Accuracy of race, ethnicity, and language preference in an electronic health record

Epidemiology, genetics and management of vitiligo in the USA: an All of Us investigation

BACKGROUND

Vitiligo is an autoimmune skin depigmentation disorder significantly impacting quality of life. This condition is difficult to treat, with high relapse rates. Additionally, vitiligo associates with other autoimmune conditions, complicating patient management. Improving patient outcomes relies on understanding vitiligo's clinical landscape and genetic risk factors.

OBJECTIVES

We aimed to understand vitiligo's patient distribution, current management practices, how comorbid autoimmune conditions influence treatment and how genetic risk factors vary in diverse populations.

METHODS

We conducted a cross-sectional study of the All of Us research program, consisting of surveys, electronic health records and genomic data from 206,173 participants in the USA recruited between the summer of 2017 and 1 July 2022. We determined diagnostic and prescribing rates and elucidated differences in genetic risk within different populations.

RESULTS

Oral corticosteroids are most frequently prescribed, followed by other immunosuppressive drugs and topical medications. Comorbid systemic lupus erythematosus impacted treatment choices. Single nucleotide polymorphisms associated with increased risk in patients of European decent were not always associated with increase risk in patients of other ancestry.

CONCLUSIONS

This work highlights the current treatment landscape for vitiligo in the USA. We demonstrated that comorbid conditions impact treatment choices and genetic risk factors vary between ethnic groups.

Learning Health Systems Research: Continued Progress and Ongoing Challenges

BACKGROUND

Learning health systems research (LHSR) builds on concepts of systems-based participatory research to form a new paradigm for partnered research.

OBJECTIVE

Defines LHSR and its ongoing challenges and future directions.

RESEARCH DESIGN

Qualitative description of relevant dimensions of LHSR.

RESULTS

In LHSR, researchers and health system stakeholders co-create research with dual aims of producing internal quality improvement and generalizable, disseminable knowledge. This approach aligns research priorities with community and health system needs, resulting in interventions that are both feasible and acceptable in real-world settings and effective. LHSR methods and outcomes reflect elements of implementation science, particularly participatory implementation science and the use of mixed methods, but the field is distinct in its emphasis on co-creation with health system leaders and the use of theory to inform rather than drive the work. Practitioners of LHSR face challenges related to the complex and multi-stakeholder nature of the field, including the time-intensive nature of building partnerships, conflicting project time horizons, imprecision inherent in real-world data, and barriers to publication of the smaller studies that typically result from LHSR.

CONCLUSIONS

Continued advancement of the field requires confronting these challenges with a variety of interventions, including explicit institutional support and incentives for this type of work, training and career development opportunities, a diversity of funding sources, investment in data resources and expertise, and inclusive research governance structures.

Discrimination, racism, and bias in childbirth pain management in the United States: a scoping review and directions for research and clinical care

Racial and ethnic disparities in obstetric analgesia care persist in the United States. There is a paucity of validated tools to measure how discrimination, racism, and bias affect obstetric anesthesia care. As a result, little is known about how racism and other forms of discrimination impact pain management during childbirth. In this scoping review, we evaluated 11 studies that quantitatively measured or qualitatively described experiences of discrimination, racism, or bias in childbirth pain management among birthing people in the United States. Studies focused on birthing people with marginalized identities due to race and ethnicity, disability status, history of opioid use disorder, and health insurance status. We provide nine recommendations for research and 14 recommendations for clinical practice to mitigate the impact of interpersonal, institutional, and structural discrimination in obstetric anesthesia care. Future research should prioritize quantitative analyses between structural discrimination and childbirth pain management, and employ an intersectional approach to improve care for birthing people with multiple marginalized identities. Clinical practice recommendations include developing rapport and trust with birthing people before labor analgesia is needed, diversifying the labor and delivery workforce, establishing patient-family advisory councils, and encouraging professional societies to advocate for equitable perinatal health policies.

Race and Ethnicity Data in the Electronic Health Records: New Insights Through Comparison with American Community Survey Microdata

The collection of race and ethnicity information varies across data sources which impacts our ability to conduct high quality research focused on population health, generally, and racial and ethnic disparities in health, specifically. This research examines concordance in racial/ethnic identification between two sources by linking individual-level electronic health record (EHR) data (2017-2019) from a public integrated health delivery system in North Carolina to American Community Survey (ACS) microdata (2001-2017). We find that concordance is high for individuals who identify as non-Hispanic Black, non-Hispanic White, and Hispanic but considerably lower for other non-White, non-Hispanic individuals, particularly for American Indian and Alaska Native patients. Given their detailed health information, EHR data have the potential to support research focused on population health and racial and ethnic disparities. Results from this study provide information regarding data quality and future applications of this work to expand population research.

Factors Influencing Length of Care in Physical Therapy After Pediatric and Adolescent Concussion

CONTEXT

Social determinants of health including insurance type, income, race, and ethnicity have been shown to influence the utilization of physical therapy and recovery after an orthopedic injury. The influence of social determinants of health on the utilization of physical therapy and recovery from concussion is not well understood.

DESIGN

Prospective observational registry study in a specialty concussion program.

METHODS

Patients diagnosed with a concussion using the Postconcussion Symptom Inventory and the visio-vestibular examination (VVE) who were also referred to physical therapy were included. The main outcomes of interest were the number of days from referral to initial physical therapy evaluation and the number of physical therapy visits completed. Information related to patients' age, race, ethnicity, sex, insurance type, and Child Opportunity Index was extracted from the registry. Multivariate and univariate regressions were used to assess the associations of each sociodemographic characteristic with the outcomes.

RESULTS

A total of 341 patients diagnosed with concussion between January 2017 and December 2023 met inclusion criteria. The average age was 14.77, and 64% were female. Patients' age, race, ethnicity, insurance type, and Child Opportunity Index were not associated with days to evaluation or length of care in physical therapy. Higher PCSI scores in children under 12 years (coefficient: 0.17, 95% CI, 0.06-0.29) and female sex (coefficient: 1.2, 95% CI, 0.26-2.1) were associated with a longer course of care in physical therapy. Patients with an abnormal VVE score had on average 2.1 more physical therapy visits than those with a normal VVE score (coefficient: 2.1, 95% CI, 0.73-3.5).

CONCLUSIONS

Higher PCSI scores in children, female sex, and higher VVE scores in general predicted a longer course of care in physical therapy. Implementation of a clinical care pathway for concussion care using the PCSI and the VVE may be one strategy to help mitigate systemic factors that might otherwise negatively influence access to physical therapy.

Reduced left-without-being-seen rates and impact on disparities after guest services ambassadors implementation

BACKGROUND

The rate of patients who leave without being seen (LWBS) from an emergency department (ED) is a common measurement of quality, operational efficiency, and patient satisfaction. We hypothesized that adding a nonclinical staff role, guest service ambassadors (GSA), to the ED waiting room would decrease LWBS rates and reduce existing differences by race, ethnicity, sex, and primary language for ED patients.

METHODS

We conducted an observational cohort study at a quaternary care academic ED in the Midwestern United States with approximately 60,000 annual visits between April and December 2022. GSAs were trained to guide patients and visitors through the check-in process and help manage the waiting room. LWBS rates were compared between pre- and postimplementation periods using logistic regression. Using two-sample proportion tests, subgroup analyses were performed to assess differences according to race, ethnicity, sex, and primary language.

RESULTS

We analyzed 50,507 ED visits including 9798 during periods of GSA coverage. GSA presence was associated with a reduction in LWBS rate from 3.4% to 2.0% (absolute risk reduction [ARR] of 1.4%, χ2 = 17.357, p < 0.001) with an adjusted odds ratio (OR) of 0.65 (95% confidence interval [CI] 0.49-0.85). There was a greater reduction in LWBS for Black, Indigenous, and people of color (BIPOC) patients compared to White patients (BIPOC ARR 1.8%, 95% CI 0.39%-3.14%; White ARR 1.2%, 95% CI 0.48%-1.94%). There was a reduction in LBWS rates for both males and females (female ARR 1.7%, 95% CI 0.80%-2.63%; male ARR 1.0%, 95% CI 0.06%-1.90%). The reduction in LWBS for patients speaking a language other than English and requiring interpreter services did not meet statistical significance (ARR 1.4%, 95% CI -1.04% to 3.85%).

CONCLUSIONS

Although some disparities remain, our study suggests that GSAs may provide an effective strategy to reduce the overall LWBS rate and reduce disparities across diverse demographic groups including BIPOC and female patients.

Patient Safety Event Risk and Language Barriers: A Scoping Review

Patients who experience language barriers (LBs) may be at risk for patient safety events (PSEs). We conducted a scoping review of the literature to understand the risk for and type of PSEs in those who experience LBs. We searched PubMed, Web of Science, and Embase in October 2023. The search was organized into the following concepts: language barriers and patient safety. We included English language studies where risk of a PSE was compared in patients who experience to those who do not experience LBs or where types/characteristics of PSEs were compared in patients who are and are not at risk for LBs. We identified 22 studies for inclusion. Studies were primarily based in the United States and inpatient focused. Multiple methods were used to define patients who experience LBs and to identify PSEs. Patients who experienced LBs appeared to be at risk for communication-sensitive safety events, including medication-related adverse events and events related to vaginal deliveries, but at equal or lower risk for other types of events. Studies that did not rely solely on PSEs identified by clinician/staff report were more likely to identify disparities. We found few studies on PSE risk and LBs, a reflection of the dearth of research in this area and data sources with patient language. Studies had mixed results in part due to the multiple methods used to identify patients who experience LBs and PSEs. Interventions to reduce PSEs for patients who experience LBs should focus on events resulting from communication breakdowns.

