Socioeconomic disparities and outcomes in midgut neuroendocrine tumors.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 613-613
Author(s):  
Nicholas Manguso ◽  
Jessica Crystal ◽  
Brian Cox ◽  
Shirley C Paski ◽  
Andrew Eugene Hendifar ◽  
...  
Keyword(s):  
Socioeconomic Factors ◽  
Neuroendocrine Tumors ◽  
Demographic Data ◽  
Private Insurance ◽  
Academic Research ◽  
Socioeconomic Disparities ◽  
Cancer Center ◽  
Median Income ◽  
Metro Area ◽  
Lower Education

613 Background: Demographic and socioeconomic disparities have been shown to effect cancer specific outcomes in numerous malignancies but the effect in midgut neuroendocrine tumors (mNETs) is unknown. We sought to investigate whether these factors are associated with survival in mNETs. Methods: The NCDB was queried to identify patients with mNETs between 2004 and 2015. Only patients treated at a single hospital with complete data were included. Overall Survival (OS) was compared based on demographic data, socioeconomic factors, insurance status and place of living. Results: A total of 14,083 patients were identified with a mean age of 72 years (range 18-90). The majority of patients were Caucasian (83.9%) and male (50.9%). Most patients had private insurance (50.5%) or medicare (41.3%). Patients typically lived in larger metropolitan areas (51.5%) and 60.7% lived in zip codes with median household incomes > $48,000. Only 14.7% lived in zip codes where > 20% did not graduate high school (no HSD). The majority were treated at community comprehensive cancer centers (43.8%) or academic/research centers (35.2%). Overall, 3358 (24.5%) presented with metastasis at diagnosis. The 5-year OS for the entire cohort was 78.5%. The 5-year survival was worse in patients with lower median income (73.8% [ < $38,000] vs 81.5% [ > $63,000],p < 0.0001), lower education (74.9% [ > 20% no HSD] vs 80.7% [ < 7% no HSD], p < 0.0001), those not living in proximity to a metro area (73.8% [not metro adjacent] vs 78.7% [metro/adjacent], p = 0.0004) and those treated at a community cancer center (73.6% [community] vs. 80.1% [academic], p < 0.0001). Factors predictive of worse OS were lower income ( < $38,000) (HR 1.16, 95% CI 1.04-1.28), lower education ( > 20% no HSD) (HR 1.14, 95% CI 1.02-1.26), no insurance (HR 1.66, 95% CI 1.33-2.06) and not living in proximity to a metro area (HR 1.27, 95% CI 1.10-1.47). Conclusions: Socioeconomic factors shown to have worse OS in patients with mNETs were lower median income, lower education, treatment at a community cancer center and not living in proximity to a metro area. Patient demographic and socioeconomic factors play an important role in OS for patients with mNETs and access to care must be considered in this subpopulation of cancer patients.

Racial and socioeconomic disparities in overall survival in colorectal cancer (CRC) at West Cancer Center & Research Institute (WCCRI), Memphis, TN.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16122-e16122
Author(s):  
Vanessa Wookey ◽  
Gabriella Bufalino ◽  
Gregory A. Vidal ◽  
Bradley G. Somer ◽  
Lee S. Schwartzberg ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Survival Data ◽  
Private Insurance ◽  
Socioeconomic Disparities ◽  
Cancer Center ◽  
Survival Outcomes ◽  
Median Income ◽  
Entire Cohort ◽  
Stage 4

