Ismail Toygar

This study evaluated and compared the diagnostic accuracy of the Braden and Cubbin/Jackson Pressure Injury Risk Scales for predicting pressure injury development in adult ICU patients. In this prospective cohort study, 153 patients admitted to an adult ICU between September and November 2025 were assessed within 24 h using both scales and followed during their ICU stay. Diagnostic accuracy indices were calculated across cut‐off points and optimal cut‐offs were selected using the Youden J index. ROC curves were compared using the DeLong test. Precision–recall analysis and adjusted logistic regression analyses were also performed. Pressure injury developed in 37 patients (24.2%). The optimal Braden cut‐off was ≤ 12, with sensitivity 43.2%, specificity 67.2%, PPV 29.6%, NPV 78.8%, LR+ 1.32, LR− 0.84 and Youden J 0.105. The optimal Cubbin/Jackson cut‐off was ≤ 35, with sensitivity 73.0%, specificity 50.9%, PPV 32.1%, NPV 85.5%, LR+ 1.49, LR− 0.53 and Youden J 0.238. AUCs were 0.546 (95% CI: 0.439–0.653) and 0.605 (95% CI: 0.503–0.707), respectively; the difference was not statistically significant ( p = 0.187). Precision‐recall analysis showed limited predictive performance and adjusted logistic regression analyses indicated that neither cut‐off was a statistically significant independent predictor of pressure injury development ( p > 0.05). Both scales showed limited discriminatory accuracy. Cubbin/Jackson performed numerically better, but not significantly so; therefore, both scales should support, rather than replace, comprehensive clinical judgement in intensive care nursing.

Pressure injury represents a significant but preventable health problem, especially in clinical settings characterised by a high degree of risk. Despite the critical role played by nurses in pressure injury prevention, evidence suggests that inconsistencies remain concerning their knowledge and skill levels. This study aimed to determine the level of knowledge amongst nurses regarding pressure injury prevention and the factors associated with this level. The sample of this cross‐sectional study consisted of 346 nurses reached through convenience sampling. The research data were collected online using the nurse descriptive form and the Pieper–Zulkowski Pressure Injury Knowledge Test, accessed through a Google Forms link shared on various social media platforms between December 2023 and February 2025. Most of the 346 nurses who participated in the study were female (89.0%), and the mean age was 36.19 years (±8.52 years). Most participants had a bachelor's degree (76.8%), and 35.6% had more than 20 years of professional experience. The pressure injury knowledge test score of the nurses was 43.00 (10.50). There was a significant difference in knowledge scores between clinical units ( p = 0.009); the highest scores were found in nurses working in high‐risk units (e.g., operating theatre) ( p = 0.029). The study demonstrated that the implementation of unit‐specific, practise‐based training programmes is imperative to enhance nurses' knowledge. It is suggested that future studies utilise a combination of methods in order to address the individual, environmental and organisational factors that have a bearing on knowledge levels.

Objective: The Glucose Monitoring Satisfaction Survey (GMSS) is crucial for assessing diabetes management, but its psychometric properties in Turkish patients remain unexplored. This study aimed to evaluate the validity and reliability of the Turkish version of the GMSS. Material and Method: This methodological, descriptive, and correlational study was conducted with 220 patients with type 1 diabetes between October 2023 and February 2024. Data were collected online using a sociodemographic questionnaire, the GMSS, and the WHO-5 Well-Being Index. Statistical analyses were performed with IBM SPSS v27 and IBM SPSS Amos v24. Reliability was evaluated with Cronbach’s alpha coefficients for the overall scale and each subscale, Spearman-Brown Split-Half analysis, item–total correlations, and “Cronbach’s alpha if item deleted.” Validity was examined through language validity, expert-based content validity, and construct validity using Confirmatory Factor Analysis (CFA). Assumptions for CFA were checked, and the maximum likelihood method was applied. Parallel form reliability was also assessed with WHO-5. Results: Item-level content validity indexes ranged between 0.80 and 1.00, while the scale-level index was 0.960. Cronbach’s alpha was 0.897 for the overall scale and ranged between 0.85 and 0.90 across the four subscales. Item–total correlations varied from 0.347 to 0.719, and “alpha if item deleted” values remained above 0.85. The Spearman-Brown Split-Half coefficient was 0.885. CFA supported the four-factor model with acceptable fit indices. Parallel form reliability showed significant positive correlations between the GMSS and WHO-5 (p

