Racialized economic segregation and inequities in treatment initiation and survival among patients with metastatic breast cancer.

PURPOSE: Racialized economic segregation, a form of structural racism, may drive persistent inequities among patients with breast cancer. We examined whether a composite area-level index of racialized economic segregation was associated with real-world treatment and survival in metastatic breast cancer (mBC). METHODS: We conducted a retrospective cohort study among adult women with mBC using a US nationwide electronic health record-derived de-identified database (2011-2022). Population-weighted quintiles of the index of concentration at the extremes were estimated using census tract data. To identify inequities in time to treatment initiation (TTI) and overall survival (OS), we employed Kaplan-Meier methods and estimated hazard ratios (HR) adjusted for clinical factors. RESULTS: The cohort included 27,459 patients. Compared with patients from the most privileged areas, those from the least privileged areas were disproportionately Black (36.9% vs. 2.6%) or Latinx (13.2% vs. 2.6%) and increasingly diagnosed with de novo mBC (33.6% vs. 28.9%). Those from the least privileged areas had longer median TTI than those from the most privileged areas (38 vs 31 days) and shorter median OS (29.7 vs 39.2 months). Multivariable-adjusted HR indicated less timely treatment initiation (HR 0.87, 95% CI 0.83, 0.91, p < 0.01) and worse OS (HR 1.19, 95% CI 1.13, 1.25, p < 0.01) among those from the least privileged areas compared to the most privileged areas. CONCLUSION: Racialized economic segregation is a social determinant of health associated with treatment and survival inequities in mBC. Public investments directly addressing racialized economic segregation and other forms of structural racism are needed to reduce inequities in cancer care and outcomes.

Socioecologic Factors and Racial Differences in Breast Cancer Multigene Prognostic Scores in US Women.

Importance: Disproportionately aggressive tumor biology among non-Hispanic Black women with early-stage, estrogen receptor (ER)-positive breast cancer contributes to racial disparities in breast cancer mortality. It is unclear whether socioecologic factors underlie racial differences in breast tumor biology. Objective: To examine individual-level (insurance status) and contextual (area-level socioeconomic position and rural or urban residence) factors as possible mediators of racial and ethnic differences in the prevalence of ER-positive breast tumors with aggressive biology, as indicated by a high-risk gene expression profile. Design, Setting, and Participants: This retrospective cohort study included women 18 years or older diagnosed with stage I to II, ER-positive breast cancer between January 1, 2007, and December 31, 2015. All data analyses were conducted between December 2022 and April 2023. Main Outcomes and Measures: The primary outcome was the likelihood of a high-risk recurrence score (RS) (≥26) on the Oncotype DX 21-gene breast tumor prognostic genomic biomarker. Results: Among 69 139 women (mean [SD] age, 57.7 [10.5] years; 6310 Hispanic [9.1%], 274 non-Hispanic American Indian and Alaskan Native [0.4%], 6017 non-Hispanic Asian and Pacific Islander [8.7%], 5380 non-Hispanic Black [7.8%], and 51 158 non-Hispanic White [74.0%]) included in our analysis, non-Hispanic Black (odds ratio [OR], 1.33; 95% CI, 1.23-1.43) and non-Hispanic American Indian and Alaska Native women (OR, 1.38; 95% CI, 1.01-1.86) had greater likelihood of a high-risk RS compared with non-Hispanic White women. There were no significant differences among other racial and ethnic groups. Compared with non-Hispanic White patients, there were greater odds of a high-risk RS for non-Hispanic Black women residing in urban areas (OR, 1.35; 95% CI, 1.24-1.46), but not among rural residents (OR, 1.05; 95% CI, 0.77-1.41). Mediation analysis demonstrated that lack of insurance, county-level disadvantage, and urban vs rural residence partially explained the greater odds of a high-risk RS among non-Hispanic Black women (proportion mediated, 17%; P < .001). Conclusions and Relevance: The findings of this cohort study suggest that the consequences of structural racism extend beyond inequities in health care to drive disparities in breast cancer outcome. Additional research is needed with more comprehensive social and environmental measures to better understand the influence of social determinants on aggressive ER-positive tumor biology among racial and ethnic minoritized women from disadvantaged and historically marginalized communities.

