Looking at cancer health disparities in gynecologic oncology in 2020

Mitigating disparity?: Treatment patterns, survival, and recurrence rates by race, ethnicity, and hospital site across a large urban health system

Objective

National data have shown worse endometrial cancer (EC) outcomes among racial and ethnic minorities. We aimed to analyze EC patient outcomes within a large urban academic health system, with a focus on patterns of care and recurrence rates.

Methods

This was a retrospective chart review of EC patients at three system hospitals from 1/1/07-12/31/17. Demographic and clinical factors, including time from EMB to surgery, rate of chemotherapy completion, persistent or recurrent disease, and palliative care referrals were extracted. Descriptive statistics and survival curves were generated. Analysis was done using SAS version 9.4.

Results

Black patients had lower overall survival compared to all others on univariate analysis only (p < 0.0001). Hospital site was associated with OS, with the academic anchor and satellite 1 having higher rates of all-cause mortality compared to satellite 2 (HR 4.68 academic anchor, 95 % CI 1.72-12.76, HR 5.36 satellite 1, 95 % CI 1.85-15.52). Time from EMB to surgery and rates of persistent disease following primary treatment were higher in Black patients. After adjusting for stage and grade, chemotherapy completion rate was significantly associated with race. Palliative care was utilized more for Black than White patients after adjusting for stage and grade (p = 0.005).

Conclusions

Racial disparities in EC are caused by a complex web of interconnected factors that ultimately lead to worse outcomes in Black women. While precision medicine has helped to close the gap, social determinants of health should be addressed, and models focusing on the complex interactions between biologic, genetic, and social factors should be utilized.

Assessment of socioeconomic and racial differences in patients undergoing concurrent gynecologic oncology and urogynecology surgeries: a National Inpatient Sample (NIS) database study

OBJECTIVE

To assess social determinants of health impacting patients undergoing gynecologic oncology versus combined gynecologic oncology and urogynecology surgeries.

METHODS

We identified patients who underwent gynecologic oncology surgeries from 2016 to 2019 in the National Inpatient Sample using the International Classification of Diseases-10 codes. Demographics, including race and insurance status, were compared for patients who underwent gynecologic oncology procedures only (Oncologic) and those who underwent concurrent incontinence or pelvic organ prolapse procedures (Urogynecologic-Oncologic). A logistic regression model assessed variables of interest after adjustment for other relevant variables.

RESULTS

From 2016 to 2019 the National Inpatient Sample database contained 389 (1.14%) Urogynecologic-Oncologic cases and 33 796 (98.9%) Oncologic cases. Urogynecologic-Oncologic patients were less likely to be white (62.1% vs 68.8%, p=0.02) and were older (median 67 vs 62 years, p<0.001) than Oncologic patients. The Urogynecologic-Oncologic cohort was less likely to have private insurance as their primary insurance (31.9% vs 38.9%, p=0.01) and was more likely to have Medicare (52.2% vs 42.8%, p=0.01). After multivariable analysis, black (adjusted odds ratio (aOR) 1.41, 95% CI 1.05 to 1.89, p=0.02) and Hispanic patients (aOR 1.53, 95% CI 1.11 to 2.10, p=0.02) remained more likely to undergo Urogynecologic-Oncologic surgeries but the primary expected payer no longer differed significantly between the two groups (p=0.95). Age at admission, patient residence, and teaching location remained significantly different between the groups.

CONCLUSIONS

In this analysis of a large inpatient database we identified notable racial and geographical differences between the cohorts of patients who underwent Urogynecologic-Oncologic and Oncologic procedures.

Logistic burdens of cancer care: A qualitative study

Cancer treatment often creates logistic conflicts with everyday life priorities; however, these challenges and how they are subjectively experienced have been largely unaddressed in cancer care. Our goal was to describe time and logistic requirements of cancer care and whether and how they interfered with daily life and well-being. We conducted interviews with 20 adults receiving cancer-directed treatment at a single academic cancer center. We focused on participants' perception of the time, effort, and energy-intensiveness of cancer care activities, organization of care requirements, and preferences in how to manage the logistic burdens of their cancer care. Participant interview transcripts were analyzed using an inductive thematic analysis approach. Burdens related to travel, appointment schedules, healthcare system navigation, and consequences for relationships had roots both at the system-level (e.g. labs that were chronically delayed, protocol-centered rather than patient-centered bureaucratic requirements) and in individual circumstances (e.g. greater stressors among those working and/or have young children versus those who are retired) that determined subjective burdensomeness, which was highest among patients who experienced multiple sources of burdens simultaneously. Our study illustrates how objective burdens of cancer care translate into subjective burden depending on patient circumstances, emphasizing that to study burdens of care, an exclusive focus on objective measures does not capture the complexity of these issues. The complex interplay between healthcare system factors and individual circumstances points to clinical opportunities, for example helping patients to find ways to meet work and childcare requirements while receiving care.

