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Factors associated with cervical cancer screening in a safety net population

AIM: To identify factors associated with Papanicolaou-smear (Pap-smear) cervical cancer screening rates in a safety net population. METHODS: From January 2012 to May 2013, the use of Pap-smear was determined for all patients seen at the breast clinic in a safety net hospital. Health literacy assessm...

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Autores principales: Heberer, Meredith A, Komenaka, Ian K, Nodora, Jesse N, Hsu, Chiu-Hsieh, Gandhi, Sonal G, Welch, Lauren E, Bouton, Marcia E, Aristizabal, Paula, Weiss, Barry D, Martinez, Maria Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056332/
https://www.ncbi.nlm.nih.gov/pubmed/27777883
http://dx.doi.org/10.5306/wjco.v7.i5.406
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author Heberer, Meredith A
Komenaka, Ian K
Nodora, Jesse N
Hsu, Chiu-Hsieh
Gandhi, Sonal G
Welch, Lauren E
Bouton, Marcia E
Aristizabal, Paula
Weiss, Barry D
Martinez, Maria Elena
author_facet Heberer, Meredith A
Komenaka, Ian K
Nodora, Jesse N
Hsu, Chiu-Hsieh
Gandhi, Sonal G
Welch, Lauren E
Bouton, Marcia E
Aristizabal, Paula
Weiss, Barry D
Martinez, Maria Elena
author_sort Heberer, Meredith A
collection PubMed
description AIM: To identify factors associated with Papanicolaou-smear (Pap-smear) cervical cancer screening rates in a safety net population. METHODS: From January 2012 to May 2013, the use of Pap-smear was determined for all patients seen at the breast clinic in a safety net hospital. Health literacy assessment was performed using the validated Newest Vital Sign. The records of patients were reviewed to determine if they had undergone Pap-smears for cervical cancer screening. Sociodemographic information was collected included age, education, monthly income, race/ethnicity, employment, insurance status, and primary care provider of the patient. Logistic regression analysis was then performed to determine factors associated with utilization of Pap-smears. Crude and adjusted odds ratios derived from multivariate logistic regression models were calculated as well as the associated 95%CIs and P-values. RESULTS: Overall, 39% had Pap-smears in the prior 15 mo, 1377 consecutive women were seen during the study period and their records were reviewed. Significantly more patients with adequate health literacy underwent Pap-smears as compared to those with limited health literacy (59% vs 34%, P < 0.0001). In multivariate analysis, patients with adequate health literacy, younger patients, and those with later age of first live birth were more likely to undergo Pap-smears. Patients whose primary care providers were gynecologists were also significantly more likely to have Pap-smears compared to other specialties (P < 0.0001). Patients younger than 21 years or older than 65 years underwent screening less frequently (11% and 11%, respectively) than those 21-64 years (41%, P < 0.0001). Race, ethnicity, language, and insurance status were not associated with Pap-smear screening rates. CONCLUSION: Patient health literacy and primary care physician were associated with Pap-smear utilization. Development of interventions to target low health literacy populations could improve cervical cancer screening.
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spelling pubmed-50563322016-10-24 Factors associated with cervical cancer screening in a safety net population Heberer, Meredith A Komenaka, Ian K Nodora, Jesse N Hsu, Chiu-Hsieh Gandhi, Sonal G Welch, Lauren E Bouton, Marcia E Aristizabal, Paula Weiss, Barry D Martinez, Maria Elena World J Clin Oncol Observational Study AIM: To identify factors associated with Papanicolaou-smear (Pap-smear) cervical cancer screening rates in a safety net population. METHODS: From January 2012 to May 2013, the use of Pap-smear was determined for all patients seen at the breast clinic in a safety net hospital. Health literacy assessment was performed using the validated Newest Vital Sign. The records of patients were reviewed to determine if they had undergone Pap-smears for cervical cancer screening. Sociodemographic information was collected included age, education, monthly income, race/ethnicity, employment, insurance status, and primary care provider of the patient. Logistic regression analysis was then performed to determine factors associated with utilization of Pap-smears. Crude and adjusted odds ratios derived from multivariate logistic regression models were calculated as well as the associated 95%CIs and P-values. RESULTS: Overall, 39% had Pap-smears in the prior 15 mo, 1377 consecutive women were seen during the study period and their records were reviewed. Significantly more patients with adequate health literacy underwent Pap-smears as compared to those with limited health literacy (59% vs 34%, P < 0.0001). In multivariate analysis, patients with adequate health literacy, younger patients, and those with later age of first live birth were more likely to undergo Pap-smears. Patients whose primary care providers were gynecologists were also significantly more likely to have Pap-smears compared to other specialties (P < 0.0001). Patients younger than 21 years or older than 65 years underwent screening less frequently (11% and 11%, respectively) than those 21-64 years (41%, P < 0.0001). Race, ethnicity, language, and insurance status were not associated with Pap-smear screening rates. CONCLUSION: Patient health literacy and primary care physician were associated with Pap-smear utilization. Development of interventions to target low health literacy populations could improve cervical cancer screening. Baishideng Publishing Group Inc 2016-10-10 2016-10-10 /pmc/articles/PMC5056332/ /pubmed/27777883 http://dx.doi.org/10.5306/wjco.v7.i5.406 Text en ©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Observational Study
Heberer, Meredith A
Komenaka, Ian K
Nodora, Jesse N
Hsu, Chiu-Hsieh
Gandhi, Sonal G
Welch, Lauren E
Bouton, Marcia E
Aristizabal, Paula
Weiss, Barry D
Martinez, Maria Elena
Factors associated with cervical cancer screening in a safety net population
title Factors associated with cervical cancer screening in a safety net population
title_full Factors associated with cervical cancer screening in a safety net population
title_fullStr Factors associated with cervical cancer screening in a safety net population
title_full_unstemmed Factors associated with cervical cancer screening in a safety net population
title_short Factors associated with cervical cancer screening in a safety net population
title_sort factors associated with cervical cancer screening in a safety net population
topic Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056332/
https://www.ncbi.nlm.nih.gov/pubmed/27777883
http://dx.doi.org/10.5306/wjco.v7.i5.406
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