Mustafa Kaya

Objective: The aim of this study is to identify the main predictors associated with countries’ health status and to classify countries based on these variables using the decision tree method. Methods: This study employed a quantitative, cross-sectional research methodology based on secondary data to identify the main predictors associated with countries’ health status and to classify countries according to these variables using a decision tree approach. The study covered 224 countries for which World Bank data were available for 2022 or for a period of up to 5 years preceding 2022. The research data were obtained from the World Bank database in January 2025. Life expectancy at birth was used as the dependent variable, while the independent variables included alcohol and tobacco consumption, unemployment rate, Gini coefficient, rural population ratio, dependent population ratio, annual PM2.5 exposure level, number of hospital beds, number of physicians and nurses, and health expenditure. A decision tree model was developed using the Classification and Regression Trees (CART) algorithm to identify the key predictors of life expectancy and examine their relative importance in explaining differences in health status across countries. The analysis was conducted using the Orange Data Mining software package. Results: In the study, various key predictors of health status were identified, including health expenditures, the number of hospital beds, the availability of nurses, the dependency ratio, the unemployment rate, and the rural population ratio. A decision tree model was used. Using the CART algorithm, it was found that the model’s classification accuracy was 80.80%, while the precision rate for health status prediction was 81.38%. These findings highlight the key factors affecting health outcomes and demonstrate the model’s effectiveness in classifying countries based on these variables. Conclusion: The study revealed that per capita healthcare expenditure is the most important predictor of health status. Future research should also take additional variables into account. This will help to provide a more comprehensive understanding of the factors affecting health outcomes. Cite this article as: Kaya M. Analysis of risk factors affecting countries’ health status using the decision tree method. Arch Health Sci Res. 2026, 13, 0075, doi: 10.5152/ArcHealthSciRes.2026.26075.

Hemşirelerin bakım sürecine ilişkin karar verme yetkinlikleri ve uygulamalarındaki bağımsızlık düzeyleri sağlık hizmetlerinin kalitesi açısından büyük önem taşımaktadır. Çalışma tutkunluğu ise hem mesleki memnuniyet hem de klinik sonuçlar üzerinde etkili olabilmektedir. Bu çalışmanın amacı, hemşirelerin profesyonel otonomiye yönelik tutumları ile çalışma tutkunluk düzeyleri arasındaki ilişkiyi değerlendirmektir. Araştırmanın evrenini bir üniversite hastanesinde görev yapan 285 hemşire oluşturmaktadır. Veri toplama aracı; demografik bilgi formu, Profesyonel Otonomiye Yönelik Tutum Ölçeği ve Çalışmaya Tutkunluk Ölçeği olmak üzere üç bölümden oluşmaktadır. Veriler tanımlayıcı istatistikler, bağımsız örneklem t testi, tek yönlü ANOVA ve doğrusal regresyon analizi ile değerlendirilmiştir. Bulgular, profesyonel otonomi ve bazı bireysel özelliklerin çalışma tutkunluğu üzerinde anlamlı etkisi olduğunu göstermektedir. Hemşirelerin mesleki doyumunu ve bakım kalitesini artırmak için mesleki bağımsızlığı destekleyen politikalar ve uygun çalışma koşulları geliştirilmelidir.

