Abstract

Literature on technology assessment strongly emphasizes the need for evaluating the effect on technology and patient outcomes such as improved physical, functional, or emotional well being. This project is significant and unique because it will evaluate patient outcomes of the emerging screening and diagnostic technologies of optical spectroscopy and quantitative cytology and pathology during the developmental process. Because receiving positive Papanicoloau smear results and undergoing colposcopy and biopsy is associated with patient distress, we will focus on outcomes related to patient psychological distress and satisfaction. and satisfaction. This project is organized into four studies (A through D). Study will evaluate differences in patient pain and anxiety caused by Papanicoloau smear, colposcopically, directed biopsy, and optical spectroscopy to standard care diagnostic strategies on patient adherence, satisfaction, and quality of life. Study C will l measure the impact of false positive tests on patient well being and their intentions to adhere to future cervical cancer screening. Study D is a descriptive study of health care providers' receptivity to the innovations of optical spectroscopy and quantitative cytology, and quantitative pathology, and will be used to improve these technologies and facilitate their diffusion and implementation.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA082710-02
Application #
6349013
Study Section
Subcommittee G - Education (NCI)
Project Start
2000-09-07
Project End
2001-08-31
Budget Start
Budget End
Support Year
2
Fiscal Year
2000
Total Cost
$305,247
Indirect Cost

  Institution

Name
University of Texas MD Anderson Cancer Center
Department
Type
DUNS #
001910777
City
Houston
State
TX
Country
United States
Zip Code
77030

  Publications

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
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
Davies, Kalatu R; Cantor, Scott B; Cox, Dennis D et al. (2015) An alternative approach for estimating the accuracy of colposcopy in detecting cervical precancer. PLoS One 10:e0126573

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