Reduction in Breast Cancer Death With Adjuvant Chemotherapy Among US Women According to Race, Ethnicity, and the 21-Gene Recurrence Score.

BACKGROUND: We previously showed the 21-gene breast recurrence score (RS) has lower prognostic accuracy for non-Hispanic Black (NHB) compared with non-Hispanic White (NHW) women with estrogen receptor (ER)-positive/HER2-negative breast cancer. The purpose of this study was to determine the clinical validity of the RS for predicting chemotherapy benefit as recommended in the current NCCN Guidelines for Breast Cancer among women from diverse racial/ethnic groups. METHODS: Using the SEER Oncotype database, we estimated propensity score-weighted hazard ratios (HRs) and 95% confidence intervals for breast cancer death with chemotherapy for women with ER-positive/HER2-negative, AJCC stages I-II, axillary node-negative, invasive breast cancer according to race/ethnicity. RESULTS: We included 6,033 (8.2%) Asian/Pacific Islander (API), 5,697 (7.8%) NHB, 6,688 (9.1%) Hispanic, and 54,945 (74.9%) NHW women. Breast cancer death was reduced with chemotherapy for NHB (HR, 0.48, 95% CI, 0.28-0.81), Hispanic (HR, 0.48; 95% CI, 0.25-0.94), and NHW (HR, 0.80; 95% CI, 0.65-0.99) women with an RS of 26 to 100. There was a nonsignificant reduction for API women (HR, 0.59; 95% CI, 0.28-1.24). For women with an RS of 11 to 25, there was no reduction in death for any racial/ethnic group. Among women aged ≤50 years, the reduction in breast cancer death with chemotherapy differed according to race (NHB: HR, 0.37 [95% CI, 0.20-0.67]; NHW: HR, 0.56 [95% CI, 0.44-0.74]; Pinteraction for chemotherapy * race <.0499). An exploratory subgroup analysis found that young NHB women may benefit from chemotherapy at a lower RS cutoff than other women. CONCLUSIONS: The RS was clinically validated as a predictive biomarker for NHB, Hispanic, and NHW women with ER-positive, axillary node-negative breast cancer, but it may underestimate the benefit of chemotherapy for young NHB women. If this finding is confirmed, the RS cutoff for recommending adjuvant chemotherapy for young NHB women with ER-positive, axillary node-negative breast cancer may need to be lower than for other women.

Guideline concordance and antibiotic-associated adverse events between Veterans administration and non-Veterans administration dental settings: a retrospective cohort study.

Background: Antibiotics prescribed as infection prophylaxis prior to dental procedures have the potential for serious adverse drug events (ADEs). However, the extent to which guideline concordance and different dental settings are associated with ADEs from antibiotic prophylaxis is unknown. Aim: The purpose was to assess guideline concordance and antibiotic-associated ADEs and whether it differs by VA and non-VA settings. Methods: Retrospective cohort study of antibiotic prophylaxis prescribed to adults with cardiac conditions or prosthetic joints from 2015 to 2017. Multivariable logistic regression models were fit to assess the impact of ADEs, guideline concordance and dental setting. An interaction term of concordance and dental setting evaluated whether the relationship between ADEs and concordance differed by setting. Results: From 2015 to 2017, 61,124 patients with antibiotic prophylaxis were identified with 62 (0.1%) having an ADE. Of those with guideline concordance, 18 (0.09%) had an ADE while 44 (0.1%) of those with a discordant antibiotic had an ADE (unadjusted OR: 0.84, 95% CI: 0.49-1.45). Adjusted analyses showed that guideline concordance was not associated with ADEs (OR: 0.78, 95% CI: 0.25-2.46), and this relationship did not differ by dental setting (Wald χ^2 p-value for interaction = 0.601). Conclusion: Antibiotic-associated ADEs did not differ by setting or guideline concordance.

Risk of contralateral breast cancer among Asian/Pacific Islander women in the United States.