Medication for Opioid Use Disorder for Hospitalized Patients at Six New York City Public Hospitals with an Addiction Consult Service

OBJECTIVES

We explored medications for opioid use disorder treatment (MOUD) utilization in six New York City public hospitals that implemented the "Consultation for Addiction Care and Treatment in Hospitals (CATCH)" program.

METHODS

CATCH rolled out between October 2018 and February 2020. Data from the electronic health record were analyzed for the first year post-implementation. Eligible cases included adults with an opioid-related diagnosis admitted to inpatient departments served by CATCH, with a stay of ≥1 night. Patients were classified as receiving an MOUD order if there was at least 1 order of buprenorphine, methadone, or naltrexone. Logistic regression modeled the impact of CATCH consults on MOUD orders, controlling for demographic and clinical characteristics with hospital as a random effect.

RESULT

Among 2117 eligible patients, 71.4% were male, with a mean age of 51.2 years, and 27.2% identified as Black, 21.2% as White, and 34.5% as Hispanic. MOUD was ordered in 60.9% of admissions, and 41.5% had a completed CATCH consult. Patients identified as Black had lower odds of receiving a MOUD order than those identified as White (OR: 0.52, 95% CI: 0.38-0.71; P < 0.001). Patients with a CATCH consult had higher odds of receiving a MOUD order (OR: 3.22, 95% CI: 2.54-4.07; P < 0.001).

CONCLUSION

Majority of patients in our sample received a MOUD order, with higher odds among those with a CATCH consult. Further research is needed on the drivers of racial disparities in MOUD, and other contextual, organizational, and population-specific barriers and facilitators contributing to receipt of hospital-based addiction consult services and MOUD.

Access to care and the Hispanic paradox among Hispanic patients with hepatocellular carcinoma

PURPOSE

Despite the disproportionate impact of hepatocellular carcinoma (HCC) on Hispanic patients, reported outcomes are limited, particularly among subpopulations. Our study aimed to evaluate outcomes in access to care and survival among racial and ethnic Hispanic subpopulations.

METHODS

The National Cancer Database was utilized to identify patients diagnosed with HCC between 2004 and 2020. The independent variables of interest were racial/ethnic groups, with the Hispanic population disaggregated by race and Hispanic heritage. The primary outcomes were the presentation of early versus late-stage HCC, undergoing a curative-intent procedure, time to treatment, and overall survival. Logistic regression was performed with adjustments made for demographic, clinical, and socioeconomic variables.

RESULTS

Among 211,988 patients with HCC identified, 12.3 % (n = 26,085) were classified as Hispanic. In comparison with NHW patients, South/Central American patients had the lowest odds of early-stage presentation (OR=0.91; p = 0.1), Cuban patients had the lowest odds of undergoing a curative-intent procedure (OR=0.72; p = 0.04), and Mexican patients had the highest odds of delayed treatment (OR=1.45; p < 0.001). Hispanics had a longer median survival at 19 months than NHW patients (15 months, p < 0.001), with Hispanic Black (HR 0.59, p < 0.001) and Dominican (HR 0.56, p < 0.001) patients having the lowest mortality risk among Hispanic subpopulations.

DISCUSSION

Despite decreased resection rates and increased likelihood of delayed treatment, Hispanics had improved survival across its subpopulations in comparison to NHW patients, further highlighting the Hispanic paradox.

Cancer center-based follow-up among pediatric and adolescent/young adult cancer survivors: the role of a community-based organization and the social determinants of health

PURPOSE

Adherence to survivorship care is suboptimal among pediatric and adolescent/young adult (AYA) cancer survivors. We evaluated predictors of cancer center-based follow-up among pediatric/AYA cancer survivors, with an emphasis on social determinants of health (SDOH).

METHODS

This retrospective cohort study used electronic health record data at an academic medical center to identify patients aged 0-29 years at last cancer treatment who completed treatment 2010-2019. Cancer center-based follow-up was defined by oncology or survivorship clinic visits through 12/31/2022. Multivariate logistic regression models (overall, ages 0-19 [pediatric], 20-29 [YA]) evaluated the association of demographics, clinical/treatment characteristics, and SDOH (insurance type, distance to cancer center, area deprivation index) with clinic attendance. Further modeling accounted for the service area of a community-based organization (CBO) that supports families of children with cancer.

RESULTS

A total of 2210 survivors were included (56% pediatric, 44% YA; 66% non-White). Cancer center-based follow-up decreased from 94% 1-year post-treatment to 35% at > 5-7 years. In adjusted analysis, AYAs had the lowest follow-up (5-7 years post-treatment: OR 0.25 [0.15-0.41] for age 25-29; OR 0.25 [0.16-0.41] for age 20-24; OR 0.32 [0.20-0.52] for age 15-19). Survivors residing within the CBO service area were twice as likely to follow-up (OR 2.10 [1.34-3.29]).

CONCLUSIONS

Among a diverse population, AYA survivors were vulnerable to loss to follow-up. Other SDOH were not consistently associated with follow-up. Support from a CBO may partly explain these findings.

IMPLICATIONS FOR CANCER SURVIVORS

CBOs may strengthen survivorship follow-up within medically underserved communities. More research is needed to understand community support in survivorship.

Discrepancies in Aggregate Patient Data between Two Sources with Data Originating from the Same Electronic Health Record: A Case Study

BACKGROUND

 Data exploration in modern electronic health records (EHRs) is often aided by user-friendly graphical interfaces providing "self-service" tools for end users to extract data for quality improvement, patient safety, and research without prerequisite training in database querying. Other resources within the same institution, such as Honest Brokers, may extract data sourced from the same EHR but obtain different results leading to questions of data completeness and correctness.

OBJECTIVES

 Our objectives were to (1) examine the differences in aggregate output generated by a "self-service" graphical interface data extraction tool and our institution's clinical data warehouse (CDW), sourced from the same database, and (2) examine the causative factors that may have contributed to these differences.

METHODS

 Aggregate demographic data of patients who received influenza vaccines at three static clinics and three drive-through clinics in similar locations between August 2020 and December 2020 was extracted separately from our institution's EHR data exploration tool and our CDW by our organization's Honest Brokers System. We reviewed the aggregate outputs, sliced by demographics and vaccination sites, to determine potential differences between the two outputs. We examined the underlying data model, identifying the source of each database.

RESULTS

 We observed discrepancies in patient volumes between the two sources, with variations in demographic information, such as age, race, ethnicity, and primary language. These variations could potentially influence research outcomes and interpretations.

CONCLUSION

 This case study underscores the need for a thorough examination of data quality and the implementation of comprehensive user education to ensure accurate data extraction and interpretation. Enhancing data standardization and validation processes is crucial for supporting reliable research and informed decision-making, particularly if demographic data may be used to support targeted efforts for a specific population in research or quality improvement initiatives.

Disparities in Buprenorphine Administration for Opioid Use Disorder in the Emergency Department

STUDY OBJECTIVE

Although buprenorphine is an effective treatment for opioid use disorder (OUD), this treatment is often not universally provided in the emergency department (ED). We aimed to determine whether patient characteristics, particularly race and ethnicity, were associated with buprenorphine administration.

METHODS

This was a retrospective cross-sectional study of adult patients who had a positive screening result for opioid misuse in the ED at a single urban hospital. Univariate and multivariable logistic regressions were used to assess the association of patient characteristics (race, ethnicity, age, sex, insurance type, and Area Deprivation Index) with buprenorphine administration.

RESULTS

Of 1082 patients who screened positive for opioid misuse, 133 (12%) were treated with buprenorphine and 949 (88%) were not. Despite representing over half the patient sample, Black patients (n = 682) were less likely than White patients (n = 310) to be treated with buprenorphine (multivariable: OR, 0.56; 95% CI, 0.35-0.88; P = 0.023). Age, sex, insurance type, ethnicity, and Area Deprivation Index were not associated with buprenorphine administration.

CONCLUSIONS

Patient race was associated with buprenorphine administration, even after controlling for multiple other social determinants of health. These data suggest racial disparities in care that should be investigated through further research to optimize equitable administration of buprenorphine.

Racial Disparities in Palliative Care at End-of-Life in Children with Advanced Heart Disease in the South

OBJECTIVE

To examine specialty pediatric palliative care (SPPC) and end-of-life care for children with advanced heart disease in Alabama, including rates of and disparities in SPPC involvement.

STUDY DESIGN

We performed a retrospective study from electronic health records of children (≤21 years at death) who died with advanced heart disease at a single institution between 2012 and 2019 (n = 128). The main outcome was SPPC consult; we assessed clinical and sociodemographic factors associated with SPPC.

RESULTS

The median age at death was 6 months (IQR = 1-25 months) with 80 (63%) ≤1 year; 46% were Black and 45% non-Hispanic White. Seventy (55%) children had critical congenital heart disease, 45 (35%) non-critical congenital heart disease, and 13 (10%) acquired heart disease. Twenty-nine children (22%) received SPPC. Children ≤1 year at time of death and Black children were less likely to receive SPPC (aOR [95% CI]: 0.2 [0.1-0.6], reference >1 year; 0.2 [0.1-0.7], reference non-Hispanic White). SPPC was associated with death while receiving comfort-focused care (30.6 [4.5-210]), do not resuscitate orders (8.2 [2.1-31.3]), and hospice enrollment (no children without SPPC care were enrolled in hospice) but not medically intense end-of-life care (intensive care unit admission, mechanical ventilation, hemodialysis, or cardiopulmonary resuscitation) or death outside the intensive care unit.

