Yazar "Yilmaz, Ali" seçeneğine göre listele
Listeleniyor 1 - 5 / 5
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe A comparison of lateral ventricle volume estimation on magnetic resonance and cadaveric section images using the planimetry method(Elsevier Sci Ltd, 2019) Bas, Orhan; Kayaci, Selim; Celiker, Fatma Beyazal; Ucuncu, Yilmaz; Ozveren, Mehmet Faik; Yilmaz, Ali; Sahin, Bunyamin…Öğe Computer Anxiety in Nursing: An Investigation from Turkish Nurses(Springer, 2015) Top, Mehmet; Yilmaz, AliThe purpose of this study was to determine and analyze levels of computer anxiety in nurses at a public university hospital in Turkey. This study investigated the dimensions of computer anxiety in terms of computer literacy, self-efficacy, physical arousal, affective feelings, positive beliefs, and negative beliefs. Moreover in this study it was aimed to analyze relationships among computer anxiety and some characteristics of nurses (age, gender etc.). This study based on Beckers and Schmidt's computer anxiety model. The Beckers and Schmidt's Computer Anxiety Scale (BSCAS) was used for data collection. BSCAS comprises six factors: computer literacy, self-efficacy, physical arousal in the presence of computers, affective feelings towards computers, positive beliefs, and negative beliefs. At the end of the data collection period, 175 nurses were received from the population. The response rate was 43.75 %. This study showed that a majority of nurses had medium levels of computer anxiety. Overall computer anxiety means score was 12.11 +/- 1.72. Computer anxiety has significant relationship with age (r=-.153; p<.05), personal computer ownership (r=.171; p<.05). The highest correlation was between overall computer anxiety and self efficacy (r=-.859), the lowest correlation was between overall computer and negative beliefs (r=-.653). Multiple regression analysis revealed that computer anxiety of nurses was predicted significantly by self efficacy, affective feelings, physical arousal, computer literacy, positive beliefs, and negative beliefs, respectively.Öğe Determinants of health expenditure in OECD countries: A decision tree model(Professional Medical Publications, 2017) Akca, Nesrin; Sonmez, Seda; Yilmaz, AliObjective: This study aimed to identify the major variables in the estimation of health expenditure in OECD member countries with the decision tree method and to categorize the member countries by health expenditure. Methods: The study population comprised the 2014 data of the 35 OECD countries. In the study, health expenditure as a share of gross domestic product was the dependent variable while gross domestic product per capita, percentage of total population covered by public and private insurance, out-of-pocket health expenditure as percentage of total expenditure on health, age dependency ratio, life expectancy at birth, number of hospitals per million population, number of physicians per 1000 population/head counts, pharmaceutical sales and perceived health status were designated as independent variables. The decision tree model was constructed with the CART algorithm using the Orange data mining software package. Results: In the study, GDP per capita, life expectancy at birth, age dependency ratio, number of hospitals and percentage of the population with a bad perceived health status were identified as the major variables in the estimation of health expenditure. OECD countries were categorized in 6 groups according to the decision tree model. According to the CART algorithm used in the model, the classification accuracy rate and the precision of estimation were computed as 80.56% and 81.25%, respectively. Conclusion: The study results revealed that the most important determinant for estimating the share of GDP allocated to health expenditure was GDP per capita. Future studies should be conducted with the inclusion of different variables in the model.Öğe The Effect of COVID-19 Pandemic on the Turkish Society(MODESTUM LTD, 2020) Bostan, Sedat; Erdem, Ramazan; Ozturk, Yunus Emre; Kilic, Taskin; Yilmaz, AliPandemics leave significant marks on the memories of societies with their permanent impacts. Going beyond a cause of disease or death, they can have consequences in many aspects, psychological, social and economic ones being in the first place. The Covid-19 outbreak, which first emerged in China and has spread to the whole world as of the first months of 2020, has the potential to constitute a breaking the course of history, as well. Turkey is located on the transit point between Asia and Europe with its geographical position, and thus, received its share from the outbreak of Covid-19, which spreads through social contact. The first official case was recorded on 11 March 2020, and then the virus spread rapidly. This study aims to assess the attitude of the public towards Covid19 at times when the impact of the disease reached maximum. To this end, data were collected from 1586 people with different socio-demographic features through Covid-19 Pandemic Community Scale. The impact of the pandemic on the society was measured in three dimensions as Sensitivity to Pandemic, Protection against Pandemic and Social Trust. The research results showed that the people had high levels of sensitivity to the pandemic, exerted the maximum effort for protection and social trust was above the average although it fell behind the other dimensions. As a consequence, it can be concluded that Covid-19 has had a significant impact on the Turkish people.Öğe Electronic Medical Records (EMR) and Nurses in Turkish Hospitals(Springer/Plenum Publishers, 2013) Top, Mehmet; Yilmaz, Ali; Gider, OmerElectronic medical records (EMR) are generally used by nurses in hospitals. However, studies investigating views on and evaluations of EMR by nurses are limited in Turkey and in other countries around the world. In this study, nurses' views on EMR systems were investigated in terms of "Nursing care management", "Order entry", "Information Management", "Information quality", "Service quality", "Impact of EMR system on clinical care". The purpose of this study was to investigate the views/perceptions on EMR used by nurses working at hospital clinics in Turkey. The research questions were: (a) What are nurses' perceptions on EMR? (b) Were there relationships among nurses' perceptions on EMR? (c) Were there differences among nurses' perceptions on EMR according to hospitals in Turkey. This study is composed of field research conducted using questionnaires. To prepare the data-measuring instrument, the literature on EMR was reviewed. A Likert scale type was used in this questionnaire. The study was planned and conducted on nurses working at inpatient care units at four Turkish hospitals. At the end of this study, the questionnaire had been conducted on 517 nurses. Total response rate is 66.70 %. We found that the Information quality of EMR, impact of EMR system on clinical care and service quality were high level. Information quality has the highest mean score. EMR system is an important system for nurses' hospital has the highest mean score in this study. Nurses feel about impact of EMR system on clinical care that generally 'EMR system's usefulness', 'improving quality of information due to EMR system', 'improving quality of nurses' work', 'improving quality of information due to EMR system'. All of the six subscales of EMR were positively correlated with each other. This study revealed that there are significant differences among the mean scores for six subscales according to the ownership of hospitals. EMR systems were not well integrated into their workflow. In addition, half of all respondents had not been trained in using EMR systems. This study will added to evaluation views and assessments of nurses about EMR literature. The results will assist in determining "Information quality", "Service quality", of EMR, and "Impact of EMR system on clinical for nurses in Turkish health system". This survey suggests that nurses favor the use of an EMR and suggests opportunities for EMR enhancement.
