JOURNAL OF NURSING SCHOLARSHIP

The Relevance of Sustainability and the Climate Crisis to the Nursing Profession and Nursing Education: A Literature Review
Hendry M, Helfer T, Eissler C and Burr C
The climate crisis impacts global health and is exacerbated by the healthcare sector's emissions. Nurses, as the largest professional group, are key to promoting climate-resilient, low-carbon health systems. Integrating climate change and sustainable development into nursing education is crucial, yet gaps remain in understanding their representation in curricula and practice. This review examines the role of nursing in addressing climate change and sustainable development, focusing on their integration into education and related recommendations.
Barriers to and Facilitators of Shared Decision-Making Implementation in Fertility Preservation for Patients With Cancer: A Qualitative Study
Han J, Son YJ, Jang M, Cho E and Ahn J
To identify the barriers and facilitators in the implementation of fertility preservation (FP) shared decision-making (SDM) in oncology care.
Effectiveness of an Online Training Program on Brief Tobacco Intervention (BTI) for Nurses: A Quasi-Experimental Study. The E-Learning BTI Project
Ramos-Morcillo AJ, Ruzafa-Martinez M, Granero-Moya N, Leal-Costa C, Fernández-Salazar S and García-Moral AT
Smoking is the leading cause of preventable deaths. The training of professionals on brief tobacco interventions (BTIs) increases the effectiveness of these interventions.
ChatGPT-4 in Nursing Research: A Methodological Evaluation of Bias Risk in Randomized Controlled Trials
Tuncer M and Tuncer GZ
Conducting bias assessments in systematic reviews is a time-consuming process that involves subjective judgments. The use of artificial intelligence (AI) technologies to perform these assessments can potentially save time and enhance consistency. Nevertheless, the efficacy of AI technologies in conducting bias assessments remains inadequately explored.
The Experience of Self-Care in People With Osteoporosis: A Qualitative Descriptive Study
Tedesco C, Bernalte-MartÍ V, Tormen M, Cuoco A, Pucciarelli G, Vellone E, De Maria M, Basilici Zannetti E, Cittadini N, Pennini A, Tecce SM, Smakaj A, Tarantino U and Alvaro R
Osteoporosis requires long-term self-care engagement, yet little is known about how individuals experience and manage self-care in everyday life. Understanding these experiences is essential to inform tailored nursing interventions. The objective of the study was to explore and describe the experience of self-care maintenance, monitoring, and management in people with osteoporosis.
Quality and Bias in Randomized Controlled Trials Published in Latin American Nursing Journals: A Meta-Epidemiological Study
Buitrago-García D, Medina-Aedo M, Montesinos-Guevara C, Rodriguez Vargas W, Lozano Hernández M, Castro CA, Pardo-Hernandez H and Bonfill X
Randomized controlled trials (RCTs) are essential for evidence-based nursing care. However, the quality of reporting and adherence to methodological standards in Latin American nursing journals remains unclear. This study evaluates the characteristics, reporting quality, and potential risk of bias of RCTs published in Latin American nursing journals.
Evaluation of the Integration of Genetics and Genomics Into Nursing Practice
Calzone K, Stokes L, Peterson C, Yee LM, Liewehr D and Badzek L
Assess US registered nurse genomic competency.
Examining the Construction of Sensory Balance and Well-Being in Psychiatric Nurses Caring for Trauma Victims: A Qualitative Study
Günday EA and Güler KG
Sensory balance is the individual's ability to regulate internal and external sensory stimuli to remain in a functional and balanced state.
What Do You Need to Know and What Knowledge Does the Discipline of Nursing Need to Discover?
Gennaro S
Reframing Competence and Moral Clarity in Nursing Practice
Babate FJ and Sa'at SF
This article challenges the tendency to frame diminished confidence and ethical uncertainty among nurses as individual shortcomings. While the need for up-to-date knowledge and moral clarity is undeniable, this piece argues that systemic factors-such as inadequate institutional support, unsafe staffing, and lack of access to continuing education-play a significant role in undermining nurses' ability to act ethically and confidently. Drawing from global case examples, including the Ebola crisis and the COVID-19 pandemic, this article highlights how moral distress often stems not from ignorance or weakness, but from structural barriers and ethical overload.
Response
Hirschfeld MJ
Global, Regional, and National Incidence Trends of Pressure Injury From 1990 to 2021
Xu X, Shi G, Yang W, Liu P and Jiang L
With an aging population worldwide, pressure injury (PI) is becoming a critical challenge for healthcare professionals. We aimed to investigate the difference in PI trend globally across age groups from 1990 to 2021.
Moral Resilience Is Distinct From General Resilience When Predicting Burnout Among Interprofessional Health Care Workers: Secondary Analysis
Nelson KE, Hanson GC, Giordano SS and Rushton CH
Burnout, a form of moral suffering, has become more commonplace among health care workers in recent years. Measures of general resilience have been widely used to capture improvement in burnout but lack the ability to capture the anguish that comes with burnout from a moral standpoint. The purpose of this analysis was to understand whether moral resilience is uniquely related to burnout beyond a measure of general resilience in a sample of interprofessional health care workers.
Invisible Inequities: Gender in Nursing and the Leadership Paradox
Ferrer L, Bernales M and Bradbury C
To examine the paradox of representation without power in nursing leadership and to highlight how gendered hierarchies persist in academic, clinical, and policy arenas despite nursing's predominantly female composition.
Artificial Intelligence Applications in Healthcare: A Systematic Review of Their Impact on Nursing Practice and Patient Outcomes
Abdelmohsen SA and Al-Jabri MM
Artificial Intelligence is revolutionizing healthcare by addressing complex challenges and enhancing patient care. AI technologies, such as machine learning, natural language processing, and predictive analytics, offer significant potential to impact nursing practice and patient outcomes.
Lived Experiences of Transgender Inmates in Barcelona Prisons: An Interpretative Phenomenological Study
Sererols-Serra J and Leyva-Moral JM
Incarceration significantly impacts inmates health, particularly marginalized groups like transgender persons, due to systemic oppression and inadequate healthcare. This study aims to understand transgender prisoners' health management experiences.
AI Nurses Network: The Importance of Clinical Research Networks in Nursing
O'Connor S, Grosan C, Oakey RJ, Zhang M, Li X, Stanmore E, Woodcock D, Armes J and Cull J
Investigating the Personal and Professional Variables That Predict Discrimination Attitudes Among Nurses and Physicians
Tekin S and Harmanci Seren AK
Healthcare professionals are expected to provide holistic care to their patients without discrimination based on factors such as religion, language, age, gender, and race.
From Task Shifting to Advanced Practice Nursing in Primary Care: A Contextualized Framework for LMICs Informed by Evidence From The Philippines
Tamayo RLJ and Moncatar TJR
As healthcare systems confront rising demands and workforce shortages, advanced practice nursing (APN) has emerged globally as a vital strategy to improve care delivery and address systemic gaps, particularly in primary care facilities in low- and middle-income countries like the Philippines.
From Conversation to Standardized Terminology: An LLM-RAG Approach for Automated Health Problem Identification in Home Healthcare
Zhang Z, Gupta P, Song J, Zolnoori M and Topaz M
With ambient listening systems increasingly adopted in healthcare, analyzing clinician-patient conversations has become essential. The Omaha System is a standardized terminology for documenting patient care, classifying health problems into four domains across 42 problems and 377 signs/symptoms. Manually identifying and mapping these problems is time-consuming and labor-intensive. This study aims to automate health problem identification from clinician-patient conversations using large language models (LLMs) with retrieval-augmented generation (RAG).
Writing So That Your Work Will Be Read
Gennaro S