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1.
Int J Gynecol Cancer ; 33(10): 1515-1521, 2023 10 02.
Article in English | MEDLINE | ID: mdl-37666527

ABSTRACT

INTRODUCTION: Visual inspection with acetic acid is limited by subjectivity and a lack of skilled human resource. A decision support system based on artificial intelligence could address these limitations. We conducted a diagnostic study to assess the diagnostic performance using visual inspection with acetic acid under magnification of healthcare workers, experts, and an artificial intelligence algorithm. METHODS: A total of 22 healthcare workers, 9 gynecologists/experts in visual inspection with acetic acid, and the algorithm assessed a set of 83 images from existing datasets with expert consensus as the reference. Their diagnostic performance was determined by analyzing sensitivity, specificity, and area under the curve, and intra- and inter-observer agreement was measured using Fleiss kappa values. RESULTS: Sensitivity, specificity, and area under the curve were, respectively, 80.4%, 80.5%, and 0.80 (95% CI 0.70 to 0.90) for the healthcare workers, 81.6%, 93.5%, and 0.93 (95% CI 0.87 to 1.00) for the experts, and 80.0%, 83.3%, and 0.84 (95% CI 0.75 to 0.93) for the algorithm. Kappa values for the healthcare workers, experts, and algorithm were 0.45, 0.68, and 0.63, respectively. CONCLUSION: This study enabled simultaneous assessment and demonstrated that expert consensus can be an alternative to histopathology to establish a reference standard for further training of healthcare workers and the artificial intelligence algorithm to improve diagnostic accuracy.


Subject(s)
Uterine Cervical Neoplasms , Female , Humans , Uterine Cervical Neoplasms/diagnosis , Uterine Cervical Neoplasms/pathology , Artificial Intelligence , Early Detection of Cancer/methods , Sensitivity and Specificity , Physical Examination/methods , Acetic Acid
2.
BMC Public Health ; 22(1): 1356, 2022 07 15.
Article in English | MEDLINE | ID: mdl-35840949

ABSTRACT

BACKGROUND: High-risk human papillomavirus (hrHPV) testing has been recommended by the World Health Organization as the primary screening test in cervical screening programs. The option of self-sampling for this screening method can potentially increase women's participation. Designing screening programs to implement this method among underscreened populations will require contextualized evidence. METHODS: PREvention and SCReening Innovation Project Toward Elimination of Cervical Cancer (PRESCRIP-TEC) will use a multi-method approach to investigate the feasibility of implementing a cervical cancer screening strategy with hrHPV self-testing as the primary screening test in Bangladesh, India, Slovak Republic and Uganda. The primary outcomes of study include uptake and coverage of the screening program and adherence to follow-up. These outcomes will be evaluated through a pre-post quasi-experimental study design. Secondary objectives of the study include the analysis of client-related factors and health system factors related to cervical cancer screening, a validation study of an artificial intelligence decision support system and an economic evaluation of the screening strategy. DISCUSSION: PRESCRIP-TEC aims to provide evidence regarding hrHPV self-testing and the World Health Organization's recommendations for cervical cancer screening in a variety of settings, targeting vulnerable groups. The main quantitative findings of the project related to the impact on uptake and coverage of screening will be complemented by qualitative analyses of various determinants of successful implementation of screening. The study will also provide decision-makers with insights into economic aspects of implementing hrHPV self-testing, as well as evaluate the feasibility of using artificial intelligence for task-shifting in visual inspection with acetic acid. TRIAL REGISTRATION: ClinicalTrials.gov, NCT05234112 . Registered 10 February 2022.


Subject(s)
Papillomavirus Infections , Uterine Cervical Neoplasms , Artificial Intelligence , Early Detection of Cancer/methods , Feasibility Studies , Female , Humans , Mass Screening/methods , Papillomaviridae , Papillomavirus Infections/diagnosis , Papillomavirus Infections/prevention & control , Uterine Cervical Neoplasms/diagnosis , Uterine Cervical Neoplasms/prevention & control , World Health Organization
3.
Cent Asian J Glob Health ; 9(1): e415, 2020.
Article in English | MEDLINE | ID: mdl-35866092

ABSTRACT

Introduction: In Kazakhstan, a post-Soviet country in Central Asia, salt intake is estimated as high, potentially contributing to the morbidity and mortality from cardiovascular diseases. The aim of this study was to explore salt intake in residents of the capital of Kazakhstan, Nur-Sultan. Methods: An online cross-sectional survey of knowledge, attitudes, and behaviors on salt intake among young adult residents of the capital city of Kazakhstan was conducted (n = 237). Bivariate and multivariate linear regression analyses were performed. Results: Although 95% (n=225) reported knowledge on the adverse health effects of high salt intake, older respondents were more aware of its association with high blood pressure (p = 0.007), heart disease (p = 0.037), and heart attack (p = 0.002). Only one-third (n=79) correctly identified the recommended level of daily salt intake. Females reported more awareness of Kazakhstani people consuming salt more than recommended (p = 0.0027) and that processed products constituted the major source of salt in diet (p = 0.007). General dietary concern (p < 0.001), high self-assessmen of salt intake (p < 0.001), and older age (p = 0.012) were found to be adjusted predictors of salt-reducing behavior. Conclusions: Lack of reported knowledge on salt-health relationship is of concern, especially among young males. A greater dietary concern and individual awareness of the excessive salt consumption is likely to assist in reducing salt intake. Further studies are required to validate the findings of this pilot study on a bigger population level in order to provide a basis for future salt related interventions and policy changes in Kazakhstan.

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