In this research, it was aimed to evaluate the effect of emergency department history on health literacy level and the role of digital literacy. A total of 454 participants were subjected to survey including health literacy scale, the digital literacy scale, and the demographic information form. Participants were divided into 2 groups as emergency medicine service (EMS) history (n = 269) and no EMS history (n = 185) groups. Health literacy, attitude, cognitive, and total digital literacy level of EMS history group were significantly higher than no EMS history group ( P < .05). Social dimension of digital literacy scale was significantly higher in no EMS history group ( P < .05). In no EMS history group, health literacy was significantly correlated with attitude ( r = 0.298; P < .01), technical ( r = 0.157; P < .01), cognitive ( r = 0.369; P < .01), social ( r = −0.302; P < .01) dimensions, and total score of digital literacy ( r = 0.213; P < .01). In EMS history group, health literacy was significantly correlated with attitude ( r = 0.553; P < .01), technical ( r = 0.488; P < .01), cognitive ( r = 0.555; P < .01) dimensions, and total score of digital literacy ( r = 0.514; P < .01). Digital literacy had significant and positive effect on health literacy for all participants (OR = 0.126; P < .01), no EMS history (OR = 0.059; P < .01) and EMS history group (OR = 0.191; P < .01). People’s health literacy skills are positively impacted if they have ever received medical attention from EMS units, regardless of the reason. Furthermore, among those who have used emergency medical services in the past, the impact of digital literacy on health literacy is statistically substantially larger.

In this research, it was aimed to examine relationship between regional inequalities in the provision of emergency health services and other health services in Turkey. The values of the number of emergency services and the population per emergency service for the years 2002-2021 were taken from the most up-to-date database published by the Ministry of Health in 2022 and were chosen as the dependent variables of the study. The “regional price level indices for consumption expenditures (PLI)” and “gross domestic product per capita, Statistical Regions Level 2 (PcGDP)” data compiled by TURKSTAT were used as independent variables. Number of emergency stations were significantly correlated with TR31 (İzmir) (r = 0.903; P < .01), TR32 (Aydin, Denizli, Muğla) (r = 0.771; P < .01), TR42 (Kocaeli, Sakarya, Düzce, Bolu, Yalova) (r = −0.798; P < .01), TR62 (Adana, Mersin) (r = 0.837; P < .01), TR63 (Hatay, K.Maraş, Osmaniye) (r = −0.749; P < .01), TR72 (Kayseri, Sivas, Yozgat) (r = −0.719; P < .01), TR83 (Samsun, Tokat, Çorum, Amasya) (r = 0.873; P < .01), TRA2 (Ağri, Kars, Iğdir, Ardahan) (r = −0.873; P < .01), TRB2 (Van, Muş, Bitlis, Hakkari) (r = −0.736; P < .01), TRC2 (Şanliurfa, Diyarbakir) (r = 0.697; P < .01), and TRC3 (Mardin, Batman, Şirnak, Siirt) (r = 0.574; P < .01). In total, 11 of 26 were significantly correlated with inequalities. Although the number of emergency services has increased since 2002 and the population density per emergency room has tended to decrease, regional inequalities also have an impact on the delivery of emergency services today.

Objective: This study aims to investigate the relationship between the neutrophil-to-lymphocyte ratio (NLR) and the diagnosis of sepsis and in-hospital mortality in patients admitted to the emergency department. Methods: This was a retrospective observational study conducted at the Emergency Department of Esenyurt Necmi Kadıoğlu State Hospital. Data from adult patients who presented to the emergency department between January 1, 2023, and December 31, 2024, were analyzed. Patients with complete blood count (CBC) results and suspected or confirmed infection were included. NLR values were calculated and compared between patients with and without sepsis, as well as between survivors and non-survivors. Multivariate logistic regression and ROC curve analysis were used to assess the predictive value of NLR for sepsis and mortality. Results: A total of 500 patients were included. Of these, 28.8% had sepsis, and 13.8% died during hospitalization. The mean NLR was significantly higher in patients with sepsis (6.4 ± 3.2) than in those without (3.9 ± 2.1) (p < 0.001), and non-survivors (7.2 ± 3.5) compared to survivors (4.5 ± 2.4) (p < 0.001). NLR was found to be an independent predictor of both sepsis (OR: 1.85, 95% CI: 1.42–2.41) and mortality (OR: 2.12, 95% CI: 1.55–2.91). The optimal NLR cutoff was 5.1 for sepsis and 6.8 for mortality. The AUC for sepsis and mortality prediction was 0.78 and 0.81, respectively. Conclusion: NLR is a simple, fast, and cost-effective biomarker that can aid in the diagnosis of sepsis and the prediction of in-hospital mortality in emergency department patients. Its routine use in clinical practice could enhance early detection and risk stratification, particularly in resource-limited settings.

