<p>This study aimed to explore the attitudes to HIV testing among a group of black, low socio-economic status pregnant women from Gugulethu, South Africa. The key research interest was to evaluate the attitudes and understandings of HIV/AIDS that underpin the decision to comply or not comply with prenatal HIV testing. Theories of health behaviour concur that the extent to which an individual will engage in a given health behaviour, such as HIV test compliance, will be a function of the extent to which a person believes she is personally susceptible to the particular illness and her evaluation of the severity of the consequences of contracting the disease.</p>

Despite the availability, accessibility and affordability of cervical cancer screening (CCS) in Malawi, many women do not utilize the CCS services. This research was conducted in Blantyre district, Malawi. The main objective of the study was to identify factors that act as barriers to the uptake of cervical cancer screening programs among urban and rural women in the Blantyre district of Malawi. A quantitative design was used and convenience sampling was applied in selecting a sample of 196 women from the population of women aged 18 and over in two Reproductive Health clinics, one urban clinic at Queen Elizabeth Central Hospital and one rural clinic at Mlambe hospital in Blantyre district, Malawi. A structured questionnaire was used to collect data. The questionnaire was translated from English into the local Chichewa language so that respondents were interviewed and responded in a language that they were able to comprehend. Analysis and discussion of findings are presented in five sections. Data were processed into numeric values using SPSS version 15.0 and Microsoft Excel to give meaning to the findings of the study. In order to test for statistically significant associations between variables, the Pearson correlation was applied. The study revealed that the main barrier to CCS was that women lack knowledge and information about cervical cancer and there is a lack of publicity about CCS services. Lack of knowledge was found in relation to - risk factors, prevention of, detection of and benefits of cervical cancer screening with a greater knowledge deficit being found in the rural women. Higher levels of education in both the urban and rural groups did not have a positive influence on the screening behaviours of the women. Commencing sexual intercourse at ages 15 to 19 years and having multiple sexual partners were the main risk factors to cervical cancer among the women in the study. It was also found that although rural women perceived themselves being very likely to be at risk of cervical cancer, this perception did not translate into CCS behaviour. v / Thesis (M.A.)-University of KwaZulu-Natal, Durban, 2009.

This thesis focuses on the modelling and prediction of factors affecting attendance to screening invitations of the NHS Breast Screening Programme. The analysis is based on data collected by the Warwickshire, Solihull and Coventry Breast Screening Unit from 1989 up to 2001 with respect to invitation to screening for the prevention of breast cancer in non-symptomatic women. Using a novel approach to the analysis of the data, from the perspective of the screening episode of each woman, rather than the usual analysis from the perspective of the screening round of the units, a statistical analysis is carried out on the whole registered population for the first time. Amendments to the current formulae for coverage calculations, the introduction of a new parameter (invitation rate) and the proposal for a reduction of the invitation period (period of time between two consecutive invitations) follows from the analysis. A preliminary analysis of predictive methodologies, including traditional statistical methods and artificial intelligent methods, gives the foundation to the formulation of two new algorithms; the first, for the prediction of attendance of women to screening invitations, and the second for the prediction of occurrence of screening variation (change of appointment dates) of women to invitations. Both algorithms are based on neural network generated models able to learn from the previous screening behaviour history of the woman, a technique not previously explored for the prediction of attendance. The accuracy of the new proposed algorithm for the prediction of attendance to invitation is tested on a blind study using data not previously seen by the predictive system, and for which results were unknown at the time when the predictions were made. From the obtained results, it is concluded to recommend the implementation by the NHS Breast Screening Unit of the two algorithms proposed for the prediction of the women’s attendance and screening variation to their invitation for screening. With these predictions, women likely not to attend, or change appointment date, can be identified and appropriately targeted with the aim of increasing their attendance in the short term, and in the long term, reducing breast cancer mortality.

Bibliography: leaves 223-229. / xiii, 229 leaves : ill. ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / This thesis considers several aspects of multivariate analysis motivated by the South Australian prenatal Down's syndrome screen, which seeks to identify those pregnancies at high risk to Down's syndrome from several risk factors, amongst them maternal age and measurements from four analyte concentrations found in maternal blood. The primary aim is to discriminate between the unaffected and affected pregnancies in terms of these observed risk factors. Through the development of multivariate regression models it is examined how the Mahalanobis distance might be decomposed into distances that give more insight into where the discrimination is derived and how this might change with the gestational age at which the analyte concentrations are measured. A second multivariate aspect motivated by the screen surrounds the detection of directional outliers and the incorporation of knowledge of likely departures into the outlier identification technique. A method is also developed to account for misreporting in inferences of gestational age. Similarities with measurement error and misclassification models are explored. / Thesis (Ph.D.)--University of Adelaide, Dept. of Statistics, 1998?

Thesis (MSc.(Chemical Pathology)--Faculty of Health Sciences)-University of Pretoria, 2008. / Summary in English and Afrikaans. Includes bibliographical references.

Thesis (Ph. D.)--University of Texas Health Science Center at Houston, School of Public Health, 2008. / Source: Dissertation Abstracts International, Volume: 69-02, Section: B, page: 0972. Adviser: Benjamn C. Amick, III. Includes bibliographical references.

Thesis equivalent (M.P.H.)--University of Michigan, 1947.

Thesis (M.A.)--Northern Kentucky University, 2008. / Made available through ProQuest. Publication number: AAT 1459939. ProQuest document ID: 1622198781. Includes bibliographical references (p. 30-31)

Thesis equivalent (M.P.H.)--University of Michigan, 1947.

Thesis (M.P.H.)--University of Michigan, 1947.