e16122 Background: WCCRI, a comprehensive regional community oncology center in Memphis, Tennessee and the Mid-South region, serves a racially, geographically and socioeconomically diverse patient cohort. We sought to evaluate disparity of outcomes in survival by race and socioeconomic status, in addition to patient and tumor characteristics. Methods: All consecutive patients referred to and treated at WCCRI with colorectal adenocarcinoma from 2007-2013 were included. Individual chart review was performed to verify diagnosis, stage, and date and cause of death. Kaplan-Meier Overall Survival curves were generated for the entire cohort and by race, sex, tumor location and income derived from zip code. WCCRI survival data were compared to SEER data. Results: From 2007-2013, 1,176 patients were included in the analysis: 405 blacks, 757 whites, 14 others. Median age at diagnosis: Blacks 58 yrs, whites 61 yrs. Stage distribution at diagnosis: stage 1: 100, stage 2: 275, stage 3: 425, stage 4: 376. All stages combined, blacks trended towards shorter OS vs whites (5-year OS: 52.8% vs 58.3%; median survival 71.0 mos vs 98.6 mos; p= 0.095). Blacks presented at later stages (71.4% at stage 3 or 4 vs 66.3% for whites) but no statistically significant OS differences were seen when compared by stage. Patients at or below the median income of $39,590 for WCC had worse 5-year OS (51.6% vs. 61.1%; p= 0.006), as did patients without private insurance (5-year OS: uninsured: 48.0%, Medicare/Medicaid: 50.0%, private: 62.0%; p< 0.001). Adjusted for stage, 5-year OS was statistically significant for stage 4 (private: 18.0%, Medicare/Medicaid: 9.4%, uninsured: 8.3%; p= 0.020). A higher proportion of blacks were below the median income (69% vs 39%) but no statistically significant OS differences were seen when adjusted by race. Overall, cancer survival outcomes were similar to SEER results. Conclusions: At WCCRI, black patients with CRC presented at a later stage than whites, however, adjusted for stage, no significant racial difference in OS was found. Income and insurance status influenced survival outcomes. Overall, our results reveal racial and socioeconomic disparities in colorectal cancer in a diverse US population and further detailed multivariate data analyses are underway.

Racial and socioeconomic disparities in overall survival in colorectal cancer (CRC) at West Cancer Center (WCC), Memphis, TN.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 80-80
Author(s):  
Vanessa Wookey ◽  
Gabriella Bufalino ◽  
Gregory A. Vidal ◽  
Bradley G. Somer ◽  
Lee S. Schwartzberg ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Survival Data ◽  
Private Insurance ◽  
Socioeconomic Disparities ◽  
Cancer Center ◽  
Survival Outcomes ◽  
Median Income ◽  
Entire Cohort ◽  
Stage 4

80 Background: WCC, a comprehensive regional community oncology center in Memphis, Tennessee and the Mid-South region, serves a racially, geographically and socioeconomically diverse patient cohort. We sought to evaluate disparity of outcomes in survival by race and socioeconomic status, in addition to patient and tumor characteristics. Methods: All consecutive patients referred to and treated at WCC with colorectal adenocarcinoma from 2007-2013 were included. Individual chart review was performed to verify diagnosis, stage, and date and cause of death. Kaplan-Meier Overall Survival curves were generated for the entire cohort and by race, sex, tumor location and income derived from zip code. WCC survival data were compared to SEER data. Results: From 2007-2013, 1,176 patients were included in the analysis: 405 blacks, 757 whites, 14 others. Median age at diagnosis: Blacks 58 yrs, whites 61 yrs. Stage distribution at diagnosis: stage 1: 100, stage 2: 275, stage 3: 425, stage 4: 376. All stages combined, blacks trended towards shorter OS vs whites (5-year OS: 52.8% vs 58.3%; median survival 71.0 mos vs 98.6 mos; p= 0.095). Blacks presented at later stages (71.4% at stage 3 or 4 vs 66.3% for whites) but no statistically significant OS differences were seen when compared by stage. Patients at or below the median income of $39,590 for WCC had worse 5-year OS (51.6% vs. 61.1%; p= 0.006), as did patients without private insurance (5-year OS: uninsured: 48.0%, Medicare/Medicaid: 50.0%, private: 62.0%; p< 0.001). Adjusted for stage, 5-year OS was statistically significant for stage 4 (private: 18.0%, Medicare/Medicaid: 9.4%, uninsured: 8.3%; p= 0.020). A higher proportion of blacks were below the median income (69% vs 39%) but no statistically significant OS differences were seen when adjusted by race. Overall, cancer survival outcomes were similar to SEER results. Conclusions: At WCC, black patients with CRC presented at a later stage than whites, however, adjusted for stage, no significant racial difference in OS was found. Income and insurance status affected survival outcomes. Overall, our results reveal racial and socioeconomic disparities in colorectal cancer in a diverse US population.