CONCLUSIONS

Children dying with advanced heart disease in Alabama did not have routine SPPC involvement; infants and Black children had lower odds of SPPC. SPPC was associated with more comfort-focused care. Disparities in SPPC utilization for children with advanced heart disease need further examination.

Ethnic origin in cancer clinical trials: overrated or understated? A comprehensive analysis of cancer clinical trials leading to FDA and EMA approvals between 2020 and 2022

BACKGROUND

Ethnic diversity in cancer clinical trials is essential to ensure that therapeutic advances are equitable and broadly applicable in multicultural societies. Yet, missing consensus on the documentation of ethnic origin, partially based on the complexity of the terminology and fear of discrimination, leads to suboptimal patient management of minority populations. Additionally, eligibility criteria, such as stringent laboratory cut-offs, often fail to account for variations across ethnic groups, potentially excluding patients without evidence-based justification.

PATIENTS AND METHODS

This analysis addresses this issue by investigating ethnic diversity in clinical trials that led to European Medicines Agency (EMA) and Food and Drug Administration (FDA) approvals between 2020 and 2022. Trials were identified from FDA and EMA databases, and available protocols and full-text publications were reviewed for documentation of ethnic background and eligibility criteria for organ function (bone marrow, liver, and renal). Descriptive statistics were applied to summarize the findings.

RESULTS

Of the 56 trials analyzed, only two-thirds of primary result publications included information on ethnic origin. Caucasian and Asian groups were documented in most of those trials and also had the highest percentages of participants across trials, while other ethnic subgroups were less frequently documented and only made up a small proportion of trial participants. Eligibility criteria often set strict organ function cut-offs that did not consider variations among ethnic groups, potentially excluding minorities. The Cockcroft-Gault formula was frequently used to assess kidney function, despite its known limitations for multiethnic cohorts.

CONCLUSIONS

Ethnic homogenous participants and eligibility criteria that favor majority groups limit the applicability of findings in diverse populations, leading to inadequate patient management. While United States guidelines encourage inclusivity, similar recommendations are lacking in Europe. Thus European regulatory authorities, research organizations, and patient advocates should establish guidelines to improve ethnic diversity in cancer clinical trials, aligning research practices with the increasingly multicultural composition of European societies.

Evaluating racial and ethnic disparities in antibiotic treatment for pneumonia patients in a major academic health system

Objective

Examine the relationship between patients' race and prescriber antibiotic choice while accounting for differences in underlying illness and infection severity.

Design

Retrospective cohort analysis.

Setting

Acute care facilities within an academic healthcare system.

Patients

Adult inpatients from January 2019 through June 2022 discharged from the Hospital Medicine Service with an ICD-10 Code for Pneumonia.

Methods

We describe variability in days of therapy of antimicrobials with activity against Pseudomonas aeruginosa (anti-Pseudomonas agents) or against MRSA (anti-MRSA agents), by patient's race and ethnicity. We estimated the likelihood of receipt of any anti-Pseudomonas agents by race and modeled the effect of race on rate of use, adjusting for age, severity, and indication.

Results

5,820 patients with 6,700 encounters were included. After adjusting for broad indication, severity, underlying illness, and age, use of anti-Pseudomonas agents were less likely among non-Hispanic Black patients than other race groups, although this effect was limited to younger patients (adjusted odds ratio [aOR] 0.45, 95% confidence interval [CI] 0.29, 0.70), and not older ones (aOR 0.98; 95% CI 0.85, 1.13); use of anti-MRSA agents were similar between groups. Among patients receiving any anti-Pseudomonas agents, Black patients received them for relatively lower proportion of their inpatient stay (incidence rate ratio 0.91; 95% CI 0.87, 0.96).

Conclusions

We found difference in use of anti-Pseudomonas agents between non-Hispanic Black patients and other patients that could not be easily explained by indications or underlying illness, suggesting unmeasured factors may be playing a role in treatment decisions.

Associations between patient portal use and electronic health record (EHR) data timeliness in type 2 diabetes mellitus care

Objective

Patient data is subject to missingness and errors. Patient portals enable patients managing type 2 diabetes mellitus (T2DM) to review and correct data to avoid retesting, medication errors, and diagnostic mistakes. We examined whether patient portal use was associated with electronic health record (EHR) data timeliness in T2DM care.

Research Design and methods

We analyzed EHR data from a panel of adult patients to determine whether portal use improved data timeliness. EHR data timeliness is measured as the number of days between patient encounters, accounting for mean attribute update periods, where available EHR attribute updates for T2DM measurements were present, including body mass, weight, glycated hemoglobin A1c, cholesterol, blood pressure, serum creatinine, and smoking status. We performed negative binomial regressions with fixed effects to estimate the association between patient portal use and EHR data timeliness. Sensitivity analyses were conducted using Poisson regressions.

Results

Nearly a third (31.3%) of patients in our sample actively used the health portal. There were fewer days (111.9 days vs. 136.7 days; p < 0.001) between EHR attribute updates for patients who used health portals compared to patients who did not. Data timeliness was lower among female, non-Hispanic White Medicare beneficiaries. Based on regression analyses, portal use was associated with an expected 3.6 (p < 0.001) percentage point decrease in days between attribute updates, indicating improved EHR timeliness.

Conclusion

Improving the quality of health information may streamline decision-making in partnership with patients who produce data points across clinical settings. Active use of patient portals and digital health tools in chronic disease care are critical for care management and clinical decision-making, especially for patients managing type 2 diabetes across clinical settings.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01468-6.

Disparities in Misclassification of Race and Ethnicity in Electronic Medical Records Among Patients with Traumatic Injury

Systems-level barriers to self-reporting of race and ethnicity reduce the integrity of data entered into the medical record and trauma registry among patients with injuries, limiting research assessing the burden of racial disparities. We sought to characterize misclassification of self-identified versus hospital-recorded racial and ethnic identity data among 10,513 patients with traumatic injuries. American Indian/Alaska Native patients (59.9%) and Native Hawaiian/Pacific Islander patients (52.4%) were most likely to be misclassified. Most Hispanic/Latin(x) patients preferred to only be identified as Hispanic/Latin(x) (73.2%) rather than a separate race category (e.g., White). Incorrect identification of race/ethnicity also has substantial implications for the perceived demographics of patient population; according to the medical record, 82.3% of the population were White, although only 70.6% were self-identified as White. The frequency of misclassification of race and ethnicity for persons of color limits research validity on racial and ethnic injury disparities.

Assessing for race, ethnicity, and socioeconomic disparities in central line-associated bloodstream infection risk in a large academic health system

OBJECTIVE

To examine the relationship between race and ethnicity and central line-associated bloodstream infections (CLABSI) while accounting for inherent differences in CLABSI risk related to central venous catheter (CVC) type.

DESIGN

Retrospective cohort analysis.

SETTING

Acute care facilities within an academic healthcare system.

PATIENTS

Adult inpatients from January 2012 through December 2017 with CVC present for ≥2 contiguous days.

METHODS

We describe variability in demographics, comorbidities, CVC type/configuration, and CLABSI rate by patient's race and ethnicity. We estimated the unadjusted risk of CLABSI for each demographic and clinical characteristic and then modelled the effect of race on time to CLABSI, adjusting for total parenteral nutrition use and CVC type. We also performed exploratory analysis replacing race and ethnicity with social vulnerability index (SVI) metrics.

RESULTS

32,925 patients with 57,642 CVC episodes met inclusion criteria, most of which (51,348, 89%) were among non-Hispanic White or non-Hispanic Black patients. CVC types differed between race/ethnicity groups. However, after adjusting for CVC type, configuration, and indication in an adjusted cox regression, the risk of CLABSI among non-Hispanic Black patients did not significantly differ from non-Hispanic White patients (adjusted hazard ratio [aHR] 1.19; 95% confidence interval [CI]: 0.94, 1.51). The odds of having a CLABSI among the most vulnerable SVI subset compared to the less vulnerable was no different (odds ratio [OR] 0.95; 95% CI: 0.75-1.2).

CONCLUSIONS

We did not find a difference in CLABSI risk between non-Hispanic White and non-Hispanic Black patients when adjusting for CLABSI risk inherent in type and configuration of CVC.

Are Depression and Anxiety Underdiagnosed in Socially Vulnerable Patients With Inflammatory Bowel Disease?

INTRODUCTION

Depression and anxiety are highly prevalent among individuals with inflammatory bowel disease (IBD); however, little is understood about how social determinants of health (SDOH) may impact mental health diagnoses in this population. The social vulnerability index (SVI) is a publicly available tool that can be used to study SDOH in IBD patients.

METHODS

Home addresses from a retrospective cohort of IBD patients at a single center were used to geocode patients to their individual census tract and corresponding SVI. We used multivariable logistic regression to examine the relationship between SVI and comorbid mental health diagnoses in patients with IBD. Secondarily, data from standardized health questionnaires were then used to determine if patients were adequately screened for depression and anxiety.

RESULTS

In all, 9644 patients were included; 18% had a diagnosis of depression, 21% anxiety, and 32% had a composite of "any mental health diagnosis." Depression (odds ratio [OR], 1.27; 95% confidence interval [CI], 1.02-1.56) but not anxiety (OR, 0.87; 95% CI, 0.71-1.06) nor "any mental health diagnosis" (OR, 1.09; 95% CI, 0.92-1.30) was associated with higher levels of social vulnerability. However, overall rates of screening for depression and anxiety were low (15% and 8%, respectively), with the lowest screening rates among the most socially vulnerable (depression 8.2%, anxiety 6.3%).

