Morbidities and socioeconomic factors of uninsured patients with cancer in free clinics.

Authors

null

Katherine Robinson

University of South Florida, Internal Medicine Residency, Tampa, FL

Katherine Robinson , Abu-Sayeef Mirza , Yuanyuan Lu , Noura Ayoubi , Aldenise Ewing , Rahul Suresh Mhaskar , Richard Roetzheim , Smitha Pabbathi

Organizations

University of South Florida, Internal Medicine Residency, Tampa, FL, University of South Florida, Tampa, FL, University of South Florida, Morsani College of Medicine, Tampa, FL, University of South Florida, College of Public Health, Tampa, FL, University of South Florida, Department of Family Medicine, Tampa, FL, Moffitt Cancer Center, Tampa, FL

Research Funding

Other

Background: There are few studies documenting the prevalence of malignancies and associated chronic conditions in free clinics. Cancer patients become lost to follow-up after treatment and end up in free clinics for further management of chronic morbidities. Charlson Comorbidity Index (CCI) has been used to study the mortality risk of patients with comorbid conditions, with the intention of adding standardized, weighted value to the disease profile of cancer patients. Methods: Demographic data and chronic disease measures were extracted from medical charts of patients managed in eight free clinics between January to December 2016 in the Tampa Bay Area. Descriptive statistics as well as Pearson correlation coefficient were used to demonstrate relationships between socioeconomic factors, cancer diagnoses, and comorbidities. CCI was used to assess severity of disease and mortality risk. Results: In 2016, 4804 uninsured patients were evaluated. From manual chart review, 86 patients (1.7%) were diagnosed with cancer. They were predominantly female (65.1%) and had an average age of 54.37 years (SD 13.42), significantly greater than patients without cancer (p < 0.001). Most common malignancies included breast (19, 22.09%), prostate (8, 9.30%), melanoma (6, 6.97%), cervical (5, 5.81%), colon (5, 5.81%), squamous carcinoma (5, 5.81%), ovarian (4, 4.65%), and lung cancer (4, 4.65%). The average length of survival was approximately 8.53 years (SD 7.55). Overall, cancer patients had a higher CCI (3.04 (1.928)), compared to patients without cancer (.90 (1.209)), p < 0.001. Cancer patients had more CCI comorbidities compared to patients without cancer (p < 0.001). Other factors of chronic disease including obesity and substance abuse are reported as correlations with cancer history among the uninsured. Conclusions: Uninsured patients from free clinics are considered outside the health care system and represent a unique population that is understudied in the literature. The most common malignancies identified in free clinics correlate with national epidemiology. Cancer patients without insurance have greater burdens of diseases as evidenced by their calculated CCI compared to uninsured patients without cancer.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Health Services Research, Clinical Informatics, and Quality of Care

Track

Quality Care/Health Services Research

Sub Track

Access to Care

Citation

J Clin Oncol 36, 2018 (suppl; abstr e18681)

DOI

10.1200/JCO.2018.36.15_suppl.e18681

Abstract #

e18681

Abstract Disclosures

Similar Abstracts

Abstract

2020 ASCO Virtual Scientific Program

The complex comorbidities of uninsured cancer patients.

First Author: Shreni Shah

Abstract

2020 ASCO Virtual Scientific Program

The impact of census-tract socioeconomic status on survival in stage III colon cancer.

First Author: Amina Dhahri

Abstract

2019 ASCO Annual Meeting

Comorbidity and racial differences in risk of mortality of men with breast cancer.

First Author: Carol Parise

Abstract

2022 ASCO Annual Meeting

Association of U.S. county social vulnerability with cancer mortality.

First Author: Akhil Mehta