Sex Differences in Diagnoses, Treatment, and Outcomes for Emergency Department Patients With Chest Pain and Elevated Cardiac Troponin

Do emergency medicine health care workers rate triage level of chest pain differently based upon appearance in simulated patients?

BACKGROUND AND IMPORTANCE

There seems to be evidence of gender and ethnic bias in the early management of acute coronary syndrome. However, whether these differences are related to less severe severity assessment or to less intensive management despite the same severity assessment has not yet been established.

OBJECTIVE

To show whether viewing an image with characters of different gender appearance or ethnic background changes the prioritization decision in the emergency triage area.

METHODS

The responders were offered a standardized clinical case in an emergency triage area. The associated image was randomized among eight standardized images of people presenting with chest pain and differing in gender and ethnic appearance (White, Black, North African and southeast Asian appearance).

OUTCOME MEASURES AND ANALYSIS

Each person was asked to respond to a single clinical case, in which the priority level [from 1 (requiring immediate treatment) to 5 (able to wait up to 2 h)] was assessed visually. Priority classes 1 and 2 for vital emergencies and classes 3-5 for nonvital emergencies were grouped together for analysis.

RESULTS

Among the 1563 respondents [mean age, 36 ± 10 years; 867 (55%) women], 777 (50%) were emergency physicians, 180 (11%) emergency medicine residents and 606 (39%) nurses. The priority levels for all responses were 1-5 : 180 (11%), 686 (44%), 539 (34%), 131 (9%) and 27 (2%). There was a higher reported priority in male compared to female [62% vs. 49%, difference 13% (95% confidence interval; CI 8-18%)]. Compared to White people, there was a lower reported priority for Black simulated patients [47% vs. 58%, difference -11% (95% CI -18% to -4%)] but not people of southeast Asian [55% vs. 58%, difference -3% (95% CI -10-5%)] and North African [61% vs. 58%, difference 3% (95% CI -4-10%)] appearance.

CONCLUSION

In this study, the visualization of simulated patients with different characteristics modified the prioritization decision. Compared to White patients, Black patients were less likely to receive emergency treatment. The same was true for women compared with men.

Influence of Patient and Clinician Gender on Emergency Department HEART Scores: A Secondary Analysis of a Prospective Observational Trial

STUDY OBJECTIVE

Clinical decision aids can decrease health care disparities. However, many clinical decision aids contain subjective variables that may introduce clinician bias. The HEART score is a clinical decision aid that estimates emergency department (ED) patients' cardiac risk. We sought to explore patient and clinician gender's influence on HEART scores.

METHODS

In this secondary analysis of a prospective observational trial, we examined a convenience sample of adult ED patients at one institution presenting with acute coronary syndrome symptoms. We compared ED clinician-generated HEART scores with researcher-generated HEART scores blinded to patient gender. The primary outcome was agreement between clinician and researcher HEART scores by patient gender overall and stratified by clinician gender. Analyses used difference-in-difference (DiD) for continuous score and prevalence-adjusted, bias-adjusted Kappa (PABAK) for binary (low versus moderate/high risk) score comparison.

RESULTS

All 336 clinician-patient pairs from the original study were included. In total, 47% (158/336) of patients were women, and 52% (174/336) were treated by a woman clinician. The DiD between clinician and researcher HEART scores among men versus women patients was 0.24 (95% CI -0.01 to 0.48). Compared with researchers, men clinicians assigned a higher score to men versus women patients (DiD 0.51 [95% CI 0.16 to 0.87]), whereas women clinicians did not (DiD 0.00 [95% CI -0.33 to 0.33]). Agreement was the highest among women clinicians (PABAK 0.72; 95% CI 0.61 to 0.81) and lowest among men clinicians assessing men patients (PABAK 0.47; 95% CI 0.29 to 0.66).

CONCLUSION

Patient and clinician gender may influence HEART scores. Researchers should strive to understand these influences in developing and implementing this and other clinical decision aids.

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

BACKGROUND

Large language models (LLMs) such as GPT-4 hold great promise as transformative tools in health care, ranging from automating administrative tasks to augmenting clinical decision making. However, these models also pose a danger of perpetuating biases and delivering incorrect medical diagnoses, which can have a direct, harmful impact on medical care. We aimed to assess whether GPT-4 encodes racial and gender biases that impact its use in health care.

