Florence Nightingale journal of nursing最新文献

{"title":"Factors Associated with Quality of Life in Older Adults with Multimorbidity: A Cross-sectional Study.","authors":"Youna Jang, Ok-Hee Cho","doi":"10.5152/FNJN.2026.26156","DOIUrl":"https://doi.org/10.5152/FNJN.2026.26156","url":null,"abstract":"<p><strong>Aim: </strong>To investigate the factors predicting physical and mental health-related quality of life (HRQoL) in older adults with multimorbidity.</p><p><strong>Methods: </strong>This was a cross-sectional, correlational survey. The study was conducted between May 2023 and June 2024. The participants consisted of a convenient sample of 110 community-dwelling older adults aged 65 years or older who were diagnosed with at least three chronic diseases at least 3 months earlier.</p><p><strong>Results: </strong>Factors associated with HRQoL were identified using multiple regression analysis. High selfefficacy (β = -.29, p = .010) and fewer chronic diseases (β = .21, p = .013) were significant positive predictors of physical HRQoL in older adults with multimorbidity, which explained 32% of the variance. For mental HRQoL, the predictors were a lower level of depressive symptoms (β = -.50, p < .001), lower dependence in instrumental activities of daily living (β = -.29, p = .024), and disease duration of 5-9 years (β = -.21, p = .009), which explained 49% of the variance.</p><p><strong>Conclusion: </strong>These findings suggest that customized interventions accounting for both physical and mental factors may more effectively improve the QoL of older adults with multimorbidity. Healthcare providers should assess unmet needs, considering chronic multimorbidity, functional status, and disease duration and implement self-efficacy-based QoL interventions prioritizing the management of depression. Cite this article as: Jang, Y., & Cho, O. (2026). Factors associated with quality of life in older adults with multimorbidity: a cross-sectional study. Florence Nightingale Journal of Nursing, 34, 0156, doi:10.5152/FNJN.2026.26156.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-9"},"PeriodicalIF":1.5,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149344924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of Cognitive Function and Physical Activity with Frailty: A Community-Based Study of Older Adults.","authors":"Alime Selçuk Tosun, Nurcan Akgül Gündoğdu, Büşra Dağcı Günal, Büşra Demirdağ","doi":"10.5152/FNJN.2026.25410","DOIUrl":"10.5152/FNJN.2026.25410","url":null,"abstract":"<p><strong>Aim: </strong>This study examined the associations among cognitive function, physical activity, and sociodemographic factors on frailty levels among older adults in a primary care population.</p><p><strong>Methods: </strong>A cross-sectional study was conducted with 269 older adults who applied for primary health care services in a province of Türkiye. Data were collected via face-to-face interviews using the Edmonton Frailty Scale, Physical Activity Scale for the Elderly, and Standardized Mini Mental Test. Multiple regression analyses were performed to identify factors associated with frailty.</p><p><strong>Results: </strong>The mean frailty score was 4.83 ± 2.93, with 46.8% of participants classified as vulnerable or frail. Age (β = .507), female gender (β = .603), lower education (β = .492), unemployment (β = .525), poor economic status (β = .672), chronic disease (β = .619), polypharmacy (β = .497), lower cognitive level (β = -.455), and lower physical activity (β = -.507) were significantly associated with frailty (p < .001 for all associated factors). The model explained 78.9% of variance in frailty levels (adjusted R2 = .789).</p><p><strong>Conclusion: </strong>Frailty among older adults was significantly associated with modifiable factors, including physical inactivity and cognitive decline, as well as socioeconomic vulnerability. Integrating frailty screening into primary health care and implementing interventions targeting physical and cognitive health may help reduce frailty-related vulnerability in aging populations. Cite this article as: Sel.uk-Tosun, A., Akgül-Gündoğdu, N., Dağcı-Günal, B., & Demirdağ, B. (2026). Associations of cognitive function and physical activity with frailty: a community-based study of older adults. Florence Nightingale Journal of Nursing, 34, 0410, doi: 10.5152/FNJN.2026.25410.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-8"},"PeriodicalIF":1.5,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658880/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149139504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the Reliability and Quality of Nursing Care Plans Produced by Artificial Intelligence Models for Patients Experiencing Anaphylactic Shock: A Methodological and Exploratory Investigation.","authors":"Ayşe Soylu, Dilek Soylu","doi":"10.5152/FNJN.2026.25162","DOIUrl":"10.5152/FNJN.2026.25162","url":null,"abstract":"<p><strong>Aim: </strong>This study aimed to develop and validate a ChatGPT 4.0 and DeepSeek V3 model-supported nursing care plan for patients with anaphylactic shock.