Discrepancies in Race and Ethnicity in the Electronic Health Record Compared to Self-report

An incomplete picture: A scoping review of how scholars account for race and ethnicity in family homelessness research

Families of color in the United States experience homelessness at a disproportionately higher rate than White families; however, little is known about how scholars account for race and ethnicity in family homelessness research. This scoping review analyzes how researchers examine race and ethnicity in conceptual frameworks, methods, and analysis. Following PRISMA-ScR reporting standards, I searched PubMed, PsycINFO, Scopus, and ERIC for quantitative studies including a housing outcome for homeless service-involved families. I used Covidence to screen for inclusion and extract data, and QuADS to evaluate study quality. Fourteen studies met inclusion criteria. Researchers' articles lacked theory and the context of racism, lacked detail on how race and ethnicity were conceptualized and operationalized, and most (71%) did not disaggregate results. Without putting data within the context of systemic racism and disaggregating outcomes, research will produce incomplete knowledge on family homelessness, leading to ineffective interventions for families of color.

Error Rates in Race and Ethnicity Designation Across Large Pediatric Health Systems

Importance

Without knowledge of the degree of misattribution in racial and ethnic designations in data, studies run the risk of missing existing inequities and disparities and identifying others that do not exist. Further, accuracy of racial and ethnic designations is important to clinical care improvement efforts and health outcomes.

Objective

To determine the error rate of racial and ethnic attribution in the electronic medical records (EMRs) across the 3 largest pediatric health systems in Michigan.

Design, Setting, and Participants

This cross-sectional study collected race and ethnicity data from parents in outpatient clinics, emergency departments, and inpatient units at the 3 largest pediatric health systems in Michigan. A total of 1594 parents or guardians participated at health system A, 1537 at health system B, and 1202 at health system C from September 1, 2023, to January 31, 2024. Parent or guardian report of race and ethnicity for a child was used as the gold standard for comparison with the designation in the EMR.

Exposure

Race and ethnicity designations in the EMR. Options for race designation across the health systems ranged from 6 to 49; options for ethnicity, from 2 to 10.

Main Outcomes and Measures

Matching occurred in 3 stages. First, the exact racial and ethnic designations made by parents for their child were compared with what was found in the EMR. Second, for any child whose parent selected more than 1 racial category or for whom more than 1 appeared in the EMR, the designation of a minoritized racial group was used for matching purposes. Third, starting with the product of stage 2, racial designations were combined or collapsed into 6 (health systems A and C) or 5 (health system B) designations.

Results

A total of 4333 survey responses were included in the analysis. The greatest error rate across the health systems occurred with the exact match of parental report of racial designation with the EMR, which ranged from 41% to 78% across the health systems. Improvement in the matching rate for each health system occurred with consolidation of race options provided. Differences between the health systems narrowed at the final consolidation to varying from 79% to 88% matching. Ethnicity matching between the EMR and the parental report ranged from 65% to 95% across the health systems. Missing race or ethnicity data in the EMR was counted as a nonmatch. Rates of missing racial data varied across the health systems from 2% to 10%. The health system with the greatest number of options for race and ethnicity had the highest error rates.

Conclusions and Relevance

Although there will always be some misattribution of race and ethnicity in the EMR, the results of this cross-sectional study suggest that significant error in these data may undermine strategies to improve care. It is unclear whether those in an organization who determine the number of potential categories are the same persons who use those data to investigate potential disparities and inequities.

Variability of Care Practices for Extremely Early Deliveries

OBJECTIVES

Assess temporal changes, intercenter variability, and birthing person (BP) factors relating to interventions for extremely early deliveries.

METHODS

Retrospective study of BPs and newborns delivered from 22-24 completed weeks at 13 US centers from 2011-2020. Rates of neonatology consultation, antenatal corticosteroids, cesarean delivery, live birth, attempted resuscitation (AR), and survival were assessed by epoch, center, and gestational age.