PURPOSE: While breast cancer studies often aggregate Asian/Pacific Islander (API) women, as a single group or exclude them, this population is heterogeneous in terms of genetic background, environmental exposures, and health-related behaviors, potentially resulting in different cancer outcomes. Our purpose was to evaluate risks of contralateral breast cancer (CBC) among subgroups of API women with breast cancer. METHODS: We conducted a retrospective cohort study of women ages 18 + years diagnosed with stage I-III breast cancer between 2000 and 2016 in the Surveillance, Epidemiology and End Results registries. API subgroups included Chinese, Japanese, Filipina, Native Hawaiian, Korean, Vietnamese, Indian/Pakistani, and other API women. Asynchronous CBC was defined as breast cancer diagnosed in the opposite breast 12 + months after first primary unilateral breast cancer. Multivariable-adjusted subdistribution hazard ratios (SHR) and 95% confidence intervals (CI) were estimated and stratified by API subgroups. RESULTS: From a cohort of 44,362 API women with breast cancer, 25% were Filipina, 18% were Chinese, 14% were Japanese, and 8% were Indian/Pakistani. API women as an aggregate group had increased risk of CBC (SHR 1.15, 95% CI 1.08-1.22) compared to NHW women, among whom Chinese (SHR 1.23, 95% CI 1.08-1.40), Filipina (SHR 1.37, 95% CI 1.23-1.52), and Native Hawaiian (SHR 1.69, 95% CI 1.37-2.08) women had greater risks. CONCLUSION: Aggregating or excluding API patients from breast cancer studies ignores their heterogeneous health outcomes. To advance cancer health equity among API women, future research should examine inequities within the API population to design interventions that can adequately address their unique differences.

Sociodemographic associations with uptake of novel therapies for acute myeloid leukemia.

Inequitable uptake of novel therapies (NT) in non-cancer settings are known for patients with lower socioeconomic status (SES), People of Color (POC), and older adults. NT uptake equity in acute myeloid leukemia (AML) is not well known. We performed a retrospective cohort study (1/2014-8/2022) of the United States nationwide Flatiron HealthTM electronic health record-derived, de-identified database. We estimated sociodemographic associations with AML NT receipt using incidence rate ratios (IRR). Odds ratios (OR) assessed differences in venetoclax (the most common NT) receipt at community sites and between site characteristics and NT adoption. Of 8081 patients (139 sites), 3102 (38%) received a NT. NT use increased annually (IRR 1.14, 95% confidence interval [1.07, 1.22]). NT receipt was similar between Non-Hispanic-Whites and POC (IRR 1.03, [0.91, 1.17]) and as age increased (IRR 1.02 [0.97, 1.07]). At community sites, Non-Hispanic-Whites were less likely to receive venetoclax (OR 0.77 [0.66, 0.91]); older age (OR 1.05 [1.04, 1.05]) and higher area-level SES were associated with venetoclax receipt (OR 1.23 [1.05, 1.43]). Early NT adopting sites had more prescribing physicians (OR 1.25 [1.13, 1.43]) and higher SES strata patients (OR 2.81 [1.08, 7.66]). Inequities in AML NT uptake were seen by SES; for venetoclax, differential uptake reflects its label indication for older adults and those with comorbidities.

Patterns of prescription opioid use and opioid-related harms among adult patients with hematologic malignancies.

INTRODUCTION: Treatment advances for hematologic malignancies (HM) have dramatically improved life expectancy, necessitating greater focus on long-term cancer pain management. This study explored real-world patterns of opioid use among patients with HM. METHODS: This retrospective cohort study identified adults diagnosed with HM from January 1, 2013 through December 31, 2019 using the Truven MarketScan Commercial Claims and Encounters database. Across several HM types, we described rates of high-risk opioid use (based on Pharmacy Quality Alliance measures) and opioid-related harms, including incident opioid use disorder (OUD) diagnoses and opioid-related hospitalizations or emergency department (ED) visits. We used multivariable Cox regression to generate adjusted hazard ratios and 95% confidence intervals comparing the risk of opioid-related harms between patients with versus without high-risk opioid use. RESULTS: Our sample included 43,190 patients with HM. Median age at HM diagnosis was 54 years (interquartile range = 44-60). Most patients (61.9%) were diagnosed with lymphoma. Approximately half (49.2%) had an opioid dispensed in the follow-up period. Among all patients, 20.0% met criteria for high-risk opioid use, 0.9% had an OUD diagnosis, and 0.3% experienced an opioid-related hospitalization/ED visit in follow-up. High-risk opioid use increased the risk of an OUD diagnosis by 3.3 times (p < 0.0001) and an opioid-related hospitalization/ED visit 4.2 times (p < 0.0001). CONCLUSION: High-risk opioid use was prevalent among patients with HM and significantly increased the risk of opioid-related harms. However, rates of opioid-related harms were low. These findings highlight the importance of continually monitoring pain and opioid use throughout HM survivorship to provide safe, effective HM pain management.

