Abstract

Implementation of guideline-based Papanicolaou (Pap) smear screening, human papillomavirus (HPV) testing, and HPV vaccination has reduced cervical cancer (CC) rates up to 80%, yet prevention disparities continue to exist. This study aims to analyze whether CC screening rates differ among women with comorbidities-body mass index (BMI)≥30kg/m2, diabetes mellitus, hypertension, cardiovascular disease, chronic obstructive pulmonary disease (COPD), arthritis, kidney disease, depression, or skin cancer-compared to women without these comorbidities. Combined 2018 and 2019 Behavioral Risk Factor Surveillance System (BRFSS) datasets were evaluated utilizing multivariate logistic regression models to determine the adjusted odds ratios (AORs) of persons having completed CC screening without comorbidities compared to those with individual diagnoses, as well as in those with multiple comorbidities (1, 2-4, 5+). Confidence intervals (CIs) were reported at 95%. Among the 127,057 individuals meeting inclusion criteria, 78.3% (n=83,242; n=27,875,328) met CC screening guidelines. Multivariable regression showed that women who had a BMI≥30kg/m2 were significantly less likely to have completed a CC screening (AOR: 0.90; CI: 0.83-0.97) as were those with COPD (AOR: 0.77; CI: 0.67-0.87) and kidney disease (AOR: 0.81; CI: 0.67-0.99). Conversely, women with skin cancer were significantly more likely to report CC screening (AOR: 1.22; CI: 1.05-1.43). We found no significant differences in CC screening completion rates by diagnosis of diabetes, hypertension, cardiovascular disease, arthritis, or depression nor between women lacking comorbidities compared to women with multiple comorbidities. Women with BMI≥30kg/m2, COPD, and kidney disease were less likely to complete CC screening, whereas women with skin cancer were more likely to complete CC screening. Additionally, diabetes mellitus, hypertension, cardiovascular disease, arthritis, and depression diagnoses did not significantly impact rates of CC screening. Physicians should be aware of the deviations in CC screening completion among patients with diagnoses to know when there may be an increased need for Pap tests and pelvic examinations. CC screening is critical to reduce mortality through early detection and prevention measures.

Highlights

  • Context: Implementation of guideline-based Papanicolaou (Pap) smear screening, human papillomavirus (HPV) testing, and HPV vaccination has reduced cervical cancer (CC) rates up to 80%, yet prevention disparities continue to exist

  • We found no significant differences in CC screening completion rates by diagnosis of diabetes, hypertension, cardiovascular disease, arthritis, or depression nor between women lacking comorbidities compared to women with multiple comorbidities

  • We identified no significant difference in CC screening completion among persons with diabetes, hypertension, cardiovascular disease, arthritis, depression, or multiple comorbidities

Read more

Summary

Introduction

Context: Implementation of guideline-based Papanicolaou (Pap) smear screening, human papillomavirus (HPV) testing, and HPV vaccination has reduced cervical cancer (CC) rates up to 80%, yet prevention disparities continue to exist. Another study showed that individuals diagnosed with diabetes, hypertension, arthritis, or depression were more likely to be screened for colon cancer [6], which supports the premise that the presence of comorbid conditions is related to deviations in the likelihood of receiving evidence-based cancer screenings Another study supporting this theory found that among 118,742 women diagnosed with breast cancer, self-reported mammography completion was higher among those who had three or more comorbidities [7]. Our primary objective was to analyze CC screening completion rates among individuals with and without diabetes, hypertension, cardiovascular disease, chronic obstructive pulmonary disease (COPD), arthritis, kidney disease, depression, or skin cancer utilizing data extracted from the Center for Disease Prevention and Control’s Behavioral Risk Factor Surveillance System (BRFSS). Our secondary objectives were to determine if the presence of multiple comorbidities impacted screening completion rates and to investigate potential disparities in CC screening rates based on race/ethnicity, age, education, and healthcare coverage

Objectives
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call