RESULTS

2028 BPs delivering 2327 newborns were included. Rates increased in epoch 2-at 22 weeks: neonatology consultation (37.6 vs 64.3%, P < .001), corticosteroids (11.4 vs 29.5%, P < .001), live birth (66.2 vs 78.6%, P < .001), AR (20.1 vs 36.9%, P < .001), overall survival (3.0 vs 8.9%, P = .005); and at 23 weeks: neonatology consultation (73.0 vs 80.5%, P = .02), corticosteroids (63.7 vs 83.7%, P < .001), cesarean delivery (28.0 vs 44.7%, P < .001), live birth (88.1 vs 95.1%, P < .001), AR (67.7 vs 85.2%, P < .001), survival (28.8 vs 41.6%, P < .001). Over time, intercenter variability increased at 22 weeks for corticosteroids (interquartile range 18.0 vs 42.0, P = .014) and decreased at 23 for neonatology consultation (interquartile range 23.0 vs 5.2, P = .045). In BP-level multivariate analysis, AR was associated with increasing gestational age and birth weight, Black BP race, previous premature delivery, and delivery center.

CONCLUSIONS

Intervention rates for extremely early newborns increased and intercenter variability changed over time. In BP-level analysis, factors significantly associated with AR included Black BP race, previous premature delivery, and center.

Predictors of 30-day complications, readmission, and postoperative length of stay in children undergoing autologous rib grafting for microtia

BACKGROUND

Predictors of outcomes in pediatric microtia surgery are not well understood within the current literature. A multi-institutional database study may reveal insights into these predictors.

OBJECTIVES

To explore the predictors of 30-day complications, 30-day readmission, and postoperative length of stay (PLOS) in pediatric microtia patients undergoing autologous rib grafting.

METHODS

The Pediatric National Surgical Quality Improvement Program was queried for details on patients with microtia (ICD-9/10 744.23/Q17.2) who underwent autologous rib grafting (CPT 21230) between 2012-2021. Demographics, comorbidities, inpatient status, 30-day complications, PLOS, and 30-day readmissions were analyzed. Statistical analyses were performed to compare the preoperative characteristics with postoperative outcomes.

RESULTS

Overall, 667 patients met the inclusion criteria. Sixty-three (9.4%) had at least one complication, and 19 (2.9%) were readmitted. Univariate analysis showed that inpatient status (p = 0.011) and race (p = 0.023) were associated with higher complication rates. Multivariate analysis revealed that outpatient status was associated with significantly lower odds of complications (OR: 0.49, 95% CI [0.27, 0.87], p = 0.018), and developmental delay was associated with higher odds of 30-day readmission (OR: 2.80, 95% CI [1.05, 7.17], p = 0.036). Longer operative time was associated with older age (13.9% increase per five-year age increase, p < 0.001) and inpatient status (35.3% increase, p < 0.001). PLOS was shorter for outpatients (45.45% shorter, p < 0.001) and cases performed by plastic surgeons (14.2% shorter, p < 0.001).

CONCLUSION

Microtia reconstruction using autologous cartilage is a relatively safe procedure with low complication and readmission rates. Significant predictors of postoperative outcomes include inpatient status, race, developmental delay, and age. These findings highlight the importance of considering these factors in surgical planning and patient counseling.

Hospital Accreditation Status and Treatment Differences Among Black Patients With Colon Cancer

Importance

Hospital-level factors, such as hospital type or volume, have been demonstrated to play a role in treatment disparities for Black patients with cancer. However, data evaluating the association of hospital accreditation status with differences in treatment among Black patients with cancer are lacking.

Objective

To evaluate the association of Commission on Cancer (CoC) hospital accreditation status with receipt of guideline-concordant care and mortality among non-Hispanic Black patients with colon cancer.

Design, Setting, and Participants

This population-based cohort study used the National Program of Cancer Registries, which is a multicenter database with data from all 50 states and the District of Columbia, and covers 97% of the cancer population in the US. The participants included non-Hispanic Black patients aged 18 years or older diagnosed with colon cancer between January 1, 2018, and December 31, 2020. Race and ethnicity were abstracted from medical records as recorded by health care facilities and practitioners. The data were analyzed from December 7, 2023, to January 17, 2024.

Exposure

CoC hospital accreditation.

Main Outcome and Measures

Guideline-concordant care was defined as adequate lymphadenectomy during surgery for patients with stages I to III disease or chemotherapy administration for patients with stage III disease. Multivariable logistic regression models investigated associations with receipt of guideline-concordant care and Cox proportional hazards regression models assessed associations with 3-year cancer-specific mortality.