CONCLUSIONS

Disparities in the diagnoses of depression and anxiety for socially vulnerable patients with IBD exist. Awareness of these inequities is the first step toward developing interventions to improve mental health screening, eliminate barriers and bias, and promote referrals for appropriate mental health management.

Race and Ethnicity and Clinician Linguistic Expressions of Doubt in Hospital Admission Notes

Importance

Stigmatizing language in electronic health records (EHRs) can generate or reinforce negative stereotypes about patients from minoritized groups and erode their trust and experience. However, less is known about the use of such language to cast doubt on patient clinical history in hospital settings.

Objective

To compare the prevalence of language expressing doubt about patient clinical history (eg, experiences and symptoms) in hospital admission notes by patient race and ethnicity.

Design, Setting, and Participants

In this cohort study, natural language processing tools were applied to analyze 54 936 admission notes from 1249 clinicians about patients aged 18 years or older at admission and hospitalized at an academic health system in the Northeast US between January 1, 2018, and February 28, 2023. Data were analyzed from September 1, 2022, to July 31, 2023.

Exposure

Patient race and ethnicity (non-Hispanic Black, non-Hispanic White, and racial and ethnic minoritized groups excluding non-Hispanic Black [includes multiple racial and ethnic groups, such as Hispanic and Asian]) as recorded in the EHR based on self-report or registrar determination.

Main Outcome and Measure

Binary indicator for at least 1 term casting doubt on patient clinical history was defined using epistemic stance, a linguistic construct expressing a writer's degree of certainty in information. Terms were manually validated via iterative review of notes by the study team.

Results

Among 56 325 admission notes (mean [SD] age of patients, 55.9 [19.0] years; 30 913 notes among female patients [54.9%]; 25 649 notes among non-Hispanic Black patients [45.5%], 26 442 notes among non-Hispanic White patients [46.9%], and 2985 notes among members of racial and ethnic minoritized groups excluding non-Hispanic Black patients [5.3%]), we analyzed 54 936 admission notes that had no missing data. Among all analyzed admission notes, 39 023 notes (71.0%) contained doubt language. Notes written about non-Hispanic Black patients had increased odds of containing at least 1 word or phrase of doubt (adjusted odds ratio, 1.21; 95% CI, 1.14-1.28; P < .001) compared with notes among non-Hispanic White patients. Compared with notes among non-Hispanic White patients, notes written about members of racial and ethnic minoritized groups excluding non-Hispanic Black patients had similar odds of containing at least 1 term of doubt.

Conclusion and Relevance

In this study, language casting doubt on patient clinical history was more likely to be found in notes of non-Hispanic Black patients. These results suggest that with the implementation of policies allowing patients full access to their health records, examining clinical documentation standards may be associated with improved patient experience.

Community and Patient Features and Health Care Point of Entry for Pediatric Concussion

Importance

Many recent advances in pediatric concussion care are implemented by specialists; however, children with concussion receive care across varied locations. Thus, it is critical to identify which children have access to the most up-to-date treatment strategies.

Objective

To evaluate differences in the sociodemographic and community characteristics of pediatric patients who sought care for concussion across various points of entry into a regional health care network.

Design, Setting, and Participants

This cross-sectional study included children seen for concussions across a regional US health care network from January 1, 2017, to August 4, 2023. Pediatric patients aged 0 to 18 years who received an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification code for concussion were included. The study took place at emergency department (ED) and outpatient (primary care [PC] and specialty care [SC]) settings.

Exposures

Age at visit, biological sex, parent-identified race and ethnicity, payer type, median income and percentage of adults with a bachelor's degree for home zip code, and overall and subdomain Child Opportunity Index (COI) score based on patient address.

Main Outcomes and Measures

The association of exposures with point of entry of ED, PC, and SC were examined in both bivariate analysis and a multinomial logistic regression.

Results

Overall, 15 631 patients were included in the study (median [IQR] age, 13 [11-15] years; 7879 [50.4%] male; 1055 [6.7%] Hispanic, 2865 [18.3%] non-Hispanic Black, and 9887 [63.7%] non-Hispanic White individuals). Race and ethnicity were significantly different across settings (1485 patients [50.0%] seen in the ED were non-Hispanic Black vs 1012 [12.0%] in PC and 368 [8.7%] in SC; P < .001) as was insurance status (1562 patients [52.6%] seen in the ED possessed public insurance vs 1624 [19.3%] in PC and 683 [16.1%] in SC; P < .001). Overall and individual COI subdomain scores were also significantly different between settings (overall COI median [IQR]: ED, 30 [9-71]; PC, 87 [68-95]; SC, 87 [69-95]; P < .001). Race, insurance status, and overall COI had the strongest associations with point of entry in the multivariable model (eg, non-Hispanic Black patients seen in the ED compared with non-Hispanic White patients: odds ratio, 2.03; 95% CI, 1.69-2.45).

Conclusions and Relevance

In this cross-sectional study, children with concussion seen in the ED setting were more likely to be non-Hispanic Black, have public insurance, and have a lower Child Opportunity Index compared with children cared for in the PC or SC setting. This highlights the importance of providing education and training for ED clinicians as well as establishing up-to-date community-level resources to optimize care delivery for pediatric patients with concussion at high risk of care inequities.

Community Collaboration to Advance Racial/Ethnic Equity in Colorectal Cancer Screening: Protocol for a Multilevel Intervention to Improve Screening and Follow-up in Community Health Centers

INTRODUCTION

Colorectal cancer (CRC) screening utilization is low among low-income, uninsured, and minority populations that receive care in community health centers (CHCs). There is a need for evidence-based interventions to increase screening and follow-up care in these settings.

METHODS

A multilevel, multi-component pragmatic cluster randomized controlled trial is being conducted at 8 CHCs in two metropolitan areas (Boston and Los Angeles), with two arms: (1) Mailed FIT outreach with text reminders, and (2) Mailed FIT-DNA with patient support. We also include an additional CHC in Rapid City (South Dakota) that follows a parallel protocol for FIT-DNA but is not randomized due to lack of a comparison group. Eligible individuals in participating clinics are primary care patients ages 45-75, at average-risk for CRC, and overdue for CRC screening. Participants with abnormal screening results are offered navigation for follow-up colonoscopy and CRC risk assessment.

RESULTS

The primary outcome is the completion rate of CRC screening at 90 days. Secondary outcomes include the screening completion rate at 180 days and the rate of colonoscopy completion within 6 months among participants with an abnormal result. Additional goals are to enhance our understanding of facilitators and barriers to CRC risk assessment in CHC settings.

CONCLUSIONS

This study assesses the effectiveness of two multilevel interventions to increase screening participation and follow-up after abnormal screening in under-resourced clinical settings, informing future efforts to address CRC disparities.

TRIAL REGISTRATION

NCT05714644.

"Racial mortality inversion": Black-white disparities in mortality among people experiencing homelessness in the United States

Disparities in mortality between Black and White people have long been observed. These disparities persist at all income levels. However, similar patterns in racial mortality disparities are not observed among people experiencing homelessness. Instead, studies in a handful of cities show a reversal in the Black-White mortality disparity in the United States: Black people experiencing homelessness are less likely to die compared to White people experiencing homelessness. We propose a theory of "racial mortality inversion" and test whether inverted Black-White mortality patterns are observable in homeless populations throughout the United States. Using a novel dataset of 18,618 homeless decedents in 20 localities across 10 states and the District of Columbia, we find consistent evidence for "racial mortality inversion" across time and place. Between 2015 and 2020, the aggregate White homeless mortality rate was 67.8%-138.4% higher than the rate for the Black homeless population. Inverted racial mortality rates were observed in all 20 localities and in nearly every year. Across the entire sample, higher average ages of death were also observed for Black people compared to White people experiencing homelessness in 5 of 6 years, though racial inversion in age was not consistent across localities. These findings offer novel insight into racial health disparities among people experiencing homelessness and may inform policies and programs that seek to prevent homelessness and homeless mortality across racial groups.

Prevalence of Late-Stage Parkinson's Disease in the US Healthcare System: Insights from TriNetX

BACKGROUND

Patients in late-stage Parkinson's disease (PDLS) are caregiver-dependent, have low quality of life, and higher healthcare costs.

OBJECTIVE

To estimate the prevalence of PDLS patients in the current US healthcare system.

METHODS

We downloaded the 2010-2022 data from the TriNetX Diamond claims network that consists of 92 US healthcare sites. PD was identified using standard diagnosis codes, and PDLS was identified by the usage of wheelchair dependence, personal care assistance, and/or presence of diagnoses of dementia. Age of PDLS identification and survival information were obtained and stratified by demographic and the disability subgroups.

RESULTS

We identified 1,031,377 PD patients in the TriNetX database. Of these, 18.8% fitted our definition of PDLS (n = 194,297), and 10.2% met two or more late-stage criteria. Among all PDLS, the mean age of PDLS identification was 78.1 (±7.7) years, and 49% were already reported as deceased. PDLS patients were predominantly male (58.5%) with similar distribution across PDLS subgroups. The majority did not have race (71%) or ethnicity (69%) information, but for the available information >90% (n = 53,162) were White, 8.2% (n = 5121) Hispanic/Latino, 7.8% (n = 4557) Black, and <0.01% (n = 408) Asian. Of the PDLS cohort, 71.6% identified with dementia, 12.9% had personal care assistance, and 4.8% were wheelchair-bound.