METHODS

Using the Azure OpenAI application interface, this model evaluation study tested whether GPT-4 encodes racial and gender biases and examined the impact of such biases on four potential applications of LLMs in the clinical domain-namely, medical education, diagnostic reasoning, clinical plan generation, and subjective patient assessment. We conducted experiments with prompts designed to resemble typical use of GPT-4 within clinical and medical education applications. We used clinical vignettes from NEJM Healer and from published research on implicit bias in health care. GPT-4 estimates of the demographic distribution of medical conditions were compared with true US prevalence estimates. Differential diagnosis and treatment planning were evaluated across demographic groups using standard statistical tests for significance between groups.

FINDINGS

We found that GPT-4 did not appropriately model the demographic diversity of medical conditions, consistently producing clinical vignettes that stereotype demographic presentations. The differential diagnoses created by GPT-4 for standardised clinical vignettes were more likely to include diagnoses that stereotype certain races, ethnicities, and genders. Assessment and plans created by the model showed significant association between demographic attributes and recommendations for more expensive procedures as well as differences in patient perception.

INTERPRETATION

Our findings highlight the urgent need for comprehensive and transparent bias assessments of LLM tools such as GPT-4 for intended use cases before they are integrated into clinical care. We discuss the potential sources of these biases and potential mitigation strategies before clinical implementation.

FUNDING

Priscilla Chan and Mark Zuckerberg.

Sex Differences in Epidemiology, Care, and Outcomes in Patients With Acute Chest Pain

BACKGROUND

Discrepancies in cardiovascular care for women are well described, but few data assess the entire patient journey for chest pain care.

OBJECTIVES

This study aimed to assess sex differences in epidemiology and care pathways from emergency medical services (EMS) contact through to clinical outcomes following discharge.

METHODS

This is a state-wide population-based cohort study including consecutive adult patients attended by EMS for acute undifferentiated chest pain in Victoria, Australia (January 1, 2015, to June 30, 2019). EMS clinical data were individually linked to emergency and hospital administrative datasets, and mortality data and differences in care quality and outcomes were assessed using multivariable analyses.

RESULTS

In 256,901 EMS attendances for chest pain, 129,096 attendances (50.3%) were women, and mean age was 61.6 years. Age-standardized incidence rates were marginally higher for women compared with men (1,191 vs 1,135 per 100,000 person-years). In multivariable models, women were less likely to receive guideline-directed care across most care measures including transport to hospital, prehospital aspirin or analgesia administration, 12-lead electrocardiogram, intravenous cannula insertion, and off-load from EMS or review by emergency department clinicians within target times. Similarly, women with acute coronary syndrome were less likely to undergo angiography or be admitted to a cardiac or intensive care unit. Thirty-day and long-term mortality was higher for women diagnosed with ST-segment elevation myocardial infarction, but lower overall.

CONCLUSIONS

Substantial differences in care are present across the spectrum of acute chest pain management from first contact through to hospital discharge. Women have higher mortality for STEMI, but better outcomes for other etiologies of chest pain compared with men.

Ischemic Heart Disease in Young Women: JACC Review Topic of the Week

The Cardiovascular Disease in Women Committee of the American College of Cardiology convened a working group to develop a consensus regarding the continuing rise of mortality rates in young women aged 35 to 54 years. Heart disease mortality rates in young women continue to increase. Young women have increased mortality secondary to ischemic heart disease (IHD) compared with comparably aged men and similar mortality to that observed among older women. The authors reviewed the published evidence, including observational and mechanistic/translational data, and identified knowledge gaps pertaining to young women. This paper provides clinicians with pragmatic, evidence-based management strategies for young women at risk for IHD. Next-step research opportunities are outlined. This report presents highlights of the working group review and a summary of suggested research directions to advance the IHD field in the next decade.