Results

Of 17 249 non-Hispanic Black patients with colon cancer (mean [SD] age, 64.8 [12.8] years; 8724 females [50.6%]), 12 756 (74.0%; mean [SD] age, 64.7 [12.8] years) were treated at a CoC-accredited hospital and 4493 (26.0%; mean [SD] age, 65.1 [12.5] years) at a non-CoC-accredited hospital. Patients treated at CoC-accredited hospitals compared with those treated at non-CoC-accredited hospitals had higher odds of receiving guideline-concordant lymphadenectomy (adjusted odds ratio [AOR], 1.89; 95% CI, 1.69-2.11) and chemotherapy (AOR, 2.31; 95% CI, 1.97-2.72). Treatment at CoC-accredited hospitals was associated with lower cancer-specific mortality for patients with stages I to III disease who received surgery (adjusted hazard ratio [AHR], 0.87; 95% CI, 0.76-0.98) and for patients with stage III disease eligible for chemotherapy (AHR, 0.75; 95% CI, 0.59-0.96).

Conclusions and Relevance

In this cohort study of non-Hispanic Black patients with colon cancer, patients treated at CoC-accredited hospitals compared with those treated at non-CoC-accredited hospitals were more likely to receive guideline-concordant care and have lower mortality risk. These findings suggest that increasing access to high-quality guideline-concordant care at CoC-accredited hospitals may reduce variations in cancer treatment and outcomes for underserved populations.

Concordance Between Electronic Health Record-Recorded Race and Ethnicity and Patient Report in Emergency Department Patients

OBJECTIVE

We assessed the concordance of patient-reported race and ethnicity for emergency department (ED) patients compared with what was recorded in the electronic health record.

METHODS

We conducted a single-center, prospective, observational study of 744 ED patients (English- and/or Spanish-speaking), asking them to describe their race and ethnicity. We compared the distributions of ethnicity and race between patient-reported and electronic health record data using McNemar's test. We calculated percent agreement and Cohen's kappa, with 95% confidence intervals (CI), for the concordance of patient-reported race and ethnicity with electronic health record data.

RESULTS

Of 744 ED patients, 731 participants who completed the survey reported their ethnicity, resulting in 98.2% of electronic health records obtained ethnicities matched self-reported data (kappa = 0.95; 95% CI: 0.92 to 0.98). For those who self-reported as Hispanic, only 92.3% agreement was observed between the self-reported and electronic health record values. For all patients who had race recorded, 85.4% agreement was observed (kappa = 0.75; 95% CI 0.71 to 0.79). High rates of agreement were observed for Black or African American patients (98.7%) and White patients (96.6%), with low rates for those who identified as "More than one race" (22.9%) or "Other" race (1.8%). In the subset of Hispanic patients, low rates of agreement (25.0%) were observed for race (kappa = 0.10; 95% CI 0.01 to 0.19).

CONCLUSIONS

Documentation discordance regarding race and ethnicity exists between electronic health records and self-reported data for our ED patients, particularly for ethnically Hispanic and Latino/a patients. Future efforts should focus on ensuring that demographic information in the electronic health record is accurately collected.

End of life care in a level IV outborn neonatal intensive care unit

OBJECTIVE

Describe care surrounding the end of life (EOL) in the neonatal intensive care unit (NICU).

STUDY DESIGN

Retrospective chart review of 208 infants who died in a level IV referral-only NICU over 5 years.

RESULTS

A goals of care (GOC) conversation was documented before the day of death for 63% of infants. 73% died following withdrawal of life-sustaining treatment (WD); 13% died in a code. The median age at death was 17.5 days. 72% were held by a parent at EOL. 94% of families desired formal memory-making. We identified associations with mode of death and parental holding at death, including: WD was associated with palliative care consultation, early GOC conversations, and increased unit-specific length of stay. Holding was associated with chaplain visits, memory-making, and increased home-to-hospital distance.

CONCLUSION

We present a detailed description of EOL care in an outborn NICU, including novel data on parental holding and memory-making.

Anogenital HPV-Related Cancers in Women: Investigating Trends and Sociodemographic Risk Factors

The incidences of anogenital HPV-related cancers in women are on the rise; this is especially true for anal cancer. Medical societies are now beginning to recommend anal cancer screening in certain high-risk populations, including high-risk women with a history of genital dysplasia. The aim of this study is to investigate national anogenital HPV cancer trends as well as the role of demographics, deprivation, and ethnicity on anogenital cancer incidence in England, in an attempt to better understand this cohort of women which is increasingly affected by anogenital HPV-related disease. Demographic data from the Clinical Outcomes and Services Dataset (COSD) were extracted for all patients diagnosed with anal, cervical, vulval and vaginal cancer in England between 2014 and 2020. Outcomes included age, ethnicity, deprivation status and staging. An age over 55 years, non-white ethnicity and high deprivation are significant risk factors for late cancer staging, as per logistic regression. In 2019, the incidences of anal and vulval cancer in white women aged 55-74 years surpassed that of cervical cancer. More needs to be done to educate women on HPV-related disease and their lifetime risk of these conditions.

