PREDICTORS AND TRENDS IN UTILIZATION OF CERVICAL CANCER PREVENTIVE CARE SERVICES IN THE U.S
Author(s)
Gunjal SS1, Wang X2, Mgbere O3, Essien EJ2
1Precision Health Economics, Austin, TX, USA, 2University of Houston, Houston, TX, USA, 3Houston Department of Health and Human Services, Houston, TX, USA
OBJECTIVES: To examine the predictors and trends in utilization of cervical cancer screening (CCS) in U.S. from 2006 to 2011. METHODS: A cross-sectional study was conducted using data from Medical Expenditure Panel Survey (MEPS) 2006 to 2011. The study included women eligible for CCS belonging to the age category 21-65 years according to the USPSTF prescribed guidelines. The use of Pap smear test was the outcome of interest. The independent variables were categorized into predisposing, enabling, and need characteristics according to the Andersen Behavioral Model of Health Services Utilization. Descriptive statistics and chi-square tests were performed to examine group differences. Multivariate logistic regression and trend analysis were performed to investigate the effect of independent factors on CCS use and the yearly change in the rate of CCS, respectively. RESULTS: A total of 547,749,778 women with an average age of 42.6 years constituted the study cohort of which 80.39% received screening. Most of them were Whites (65.61%), followed by Blacks (13.18%) and Hispanics (14.57%). Result from the logistic regression indicated that women who were married (OR: 3.53, 95%CI: 2.97-4.20) and divorced (OR: 3.98, 95%CI: 2.88-5.50) were more likely to receive screening compared to unmarried ones. Older women (OR: 1.05, 95%CI: 1.04-1.05), and those with public insurance (OR: 2.07, 95%CI: 1.64-2.61) and private insurance (OR: 1.77, 95%CI: 1.36-2.31) were more likely to receive CCS compared to their younger and uninsured peers. Additionally, education level, income, usual source of health care, region, smoking status and BMI were all significant predictors of CCS. There were no significant changes in the rate of screening across the years assessed. CONCLUSIONS: Various predisposing, enabling, and need characteristics were identified as important predictors of CCS in women. Knowledge of these factors could be helpful in improving access to CCS, and consequently achieving the goals of Healthy People 2020 initiative.
Conference/Value in Health Info
2015-05, ISPOR 2015, Philadelphia, PA, USA
Value in Health, Vol. 18, No. 3 (May 2015)
Code
PHS139
Topic
Economic Evaluation, Epidemiology & Public Health, Health Service Delivery & Process of Care
Topic Subcategory
Cost/Cost of Illness/Resource Use Studies, Health Care Research, Public Health
Disease
Oncology