Background: Red code patients in the emergency department require urgent medicalcare because they present with life-threatening medical conditions. Optimal resource distribution together with better patient results depends on finding ICU admission predictors for critical patients who need immediate medica treatment. Aims: This research evaluated both clinical and biochemical factors along with demographic characteristics which determine ICU admission for red code patients at the Esenyurt Necmi Kadıoğlu State Hospital Emergency Medicine Department from 2023 to 2024. Methods: The research conducted a single-center retrospective observational study that used 5,000 red code patient data documented by the hospital information management system during January 2023 to December 2024. The research team evaluated patient demographics and vital signs and laboratory parameters and clinical outcomes from 5,000 patients who had an average age of 64.2 ± 18.5 years and consisted of 52% male patients. The study used univariate analysis together with multivariate logistic regression analysis to identify ICU admission predictors. The ROC curve analysis evaluated model predictive power by presenting AUC with confidence interval values. Results: The analysis included 4,880 patients who fulfilled the study criteria from the total 5,000 screened patients. ICU admission occurred in 30.1% of the total patients. The univariate analysis showed that CRP and WBC and lactate measurements and low blood pressure (systolic BP <90 mmHg) were factors associated with ICU admission. The multivariate analysis confirmed CRP (OR: 1.0007 per mg/L increase, 95% CI: 1.00001–1.0014, p = 0.043), WBC (OR: 1.017 per unit increase, 95% CI: 1.003–1.032, p = 0.014) and hypotension (OR: 2.48, 95% CI: 1.96–3.13, p < 0.001) as independent risk factors. The model demonstrated an AUC of 0.74 (95% CI: 0.71–0.77) which indicates moderate predictive accuracy.Research findings showed that both CRP and lactate demonstrated increased strength in predicting ICU admission when testing patients with septic conditions. Conclusion: The combination of elevated CRP levels with WBC count and high lactate values and hypotension functions as predictive indicators for ICU admission in patients who receive a red code. The available parameters serve as useful risk assessment tools during the first stages of patient care. The implementation of these parameters through triage protocols will improve both emergency clinical decisions and ICU resource management.

Aims: The aim of this study is to compare the impact of the emergency severity index (ESI) and the Manchester triage system (MTS) on clinical outcomes, patients' satisfaction, and risk management using a prospective approach. Methods: In this study, which includes 12,000 patients who visited the emergency department of Esenyurt Necmi Kadıoğlu State Hospital between September 1, 2024, 2024, and October 15, 2024, 6,000 patients were triaged using the ESI, and 6,000 patients were triaged using the MTS. The study was conducted by randomly selecting patients between the ages of 18-85 who were visiting the emergency department for the first time. Data were collected using the observations of healthcare personnel, electronic health system data, and patient admission records. The primary variables include treatment times, clinical outcomes, resource utilization in the emergency department, and patient waiting times. Surveys were used to measure patients' satisfaction, and medical inaccuracies were evaluated based on error reports and inconsistencies in medical records. Statistical analyses were performed using SPSS software, applying independent sample t-tests, chi-square tests, and logistic regression analyses. Results: It was found that patients triaged using the ESI had significantly lower waiting times compared to those triaged using the MTS (OR: 0.65, 95% CI: 0.50-0.85, p

This study aimed to investigate the impact of the COVID-19 pandemic on the management and outcomes of adult cardiac arrest patients by assessing the incidence, patient outcomes, and influence of comorbidities during the pandemic. This retrospective cross-sectional study analyzed the clinical data of 500 patients who experienced cardiac arrest in the Emergency Department of Esenyurt Necmi Kadioğlu State Hospital between September 1, 2018, and August 31, 2024. Patient data were obtained from the hospital’s electronic records and included variables such as age, sex, arrest location, etiology, initial rhythm, intervention time, and outcomes. Data analysis was performed using SPSS version 26. Chi-square tests were used for categorical variables, while independent sample t tests and Mann–Whitney U tests were used for continuous data. The incidence of cardiac arrest increased during the pandemic. COVID-19-positive patients had a lower return of spontaneous circulation (ROSC) rates (30%) compared with negative patients (50%) and suspected cases (40%). Mortality was higher in COVID-19-positive patients (70%) and their discharge rates were lower (20%). Ventricular fibrillation as the initial rhythm was associated with better ROSC rates. Comorbidities such as chronic obstructive pulmonary disease, cancer, and heart failure were associated with lower ROSC rates and higher mortality rates. In conclusion, the COVID-19 pandemic has increased the number of cardiac arrest cases and worsened patient outcomes. Comorbidities significantly affected the prognosis. Future preparedness should focus on reducing intervention time, optimizing resource management, and implementing targeted care plans for high-risk patient groups.