Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor

Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and resource allocation. Although much hope has been placed on CPMs to mitigate human biases, CPMs may potentially contribute to racial disparities in decision-making and resource allocation. While some policymakers, professional organizations, and scholars have called for eliminating race as a variable from CPMs, others raise concerns that excluding race may exacerbate healthcare disparities and this controversy remains unresolved. The Guidance for Unbiased predictive Information for healthcare Decision-making and Equity (GUIDE) provides expert guidelines for model developers and health system administrators on the transparent use of race in CPMs and mitigation of algorithmic bias across contexts developed through a 5-round, modified Delphi process from a diverse 14-person technical expert panel (TEP). Deliberations affirmed that race is a social construct and that the goals of prediction are distinct from those of causal inference, and emphasized: the importance of decisional context (e.g., shared decision-making versus healthcare rationing); the conflicting nature of different anti-discrimination principles (e.g., anticlassification versus antisubordination principles); and the importance of identifying and balancing trade-offs in achieving equity-related goals with race-aware versus race-unaware CPMs for conditions where racial identity is prognostically informative. The GUIDE, comprising 31 key items in the development and use of CPMs in healthcare, outlines foundational principles, distinguishes between bias and fairness, and offers guidance for examining subgroup invalidity and using race as a variable in CPMs. This GUIDE presents a living document that supports appraisal and reporting of bias in CPMs to support best practice in CPM development and use.

Decolonizing nursing education: Reflecting on Paulo Freire's pedagogy of the oppressed

Historically, nursing education's foundation has been framed by colonial practices of whiteness, which serves as a fulcrum for oppression, Western epistemic ideology, racial injustice, and health inequity. As a microcosm of the broader academy, nursing education must pivot to dismantle practices impeding the advancement of the profession and move to decolonize processes of professional edification. Decolonization is not a metaphor; it requires unlearning the deep socialization of Eurocentric perspectives embedded in nursing education and relearning in a new, inclusive manner that embraces historically marginalized knowledge systems and experiences. This paper aims to operationalize what this decolonization process would look like for nursing education while reflecting on Paula Freire's Pedagogy of the Oppressed. The authors will highlight the interrelationship of the main concepts of Paulo Freire's critical pedagogy, including liberation, critical consciousness, dialog, humanization, dehumanization, problem posing, and banking education.

Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE2AT Center study protocol

INTRODUCTION

African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities. The objectives are: (1) mapping intraurban heat risk and exposure using health, socioeconomic, climate and satellite imagery data; (2) creating a stratified heat-health forecast model to predict adverse health outcomes; and (3) establishing an early warning system for timely heatwave alerts. The ultimate goal is to foster climate-resilient African cities, protecting disproportionately affected populations from heat hazards.

METHODS AND ANALYSIS

The research will acquire health-related datasets from eligible adult clinical trials or cohort studies conducted in Johannesburg and Abidjan between 2000 and 2022. Additional data will be collected, including socioeconomic, climate datasets and satellite imagery. These resources will aid in mapping heat hazards and quantifying heat-health exposure, the extent of elevated risk and morbidity. Outcomes will be determined using advanced data analysis methods, including statistical evaluation, machine learning and deep learning techniques.

ETHICS AND DISSEMINATION

The study has been approved by the Wits Human Research Ethics Committee (reference no: 220606). Data management will follow approved procedures. The results will be disseminated through workshops, community forums, conferences and publications. Data deposition and curation plans will be established in line with ethical and safety considerations.

Trauma exposure correlates among patients receiving care in federally qualified health centers

Over 80% of adults in the general population experience trauma. Rates of patients with posttraumatic stress disorder (PTSD) are high in primary care settings and are likely to be even higher in federally qualified health centers (FQHCs). Trauma exposure has been linked to psychiatric symptoms and physical health comorbidities, though little research has focused on FQHC patients. This study addresses this by examining clinical and sociodemographic correlates of specific trauma types among FQHC patients. We analyzed secondary data from patients who screened positive for PTSD and were receiving health care in FQHCs in a clinical trial (N = 978). Individuals who did versus did not experience a specific trauma type were compared using between-group tests. In the sample, 91.3% of participants were exposed to a DSM-5 Criterion A traumatic event, with 79.6% experiencing two or more trauma types. Witnessing a life-threatening event (57.3%) and physical assault (55.7%) were the most common traumatic experiences. Physical health comorbidities and worse physical health functioning were associated with a higher likelihood of exposure to all trauma types, with effect sizes larger than PTSD, ds = 0.78-1.35. Depressive and anxiety symptoms were also associated with a higher likelihood of experiencing nearly all trauma types to a lesser magnitude. People of color, OR = 2.45, and individuals experiencing financial inequities, OR = 1.73, had higher odds of experiencing serious accidents as well as other trauma types. The findings highlight the need for trauma-informed care, including routine trauma and PTSD screening, for FQHC patients.

