Understanding Geospatial Factors Associated With Cervical Cancer Screening Uptake in Amazonian Peruvian Women

被引:4
作者
Barrett, Benjamin W. [1 ]
Paz-Soldan, Valerie A. [2 ]
Mendoza-Cervantes, Diana [3 ]
Sanchez, Graciela Meza [4 ]
Lopez, Jhonny J. Cordova [5 ]
Gravitt, Patti E. [6 ]
Rositch, Anne F. [1 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, 615 N Wolfe St,Room E6150, Baltimore, MD 21205 USA
[2] Tulane Univ, Sch Publ Hlth & Trop Med, Dept Global Community Hlth & Behav Sci, New Orleans, LA USA
[3] Univ Pittsburgh, Sch Med, Pittsburgh, PA USA
[4] Univ Nacl Amazonia Peruana, Fac Med Humana, Iquitos, Peru
[5] Asociac Benefica PRISMA, San Miguel, Peru
[6] George Washington Univ, Milken Inst Sch Publ Hlth, Dept Global Hlth, Washington, DC USA
基金
美国国家卫生研究院;
关键词
HEALTH; BARRIERS; CARE; PREVENTION; PARTICIPATION; FACILITATORS; EXPERIENCES; DISPARITIES; KNOWLEDGE; PROGRAM;
D O I
10.1200/GO.20.00096
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PURPOSE Cervical cancer (CC) is the most common and second-most deadly cancer among Peruvian women. Access to services is strongly associated with CC screening uptake. This study investigated geospatial features contributing to utilization of screening. We used geolocated data and screening information from a Knowledge, Attitudes, and Practice (KAP) survey implemented in Iquitos, Peru in 2017. MATERIALS AND METHODS The KAP collected cross-sectional CC screening history from 619 female interviewees age 18-65 years within 5 communities of varying urbanization levels. We used spatial statistics to determine if screened households tended to cluster together or cluster around facilities offering screening in greater numbers than expected, given the underlying population density. RESULTS On the basis of K-functions, screened households displayed greater clustering among each other as compared with clustering among unscreened households. Neighborhood-level factors, such as outreach, communication, or socioeconomic condition, may be functioning to generate pockets of screened households. Cross K-functions showed that screened households are generally located closer to health facilities than unscreened households. The significance of facility access is apparent and demonstrates that travel and time barriers to seeking health services must be addressed. CONCLUSION This study highlights the importance of considering geospatial features when determining factors associated with CC screening uptake. Given the observed clustering of screened households, neighborhood-level dynamics should be further studied to understand how they may be influencing screening rates. In addition, results demonstrate that accessibility issues must be carefully considered when designing an effective cancer screening program that includes screening, follow-up, and treatment. (c) 2020 by American Society of Clinical Oncology
引用
收藏
页码:1237 / 1247
页数:11
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