Sex and Race Differences in the Evaluation and Treatment of Young Adults Presenting to the Emergency Department With Chest Pain

Background Acute myocardial infarctions are increasingly common among young adults. We investigated sex and racial differences in the evaluation of chest pain (CP) among young adults presenting to the emergency department. Methods and Results Emergency department visits for adults aged 18 to 55 years presenting with CP were identified in the National Hospital Ambulatory Medical Care Survey 2014 to 2018, which uses stratified sampling to produce national estimates. We evaluated associations between sex, race, and CP management before and after multivariable adjustment. We identified 4152 records representing 29 730 145 visits for CP among young adults. Women were less likely than men to be triaged as emergent (19.1% versus 23.3%, respectively, P<0.001), to undergo electrocardiography (74.2% versus 78.8%, respectively, P=0.024), or to be admitted to the hospital or observation unit (12.4% versus 17.9%, respectively, P<0.001), but ordering of cardiac biomarkers was similar. After multivariable adjustment, men were seen more quickly (hazard ratio [HR], 1.15 [95% CI, 1.05-1.26]) and were more likely to be admitted (adjusted odds ratio, 1.40 [95% CI, 1.08-1.81]; P=0.011). People of color waited longer for physician evaluation (HR, 0.82 [95% CI, 0.73-0.93]; P<0.001) than White adults after multivariable adjustment, but there were no racial differences in hospital admission, triage level, electrocardiography, or cardiac biomarker testing. Acute myocardial infarction was diagnosed in 1.4% of adults in the emergency department and 6.5% of admitted adults. Conclusions Women and people of color with CP waited longer to be seen by physicians, independent of clinical features. Women were independently less likely to be admitted when presenting with CP. These differences could impact downstream treatment and outcomes.

The presentation of spontaneous coronary artery dissection in the emergency department: Signs and symptoms in an unsuspecting population

OBJECTIVES

Spontaneous coronary artery dissection (SCAD) has emerged as a common cause of acute coronary syndrome (ACS) in young women, although it is rarely discussed in the differential diagnosis for chest pain in the emergency department (ED). In a population otherwise considered low risk for myocardial infarction, there is a danger of incomplete workup and missed diagnosis. In this study, we aim to describe the clinical presentation of those who present to the ED with SCAD to increase awareness of this potentially fatal diagnosis among emergency practitioners.

METHODS

Data were queried from the Mayo Clinic "Virtual" Multicenter SCAD Registry, a large multisite international disease registry. The registry includes demographic information as well as data from both medical records and surveys administered following the SCAD event. Symptom presentation was abstracted from survey narrative responses. Data analysis was performed using descriptive statistics.

RESULTS

Of 1196 subjects included, chest pain was reported during initial SCAD event in 95.7%. Most common chest symptoms descriptors were pain, pressure/weight, and tightness, with radiation most often in one or both arms/shoulders. Other common symptoms included nausea, shortness of breath, and diaphoresis. Most common electrocardiogram (ECG) findings reported were ST elevation, T-wave abnormality, and normal ECG. Initial troponin values were within normal range in 20.1% of patients.

CONCLUSION

With young healthy women often considered "low risk" for ACS, it is important to understand that SCAD is a cause of ACS, and familiarity with presentation can improve awareness among emergency physicians. Our data can provide insight in helping to identify young women who present with chest pain due to SCAD so they can be appropriately evaluated.

Prehospital time for patients with acute cardiac complaints: A rural health disparity

OBJECTIVE

Delays in care for patients with acute cardiac complaints are associated with increased morbidity and mortality. The objective of this study was to quantify rural and urban differences in prehospital time intervals for patients with cardiac complaints.

METHODS

The ESO Data Collaborative dataset consisting of records from 1332 EMS agencies was queried for 9-1-1 encounters with acute cardiac problems among adults (age ≥ 18) from 1/1/2013-6/1/2018. Location was classified as rural or urban using the 2010 United States Census. The primary outcome was total prehospital time. Generalized estimating equations evaluated differences in the average times between rural and urban encounters while controlling for age, sex, race, transport mode, loaded mileage, and patient stability.

RESULTS

Among 428,054 encounters, the median age was 62 (IQR 50-75) years with 50.7% female, 75.3% white, and 10.3% rural. The median total prehospital, response, scene, and transport times were 37.0 (IQR 29.0-48.0), 6.0 (IQR 4.0-9.0), 16.0 (IQR 12.0-21.0), and 13.0 (IQR 8.0-21.0) minutes. Rural patients had an average total prehospital time that was 16.76 min (95%CI 15.15-18.38) longer than urban patients. After adjusting for covariates, average total time was 5.08 (95%CI 4.37-5.78) minutes longer for rural patients. Average response and transport time were 4.36 (95%CI 3.83-4.89) and 0.62 (95%CI 0.33-0.90) minutes longer for rural patients. Scene time was similar in rural and urban patients (0.09 min, 95%CI -0.15-0.33).