Sociodemographic Inequities in Telemedicine Use Among US Patients Initiating Treatment in Community Cancer Centers During the Ongoing COVID-19 Pandemic, 2020-2022.

PURPOSE: Although telemedicine was seen as a way to improve cancer care during the coronavirus disease (COVID-19) pandemic, there is limited information regarding inequities in its uptake. This study assessed sociodemographic factors associated with telemedicine use among patients initiating treatment for 20 common cancers. METHODS: This retrospective cohort study used deidentified electronic health record-derived patient data from a nationwide network of community cancer practices, linked to area-level Census information. We included adults (age 18 years and older) who initiated first-line systemic cancer treatment between March 2020 and December 2022 (follow-up through March 2023). Exposures include race/ethnicity, insurance status, and area-level social determinants of health (eg, block group socioeconomic status [SES]). The outcome was telemedicine use within 90 days after treatment initiation. Associations were examined using logistic regression models adjusted for age, sex, performance status, stage, and cancer type. RESULTS: This study included 36,993 patients (48.6% women; median age, 69 years), of whom 15.1% used telemedicine services. Black (12.2%; odds ratio [OR], 0.78 [95% CI, 0.70 to 0.88]) and uninsured (9.2%; OR, 0.59 [95% CI, 0.48 to 0.73]) patients were less likely to use telemedicine services than their White and well-insured counterparts (14.5% and 15.0%, respectively). Patients in rural (9.7%; OR, 0.54 [95% CI, 0.46 to 0.57]), suburban (11.8%; OR, 0.67 [95% CI, 0.61 to 0.74]), and low SES areas (9.9%; OR, 0.39 [95% CI, 0.35 to 0.43]) were less also likely to use telemedicine than their counterparts in urban (16.6%) or high SES (21.6%) areas. CONCLUSION: Nearly one sixth of patients initiating cancer treatment during the pandemic used telemedicine, but there were substantial inequities. The proliferation of telemedicine may perpetuate cancer care inequities if marginalized populations do not have equitable access.

Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022.

BACKGROUND: Lower neighborhood socioeconomic status (SES) is associated with suboptimal cancer care and reduced survival. Most studies examining cancer inequities across area-level socioeconomic status tend to use less granular or unidimensional measures and pre-date the COVID-19 pandemic. Here, we examined the association of area-level socioeconomic status on real-world treatment initiation and overall survival among adults with 20 common cancers. METHODS: This retrospective cohort study used electronic health record-derived deidentified data (Flatiron Health Research Database, 2011-2022) linked to US Census Bureau data from the American Community Survey (2015-2019). Area-level socioeconomic status quintiles (based on a measure incorporating income, home values, rental costs, poverty, blue-collar employment, unemployment, and education information) were computed from the US population and applied to patients based on their mailing address. Associations were examined using Cox proportional hazards models adjusted for diagnosis year, age, sex, performance status, stage, and cancer type. RESULTS: This cohort included 291 419 patients (47.7% female; median age = 68 years). Patients from low-SES areas were younger and more likely to be Black (21.9% vs 3.3%) or Latinx (8.4% vs 3.0%) than those in high-SES areas. Living in low-SES areas (vs high) was associated with lower treatment rates (hazard ratio = 0.94 [95% confidence interval = 0.93 to 0.95]) and reduced survival (median real-world overall survival = 21.4 vs 29.5 months, hazard ratio = 1.20 [95% confidence interval = 1.18 to 1.22]). Treatment and survival inequities were observed in 9 and 19 cancer types, respectively. Area-level socioeconomic inequities in treatment and survival remained statistically significant in the COVID-19 era (after March 2020). CONCLUSION: To reduce inequities in cancer outcomes, efforts that target marginalized, low-socioeconomic status neighborhoods are necessary.

Changes in antibiotic prescribing by dentists in the United States, 2012-2019.