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.

Achieving Equity in EMS Care and Patient Outcomes Through Quality Management Systems: A Position Statement

Improving health and safety in our communities requires deliberate focus and commitment to equity. Inequities are differences in access, treatment, and outcomes between individuals and across populations that are systemic, avoidable, and unjust. Within health care in general, and Emergency Medical Services (EMS) in particular, there are demonstrated inequities in the quality of care provided to patients based on a number of characteristics linked to discrimination, exclusion, or bias. Given the critical role that EMS plays within the health care system, it is imperative that EMS systems reduce inequities by delivering evidence-based, high-quality care for the communities and patients we serve. To achieve equity in EMS care delivery and patient outcomes, the National Association of EMS Physicians recommends that EMS systems and agencies:make health equity a strategic priority and commit to improving equity at all levels.assess and monitor clinical and safety quality measures through the lens of inequities as an integrated part of the quality management process.ensure that data elements are structured to enable equity analysis at every level and routinely evaluate data for limitations hindering equity analysis and improvement.involve patients and community stakeholders in determining data ownership and stewardship to ensure its ongoing evolution and fitness for use for measuring care inequities.address biases as they translate into the quality of care and standards of respect for patients.pursue equity through a framework rooted in the principles of improvement science.

A systematic review of ethnic minority participation in randomised controlled trials of systemic therapies for gynecological cancers

OBJECTIVE

Randomised controlled trials (RCTs) must include ethnic minority patients to produce generalisable findings and ensure health equity as cancer incidence rises globally. This systematic review examines participation of ethnic minorities in RCTs of licensed systemic anti-cancer therapies (SACT) for gynecological cancers, defining the research population and distribution of research sites to identify disparities in participation on the global scale.

METHODS

A systematic review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Phase II and III RCTs of licensed therapies for gynecological cancers published 01/11/2012-01/11/2022 that reported patient race/ethnicity were included. Extracted data included race/ethnicity and research site location. RCT populations were aggregated and participation of groups compared. Global distribution of research sites was described.

RESULTS

26 RCTs met inclusion criteria of 351 publications included in full-text screening, representing 17,041 patients. 79.8% were "Caucasian", 9.1% "East Asian", 3.7% "Black/African American" and 6.1% "Other, Unknown, Not Reported". "Caucasian" patients participated at higher rates than all other groups. Of 5,478 research sites, 80.1% were located in North America, 13.0% in Europe, 3.4% in East Asia, 1.3% in the Middle East, 1.3% in South America and 0.8% in Australasia.

CONCLUSIONS

Ethnic minorities formed smaller proportions of RCT cohorts compared to the general population. The majority of sites were located in North America and Europe, with few in other regions, limiting enrollment of South Asian, South-East Asian and African patients in particular. Efforts to recruit more ethnic minority patients should be made in North America and Europe. More sites in underserved regions would promote equitable access to RCTs and ensure findings are generalisable to diverse groups. This review assessed the global population enrolled in contemporary RCTs for novel therapies now routinely given for gynecological cancers, adding novel understanding of the global distribution of research sites.

Racial and Ethnic Disparity in Approach for Pediatric Intensive Care Unit Research Participation

Importance

While disparities in consent rates for research have been reported in multiple adult and pediatric settings, limited data informing enrollment in pediatric intensive care unit (PICU) research are available. Acute care settings such as the PICU present unique challenges for study enrollment, given the highly stressful and emotional environment for caregivers and the time-sensitive nature of the studies.

Objective

To determine whether race and ethnicity, language, religion, and Social Deprivation Index (SDI) were associated with disparate approach and consent rates in PICU research.

Design, Setting, and Participants

This retrospective cohort study was performed at the Children's Hospital of Philadelphia PICU between July 1, 2011, and December 31, 2021. Participants included patients eligible for studies requiring prospective consent. Data were analyzed from February 2 to July 26, 2022.