CONCLUSION

Rural patients with acute cardiac complaints experienced longer prehospital time than urban patients, even after accounting for other key variables, such as loaded mileage.

Screening for health-related social needs in the emergency department: Adaptability and fidelity during the COVID-19 pandemic

Background and objectives

We sought to evaluate a screening and referral program for health-related social needs (HRSN) in our ED. Our goals were to (1) quantify successful screenings prior to and during the initial peak of the pandemic, and (2) describe the HRSNs identified.

Methods

We performed an observational analysis of ED-based screening for HRSN in Medicare and Medicaid patients at our large urban safety-net hospital. Screening was performed by patient navigators utilizing the ten question, validated Accountable Health Communities (AHC) Screening Tool, which screens for food insecurity, housing instability, transportation needs and utility assistance and interpersonal safety. Patients who screened positive for HRSN were provided with handouts listing community resources. For patients with two or more self-reported ED visits in the last 12 months and any identified HRSN, ongoing navigation after discharge was provided utilizing community resource referrals. During the pre-pandemic period from November 1, 2019 – January 31, 2020, screening occurred in-person. Screening during the pandemic from March 1, 2020 – May 31, 2020 occurred remotely via telephone. Descriptive statistics including frequency rates and percentages were calculated. Successful screening was defined as completing the screening survey with a navigator and being triaged to either no assistance, resource handouts, or navigation services.

Results

Among the adult and pediatric patients screened for HRSN, 158 (16%) qualified for community resource handouts and 440 (44.4%) qualified for patient navigator services. The proportion of patients receiving both resources and care navigation remained similar in the pre- and post-periods of the study, at 227 (45%) and 213 (43.9%) respectively. However, the proportion of ED patients with a HRSN need doubled from 56 (11.1%) in the pre-period to 102 (21%) in the post-period. Food insecurity was the most identified HRSN in both the pre-pandemic period (27.3%) and during the pandemic (35.8%).

Conclusion

We found that remote HRSN screening for ED patients during the COVID-19 pandemic resulted in similar proportions of successfully completed screenings compared to pre-pandemic efforts. This demonstrates the feasibility of utilizing alternative methods of screening and referral to community resources from the ED, which could facilitate this type of intervention in other EDs. During the pandemic HRSN increased, likely reflecting the economic impact of the pandemic.

The disutility of stress testing in low-risk HEART Pathway patients

BACKGROUND

The HEART Pathway identifies low-risk chest pain patients for discharge from the Emergency Department without stress testing. However, HEART Pathway recommendations are not always followed. The objective of this study is to determine the frequency and diagnostic yield of stress testing among low-risk patients.

METHODS

An academic hospital's chest pain registry was analyzed for low-risk HEART Pathway patients (HEAR score ≤ 3 with non-elevated troponins) from 1/2017 to 7/2018. Stress tests were reviewed for inducible ischemia. Diagnostic yield was defined as the rate of obstructive CAD among patients with positive stress testing. T-test or Fisher's exact test was used to test the univariate association of age, sex, race/ethnicity, and HEAR score with stress testing. Multivariate logistic regression was used to determine the association of age, sex, race/ethnicity, and HEAR score with stress testing.

RESULTS

There were 4743 HEART Pathway assessments, with 43.7% (2074/4743) being low-risk. Stress testing was performed on 4.1% (84/2074). Of the 84 low-risk patients who underwent testing, 8.3% (7/84) had non-diagnostic studies and 2.6% (2/84) had positive studies. Among the 2 patients with positive studies, angiography revealed that 1 had widely patent coronary arteries and the other had multivessel obstructive coronary artery disease, making the diagnostic yield of stress testing 1.2% (1/84). Each one-point increase in HEAR score (aOR 2.17, 95% CI 1.45-3.24) and being male (aOR 1.59, 95% CI 1.02-2.49) were associated with testing.

CONCLUSIONS

Stress testing among low-risk HEART Pathway patients was uncommon, low yield, and more likely in males and those with a higher HEAR score.