</p><p><strong>Methods: </strong>The type of study is methodological and exploratory research. The research consists of three phases and six steps. Phase 1: Patient Scenario Development: (1) literature review and (2) scenario creation. Phase 2: Nursing Care Plan Development: (3) identification of patient care needs and (4) generation of a scenario-based nursing care plan by AI. Phase 3: Validation of the Nursing Care Plan: (5) expert review and validation of the AI-generated nursing care plan and (6) assessment of the nursing care plan's readability. ChatGPT 4.0 and DeepSeek V3 were employed to create nursing care plans. The Grading of Recommendations Assessment, Development, and Evaluation scale was utilized to evaluate the quality of nursing care plans. The intraclass correlation coefficient was utilized to assess the inter-rater reliability of the evaluation tool. The analysis of readability was conducted utilizing the Ateşman, the Flesch-Kincaid Grade Level, the Gunning Fog Index, and the Simple Measure of Gobbledygook formula.</p><p><strong>Results: </strong>A notable difference emerged between the models in the Nursing Assessment section, as experts assigned higher scores to ChatGPT 4.0 (p < .005). No significant differences were found among the artificial intelligence models in other sections (p > .05). DeepSeek V3 exhibited an elevated readability level, indicated by a Flesch-Kincaid Grade Level of 13.19, a Gunning Fog Index of 17.20, and an Simple Measure of Gobbledygook score of 9.91.</p><p><strong>Conclusion: </strong>Nursing care plans designed with artificial intelligence support are sufficiently readable and applicable for nurses. Cite this article as: Soylu, A., & Soylu, D. (2026). Evaluation of the reliability and quality of nursing care plans produced by artificial intelligence models for patients experiencing anaphylactic shock: a methodological and exploratory investigation. Florence Nightingale Journal of Nursing, 34, 0162, doi: 10.5152/FNJN.2026.25162.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-10"},"PeriodicalIF":1.5,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658879/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149139502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Missed Nursing Care Perceived by Chinese Nursing Students During Clinical Internship: A Cross-sectional Study.","authors":"Guoxian Wang, Hu Jiang","doi":"10.5152/FNJN.2026.25274","DOIUrl":"10.5152/FNJN.2026.25274","url":null,"abstract":"<p><strong>Aim: </strong>To determine the extent of missed nursing care during clinical internships and explore its predictors among nursing students.</p><p><strong>Methods: </strong>This cross-sectional study was conducted from June 17 to June 25, 2024. Participants were fulltime nursing students during their internship period in hospitals of two provinces in China. Measurements included demographics, the MISSCARE survey, the professional identity scale for nursing students, and the Maslach burnout inventory general survey. Data were analyzed using descriptive, Spearman's correlation, and generalized linear regression analysis.</p><p><strong>Results: </strong>A total of 571 nursing students were included in this study. The prevalence of missed nursing care ranged from 2.6% to 9.3%, which is at a low level. The top three ranked missing nursing care were timely bed change, turning every 2 hours, and diet guidance. The three lowest prevalence of missing nursing care were measure vital signs, bedside blood glucose test, and responding to call bell. The primary reasons for missing nursing care were staffing shortages, patient surges, and non-nursing tasks. Regression analysis showed that grade level, department rotations, training frequency, burnout, and professional identity significantly influenced missed nursing care.</p><p><strong>Conclusion: </strong>Nursing students experienced low levels of missed nursing care during clinical internship. A link was identified between missed care and clinical experience, professional identity, burnout, unit rotation, and training frequency. Cite this article as: Wang, G., & Jiang, H. (2026). Missed nursing care perceived by Chinese nursing students during clinical internship: a cross-sectional study. Florence Nightingale Journal of Nursing, 34, 0274, doi: 10.5152/FNJN.2026.25274.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-8"},"PeriodicalIF":1.5,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658878/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149139458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Mediating Effect of Psychological Capital Between Two-Way Social Support and Academic Resilience Among Chinese Undergraduate Nursing Students.","authors":"Jingjing Zhang, Feiyue Li, Wenjing Li, Feifei Xiong, Lingfan Zhou, Shimeng Dai, Tao Wei, Chaoqun Dong","doi":"10.5152/FNJN.2026.25403","DOIUrl":"10.5152/FNJN.2026.25403","url":null,"abstract":"<p><strong>Aim: </strong>This study examined the mediating role of psychological capital between two-way social support and academic resilience among undergraduate nursing students.