OBJECTIVES: Dentists prescribe 10% of all outpatient antibiotics in the United States and are the top specialty prescriber. Data on current antibiotic prescribing trends are scarce. Therefore, we evaluated trends in antibiotic prescribing rates by dentists, and we further assessed whether these trends differed by agent, specialty, and by patient characteristics. DESIGN: Retrospective study of dental antibiotic prescribing included data from the IQVIA Longitudinal Prescription Data set from January 1, 2012 to December 31, 2019. METHODS: The change in the dentist prescribing rate and mean days' supply were evaluated using linear regression models. RESULTS: Dentists wrote >216 million antibiotic prescriptions between 2012 and 2019. The annual dental antibiotic prescribing rate remained steady over time (P = .5915). However, the dental prescribing rate (antibiotic prescriptions per 1,000 dentists) increased in the Northeast (by 1,313 antibiotics per 1,000 dentists per year), among oral and maxillofacial surgeons (n = 13,054), prosthodontists (n = 2,381), endodontists (n = 2,255), periodontists (n = 1,961), and for amoxicillin (n = 2,562; P < .04 for all). The mean days' supply significantly decreased over the study period by 0.023 days per 1,000 dentists per year (P < .001). CONCLUSIONS: From 2012 to 2019, dental prescribing rates for antibiotics remained unchanged, despite decreases in antibiotic prescribing nationally and changes in guidelines during the study period. However, mean days' supply decreased over time. Dental specialties, such as oral and maxillofacial surgeons, had the highest prescribing rate with increases over time. Antibiotic stewardship efforts to improve unnecessary prescribing by dentists and targeting dental specialists may decrease overall antibiotic prescribing rates by dentists.

Racial and Ethnic Inequities in US Oncology Clinical Trial Participation From 2017 to 2022.

Importance: There is increasing recognition from regulatory agencies that racial and ethnic representation in clinical trials is inadequate and linked to health inequities. The extent of racial inequities in clinical trial participation is unclear because prior studies have synthesized enrollment data from published trials, which often do not report participant race and ethnicity. Objective: To evaluate racial and ethnic inequities in oncology clinical trial participation in a contemporary cohort of patients with cancer before and during the COVID-19 pandemic. Design, Setting, and Participants: This cohort study used a nationwide electronic health record-derived deidentified database, which includes data for approximately 280 US cancer clinics (approximately 800 sites of care). The study included Latinx, non-Latinx Black (hereinafter, Black), and non-Latinx White (reference; hereinafter, White) patients aged 18 years or older who had been diagnosed with advanced non-small cell lung cancer, metastatic colorectal cancer, metastatic breast cancer, multiple myeloma, or metastatic pancreatic cancer between January 1, 2017, and June 30, 2022 (follow-up through December 31, 2022). Data analysis was performed between August 1, 2022, and February 7, 2023. Exposures: Electronic health record-documented race and ethnicity. Main Outcomes and Measures: The main outcome was oncology trial participation (ie, receipt of a clinical study drug). Stratified cause-specific hazard models were used to estimate adjusted hazard ratios (HRs) and 95% CIs for likelihood of participation. Participation was assessed overall, by cancer type, and by period of diagnosis (2017-2019 vs 2020-2022). Results: Of the 50 411 patients in this study, 28 878 (57.3%) were women and 21 533 (42.7%) were men. Black and Latinx patients were younger than White patients, with a median age of 65 (IQR, 57-72), 64 (IQR, 54-73), and 68 (IQR, 60-76) years, respectively. Oncology trial participation was lower among Black patients (307 of 6912 [4.4%]) and Latinx patients (166 of 3973 [4.2%]) relative to White patients (2858 of 39 526 [7.2%]) over the entire study period. Inequities in participation were observed across the 5 cancer types studied, with notably large inequities observed among Black patients (HR, 0.54 [95% CI, 0.36-0.81]) and Latinx patients (HR, 0.46 [95% CI, 0.27-0.77]) with metastatic pancreatic cancer. Moreover, inequities between Black and White patients in terms of participation widened among those diagnosed in the COVID-19 era (2020-2022: HR, 0.49 [95% CI, 0.40-0.60] vs 1.00 [95% CI, 0.93-1.09]) relative to those diagnosed before the pandemic (2017-2019: HR, 0.61 [95% CI, 0.53-0.70] vs 1 [reference]). Conclusions and Relevance: The findings of this cohort study suggest that oncology trial participation was lower among Black and Latinx patients relative to White patients across all 5 cancer types examined. These findings, including potentially widening inequities in the COVID-19 era, support the need for regulatory guidance to improve enrollment of participants from historically excluded racial and ethnic populations in clinical trials.

