published_or_final_version / Pathology / Doctoral / Doctor of Philosophy

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The potential applicability of Fourier transform infrared (FM) spectroscopy for the study of biomolecules, has been investigated through the investigation of three specific applications. Two of the applications selected involve the classification of whole cells, whereas the third concerns the study of peptides and proteins isolated from tissues as well as synthetic peptides. In the microbiological application, for the differentiation of bacteria on the basis of their FTIR spectra, it has been found that classification is most efficiently achieved through the utilisation of artificial neural networks, and that a wide, variety of bacteria can be correctly identified with minimal sample preparation after being grown on a single growth medium. The suitability of low-cost, disposable materials as supports for the deposition of bacteria samples has also been demonstrated. In contrast to the successful classification of bacteria, it has been found that the examination of cytological smears by FTIR spectroscopy does not allow the classification of cervical cell populations into the recognised diagnostic categories. In a microscopic investigation of the same cell populations utilising infrared imaging, localised areas of the smear were found to exhibit distinct characteristics not observed in the spectra of the entire population. This indicates that infrared imaging system may be required for this type of application because the infrared spectrum recorded from a whole cervical smear does not allow the detection of the small spectral features arising from the molecular changes associated with a localised pathological state. Finally, the investigation of factors affecting the stability of peptides related to amyloidosis has shown that temperatures above 70°C, hydrostatic pressure greater than 6 kbar, and alkaline pH promote the disaggregation of the typical intermolecular beta-sheet structure of amyloid peptides. Peptides utilised as model systems for amyloidosis showed

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.

Thesis (MFamMed)--Stellenbosch University, 2014. / OBJECTIVE: The purpose of the study was to assess the safety, acceptability and feasibility of Visual Inspection with Acetic Acid and Cervicography (VIAC) followed by Cryotherapy or Loop Electrical Excision Procedure (LEEP) at a single visit for prevention of cancer of the cervix in Bulawayo, Zimbabwe. STUDY DESIGN: The study was descriptive using retrospective data extracted from electronic medical records of women attending the VIAC clinic at United Bulawayo Hospital in the period 1st February2010 to 31st December2012.Over 24 months 4641 women visited the clinic and were screened for cervical cancer using VIAC. If positive and eligible, cryotherapy or LEEP was offered immediately. Treated women were followed up at 3months and 1 year. RESULTS: The VIAC test positive rate was 10.8%.Of those eligible,17.0% received immediate cryotherapy, 44.1%received immediate LEEP, 1.9% delayed treatment and 37.0% were referred to a gynaecologist. No major complications were recorded after cryotherapy or LEEP. Among those treated99.5% expressed satisfaction with their experience. Only 3.2% of those treated at the clinic were VIAC positive one year later. The service was shown to be feasible to sustain over time with the necessary consumables. There were no service-related treatment postponements and the clinic staff and facility were able to meet the demand for the service. CONCLUSION: A single visit approach using VIAC, followed by cryotherapy or LEEP proved to be safe, acceptable and feasible in an urban African setting in Bulawayo, Zimbabwe. / AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar.