Exposure

Exposures included race and ethnicity (Black, Hispanic, White, and other), language (Arabic, English, Spanish, and other), religion (Christian, Jewish, Muslim, none, and other), and SDI (composite of multiple socioeconomic indicators).

Main Outcomes and Measures

Multivariable regressions separately tested associations between the 4 exposures (race and ethnicity, language, religion, and SDI) and 3 outcomes (rates of approach among eligible patients, consent among eligible patients, and consent among those approached). The degree to which reduced rates of approach mediated the association between lower consent in Black children was also assessed.

Results

Of 3154 children included in the study (median age, 6 [IQR, 1.9-12.5] years; 1691 [53.6%] male), rates of approach and consent were lower for Black and Hispanic families and those of other races, speakers of Arabic and other languages, Muslim families, and those with worse SDI. Among children approached for research, lower consent odds persisted for those of Black race (unadjusted odds ratio [OR], 0.73 [95% CI, 0.55-0.97]; adjusted OR, 0.68 [95% CI, 0.49-0.93]) relative to White race. Mediation analysis revealed that 51.0% (95% CI, 11.8%-90.2%) of the reduced odds of consent for Black individuals was mediated by lower probability of approach.

Conclusions and Relevance

In this cohort study of consent rates for PICU research, multiple sociodemographic factors were associated with lower rates of consent, partly attributable to disparate rates of approach. These findings suggest opportunities for reducing disparities in PICU research participation.

Race, ethnicity, ancestry, and aspects that impact HLA data and matching for transplant

Race, ethnicity, and ancestry are terms that are often misinterpreted and/or used interchangeably. There is lack of consensus in the scientific literature on the definition of these terms and insufficient guidelines on the proper classification, collection, and application of this data in the scientific community. However, defining groups for human populations is crucial for multiple healthcare applications and clinical research. Some examples impacted by population classification include HLA matching for stem-cell or solid organ transplant, identifying disease associations and/or adverse drug reactions, defining social determinants of health, understanding diverse representation in research studies, and identifying potential biases. This article describes aspects of race, ethnicity and ancestry information that impact the stem-cell or solid organ transplantation field with particular focus on HLA data collected from donors and recipients by donor registries or transplant centers.

The Intersection between Pharmacogenomics and Health Equity: A Case Example

Pharmacogenomics (PGx) and the study of precision medicine has substantial power to either uplift health equity efforts or further widen the gap of our already existing health disparities. In either occurrence, the medication experience plays an integral role within this intersection on an individual and population level. Examples of this intertwined web are highlighted through a case discussion. With these perspectives in mind, several recommendations for the research and clinical communities are highlighted to promote equitable healthcare with PGx integrated.

Development of a machine learning model to predict intraoperative transfusion and guide type and screen ordering

STUDY OBJECTIVE

To develop an algorithm to predict intraoperative Red Blood Cell (RBC) transfusion from preoperative variables contained in the electronic medical record of our institution, with the goal of guiding type and screen ordering.

DESIGN

Machine Learning model development on retrospective single-center hospital data.

SETTING

Preoperative period and operating room.

PATIENTS

The study included patients ≥18 years old who underwent surgery during 2019-2022 and excluded those who refused transfusion, underwent emergency surgery, or surgery for organ donation after cardiac or brain death.

INTERVENTION

Prediction of intraoperative transfusion vs. no intraoperative transfusion.

MEASUREMENTS

The outcome variable was intraoperative transfusion of RBCs. Predictive variables were surgery, surgeon, anesthesiologist, age, sex, body mass index, race or ethnicity, preoperative hemoglobin (g/dL), partial thromboplastin time (s), platelet count x 109 per liter, and prothrombin time. We compared the performances of seven machine learning algorithms. After training and optimization on the 2019-2021 dataset, model thresholds were set to the current institutional performance level of sensitivity (93%). To qualify for comparison, models had to maintain clinically relevant sensitivity (>90%) when predicting on 2022 data; overall accuracy was the comparative metric.

MAIN RESULTS

Out of 100,813 cases that met study criteria from 2019 to 2021, intraoperative transfusion occurred in 5488 (5.4%) of cases. The LightGBM model was the highest performing algorithm in external temporal validity experiments, with overall accuracy of (76.1%) [95% confidence interval (CI), 75.6-76.5], while maintaining clinically relevant sensitivity of (91.2%) [95% CI, 89.8-92.5]. If type and screens were ordered based upon the LightGBM model, the predicted type and screen to transfusion ratio would improve from 8.4 to 5.1.

