The patient's perspective on the acceptability of technological innovation must be taken into account during the development of new technologies. Because patients are involved in their own care, medical devices that address their needs can produce better treatment outcomes. In this program project, we take a global approach to developing and assessing technologies to detect cervical cancer, considering factors at all levels that affect cervical screening and diagnosis: from the molecular to the patients and their communities. In Project 4, we will consider the effects of emerging technologies on patient outcomes in both developed and developing worlds. In developed countries, the multiple delays in the diagnosis and treatment trajectory after Papanicolaou smear and biopsy can reduce adherence and increase psychological distress for women receiving unfavorable results. In developing countries and underserved areas of the developed world, standard-of-care procedures require resources that are not available. In addition, cultural beliefs about screening for cervical cancer often exist that pose barriers to widespread screening programs. In this program project, we are developing technologies to address limitations in current technologies for both developed and developing countries. Emerging technologies under development with support from this grant aim to improve screening outcomes through (1) improved accuracy in less time, which can support diagnosis and treatment in a single visit;(2) more automation, facilitating wider use of the technology by non-expert providers;and (3) less invasive testing, which results in increased comfort and less distress for patients. To achieve the goals of Project 4, we take surveys of patient attitudes, distress, anxiety, pain, and priorities from 805 participants in the two clinical trials proposed in Project 3, which will be conducted at six clinical sites in Vancouver and Houston. We will also assess specific barriers to health care delivery in Appalachia, the Texas-Mexico border, and in Ibadan, Nigeria.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
7P01CA082710-13
Application #
8706058
Study Section
Special Emphasis Panel (ZCA1-RPRB-7)
Project Start
Project End
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
13
Fiscal Year
2014
Total Cost
$338,529
Indirect Cost
$14,657
Name
Brookdale University Hospital & Medical Center
Department
Type
DUNS #
063864656
City
Brooklyn
State
NY
Country
United States
Zip Code
11212
Montealegre, J R; Peckham-Gregory, E C; Marquez-Do, D et al. (2018) Racial/ethnic differences in HPV 16/18 genotypes and integration status among women with a history of cytological abnormalities. Gynecol Oncol 148:357-362
Montealegre, Jane R; Varier, Indu; Bracamontes, Christina G et al. (2017) Racial/ethnic variation in the prevalence of vaccine-related human papillomavirus genotypes. Ethn Health :1-12
Zhu, Hongxiao; Morris, Jeffrey S; Wei, Fengrong et al. (2017) Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study. Comput Stat Data Anal 111:88-101
Yang, Jingjing; Cox, Dennis D; Lee, Jong Soo et al. (2017) Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes. Biometrics 73:1082-1091
Nghiem, Van T; Davies, Kalatu R; Beck, J Robert et al. (2016) Overtreatment and Cost-Effectiveness of the See-and-Treat Strategy for Managing Cervical Precancer. Cancer Epidemiol Biomarkers Prev 25:807-14
Nghiem, Van T; Davies, Kalatu R; Chan, Wenyaw et al. (2016) Disparities in cervical cancer survival among Asian-American women. Ann Epidemiol 26:28-35
Bodenschatz, Nico; Lam, Sylvia; Carraro, Anita et al. (2016) Diffuse optical microscopy for quantification of depth-dependent epithelial backscattering in the cervix. J Biomed Opt 21:66001
Sheikhzadeh, Fahime; Ward, Rabab K; Carraro, Anita et al. (2015) Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia. Biomed Eng Online 14:96
Yamal, Jose-Miguel; Guillaud, Martial; Atkinson, E Neely et al. (2015) Prediction using hierarchical data: Applications for automated detection of cervical cancer. Stat Anal Data Min 8:65-74
Montealegre, Jane R; Landgren, Rachel M; Anderson, Matthew L et al. (2015) Acceptability of self-sample human papillomavirus testing among medically underserved women visiting the emergency department. Gynecol Oncol 138:317-22

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