M Heberer|Ian K. Komenaka|Jesse Nodora|Chiu Hsieh Hsu|Sonal Gandhi|Lauren Welch|Marcia E. Bouton|Paula Aristizabal|Barry D. Weiss|Mar??a Elena Mart??nez
Factors associated with cervical cancer screening in a safety net population
Rady Children's Hospital-San Diego|University of Arizona|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)|Rady Children's Hospital-San Diego|University of Arizona|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)|University of Arizona|Rady Children's Hospital-San Diego|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)|Rady Children's Hospital-San Diego|University of Arizona|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)|Rady Children's Hospital-San Diego|University of Arizona|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)|Rady Children's Hospital-San Diego|University of Arizona|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)|Rady Children's Hospital-San Diego|University of Arizona|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)|Rady Children's Hospital-San Diego|University of Arizona|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)|Rady Children's Hospital-San Diego|University of Arizona|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)|Rady Children's Hospital-San Diego|University of Arizona|Maricopa Medical Center|Theodore Roosevelt High School|Creative Research Enterprises (United States)
identify factors associated papanicolaousmear papsmear cervical cancer screening rates safety net populationfrom january 2012 may 2013 use papsmear determined patients seen breast clinic safety net hospital health literacy assessment performed using validated newest vital sign records patients reviewed determine undergone papsmears cervical cancer screening sociodemographic information collected included age education monthly income raceethnicity employment insurance status primary care provider patient logistic regression analysis performed determine factors associated utilization papsmears crude adjusted odds ratios derived multivariate logistic regression models calculated well associated 95cis pvaluesoverall 39 papsmears prior 15 mo 1377 consecutive women seen study period records reviewed significantly patients adequate health literacy underwent papsmears compared limited health literacy 59 vs 34 p 00001 multivariate analysis patients adequate health literacy younger patients later age first live birth likely undergo papsmears patients whose primary care providers gynecologists also significantly likely papsmears compared specialties p 00001 patients younger 21 years older 65 years underwent screening less frequently 11 11 respectively 2164 years 41 p 00001 race ethnicity language insurance status associated papsmear screening ratespatient health literacy primary care physician associated papsmear utilization development interventions target low health literacy populations could improve cervical cancer screening