</p><p><strong>Methods: </strong>This cross-sectional study used convenience sampling to conduct a questionnaire survey among 1256 undergraduate nursing students in China in December 2022. The College Student Academic Resilience Scale, the Two-way Social Support Scale, and the Positive Psychological Capital Scale were used to collect the research data. To examine complex relationships among variables, correlation analysis and structural equation modeling were applied. The sample size met structural equation modeling requirements, and the bootstrap method was used to test the mediating effect of psychological capital and its 95% confidence interval.</p><p><strong>Results: </strong>Two-way social support positively predicted psychological capital (β = 0.792, 95% CI [0.657, 0.927], p < .001), which in turn positively predicted academic resilience (β = 0.869, 95% CI [0.814, 0.924], p < .001). No direct effect was found between two-way social support and academic resilience (β = -0.005, 95% CI [-0.107, 0.097], p = .903). Psychological capital fully mediated this relationship with a significant indirect effect (β = 0.688, 95% CI [0.638, 0.726], p < .001).</p><p><strong>Conclusion: </strong>Psychological capital fully mediates how two-way social support enhances academic resilience. Integrating psychological capital development and structured social support into nursing education may effectively promote student resilience. Cite this article as: Zhang, J., Li, F., Li, W., Zhou, L., Xiong, F., Dai, S., Wei, T., & Dong, C. (2026). The mediating effect of psychological capital between two-way social support and academic resilience among chinese undergraduate nursing students. Florence Nightingale Journal of Nursing, 34, 0403, doi: 10.5152/FNJN.2026.25403.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-13"},"PeriodicalIF":1.5,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13586589/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148901656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disposal of Household Healthcare Waste: A Cross-Sectional Analysis from Türkiye.","authors":"Aylin Yalçın Irmak, Aysun Perim Ketenciler, Meryem Metinoğlu","doi":"10.5152/FNJN.2026.25313","DOIUrl":"10.5152/FNJN.2026.25313","url":null,"abstract":"<p><strong>Aim: </strong>The aim of this study is to identify the types and disposal methods of household healthcare waste (HHW) in Türkiye.</p><p><strong>Methods: </strong>This cross-sectional study was carried out between December 15, 2023, and March 15, 2024. A structured survey was administered to 1243 patients or accompanying relatives who received outpatient care or were discharged from a tertiary healthcare institution in Türkiye, ensuring only one respondent per household. Descriptive statistical methods including frequencies, percentages, means, standard deviations, and minimum-maximum values were used to analyze the data.</p><p><strong>Results: </strong>The most common pharmaceutical HHWs in the past year were: 89.1% tablets, 56.5% syrups, 52.5% ointments, and 33.6% drops. The most common infectious HHW was 25% blood-contaminated dressing waste. The most common sharps HHWs were 20.7% blood glucose measurement needles/kits, 19.4% syringes, and 11.3% broken light bulbs. 43.1% of participants reported disposing of infectious HHWs, 37% of sharps HHWs, and 67.6% of pharmaceutical HHWs in household waste.</p><p><strong>Conclusion: </strong>Findings highlight substantial gaps and challenges in HHW disposal practices in Türkiye. A significant proportion of HHWs is disposed of together with household waste, and most individuals lack adequate information regarding safe disposal methods. These results underscore the urgent need for legislative frameworks and public education initiatives to improve HHW management, protect public health, and promote environmental sustainability. Cite this article as: Yalçın Irmak, A. , Perim Ketenciler, A. , & Metinoğlu, M. (2026). Disposal of household healthcare waste: A cross-sectional analysis from Türkiye. Florence Nightingale Journal of Nursing, 34, 0313, doi: 10.5152/FNJN.2026.25313.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-6"},"PeriodicalIF":1.5,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13470751/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148690277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of Academic Procrastination Model for Nursing Students at Institute of National Importance: Expanding Horizons in Nursing Education.","authors":"Kunal Mondal, Akash Lodhi, Gayatri Choudhary, Neelam Kamboj, Renu Kumari, Bhim Singh, Ravneet Kaur, Anupam Singh, Mukta, Sarita Rawat, Yash Panwar, Sumesh Kumar, Pramod Kumar Nagar, Ashok Kumar","doi":"10.5152/FNJN.2026.25542","DOIUrl":"10.5152/FNJN.2026.25542","url":null,"abstract":"<p><strong>Aim: </strong>This study statistically assessed the predictive as well as outcome variables of academic procrastination among nursing students to develop an \"Academic Procrastination Model for Nursing Students.