Utilizing geospatial artificial intelligence to map cancer disparities across health regions

We have developed an innovative tool, the Intelligent Catchment Analysis Tool (iCAT), designed to identify and address healthcare disparities across specific regions. Powered by Artificial Intelligence and Machine Learning, our tool employs a robust Geographic Information System (GIS) to map healthcare outcomes and disease disparities. iCAT allows users to query publicly available data sources, health system data, and treatment data, offering insights into gaps and disparities in diagnosis and treatment paradigms. This project aims to promote best practices to bridge the gap in healthcare access, resources, education, and economic opportunities. The project aims to engage local and regional stakeholders in data collection and evaluation, including patients, providers, and organizations. Their active involvement helps refine the platform and guides targeted interventions for more effective outcomes. In this paper, we present two sample illustrations demonstrating how iCAT identifies healthcare disparities and analyzes the impact of social and environmental variables on outcomes. Over time, this platform can help communities make decisions to optimize resource allocation.

Timeliness of diagnostic evaluation for postmenopausal bleeding: A retrospective cohort study using claims data

BACKGROUND

Postmenopausal bleeding (PMB) is a common gynecologic condition. Although it can be a sign of uterine cancer, most patients have benign etiology. However, research on quality of diagnostic evaluation for PMB has been limited to cancer patients. To extend this research, we examined the timeliness of diagnostic evaluation for PMB among patients with benign conditions.

METHODS

Using the 2008-2019 MarketScan Research Databases, we identified 499176 patients (456741 with commercial insurance and 42435 with Medicaid insurance) who presented with PMB but did not have gynecologic cancer. For each patient, we measured the time from their PMB reporting to the date of their first diagnostic procedure. The association between patient characteristics and time to first diagnostic procedure was examined using Cox proportional hazards models (for the overall sample and then stratified by insurance type).

RESULTS

Overall, 54.3% of patients received a diagnostic procedure on the same day when they reported PMB and 86.6% received a diagnostic procedure within 12 months after reporting PMB. These percentages were 39.4% and 77.1%, respectively, for Medicaid patients, compared to 55.7% and 87.4%, respectively, for commercially insured patients (p<0.001 for both). Medicaid patients had an 18% lower rate of receiving a diagnostic procedure at any given time point than commercially insured patients (adjusted hazard ratio = 0.82, 95% CI: 0.81-0.83). Meanwhile, older age and non-gynecologic comorbidities were associated with a lower rate whereas concomitant gynecologic conditions and recent use of preventive care were associated with a higher rate of receiving diagnostic procedures. Analysis stratified by insurance type identified additional risk factors for delayed diagnostic procedures (e.g., non-metropolitan versus metropolitan location for commercially insured patients and Black versus White race for Medicaid patients).

CONCLUSION

A sizable proportion of patients did not receive prompt diagnostic evaluation for PMB. Both clinical and non-clinical factors could affect timeliness of evaluation.

Racial disparities in diagnostic evaluation of uterine cancer among Medicaid beneficiaries

BACKGROUND

To inform reasons contributing to Black-White disparity in early diagnosis of uterine cancer, we compared the quality of diagnostic evaluation received by Black vs White patients with abnormal uterine bleeding (AUB) ultimately diagnosed with uterine cancer.

METHODS

Using 2008-2019 MarketScan Multi-State Medicaid Database, we identified Black (n = 858) and White (n = 1749) patients with uterine cancer presenting with AUB. Quality of diagnostic evaluation was measured by delayed diagnosis (>1 year after AUB reporting), not receiving guideline-recommended diagnostic procedures, delayed time to first diagnostic procedure (>2 months after AUB reporting), number of diagnostic procedures received, and number of evaluation and management visits for AUB. The association between race and quality indicators was examined by multivariable regressions adjusting for patient characteristics.

