Income inequality and cervical cancer: A comparative analysis of demographics and healthcare burden of women in the lowest and highest income quartiles.

5521 Background: Cervical cancer disproportionately affects women of lower socioeconomic status, yet comprehensive data comparing the demographic profiles and comorbidity burden across income strata remain limited. This study examines differences in patient characteristics, comorbidities, and healthcare utilization between women in the lowest and highest income quartiles hospitalized with cervical cancer in the United States. Methods: We identified women hospitalized with cervical cancer in the United States between 2016 and 2022 using ICD-10 codes C53.x in the National Inpatient Sample. Patients were classified into the lowest (0–25th percentile) and highest (76th–100th percentile) income quartiles based on median household income for their residential ZIP code. We compared demographic characteristics including age, race, socioeconomic distribution, and clinically relevant comorbidities across the two groups. Healthcare utilization was evaluated by analyzing length of stay and inflation-adjusted mean hospital charges. Results: We identified 88,240 women hospitalized with cervical cancer; 69.7% were in the lowest income quartile and 30.3% in the highest. Women in the highest income quartile were older (mean age 55.45 vs. 52.62 years, p<0.001) and incurred higher inflation-adjusted hospital charges ($88,955 vs. $76,121, p<0.001), though length of stay was comparable (5.64 vs. 5.82 days, p=0.134). Significant racial disparities were evident: the highest income quartile had more White patients (63.2% vs. 46.2%) while the lowest quartile had more Black (29.1% vs. 11.1%) and Hispanic (19.0% vs. 12.2%) patients (p<0.001). Women in the lowest income quartile had significantly higher prevalence of smoking (40.2% vs. 31.0%), diabetes (19.8% vs. 13.8%), chronic kidney disease (16.6% vs. 14.0%), obesity (14.4% vs. 11.5%), HIV (2.1% vs. 0.9%), depression (12.1% vs. 10.9%), opioid use disorder (3.1% vs. 1.9%), drug abuse (7.7% vs. 3.5%), and alcohol abuse (2.0% vs. 1.4%) (all p<0.05). Conversely, the highest income quartile had higher rates of metastatic cancer (41.8% vs. 38.7%, p<0.001). No significant differences were observed in dyslipidemia (17.6% vs. 16.7%, p=0.165), cachexia (4.3% vs. 4.6%, p=0.396), or palliative care utilization (13.0% vs. 13.5%, p=0.413). Conclusions: Women in the lowest income quartile comprise the majority of cervical cancer hospitalizations and face disproportionately higher rates of modifiable risk factors and comorbidities. Targeted interventions addressing screening access, preventive care, and comorbidity management in low-income populations are essential to reduce health disparities in cervical cancer.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.5521
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Income inequality and cervical cancer: A comparative analysis of demographics and healthcare burden of women in the lowest and highest income quartiles.

Saisree Reddy Adla Jala, Fathima Shehnaz Ayoobkhan, Aishwarya Ramesh, Dhruvi Dipakkumar Pathak et al.
Journal of Clinical Oncology
Economic and Financial Impacts of Cancer
article

Income inequality and cervical cancer: A comparative analysis of demographics and healthcare burden of women in the lowest and highest income quartiles.

Saisree Reddy Adla Jala, Fathima Shehnaz Ayoobkhan, Aishwarya Ramesh, Dhruvi Dipakkumar Pathak, Krupa Savani, Kesha Pathak, Kamleshun Ramphul
article en

Abstract

5521 Background: Cervical cancer disproportionately affects women of lower socioeconomic status, yet comprehensive data comparing the demographic profiles and comorbidity burden across income strata remain limited. This study examines differences in patient characteristics, comorbidities, and healthcare utilization between women in the lowest and highest income quartiles hospitalized with cervical cancer in the United States. Methods: We identified women hospitalized with cervical cancer in the United States between 2016 and 2022 using ICD-10 codes C53.x in the National Inpatient Sample. Patients were classified into the lowest (0–25th percentile) and highest (76th–100th percentile) income quartiles based on median household income for their residential ZIP code. We compared demographic characteristics including age, race, socioeconomic distribution, and clinically relevant comorbidities across the two groups. Healthcare utilization was evaluated by analyzing length of stay and inflation-adjusted mean hospital charges. Results: We identified 88,240 women hospitalized with cervical cancer; 69.7% were in the lowest income quartile and 30.3% in the highest. Women in the highest income quartile were older (mean age 55.45 vs. 52.62 years, p<0.001) and incurred higher inflation-adjusted hospital charges ($88,955 vs. $76,121, p<0.001), though length of stay was comparable (5.64 vs. 5.82 days, p=0.134). Significant racial disparities were evident: the highest income quartile had more White patients (63.2% vs. 46.2%) while the lowest quartile had more Black (29.1% vs. 11.1%) and Hispanic (19.0% vs. 12.2%) patients (p<0.001). Women in the lowest income quartile had significantly higher prevalence of smoking (40.2% vs. 31.0%), diabetes (19.8% vs. 13.8%), chronic kidney disease (16.6% vs. 14.0%), obesity (14.4% vs. 11.5%), HIV (2.1% vs. 0.9%), depression (12.1% vs. 10.9%), opioid use disorder (3.1% vs. 1.9%), drug abuse (7.7% vs. 3.5%), and alcohol abuse (2.0% vs. 1.4%) (all p<0.05). Conversely, the highest income quartile had higher rates of metastatic cancer (41.8% vs. 38.7%, p<0.001). No significant differences were observed in dyslipidemia (17.6% vs. 16.7%, p=0.165), cachexia (4.3% vs. 4.6%, p=0.396), or palliative care utilization (13.0% vs. 13.5%, p=0.413). Conclusions: Women in the lowest income quartile comprise the majority of cervical cancer hospitalizations and face disproportionately higher rates of modifiable risk factors and comorbidities. Targeted interventions addressing screening access, preventive care, and comorbidity management in low-income populations are essential to reduce health disparities in cervical cancer.

Journal of Clinical OncologyVol. 44(16_suppl)
Trinity Health (US), Wayne State University (US), Government Medical College (IN), St. Mary's Hospital (US), Kidney Associates (US), Mission Hospital (US), Institute of Medical Sciences (IN)
No poverty
Openalex Percentile: Top 3%
Economic and Financial Impacts of Cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.