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研究背景： / 2009年起，中國政府發起並資助了一項覆蓋全國31個省221個鄉村、針對100萬名農村婦女的細胞學及肉眼觀察宮頸癌篩查試點項目。國家及地方政府需要對可行的篩查策略進行衛生經濟學評估，為下一步擴大規模的篩查提供政策依據。 / 研究目標： / 應用人群特異性Markov模型，對巴氏塗片及肉眼觀察的宮頸癌篩查策略進行成本效果及成本效用兩方面的衛生經濟學評估，進而為中國農村婦女宮頸癌篩查政策的制定提供依據。 / 研究方法： / 本論文工作建立了Markov人群動態擬合模型，該模型能夠整合與中國農村宮頸癌流行情況相吻合的成本及健康狀況的數據，進而用於擬合20年內35-59歲中國農村婦女在有/無篩查幹預下的成本、效用和效果。本文分析的八個備選篩查策略包括：採用醋酸染色肉眼觀察（VIA）或傳統細胞學（巴氏塗片）分別進行10年，5年，3年及1年一次的篩查。 / 本文從社會學角度出發，成本數據涵蓋篩查、診斷及治療過程中產生的直接及間接成本。模型在結構上綜合了已被廣泛認可的宮頸癌自然發展史模型，以及宮頸癌及其癌前病變（CIN）在中國農村進行篩查和治療的標準臨床路徑。模型輸入參數盡可能地使用了能夠反映中國農村婦女人群特異性的數據。通過對比國家報告數據與模型預測結果，本文從全死因死亡率、宮頸癌死亡率及宮頸癌發病率三個方面驗證了模型的可信度。 / 模型的結局變量包括：累計成本、累計生命年(LYs)、累計質量調整生命年(QALYs)、預期宮頸癌死亡率及發病率降低百分比(%)、CIN 相對風險、宮頸浸潤癌相對風險，增量成本效用比(ICUR, 表述為每挽救一個質量調整生命年消耗的成本)及增量成本效果比(ICER, 表述為每挽救一個生命年消耗的成本)等。與無篩查幹預相比，我們界定ICUR及ICER小於三倍人均國內生產總值（76,824元，2009年)的優勢策略為‘具有成本效益’的選擇，並將其中ICUR和ICER最低的策略，定義為‘最具成本效益’的策略，將具有最大健康效益的策略（挽救最多質量調整生命年或生命年的策略），定義為‘最有效’的策略。同時，我們對可能影響決策的不確定因素進行了敏感性分析。 / 結果： / 與無篩查幹預相比，肉眼觀察及巴氏塗片篩查均能夠減少宮頸癌患病例數，進而顯示出一定的健康效益。較短的篩查間隔具有更高的健康效益。模型預測在不同的篩查策略幹預下，宮頸癌死亡率和發病率分別有望降低6.67-31.95%和5.12-24.71%，預期CIN發病相對風險為0.89-0.98，預期宮頸癌發病相對風險為0.73-0.95。篩查幹預對健康的保護作用在本研究中得到了證實。 / 成本效用分析顯示，10年一次的肉眼觀察策略最具成本效益，其次為5年一次、3年一次、1年一次的肉眼觀察篩查策略及1年一次的巴氏塗片篩查策略。與無篩查幹預相比，如上策略每挽救一個質量調整生命年消耗的成本為11,921至26,069元（1,892-4,138美元，2012年）。同時成本效果分析也顯示，10年一次的肉眼觀察策略最具成本效益，其次為5年一次的肉眼觀察策略及5年一次的巴氏塗片篩查策略。同樣與無篩查幹預相比，如上策略每挽救一個生命年消耗的成本為37,211至68,226元（5,906-18,830美元，2012年）。 / 對於某一既定策略，相應的ICUR和ICER受當地經濟狀況相關因素的影響最大，這些因素包括治療成本、篩查成本和成本貼現率。從檢測技術水平上看，肉眼觀察對分析結果的影響小於巴氏塗片，原因是前者敏感度範圍較小。篩查覆蓋率、初篩陽性隨訪率、診斷陽性治療率也都與相應的ICUR和ICER呈負相關性。敏感性分析結果顯示本文中模型對於健康結局的預測，及相關的衛生經濟學分析，受自然史模型中HPV感染和CIN之間轉移概率的不確定性的影響最大。HPV感染與CIN間的進展和逆轉概率是該項模型研究的核心參數。 / 結論： / 本文中成本效用和成本效果分析均顯示，相較於傳統的細胞學篩查策略，採用間隔時間較長（10年或5年）的肉眼觀察篩查策略，對一般發病地區的35-59歲的農村婦女來說，是更具‘成本效益’的選擇。對於宮頸癌高發地區，其篩查頻率可以提高到1年一次。1年一次的巴氏塗片篩查策略，是最有效的篩查策略，可以挽救最多的生命。但採用該策略時，應在財政預算允許的前提下，確保篩查技術和項目完成的質量。 / 篩查項目的高覆蓋率，對篩查陽性患者良好的隨訪和診治，初篩檢測技術平均水平以上的表現，以及較低的篩查和治療成本是確保篩查項目具備成本效益優勢的核心因素。本文完成的成本效用及成本效果分析，能夠為公共衛生決策提供重要的輔助作用。 / Background: / A Chinese government-sponsored cytology/visual inspection pilot cervical cancer screening program covered 10 million rural women in 221 counties of 31 provinces was initiated in 2009. Both the local and national governments in China need health economic evaluations of feasible strategies so as to make better policies for the next-step enlarging screening. / Objectives: / To perform health economic evaluations of Pap smear and visual inspection cervical cancer screening strategies using population-specific Markov modeling cost-utility (CUA) and cost-effectiveness (CEA) analyses, in order to assist screening policy making for women in rural China. / Methods: / Markov simulation models were developed to synthesize the evidence on costs and health outcomes related to cervical cancer epidemiology in rural China, and applied to predict the long-term utility, effectiveness and costs for hypothetical cohorts of 35-59 years old rural Chinese women, with or without the presence of screening over 20 years. The eight alternative screening strategies assessed were visual inspection with acetic acid (VIA) or traditional cytology (Pap smear) each with ten-year, five-year, three-year and one year screening intervals. / The study was conducted from the societal perspective, thus both directed and non-direct costs related to screening, diagnosis and treatment interventions were considered. The model structures incorporated with the well-accepted the natural history model of cervical cancer and the standard clinical pathway of screening and treatment interventions for precancerous lesions (CIN) and cervical cancer in real practice in rural China. Population-specific data were used as much as possible to be the model inputs. The model estimates