Mustafa Nal

Araştırmanın Amacı ve Önemi: Sağlık hizmetlerinde dijitalleşme ve yapay zeka teknolojilerindeki gelişmeler, sağlık bilişiminin önemini giderek artırmaktadır. Bu araştırmanın amacı, sağlık bilişimi alanındaki bilimsel literatürü bibliyometrik yöntemle inceleyerek araştırma eğilimlerini ve alanın bilgi yapısını ortaya koymaktır. Gereç ve Yöntem: Araştırmada bibliyometrik analiz yöntemi kullanılmıştır. Web of Science veri tabanında başlık veya anahtar kelimelerinde “health informatics” veya “medical informatics” ifadeleri yer alan ve 1 Ağustos 2025 tarihine kadar yayımlanan 8.480 eser WOSviewer 1.6.18 programı kullanılarak kümeleme, yoğunluk ve ağ haritalama analizleri ile incelenmiştir. Bulgular: Sağlık bilişimi alanındaki ilk yayının 1980 yılında gerçekleştirildiği, yayın sayısının yıllar içinde düzenli olarak artarak 2022 yılında en yüksek düzeye ulaştığı belirlenmiştir. Yayınların büyük bölümünü araştırma makaleleri oluştururken, en fazla yayın sağlık bilişimi, sağlık hizmetleri bilimi ve bilgisayar bilimi alanlarında gerçekleştirilmiştir. En sık kullanılan anahtar kelimeler “medical informatics, health informatics, electronic health records ve machine learning” olup, son yıllarda dijital sağlık, yapay zeka ve derin öğrenme konularının öne çıktığı görülmüştür. En fazla atıf alan çalışmaların araştırma veri yönetimi ve raporlama standartlarına odaklandığı, bilimsel üretimin ise ağırlıklı olarak ABD öncülüğünde yürütüldüğü belirlenmiştir. Sonuç: Sonuçlar, sağlık bilişimi alanının hızla büyüyen ve disiplinler arası bir araştırma alanı olduğunu göstermektedir. Son yıllarda yapay zeka ve dijital sağlık uygulamalarının araştırmalarda giderek daha fazla öne çıktığı, bilimsel üretimin ise büyük ölçüde araştırma altyapısı ve finansman desteği fazla olan ülkelerde yoğunlaştığı belirlenmiştir. Bu çalışma, sağlık bilişimi alanındaki araştırma eğilimlerini ortaya koyarak gelecekte yürütülecek araştırmalar için yol gösterici bilgiler sunmaktadır. Anahtar Kelimeler: Sağlık bilişimi, tıbbi bilişim, bibliyometrik analiz, Web of Science, WOSviewer. JEL Kodları: I10, I18, O33. *Bu çalışma, 9-11 Ekim 2025 tarihlerinde İstanbul’da gerçekleştirilen, 8. Uluslararası 18. Ulusal Sağlık ve Hastane İdaresi Kongresi’nde sözlü bildiri olara

Background: Physicians work under demanding conditions that may affect their psychological functioning and evaluations of life. Positive psychological resources, particularly dispositional hope, may be relevant to the association between psychological well-being and contentment with life. This study examined these constructs and their indirect association through dispositional hope among physicians working in public hospitals in Türkiye’s Black Sea region. Methods: A cross-sectional online survey was conducted between July and December 2024 with a convenience sample of 918 physicians. Validated Turkish versions of the Psychological Well-Being Scale, Dispositional Hope Scale, and Contentment with Life Assessment Scale were administered. An unadjusted indirect-association analysis was performed using PROCESS Model 4 with reliability-adjusted errors-in-variables estimation and 5000 bootstrap samples. Results: The mean scores were 37.30 ± 7.46 for psychological well-being, 45.00 ± 7.65 for dispositional hope, and 19.90 ± 5.14 for contentment with life. Psychological well-being was positively correlated with dispositional hope (r = 0.582) and contentment with life (r = 0.645), while dispositional hope was positively correlated with contentment with life (r = 0.465; all p < 0.001). Psychological well-being was positively associated with dispositional hope (β = 0.60, B = 0.62, SE = 0.08, 95% CI [0.45, 0.78], p < 0.001; R² = 0.360). In the outcome model, psychological well-being (β = 0.46, B = 0.38, SE = 0.05, 95% CI [0.28, 0.47], p < 0.001) and dispositional hope (β = 0.34, B = 0.28, SE = 0.08, 95% CI [0.12, 0.44], p < 0.001) were positively associated with contentment with life. Together, psychological well-being and dispositional hope explained 45.5% of the variance in contentment with life (R² = 0.455). The total association was statistically significant (B = 0.56, SE = 0.04, 95% CI [0.48, 0.63], p < 0.001), as was the indirect association through dispositional hope (β = 0.21, B = 0.18, BootSE = 0.02, 95% bootstrap CI [0.14, 0.23]). Conclusions: Psychological well-being, dispositional hope, and contentment with life were positively associated. Hope showed a significant indirect association, but the cross-sectional, unadjusted model does not support causal inference. Longitudinal multicenter studies are needed.