CONCLUSIONS

Late-stage patients are a significant part of the PD landscape in the current US healthcare system, and largely missed by traditional motor-based disability staging. It is imperative to include this population as a clinical, social, and research priority. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Risk management or racial Bias? The disparate use of restraints in the Emergency Department of an Urban Safety-Net Hospital

OBJECTIVES

Limited data exist on racial-ethnic differences in the application of restraints for patients visitng the emergency department (ED). This study examines whether there is an association between race and patient ED visit type with the application of four-point mechanical restraints in a high acuity safety-net urban academic hospital.

METHODS

The study retrospectively reviewed 198,610 visits to the ED at Boston Medical Center made by patients between 18 and 89 years old between May 1, 2014 and May 1, 2019. ED visit type was categorized based on primary billing code for the visit as either medical or behavioral; behavioral visits were further categorized into 5 groups based on corresponding primary psychiatric billing code category. The relationships between race/ethnicity and four-point mechanical restraints were analyzed using binary logistic regression models in SPSS.

RESULTS

1.4% of unique visits involved the use of four-point mechanical restraints. Patients with a behavioral visit were significantly over 16 times more likely to be restrained than those with a medical visit. Black patients were significantly more likely to be restrained than white patients for behavioral visits but less likely for medical visits. Black and Hispanic patients were also significantly more likely to be restrained for a behavioral visit regardless of psychiatric diagnosis. Asian patients were less likely to be restrained regardless of ED visit type.

CONCLUSIONS

Significant racial differences in restraints for White patients with medical visits and Black and Hispanic patients with behavioral visits prompts further investigation on the role of clinician bias when managing acute patients.

Regression with race-modifiers: towards equity and interpretability

The pervasive effects of structural racism and racial discrimination are well-established and offer strong evidence that the effects of many important variables on health and life outcomes vary by race. Alarmingly, standard practices for statistical regression analysis introduce racial biases into the estimation and presentation of these race-modified effects. We advocate abundance-based constraints (ABCs) to eliminate these racial biases. ABCs offer a remarkable invariance property: estimates and inference for main effects are nearly unchanged by the inclusion of race-modifiers. Thus, quantitative researchers can estimate race-specific effects "for free"-without sacrificing parameter interpretability, equitability, or statistical efficiency. The benefits extend to prominent statistical learning techniques, especially regularization and selection. We leverage these tools to estimate the joint effects of environmental, social, and other factors on 4th end-of-grade readings scores for students in North Carolina (n = 27,638) and identify race-modified effects for racial (residential) isolation, PM2.5 exposure, and mother's age at birth.

Exploring ethnicity dynamics in Wales: a longitudinal population-scale linked data study and development of a harmonised ethnicity spine

OBJECTIVE

This study aims to create a national ethnicity spine based on all available ethnicity records in linkable anonymised electronic health record and administrative data sources.

DESIGN

A longitudinal study using anonymised individual-level population-scale ethnicity data from 26 data sources available within the Secure Anonymised Information Linkage Databank.

SETTING

The national ethnicity spine is created based on longitudinal national data for the population of Wales-UK over 22 years (between 2000 and 2021).

PROCEDURE AND PARTICIPANTS

A total of 46 million ethnicity records for 4 297 694 individuals have been extracted, harmonised, deduplicated and made available within a longitudinal research ready data asset.

OUTCOME MEASURES

(1) Comparing the distribution of ethnicity records over time for four different selection approaches (latest, mode, weighted mode and composite) across age bands, sex, deprivation quintiles, health board and residential location and (2) distribution and completeness of records against the ONS census 2011.

RESULTS

The distribution of the dominant group (white) is minimally affected based on the four different selection approaches. Across all other ethnic group categorisations, the mixed group was most susceptible to variation in distribution depending on the selection approach used and varied from a 0.6% prevalence across the latest and mode approach to a 1.1% prevalence for the weighted mode, compared with the 3.1% prevalence for the composite approach. Substantial alignment was observed with ONS 2011 census with the Latest group method (kappa=0.68, 95% CI (0.67 to 0.71)) across all subgroups. The record completeness rate was over 95% in 2021.

CONCLUSION

In conclusion, our development of the population-scale ethnicity spine provides robust ethnicity measures for healthcare research in Wales and a template which can easily be deployed in other trusted research environments in the UK and beyond.

Racial and Ethnic Patient Care Disparities in Anesthesiology: History, Current State, and a Way Forward

Disparities in patient care and outcomes are well-documented in medicine but have received comparatively less attention in anesthesiology. Those disparities linked to racial and ethnic identity are pervasive, with compelling evidence in operative anesthesiology, obstetric anesthesiology, pain medicine, and critical care. This narrative review presents an overview of disparities in perioperative patient care that is grounded in historical context followed by potential solutions for mitigating disparities and inequities.

Incorporating Anti-racist Principles Throughout the Research Lifecycle: A Position Statement from the Society of General Internal Medicine (SGIM)

Biomedical research has advanced medicine but also contributed to widening racial and ethnic health inequities. Despite a growing acknowledgment of the need to incorporate anti-racist objectives into research, there remains a need for practical guidance for recognizing and addressing the influence of ingrained practices perpetuating racial harms, particularly for general internists. Through a review of the literature, and informed by the Research Lifecycle Framework, this position statement from the Society of General Internal Medicine presents a conceptual framework suggesting multi-level systemic changes and strategies for researchers to incorporate an anti-racist perspective throughout the research lifecycle. It begins with a clear assertion that race and ethnicity are socio-political constructs that have important consequences on health and health disparities through various forms of racism. Recommendations include leveraging a comprehensive approach to integrate anti-racist principles and acknowledging that racism, not race, drives health inequities. Individual researchers must acknowledge systemic racism's impact on health, engage in self-education to mitigate biases, hire diverse teams, and include historically excluded communities in research. Institutions must provide clear guidelines on the use of race and ethnicity in research, reject stigmatizing language, and invest in systemic commitments to diversity, equity, and anti-racism. National organizations must call for race-conscious research standards and training, and create measures to ensure accountability, establishing standards for race-conscious research for research funding. This position statement emphasizes our collective responsibility to combat systemic racism in research, and urges a transformative shift toward anti-racist practices throughout the research cycle.

Changes in Spirometry Interpretative Strategies: Implications for Classifying COPD and Predicting Exacerbations

BACKGROUND

Recent guidelines for spirometry interpretation recommend both race-neutral reference equations and use of z score thresholds to define severity of airflow obstruction.

RESEARCH QUESTION

How does the transition from race-specific to race-neutral equations impact severity classifications for patients with COPD when using % predicted vs z score thresholds, and do changes in severity correspond to clinical risk?

STUDY DESIGN AND METHODS

This retrospective cohort study included Black and White patients with COPD and available spirometry from the Johns Hopkins Health System. Global Lung Function Initiative (GLI) 2012 (race-specific) equations and GLI Global (race-neutral) equations were used to determine FEV1 % predicted and z score values. Patients were classified as having mild, moderate, or severe disease according to % predicted or z score thresholds. Associations between a change in severity classification from race-specific to race-neutral with COPD exacerbations and all-cause hospitalizations were evaluated using logistic regression.

RESULTS

This cohort included 13,324 patients, of whom 9,232 patients (69.3%) were White (mean age, 65.7 years) and 4,092 patients (30.7%) were Black (mean age, 61.1 years). More Black than White patients showed a change in severity classification between approaches when using % predicted thresholds (20.2% vs 6.1%; P < .001), but not with z score thresholds (12.6% vs 12.3%; P = .68). An increased severity classification with a race-neutral approach was associated with increased risk of exacerbation when using z score thresholds (OR, 2.34; 95% CI, 1.51-3.63), but not when using % predicted thresholds (OR, 1.08; 95% CI, 0.61-1.93). A decreased severity classification with a race-neutral approach was associated with lower risk of exacerbation with both % predicted (OR, 0.49; 95% CI, 0.28-0.87) and z score (OR 0.67; 95% CI, 0.50-0.90) thresholds.

INTERPRETATION

The proportions of Black and White individuals reclassified were similar with z score thresholds, and changes in severity corresponded to clinical risk with z scores. These results support recent recommendations for use of race-neutral equations and z score thresholds for spirometry interpretation.

The Impact of Social Vulnerability on Structural and Functional Glaucoma Severity, Worsening, and Variability

PURPOSE

To determine the associations between social vulnerability index (SVI) and baseline severity, worsening, and variability of glaucoma, as assessed by visual field (VF) and OCT.

DESIGN

Retrospective longitudinal cohort study.

PARTICIPANTS

Adults with glaucoma or glaucoma suspect status in 1 or both eyes. Visual fields were derived from 7897 eyes from 4482 patients, while OCTs were derived from 6271 eyes from 3976 patients. All eyes had a minimum of 5 tests over follow-up using either the Humphrey Field Analyzer or the Cirrus HD-OCT.

METHODS

Social vulnerability index, which measures neighborhood-level environmental factors, was linked to patients' addresses at the census tract level. Rates of change in mean deviation (MD) and retinal nerve fiber layer (RNFL) thickness were computed using linear regression. The slope of the regression line was used to assess worsening, while the standard deviation of residuals was used as a measure of variability. Multivariable linear mixed-effects models were used to investigate the impact of SVI on baseline, worsening, and variability in both MD and RNFL. We further explored the interaction effect of mean intraocular pressure (IOP) and SVI on worsening in MD and RNFL.