were validated by comparison of our predictions of all-cause mortality, cervical cancer mortality and cervical cancer incidence with the national reported data. / Outcome variables included cumulative cost, life years (LYs), quality-adjusted life years (QALYs), predicted reduction(%) in cervical cancer mortality and incidence, relative risk of CIN, relative risk of cervical cancer, incremental cost-utility ratio (ICUR, presented as cost per QALY saved) and incremental cost-effectiveness ratio (ICER, presented as cost per life year saved). Compared with no screening, not-dominated strategies with ICUR and ICER less than three times China’s GDP per capita (76,824 CNY, 2009) were considered to be ‘cost-effective’ options. Among the identified ‘cost-effective’ options, the strategy with lowest ICUR or ICER was defined as the most cost-effective strategy, and the strategy with the highest health benefit (largest QALY saved or life year saved) was defined as the most effective strategy. Sensitivity analyses were conducted to test the effect of uncertainties on decision making. / Results: / All of the VIA and Pap smear screening strategies of showed certain benefits due to the decreased number of women developing cervical cancer, when compared with no screening. A trend for shorter screening interval to have greater benefit was also found. Cervical cancer mortality and incidence were expected to be reduced by 6.67-31.95% and 5.12-24.71% with different screening strategies. And the predicted relative risks of CIN and invasive cervical cancer of 0.89-0.98 and 0.73-0.95, respectively, also demonstrated the protective effect of screenings. / Modeling cost-utility analysis identified ten years VIA screening as the most cost-effective strategy followed by VIA screening with five-, three- and one year interval and Pap smear screening with a one year interval. Compared with no screening, the incremental costs per QALY saved of these strategies ranged from 11,921 to 26,069 Yuan (1,892-4,138 US dollars, 2012). In the meanwhile, modeling cost-effectiveness analysis also identified ten-years VIA screening as the most cost-effective strategy followed by VIA screening with five-year intervals and Pap smear screening with five-year intervals. Compared with no screening, the incremental costs per life year saved of these strategies ranged from 37,211 to 68,226 Yuan (5,906-18,830 US dollars, 2012). / Both ICUR and ICER of a selelected strategy were greatest influnced by factors related to variations in local economies , including treatment cost, screening cost and discounting rate of the cost. The influence of primary test performance of VIA was rather less than that of Pap smear due to the narrower ranges of the VIA sensitivities. Screening coverage, follow-up rate and treatment rate were also negatively associated with ICUR and ICER. Health outcome predictions and health economic analyses were mostly influenced by the uncertainties in HPV infection and CIN transitions in the natural history. Progression and regression probabilities between HPV infection and CIN were considered to be the key parameters of the simulation models. / Conclusions: / Baseline CUA and CEA results suggested that in comparison with traditional cytology screening strategies, organized VIA screening with long intervals (ten or five years) were more cost-effective options than for 35-59 years old women in normal incidence areas of rural China. The VIA screening interval can be shorten to one year in high incidence areas. Pap smear strategy with one year interval can be utilized as the most effective strategy with most lives saved when budget allows and the performances of program and test are ensured. / High coverage of the screening program, good management of screening positives, average or above performance of primary test, and lower screening and treatment costs are key elements for a cost-effective screening program. Cost-utility and cost-effectiveness analyses, such as the one conducted in this thesis study, can be considered important adjuncts to policy decision-making about public health objectives. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Li, Xue. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 388-401). / Abstracts also in Chinese; appendixes includes Chinese. / Abstract of thesis --- p.i / 中文摘要 --- p.v / ACKNOWLEDGEMENTS --- p.viii / TABLE OF CONTENTS --- p.1 / LIST OF TABLES --- p.8 / LIST OF FIGURES --- p.11 / ABBREVIATIONS --- p.12 / Chapter CHAPTER 1 --- INTRODUCTION --- p.14 / Chapter 1.1 --- Epidemiological patterns and disease burden of cervical cancer --- p.14 / Chapter 1.1.1 --- Cervical cancer incidence and mortality worldwide --- p.14 / Chapter 1.1.2 --- Risk factors for cervical cancer --- p.15 / Chapter 1.1.2.1 --- Human Papillomavirus (HPV) --- p.15 / Chapter 1.1.2.2 --- Parity --- p.16 / Chapter 1.1.2.3 --- Smoking --- p.16 / Chapter 1.1.2.4 --- Human Immunodeficiency Virus (HIV) --- p.17 / Chapter 1.1.2.5 --- Contraception --- p.17 / Chapter 1.1.2.6 --- Sexual behavior, nutrition and other factors --- p.18 / Chapter 1.1.3 --- Disease burden of cervical cancer in China --- p.18 / Chapter 1.1.3.1 --- Epidemiology of Cervical Cancer in China --- p.18 / Chapter 1.1.3.2 --- Cervical cancer in different geographic areas of China --- p.20 / Chapter 1.2 --- The need for cost-effectiveness analysis of cervical screening strategies in China --- p.21 / Chapter 1.2.1 --- Cervical cancer prevention in China --- p.21 / Chapter 1.2.2 --- Why do we need a modeling cost-effectiveness analysis? --- p.23 / Chapter 1.3 --- Natural history of cervical cancer --- p.25 / Chapter 1.3.1 --- Terminology --- p.25 / Chapter 1.3.2 --- Natural history of cervical cancer --- p.27 / Chapter 1.4 --- Secondary prevention strategies of cervical cancer --- p.29 / Chapter 1.4.1 --- Screening tests --- p.29 / Chapter 1.4.1.1 --- Cervical cytology --- p.29 / Chapter 1.4.1.2 --- Visual Inspection --- p.32 / Chapter 1.4.1.3 --- HPV testing --- p.36 / Chapter 1.4.2 --- Summary of different screening strategies all over the world --- p.37 / Chapter CHAPTER 2 --- LITERATURE REVIEW --- p.40 / Chapter 2.1 --- Background --- p.40 / Chapter 2.2 --- Objectives of the literature review --- p.41 / Chapter 2.3 --- Search strategies and results --- p.41 / Chapter 2.3.1 --- Search strategies --- p.41 / Chapter 2.3.2 --- Inclusion and exclusion criteria --- p.42 / Chapter 2.4 --- Literature results summary --- p.44 / Chapter 2.4.1 --- Methodology, target population and analytical perspective --- p.44 / Chapter 2.4.2 --- Screening test and program performance --- p.47 / Chapter 2.4.3 --- Cost and utility estimation --- p.49 / Chapter 2.4.4 --- Model parameter sources and validation --- p.53 / Chapter 2.4.5 --- Alternatives and identified cost-effective strategies --- p.58 / Chapter 2.5 --- Conclusions --- p.63 / Chapter CHAPTER 3 --- OBJECTIVES --- p.64 / Chapter 3.1 --- General Objectives --- p.64 / Chapter 3.2 --- Alternative cervical cancer screening strategies in this study --- p.64 / Chapter 3.3 --- Decision rules for recommended cost-effective options --- p.65 / Chapter 3.4 --- Analytical perspective and time horizon --- p.65 / Chapter 3.5 --- Objectives --- p.66 / Chapter 3.6 --- Analytical scenario in this study --- p.66 / Chapter 3.6.1 --- Patterns of cervical screening program delivery in rural China --- p.67 / Chapter 3.6.2 --- Demographic profile of the simulated hypothetical cohort --- p.67 / Chapter 