A System Dynamics Model Of The Impact Of E-health Systems On Cervical Cancer Vaccination In Kenya

Abstract

Cervical cancer is the second most regular disease among women of conceptive age in Kenya. It has one of the most astounding rates and mortality cases in Kenya. This is in spite of a ton of noticeable quality being put on preventive and screening administrations while there is a scarcity of consideration on the effect of utilization of e-health frameworks in the vaccination and treatment of cervical cancer patients in Kenya. The e-health scope of this study referred to use of electronic devices in accessing information on cervical cancer management. The impact of this knowledge would be translated to increased positive attitude towards vaccination and screening as well as an increase in demand for these interventions. The effect of e-health frameworks is crucial for therapeutic and aversion metastatic spread of the sickness and decrease in mortality cases in Kenyan malignant growth care focuses. The aim of this study was to create a system dynamics model of the impact of e-health systems on cervical cancer Vaccination in Kenya. As part of the research a literature review of documentations related to the study was done from which a methodology to conduct the study was drawn. In Phase one of the study a qualitative evaluation to establish experiences, opportunities and challenges faced by cervical cancer managers in Kenya was done by issuing out google questionnaires. 20 Cervical cancer managers drawn from cancer care centres in Nairobi who filled out the questionnaires and 102 participants on their take on cervical cancer vaccination. It was established that Mobile phones were highly accessibility. Negative attitudes towards screening procedure and Cervical Cancer patients need urgent attention. In phase two of the study the simulation model to evaluate possible effects of vaccination and e-health tools was developed using Stella by i think. Model valuations to evaluate the effects of different mediations were done they showed that that at all different ages the quantity of ladies being vaccinated against malignancy will increment massively until they achieve a steady level. In phase three of the study a validation test of the model was done using regression and analysis that saw the predictability of the model being of an acceptable level. The study therefore concluded that the access to e-health systems increases the number of vaccinations over time. E-health would be a complementary measure to cervical cancer vaccination in Kenya.