Conectar
To explore the challenges and facilitators to consumer engagement in care during hospital attendance, integrating the perspectives of patients, informal carers and care providers.
A qualitative descriptive study using semi-structured interviews.
A total of 102 individual interviews were conducted with patients (n = 43), informal carers (n = 31) and hospital care providers (n = 28) recruited from across Australia using purposive, convenience and snowball sampling. Data were collected between March 2023 and January 2024. Interviews were audio-recorded, transcribed and analysed using thematic analysis.
Eight themes illustrating factors that facilitated or hindered consumer engagement were nested within three overarching domains: relational conditions for engagement; consumer capacity and support; and organisational, system, and safety conditions. Patients, carers and care providers identified many overlapping barriers and facilitators, but differed in how they experienced and emphasised them.
Consumer engagement in hospital care is shaped by individual, interpersonal, organisational, cultural, systemic and ethical factors. Improving engagement therefore requires care environments that actively legitimise patient and carer engagement while providing staff with the time, resources and policy clarity needed to support safe and meaningful participation.
Healthcare organisations could strengthen consumer engagement by improving staff communication practices and cultural sensitivity, supporting patient and carer health literacy, creating structured opportunities for engagement, clarifying confidentiality and safety boundaries, and considering locally feasible support roles or technologies. Such strategies require adaptation to workforce and resource constraints and should be evaluated in future research.
What problem did the study address? ○
Consumer engagement is central to high-quality, patient-centred care, yet the factors that shape it remain incompletely understood, with prior research typically focusing on single perspectives or discrete episodes of hospital care.
What were the main findings? ○
Eight themes were nested within three overarching domains: relational conditions for engagement; consumer capacity and support; and organisational, system, and safety conditions. Although themes were broadly consistent across patients, carers, and care providers, the groups differed in how they experienced and emphasised these factors.
Where and on whom will the research have an impact? ○
The findings will inform care providers, healthcare organisations, and policymakers in developing strategies to improve consumer engagement across hospital settings, with relevance to international contexts where patient-centred care is a priority.
This study adhered to the Consolidated Criteria for Reporting Qualitative Studies (COREQ) guidelines.
Patients and members of the public were involved in the study design, participant recruitment, and interpretation and dissemination of findings. A Patient and Carer Advisory Board provided input from inception to dissemination, ensuring the research addressed patient-relevant priorities.
Not registered.
This study aimed to explore and synthesise interpreters’ perspectives on the provision of sexual and reproductive health (SRH) care to Eritrean and Somali migrant women in Switzerland, and to identify and analyse the professional and ethical challenges they encounter in this context.
An exploratory qualitative study from a social constructionist perspective. The interviews were recorded, transcribed, categorised and analysed through thematic analysis.
The study was conducted in the canton of Basel-Stadt, northwestern Switzerland. We have purposively selected 10 Eritrean and Somali intercultural interpreters serving as crucial intermediaries in assisting immigrant women to access SRH services.
Our analysis of the interpreters’ perspectives revealed three key thematic areas that they identified as central challenges for their Eritrean and Somali immigrant women: (1) perceived limited health literacy among patients, (2) sociocultural barriers that interpreters observed hindering patient provider communication and (3) structural difficulties that interpreters reported their patients faced in navigating the Swiss healthcare system. These challenges have now persisted for a long time, and research findings and recommendations do not appear to have changed practices. For example, while abortion services are fully covered by Swiss health insurance, contraceptive methods often require out-of-pocket payments. This financial disparity may discourage appropriate use of SRH services among immigrant women. The lack of culturally competent care and the limited availability of funding for intercultural interpreters were among important bottlenecks identified.
This study explored interpreters’ perspectives on the provision of SRH care to Eritrean and Somali immigrant women in Switzerland. Despite the outstanding Swiss healthcare system, a majority of Eritrean and Somali refugee women struggle to benefit from SRH services due to limited health literacy, language barriers and challenges in navigating the Swiss healthcare system. Partnerships and integration of community entities, such as the Swisso-Kalmo association for Somali women and different Eritrean communities, could contribute via facilitating entry points for access to SRH healthcare.
