Determinants of stage at diagnosis of HPV-related cancer including area deprivation and clinical factors

Structural Racism in Cervical Cancer Care and Survival Outcomes: A Systematic Review of Inequities and Barriers

Purpose of Review

Despite cervical cancer (CC) being a cancer that can be eliminated, CC disparities persist such that minoritized populations shoulder a disproportionate mortality burden. This may reflect upstream, fundamental drivers of health that impede equitable access to prevention, screening, early detection, and treatment among some groups. This systematic review summarizes evidence on the relationships between structural racism and CC care across the continuum.

Recent Findings

Following PRISMA guidelines, we conducted a comprehensive search for peer-reviewed, English-language studies relevant to our research question that were published from 2012-2022 using PubMed, CINAHL, Web of Science, and Embase. Of 8,924 articles identified, 4,383 duplicates were removed, and 4,541 underwent screening, with 206 articles meeting eligibility criteria for inclusion in our data synthesis. Among reviewed studies, 60.2% (n = 124) compared CC outcomes by race and ethnicity, often as proxies for upstream racism. Key findings included evidence of lower CC screening rates among Asian American and Pacific Islander women and higher rates among Black and Hispanic/Latinx women. Barriers to healthcare access and socioeconomic status (SES) factors contributed to delayed follow-up, later-stage CC diagnoses, and poorer outcomes, particularly for Black and Hispanic/Latinx women and those residing in low-SES neighborhoods.

Summary

This review underscores associations between race, ethnicity, SES, and outcomes across the CC continuum. Most studies examined racial and ethnic disparities in the outcomes of interest rather than directly evaluating measures of structural racism. Future research should refine measures of structural racism to deepen our understanding of its impact on CC across the care continuum.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40471-025-00360-y.

Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions

Background

Social determinants of health (SDoH), such as socioeconomics and neighborhoods, strongly influence health outcomes. However, the current state of standardized SDoH data in electronic health records (EHRs) is lacking, a significant barrier to research and care quality.

Methods

We conducted a PubMed search using "SDOH" and "EHR" Medical Subject Headings terms, analyzing included articles across five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions.

Results

Of 685 articles identified, 324 underwent full review. Key findings include implementation of tailored screening instruments, census and claims data linkage for contextual SDoH profiles, NLP systems extracting SDoH from notes, associations between SDoH and healthcare utilization and chronic disease control, and integrated care management programs. However, variability across data sources, tools, and outcomes underscores the need for standardization.

Discussion

Despite progress in identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical for SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately, widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.

Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions

Background

Social determinants of health (SDoH) like socioeconomics and neighborhoods strongly influence outcomes, yet standardized SDoH data is lacking in electronic health records (EHR), limiting research and care quality.

Methods

We searched PubMed using keywords "SDOH" and "EHR", underwent title/abstract and full-text screening. Included records were analyzed under five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions.

Results

We identified 685 articles, of which 324 underwent full review. Key findings include tailored screening instruments implemented across settings, census and claims data linkage providing contextual SDoH profiles, rule-based and neural network systems extracting SDoH from notes using NLP, connections found between SDoH data and healthcare utilization/chronic disease control, and integrated care management programs executed. However, considerable variability persists across data sources, tools, and outcomes.

Discussion

Despite progress identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical to fulfill the potential of SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.

The Use of Area-Level Socioeconomic Indices in Evaluating Cancer Care Delivery: A Scoping Review

BACKGROUND

Multiple composite indices of small-area socioeconomic characteristics have been used to examine how neighborhood characteristics influence cancer care, but there is little consensus regarding how to use them. This scoping review aimed to summarize the use of these indices in cancer literature and their association with outcomes.

METHODS

A search was conducted to identify studies from 2015 to 2021 that investigated cancer incidence, disease stage at diagnosis, and mortality using area-based indices of deprivation as an independent variable. Studies were screened and assessed for eligibility. Data were extracted regarding the geospatial and statistical use of these indices.

RESULTS

All the inclusion criteria were met by 45 studies. The area level of analysis was at the census tract level in 19 studies (42.3%), the county level in 15 studies (33.3%), the block group level in 6 studies (13.3%), and the ZIP code level in 5 studies (11.1%). Altogether, 18 unique indices were used, with 4 indices used most frequently. Of the studies that used their indices ordinally, 3 defined high and low deprivation dichotomously, 10 used tertiles, 13 used quartiles, and 15 used quintiles. Of the 45 studies, 34 (76%) showed a significant association between area deprivation and cancer-related outcomes.

CONCLUSIONS

Neighborhood deprivation indices are most commonly used at the census tract level and ordinally as quintiles. Despite variance in methods, there is a strong indication that deprived areas are at adverse odds with cancer-related outcomes. Further study investigating deprivation in the context of cancer can inform drivers of inequity and identify potential targets for care delivery and policy interventions.

Socioeconomic Barriers to Randomized Clinical Trial Retention in Patients Treated With Adjuvant Radiation for Early-Stage Breast Cancer

PURPOSE

Socioeconomic barriers contribute to breast cancer clinical trial enrollment disparities. We sought to identify whether socioeconomic disadvantage also is associated with decreased trial retention.

METHODS AND MATERIALS

We performed a secondary analysis of 253 (of 287) patients enrolled in a randomized phase 3 trial of conventionally fractionated versus hypofractionated whole-breast irradiation. The outcome of trial retention versus dropout was defined primarily based on whether the patient completed breast cosmesis outcomes assessment at 3-year follow-up, and secondarily, at 5-year follow-up. Associations of retention with severity of socioeconomic disadvantage, quantified by patients' home neighborhood area deprivation index (ADI) rank (1 [least] to 100 [most deprivation]), were tested using the Kruskal-Wallis test and multivariate logistic regression. Associations of retention with patients' use of social resource assistance were analyzed using the χ² test.

RESULTS

In total, 21.7% (n = 55) of patients dropped out by 3 years and 36.7% (n = 92) by 5 years. Median ADI was 36.5 (interquartile range, 22-57) for retained and 46.0 (interquartile range, 29-60) for dropout patients. Dropout was associated with more severe socioeconomic deprivation (ADI ≥45 vs <45) at 3 years (odds ratio, 3.63; 95% confidence interval, 1.62-8.15; P = .002) and 5 years (odds ratio, 2.55; 95% confidence interval, 1.37-4.76; P = .003). While on study, patients who ultimately dropped out were more likely to require resource assistance for practical (transportation, housing, financial) than psychological needs (distress, grief) or advance care planning (P = .03).

CONCLUSIONS

In this study, ADI was associated with disparities in clinical trial retention of patients with breast cancer receiving adjuvant radiation treatment. Results suggest that developing multidimensional interventions that extend beyond routine social determinants needs screening are needed, not only to enhance initial clinical trial access and enrollment but also to enable robust long-term retention of socioeconomically disadvantaged patients and improve the validity and generalizability of reported long-term trial clinical and patient-reported outcomes.