Comparison of guideline concordant antibiotic prophylaxis in Veterans Affairs and non-Veterans Affairs dental settings among those with cardiac conditions or prosthetic joints.

BACKGROUND: No research has been conducted to assess whether antibiotic prophylaxis prescribing differs by dental setting. Therefore, the goal of this study was to compare the prescribing of antibiotic prophylaxis in Veterans Affairs (VA) and non-Veterans Affairs settings. METHODS: This was a retrospective study of veteran and non-veteran dental patients with cardiac conditions or prosthetic joints between 2015-2017. Multivariable log binomial regression analysis was conducted to compare concordant prescribing by setting with a sub-analysis for errors of dosing based on antibiotic duration (i.e., days prescribed). RESULTS: A total of 61,124 dental visits that received a prophylactic antibiotic were included. Most were male (61.0%), and 55 years of age or older (76.2%). Nearly a third (32.7%) received guideline concordant prophylaxis. VA dental settings had a lower prevalence of guideline concordant prescribing compared to non-VA settings in unadjusted results (unadjusted prevalence ratio [uPR] = 0.92, 95% CI: 0.90-0.95). After adjustment, prevalence of guideline concordant prescribing was higher in those with prosthetic joints in the VA setting (adjusted prevalence ratio [aPR] = 1.73, 95% CI: 1.59-1.88), with no difference identified in those without a prosthetic joint (aPR = 0.99, 95% CI: 0.96-1.01). Concordance of dosing was higher in VA compared to non-VA settings (aPR = 1.11, 95% CI: 1.07-1.15). CONCLUSIONS: VA has a higher prevalence of guideline concordant prescribing among those with prosthetic joints and when assessing dosing errors. Though the presence of an integrated electronic health record (EHR) may be contributing to these differences, other system or prescriber-related factors may be responsible. Future studies should focus on to what extent the integrated EHR may be responsible for increased guideline concordant prescribing in the VA setting.

Inverse Probability of Treatment Weighting and Confounder Missingness in Electronic Health Record-based Analyses: A Comparison of Approaches Using Plasmode Simulation.

BACKGROUND: Electronic health record (EHR) data represent a critical resource for comparative effectiveness research, allowing investigators to study intervention effects in real-world settings with large patient samples. However, high levels of missingness in confounder variables is common, challenging the perceived validity of EHR-based investigations. METHODS: We investigated performance of multiple imputation and propensity score (PS) calibration when conducting inverse probability of treatment weights (IPTW)-based comparative effectiveness research using EHR data with missingness in confounder variables and outcome misclassification. Our motivating example compared effectiveness of immunotherapy versus chemotherapy treatment of advanced bladder cancer with missingness in a key prognostic variable. We captured complexity in EHR data structures using a plasmode simulation approach to spike investigator-defined effects into resamples of a cohort of 4361 patients from a nationwide deidentified EHR-derived database. We characterized statistical properties of IPTW hazard ratio estimates when using multiple imputation or PS calibration missingness approaches. RESULTS: Multiple imputation and PS calibration performed similarly, maintaining ≤0.05 absolute bias in the marginal hazard ratio even when ≥50% of subjects had missing at random or missing not at random confounder data. Multiple imputation required greater computational resources, taking nearly 40 times as long as PS calibration to complete. Outcome misclassification minimally increased bias of both methods. CONCLUSION: Our results support multiple imputation and PS calibration approaches to missingness in missing completely at random or missing at random confounder variables in EHR-based IPTW comparative effectiveness analyses, even with missingness ≥50%. PS calibration represents a computationally efficient alternative to multiple imputation.

Mediation of Racial and Ethnic Inequities in the Diagnosis of Advanced-Stage Cervical Cancer by Insurance Status.

