Publisher: Sağlık Bakanlığı   (Total: 1 journals)   [Sort by number of followers]

Showing 1 - 1 of 1 Journals sorted alphabetically
Eurasian J. of Health Technology Assessment     Open Access   (Followers: 1, SJR: 2.262, CiteScore: 5)
Similar Journals
Journal Cover
Eurasian Journal of Health Technology Assessment
Journal Prestige (SJR): 2.262
Citation Impact (citeScore): 5
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2587-0122
Published by Sağlık Bakanlığı Homepage  [1 journal]
  • Book Review: "Everything You Always Wanted to Know About European Union
           Health Policy But Were Afraid to Ask"

    • Authors: Ecem ACAR
      Abstract: In this study, the European Union (EU) Health policy book published by the World Health Organization in 2022 with the title "Everything you always wanted to know about European Union health policy but were afraid to ask" was reviewed. In this book, it is seen that the policies of the EU before and after COVID-19 are explained comparatively. The book is thought to be an important resource for researchers who want to learn about the developments in EU health policy with COVID-19.
      PubDate: Sat, 31 Dec 2022 00:00:00 +030
  • Comparative Analysis of Tobacco Cessation Policies in Türkiye and
           United Kingdom

    • Authors: Mehtap ÇAKMAK BARSBAY
      Abstract: This study aims to compare stop smoking treatment policies in Turkiye with that of United Kingdom. Firstly, tobacco control strategies proposed by World Health Organization and their applications in both countries were examined, and then tobacco cessation treatment policies were compared. Tobacco cessation services consisting of prescription drug treatments, health education and supportive behavior therapy, and brief advice were reimbursed partially free of charge in United Kingdom. Cost of medications in tobacco cessation treatment in Türkiye was not reimbursed by Social Security Institution. However, medications for stop smoking, which were provided by Ministry of Health, were distributed free of charge to those who intended to quit, in case it was prescribed by an authorized physician. Access to tobacco cessation services is critical in achieving equity and eliminating disparities in tobacco control. Hence, greater efforts are needed to make tobacco control strategies more effective.
      PubDate: Sat, 31 Dec 2022 00:00:00 +030
  • Determining Patient Perception Level of Informed Consent Forms Signed
           Before Interventional Procedures

    • Authors: Muhammet Ali ORUÇ; Bekir ŞAHİN, Funda DEMİRKILIÇ, Arzu KESKİN GÖKSEL, Hüseyin Yalçın BÜYÜKKARABACAK
      Abstract: This study was carried out in order to determine what the illuminated consent forms signed before the interventional procedure mean to the patient's eyes, what the level of consciousness is when approving it, and its relationship with educational status. In addition, the appropriateness of the informed consent procedure was also evaluated. The study will contribute to the most accurate realization of the information and informed consent procedure, which is mandatory within the scope of patient rights. Thus, both the level of understanding from the point of view of patients will increase, and the level of assurance of the physician who receives the consent with the correct information will increase in the face of the law. Our study is of a complementary type and was conducted by interviewing 268 people aged 18 and over who will undergo interventional procedures in the surgical clinics of two hospitals located in the city center of Samsun face-to-face and using the questionnaire application method. As a result of the research, about 21% of the study participants said that they did not know that they had the right not to give consent if they did not want interventional processing before the procedure. It has been evaluated that the patient perception is not at an adequate level in this regard. It was observed that about 23% of the participants either did not understand at all or partially understood what was being explained. When the proportions of those who think that there is not enough information were examined, it was seen that the education level was at the literacy level of 18.9%. The informed consent form, the patient doesn't know the meaning of words when asked if he had, of all age groups %30,6 that they don't know the meaning for words at literacy among patients, the rate of %45,9%, it was determined that rose to. It was revealed that 55.6% of the consent form signatures before the interventional procedure were received by the nurse and 28.7% by the secretary. It was found that 34.7% of the informed consent form was signed by the patient's relative. When the results were evaluated, it was determined that the information should be signed by the relevant parties and studies should be carried out on the preparation of informed consent forms at a level that patients at all levels of education can understand by determining their perception levels.
      PubDate: Sat, 31 Dec 2022 00:00:00 +030
  • A Review on Machine Learning Algorithms in Healthcare

    • Authors: Lütviye Özge POLATLI; Melis Almula KARADAYI
      Abstract: In recent years, the issue of improving health processes by using machine learning algorithms by researchers has become a big trend. Machine learning has become a popular and effective method used to improve the quality of healthcare services, prevent disease outbreaks, diagnose diseases early, reduce hospital operating costs, assist the government in healthcare policies, and increase healthcare efficiency. In this review, machine learning studies carried out in the field of health are summarized and classified. In particular, the focus is on studies of non-communicable diseases, which threaten public health and are at the top of the list of causes of death in the world. In addition, the COVID-19 disease, which is on the list of the world's largest deadly diseases and has been declared a public health emergency in recent years, is also included. The purpose of this study is to assist researchers working in the field of health in choosing appropriate algorithms. As a result of the compilation studies, the best performing classification algorithm in healthcare services was Decision Tree(DT), Random Forest (RF), Gaussian Naive Bayes (GNB) with an average accuracy of 100%.
      PubDate: Sat, 31 Dec 2022 00:00:00 +030
  • Evaluation of Healthcare Institution Preference with Analythical Hierarchy
           Process in COVID-19 Pandemia Period

    • Authors: Aygülen KAYAHAN KARAKUL; Melike ÇIRAK
      Abstract: COVID-19 Pandemia has shown its social, economic and human effects destructively in all areas locally, regionally, nationwide and globally. It has affected many sectors like procduction, transportation, automotive, electronics, constructions, machines, food and education in a very negative way. One of the most affected sectors in this pandemia is health. This pandemia process has been managed with planning, organising and coordinating the health services and it is still ongoing. Public health services have been categorized as 1st,2nd, and 3rd level health services by the Ministry of Health and services have been provided in these levels. In case individuals show the symptoms of the epidemic illness, they are enabled with going to all three kinds of healthcare facility for diagnosis and treatment. In this study, healthcare facility preferences in COVID-19 pandemic process are organised with Analytical Hierarchy Process method. In this context, within health facility choice criteria, the suitable ones for COVID-19 process, which are the distance of the facility to the house, advices about health facilities of other people who caught COVID-19, the exigence in emergency situations and recognition of the facility, are determined. The decisions of Decision Makers have been combined with the Geometric Mean Operator. According to the findings of the research, it is found out that the most important criteria of healthcare facility choice is “exigence in emergency situations” and the best alternative is “Medical Faculty Hospital” which is in the 3rd step as a healthcare facility.
      PubDate: Sat, 31 Dec 2022 00:00:00 +030
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762

Your IP address:
Home (Search)
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-