Dataset Information

Maybe they had a bad day: how LGBTQ and BIPOC patients react to bias in healthcare and struggle to speak out.

ABSTRACT:

Objective

People who experience marginalization, including Black, Indigenous, People of Color (BIPOC) and Lesbian, Gay, Bisexual, Transgender, Queer, Plus (ie, all other marginalized genders and sexual orientations) people (LGBTQ+) experience discrimination during healthcare interactions, which negatively impacts patient-provider communication and care. Yet, scarce research examines the lived experience of unfair treatment among patients from marginalized groups to guide patient-centered tools that improve healthcare equity.

Materials and methods

We interviewed 25 BIPOC and/or LGBTQ+ people about their experiences of unfair treatment and discrimination when visiting healthcare providers. Through thematic analysis, we describe participants' immediate reactions and longer-term consequences of those experiences.

Results

We identified 4 ways that participants reacted to discrimination in the moment: Fighting, Fleeing, Excusing, and Working Around Bias. Long-term consequences reflect 6 ways they coped: Delaying or Avoiding Care, Changing Healthcare Providers, Self-prescribing, Covering Behaviors, Experiencing Health Complications, and Mistrusting Healthcare Institutions.

Discussion

By describing how patients react to experiences of unfair treatment and discrimination, our findings enhance the understanding of health disparities as patients cope and struggle to speak out.To combat these problems, we identify 3 future directions for informatics interventions that improve provider behavior, support patient advocacy, and address power dynamics in healthcare.

Conclusions

BIPOC and LGBTQ+ patients' perspectives on navigating unfair treatment and discrimination in healthcare offers critical insight into their experiences and long-term consequences of those experiences. Understanding the circumstances and consequences of unfair treatment, discrimination, and the impact of bias through this patient-centered lens is crucial to inform informatics technologies that promote health equity.

SUBMITTER: Apodaca C

PROVIDER: S-EPMC9667158 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Maybe they had a bad day: how LGBTQ and BIPOC patients react to bias in healthcare and struggle to speak out.

Apodaca Calvin C Casanova-Perez Reggie R Bascom Emily E Mohanraj Deepthi D Lane Cezanne C Vidyarthi Drishti D Beneteau Erin E Sabin Janice J Pratt Wanda W Weibel Nadir N Hartzler Andrea L AL

Journal of the American Medical Informatics Association : JAMIA 20221101 12

<h4>Objective</h4>People who experience marginalization, including Black, Indigenous, People of Color (BIPOC) and Lesbian, Gay, Bisexual, Transgender, Queer, Plus (ie, all other marginalized genders and sexual orientations) people (LGBTQ+) experience discrimination during healthcare interactions, which negatively impacts patient-provider communication and care. Yet, scarce research examines the lived experience of unfair treatment among patients from marginalized groups to guide patient-centered ...[more]

PMID: 35985279

Similar Datasets

Project description:PurposeLesbian, gay, bisexual, transgender, queer, and other sexual and gender diverse (LGBTQ+) individuals have health needs specific to their identities. However, they face discrimination and cis-heteronormativity in most patient-provider interactions, which often translate into poor healthcare. Evidence suggests doctors are inadequately trained to care for LGBTQ+ patients. Medical students are well-placed as the future workforce to establish affirming behaviours. This study garners LGBTQ+ patients' healthcare experiences, where limited qualitative evidence exists, and explores whether students have insight into these experiences.MethodThirty LGBTQ+ patients and twenty students, evenly divided between Singapore and the United Kingdom (UK), two legally and culturally different countries, consented to semi-structured interviews in 2022 to evaluate their LGBTQ+ healthcare perceptions. Thematic analysis was conducted using a collaborative, iterative process involving five investigators, with frequent auditing of data interpretation.ResultsMost patients described implicit biases with a lack of support and professionalism from doctors, hindering health outcomes. Patients experienced misgendering and a lack of recognition of sexual and gender diversity; students appreciated the need to acknowledge patient identity. Although perceptions surrounding certain themes were similar between patients and students in both countries, patients' voices on the complexity and dissatisfaction of gender-diverse care contrasted with students' lack of insight on these themes. Singapore patients were more concerned with sociolegal acceptance affecting health needs, whilst UK patients noted more nuanced barriers to healthcare. Although many students were unsure about specific health needs and perceived a lack of training, they expressed willingness to create an equitable healthcare environment.ConclusionsLGBTQ+ patients provided powerful narratives on discrimination surrounding their healthcare needs. To address these, medical students must be encouraged by healthcare educators to develop identity-affirming behaviours as future change-makers and challenge cis-heteronormative views. Alongside vital institutional changes tailored to each country, patients' and students' collective action would create meaningful educational opportunities to reach culture change.

Project description:IntroductionLesbian, gay, bisexual, transgender, queer, and other sexual and gender minority (LGBTQ+) individuals have an increased scope of healthcare needs and face many barriers to accessing healthcare. However, LGBTQ+ healthcare education remains scarce, and students' understanding of LGBTQ+ healthcare remains largely uncharacterised. This study investigated the knowledge of and attitudes toward LGBTQ+ healthcare among medical students in Singapore and the United Kingdom (UK), two culturally different countries.MethodsMedical students in two medical schools, one in Singapore and the other in the UK, completed self-administered cross-sectional surveys using multiple-choice, Likert scale, and free-text questions to explore their ideas, concerns, and expectations about LGBTQ+ healthcare education within their medical curricula.ResultsFrom 330 responses, students' knowledge levels were moderate overall, with pronounced gaps in certain areas, including terminology, sexual health, and conversion therapy. Deficiencies in knowledge were significantly greater among students in Singapore compared to the UK (p < 0.001), whilst LGBTQ+ students and non-religious students had more positive knowledge and attitudes than students not identifying. At least 78% of students had positive attitudes towards LGBTQ+ individuals, but 84% had not received LGBTQ+-specific medical education. Although junior UK students were more satisfied with the adequacy of teaching by their medical school's incorporation of LGBTQ+ inclusive teaching in a newer curriculum, qualitative analyses suggested that students in both countries wanted to receive more training. Students further suggested improvements to the medical curriculum to meet their needs.ConclusionStudents in both schools lacked understanding of commonly-used terminology and topics such as sexual healthcare despite affirming attitudes towards LGBTQ+ healthcare. Although sociolegal contexts may affect students' perspectives, differences were less than thought, and students were equally keen to provide affirmative care to their patients. They emphasised a need for more formal teaching of LGBTQ+ healthcare professions to overcome healthcare disparities in these communities.

Dataset Information

Maybe they had a bad day: how LGBTQ and BIPOC patients react to bias in healthcare and struggle to speak out.

Objective

Materials and methods

Results

Discussion

Conclusions

Publications

Maybe they had a bad day: how LGBTQ and BIPOC patients react to bias in healthcare and struggle to speak out.

Similar Datasets

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