Importance: Black and Hispanic or Latina women are more likely than White women to receive a diagnosis of and to die of cervical cancer. Health insurance coverage is associated with diagnosis at an earlier stage of cervical cancer. Objective: To evaluate the extent to which racial and ethnic differences in the diagnosis of advanced-stage cervical cancer are mediated by insurance status. Design, Setting, and Participants: This retrospective, cross-sectional population-based study used data from the Surveillance, Epidemiology, and End Results (SEER) program on an analytic cohort of 23 942 women aged 21 to 64 years who received a diagnosis of cervical cancer between January 1, 2007, and December 31, 2016. Statistical analysis was performed from February 24, 2022, to January 18, 2023. Exposures: Health inusurance status (private or Medicare insurance vs Medicaid or uninsured). Main Outcomes and Measures: The primary outcome was a diagnosis of advanced-stage cervical cancer (regional or distant stage). Mediation analyses were performed to assess the proportion of observed racial and ethnic differences in the stage at diagnosis that were mediated by health insurance status. Results: A total of 23 942 women (median age at diagnosis, 45 years [IQR, 37-54 years]; 12.9% were Black, 24.5% were Hispanic or Latina, and 52.9% were White) were included in the study. A total of 59.4% of the cohort had private or Medicare insurance. Compared with White women, patients of all other racial and ethnic groups had a lower proportion with a diagnosis of early-stage cervical cancer (localized) (American Indian or Alaska Native, 48.7%; Asian or Pacific Islander, 49.9%; Black, 41.7%; Hispanic or Latina, 51.6%; and White, 53.3%). A larger proportion of women with private or Medicare insurance compared with women with Medicaid or uninsured received a diagnosis of an early-stage cancer (57.8% [8082 of 13 964] vs 41.1% [3916 of 9528]). In models adjusting for age, year of diagnosis, histologic type, area-level socioeconomic status, and insurance status, Black women had higher odds of receiving a diagnosis of advanced-stage cervical cancer compared with White women (odds ratio, 1.18 [95% CI, 1.08-1.29]). Health insurance was associated with mediation of more than half (ranging from 51.3% [95% CI, 51.0%-51.6%] for Black women to 55.1% [95% CI, 53.9%-56.3%] for Hispanic or Latina women) the racial and ethnic inequities in the diagnosis of advanced-stage cervical cancer across all racial and ethnic minority groups compared with White women. Conclusions and Relevance: This cross-sectional study of SEER data suggests that insurance status was a substantial mediator of racial and ethnic inequities in advanced-stage cervical cancer diagnoses. Expanding access to care and improving the quality of services rendered for uninsured patients and those covered by Medicaid may mitigate the known inequities in cervical cancer diagnosis and related outcomes.

Assessing the Contribution of Scanned Outside Documents to the Completeness of Real-World Data Abstraction.

PURPOSE: Electronic health record (EHR) data are widely used in precision medicine, quality improvement, disease surveillance, and population health management. However, a significant amount of EHR data are stored in unstructured formats including scanned documents external to the treatment facility presenting an informatics challenge for secondary use. Studies are needed to characterize the clinical information uniquely available in scanned outside documents (SODs) to understand to what extent the availability of such information affects the use of these real-world data for cancer research. MATERIALS AND METHODS: Two independent EHR data abstractions capturing 30 variables commonly used in oncology research were conducted for 125 patients treated for advanced non-small-cell lung cancer at a comprehensive cancer center, with and without consideration of SODs. Completeness and concordance were compared between the two abstractions, overall, and by patient groups and variable types. RESULTS: The overall completeness of the data with SODs was 77.6% as compared with 54.3% for the abstraction without SODs. The differences in completeness were driven by data related to biomarker tests, which were more likely to be uniquely available in SODs. Such data were prone to missingness among patients who were diagnosed externally. CONCLUSION: There were no major differences in completeness between the two abstractions by demographics, diagnosis, disease progression, performance status, or oral therapy use. However, biomarker data were more likely to be uniquely contained in the SODs. Our findings may help cancer centers prioritize the types of SOD data being abstracted for research or other secondary purposes.

Association of Social Determinants and Tumor Biology With Racial Disparity in Survival From Early-Stage, Hormone-Dependent Breast Cancer.