Missed acute myocardial infarction in the emergency department-standardizing measurement of misdiagnosis-related harms using the SPADE method

OBJECTIVES

Diagnostic error is a serious public health problem. Measuring diagnostic performance remains elusive. We sought to measure misdiagnosis-related harms following missed acute myocardial infarctions (AMI) in the emergency department (ED) using the symptom-disease pair analysis of diagnostic error (SPADE) method.

METHODS

Retrospective administrative data analysis (2009-2017) from a single, integrated health system using International Classification of Diseases (ICD) coded discharge diagnoses. We looked back 30 days from AMI hospitalizations for antecedent ED treat-and-release visits to identify symptoms linked to probable missed AMI (observed > expected). We then looked forward from these ED discharge diagnoses to identify symptom-disease pair misdiagnosis-related harms (AMI hospitalizations within 30-days, representing diagnostic adverse events).

RESULTS

A total of 44,473 AMI hospitalizations were associated with 2,874 treat-and-release ED visits in the prior 30 days. The top plausibly-related ED discharge diagnoses were "chest pain" and "dyspnea" with excess treat-and-release visit rates of 9.8% (95% CI 8.5-11.2%) and 3.4% (95% CI 2.7-4.2%), respectively. These represented 574 probable missed AMIs resulting in hospitalization (adverse event rate per AMI 1.3%, 95% CI 1.2-1.4%). Looking forward, 325,088 chest pain or dyspnea ED discharges were followed by 508 AMI hospitalizations (adverse event rate per symptom discharge 0.2%, 95% CI 0.1-0.2%).

CONCLUSIONS

The SPADE method precisely quantifies misdiagnosis-related harms from missed AMIs using administrative data. This approach could facilitate future assessment of diagnostic performance across health systems. These results correspond to ∼10,000 potentially-preventable harms annually in the US. However, relatively low error and adverse event rates may pose challenges to reducing harms for this ED symptom-disease pair.

Evaluating Sex Disparities in the Emergency Department Management of Patients With Suspected Acute Coronary Syndrome

STUDY OBJECTIVE

We compare clinical management and outcomes of emergency department (ED) encounters by sex after implementation of a clinical care pathway in 15 community EDs that standardized recommendations based on patient risk, using the History, ECG, Age, Risk Factors, and Troponin (HEART) score.

METHODS

This was a retrospective analysis of adult ED encounters evaluated for suspected acute coronary syndrome with a documented HEART score from May 20, 2016, to December 1, 2017. The primary outcomes were hospitalization or 30-day stress testing. Secondary outcomes included 30-day acute myocardial infarction or all-cause death (major adverse cardiac event). A generalized estimating equation regression model was used to compare the odds of hospitalization or stress testing by sex; we report HEART scores (0 to 10) stratified by sex and describing major adverse cardiac events.

RESULTS

A total of 34,715 adult ED encounters met the inclusion criteria (56.0% women). A higher proportion of women were classified as low risk (60.5% versus 52.4%; odds ratio [OR] 1.39; 95% confidence interval [CI] 1.33 to 1.45). Women were hospitalized or received stress testing less frequently than men for low HEART scores (18.8% versus 22.8%; OR 0.79; 95% CI 0.73 to 0.84) and intermediate ones (46.7% versus 49.7%; OR 0.88; 95% CI 0.83 to 0.95), but similarly for high-risk ones (74.1% versus 74.4%; OR 0.99; 95% CI 0.77 to 1.28). Women had 18% lower odds of hospitalization or noninvasive cardiac testing (OR 0.82; 95% CI 0.78 to 0.86), even after adjusting for HEART score and comorbidities. Men had higher risks of major adverse cardiac events than women for all HEART score categories but the risk for men was significantly higher among low-risk HEART scores (0.4% versus 0.1%).

CONCLUSION

Women with low-risk HEART scores are hospitalized or stress tested less than men, which is likely appropriate, and women have better outcomes than men. Use of the HEART score has the potential to reduce sex disparities in acute coronary syndrome care.

Sex-based differences in time to surgical care among pancreatic cancer patients: A national study of Medicare beneficiaries

INTRODUCTION

The objective of this study was to characterize time from cancer symptoms to diagnosis and time from diagnosis to surgical treatment among patients undergoing pancreatectomy for cancer.

METHODS

Medicare beneficiaries who underwent pancreatectomy for cancer between 2013 and 2017 were identified using the 100% Medicare Inpatient Standard Analytic Files. Mixed effects negative binomial regression models were utilized to determine which factors were associated with the number of weeks to diagnosis and pancreatic resection.