Bu çalışmanın amacı, sağlık kurumlarının misyon ifadeleri oluşturulurken literatürde belirtilen öğelerden hangilerine yer verilip verilmediğini belirlemektir. Çalışmada Türkiye’deki faaliyet gösteren sağlık kurumlarından Joint Commission International (JCI) tarafından akredite edilen kurumlar ele alınmıştır. Araştırma nitel araştırma yöntemlerinden durum çalışması deseni ile yapılmıştır. Araştırmada elde edilen verilerin analizinde içerik analizi kullanılmış ve misyon ifadelerinin çözümlenmesi yapılmıştır. İkincil verilerin kullanıldığı çalışmada 42 sağlık kurumunun misyon ifadeleri internet sayfalarından elde edilmiş ve incelenmiştir. Analiz sonucunda, misyon ifadesinde bulunması gereken literatürde kabul görmüş dokuz öğenin tamamını kullanan kurum olmadığı, kurumların en sık kullandığı öğelerin müşteriler, ürün veya hizmetler, felsefe ve ayırt edici özelliktir. En az kullanılan öğelerin ise pazarlar, hayatta kalma, büyüme ve karlılık, çalışanlar için kaygı ve halktaki imaj kaygısı olduğu belirlenmiştir. Ayrıca kurumların kullandıkları misyon ifadelerinin benzer birkaç öğe etrafında yoğunlaştığı da gözlemlenmiştir. Elde edilen sonuçlar doğrultusunda Türkiye’de sağlık kurumlarının misyon ifadelerini belirlerken literatürdeki araştırmalardan yararlanmadığı ve konuya gereken önemi vermediği görülmüştür. Bu sonuçlar doğrultusunda çalışmanın son bölümünde kurumlara ve daha sonra çalışma yapacak olan araştırmacılara önerilerde bulunulmuştur.

As a result of the introduction of a new technological development into our lives every day, the use of energy consumption is increasing. Considering that most of the electricity still used is produced from fossil fuels, it is a fact that we should not forget that we need to save on energy consumption. Health institutions are institutions where intensive technology is used and uninterrupted service is provided. For this reason, it is one of the areas where energy-saving studies should be implemented as a priority. Conducting studies on this subject and implementing practices in line with the results of the study will provide energy savings. It is more important to carry out these studies in countries dependent on foreign energy. For this reason, in this study, it is aimed to make a systematic review of the studies conducted in Türkiye or at least one of the authors is Turkish and the studies on energy efficiency in hospitals. This study summarizes which studies have been conducted on this topic, the areas of focus, the methods used and the results of the studies. It is thought that this study will provide information to researchers working on the subject.

Amaç: Bu çalışmada Türkiye’de hizmet veren Ağız ve Diş Sağlığı Hastaneleri, Ağız ve Diş Sağlığı Merkezleri ve ağız ve diş sağlığı hizmeti sunan hastanelerin bazı değişkenler aracılığı ile Türkiye İstatistiki Bölge Birimleri Sınıflandırması Düzey 1 (İBBS- 1) bölgelerine göre performans sıralamasının belirlenmesi amaçlanmıştır. Yöntem: Çalışmada Sağlık Bakanlığı Kamu Hastaneleri Genel Müdürlüğü tarafından 2017 yılında yayımlanan Kamu Hastaneleri İstatistik Raporu’ndan elde edilen veriler kullanılmıştır. Bu kapsamda öncelikle Analitik Hiyerarşi Süreci yöntemi ile belirlenen kriterlerin ağırlıkları belirlenmiştir. Daha sonra ağırlıkları belirlenen kriterler Moora yöntemi ile analiz edilerek bölgelerin performans sıralaması elde edilmiştir. Bulgular: Yapılan analizlerin sonucunda İBBS-1 bölgelerinin ağız ve diş sağlığı hizmetleri performans sıralamasına göre ilk üç sırada Ege, Batı Anadolu ve Güneydoğu Anadolu bölgelerinin, son üç sırada ise Ortadoğu Anadolu, Doğu Karadeniz ve Batı Marmara bölgeleri yer aldığı bulunmuştur. Sonuç: Bölgeler arası ağız ve diş sağlığı hizmetlerin performansının İBBS 1’e göre farklılaştığı görülmüştür. Bu farklılıkların sağlık hizmetine erişim ve sağlık sonuçlarını etkileyebileceği, bu sebeple farklılıkları azaltacak çalışmaların toplum sağlığı açısından pozitif sonuçlar doğuracağı düşünülmektedir.

The healthcare industry is undergoing a profound transformation, driven by shifting consumer expectations, technological advancements, and evolving societal norms. Today's healthcare consumers are no longer passive recipients of care; they are informed, empowered, and demand greater transparency, convenience, and personalization in their healthcare experiences. This chapter explores the key drivers behind these changing expectations, including the rise of digital health technologies, the influence of consumerism, and the growing emphasis on patient-centered care. It also examines the implications of these shifts for healthcare providers, payers, and policymakers, offering insights into how the industry can adapt to meet the needs of a new generation of healthcare consumers. This chapter will provide a comprehensive analysis of the factors driving changes in healthcare consumer expectations and offer actionable insights for stakeholders navigating this shifting landscape.

