AIM: To investigate the factors predicting physical and mental health-related quality of life (HRQoL) in older adults with multimorbidity. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
AIM: 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.” METHODS: 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. RESULTS: 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%). CONCLUSION: 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.
AIM: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.
AIM: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. METHODS: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. RESULTS: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. CONCLUSION: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.
AIM: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. METHODS: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. RESULTS: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). CONCLUSION: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.