Impact of Patient Socioeconomic Disparities on Time to Tympanostomy Tube Placement

2021 ◽  
pp. 000348942110157
Author(s):  
Jennifer L. McCoy ◽  
Ronak Dixit ◽  
R. Jun Lin ◽  
Michael A. Belsky ◽  
Amber D. Shaffer ◽  
...  
Keyword(s):  
Otitis Media ◽  
Otitis Media With Effusion ◽  
Private Insurance ◽  
Chronic Otitis Media ◽  
The United States ◽  
Socioeconomic Disparities ◽  
Tube Placement ◽  
Median Income ◽  
Public Insurance ◽  
Tympanostomy Tubes

Objectives: Extensive literature exists documenting disparities in access to healthcare for patients with lower socioeconomic status (SES). The objective of this study was to examine access disparities and differences in surgical wait times in children with the most common pediatric otolaryngologic surgery, tympanostomy tubes (TT). Methods: A retrospective cohort study was performed at a tertiary children’s hospital. Children ages <18 years who received a first set of tympanostomy tubes during 2015 were studied. Patient demographics and markers of SES including zip code, health insurance type, and appointment no-shows were recorded. Clinical measures included risk factors, symptoms, and age at presentation and first TT. Results: A total of 969 patients were included. Average age at surgery was 2.11 years. Almost 90% were white and 67.5% had private insurance. Patients with public insurance, ≥1 no-show appointment, and who lived in zip codes with the median income below the United States median had a longer period from otologic consult and preoperative clinic to TT, but no differences were seen in race. Those with public insurance had their surgery at an older age than those with private insurance ( P < .001) and were more likely to have chronic otitis media with effusion as their indication for surgery (OR: 1.8, 95% CI: 1.2-2.5, P = .003). Conclusions: Lower SES is associated with chronic otitis media with effusion and a longer wait time from otologic consult and preoperative clinic to TT placement. By being transparent in socioeconomic disparities, we can begin to expose systemic problems and move forward with interventions. Level of Evidence: 4

Comparison of the demographics of patients enrolled (E) versus those not enrolled (NE) on therapeutic clinical trials at a comprehensive cancer center

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 17065-17065
Author(s):  
S. Goodin ◽  
D. C. Vamos ◽  
M. P. Kane ◽  
J. Nishioka ◽  
S. Lisi ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Demographic Data ◽  
Private Insurance ◽  
Univariate Analysis ◽  
The Elderly ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Chi Square ◽  
Enrollment Rates

17065 Background: In the U.S., representation of minorities and the elderly in clinical trials has been low yet few reports have evaluated this potential barrier to enrollment by comparing the demographics of patients E vs NE within an institution. Therefore, we compared these groups to determine if there were significant differences in demographics at our center. Methods: For all E patients, demographic data is collected in a clinical trial database. For evaluated NE patients, data was captured through a ‘non-protocol’ form. A univariate analysis was performed on the demographic data, including gender, age, race, and insurance status, for each year to determine if there were differences in patients E vs NE on a therapeutic clinical trial. Results: From June 2003 through December 2005, there were 912 E patients and data available on 474 NE patients. The results were consistent for each year from 2003 to 2005, and therefore combinable, with no statistical difference in any parameter for E patients versus NE patients during any year with the exception of gender (p=0.05; Chi-square). The distribution of patients E by gender is 52% (474/912) female vs 48% (438/912) male and NE is 69% (325/474) female vs 31% (149/474) male. The mean age of E patients was 55 vs 56 years for NE patients, with 32% vs 33% representing those >65years, respectively. For the E patients, 84% were white, 7.2% black, 4.6% Asian, 4.2% unknown, and 0.4% Hawaiian/Pacific Islander (H/PI). For the NE patients, where race was not consistently available, 65% were white, 9.3% black, 3.2% Asian, 20.5% unknown, and 2.1% H/PI. In both groups, most patients had private insurance (E 60%, NE 54%), followed by Medicare (E 27.5%, NE 29%), Medicaid (E 4%, NE 9%), self pay (E 7.5%, NE 7.4%), and unknown (E 1.3%, NE 0.4%). Conclusions: When comparing E vs NE patients, gender was the only factor that differed significantly. Although this result suggests that males were more likely to be E in a clinical trial, this finding should be interpreted with caution, since this difference might relate to differences in trial availability. While lower enrollment rates for the elderly and minority patients have been identified nationally, enrolling this group of patients does not appear to be a barrier at our center. No significant financial relationships to disclose.