RESULTS

Among 7647 Medicare beneficiaries, two-thirds (n = 5127, 67%) had symptoms associated with a pancreatic cancer diagnosis before surgery. Median time from the first symptom to diagnosis was 6 weeks (IQR: 1-25) and the median time from diagnosis to surgery was 4 weeks (IQR: 2-15). In risk-adjusted models, female patients had 13% longer waiting times from identification of a related symptom to pancreatic cancer diagnosis (OR = 1.13, 95% CI: 1.05-1.21) and 12% longer waiting times from diagnosis to surgery (OR = 1.12, 95% CI: 1.07-1.18). Older age was associated with 10% longer waiting times from symptom identification to diagnosis (p < .0001).

CONCLUSIONS

Female and older patients had longer wait times between symptom presentation and pancreatic cancer diagnosis. Sex-based disparities in cancer care need to be recognized and addressed by policymakers and health care institutions.

Frequency, Risk Factors, Causes, and Consequences of Diagnostic Errors in Critically Ill Medical Patients: A Retrospective Cohort Study

OBJECTIVE

Diagnostic errors are a source of significant morbidity and mortality but understudied in the critically ill. We sought to characterize the frequency, causes, consequences, and risk factors of diagnostic errors among unplanned ICU admissions.

DESIGN

We conducted a retrospective cohort study of randomly selected nonsurgical ICU admissions between July 2015 and June 2016.

SETTING

Medical ICU at a tertiary academic medical center.

SUBJECTS

Critically ill adults with unplanned admission to the medical ICU.

MEASUREMENTS AND MAIN RESULTS

The primary investigator reviewed patient records using a modified version of the Safer Dx instrument, a validated instrument for detecting diagnostic error. Two intensivists performed secondary reviews of possible errors, and reviewers met periodically to adjudicate errors by consensus. For each confirmed error, we judged harm on a 1-6 rating scale. We also collected detailed demographic and clinical data for each patient. We analyzed 256 unplanned ICU admissions and identified 18 diagnostic errors (7% of admissions). All errors were associated with harm, and only six errors (33%) were recognized by the ICU team within the first 24 hours. More women than men experienced a diagnostic error (11.7% vs 2.7%; p = 0.015, χ test). On multivariable logistic regression analysis, female sex remained independently associated with risk of diagnostic error both at admission (odds ratio, 5.18; 95% CI, 1.34-20.08) and at 24 hours (odds ratio, 11.6; 95% CI, 1.37-98.6). Similarly, Quick Sequential Organ Failure Assessment score greater than or equal to 2 at admission was independently associated with diagnostic error (odds ratio, 5.73; 95% CI, 1.72-19.01).

CONCLUSIONS

Diagnostic errors may be an underappreciated source of ICU-related harm. Women and higher acuity patients appear to be at increased risk for such errors. Further research is merited to define the scope of error-associated harm and to clarify risk factors for diagnostic errors among the critically ill.

Faculty insights regarding incorporation of gender- and sex-related differences in the PharmD curriculum: Phase 2

BACKGROUND

While pharmacists should be aware of gender and sex-related differences in treatment related decisions, this is not a required doctor of pharmacy curricular component. A regional pilot study demonstrated that approximately half of pharmacy practice faculty discussed these differences in their content area. The aim of this study was to evaluate the extent of inclusion of gender and sex-related differences on a national level in doctor of pharmacy curricula and to determine if faculty are comfortable teaching the topic.

METHODS

An electronic message with a link to an online survey was distributed to 7250 faculty members at 139 colleges of pharmacy. The survey remained open for three weeks and potential participants received weekly email reminders. The survey was voluntary, and responses were de-identified.

RESULTS

Overall, 641 faculty participated in the survey (8.8% response rate). Most respondents indicated that they do not teach about gender or sex-related differences (54.9%). Of those faculty reporting teaching gender and/or sex-related differences, 28% indicated that it was addressed in one clinical topic, while some (7.7%) indicated that the content was included in up to five topics. Half of faculty (53.6%) indicated that they believe this topic is somewhat important.

CONCLUSIONS

Results of this study suggest that gender and sex-related differences are not adequately addressed in current pharmacy curricula.