An aging population, along with rising chronic diseases and disabilities, is increasing the demand for healthcare services; this places significant pressure on healthcare costs and public finances, particularly in countries with high public health expenditures. Asia-Pacific countries are at the forefront of global population aging, and the rapid demographic transformation in the region has significant economic, social, and political consequences. This study aims to evaluate the impact of selected aging indicators on health financing systems in Asia-Pacific Economic Cooperation (APEC) countries. In this study, the proportion of the population aged 60-80 and over, life expectancy at birth, and gender ratio were used as indicators of aging. To examine the effects on health financing in APEC countries during the 2000-2020 period, three separate models were established, including public health expenditures, private health expenditures, and out-of-pocket health expenditures; the analyses were carried out using panel quantile, Driscoll-Kraay, and Ridge methods. The findings show that life expectancy reduces public health expenditures except in the 90th quartile, while increasing private health expenditures in all quartiles. Although no significant relationship was found for out-of-pocket health expenditures, life expectancy stands out as the most prominent predictor. The Driscoll-Kraay and Ridge results reveal that the population aged 80 and over increases public health expenditures; this is associated with higher life expectancy and lower private health expenditures. Furthermore, the population aged 60 and over reduces out-of-pocket health expenditures, while the gender ratio was not found to be significant in all models. Life expectancy is the strongest predictor of out-of-pocket health expenditures. In contrast, the contribution of the population aged 80 and over to the decline in private health expenditures is limited. Gender ratio does not show a significant impact on health expenditures in APEC countries. These findings highlight the importance of developing age-sensitive and sustainable health financing policies in APEC countries.

Background: This study fills a gap in the literature by examining how perceptions of health news are associated with interpersonal trust in physicians and institutional distrust in the healthcare systems, particularly in the Türkiye context. While previous studies have examined trust in physicians and distrust in healthcare systems separately using different independent variables, evidence remains limited on the simultaneous association between health news perception and both trust in physicians and distrust in the healthcare system, particularly in the Türkiye context and using validated measurement tools. Therefore, the main objective of this study is to examine the association between health news perception, trust in physicians, and distrust in the healthcare system. Methods: The population of this cross-sectional study consisted of individuals aged 18–60 residing in the central district of Kutahya. The study data were collected face-to-face using a two-part questionnaire. A total of 719 completed questionnaires were analyzed. Results: 58% of the participants in the study were aged 41 and above. Commercial concerns and advertising, consumption promotion, behavioral change, health behavior exploitation, and trust in health news were positively associated with distrust in the healthcare system (β = 0.119, β = 0.196, β = 0.054, β = 0.061, β = 0.046; p < 0.01, p < 0.05). The model explained 22.4% of the variance (R² = 0.224). Commercial concerns and advertising, consumption promotion, behavioral change, health behavior exploitation, and trust in health news were negatively associated with trust in physicians (β = −0.221, β = −0.014, β = −0.014, β = −0.127, β = −0.211; p < 0.05, p < 0.01). The model explained 25.3% of the variance (R² = 0.253). Conclusions: The study found that health news perception was associated with trust in physicians and distrust in the healthcare system. Therefore, understanding the associations between health news perception, trust in physicians, and distrust in the healthcare system is important for improving individual and public health. For this reason, it is of great importance to raise the level of health and digital health literacy in society through policies developed under the leadership of public health experts.

Recent rapid developments in artificial intelligence (AI) technologies are leading to significant changes in social and economic structures. These changes are having a direct impact on young people’s transition to the labour market and their expectations regarding employment. Against this backdrop, the relationship between university students’ concerns about AI and their anxieties about job searching is emerging as a multidisciplinary field of research. This study aims to evaluate the impact of AI-related anxiety on university students’ anxieties about finding employment. This cross-sectional study involved 821 health sciences students from various departments at Turkish universities, including Physical Therapy and Rehabilitation, Pharmacy Services, Medical Secretarial and Documentation, Nursing, Speech and Language Therapy, Midwifery and Health Management. Participants were selected via an online survey distributed by class representatives on WhatsApp. Data were collected using the Artificial Intelligence Anxiety Scale and the Job Search Anxiety Scale, and analysed using Pearson’s correlation and multiple linear regression in the SPSS (v26.0) programme. Of these participants, 82.5% are female, and 59.6% are undergraduates. Studies in Turkey have shown that the proportion of female university students is higher than that of male students. This may partly explain the higher proportion of female participants in the sample. The mean scores on the artificial intelligence anxiety scale and the job search anxiety scale were 3.02 ± 0.80 and 3.16 ± 0.60, respectively. The study revealed a moderate, positive, and significant correlation (r = 0.233, p < 0.001) between artificial intelligence anxiety and job search anxiety. The study revealed that, even when socio-demographic variables were controlled, artificial intelligence anxiety remained a significant predictor of job search anxiety (β = 0.234, p < 0.001). Additionally, it was found that demographic variables such as income status (p = 0.011, β = − 0.088) and educational attainment (p = 0.001, β = 0.208) significantly affected job search anxiety. The findings show that concerns about artificial intelligence are closely linked to students’ expectations regarding employment after graduation. It has therefore been concluded that artificial intelligence anxiety is not merely an attitude toward technology but an important psychological factor shaping students’ perceptions of their professional futures and fears of unemployment. The research results suggest that enhancing educational programmes and career counselling services to boost artificial intelligence literacy at the university level could play a significant role in alleviating students’ anxiety about job hunting.