CONCLUSIONS

Machine learning approaches are feasible in predicting intraoperative transfusion from preoperative variables and may improve preoperative type and screen ordering practices when incorporated into the electronic health record.

Race-Specific Interpretation of Spirometry: Impact on the Lung Allocation Score

Rationale: Interpretation of spirometry using race-specific reference equations may contribute to health disparities via underestimation of the degree of lung function impairment in Black patients. The use of race-specific equations may differentially affect patients with severe respiratory disease via the use of percentage predicted forced vital capacity (FVCpp) when included in the lung allocation score (LAS), the primary determinant of priority for lung transplantation. Objectives: To determine the impact of a race-specific versus a race-neutral approach to spirometry interpretation on the LAS among adults listed for lung transplantation in the United States. Methods: We developed a cohort from the United Network for Organ Sharing database including all White and Black adults listed for lung transplantation between January 7, 2009, and February 18, 2015. The LAS at listing was calculated for each patient under race-specific and race-neutral approaches, using the FVCpp generated from the Global Lung Function Initiative equation corresponding to each patient's race (race-specific) or from the Global Lung Function Initiative "other" (race-neutral) equation. Differences in LAS between approaches were compared by race, with positive values indicating a higher LAS under the race-neutral approach. Results: In this cohort of 8,982 patients, 90.3% were White and 9.7% were Black. The mean FVCpp was 4.4% higher versus 3.8% lower among White versus Black patients (P < 0.001) under a race-neutral compared with a race-specific approach. Compared with White patients, Black patients had a higher mean LAS under both a race-specific (41.9 vs. 43.9; P < 0.001) and a race-neutral (41.3 vs. 44.3; P < 0.001) approach. However, the mean difference in LAS under a race-neutral approach was -0.6 versus +0.6 for White versus Black patients (P < 0.001). Differences in LAS under a race-neutral approach were most pronounced for those in group B (pulmonary vascular disease) (-0.71 vs. +0.70; P < 0.001) and group D (restrictive lung disease) (-0.78 vs. +0.68; P < 0.001). Conclusions: A race-specific approach to spirometry interpretation has potential to adversely affect the care of Black patients with advanced respiratory disease. Compared with a race-neutral approach, a race-specific approach resulted in lower LASs for Black patients and higher LASs for White patients, which may have contributed to racially biased allocation of lung transplantation. The future use of race-specific equations must be carefully considered.

Electronic health record data quality assessment and tools: a systematic review

OBJECTIVE

We extended a 2013 literature review on electronic health record (EHR) data quality assessment approaches and tools to determine recent improvements or changes in EHR data quality assessment methodologies.

MATERIALS AND METHODS

We completed a systematic review of PubMed articles from 2013 to April 2023 that discussed the quality assessment of EHR data. We screened and reviewed papers for the dimensions and methods defined in the original 2013 manuscript. We categorized papers as data quality outcomes of interest, tools, or opinion pieces. We abstracted and defined additional themes and methods though an iterative review process.

RESULTS

We included 103 papers in the review, of which 73 were data quality outcomes of interest papers, 22 were tools, and 8 were opinion pieces. The most common dimension of data quality assessed was completeness, followed by correctness, concordance, plausibility, and currency. We abstracted conformance and bias as 2 additional dimensions of data quality and structural agreement as an additional methodology.

DISCUSSION

There has been an increase in EHR data quality assessment publications since the original 2013 review. Consistent dimensions of EHR data quality continue to be assessed across applications. Despite consistent patterns of assessment, there still does not exist a standard approach for assessing EHR data quality.

CONCLUSION

Guidelines are needed for EHR data quality assessment to improve the efficiency, transparency, comparability, and interoperability of data quality assessment. These guidelines must be both scalable and flexible. Automation could be helpful in generalizing this process.