scholarly journals Socioeconomic Factors Affecting Discharge Status of Patients with Uncomplicated Transsphenoidal Adenohypophysectomy

2018 ◽  
Vol 79 (05) ◽  
pp. 501-507
Author(s):  
Jennifer Villwock ◽  
Kevin Sykes ◽  
Roukoz Chamoun ◽  
D. Beahm ◽  
Chelsea Hamill
Keyword(s):  
Socioeconomic Factors ◽  
Private Insurance ◽  
Organizational Factors ◽  
Healthcare Research ◽  
Median Income ◽  
Factors Affecting ◽  
Discharge Disposition ◽  
Discharge Status ◽  
The Impact ◽  
Total Charges

Objectives The number of transsphenoidal adenohypophysectomies (TSAs) surgeries has grown significantly since 1993. While there has been an overall decreasing trend in length of stay (LOS), socioeconomic factors may impact hospitalization. This study explores the impact of socioeconomic factors on LOS and total charges in uncomplicated patients undergoing TSA. Design Retrospective cohort. Setting 2009 to 2013 Nationwide Inpatient Sample. Participants Patients undergoing TSA without medical complications. Main Outcomes Measures LOS and total charges. Results A total of 6,457 patients were identified, of which 17.2% had secreting tumors. Patients with secreting tumors stayed 2.95 days versus those with nonsecreting tumors stayed 3.26 days (p < 0.001). Discharge to other than self-care was the largest contributing variable for both subsets, increasing both LOS and total charges. Patient factors that drove longer LOS and increased total charges for both subsets included metropolitan domicile, having a lower median income, Hispanic ethnicity, and having an increased amount of Agency for Healthcare Research and Quality (AHRQ) comorbidity indices. Having private insurance predicted a shorter LOS and lower total charges. Conclusions These results demonstrate that, even without complications, patients can be delayed in their discharge. While several socioeconomic factors significantly predict LOS and charges, the discharge disposition ultimately has the greatest effect. This suggests that efforts should focus on improving organizational factors such as coordination with social work and outside facilities to decrease LOS and charges for this patient population.

Effect of shorter time to treatment on survival in rural patients with breast cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 7027-7027
Author(s):  
Suneel Deepak Kamath ◽  
Wei Wei ◽  
Katherine Tullio ◽  
Gregory S. Cooper ◽  
Alok A. Khorana
Keyword(s):  
Breast Cancer ◽  
United States ◽  
Socioeconomic Factors ◽  
Cancer Care ◽  
The United States ◽  
Disease Stage ◽  
Cancer Center ◽  
Median Income ◽  
Cox Models ◽  
Rural Patients

7027 Background: Rural cancer care in the United States has unique challenges from variable access to care. This study examined differences in time to first treatment (TTT), a potential surrogate for access, and predictors of overall survival (OS) between rural and non-rural patients with breast cancer. Methods: Women with stage I-III breast cancer from 2004-2012 in the National Cancer Database of Commission on Cancer (CoC)-accredited facilities were included and categorized as rural and non-rural. Differences in demographic, disease and treatment characteristics, socioeconomic factors and TTT (< 4 weeks, 4-8 weeks and > 8 weeks) between rural and non-rural patients were assessed by Chi-square test. The effect of age, insurance status, cancer center type, community median income, community % no high school, and TTT on OS were assessed using univariate and multivariate Cox models. Results: The study included 1,205,031 patients, 18,417 (2%) of whom were rural. Compared to non-rural patients, rural patients were more likely to be age > 65, Caucasian, receive care at non-academic centers, have government insurance, have lower income and less education (p < 0.0001 for all). Significant demographic and socioeconomic differences are shown in Table. Rural patients had shorter mean TTT (3.72 vs. 4.35 weeks, p < 0.0001). More rural patients had TTT < 4 weeks (67% vs. 57%) and < 8 weeks (94% vs. 90%), p < 0.0001 for both. Shorter TTT (both < 4 weeks vs. 8 weeks and 4-8 weeks vs. > 8 weeks) was associated with improved OS (HR: 0.84, 95% CI: 0.82-0.86, p < 0.0001 and HR: 0.82, 95% CI: 0.81-0.83, p < 0.0001, respectively). After adjusting for demographic, socioeconomic, disease stage and treatment factors, rural status was associated with significantly better OS compared to non-rural status (HR: 0.92, 95% CI: 0.89-0.96, p < 0.0001). Conclusions: Despite several adverse socioeconomic factors, rural patients with breast cancer with access to CoC-accredited facilities had significantly shorter TTT and better OS compared to non-rural patients. These data suggest improving TTT can mitigate disparities in rural cancer care. It is unclear whether our data apply to non-CoC-accredited facilities in rural United States. [Table: see text]