To determine predictors of self-efficacy in breast cancer survivors and identify vulnerable groups. This descriptive study was conducted between November 2023 and April 2024 at three hospitals in Türkiye and involved 430 breast cancer survivors. Data were collected through face-to-face surveys using a patient identification form and the Breast Cancer Survivor Self-Efficacy Scale. This study identified patient characteristics that indicate a tendency towards higher self-efficacy using four machine learning models; Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), XGBoost (XGB). The mean age of participants was 50.7 ± 11.5 years. Majority of the participants (n = 425) were female. AUC values were used as ranker for the machine learning models. The ranks of the models were as follows; logistic regression model (0.715), RF (0.710), SVM (0.704), and XGBoost (0.694). Education level ranked first in the LR (0.3874), RF (0.3290), and SVM (0.1250) models, and was the second most important variable in the XGB (0.2327) model. Conversely, the cancer stage stood out in the LR (0.2466) and RF (0.1935) models, ranking third and fourth, respectively, while it ranked third in SVM (0.0683) and fourth in XGB (0.1872). Additionally, comorbidity ranked third in importance in the LR (0.2213) and RF (0.1681) models, but second in SVM (0.0705) and seventh in XGB (0.1393). The study demonstrated that the self-efficacy of breast cancer survivors was associated with their sociodemographic and medical characteristics. These characteristics may assist healthcare professionals in enhancing the care provided to breast cancer survivors. It is of the utmost importance to consider the aforementioned patient group as being vulnerable with regard to breast cancer survivor self-efficacy. There is a clear need for a focus on this vulnerable cohort.

Objective While traumatic experience of a loved one’s death and having a chronic disease are both risk factors for prolonged grief disorder, there are no published studies on bereavement among earthquake survivors with advanced chronic disease. The objective of this study is to explore the bereavement experiences and prevalence of prolonged grief disorder (PGD) among 2023 Türkiye earthquake survivors with advanced chronic diseases. Design/setting A mixed methods design of cross-sectional survey using the Prolonged Grief Scale (PG-13) and semi-structured interviews was used to provide a detailed understanding of the grief phenomenon in the context of bereaved adults with advanced chronic disease after the earthquake in Türkiye. Participants 143 participants completed the survey, and interviews were conducted with 12 bereaved survivors with advanced chronic disease. Results Our results indicated a prevalence of PGD among bereaved adults of 23.8%. The traumatic death of first-degree relatives was associated with a higher PGD prevalence (pConclusions We recommend a person-centred bereavement care that prioritises early identification and reduction of prolonged grief risk factors. We propose a framework for bereaved survivors to use in the development of an effective bereavement service model. This model may be used by mental health professionals and policymakers to respond sensitively to the values, needs and preferences of bereaved survivors who have experienced the unnatural death of a loved one.

Purpose Climate disasters and climate change have implications for healthcare globally. As the number and intensity of climate disasters increase, it is important to understand the effects on healthcare. We conducted a global survey of oncology healthcare providers to identify awareness, experiences, and educational needs related to climate change. Methods An existing climate and health survey was adapted to oncology. This IRB- approved, 30-item survey measured demographics, climate disaster awareness, effects on cancer care and educational needs. Healthcare professionals employed in oncology settings (practice, research, or academic) were eligible. The survey was disseminated via social media and professional organizations. Descriptive statistics were computed using SPSS. Results 154 responses from 26 countries were received from nurses (56%), physicians (19%), and other healthcare professionals (25%). Common climate change-related events impacting oncology care were extreme heat (63.8%) and heavy rains (52.2%). Respondents reported their workplace has a disaster plan for climate-related weather events (50.4%) or has taken steps to prepare for a climate-related weather event (48.5%). Respondents were aware that the planet has warmed significantly (98.7%), that healthcare contributes to greenhouse gas emissions (98.6%) and reported wanting to learn more about how climate change affects cancer care (88.3%). Preferred educational modalities include webinars (69%), e-learning (55%), journal articles (48.3%), conferences (46.3%) and podcasts (38.9%). Conclusions This global survey is the first to identify the awareness, experiences, and educational needs of oncology healthcare professionals related to climate change and climate disasters. Healthcare providers are positioned to take leadership roles related to climate and health.

