Bir yeraltı kömür madeni için risk değerlendirmesi ve kaza tahmini.

In Turkey, underground coal mine accidents are commonly faced problems and cause loss of lives and money. In order to prevent these accidents, the hazards and risks specific to each mine should be assessed by both ordering the risk scores and building a statistical model for the future trend of accidents. In this study, past accident records of Üzülmez District of Turkish Hard Coal Enterprises is utilized. The risk scoring model is built by using Riskex Risk Score Calculator based on Fine-Kinney risk score equation. In accident forecasting, multiple linear regression and time series analysis techniques are utilized by the aid of the Minitab 17 software. The data taken from Turkish Hard Coal Enterprises the Department of Labor Health, Safety and Education includes accident type, location, work shift, job, affected body part, age and experience for each recorded accident. Firstly, the scores of the risk of those seven category is found by utilizing Fine-Kinney method and the risks of each accident type, accident location, shift, job, body part affected after having an accident, age group and experience duration are ordered in order to find the relative seriousness of them. Secondly, expected number of accidents in future is forecasted with the aid of multiple linear regression and time series analysis. By performing multiple linear regression it is aimed to observe how the variables like raw coal production, total gallery advance, total number of workers, explosive consumption, and timber consumption effect number of accidents. By time series analysis, the number of accidents expected in future is determined which is thought to provide benefits to occupational health and safety managers in monitoring the performance of safety precautions. Time series model is found to be more reliable and practicable than multiple linear regression which uses just the monthly number of accidents as random variable. Research findings revealed that moving average time series model is the best fit model when the evaluation is made in terms of calculated accuracy values. However, quadratic trend model should be preferred when long term forecast horizon is needed.M.S. - Master of Scienc

Outcomes of University Hospital Outpatient Smoking Cessation Clinic in İzmir

Aim and objective The aim of this study is to determine characteristics, smoking habits, therapy for quitting and smoking cessation success who applied to the university hospital, outpatient smoking cessation clinic in İzmir. Methods This descriptive study was carried out using the records in the outpatient electronic health record system of the patients who applied to Dokuz Eylul University Smoking Cessation Outpatient Clinic between January 2014 and August 2017. Demographic data, smoking habits, type of therapy and follow-up data were evaluated from these records. Later, all patients were assessed for smoking cessation by telephone interview. SPSS 22.0 program was used for mean, standard deviation of descriptive continuous variables. It was also evaluated frequency and percentage of categorical variables. Results The mean age of participants was 41.4± 12.8. 39% of participants were women, where 60.3% were men. 64.1% of participants was married. The cigarette consumption (package/ year) was 26.9± 21.6. The mean score of Fargerstrom Test for Nicotine Dependence was 5.96± 2.5. According to the Hospital Anxiety and Depression scale, 67.6% of participants had anxiety, where 56.2% had depression. As a smoking cessation therapy, 25.1% of participants treated with vareniclin, 2.5% participants treated with nicotine replacement therapy and 34.3% with bupropion. All of the patients received cognitive behavioural therapy. 24.4% of participants quit smoking. Conclusions Pharmacotherapy was given to the majority of patients who applied to smoking cessation outpatient clinic. The cessation of smoking is also high. Smoking cessation outpatient clinic have an important role in being successful in smoking cessation