Association of socioeconomic disparities with underutilization of palliative care in patients with metastatic foregut cancer.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 502-502
Author(s):  
Michelle Ju ◽  
Matthew R. Porembka
Keyword(s):  
Palliative Care ◽  
Socioeconomic Factors ◽  
Private Insurance ◽  
Community Setting ◽  
Education Level ◽  
Median Income ◽  
Integrated Network ◽  
Cancer Program ◽  
The Impact ◽  
To Receive

502 Background: Metastatic foregut cancers (MFC) are frequently associated with debilitating symptoms that have significant negative impact on patients’ quality of life. Palliative care (PC) is effective in mitigating disease-, psychosocial-, and treatment-related effects. However, PC remains heavily underutilized. The aim of our study was to characterize the rate of PC utilization in MFC and determine the impact of various clinicopathologic and socioeconomic factors associated with the receipt of PC. Methods: We conducted a retrospective review of 277,957 National Cancer Database patients diagnosed with MFC between 2004-2013. Chi-squared tests were used to analyze differences between groups. Logistic regression was performed to assess the impact of factors on the likelihood of receiving PC. Results: PC utilization increased among all groups over time (12.3% 2004-2006 vs. 14.7% 2007-2010 vs. 16.4% 2011-2013 for all cancers). Female sex, Medicaid, median income < $46,000/year, higher education level, higher Charlson/Deyo Score, and pancreatic or biliary cancers were associated with increased likelihood of PC interventions. Additionally, patients treated at an academic center or integrated network cancer program were more likely to receive PC than patients treated in the community setting. When receipt of PC was stratified by race, Hispanics were significantly less likely to have undergone palliative interventions compared to non-Hispanic Whites (OR 0.70, 95% CI 0.66-0.73). Patients with Medicare or private insurance were less likely to receive PC than uninsured patients (OR 0.92, 95% CI 0.87-0.97 and 0.81, 95% CI 0.77-0.89, respectively). Conclusions: Differences in palliative care receipt rates exist with regards to racial/ethnic and socioeconomic factors such as insurance status, median household income, and education level. Patients receiving care in the community setting were also less likely to receive palliative care than those treated at academic or integrated network cancer program centers. Further studies are needed to delineate why these disparities exist with regards to palliative care utilization.

scholarly journals Socioeconomic Factors and Survival of Multiple Myeloma Patients

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 590
Author(s):  
Kamal Chamoun ◽  
Amin Firoozmand ◽  
Paolo Caimi ◽  
Pingfu Fu ◽  
Shufen Cao ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Socioeconomic Factors ◽  
Hematopoietic Cell Transplantation ◽  
Financial Burden ◽  
Private Insurance ◽  
Median Income ◽  
The Us ◽  
Medicare Patients ◽  
Insured Patients ◽  
Privately Insured

Background: Outcome of Multiple Myeloma (MM) patients has improved as the result of the introduction of novel medications and use of autologous hematopoietic cell transplantation. However, this improvement comes at the expense of increased financial burden. It is largely unknown if socioeconomic factors influence MM survival. Methods: We used the National Cancer Database, a database that houses data on 70% of cancer patients in the US, to evaluate the effect of socioeconomic factors on the survival of 117,926 MM patients diagnosed between 2005 and 2014. Results: Patients aged ≥65 years who were privately insured lived longer than patients with Medicare (42 months vs. 31 months, respectively, p < 0.0001). Treatment in academic institutions led to better survival (HR: 1.49, 95% CI: 1.39, 1.59). Younger age, fewer comorbidities, treatment in academic centers, and living in a higher median income area were significantly associated with improved survival. After adjusting for confounders, survival of Medicare patients was similar to those with private insurance. However, the hazard of death remained higher for patients with Medicaid (HR: 1.59, 95% CI: 1.36, 1.87) or without insurance (HR: 1.62, 95% CI: 1.32, 1.99), compared to privately insured patients. Conclusion: Economic factors and treatment facility type play an important role in the survival of MM patients.