RESULTS

Black patients were more likely than White patients to experience delayed diagnosis (11.3% vs 8.3%, P = .01; adjusted odds ratio [OR] = 1.71, 95% confidence interval [CI] = 1.27 to 2.29) or to not receive guideline-recommended diagnostic procedures (10.1% vs 5.0%, P < .001; adjusted OR = 1.94, 95% CI = 1.40 to 2.68). Even when they did receive recommended diagnostic procedures, Black patients were more likely than White patients to experience delay in time to the first diagnostic procedure (adjusted OR = 1.46, 95% CI = 1.09 to 1.97). In addition, Black patients underwent more evaluation and management visits for AUB before getting diagnosed compared with White patients (adjusted mean ratio = 1.13, 95% CI = 1.04 to 1.23).

CONCLUSIONS

Black and White patients with uterine cancer differed in the quality of diagnostic evaluation received. Improving equity in this area may help reduce Black-White disparity in stage at diagnosis.

Factors Associated With Survival Disparities Between Non-Hispanic Black and White Patients With Uterine Cancer

Importance

Disparities in survival exist between non-Hispanic Black (hereafter, Black) and non-Hispanic White (hereafter, White) patients with uterine cancer.

Objective

To investigate factors associated with racial disparities in survival between Black and White patients with uterine cancer.

Design, Setting, and Patients

This cohort study used data from the National Cancer Database on 274 838 Black and White patients who received a diagnosis of uterine cancer from January 1, 2004, to December 31, 2017, with follow-up through December 2020. Statistical analysis was performed in July 2022.

Main Outcomes and Measures

Overall survival by self-reported race and evaluation of explanatory study factors associated with hazard ratio (HR) reduction for Black vs White patients. A propensity scoring approach was applied sequentially to balance racial differences in demographic characteristics, comorbidity score, neighborhood income, insurance status, histologic subtype, disease stage, and treatment.

Results

The study included 32 230 Black female patients (mean [SD] age at diagnosis, 63.8 [10.0] years) and 242 608 White female patients (mean [SD] age at diagnosis, 63.5 [10.5] years) and had a median follow-up of 74.0 months (range, 43.5-113.8 months). Black patients were more likely than White patients to have low income (44.1% vs 14.0%), be uninsured (5.7% vs 2.6%), present with nonendometrioid histologic characteristics (46.1% vs 21.6%), have an advanced disease stage (34.1% vs 19.8%), receive first-line chemotherapy (33.8% vs 18.2%), and have worse 5-year survival (58.6% vs 78.5%). Among patients who received a diagnosis at younger than 65 years of age, the HR for death for Black vs White patients was 2.43 (95% CI, 2.34-2.52) in a baseline demographic-adjusted model and 1.29 (95% CI, 1.23-1.35) after balancing other factors. Comorbidity score, neighborhood income, insurance status, histologic subtype, disease stage, treatment, and unexplained factors accounted for 0.8%, 7.2%, 11.5%, 53.1%, 5.8%, 1.2%, and 20.4%, respectively, of the excess relative risk (ERR) among the younger Black vs White patients. Among patients 65 years or older, the HR for death for Black vs White patients was 1.87 (95% CI, 1.81-1.93) in the baseline model and 1.14 (95% CI, 1.09-1.19) after balancing other factors. Comorbidity score, neighborhood income, insurance status, histologic subtype, disease stage, treatment, and unexplained factors accounted for 3.0%, 7.5%, 0.0%, 56.2%, 10.6%, 6.9%, and 15.8%, respectively, of the ERR among Black vs White patients aged 65 years or older.

Conclusions and Relevance

This study suggests that histologic subtype was the dominant factor associated with racial survival disparity among patients with uterine cancer, while insurance status represented the main modifiable factor for women younger than 65 years. Additional studies of interactions between biology and social determinants of health are merited.

"There's not enough studies": Views of black breast and ovarian cancer patients on research participation

BACKGROUND

Black breast and ovarian cancer patients are underrepresented in clinical cancer trials disproportionate to the prevalence of these cancers in Black females. Historically, lower enrollment has been attributed to individualized factors, including medical mistrust, but more recently structural factors, including systemic racism, have received additional scrutiny. We interviewed Black women with a personal or family history of breast and ovarian cancer to understand their views and experiences related to research participation.

METHODS

Qualitative interviews were conducted via telephone or video conference and transcribed verbatim. Transcripts were qualitatively analyzed for iterative themes related to the offer and participation in cancer clinical trials and research studies, impact on cancer care, and recommendations to increase enrollment of Black patients.

RESULTS

Sixty-one Black women completed an interview. Participants expressed that Black women are underrepresented in cancer research, and that this negatively impacted their own care. Many cited past historical abuses, including the Tuskegee syphilis trial, as a potential factor for lower enrollment but suggested that lower enrollment was better understood in the context of the entirety of their healthcare experiences, including present-day examples of patient mistreatment or dismissal. Participants suggested that proactive community engagement, transparency, and increased representation of Black research team members were strategies likely to foster trust and bolster research participation.