3.6.3 --- Summary of model assumptions --- p.68 / Chapter 3.6.3.1 --- Assumptions related to screening performance and clinical practice --- p.68 / Chapter 3.6.3.2 --- Assumptions related to epidemiological characteristics of cervical cancer --- p.68 / Chapter 3.6.3.3 --- Assumptions related to economic evaluation --- p.69 / Chapter CHAPTER 4 --- METHODOLOGY --- p.70 / Chapter 4.1 --- Alternative strategies in this study --- p.70 / Chapter 4.2 --- Markov Model Developments and Applications --- p.72 / Chapter 4.2.1 --- General introduction of Markov Transition Model --- p.72 / Chapter 4.2.2 --- Structure of Markov models --- p.76 / Chapter 4.2.2.1 --- Natural history model of cervical cancer --- p.76 / Chapter 4.2.2.2 --- Structure of Pap smear and Visual Inspection screening models --- p.82 / Chapter 4.2.2.3 --- Structure of precancerous lesion and invasive cancer treatment models --- p.83 / Chapter 4.2.2.4 --- Interaction of the models --- p.85 / Chapter 4.2.3 --- Demographic profile of the hypothetical cohort --- p.86 / Chapter 4.2.4 --- Probabilities --- p.88 / Chapter 4.2.4.1 --- Identification and converting between rate and probability --- p.89 / Chapter 4.2.4.2 --- Initial probabilities --- p.90 / Chapter 4.2.4.3 --- Transition probabilities --- p.91 / Chapter 4.2.5 --- Screening, diagnosis and treatment characteristics --- p.101 / Chapter 4.2.5.1 --- Screening program characteristics --- p.101 / Chapter 4.2.5.2 --- Diagnosis test performance --- p.104 / Chapter 4.2.5.3 --- Precancerous lesions treatment characteristics --- p.104 / Chapter 4.2.5.4 --- Invasive cancer and treatment characteristics --- p.106 / Chapter 4.2.6 --- Model validation --- p.111 / Chapter 4.3 --- Cost data collection --- p.112 / Chapter 4.3.1 --- Perspective of study --- p.112 / Chapter 4.3.2 --- Selection of study sites --- p.113 / Chapter 4.3.3 --- Screening cost data collection --- p.113 / Chapter 4.3.4 --- Treatment cost data collection --- p.115 / Chapter 4.4 --- Cost-utility analysis and cost-effectiveness analysis --- p.117 / Chapter 4.4.1 --- General introduction of these two analyses --- p.117 / Chapter 4.4.2 --- Utility Estimates --- p.118 / Chapter 4.4.3 --- Screening utility and effectiveness evaluation --- p.120 / Chapter 4.4.4 --- Cost-effectiveness and cost-utility analysis method --- p.122 / Chapter 4.5 --- Time horizon and discounting rate --- p.125 / Chapter 4.6 --- Summary of modeling assumptions --- p.126 / Chapter 4.6.1 --- Assumptions related to screening performance and clinical practice --- p.126 / Chapter 4.6.2 --- Assumptions related to epidemiological characteristics of cervical cancer --- p.127 / Chapter 4.6.3 --- Assumptions related to economic evaluation --- p.128 / Chapter 4.7 --- Sensitivity analysis --- p.128 / Chapter 4.8 --- Ethical approval --- p.129 / Chapter CHAPTER 5 --- RESULTS --- p.130 / Chapter 5.1 --- Model validation --- p.130 / Chapter 5.2 --- Cost analysis results --- p.134 / Chapter 5.2.1 --- Screening costs results --- p.134 / Chapter 5.2.2 --- Treatment cost results --- p.136 / Chapter 5.2.3 --- The proportional costs breakdown for different screening strategies --- p.139 / Chapter 5.3 --- Utility estimation results --- p.141 / Chapter 5.4 --- Cost-utility analysis results --- p.144 / Chapter 5.4.1 --- Baseline analysis --- p.144 / Chapter 5.4.2 --- Influence of screening program performance --- p.148 / Chapter 5.4.2.1 --- Coverage of the screening program --- p.148 / Chapter 5.4.2.2 --- Follow up rate and treatment rate of positives --- p.155 / Chapter 5.4.3 --- Influence of screening test performance --- p.159 / Chapter 5.4.4 --- Influence of costs --- p.165 / Chapter 5.4.4.1 --- Influence of screening costs --- p.165 / Chapter 5.4.4.2 --- Influence