ID: 3526546 CLINICAL OUTCOMES OF GASTRIC AND DUODENAL NEUROENDOCRINE TUMORS. EXPERIENCE FROM A LARGE TERTIARY CARE CANCER CENTER

2021 ◽  
Vol 93 (6) ◽  
pp. AB13-AB14
Author(s):  
Martin Coronel ◽  
Abraham Yu ◽  
Shria Kumar ◽  
Phillip S. Ge ◽  
Graciela M. Nogueras-González ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Neuroendocrine Tumors ◽  
Tertiary Care ◽  
Cancer Center ◽  
Large Tertiary Care ◽  
Duodenal Neuroendocrine Tumors

Leveraging the electronic medical record (EMR) to predict patient reported financial hardship in cancer patients.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6594-6594
Author(s):  
Sandeep Sai Voleti ◽  
Sikander Ailawadhi ◽  
Carolyn Mead-Harvey ◽  
Rahma M. Warsame ◽  
Rafael Fonseca ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Mayo Clinic ◽  
Cancer Care ◽  
Disease State ◽  
Financial Hardship ◽  
Cancer Center ◽  
Median Income ◽  
Patient Reported ◽  
Race Ethnicity ◽  
Zip Code

6594 Background: Patient reported financial hardship (FH) in cancer care is a growing challenge for patients, their caregivers and healthcare providers. As treatment costs escalate, it is imperative to develop effective strategies to proactively recognize and mitigate FH within oncology practice. Using automated processes to screen and refer patients to appropriate resources is a potential option. At Mayo Clinic, screening for FH involves using a single financial strain question ‘ How hard is it for you to pay for the very basics like food, housing, medical care, and heating?’ completed by all cancer patients annually as part of the Social Determinants of Health (SDOH) assessment. In this study, we describe the prevalence and predictors for FH (denoted by the answer ‘hard and very hard’) in our patient population. Methods: Patients receiving cancer care at the three Mayo Clinic sites (Minnesota, Arizona, and Florida) who completed the FH screen at least once were included in this study. Demographics (age, gender, race/ ethnicity, insurance, employment status, marital status, and zip code) and disease state data for included patients was extracted from the EMR and Mayo Clinic Cancer Registry. Disease state was categorized by type of cancer (hematological or solid malignancy) and cancer stage. Zip code was used to derive median income, rural/urban residence and distance from the cancer center. Multivariable logistic regression models were utilized to examine factors associated with FH. Results: The final study cohort included 31,969 patients with median age 66 years (IQR 57,73), 51% females, and 76% married. Race/ethnicity composition was 93% White, 3% Black, and 4% Hispanic. 52% of patients had Medicare and 43% had commercial insurance. Other notable factors included 48% retired, 41% working/ students, 76% married, and 72% urban residents. Median time from cancer diagnosis was 1.1 year (IQR 0.1, 3.8) and median income was $64,406 (IQR 53,067, 82,038). 31% of patients had hematological malignancies, 20% of the cancers for which staging information was available were metastatic. FH was reported by 4% (n = 1194) of the patients. A significantly higher likelihood of endorsing FH (p < 0.001 for all) was noted in Hispanic (OR 1.64), Black (OR 1.84), American Indian/Alaskan native (OR 2.02), below median income (OR 1.48), rural (OR 1.17), self-pay (OR 2.77), Medicaid (OR 2.29), Medicare (OR 1.43), unemployed/disabled (OR 2.39), single (OR 2.07), or divorced (OR 2.43) patients. Older age, being retired, and living farther from the cancer center were associated with significantly less likelihood of endorsing FH. Conclusions: Our study successfully leveraged the EMR to identify key sociodemographic groups more likely to report FH. An electronic trigger to flag such patients at high-risk of FH and proactively address FH is currently being developed.

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