CONCLUSION(S)

Medical mistrust is only a partial factor in the lower participation of Black patients in cancer research. Researchers should implement the strategies identified by our participants to promote diverse enrollment and ensure that Black patients are included in future therapeutic advances.

Tackling Gynecologic Cancer Disparities: An Assessment of 2 Interventions for Improving Information Exchange With Racial/Ethnic Communities

Racial health disparities continue to greatly impact the incidence and mortality rates of gynecologic cancers. Although there are many drivers for these disparities, limited inclusion of vulnerable populations in clinical research and narrowed medical knowledge of patients are large contributors that disproportionately affect racial/ethnic communities. To mitigate these disparities, we must look for avenues that connect patients from these communities to cancer researchers. In this review, we summarize 2 projects that can serve as models for future interventions that promote education and engagement in clinical research for populations most impacted by gynecologic cancer disparities.

Intersectionality Between Epigenetics and Cancer Health Disparities Stemming from Social Determinants of Health (SDoH) Through a Gynecologic Oncology Lens: A Narrative Review

Racial health disparities within gynecologic cancers persist. We aim to explore the impact of epigenetics on these disparities and how social determinants of health fuel this effect. We queried PubMed with terms associated with social determinants of health and epigenetics in the scope of 3 gynecologic cancers: ovarian, endometrial, and cervical. Using the publications found, we highlight various socioeconomic and environmental factors that may influence epigenetic mechanisms and further disparities in cancer incidence, mortality, and treatment. This narrative review exposes existing gaps in evidence and provides recommendations of future preventive efforts that can target the mitigation of gynecologic cancer disparities.

Palliative Medicine Referral and End-of-Life Interventions Among Racial and Ethnic Minority Patients With Advanced or Recurrent Gynecologic Cancer

BACKGROUND

Referral to palliative medicine (PM) has been shown to improve quality of life, reduce hospitalizations, and improve survival. Limited data exist about PM utilization among racial minorities with gynecologic malignancies. Our objective was to assess differences in palliative medicine referrals and end of life interventions (within the last 30 days of life) by race and ethnicity in a diverse population of gynecologic oncology patients.

METHODS

A retrospective cohort study of patients receiving gynecologic oncologic care at a tertiary referral center between 2017 - 2019 was conducted. Patients had either metastatic disease at the time of diagnosis or recurrence. Demographic and clinical data were abstracted. Exploratory analyses were done using chi-square and rank sum tests. Tests were two-sided with significance set at P < .05.

RESULTS

A total of 186 patients were included. Of those, 82 (44.1%) were referred to palliative medicine. Underrepresented minorities accounted for 47.3% of patients. English was identified as the primary language for 69.9% of the patients and Spanish in 24.2%. Over 90% of patients had insurance coverage. Ovarian cancer (37.6%) and uterine cancer (32.8%) were the most common sites of origin. Most patients (75%) had advanced stage at the time of diagnosis. Race and language spoken were not associated with referral to PM. Black patients were more likely to have been prescribed appetite stimulants compared to White patients (41% vs 24%, P = .038). Black patients also had a higher number of emergency department visits compared to White patients during the study timeframe. Chemotherapy in the last 30 days of life was also more likely to be given to Black patients compared to White (P = .019).

CONCLUSIONS

Race was associated with variation in interventions and healthcare utilization near end-of-life. Understanding the etiologies of these differences is crucial to inform interventions for care optimization as it relates specifically to the health of minority patients.

Alarming trends and disparities in high-risk endometrial cancer

PURPOSE OF REVIEW

To summarize the most recent publications highlighting the trends and disparities among patients diagnosed with high-risk endometrial cancer.

RECENT FINDINGS

Endometrial cancer mortality continues to rise, driven by the increasing incidence of high-risk histologic subtypes that accounts for a disproportionate number of endometrial cancer deaths. The lack of progress made in endometrial cancer treatment, particularly of high-risk histologic subtypes, disproportionately affects black women who are more likely to be diagnosed with these aggressive tumor types. Even when accounting for high-risk histology, various factors across the spectrum of care may influence the survival disparities between black and white women, including timely access to guideline-concordant care, clinical trial enrollment, and systemic racism that impacts cancer outcomes.

SUMMARY

In this review, we highlight the disproportionate impact of worsening endometrial cancer mortality and healthcare inequalities contributing to the endometrial cancer survival disparity between black and white women.