of treatment costs --- p.168 / Chapter 5.4.5 --- Influence of discounting --- p.171 / Chapter 5.4.6 --- Summary of factors and their influences on the baseline CUA results --- p.174 / Chapter 5.5 --- Cost-Effectiveness analysis results --- p.180 / Chapter 5.5.1 --- Baseline analysis --- p.180 / Chapter 5.5.1.1 --- Life year saved --- p.181 / Chapter 5.5.1.2 --- Cervical cancer mortality reduction --- p.185 / Chapter 5.5.1.3 --- Cervical cancer incidence reduction --- p.187 / Chapter 5.5.1.4 --- Relative risk of CIN and cervical cancer --- p.189 / Chapter 5.5.1.5 --- Effectiveness summary of alternative screening strategies on the hypothetical 100,000 rural Chinese women --- p.191 / Chapter 5.5.2 --- Factors that influence the CEA results --- p.195 / Chapter 5.5.2.1 --- Best scenario analysis --- p.196 / Chapter 5.5.2.2 --- Worst scenario analysis --- p.201 / Chapter 5.5.2.3 --- Summary of the possible ranges of costs and effectiveness in different scenarios --- p.206 / Chapter 5.6 --- Sensitivity analysis --- p.209 / Chapter 5.6.1 --- Sensitivity analysis of Cost-Utility analysis results --- p.209 / Chapter 5.6.1.1 --- Tornado analysis --- p.209 / Chapter 5.6.1.2 --- One-way sensitivity analysis --- p.213 / Chapter 5.6.2 --- Sensitivity analysis of Cost-Effectiveness analysis results --- p.220 / Chapter 5.6.2.1 --- Tornado analysis --- p.220 / Chapter 5.6.2.2 --- One-way sensitivity --- p.224 / Chapter 5.6.3 --- Summary of sensitivity results --- p.236 / Chapter CHAPTER 6 --- SUMMARY, DISSICUSSION AND CONCLUSIONS --- p.240 / Chapter 6.1 --- Summary of Markov model development and validation --- p.240 / Chapter 6.1.1 --- Category and source summary of input parameters --- p.240 / Chapter 6.1.2 --- Model validation --- p.244 / Chapter 6.2 --- Summary of modeling results --- p.245 / Chapter 6.2.1 --- Summary of Cost-Utility Analysis --- p.245 / Chapter 6.2.1.2 --- Baseline analysis findings --- p.245 / Chapter 6.2.1.2 --- Influential factors on the cost-effective manner of alternative strategies --- p.246 / Chapter 6.2.2 --- Summary of Cost-Effectiveness Analysis --- p.250 / Chapter 6.2.2.1 --- Baseline analysis findings --- p.251 / Chapter 6.2.2.2 --- Possible ranges for cost and effectiveness of alternative strategies under different scenarios --- p.253 / Chapter 6.2.3 --- Summary of CUA and CEA findings --- p.257 / Chapter 6.2.4 --- Summary of sensitivity analysis --- p.259 / Chapter 6.2.4.1 --- Important variables on health outcome predictions --- p.259 / Chapter 6.2.4.2 --- Sensitive variables to the baseline CUA and CEA recommendations --- p.260 / Chapter 6.2.4.3 --- Overview of the sensitivity analysis --- p.263 / Chapter 6.3 --- Discussion --- p.264 / Chapter 6.3.1 --- Alternative strategies of cervical cancer screening in rural China --- p.264 / Chapter 6.3.1.1 --- Target ages --- p.265 / Chapter 6.3.1.2 --- Screening intervals --- p.266 / Chapter 6.3.1.3 --- Feasible primary screening tests --- p.267 / Chapter 6.3.1.4 --- Service delivering patterns --- p.269 / Chapter 6.3.1.5 --- Time horizon of this thesis study --- p.270 / Chapter 6.3.2 --- Transition probability estimation --- p.271 / Chapter 6.3.3 --- Screening and treatment cost estimation --- p.276 / Chapter 6.3.3.1 --- Representativeness of the selected counties --- p.276 / Chapter 6.3.3.2 --- Screening costs of VIA and Pap smear --- p.277 / Chapter 6.3.3.3 --- Treatment costs --- p.279 / Chapter 6.3.4 --- Utility estimation --- p.280 / Chapter 6.3.4.1 --- Instrument selection --- p.280 / Chapter 6.3.4.2 --- Utility estimation between studies --- p.281 / Chapter 6.3.5 --- Baseline cost-utility and cost-effectiveness analyses --- p.283 / Chapter 6.3.6 --- Sensitivity Analysis --- p.284 / Chapter 6.3.7 --- Strengths