A Comparison of Area-Level Socioeconomic Status Indices in Colorectal Cancer Care

Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients

PURPOSE

We aimed to (1) determine the extent of coverage of colorectal cancer patients in Arkansas All-Payer Claims Database (APCD), (2) assess coverage difference between persistent poverty and other areas, and (3) identify patient, tumor, and area factors associated with inclusion in APCD.

METHODS

Data were from 2018 to 2020 Arkansas APCD linked with 2019 Arkansas Central Cancer Registry (ACCR). We constructed four cohorts to assess APCD's coverage of CRC patients: (Cohort 1) ≥ 1 day of medical coverage in APCD in 2019; (Cohort 2) APCD coverage in the diagnosis month; continuous APCD coverage in the 30; Year around diagnosis (six months before to five months after diagnosis month) (Cohort 3); or until death within six months (Cohort 4). We compared proportions in the cohorts by area persistent poverty designation. Logistic regressions identified factors associated with inclusion in APCD cohorts.

PATIENT SELECTION

CRC patients diagnosed in 2019 from ACCR, excluding in situ disease.

RESULTS

Of the 1,510 CRC patients diagnosed in 2019, 83% had ≥ 1 day of medical coverage in 2019 APCD (Cohort1), 81% had coverage in the diagnosis month (Cohort 2), and 63% had continuous coverage in the year around diagnosis (Cohort 3). Additionally, 11% died within six months but had continuous coverage until death (Cohort 4, 74%). No coverage difference was found between persist poverty and other areas. Age and primary payer type at diagnosis were the main predictors of inclusion in APCD.

CONCLUSION

Arkansas APCD had high coverage of Arkansas CRC patients. No selection bias by area of persistent poverty designation was present.

Catchment area and cancer population health research through a novel population-based statewide database: a scoping review

BACKGROUND

Population-based linked datasets are vital to generate catchment area and population health research. The novel Cancer Information and Population Health Resource (CIPHR) links statewide cancer registry data, public and private insurance claims, and provider- and area-level data, representing more than 80% of North Carolina's large, diverse population of individuals diagnosed with cancer. This scoping review of articles that used CIPHR data characterizes the breadth of research generated and identifies further opportunities for population-based health research.

METHODS

Articles published between January 2012 and August 2023 were categorized by cancer site and outcomes examined across the care continuum. Statistically significant associations between patient-, provider-, system-, and policy-level factors and outcomes were summarized.

RESULTS

Among 51 articles, 42 reported results across 23 unique cancer sites and 13 aggregated across multiple sites. The most common outcomes examined were treatment initiation and/or adherence (n = 14), mortality or survival (n = 9), and health-care resource utilization (n = 9). Few articles focused on cancer recurrence (n = 1) or distance to care (n = 1) as outcomes. Many articles discussed racial, ethnic, geographic, and socioeconomic inequities in care.

CONCLUSIONS

These findings demonstrate the value of robust, longitudinal, linked, population-based databases to facilitate catchment area and population health research aimed at elucidating cancer risk factors, outcomes, care delivery trends, and inequities that warrant intervention and policy attention. Lessons learned from years of analytics using CIPHR highlight opportunities to explore less frequently studied cancers and outcomes, motivate equity-focused interventions, and inform development of similar resources.

Emergency Free School Meal Distribution During the COVID-19 Pandemic in High-Poverty Urban Settings

BACKGROUND

The coronavirus disease 2019 pandemic triggered nationwide school closures in March 2020, putting millions of children in the United States who were reliant on subsidized school meals at risk of experiencing hunger. In response, the US Department of Agriculture mobilized the Summer Food Service Program and Seamless Summer Option program to provide emergency free school meals. There is a need to investigate the effectiveness of these programs in covering underresourced communities during the pandemic.

OBJECTIVE

This study assessed associations between meal distribution and census tract demographics (ie, poverty level, race/ethnicity, and deprivation level based on social deprivation index score).

DESIGN

An observational study using longitudinal meal distribution data collected over an 18-month period following school closures (March 2020 to August 2021).

PARTICIPANTS AND SETTING

Monthly meal distribution data were collected for community sites serving 142 census tracts within 4 urban New Jersey cities predominantly populated by people with low incomes and from racial and ethnic minority groups.

MAIN OUTCOME MEASURES

Main outcome measures were the number of meals served monthly by Summer Food Service Program and Seamless Summer Option meal sites.

STATISTICAL ANALYSES PERFORMED

A 2-part multivariable regression approach was used to analyze the data.

RESULTS

In the first step, logistic regression models showed that high-deprivation tracts were more likely to serve meals during the observed period (odds ratio 3.43, 95% CI 1.001 to 11.77; P = 0.0499). In the second step, among tracts that served any meals during the observed period, mixed effects negative binomial regression models showed that high-poverty and high-deprivation tracts served comparatively more meals (incidence rate ratio [IRR] 2.83, 95% CI 2.29 to 3.51; P < 0.001 and IRR 1.94, 95% CI 1.65 to 2.28; P < 0.001, respectively).

CONCLUSIONS

Findings show that meal distribution during the pandemic was higher within census tracts with higher poverty and deprivation levels, indicating that underresourced communities with higher need had more free meals available during this unprecedented public health emergency.