Foot care self-management is underutilized in older adults and diabetic foot ulcers are more common in older adults. It is important to identify predictors of foot care self-management in older adults with diabetes in order to identify and support vulnerable groups. This study aimed to identify predictors of foot care self-management in older adults with diabetes using a machine learning approach. This cross-sectional study was conducted between November 2023 and February 2024. The data were collected in the endocrinology and metabolic diseases departments of three hospitals in Turkey. Patient identification form and the Foot Care Scale for Older Diabetics (FCS-OD) were used for data collection. Gradient boosting algorithms were used to predict the variable importance. Three machine learning algorithms were used in the study: XGBoost, LightGBM and Random Forest. The algorithms were used to predict patients with a score below or above the mean FCS-OD score. XGBoost had the best performance (AUC: 0.7469). The common predictors of the models were age (0.0534), gender (0.0038), perceived health status (0.0218), and treatment regimen (0.0027). The XGBoost model, which had the highest AUC value, also identified income level (0.0055) and A1c (0.0020) as predictors of the FCS-OD score. The study identified age, gender, perceived health status, treatment regimen, income level and A1c as predictors of foot care self-management in older adults with diabetes. Attention should be given to improving foot care self-management among this vulnerable group.

Falls in multiple sclerosis can result in numerous problems, including injuries and functional loss. Therefore, determining the factors contributing to falls in people with Multiple Sclerosis (PwMS) is crucial. This study aims to investigate the contributing factors to falls in multiple sclerosis using a machine learning approach. This cross-sectional study was conducted with 253 PwMS admitted to the outpatient clinic of a university hospital between February and August 2023. A sociodemographic data collection form, Fall Efficacy Scale (FES-I), Berg Balance Scale (BBS), Fatigue Severity Scale (FSS), Expanded Disability Status Scale (EDSS), Multiple Sclerosis Impact Scale (MSIS-29), and Timed 25 Foot Walk Test (T25-FW) were used for data collection. Gradient-boosting algorithms were employed to predict the important variables for falls in PwMS. The XGBoost algorithm emerged as the best performed model in this study. Most of the participants (70.0%) were female, with a mean age of 40.44 ± 10.88 years. Among the participants, 40.7% reported a fall history in the last year. The area under the curve value of the model was 0.713. Risk factors of falls in PwMS included MSIS-29 (0.424), EDSS (0.406), marital status (0.297), education level (0.240), disease duration (0.185), age (0.130), family type (0.119), smoking (0.031), income level (0.031), and regular exercise habit (0.026). In this study, smoking and regular exercise were the modifiable factors contributing to falls in PwMS. We recommend that clinicians facilitate the modification of these factors in PwMS. Age and disease duration were non-modifiable factors. These should be considered as risk increasing factors and used to identify PwMS at risk. Interventions aimed at reducing MSIS-29 and EDSS scores will help to prevent falls in PwMS. Education of individuals to increase knowledge and awareness is recommended. Financial support policies for those with low income will help to reduce the risk of falls.