\"</p><p><strong>Methods: </strong>A descriptive cross-sectional research design was used to collect data from 436 college nursing students of an institute of national importance in Northern India through total enumeration sampling from 4th April to 20th April 2025. Procrastination assessment scale, perceived stress scale, academic anxiety scale, and academic performance assessment, etc. tools were used to collect data. Informed consent was taken and confidentiality was maintained. Descriptive (mean ± SD, frequency/percentage) and inferential statistics (independent t-test, one-way analysis of variance test, chi-square/Fisher's Exact test, Pearson's correlation coefficient, multiple linear regression, and generalized linear regression model) were used for analysis.</p><p><strong>Results: </strong>A total of 436 participants were included in the study, with a mean age of 22.19 ± 3.33 years. The majority were female (97%), 76.1% were enrolled in Basic B.Sc. Nursing, and 67.8% belonged to the middle class. The mean PASS score was 51.64 ± 12.52, indicating a moderate level of academic procrastination. High procrastination was observed in writing term papers (47.7%) and studying for examinations (46.8%). No significant association was found between socio-demographic variables and procrastination (p > .05). Multiple linear regression analysis revealed that yoga/meditation, morning self-study, screen time, peer pressure, and lack of motivation were significant predictors of academic procrastination (p < .05). Higher procrastination was significantly associated with increased perceived stress and academic anxiety (p < .05), and decreased academic performance and self-efficacy (p < .05). Participants suggested several strategies to reduce procrastination, including interdisciplinary research opportunities (88.1%), mental and physical health education (86.9%), individualized counselling and coaching (85.6%), and digital wellbeing strategies (83.5%).</p><p><strong>Conclusion: </strong>Based on study findings, an \"Academic Procrastination Model for Nursing Students\" was developed to emphasize healthy behaviors, time management, and stress reduction, as conventional strategies may be insufficient. Cite this article as: Mondal, K., Lodhi, A., Choudhary, G., Kamboj, N., Kumari, R., Singh, B., Kaur, R., Singh, A., M., Rawat, S., Panwar, Y., Kumar, S., Kumar Nagar, P., & Kumar, A. (2026). Development of academic procrastination model for nursing students at institute of national importance: expanding horizons in nursing education. Florence Nightingale Journal of Nursing, 34, 0542, doi:10.5152/FNJN.2026.25542.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-11"},"PeriodicalIF":1.5,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13470752/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148690272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence-Supported Virtual Nursing at Home: A Systematic Review.","authors":"Gennaro Laus, Gabriella Spagnuolo","doi":"10.5152/FNJN.2026.25197","DOIUrl":"10.5152/FNJN.2026.25197","url":null,"abstract":"<p><strong>Aim: </strong>To evaluate the effectiveness of artificial intelligence (AI)-based chatbots in virtual nursing care at home, comparing them with traditional care, in terms of therapeutic adherence and improvement of clinical outcomes.</p><p><strong>Methods: </strong>A systematic review was conducted on March 7, 2025, according to the the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The databases consulted were PubMed (Medline) and the Cochrane Library. Studies published since 2020 in Italian or English were included. After the screening process, six studies dealing directly or indirectly with the use of AI in home nursing consultation were included.</p><p><strong>Results: </strong>The analysis shows that chatbots and AI systems improve monitoring, therapeutic adherence, and access to healthcare services. Specifically, AI-based nutritional models showed improved anthropometric and biochemical indicators and a reduction in nutritional risk in patients with chronic kidney disease. Smart home systems have improved the timeliness of clinical event detection and the nurse's decision-making role; medication support robots have reduced nursing workload and improved therapeutic safety. Critical issues related to training, professional acceptance, and technological infrastructure have emerged, limiting the full integration of AI into home care.</p><p><strong>Conclusion: </strong>This review highlights a growing interest in integrating AI into home nursing care, with promising preliminary results. The study fills a gap in the literature by identifying current trends, benefits, and limitations and highlights the need for further clinical research to validate the effectiveness of AI-based nursing chatbots. Cite this article as: Laus, G., & Spagnuolo, G. (2026). Artificial intelligence-supported virtual nursing at home: A systematic review. Florence Nightingale Journal of Nursing, 34, 0197, doi:10.5152/FNJN.2026.25197.