MAIN OUTCOME MEASURES

Glaucoma severity defined based on baseline MD and RNFL thickness. Worsening defined as MD and RNFL slope. Variability defined as the standard deviation of the residuals obtained from MD and RNFL slopes.

RESULTS

Increased (worse) SVI was significantly associated with worse baseline MD (β = -1.07 dB, 95% confidence interval [CI]: [-1.54, -0.60]), thicker baseline RNFL (β = 2.46 μm, 95% CI: [0.75, 4.17]), greater rates of RNFL loss (β = -0.12 μm, 95% CI: [-0.23, -0.02]), and greater VF variability (β = 0.16 dB, 95% CI: [0.07, 0.24]). Having worse SVI was associated with worse RNFL loss with increases in IOP (βinteraction = -0.07, 95% CI: [-0.12, -0.02]).

CONCLUSIONS

Increased SVI score is associated with worse functional (VF) loss at baseline, higher rates of structural (OCT) worsening over time, higher VF variability, and a greater effect of IOP on RNFL loss. Further studies are needed to enhance our understanding of these relationships and establish their cause.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Racial and ethnic associations with comprehensive cancer center access and clinical trial enrollment for acute leukemia

BACKGROUND

Clinical trial participation at Comprehensive Cancer Centers (CCC) is inequitable for minoritized racial and ethnic groups with acute leukemia. CCCs care for a high proportion of adults with acute leukemia. It is unclear if participation inequities are due to CCC access, post-access enrollment, or both.

METHODS

We conducted a retrospective cohort study of adults with acute leukemia (2010-2019) residing within Massachusetts, the designated catchment area of the Dana-Farber/Harvard Cancer Center (DF/HCC). Individuals were categorized as non-Hispanic Asian (NHA), Black (NHB), White (NHW), Hispanic White (HW), or Other. Decomposition analyses assessed covariate contributions to disparities in (1) access to DF/HCC care and (2) post-access enrollment.

RESULTS

Of 3698 individuals with acute leukemia, 85.9% were NHW, 4.5% HW, 4.3% NHB, 3.7% NHA, and 1.3% Other. Access was lower for HW (age- and sex-adjusted OR = 0.64, 95% CI = 0.45 to 0.90) and reduced post-access enrollment for HW (aOR = 0.54, 95% CI =0.34 to 0.86) and NHB (aOR = 0.60, 95% CI = 0.39 to 0.92) compared to NHW. Payor and socioeconomic status (SES) accounted for 25.2% and 21.2% of the +1.1% absolute difference in HW access. Marital status and SES accounted for 8.0% and 7.0% of the -8.8% absolute disparity in HW enrollment; 76.4% of the disparity was unexplained. SES and marital status accounted for 8.2% and 7.1% of the -9.1% absolute disparity in NHB enrollment; 73.0% of the disparity was unexplained.

CONCLUSIONS

A substantial proportion of racial and ethnic inequities in acute leukemia trial enrollment at CCCs are from post-access enrollment, the majority of which was not explained by sociodemographic factors.

Association between language discordance and unplanned hospital readmissions or emergency department revisits: a systematic review and meta-analysis

BACKGROUND AND OBJECTIVE

Studies conflict about whether language discordance increases rates of hospital readmissions or emergency department (ED) revisits for adult and paediatric patients. The literature was systematically reviewed to investigate the association between language discordance and hospital readmission and ED revisit rates.

DATA SOURCES

Searches were performed in PubMed, Embase and Google Scholar on 21 January 2021, and updated on 27 October 2022. No date or language limits were used.

STUDY SELECTION

Articles that (1) were peer-reviewed publications; (2) contained data about patient or parental language skills and (3) included either unplanned hospital readmission or ED revisit as one of the outcomes, were screened for inclusion. Articles were excluded if: unavailable in English; contained no primary data or inaccessible in a full-text form (eg, abstract only).

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently extracted data using Preferred Reporting Items for Systematic Reviews and Meta-Analyses-extension for scoping reviews guidelines. We used the Newcastle-Ottawa Scale to assess data quality. Data were pooled using DerSimonian and Laird random-effects models. We performed a meta-analysis of 18 adult studies for 28-day or 30-day hospital readmission; 7 adult studies of 30-day ED revisits and 5 paediatric studies of 72-hour or 7-day ED revisits. We also conducted a stratified analysis by whether access to interpretation services was verified/provided for the adult readmission analysis.

MAIN OUTCOMES AND MEASURES

Odds of hospital readmissions within a 28-day or 30-day period and ED revisits within a 7-day period.

RESULTS

We generated 4830 citations from all data sources, of which 49 (12 paediatric; 36 adult; 1 with both adult and paediatric) were included. In our meta-analysis, language discordant adult patients had increased odds of hospital readmissions (OR 1.11, 95% CI 1.04 to 1.18). Among the 4 studies that verified interpretation services for language discordant patient-clinician interactions, there was no difference in readmission (OR 0.90, 95% CI 0.77 to 1.05), while studies that did not specify interpretation service access/use found higher odds of readmission (OR 1.14, 95% CI 1.06 to 1.22). Adult patients with a non-dominant language preference had higher odds of ED revisits (OR 1.07, 95% CI 1.004 to 1.152) compared with adults with a dominant language preference. In 5 paediatric studies, children of parents language discordant with providers had higher odds of ED revisits at 72 hours (OR 1.12, 95% CI 1.05 to 1.19) and 7 days (OR 1.02, 95% CI 1.01 to 1.03) compared with patients whose parents had language concordant communications.

DISCUSSION

Adult patients with a non-dominant language preference have more hospital readmissions and ED revisits, and children with parents who have a non-dominant language preference have more ED revisits. Providing interpretation services may mitigate the impact of language discordance and reduce hospital readmissions among adult patients.

PROSPERO REGISTRATION NUMBER

CRD42022302871.

Evaluation of Reliability Between Race and Ethnicity Data Obtained from Self-report Versus Electronic Health Record

INTRODUCTION

Disparities based on perceived race and ethnicity exist in all fields of medicine. Accurate data collection is crucial to addressing these disparities, yet few studies have evaluated the validity of data gathered. This study compares self-reported race and ethnicity data, considered the gold standard, with data documented in the electronic health record (EHR), to assess the validity of that data.

METHODS

Data from self-reported questionnaires was collected from adolescents admitted to a psychiatric inpatient unit from February 2019 to July 2022. Demographic questionnaires were self-administered as part of a larger battery completed during the admission process. Data was compared to demographic information collected from the hospital's EHR for the same patients and time.

RESULTS

In a sample of 1191 patients (ages 11-18, 61.9% female, 89% response rate), substantial agreement was observed for Hispanic ethnicity (κ = 0.64), while agreement for specific racial groups ranged from slight to substantial (κ = 0.10-0.63). In addition, it was noted that there was discrepancy between multiracial identification, with 17.1% of patients identifying as more than one race in self-reported data compared to 3.1% in EHR data.

CONCLUSIONS

The findings from this data set highlight the need for caution when using EHR data to draw conclusions about health disparities. It also suggests that the method of data collection meaningfully influences the responses patients provide. Addressing these challenges is essential for advancing equitable healthcare and mitigating disparities among patients.

Improving Clinical Documentation with Artificial Intelligence: A Systematic Review

Clinicians dedicate significant time to clinical documentation, incurring opportunity cost. Artificial Intelligence (AI) tools promise to improve documentation quality and efficiency. This systematic review overviews peer-reviewed AI tools to understand how AI may reduce opportunity cost. PubMed, Embase, Scopus, and Web of Science databases were queried for original, English language research studies published during or before July 2024 that report a new development, application, and validation of an AI tool for improving clinical documentation. 129 studies were extracted from 673 candidate studies. AI tools improve documentation by structuring data, annotating notes, evaluating quality, identifying trends, and detecting errors. Other AI-enabled tools assist clinicians in real-time during office visits, but moderate accuracy precludes broad implementation. While a highly accurate end-to-end AI documentation assistant is not currently reported in peer-reviewed literature, existing techniques such as structuring data offer targeted improvements to clinical documentation workflows.

Epidemiology and prevalence of dementia and Alzheimer's disease in American Indians: Data from the Strong Heart Study

INTRODUCTION

Accurate epidemiologic estimates for dementia are lacking for American Indians, despite substantive social and health disparities.

METHODS

The Strong Heart Study, a population-based cohort of 11 American Indian tribes, conducted detailed cognitive testing and examinations over two visits approximately 7 years apart. An expert panel reviewed case materials for consensus adjudication of cognitive status (intact; mild cognitive impairment [MCI]; dementia; other impaired/not MCI) and probable etiology (Alzheimer's disease [AD], vascular bain injury [VBI], traumatic brain injury [TBI], other).

RESULTS

American Indians aged 70-95 years had 54% cognitive impairment including 10% dementia. VBI and AD were primary etiology approximately equal proportions (>40%). Apolipoprotein (APO) Eε4 carriers were more common among those with dementia (p = 0.040). Plasma pTau, glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) were higher among those with cognitive impairment, but not amyloid beta (Aβ). Cognitive intact had mean 3MSE 92.2 (SD 6.4) and mean Montreal Cognitive Assessment (MoCA) score of 21.3 (SD 3.2).

DISCUSSION

This is the first population-based study to estimate the prevalence of vascular and Alzheimer's dementias in a population-based study of American Indians.