Bakım Ortamı Fatma ETİ ASLAN Melike ÇAKIR Hemodinamik Parametreler ve İzlem – Mortalite ve Morbidite Ölçekleri - Yoğun Bakım Skorlama Sistemleri Halim ULUGÖL Fevzi TORAMAN Sıvı – Elektrolit Asit – Baz Dengesi Bozuklukları Özgen ILGAZ KOÇYİĞİT Yoğun Bakımda Malnutrisyon Yönetimi İlayda ÖZTÜRK ALTUNCEVAHİR Yoğun Bakımda Enfeksiyonun Önlenmesi Ferda AKYÜZ ÖZDEMİR İsmail TOYGAR Yoğun Bakım Rutinine Akılda Kalıcı Bir Yaklaşımla Yeniden Bakmak: Fast Hug Fadime ÇINAR Mehmet Aziz ÇAKMAK Yoğun Bakımda Etik Sorunlar Nadiye ÖZER Mozaiğe Seramik ve Camın Katılımı: Adıyaman Mozaikleri Üzerine Bir İnceleme Yaprak TANRIVERDİ Basınçlı Döküm Sistemi Yunis YILMAZER Yüksek Dereceli Odun Yakıtlı Fırınlarda Kül Sırının Dönüştürücü Etkisi ve Fırınlama Aşamaları Bahadır Cem ERDEM Yoğun Bakımda Şefkatli Dokunuş: Mizah ve Gülümseme Saliha KOÇ ASLAN Yoğun Bakımda Ekstrakorporeal Membran Oksijenasyonu Uygulaması ve Yönetimi Göknur PARLAK Fatma ETİ ASLAN Zor Hasta Yönetimi Ayla YAVA Aynur KOYUNCU Yoğun Bakımda Kardiyopulmoner Arrest ve İleri Yaşam Desteği Uygulamaları Göknur PARLAK Ali AKGÜN Fatma ETİ ASLAN Abdominal Distansiyon Sebahat ATEŞ Ağrı Yönetimi Sevim ÇELİK Sibel ALTINTAŞ Yoğun Bakımda Aritmi Tanı ve Yönetimi Zeynep KAPLAN AFACAN Fatma ETİ ASLAN Basınç Yaralanması Pakize ÖZYÜREK Meryem YAVUZ VAN GİERSBERGEN Çocuk Yoğun Bakım Ünitesinde Basınç Yaraları Alev SİVASLI Zerrin ÇİĞDEM Bulantı ve Kusma Dilek AYGİN Deliryum Fatma DEMİR KORKMAZ Fatma ETİ ASLAN Dispne Feride TAŞKIN YILMAZ Epileptik Nöbet Serap GÖKÇE ESKİN Sakine BOYRAZ ÖZKAVAK Hıçkırık Serap GÖKÇE ESKİN Sakine BOYRAZ ÖZKAVAK Hipertermi – Hipotermi Nurdan GEZER Halise ÇİNAR Hipoksi Özlem BİLİK Hipotansiyon - Hipertansiyon Sultan ÖZKAN Ezgi ARSLAN Hipoglisemi-Hiperglisemi Nermin OLGUN Selda GEDİK ÇELİK Kafa İçi Basıncı Artışı Nurhan BAYRAKTAR Dilek ÇİLİNGİR Konstipasyon - Diyare Besey ÖREN Nötropeni Gülbeyaz CAN Yoğun Bakım Ünitesinde Obezite Azime KARAKOÇ KUMSAR Oligüri – Anüri Neriman ZENGİN Oral Mukozitler Ayfer BAYINDIR ÇEVİK Ödem - Dehidratasyon Havva SERT Öksürük ve Balgam Çıkarma Ayşe ÇİL AKINCI Uykusuzluk Hayat YALIN Venöz Tromboembolizm Fatma DEMİR KORKMAZ Yorgunluk Zeynep ERDOĞAN Yutma Güçlüğü Hicran YILDIZ Yoğun Bakımda Sık Görülen Kas İskelet Sistemi Sorunları Hamdiye Banu KATRAN Yoğun Bakımda Solunum Problemlerinin Yönetimi Sena TEBER Yoğun Bakımda Hasta Yakınlarında Görülen Ruhsal Sorunlar Selda POLAT Sol Ventrikül Destek Cihazı Takılan Hastanın Fonksiyonel Sağlık Örüntüleri Modeline Göre Hemşirelik Yaklaşımı: Vaka İncelemesi Gamze ATAMAN YILDIZ Fatma ETİ ASLAN Kalp Kapak Cerrahisi Sonrası Myra Estrin Levine’in Koruma Kuramına Göre Hemşirelik Bakımı: Vaka İncelemesi Havvane KULAKSIZOĞLU Fatma ETİ ASLAN Fontan Dolaşıma Sahip Diyafragma Hernisi Tanılı Hastanın Faye Glenn Abdellah’ın 21 Hemşirelik Problemi Kuramına Göre Bakımı: Vaka İncelemesi Melis Merve ÇETİNKAYA Fatma ETİ ASLAN Robotik Mitral Kapak Replasmanı Sonrası Yoğun Bakımda Takip Edilen Hastanın King’in Amaca Ulaşma Kuramına Göre İncelenmesi: Vaka İncelemesi Özlem KIVANÇ Fatma ETİ ASLAN