Importance: Black women with hormone receptor-positive breast cancer experience the greatest racial disparity in survival of all breast cancer subtypes. The relative contributions of social determinants of health and tumor biology to this disparity are uncertain. Objective: To determine the proportion of the Black-White disparity in breast cancer survival from estrogen receptor (ER)-positive, axillary node-negative breast cancer that is associated with adverse social determinants and high-risk tumor biology. Design, Setting, and Participants: A retrospective mediation analysis of factors associated with the racial disparity in breast cancer death for cases diagnosed between 2004 and 2015 with follow-up through 2016 was carried out using the Surveillance, Epidemiology, and End Results (SEER) Oncotype registry. The study included women in the SEER-18 registry who were aged 18 years or older at diagnosis of a first primary invasive breast cancer tumor that was axillary node-negative and ER-positive, who were Black (Black), non-Hispanic White (White), and for whom the 21-gene breast recurrence score was available. Data analysis took place between March 4, 2021, and November 15, 2022. Exposures: Census tract socioeconomic disadvantage, insurance status, tumor characteristics including the recurrence score, and treatment variables. Main Outcomes and Measures: Death due to breast cancer. Results: The analysis with 60 137 women (mean [IQR] age 58.1 [50-66] years) included 5648 (9.4%) Black women and 54 489 (90.6%) White women. With a median (IQR) follow-up time of 56 (32-86) months, the age-adjusted hazard ratio (HR) for breast cancer death among Black compared with White women was 1.82 (95% CI, 1.51-2.20). Neighborhood disadvantage and insurance status together mediated 19% of the disparity (mediated HR, 1.62; 95% CI, 1.31-2.00; P < .001) and tumor biological characteristics mediated 20% (mediated HR, 1.56; 95% CI, 1.28-1.90; P < .001). A fully adjusted model that included all covariates accounted for 44% of the racial disparity (mediated HR, 1.38; 95% CI, 1.11-1.71; P < .001). Neighborhood disadvantage mediated 8% of the racial difference in the probability of a high-risk recurrence score (P = .02). Conclusions and Relevance: In this study, racial differences in social determinants of health and indicators of aggressive tumor biology including a genomic biomarker were equally associated with the survival disparity in early-stage, ER-positive breast cancer among US women. Future research should examine more comprehensive measures of socioecological disadvantage, molecular mechanisms underlying aggressive tumor biology among Black women, and the role of ancestry-related genetic variants.

Trends in dispensed prescriptions for opioids, sedatives, benzodiazepines, gabapentin, and stimulants to children by general dentists, 2012-2019.

PURPOSE: Opioids, benzodiazepines and sedatives can manage dental pain, fear and anxiety but have a narrow margin of safety in children. General dentists may inappropriately prescribe gabapentin and stimulants. National evidence on dispensing rates of these high-alert medicines by dentists to children is limited. METHODS: We utilize join-point regression to identify changes in fills for opioids, sedatives, benzodiazepines, gabapentin, and stimulants to children <18 years from 2012 to 2019 in a national dataset comprising 92% of dispensed outpatient prescriptions by dentists. RESULTS: From 2012 to 2019, 3.8 million children filled prescriptions for high-alert drugs from general dentists. National quarterly dispensing of high-alert drugs decreased 63.1%, from 10456.0 to 3858.8 days per million. Opioids accounted for 69.4% of high-alert prescriptions. From 2012 to 2019, fills for opioids, sedatives, benzodiazepines, and stimulants decreased by 65.2% (7651.8 to 2662.7), 43.4% (810.9 to 458.7), 43.6% (785.7 to 442.7) and 89.3% (825.6 to 88.6 days per million), respectively. Gabapentin increased 8.1% (121.8 to 131.7 days per million). A significant decrease in high-alert fills occurred in 2016, (-6.0% per quarter vs. -1.6% pre-2016, P-value<0.001), especially for opioids (-7.0% vs. -1.2%, P-value<0.001). Older teenagers (15-17 years) received 42.5% of high-alert prescriptions. Low-income counties in the South were overrepresented among top-prescribing areas in 2019. CONCLUSIONS: We found promising national decreases in fills for high-alert medicines to children by general dentists from 2012 to 2019. However, older teenagers and children in some counties continued to receive dental opioids at high rates. Future efforts should address non-evidence-based pain management in these groups.