HIGHLIGHTS

The Strong Heart Study is a population-based cohort of American Indian tribes, conducted over 30+ years and three US geographic regions (Northern Plains, Southern Plains, Southwest). Our teams conducted detailed cognitive testing, neurological examination, and brain imaging over two visits approximately 7 years apart. An expert panel reviewed collected materials for consensus-based adjudication of cognitive status (intact; MCI; dementia; other impaired/not MCI) and probable underlying etiology (AD; VBI; TBI; other). In this cohort of American Indians aged 70-95, 54% were adjudicated with cognitive impairment, including approximately 35% MCI and 10% dementia. These data expand on prior reports from studies using electronic health records, which had suggested prevalence, and incidence of dementia in American Indians to be more comparable to the majority population or non-Hispanic White individuals, perhaps due to latent case undercounts in clinical settings. Vascular and neurodegenerative injuries were approximately equally responsible for cognitive impairment, suggesting that reduction of cardiovascular disease is needed for primary prevention. Traumatic injury was more prevalent than in other populations, and common among those in the "other/not MCI" cognitive impairment category. Mean scores for common dementia screening instruments-even among those adjudicated as unimpaired-were relatively low compared to other populations (mean unimpaired 3MSE 92.2, SD 6.4; mean unimpaired MoCA 21.3, SD 3.2), suggesting the need for cultural and environmental adaptation of common screening and evaluation instruments.

Improving Clinical Documentation with Artificial Intelligence: A Systematic Review

Clinicians dedicate significant time to clinical documentation, incurring opportunity cost. Artificial Intelligence (AI) tools promise to improve documentation quality and efficiency. This systematic review overviews peer-reviewed AI tools to understand how AI may reduce opportunity cost. PubMed, Embase, Scopus, and Web of Science databases were queried for original, English language research studies published during or before July 2024 that report a new development, application, and validation of an AI tool for improving clinical documentation. 129 studies were extracted from 673 candidate studies. AI tools improve documentation by structuring data, annotating notes, evaluating quality, identifying trends, and detecting errors. Other AI-enabled tools assist clinicians in real-time during office visits, but moderate accuracy precludes broad implementation. While a highly accurate end-to-end AI documentation assistant is not currently reported in peer-reviewed literature, existing techniques such as structuring data offer targeted improvements to clinical documentation workflows.

Implementing paper-based patient-reported outcome collection within outpatient integrative health and medicine

OBJECTIVE

To investigate the feasibility of pre- and post-encounter patient-reported outcome (PRO) measure collection within an outpatient integrative health and medicine (IHM) clinic and to characterize factors associated with successful completion.

METHODS

We conducted a retrospective review of 27,464 outpatient IHM encounters including 9,520 chiropractic; 8,237 acupuncture; 5,847 massage; 2,345 IHM consultation; and 1,515 osteopathic manipulation treatment encounters at four clinics offering IHM over 18 months. Patients were asked to complete paper questionnaires rating pain, anxiety, and stress from 0-10 immediately pre- and post-encounter. Generalized linear mixed effect regression models were used to examine the relationship between demographic, clinical, and operational covariates and completing (1) pre-encounter and (2) paired (i.e., pre and post) PROs.

RESULTS

Patients (N = 5587, mean age 49 years, 74% white, 77% female) generally presented for musculoskeletal conditions (81.7%), with a chief complaint of pain (55.1%). 21,852 (79.6%) encounters were among patients who completed pre-encounter PROs; 11,709/21,852 (53.6%) completed subsequent post-encounter PROs. Odds of PRO completion were more impacted by provider, operational, and clinical-level factors than patient factors. Covariates associated with increased odds of pre-encounter PRO completion included being female, having additional IHM encounters, and having a pain or anxiety complaint. Covariates associated with increased odds of paired PRO completion included being aged 31-40 vs. 51-60 years and having additional IHM encounters.

CONCLUSION

Implementing a paper-based PRO collection system in outpatient IHM is feasible; however, collecting post-encounter PROs was challenging. Future endeavors should leverage the electronic health record and patient portals to optimize PRO collection and engage patients and clinical providers.

Leveraging Novel Clinical Decision Support to Improve Preferred Language Documentation in a Neonatal Intensive Care Unit

BACKGROUND

 Recognition of the patient and family's diverse backgrounds and language preference is critical for communicating effectively. In our hospital's electronic health record, a patient or family's identified language for communication is documented in a discrete field known as "preferred language." This field serves as an interdepartmental method to identify patients with a non-English preferred language, creating a bolded banner for non-English speakers easily identifiable by health care professionals. Despite the importance of documenting preferred language to facilitate equitable care, this field is often blank.

OBJECTIVES

 Using the Institute for Healthcare Improvement's Model for Improvement, our team sought to increase preferred language documentation within the neonatal intensive care unit (NICU) from a baseline of 74% in September 2021 to above 90% within 6 months.

METHODS

 A multidisciplinary team was assembled to address preferred language documentation. Our team incorporated guidance regarding preferred language documentation into a novel clinical decision support (CDS) tool aimed at addressing various safety and quality measures within the NICU. Our primary outcome metric was documentation of family's preferred language. Process measures included overall compliance with the CDS tool. A secondary outcome was the assessment of preferred language documentation accuracy.

RESULTS

 The average rate of preferred language documentation increased from a baseline of 74 to 92% within 6 months and is currently sustained at 96%. Moreover, our follow-up assessments found that 100% of a random sample of contacted patients (n = 88) had their language preferences documented correctly. Overall compliance with the CDS tool remained at 85% throughout the project.

CONCLUSION

 Using a quality improvement framework coupled with a CDS initiative, our team was able to successfully and accurately improve preferred language documentation in our NICU. Future projects include strategies for more equitable care for patients with non-English preferences such as improved interpreter usage and discharge instructions in their preferred language.

Ascertaining the Francophone population in Ontario: validating the language variable in health data

BACKGROUND

Language barriers can impact health care and outcomes. Valid and reliable language data is central to studying health inequalities in linguistic minorities. In Canada, language variables are available in administrative health databases; however, the validity of these variables has not been studied. This study assessed concordance between language variables from administrative health databases and language variables from the Canadian Community Health Survey (CCHS) to identify Francophones in Ontario.

METHODS

An Ontario combined sample of CCHS cycles from 2000 to 2012 (from participants who consented to link their data) was individually linked to three administrative databases (home care, long-term care [LTC], and mental health admissions). In total, 27,111 respondents had at least one encounter in one of the three databases. Language spoken at home (LOSH) and first official language spoken (FOLS) from CCHS were used as reference standards to assess their concordance with the language variables in administrative health databases, using the Cohen kappa, sensitivity, specificity, positive predictive value (PPV), and negative predictive values (NPV).

RESULTS

Language variables from home care and LTC databases had the highest agreement with LOSH (kappa = 0.76 [95%CI, 0.735-0.793] and 0.75 [95%CI, 0.70-0.80], respectively) and FOLS (kappa = 0.66 for both). Sensitivity was higher with LOSH as the reference standard (75.5% [95%CI, 71.6-79.0] and 74.2% [95%CI, 67.3-80.1] for home care and LTC, respectively). With FOLS as the reference standard, the language variables in both data sources had modest sensitivity (53.1% [95%CI, 49.8-56.4] and 54.1% [95%CI, 48.3-59.7] in home care and LTC, respectively) but very high specificity (99.8% [95%CI, 99.7-99.9] and 99.6% [95%CI, 99.4-99.8]) and predictive values. The language variable from mental health admissions had poor agreement with all language variables in the CCHS.

CONCLUSIONS

Language variables in home care and LTC health databases were most consistent with the language often spoken at home. Studies using language variables from administrative data can use the sensitivity and specificity reported from this study to gauge the level of mis-ascertainment error and the resulting bias.

Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias

BACKGROUND

Alzheimer's disease and related dementias (ADRD) affect over 55 million globally. Current clinical trials suffer from low recruitment rates, a challenge potentially addressable via natural language processing (NLP) technologies for researchers to effectively identify eligible clinical trial participants.

OBJECTIVE

This study investigates the sociotechnical feasibility of NLP-driven tools for ADRD research prescreening and analyzes the tools' cognitive complexity's effect on usability to identify cognitive support strategies.

METHODS

A randomized experiment was conducted with 60 clinical research staff using three prescreening tools (Criteria2Query, Informatics for Integrating Biology and the Bedside [i2b2], and Leaf). Cognitive task analysis was employed to analyze the usability of each tool using the Health Information Technology Usability Evaluation Scale. Data analysis involved calculating descriptive statistics, interrater agreement via intraclass correlation coefficient, cognitive complexity, and Generalized Estimating Equations models.

RESULTS

Leaf scored highest for usability followed by Criteria2Query and i2b2. Cognitive complexity was found to be affected by age, computer literacy, and number of criteria, but was not significantly associated with usability.

DISCUSSION

Adopting NLP for ADRD prescreening demands careful task delegation, comprehensive training, precise translation of eligibility criteria, and increased research accessibility. The study highlights the relevance of these factors in enhancing NLP-driven tools' usability and efficacy in clinical research prescreening.

CONCLUSION

User-modifiable NLP-driven prescreening tools were favorably received, with system type, evaluation sequence, and user's computer literacy influencing usability more than cognitive complexity. The study emphasizes NLP's potential in improving recruitment for clinical trials, endorsing a mixed-methods approach for future system evaluation and enhancements.