Racial, Ethnic, and Geographic Differences in Vaginal Birth After Cesarean Delivery in the US, 2011-2021

This cross-sectional study examines racial, ethnic, and geographic differences in vaginal birth after cesarean delivery in the US, from 2011 to 2021.

Evaluating the impact of 'Ask the Specialist Plus': a training program for improving cultural safety and communication in hospital-based healthcare

BACKGROUND

First Nations peoples in colonised countries often feel culturally unsafe in hospitals, leading to high self-discharge rates, psychological distress and premature death. To address racism in healthcare, institutions have promised to deliver cultural safety training but there is limited evidence on how to teach cultural safety. To that end, we created Ask the Specialist Plus: a training program that focuses on improving healthcare providers intercultural communication skills to improve cultural safety. Our aim is to describe training implementation and to evaluate the training according to participants.

METHODS

Inspired by cultural safety, Critical Race Theory and Freirean pedagogy, Ask the Specialist Plus was piloted at Royal Darwin Hospital in Australia's Northern Territory in 2021. The format combined listening to an episode of a podcast called Ask the Specialist with weekly, one-hour face-to-face discussions with First Nations Specialists outside the clinical environment over 7 to 8 weeks. Weekly surveys evaluated teaching domains using five-point Likert scales and via free text comments. Quantitative data were collated in Excel and comments were collated in NVivo12. Results were presented following Kirkpatrick's evaluation model.

RESULTS

Fifteen sessions of Ask the Specialist Plus training were delivered. 90% of participants found the training valuable. Attendees enjoyed the unique format including use of the podcast as a catalyst for discussions. Delivery over two months allowed for flexibility to accommodate clinical demands and shift work. Students through to senior staff learnt new skills, discussed institutionally racist systems and committed to behaviour change. Considering racism is commonly denied in healthcare, the receptiveness of staff to discussing racism was noteworthy. The pilot also contributed to evidence that cultural safety should be co-taught by educators who represent racial and gender differences.

CONCLUSION

The Ask the Specialist Plus training program provides an effective model for cultural safety training with high potential to achieve behaviour change among diverse healthcare providers. The training provided practical information on how to improve communication and fostered critical consciousness among healthcare providers. The program demonstrated that training delivered weekly over two months to clinical departments can lead to positive changes through cycles of learning, action, and reflection.

Hospital-level variation in racial disparities in low-risk nulliparous cesarean delivery rates

BACKGROUND

Nationally, rates of cesarean delivery are highest among Black patients compared with other racial/ethnic groups. These observed inequities are a relatively new phenomenon (in the 1980s, cesarean delivery rates among Black patients were lower than average), indicating an opportunity to narrow the gap. Cesarean delivery rates vary greatly among hospitals, masking racial disparities that are unseen when rates are reported in aggregate.

OBJECTIVE

This study aimed to explore reasons for the current large Black-White disparity in first-birth cesarean delivery rates by first examining the hospital-level variation in first-birth cesarean delivery rates among different racial/ethnic groups. We then identified hospitals that had low first-birth cesarean delivery rates among Black patients and compared them with hospitals with high rates. We sought to identify differences in facility or patient characteristics that could explain the racial disparity.

STUDY DESIGN

A population cross-sectional study was performed on 1,267,493 California live births from 2018 through 2020 using birth certificate data linked with maternal patient discharge records. Annual nulliparous term singleton vertex cesarean delivery (first-birth) rates were calculated for the most common racial/ethnic groups statewide and for each hospital. Self-identified race/ethnicity categories as selected on the birth certificate were used. Relative risk and 95% confidence intervals for first-birth cesarean delivery comparing 2019 with 2015 were estimated using a log-binomial model for each racial/ethnic group. Patient and hospital characteristics were compared between hospitals with first-birth cesarean delivery rates <23.9% for Black patients and hospitals with rates ≥23.9% for Black patients.