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-8"},"PeriodicalIF":1.5,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13520384/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148622927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relationship Between Traumatic Stress Symptoms and Care Behaviors Among Clinical Nurses After the Kahramanmaraş Earthquake: A Descriptive Correlational Study.","authors":"Sümeyye Akçoban, Hümeyra Yüksel","doi":"10.5152/FNJN.2026.25053","DOIUrl":"10.5152/FNJN.2026.25053","url":null,"abstract":"<p><strong>Aim: </strong>This study aimed to examine the relationship between traumatic stress symptoms and care behaviors among clinical nurses who survived the Kahramanmaraş-centered earthquake, referred to as the Disaster of the Century.</p><p><strong>Methods: </strong>This descriptive correlational study was conducted online between April 26 and June 26, 2023, with nurses working in a city affected by the earthquake (n = 300). Participants were recruited using a convenience sampling method. Data were collected using the Nurse Introductory Information Form, the Traumatic Stress Symptoms Scale, and the Care Behaviors Inventory-24 through Google Forms. Data were analyzed using descriptive statistics and Pearson correlation analysis in SPSS version 25.0. Statistical significance was set at p < .001.</p><p><strong>Results: </strong>The mean score of the Care Behaviors Inventory was 4.21 ± 1.07, indicating a high level of care behaviors. The total mean score of the Traumatic Stress Symptoms Scale was 57.24 ± 13.88, reflecting high levels of traumatic stress symptoms. A strong negative correlation was found between traumatic stress symptoms and care behaviors (r = -.778, p < .001).</p><p><strong>Conclusion: </strong>The findings indicate that although nurses experienced high levels of traumatic stress symptoms after the earthquake, they continued to demonstrate high levels of caring behaviors and maintained patient care despite significant stress. Cite this article as: Ak.oban, S., & Yüksel, H. (2026). The relationship between traumatic stress symptoms and care behaviors among clinical nurses after the Kahramanmaraş earthquake: A descriptive correlational study. Florence Nightingale Journal of Nursing, 34, 0053, doi:10.5152/FNJN.2026.25053.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-9"},"PeriodicalIF":1.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13520377/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148622944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relationship Between Feelings of Stigma in Tuberculosis Patients and the Social Support Provided by Household Contacts: A Cross-Sectional Study.","authors":"Uğur Doğan, Sema Aytaç, Meltem Sungur","doi":"10.5152/FNJN.2026.25033","DOIUrl":"10.5152/FNJN.2026.25033","url":null,"abstract":"<p><strong>Aim: </strong>The aim of this study was to examine the relationship between feelings of stigma in tuberculosis (TB) patients and the social support provided by their household contacts, who are family members.</p><p><strong>Methods: </strong>This cross-sectional study aimed to examine the relationship between feelings of stigma in TB patients and the social support provided by their household contacts in southern Türkiye (81 patients and 81 household contacts). The data were collected between May and August 2022 using Individual Information Forms, the Tuberculosis-Related Stigma Scale, and the Provided Social Support Scale.</p><p><strong>Results: </strong>Although household contacts with higher education and income provided more social support (p < .05), these characteristics did not predict stigma levels among patients (p > .05). A low level of social support provided to TB patients by their household contacts was associated with more feelings of stigma, from both patient perspective and community perspective (p < .05).</p><p><strong>Conclusion: </strong>Household contacts should be encouraged to develop positive behavioral changes toward TB. Awareness of household contacts should be raised about the importance of social support in TB by health professionals. Thus, by increasing the social support provided to TB patients through household contacts, patients' feelings of stigma can be reduced. Cite this article as: Doğan, U., Ayta., S., & Sungur, M. (2026). The relationship between feelings of stigma in tuberculosis patients and the social support provided by household contacts: A cross-sectional study. Florence Nightingale Journal of Nursing, 34, 0033, 10.5152/FNJN.2026.25033.</p>","PeriodicalId":73033,"journal":{"name":"Florence Nightingale journal of nursing","volume":"34 ","pages":"1-9"},"PeriodicalIF":1.5,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13397313/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148474528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}