American Cancer Society's report on the status of cancer disparities in the United States, 2023

In 2021, the American Cancer Society published its first biennial report on the status of cancer disparities in the United States. In this second report, the authors provide updated data on racial, ethnic, socioeconomic (educational attainment as a marker), and geographic (metropolitan status) disparities in cancer occurrence and outcomes and contributing factors to these disparities in the country. The authors also review programs that have reduced cancer disparities and provide policy recommendations to further mitigate these inequalities. There are substantial variations in risk factors, stage at diagnosis, receipt of care, survival, and mortality for many cancers by race/ethnicity, educational attainment, and metropolitan status. During 2016 through 2020, Black and American Indian/Alaska Native people continued to bear a disproportionately higher burden of cancer deaths, both overall and from major cancers. By educational attainment, overall cancer mortality rates were about 1.6-2.8 times higher in individuals with ≤12 years of education than in those with ≥16 years of education among Black and White men and women. These disparities by educational attainment within each race were considerably larger than the Black-White disparities in overall cancer mortality within each educational attainment, ranging from 1.03 to 1.5 times higher among Black people, suggesting a major role for socioeconomic status disparities in racial disparities in cancer mortality given the disproportionally larger representation of Black people in lower socioeconomic status groups. Of note, the largest Black-White disparities in overall cancer mortality were among those who had ≥16 years of education. By area of residence, mortality from all cancer and from leading causes of cancer death were substantially higher in nonmetropolitan areas than in large metropolitan areas. For colorectal cancer, for example, mortality rates in nonmetropolitan areas versus large metropolitan areas were 23% higher among males and 21% higher among females. By age group, the racial and geographic disparities in cancer mortality were greater among individuals younger than 65 years than among those aged 65 years and older. Many of the observed racial, socioeconomic, and geographic disparities in cancer mortality align with disparities in exposure to risk factors and access to cancer prevention, early detection, and treatment, which are largely rooted in fundamental inequities in social determinants of health. Equitable policies at all levels of government, broad interdisciplinary engagement to address these inequities, and equitable implementation of evidence-based interventions, such as increasing health insurance coverage, are needed to reduce cancer disparities.

Relationship between area-level socioeconomic status and health-related quality of life among cancer survivors

Area-level socioeconomic status (SES) impacts cancer outcomes, such as stage at diagnosis, treatments received, and mortality. However, less is known about the relationship between area-level SES and health-related quality of life (HRQOL) for cancer survivors. To assess the additive value of area-level SES data and the relative contribution of area- and individual-level SES for estimating cancer survivors' HRQOL, we conducted a secondary analysis of data from a population-based survey study of cancer survivors (the Measuring Your Health [MY-Health] Study). Multilevel multinomial logistic regression models were used to examine the relationships between individual-level SES, area-level SES as measured by the Centers for Disease Control and Prevention's Social Vulnerability Index, and HRQOL group membership (high, average, low, or very low HRQOL). Area-level SES did not significantly increase model estimation accuracy compared to models using only individual-level SES. However, area-level SES could be an appropriate proxy when the individual-level SES is missing.

Intraoperative Versus Preoperative Diagnosis of Lung Cancer: Differences in Treatments and Patient Outcomes

OBJECTIVES

Non-small cell lung cancer (NSCLC) is frequently diagnosed during surgical resection. It remains unclear if lack of preoperative tissue diagnosis influences likelihood of receipt of guideline-concordant care or postoperative outcomes.

METHODS

A retrospective cohort analysis was completed utilizing the National Cancer Database for patients undergoing lung resection with clinical stage 1 NSCLC from 2004 to 2018. Diagnosis during resection was defined as zero days between diagnosis and definitive lung resection. Patients receiving neoadjuvant therapy were excluded. Subgroup analyses were completed by resection type, including wedge resection.

RESULTS

The cohort included 91,328 patients, 33,517 diagnosed during definitive resection and 57,811 diagnosed preoperatively. For patients diagnosed preoperatively, median time from diagnosis to surgery was 42 days (interquartile range 28-63 days). Patients diagnosed intraoperatively had smaller median tumor size (1.7 cm vs. 2.5 cm, P < .01) and were more likely to undergo wedge resection (10,668 [31.8%] vs. 7,617 [13.2%], P < .01). Intraoperative diagnosis resulted in lower likelihood of nodal sampling (27,356 [81.9%] vs. 53,183 [92.4%], P < .01) and nodal upstaging (2,482 [9.7%] vs. 7701 [15.5%], P < .01). Amongst patients with intraoperative diagnoses, those treated via wedge resection were less likely to undergo lymph node sampling (5,515 [52.0%] vs. 5,606 [61.1%], P < .01). Amongst patients with positive lymph nodes, patients diagnosed intraoperatively were less likely to receive adjuvant therapy (1,677 [5.0%] vs. 5,669 [9.8%], P < .01).

CONCLUSIONS

Preoperative tissue diagnosis of NSCLC is associated with more frequent lymph node harvest, increased rates of upstaging and receipt of adjuvant therapy. Preoperative workup may contribute to increased rates of guideline-concordant lung cancer care.