RESULTS

Hospitals with at least 30 nulliparous term singleton vertex Asian, Black, Hispanic, and White patients each were identified. Black patients had a very different distribution, with a significantly higher rate (28.4%) and wider standard deviation (7.1) and interquartile range (6.5) than other racial groups (P<.01). A total of 29 hospitals with a low first-birth cesarean delivery rate among Black patients were identified using the Healthy People 2020 target of 23.9% and compared with 106 hospitals with higher rates. The low-rate group had a cesarean delivery rate of 19.9%, as opposed to 30.7% in the higher-rate group. There were no significant differences between the groups in hospital characteristics (ownership, delivery volume, neonatal level of care, proportion of midwife deliveries) or patient characteristics (age, education, insurance, onset of prenatal care, body mass index, hypertension, diabetes mellitus). Among the 106 hospitals that did not meet the target for Black patients, 63 met it for White patients with a mean rate of 21.4%. In the same hospitals, the mean rate for Black patients was 29.5%. Among Black patients in the group that did not meet the 23.9% target, there were significantly higher rates of all cesarean delivery indications: labor dystocia, fetal concern (spontaneous labor), and no labor (eg, macrosomia), which are all indications with a high degree of subjectivity.

CONCLUSION

The statewide cesarean delivery rate of Black patients is significantly higher and has substantially greater hospital variation compared with other racial or ethnic groups. The lack of difference in facility or patient characteristics between hospitals with low cesarean delivery rates among Black patients and those with high rates suggests that unconscious bias and structural racism potentially play important roles in creating these racial differences.

Racial and Socioeconomic Equity of Tecovirimat Treatment during the 2022 Mpox Emergency, New York, New York, USA

We assessed tecovirimat treatment equity for 3,740 mpox patients in New York, New York, USA, during the 2022 mpox emergency; 32.4% received tecovirimat. Treatment rates by race/ethnicity were 38.8% (White), 31.3% (Black/African American), 31.0% (Hispanic/Latino), and 30.1% (Asian/Pacific Islander/other). Future public health emergency responses must prioritize institutional and structural racism mitigation.

Cardiovascular Disease Burden and Outcomes Among American Indian and Alaska Native Medicare Beneficiaries

Importance

American Indian and Alaska Native persons face significant health disparities; however, data regarding the burden of cardiovascular disease in the current era is limited.

Objective

To determine the incidence and prevalence of cardiovascular disease, the burden of comorbid conditions, including cardiovascular disease risk factors, and associated mortality among American Indian and Alaska Native patients with Medicare insurance.

Design, Setting, and Participants

This was a population-based cohort study conducted from January 2015 to December 2019 using Medicare administrative data. Participants included American Indian and Alaska Native Medicare beneficiaries 65 years and older enrolled in both Medicare part A and B fee-for-service Medicare. Statistical analyses were performed from November 2022 to April 2023.

Main Outcomes and Measures

The annual incidence, prevalence, and mortality associated with coronary artery disease (CAD), heart failure (HF), atrial fibrillation/flutter (AF), and cerebrovascular disease (stroke or transient ischemic attack [TIA]).

Results

Among 220 598 American Indian and Alaska Native Medicare beneficiaries, the median (IQR) age was 72.5 (68.5-79.0) years, 127 402 were female (57.8%), 78 438 (38.8%) came from communities in the most economically distressed quintile in the Distressed Communities Index. In the cohort, 44.8% of patients (98 833) were diagnosed with diabetes, 61.3% (135 124) were diagnosed with hyperlipidemia, and 72.2% (159 365) were diagnosed with hypertension during the study period. The prevalence of CAD was 38.6% (61 125 patients) in 2015 and 36.7% (68 130 patients) in 2019 (P < .001). The incidence of acute myocardial infarction increased from 6.9 per 1000 person-years in 2015 to 7.7 per 1000 patient-years in 2019 (percentage change, 4.79%; P < .001). The prevalence of HF was 22.9% (36 288 patients) in 2015 and 21.4% (39 857 patients) in 2019 (P < .001). The incidence of HF increased from 26.1 per 1000 person-years in 2015 to 27.0 per 1000 person-years in 2019 (percentage change, 4.08%; P < .001). AF had a stable prevalence of 9% during the study period (2015: 9.4% [14 899 patients] vs 2019: 9.3% [25 175 patients]). The incidence of stroke or TIA decreased slightly throughout the study period (12.7 per 1000 person-years in 2015 and 12.1 per 1000 person-years in 2019; percentage change, 5.08; P = .004). Fifty percent of patients (110 244) had at least 1 severe cardiovascular condition (CAD, HF, AF, or cerebrovascular disease), and the overall mortality rate for the cohort was 19.8% (43 589 patients).