Screening tools to address social determinants of health in the United States: A systematic review

The Centers for Medicare & Medicaid Services have mandated that hospitals implement measures to screen social determinants of health (SDoH). We sought to report on available SDoH screening tools. PubMed, Scopus, Web of Science, as well as the grey literature were searched (1980 to November 2023). The included studies were US-based, written in English, and examined a screening tool to assess SDoH. Thirty studies were included in the analytic cohort. The number of questions in any given SDoH assessment tool varied considerably and ranged from 5 to 50 (mean: 16.6). A total of 19 SDoH domains were examined. Housing (n = 23, 92%) and safety/violence (n = 21, 84%) were the domains assessed most frequently. Food/nutrition (n = 17, 68%), income/financial (n = 16, 64%), transportation (n = 15, 60%), family/social support (n = 14, 56%), utilities (n = 13, 52%), and education/literacy (n = 13, 52%) were also commonly included domains in most screening tools. Eighteen studies proposed specific interventions to address SDoH. SDoH screening tools are critical to identify various social needs and vulnerabilities to help develop interventions to address patient needs. Moreover, there is marked heterogeneity of SDoH screening tools, as well as the significant variability in the SDoH domains assessed by currently available screening tools.

Regression with race-modifiers: towards equity and interpretability

The pervasive effects of structural racism and racial discrimination are well-established and offer strong evidence that the effects of many important variables on health and life outcomes vary by race. Alarmingly, standard practices for statistical regression analysis introduce racial biases into the estimation and presentation of these race-modified effects. We introduce abundance-based constraints (ABCs) to eliminate these racial biases. ABCs offer a remarkable invariance property: estimates and inference for main effects are nearly unchanged by the inclusion of race-modifiers. Thus, quantitative researchers can estimate race-specific effects "for free"-without sacrificing parameter interpretability, equitability, or statistical efficiency. The benefits extend to prominent statistical learning techniques, especially regularization and selection. We leverage these tools to estimate the joint effects of environmental, social, and other factors on 4th end-of-grade readings scores for students in North Carolina (n = 27, 638) and identify race-modified effects for racial (residential) isolation, PM2.5 exposure, and mother's age at birth.

Accuracy of patient race and ethnicity data in a central cancer registry

PURPOSE

Race and Hispanic ethnicity data can be challenging for central cancer registries to collect. We evaluated the accuracy of the race and Hispanic ethnicity variables collected by the Utah Cancer Registry compared to self-report.

METHODS

Participants were 3,162 cancer survivors who completed questionnaires administered in 2015-2022 by the Utah Cancer Registry. Each survey included separate questions collecting race and Hispanic ethnicity, respectively. Registry-collected race and Hispanic ethnicity were compared to self-reported values for the same individuals. We calculated sensitivity and specificity for each race category and Hispanic ethnicity separately.

RESULTS

Survey participants included 323 (10.2%) survivors identifying as Hispanic, a lower proportion Hispanic than the 12.1% in the registry Hispanic variable (sensitivity 88.2%, specificity 96.5%). For race, 43 participants (1.4%) self-identified as American Indian or Alaska Native (AIAN), 32 (1.0%) as Asian, 23 (0.7%) as Black or African American, 16 (0.5%) Pacific Islander (PI), and 2994 (94.7%) as White. The registry race variable classified a smaller proportion of survivors as members of each of these race groups except White. Sensitivity for classification of race as AIAN was 9.3%, Asian 40.6%, Black 60.9%, PI 25.0%, and specificity for each of these groups was > 99%. Sensitivity and specificity for White were 98.8% and 47.4%.

CONCLUSION

Cancer registry race and Hispanic ethnicity data often did not match the individual's self-identification. Of particular concern is the high proportion of AIAN individuals whose race is misclassified. Continued attention should be directed to the accurate capture of race and ethnicity data by hospitals.

Unique Breast Cancer Screening Disparities in a Safety-Net Health System

INTRODUCTION

Breast cancer screening (BCS) disparities leave historically underserved groups more vulnerable to adverse outcomes. This study explores granular associations between BCS and patient sociodemographic factors in a large urban safety-net health system.

METHODS

A retrospective review among female patients ages 50-74 within an urban safety-net health system was conducted in 2019. All patients had a primary care visit in the past 2 years. Multiple patient health and sociodemographic characteristics were reviewed, as well as provider gender and specialty. Bivariate analyses and multivariable logistic regression were performed in 2022.

RESULTS

The BCS rate among 11,962 women was 69.7%. Over half of patients were non-White (63.6%) and had public insurance (72.3%). Patients with limited English proficiency made up 44.3% of the cohort. Compared to their sociodemographic counterparts, patients with White race, English proficiency, and Medicare insurance had the lowest rates of BCS. Serious mental illness and substance use disorder were associated with lower odds of BCS. In multivariable analysis, when using White race and English speakers as a reference, most other races (Black, Hispanic, and Other) and languages (Spanish, Portuguese, and Other) had significantly higher odds of screening ranging from 8% to 63% higher, except Asian race and Haitian Creole language. Female (versus male) and internal medicine-trained providers were associated with higher screening odds.

CONCLUSIONS

Multiple unique variables contribute to BCS disparities, influenced by patient and health system factors. Defining and understanding the interplay of these variables can guide policymaking and identify avenues to improve BCS for vulnerable or traditionally under-resourced populations.

Development of an Equity, Diversity, and Inclusion Committee for a collaborative quality improvement network: Pediatric Cardiac Critical Care Consortium (PC4) Equity, Diversity and Inclusion (EDI) Committee: white paper 2023

Racial and ethnic disparities are well described in paediatric cardiac critical care outcomes. However, understanding the mechanisms behind these outcomes and implementing interventions to reduce and eliminate disparities remain a gap in the field of paediatric cardiac critical care. The Pediatric Cardiac Critical Care Consortium (PC4) established the Equity, Diversity, and Inclusion (EDI) Committee in 2020 to promote an equity lens to its aim of improving paediatric cardiac critical care quality and outcomes across North America. The PC4 EDI Committee is working to increase research, quality improvement, and programming efforts to work towards health equity. It also aims to promote health equity considerations in PC4 research. In addition to a focus on patient outcomes and research, the committee aims to increase the inclusion of Black, Indigenous, and People of Color (BIPOC) members in the PC4 collaborative. The following manuscript outlines the development, structure, and aims of the PC4 EDI Committee and describes an analysis of social determinants of health in published PC4 research.

Race and Ethnic Representation in Crohn's Disease Trials of Biologic and Small Molecule Medications: A Systematic Review and Meta-analysis

BACKGROUND AND AIMS

Randomised controlled trials historically under-represent marginalised racial and ethnic populations. As incidence and prevalence of Crohn's disease in these groups rise, it is important to characterise their inclusion in randomised controlled trials on first-line and pipe-line medications.

METHODS

PubMed was searched systematically for randomised controlled trials of biologic and small molecule inhibitor [SMI] medications, with a primary outcome related to efficacy following PRISMA guidelines. We used descriptive statistics to summarise demographic variables and meta-regression analyses to estimate temporal trends in racial inclusion.

RESULTS

More than a half of trials did not report any racial/ethnic demographics [53.7%] and several reported racial demographics for only one race [20.9%]. When racial data were reported, Whites made up 90.2% of participants. Percentages of Black, Asian, Native American/Pacific Islander, and participants considered 'Other' averaged 2.9%, 11.6%, 0.5%, and 1.6% out of the total sample sizes of 3901, 3742, 828 and 4027, respectively. Proportional representation of White participants decreased over time [p <0.01] and proportional representation of Asian participants increased over time [p = 0.047]. In ordinal logistic regression, mean year of trial enrolment significantly increased the number of racial groups reported [p <0.001].

CONCLUSIONS

Half of published randomised controlled trials in Crohn's disease contain no racial or ethnic demographics, and the remaining often only have limited inclusion of Black, Native American/Pacific Islander, and Hispanic patients. Further work should characterise representation in observational and prospective trials. Researchers should work to: 1] increase reporting of racial and ethnic demographics; and 2] improve recruitment and retention of marginalised populations.

Pediatric oral food challenges in the outpatient setting: A single-center experience

Background

Oral food challenge (OFC) is the criterion standard for diagnosing food allergy (FA). It is important to have parameters to aid in selecting ideal OFC candidates.

Objective

We sought to characterize outcomes and predictors of OFCs for common food allergens.

Methods

We completed a retrospective chart review of all OFCs for IgE-mediated FA performed at Duke University pediatric allergy clinics from June 2017 through May 2022. Patients were deemed eligible for milk, egg, and nut OFC if testing revealed a specific IgE level not exceeding 2 kU/L and a skin prick test (SPT) resulting in a wheal size not exceeding 5 mm. Different parameters were followed for selecting candidates for baked challenge.

Results

A total of 663 OFCs were conducted on 510 patients (59% male). The most common foods challenged were peanut (26%), plain egg (23%), baked egg (8%), and milk (8%), with pass rates of 84%, 88%, 62%, and 84%, respectively. Of the patients who failed OFC, 84% had objective symptoms, 23% had multisystemic reactions, and 15% required epinephrine. Although the presence of a personal or family history of atopy or prior failed OFC was not associated with outcomes, a history of anaphylaxis (regardless of the trigger) was associated with increased risk of failure.

Conclusion

Although there are no established consensus guidelines, our study provides a benchmark illustrating that cutoffs of a specific IgE level not exceeding 2 kU/L and SPT finding not exceeding 5 mm result in a failure rate of approximately 13% for nonbaked milk, nonbaked egg, and nuts. The high rate of failed baked egg OFCs is likely related to selection bias, but our results illustrate the low negative predictive value of ovomucoid.