and limitations --- p.286 / Chapter 6.3.7.1 --- Limitations --- p.286 / Chapter 6.3.7.2 --- Strengths --- p.288 / Chapter 6.4 --- Policy implications --- p.289 / Chapter 6.4.1 --- How to manage a cost-effective cervical cancer screening program? --- p.289 / Chapter 6.4.2 --- How can VIA screening be adopted? --- p.290 / Chapter 6.4.3 --- How can Pap smear screening be adopted? --- p.291 / Chapter 6.4.4 --- Framework for policy decision making --- p.292 / Chapter 6.5 --- Conclusions --- p.295 / Chapter APPENDIX --- p.300 / Chapter Appendix 1-1 --- The 2001 Bethesda System* --- p.300 / Chapter Appendix 1-2 --- The FIGO Staging for cervical cancers* --- p.301 / Chapter Appendix 1-3 --- Cervical Cancer Screening Program in different countries --- p.302 / Chapter Appendix 4-1 --- WHO World Standardized Population Distribution (%) --- p.305 / Chapter Appendix 4-2 --- Summary of transition probabilities literature review --- p.306 / Chapter Appendix 4-3 --- Price Indices from 1978 to 2010 --- p.326 / Chapter Appendix 4-4 --- Screening Cost Questionnaire --- p.327 / Chapter Appendix 4-5 --- Programmatic Cost Survey Questionnaire --- p.339 / Chapter Appendix 4-6 --- Treatment Cost Survey Questionnaire --- p.342 / Chapter Appendix 4-7 --- EQ-5D Algorism (UK) --- p.344 / Chapter Appendix 4-8 --- Chinese Version of EQ5D----HQOL score questionnaire --- p.345 / Chapter Appendix 5-1 --- Calibrated variables and its final settings --- p.348 / Chapter Appendix 5-2 --- Cervical cancer new cases and deaths all over the world in 2008 --- p.349 / Chapter Appendix 5-3 --- Data distribution of CIN2-3 and cervical cancer treatment costs --- p.350 / Chapter Appendix 5-4 --- Relative risk of CIN and cervical cancer by age groups of alternative screening strategies --- p.361 / Chapter Appendix 5-5 --- Influence of discounting rate of life years on the CEA results --- p.363 / Chapter Appendix 5-6 --- Tornado analysis results based on the effect on QALYs predictions --- p.367 / Chapter Appendix 5-7 --- Tornado analysis results based on the effect on life-year predictions --- p.372 / Chapter Appendix 6-1 --- Summary of Markov Model Inputs and Sources --- p.377 / REFERENCE --- p.388

Background: A global cervical cancer health disparity persists despite the demonstrated success of primary and secondary preventive strategies, such as cervical visual inspection (VI). Cervical cancer is the leading cause of cancer incidence and death for women in many low resource areas. The greatest risk is for those who are unable or unwilling to access screening. Barriers include healthcare personnel shortages, cost, transportation, and mistrust of healthcare providers and systems. Using community health workers (CHWs) may overcome these barriers, increase facilitators, and improve participation in screening for women in remote areas with limited access to clinical resources. Aim: To determine whether the accuracy of VI performed by CHWs was comparable to VI by physicians or nurses and to consider the affect components of provider training had on VI accuracy. Methods: A systematic review and quantitative meta-analysis of published literature reporting on VI accuracy, provider type, and training was conducted. Strict inclusion/exclusion criteria, study quality, and publication bias assessments improved rigor and bivariate linear mixed modeling (BLMM) was used to determine the affect of predictors on accuracy. Unconditional and conditional BLMMs, controlling for VI technique, provider type, community, clinical setting, HIV status, and gynecological symptoms were considered. Results: Provider type was a significant predictor of sensitivity (p=.048) in the unconditional VI model. VI performed by CHWs was 15% more sensitive than