Conclusions and Relevance

In this large cohort study of American Indian and Alaska Native patients with Medicare insurance in the US, results suggest a significant burden of cardiovascular disease and cardiometabolic risk factors. These results highlight the critical need for future efforts to prioritize the cardiovascular health of this population.

Improving social justice in observational studies: protocol for the development of a global and Indigenous STROBE-equity reporting guideline

BACKGROUND

Addressing persistent and pervasive health inequities is a global moral imperative, which has been highlighted and magnified by the societal and health impacts of the COVID-19 pandemic. Observational studies can aid our understanding of the impact of health and structural oppression based on the intersection of gender, race, ethnicity, age and other factors, as they frequently collect this data. However, the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline, does not provide guidance related to reporting of health equity. The goal of this project is to develop a STROBE-Equity reporting guideline extension.

METHODS

We assembled a diverse team across multiple domains, including gender, age, ethnicity, Indigenous background, disciplines, geographies, lived experience of health inequity and decision-making organizations. Using an inclusive, integrated knowledge translation approach, we will implement a five-phase plan which will include: (1) assessing the reporting of health equity in published observational studies, (2) seeking wide international feedback on items to improve reporting of health equity, (3) establishing consensus amongst knowledge users and researchers, (4) evaluating in partnership with Indigenous contributors the relevance to Indigenous peoples who have globally experienced the oppressive legacy of colonization, and (5) widely disseminating and seeking endorsement from relevant knowledge users. We will seek input from external collaborators using social media, mailing lists and other communication channels.

DISCUSSION

Achieving global imperatives such as the Sustainable Development Goals (e.g., SDG 10 Reduced inequalities, SDG 3 Good health and wellbeing) requires advancing health equity in research. The implementation of the STROBE-Equity guidelines will enable a better awareness and understanding of health inequities through better reporting. We will broadly disseminate the reporting guideline with tools to enable adoption and use by journal editors, authors, and funding agencies, using diverse strategies tailored to specific audiences.

Patterns of Change in Race Category in the Electronic Medical Record of a Pediatric Population

This cross-sectional study sought to quantify the frequency of change in race category in the electronic medical record (EMR) of a pediatric population.

Examining racial differences in treatment and survival among patients with Paget's disease of the breast

BACKGROUND

The objective of this study was to evaluate racial differences in treatment (ie, surgery, chemotherapy, and radiation) and survival among patients with Paget's disease of the breast in the Surveillance, Epidemiology and End Result program.

METHODS

Women >18 years old diagnosed with localized or regional Paget's disease between January 1, 2010 to December 31, 2016 in the Surveillance, Epidemiology and End Result program were included. The cohort was divided into Black and White patients. Univariable analysis compared the groups. Using propensity score matching, Black and White patients were nearest matched (1:2) on age at diagnosis; Surveillance, Epidemiology and End Result summary stage; surgery; chemotherapy; and year of diagnosis. The log-rank test evaluated the matched sample's overall survival and disease-specific survival.

RESULTS

Of the 1,181 patients, the racial distribution was 1,049 (88.8%) White and 132 (11.2%) Black. A higher percentage of Black women were Medicaid insured (Black 25.8% vs White 11.1%), lived in neighborhoods with low socioeconomic status (Black 53.0% vs White 25.4%), and had regional disease than White women (Black 41.7% vs White 29%). There were no racial differences in receipt of radiation therapy (P = .90), breast surgery (P = .23), or axillary surgery (P = .25). Black patients were more likely to receive chemotherapy (Black 34.8% vs White 26.3% P = .038). In the propensity matched cohort, Black patients had a worse overall survival (P < .005) and disease-specific survival (P = .05) than White patients.

CONCLUSION

In this cohort of patients with Paget's disease, despite differences in sociodemographic factors, there were no disparities in locoregional treatment. However, on matched analysis, Black patients had a worse overall survival and disease-specific survival than their White counterparts.