Objective: Traditional and complementary medicine has started to gain more place in health services in recent years. The increase in its use makes it necessary to have information about its use. In this study, the relationship between health literacy and attitudes towards traditional and complementary medicine of prospective health undergraduates was examined. Material-Method: In this cross-sectional study, health literacy levels of prospective health undergraduates, their attitudes towards TCM and the relationship between them were examined. A questionnaire was administered to students who were selected by stratified sampling method from students studying in six different departments of Kırıkkale University Faculty of Health Sciences. The questionnaires were analyzed. Results: The study included 331 students. Most of the participating students were female (88.5%). The highest score on the health literacy scale was obtained by students from the Department of Social Work and the highest score on the TCM scale was obtained by nursing students. The students who participated in the study had a low level of education about TCM (5.7%), use of TCM products (19%) and a negative attitude towards TCM products (6.3%). There is a significant positive correlation between the scores obtained from the health literacy scale and the scores obtained from the attitude towards traditional and complementary medicine scale. However, this correlation is at a low level (r=.110, p

Energy poverty has emerged as a significant issue in recent years, leading to various negative consequences. One of these is its impact on health. It is widely accepted that there is a connection between energy poverty and health, which has resulted in a growing body of literature exploring this relationship. This study conducts a bibliometric analysis of this literature using comprehensive data from Web of Science, which includes many studies examining the link between energy poverty and health. It also investigates whether the countries conducting research on this issue are themselves energy-poor nations. The analysis outlines how the connection between energy poverty and health has garnered increasing attention over time, identifies leading authors and countries, highlights studies that have made significant contributions to the literature, and points out potential research gaps. The results reveal the network flows between countries, researchers, publications, organizations, keywords, and bibliographic connections in energy poverty and health studies. The findings confirm the growing interest in the energy poverty-health link but also show that the countries focusing on this issue are not energy-poor countries themselves.

The ecological footprint is an indicator of environmental impact and has become a significant research topic in recent years. It plays an important role in raising awareness about minimizing environmental problems by determining the extent of damage to the ecosystem. The ecological footprint is a valuable tool for researchers to assess the level of environmental damage and identify its causes, with the ultimate goal of promoting sustainability. This study aims to conduct a bibliometric analysis of scientific publications on the ecological footprint in the international arena. The study is descriptive and employs the scanning method. The researchers searched for studies published between 2010 and 2021 using the key concept of 'Ecological footprint' in the database. The bibliometric characteristics of 2748 publications scanned in the Web of Science database were determined. The research data were analyzed based on the number of publications per year and country, the most productive authors and journals, authors' h-indexes, most cited authors and journals, distributions by most cited references, and some relationships between these variables. The data reveal the interdisciplinary importance of the subject.

In this study, it was aimed to determine the satisfaction of inpatients from the nursing care services they receive and the factors affecting this satisfaction. The study was carried out with 276 inpatients in a public hospital. The data of the study were obtained with a questionnaire consisting of two parts, which included questions about the socio-demographic characteristics of the participants in the first part and the nursing care satisfaction scale in the second part. The Newcastle Nursing Care Satisfaction Scale, developed by Thomas et al. (1996) and validated in Turkish by Uzun (2003), was used to measure nursing care satisfaction. As a result of the research, the average score of the patients receiving service from the nursing care satisfaction scale was found to be 49.80; It was determined that there was a significant relationship between the age and the clinic where the service was received and the nursing care satisfaction score. Nursing care satisfaction, which is one of the factors affecting patient satisfaction, is also one of the main determinants of service satisfaction of patients. In this study, nursing care satisfaction was found to be below the average. For this reason, it is thought and recommended that considering the factors affecting nursing care satisfaction and making improvements to increase satisfaction may be effective in increasing satisfaction with the health institution.