Retaining Race in Chronic Kidney Disease Diagnosis and Treatment

The best overall measure of kidney function is glomerular filtration rate (GFR) as commonly estimated from serum creatinine concentrations (eGFRcr) using formulas that correct for the higher average creatinine concentrations in Blacks. After two decades of use, these formulas have come under scrutiny for estimating GFR differently in Blacks and non-Blacks. Discussions of whether to include race (Black vs. non-Black) in the calculation of eGFRcr fail to acknowledge that the original race-based eGFRcr provided the same CKD treatment recommendations for Blacks and non-Blacks based on directly (exogenously) measured GFR. Nevertheless, the National Kidney Foundation and the American Society of Nephrology Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease removed race in CKD treatment guidelines and pushed for the immediate adoption of a race-free eGFRcr formula by physicians and clinical laboratories. This formula is projected to negate CKD in 5.51 million White and other non-Black adults and reclassify CKD to less severe stages in another 4.59 million non-Blacks, in order to expand treatment eligibility to 434,000 Blacks not previously diagnosed and to 584,000 Blacks previously diagnosed with less severe CKD. This review examines: 1) the validity of the arguments for removing the original race correction, and 2) the performance of the proposed replacement formula. Excluding race in the derivation of eGFRcr changed the statistical bias from +3.7 to -3.6 ml/min/1.73m2 in Blacks and from +0.5 to +3.9 in non-Blacks, i.e., promoting CKD diagnosis in Blacks at the cost of restricting diagnosis in non-Blacks. By doing so, the revised eGFRcr greatly exaggerates the purported racial disparity in CKD burden. Claims that the revised formulas identify heretofore undiagnosed CKD in Blacks are not supported when studies that used kidney failure replacement therapy and mortality are interpreted as proxies for baseline CKD. Alternatively, a race-stratified eGFRcr (i.e., separate equations for Blacks and non-Blacks) would provide the least biased eGFRcr for both Blacks and non-Blacks and the best medical treatment for all patients.

Patient- and Hospital- Level Disparities in Severe Maternal Morbidity: a Retrospective Multistate Analysis, 2015-2020

The rate of severe maternal morbidity (SMM) in the United States (US) rose roughly 9% among all insured racial/ethnic groups between 2018 and 2020, disproportionately affecting racial and ethnic minority populations. Limited research on hospital-level factors and SMM found that even after adjusting for patient-level factors, women of all races delivering in high Black-serving delivery units had higher odds of SMM. Our retrospective cohort study augments the current understanding of multi-level racial/ethnic disparities in SMM by analyzing patient- and hospital- level factors using multistate data from 2015 to 2020. Because rises in SMM have been driven in part by an increase in blood transfusions, multivariable logistic regression models were employed to estimate the impact of patient- and hospital-level factors on the adjusted odds of experiencing any SMM, with and without blood transfusions, as well as blood transfusions alone. Our cohort consisted of 3,497,233 deliveries: 56,885 (1.63%) with any SMM, 16,070 (0.46%) with SMM excluding blood transfusion, and 45,468 (1.30%) with blood transfusions alone. We found that Black race, Hispanic ethnicity, and delivering at Black-serving delivery-units, both independently and interactively, increase the odds of any SMM with or without blood transfusions. Our findings illustrate the persistence of structural- and individual- level racial and ethnic disparities in maternal outcomes over time and emphasize the need for multi-level public policies to address racial/ethnic disparities in maternal healthcare.

Poor Representation of Developing Countries in Editorial Boards of Leading Obstetrics and Gynaecology Journals

Evidence suggests a limited contribution to the total research output in leading obstetrics and gynaecology journals by researchers from the developing world. Editorial bias, quality of scientific research produced and language barriers have been attributed as possible causes for this phenomenon. The aim of this study was to understand the prevalence of editorial board members based out of low and lower-middle income countries in leading journals in the field of obstetrics and gynaecology. The top 21 journals in the field of obstetrics and gynaecology were selected based on their impact factor, SCImago ranking and literature search. The composition of the editorial boards of these journals was studied based on World Bank Income Criteria to understand the representation status of researchers from low and lower-middle income countries. A total of 1315 board members make up the editorial composition of leading obstetrics and gynaecology journals. The majority of these editors belong to high-income countries (n = 1148; 87.3%). Low (n = 6; 0.45%) and lower-middle income (n = 55; 4.18%) countries make up for a very minuscule proportion of editorial board members. Only a meagre 9 out of 21 journals have editorial board members from these countries (42.85%). Low and low-middle countries have poor representation in the editorial boards of leading obstetrics and gynaecology journals. Poor representation in research from these countries has grave consequences for a large proportion of the global population and multidisciplinary collaborative efforts must be taken to rapidly change this statistic with immediate effect.