes from their general practitioner (GP) and determined access to mental health treatment stratified by health complaint and demographic variables.

DESIGN

Longitudinal study of health records.

SETTING

Primary care and secondary mental health care in the borough of Lambeth, South London. Forty-five GP practices in Lambeth and the local secondary mental healthcare trust.

PARTICIPANTS

The analytical sample included 293 933 working age adults (16-60 years) registered at a Lambeth GP practice between 1 January 2014 and 30 April 2016.

PRIMARY AND SECONDARY OUTCOME MEASURES

Three indicators of mental healthcare in the year after first fit note were antidepressant prescription, contact with Improving Access to Psychological Therapy (IAPT) services and contact with secondary mental health services.

RESULTS

75% of people with an identified mental health condition at first fit note had an indicator of mental healthcare in the following year. Black Caribbean and Black African groups presenting with mental disorders were less likely to have a mental healthcare indicator compared with White British groups.

CONCLUSIONS

The majority of those with an identified mental health need receive some treatment in the year following a fit note; however, our results suggest Black African and Black Caribbean groups with an identified mental healthcare need have less complete access compared to the White British group.

This is our lane: talking with patients about racism

Racism has significantly impacted communities of color for centuries. The year 2020 is a reminder that racism is an ongoing public health crisis. Healthcare institutions have an important role in dismantling racism because of their ability to implement innovative solutions that advance diversity, address social determinants of health, and promote health equity. Healthcare professionals have the unique opportunity to support patients by discussing patients' experiences of bias and racism. Asking about discrimination, however, can be difficult because of the sensitive nature of the topic and lack of appropriate education. This review highlights the importance of addressing patients' experiences of racism, utilizing the frameworks of trauma-informed care, structural competency, provider bias, and intersectionality. Furthermore, this review provides ways to engage in meaningful dialogue around discrimination and includes important patient-centric resources.

Adolescent profiles of ethnicity/race and socioeconomic status: Implications for sleep and the role of discrimination and ethnic/racial identity

The present study seeks to explore the intersectionality of ethnicity/race and socioeconomic status (SES) among ethnic/racial minority adolescents in their developmental contexts, examining its implications for sleep disparities and the roles of discrimination and ethnic/racial identity (ERI; i.e., adolescents' understanding and feelings about who they are in relation to their ethnic/racial group). With 350 adolescents (Asian 41.4%, Black, 21.7%, and Latinx 36.9%, female=69.1%, Mage=14.27), we conducted a latent class analysis (LCA) to identify latent classes of adolescents' ethnicity/race, ethnic/racial diversity in their schools and neighborhoods along with SES of their families, schools, and neighborhoods. Next, with hierarchical regression, we tested the association between class membership and subjective and objective sleep duration and quality, followed by the moderating effect of discrimination and ERI. We expected to find adolescents living in low diversity and low SES across various developmental contexts to experience lower levels of subjective and objective sleep duration and quality compared to their counterparts. We also expected to find exacerbating effects of discrimination and ERI exploration, and protective effects of ERI commitment in these associations. Three latent groups were identified (C1: "Black/Latinx adolescents in low/moderate SES families in varying diversity and low SES schools and neighborhoods," C2: "Predominantly Latinx adolescents in low SES families and moderate diversity and SES schools and neighborhoods," and C3: "Predominantly Asian adolescents in low/moderate SES families in moderate/high diversity and SES schools and neighborhoods"). The class memberships to C1 and C2 were associated with compromised sleep duration and quality compared to C3. An interaction effect of discrimination was found for C1 in subjective sleep duration and for C2 in objective sleep duration. While no interactions were found for ERI, ERI commitment had a direct association with objective sleep duration and quality. Interpretations and implications for intersectionality approach in studies on sleep disparities and the roles of discrimination and ERI are discussed.