Floods and heatwaves are becoming more frequent and intense and can disrupt routine maternal and child health (MCH) services. Previous reviews have not systematically examined how context and mechanisms may shape adaptation outcomes. This realist-informed systematic review examines how, why and under what conditions interventions support access to, utilisation of and continuity of routine MCH services during flood and heat events.
The search strategy was developed by integrating terms from 17 related reviews, refined with the author team and checked by an experienced London School of Hygiene & Tropical Medicine librarian. The initial database search was conducted on 16 May 2025 and the search was updated on 30 April 2026. Eight databases were searched: Web of Science, Ovid MEDLINE, EMBASE, Global Health, EconLit, GreenFILE, CINAHL and ProQuest Environmental Science & Public Policy. Records published between January 2000 and April 2026 were eligible. Search results were imported into EndNote and deduplicated. Title-and-abstract screening and full-text assessment were conducted independently by two reviewers for the initial search and are ongoing for the updated search, with ASReview being used to prioritise records during title-and-abstract screening. Data extraction across the full review evidence base remains ongoing using a structured template covering study context, intervention characteristics, mechanisms, outcomes, costs and implementation conditions. Study settings will be classified by country income group, health system context and Köppen–Geiger climate zone to compare evidence across settings and, where appropriate, to identify possible climate analogues for exploratory, context-specific assessment. Climate-zone similarity will not be used to infer intervention transferability or future effectiveness. The synthesis will be guided by the WHO Climate-Resilient Health Systems framework, Meadows’ leverage-points framework and realist-informed C–M–O reasoning. Interventions will be grouped to identify where they operate within the health system and which health system components and vulnerabilities they address. Findings will be reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidance.
Ethical approval is not required because the review uses published literature and does not involve human participants. The findings will be disseminated through a peer-reviewed systematic review publication. They will inform the design, improvement and scaling of interventions intended to maintain routine MCH services and strengthen health system resilience to floods and heatwaves across diverse settings.
The review was not prospectively registered with PROSPERO.
To examine the association between compassion fatigue and spiritual care competence amongst palliative care nurses, investigate the mediating role of palliative care quality and determine the moderating effect of job satisfaction.
Palliative care nurses face intense emotional demands and end-of-life stressors, increasing their risk of compassion fatigue and potentially affecting care delivery. Spiritual care competence is central to holistic palliative nursing; however, its association with compassion fatigue and the organisational factors shaping this relationship remain unclear.
A cross-sectional, correlational study.
Using a convenience sampling approach, 141 nurses working in palliative care units across hospitals in different regions of Türkiye were recruited. Data were collected between April and August 2024 via an online questionnaire including demographic variables and validated instruments measuring compassion fatigue, palliative care quality, spiritual care competence and job satisfaction. Data were analysed using SPSS and PROCESS macro.
The mean spiritual care competence score was 107.9 ± 14.7. Compassion fatigue was negatively associated with palliative care quality and spiritual care competence, whereas palliative care quality was positively associated with spiritual care competence. Mediation analysis indicated a significant indirect association between compassion fatigue and spiritual care competence through palliative care quality. Moderated mediation analysis indicated that this indirect effect was significant only amongst nurses reporting higher job satisfaction.
Compassion fatigue was negatively associated with palliative care nurses' spiritual care competence. Mediation analysis suggested that this association was statistically explained by palliative care quality, whilst job satisfaction moderated the relationship between compassion fatigue and care quality.
Addressing compassion fatigue as a critical occupational risk in palliative care nursing is essential. Organisational strategies that enhance job satisfaction and support high-quality care delivery may help sustain nurses' spiritual care competence and promote high-quality palliative nursing practise.
No patients or members of the public were involved in this study. Palliative care nurses participated by completing online questionnaires.
This cross-sectional study was reported in accordance with the STROBE Statement.
The aim of this study was to explore end-of-life simulation in undergraduate nursing curricula in Australian and New Zealand institutions.
A cross-sectional descriptive research design was employed. The study is reported using the CROSS checklist.