Words matter: The language of difference in human genetics

Diversity, equity, and inclusion efforts in academia are leading publishers and journals to re-examine their use of terminology for commonly used scientific variables. This reassessment of language is particularly important for human genetics, which is focused on identifying and explaining differences between individuals and populations. Recent guidance on the use of terms and symbols in clinical practice, research, and publications is beginning to acknowledge the ways that language and concepts of difference can be not only inaccurate but also harmful. To stop perpetuating historical wrongs, those of us who conduct and publish genetic research and provide genetic health care must understand the context of the terms we use and why some usages should be discontinued. In this article, we summarize critiques of terminology describing disability, sex, gender, race, ethnicity, and ancestry in research publications, laboratory reports, diagnostic codes, and pedigrees. We also highlight recommendations for alternative language that aims to make genetics more inclusive, rigorous, and ethically sound. Even though norms of acceptable language use are ever changing, it is the responsibility of genetics professionals to uncover biases ingrained in professional practice and training and to continually reassess the words we use to describe human difference because they cause harm to patients.

Association of Disparities in Family History and Family Cancer History in the Electronic Health Record With Sex, Race, Hispanic or Latino Ethnicity, and Language Preference in 2 Large US Health Care Systems

Importance

Clinical decision support (CDS) algorithms are increasingly being implemented in health care systems to identify patients for specialty care. However, systematic differences in missingness of electronic health record (EHR) data may lead to disparities in identification by CDS algorithms.

Objective

To examine the availability and comprehensiveness of cancer family history information (FHI) in patients' EHRs by sex, race, Hispanic or Latino ethnicity, and language preference in 2 large health care systems in 2021.

Design, Setting, and Participants

This retrospective EHR quality improvement study used EHR data from 2 health care systems: University of Utah Health (UHealth) and NYU Langone Health (NYULH). Participants included patients aged 25 to 60 years who had a primary care appointment in the previous 3 years. Data were collected or abstracted from the EHR from December 10, 2020, to October 31, 2021, and analyzed from June 15 to October 31, 2021.

Exposures

Prior collection of cancer FHI in primary care settings.

Main Outcomes and Measures

Availability was defined as having any FHI and any cancer FHI in the EHR and was examined at the patient level. Comprehensiveness was defined as whether a cancer family history observation in the EHR specified the type of cancer diagnosed in a family member, the relationship of the family member to the patient, and the age at onset for the family member and was examined at the observation level.

Results

Among 144 484 patients in the UHealth system, 53.6% were women; 74.4% were non-Hispanic or non-Latino and 67.6% were White; and 83.0% had an English language preference. Among 377 621 patients in the NYULH system, 55.3% were women; 63.2% were non-Hispanic or non-Latino, and 55.3% were White; and 89.9% had an English language preference. Patients from historically medically undeserved groups-specifically, Black vs White patients (UHealth: 17.3% [95% CI, 16.1%-18.6%] vs 42.8% [95% CI, 42.5%-43.1%]; NYULH: 24.4% [95% CI, 24.0%-24.8%] vs 33.8% [95% CI, 33.6%-34.0%]), Hispanic or Latino vs non-Hispanic or non-Latino patients (UHealth: 27.2% [95% CI, 26.5%-27.8%] vs 40.2% [95% CI, 39.9%-40.5%]; NYULH: 24.4% [95% CI, 24.1%-24.7%] vs 31.6% [95% CI, 31.4%-31.8%]), Spanish-speaking vs English-speaking patients (UHealth: 18.4% [95% CI, 17.2%-19.1%] vs 40.0% [95% CI, 39.7%-40.3%]; NYULH: 15.1% [95% CI, 14.6%-15.6%] vs 31.1% [95% CI, 30.9%-31.2%), and men vs women (UHealth: 30.8% [95% CI, 30.4%-31.2%] vs 43.0% [95% CI, 42.6%-43.3%]; NYULH: 23.1% [95% CI, 22.9%-23.3%] vs 34.9% [95% CI, 34.7%-35.1%])-had significantly lower availability and comprehensiveness of cancer FHI (P < .001).

Conclusions and Relevance

These findings suggest that systematic differences in the availability and comprehensiveness of FHI in the EHR may introduce informative presence bias as inputs to CDS algorithms. The observed differences may also exacerbate disparities for medically underserved groups. System-, clinician-, and patient-level efforts are needed to improve the collection of FHI.