In many countries, shortages in the number of nurses and unfavorable working conditions have become a significant problem, leading to an increase in nurses’ intention to leave their jobs. This study aims to determine the effect of nurses’ humanistic care ability on their turnover intention and the possible mediating role of care behaviors in this relationship. This study employed a quantitative research approach with a descriptive, cross-sectional design. The study was carried out among nurses from multiple hospitals across Turkey to ensure sample diversity and enhance the generalizability of the findings. The study included a total of 456 nurses. Data analysis was performed using IBM SPSS Statistics 25.0 and the PROCESS 4.1 macro. Results showed that humanistic care ability had a significant negative direct effect on turnover intention (β = -0.0076, p = .039), while caring behaviors also negatively and significantly influenced turnover intention (β = -0.0076, p < .001). Furthermore, the indirect effect analysis indicated a significant mediating role of caring behaviors in the relationship between humanistic care ability and turnover intention (β = -0.0083, 95% CI [-0.0124, -0.0046]). The findings indicate that nurses’ care behaviors are effective in reducing turnover intentions and that a humanistic approach plays a mediating role in the relationship between turnover intentions. Incorporating humanistic care models into nursing education and assessing students’ humanistic levels may increase job satisfaction, thereby supporting retention in the profession and enhancing the quality of care. Not applicable.

This study aims to determine nurses’ perceptions of occupational stress, digital fatigue, psychological safety, and job performance, and to examine t

Patient satisfaction is a fundamental indicator of healthcare quality. However, while structural factors affecting satisfaction have been extensively studied in the literature, perceptions of the service process and the communication dimension have been relatively neglected. It offers concrete suggestions for developing strategies to increase trust in the health system, improve patient satisfaction, and achieve sustainable quality in health services. This study aims to examine the relationship between trust in the healthcare system and the level of patient satisfaction. This study used a descriptive cross-sectional design. Data were collected in Türkiye between March and August 2023 through an online survey using the snowball sampling method, involving 1010 individuals utilizing family medicine services. Validated instruments included: (1) a Descriptive Characteristics Form covering gender, education, and employment; (2) the Trust in the Health Care System Scale; and (3) a Patient Satisfaction Scale. Trust correlated strongly with satisfaction (r = 0.715, p < 0.001). Regression analysis showed trust sub-dimensions significantly predicted satisfaction (R²=0.512), with marital and employment status also influencing outcomes (p < 0.05). Trust in the healthcare system strongly predicted patient satisfaction (p < 0.001) and explained significant variance (Nagelkerke R²=0.512). This study found that patient satisfaction is significantly influenced by individual characteristics, service quality, and trust in the healthcare system. These findings suggest that policies to enhance patient satisfaction should adopt comprehensive strategies that reinforce public trust in all aspects of the healthcare system. Policies should not only focus on service delivery to enhance patient satisfaction, but also adopt comprehensive strategies that strengthen trust in the healthcare system. Policies aimed at increasing trust should incorporate multidimensional strategies, including transparency, accountability, effective communication, and the sustainability of service quality. These approaches will not only improve current satisfaction levels but also strengthen long-term social commitment to the healthcare system.

More than 50% of drugs used by people worldwide are used inappropriately. This rate increases even more in older adults due to reasons such as memory loss, forgetfulness, and polypharmacy. The population of older adults is increasing worldwide, and therefore, rational drug use in older individuals is becoming even more important. This study aims to determine the effects of demographic characteristics and trust in the health care system on the rational use of medicines among older adults. A cross-sectional study design was employed, and data were collected from older adult participants using structured questionnaires. Data were collected using a convenience sampling method from 443 elderly individuals who presented to public hospitals and private pharmacies in Türkiye. Multiple regression analyses were conducted to evaluate the predictive power of these variables on the rational use of medicines. Trust in the health care system was found to be a significant positive predictor of rational use of medicines (R² = 0.167, p < 0.001). Findings suggest the need for targeted interventions that take into account sociodemographic and psychological factors to support the safe use of medications in aging societies. Increasing trust in the health care system also strengthens individuals’ trust in rational drug use. This result shows that increasing trust in the health care system is important in encouraging conscious drug use in society.

This study investigates the benefits of adopting lean management in the healthcare sector, focusing on its impact on hospital management, employees, and patients. By advocating for the widespread implementation of lean management practices, this research aims to contribute to the healthcare management literature, emphasizing its role in enhancing communication and operational efficiency. The study was conducted in a public hospital in Turkey, with data collected between July 16, 2022, and January 31, 2023. A Value Stream Mapping (VSM) approach was employed to analyze the existing workflow and develop a “current state” map. Subsequently, lean transformation principles were applied to design a “future state” map, providing insights into potential process improvements. The findings culminate in a set of recommendations aimed at optimizing operational efficiency and strengthening communication within healthcare settings.