A survey was distributed to 45 institutions with an accredited Bachelor of Nursing programme in Australia or New Zealand. The instrument comprised eight domains: simulation orientation, simulator type, simulation environment, instructional design, simulation event, pre-brief, debrief, and facilitation preparation and requirements.
Thirty institutions responded to the survey, with 25 suitable for data analysis. Eleven institutions included end-of-life simulation in their curriculum. The dominant modality used in the end-of-life simulation was high-technology manikins. All institutions used a validated approach to conducting the pre-brief and debrief. Variations were reported in the skill and clinical expertise required of end-of-life simulation facilitators and the approaches and modalities used in end-of-life simulations across institutions.
A small number of institutions reported including end-of-life simulations in their undergraduate nursing curriculum. This study found the end-of-life simulations integrated into undergraduate nursing curricula in Australia and New Zealand align with many elements of the Healthcare Simulation Standards of Best Practice. There were variations in the simulation modality and facilitation style used to deliver end-of-life simulations across institutions. While a pre-brief session was included, the elements covered and information conveyed to participants varied across institutions. Additionally, the content expertise required of simulation facilitators lacked clarity.
The influence the pre-brief has on the student learning experience requires further research. Moreover, the learning experiences of the participants in various simulation modalities, including the influence of SPs and debriefing approaches, warrant investigation. The role and impact of professional development and facilitator requirements, such as skills and clinical expertise, on the student learning experiences and outcomes in EOL simulation offer opportunities for further research.
There were no patient or public contributions in this study.
To investigate whether patient safety culture is associated with nurses' turnover intention and to examine correlational sequential pathways involving burnout and job satisfaction, drawing on Conservation of Resources theory.
A descriptive, correlational design.
This study used data collected during 2023 from a hospital-wide patient safety culture survey conducted in four hospitals in South Korea. The sample comprised 3082 nurses from diverse units. Relationships among patient safety culture, burnout, job satisfaction, and turnover intention were examined using a mediation model within a structural equation modelling framework (WLSMV estimator with probit link), controlling for age and hospital tenure.
Patient safety culture was associated with lower burnout and higher job satisfaction. Burnout was associated with lower job satisfaction and with a higher likelihood of turnover intention, whereas job satisfaction was associated with a lower likelihood of turnover intention. When burnout and job satisfaction were considered together, the association between patient safety culture and turnover intention was explained through these two factors rather than by a direct pathway.
Patient safety culture functions as an organizational resource that relates to reduced burnout and enhanced job satisfaction, which together relate to lower intention to leave.
Strengthening patient safety culture—alongside efforts to reduce strain and foster positive job attitudes—may support nurse well-being and improve retention, thereby supporting continuity and safety of patient care.
This study addresses persistent nurse turnover intention in hospitals and identifies patient safety culture as an organizational lever that operates through reduced burnout and improved job satisfaction. The findings can guide nurse leaders and policymakers in hospitals to implement culture-focused strategies that support staff well-being, enhance retention, and sustain safe patient care.
STROBE guidelines were followed.
No patient or public contribution.
To examine the role of self-efficacy in the relationship between medication adherence and self-care behaviours in patients with Inflammatory Bowel Disease by describing their levels and exploring the interconnections among these variables.
Multicenter, cross-sectional.
A total of 452 patients were recruited through consecutive non-probabilistic sampling across nine Italian outpatient Inflammatory Bowel Disease Units. Data were collected using validated tools: the Morisky Medication Adherence Scale-8, the Self-Care Self-Efficacy Scale, and the Self-Care of Chronic Illness Inventory. Descriptive statistics, Pearson correlations, and mediation analyses were performed to explore associations and the mediating role of self-efficacy between medication adherence and self-care behaviours.
Participants had a mean age of 43.49 years; 50.9% were male, 49.2% had Crohn's disease, and 50.8% had ulcerative colitis. Only 10.2% reported high medication adherence, while most showed medium or low adherence. The mean self-efficacy score was 74.82. Medication adherence was positively associated with self-care maintenance, and self-efficacy statistically accounted for part of this association. Lower levels were observed in self-care monitoring and management behaviours.
Medication adherence was positively associated with self-care maintenance, and self-efficacy partially explained this relationship.