physicians (p=.014). Provider type was not a significant predictor of accuracy in any other models. Didactic and mentored hours predicted sensitivity in both BLMMs. Quality assurance and use of a training manual predicted specificity in unconditional BLMMs, but was not significant in conditional models. Number of training days, with ≤5 being optimal, predicted sensitivity in both BLMMs and specificity in the unconditional model. Conclusion: Study results suggest that community based cervical cancer screening with VI conducted by CHWs can be as, if not more, accurate than VI performed by licensed providers. Locally based screening programs could increase access to screening for women in remote areas. Collaborative partnerships in “pragmatic solidarity” between healthcare systems, CHWs, and the community could promote participation in screening resulting in decreased cervical cancer incidence and mortality. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection

Cervical cancer is the most common malignancy after breast cancer in women worldwide. It accounts for 83% of all new cases and 85% cancer death in developing countries. In South Africa, cervical cancer is the common cancer in women with an annual crude incidence rate of 30.2 per 100,000 women and the highest rate were found to be in women between the ages of 66-69 years. Approximately 6800 women in S.A face new case of cervical cancer while accounting for 3700 cancer death annually. Because of unequal access to the health facilities, socio-economic differences, HPV and HIV infection, the rate of cervical cancer in black women is higher (42.1%) compared to the low rate in white women. Because of the name “cancer bush’ given to Sutherlandia Frutescence(S.F) plant by the traditional healers as well as Xhosas, Zulu, Sotho and cape Dutch for its anti-cancer activity, the plant was in this study to confirm its cytotoxic effect on the cervical cancer cell lines. Aim of the study: to evaluate the methanolic extracts of Sutherlandia Frutescens on cervical cancer cell lines. Materials and Methods: The MTT assay was performed to evaluate SiHa cell lines treated with methanolic extract of S.F (50μg/ml, 100μg/ml, 150μg/ml and 200μg/ml). The three compounds (Canavanine, GABA and Pinitol) were also evaluated for its anti-tumour activity. The cell growth was then showed in real time using Xcilligence. Flow cytometry was employed to determine the mode of action. Caspase 3/7 assay was performed to confirm if cell death was via caspase-dependent or independent and ATP was done to assess the ATP level in S.F treated cells. Results: MTT shows a significant decline in cells treated with 50μg/ml, 100μg/ml and 200μg/ml of the extract and 50μg/ml was concluded to be the concentration at which 50% of the cells die. The ATP results are inconsistent with MTT result; the ATP level increased in S.F treated cells. Cell index which represents the quantitative measure of cell growth in real time decline upon treatment with 50μg/ml. Flow cytometry showed cells are dying by apoptosis and the cell cycle arrest is mostly in the S phase. The cell death was caspase-dependent as it shows an increased luminescence which is proportional to the number of caspase. The concentrations of the compounds used, Canavanine (1000μM, 1500μM and 2500μM), GABA (100μM, 300μM and 500μM) and Pinitol (30μM, 90μM and 120μM) induce cell death and cell death shows to decrease after the maximum concentration. Conclusion: Sutherlandia Frutescence has proven with number of research that it induces cell death via apoptosis. After evaluating its cytotoxicity, the plant shows to be a promising anti-tumor agent that needs to be clinically proven. / Life Sciences / M. Sc. (Life Science)