Routine assessment of medication adherence and self-efficacy may help identify patients at risk of poor self-care. Interventions aimed at strengthening self-efficacy, such as motivational interviewing, nurse-led counselling, and digital monitoring tools, may improve adherence and self-care maintenance.
The study addressed low medication adherence and suboptimal self-care in patients with IBD. Findings support integrating self-efficacy-enhancing strategies into multidisciplinary care to improve adherence and self-care behaviours.
Patients completed validated self-report questionnaires; however, they were not involved in the study design, conduct, analysis, or manuscript preparation.
To evaluate whether simulation-based I-PASS handoff training improves ICU nurses' knowledge, perceptions of handoff communication and safety attitudes.
Effective handoff communication is crucial for ensuring patient safety and reducing errors. However, simulation-based training (SBT) with structured protocols, such as I-PASS, is rarely used in Egyptian nursing education, highlighting a gap.
A quasi-experimental design was employed.
A convenience sample of 57 ICU nurses was studied from June to December 2023. Data were collected using the I-PASS Handoff Knowledge Questionnaire, Perception of Handoff Communication Tool and Patient Safety Questionnaire. Nurses completed baseline assessments, participated in two simulation-based I-PASS scenarios and repeated assessments post-intervention. Statistical analyses examined the training's impact and its relationships with participants' socio-demographic characteristics.
Significant improvements were observed in I-PASS knowledge, perceptions of handoff communication and safety attitudes (all p < 0.001). Nursing qualifications and place of residence have shown a significant correlation with perceptions of handoff communication and safety attitudes (p < 0.05).
Simulation-based I-PASS handoff training significantly enhances ICU nurses' knowledge, perceptions of handoff communication and safety attitudes. Targeted, context-sensitive educational interventions are necessary to strengthen handoff practices and improve patient safety within the Egyptian healthcare system.
Structured simulation-based training, such as I-PASS, can be effectively integrated into nursing education to standardise handoff communication and improve patient safety outcomes in intensive care settings.
No patient or public contribution.
To evaluate the impact of implementing a prototype of simulation-based educational technology on raising awareness among ICU nurses, improving communication in nursing handover, and promoting patient safety.
Qualitative study based on the conceptual framework of patient safety. The COREQ tool guided the presentation of the research report.
The research was conducted with 18 nurses from the ICU of a public hospital in Rio de Janeiro, Brazil, who worked directly in nursing handover. The technology implemented was developed based on communication failures identified in a previous stage of the macro research project. This evidence supported the development of a simulated scenario of a nursing handover of a critical patient, which was recorded in audio and video. The video addressed content (absence, incompleteness and lack of ordering of information) and behavioural errors (interruptions, distractions, noise and lack of clarity) during communication between intensive care nurses. The video was implemented with nurses through the use of telesimulation with debriefing. Finally, the nurses were subjected to a semi-structured interview to evaluate the potential of the technology, whose data underwent thematic analysis with an inductive model.
The nurses recognised the communication failures portrayed as part of their daily practice, reflected on their mistakes, and on actions to be adopted to change behaviour during the handover.
The simulation-based technology prototype has the potential to promote self-reflection and raise nurses' awareness of the need to change behaviours during the handover.
The simulation-based technology prototype can be applied as an educational strategy to improve communication safety in nursing handover.
No patient or public contribution.
To evaluate the accuracy of the Emergency Severity Index (ESI) assignments by GPT-4, a large language model (LLM), compared to senior emergency department (ED) nurses and physicians.
An observational study of 100 consecutive adult ED patients was conducted. ESI scores assigned by GPT-4, triage nurses, and by a senior clinician. Both model and human experts were provided the same patient data.
GPT-4 assigned a lower median ESI score (2.0) compared to human evaluators (median 3.0; p < 0.001), suggesting a potential overestimation of patient severity by the LLM. The results showed differences in the triage assessment approaches between GPT-4 and the human evaluators, including variations in how patient age and vital signs were considered in the ESI assignments.
While GPT-4 offers a novel methodology for patient triage, its propensity to overestimate patient severity highlights the necessity for further development and calibration of LLM tools in clinical environments. The findings underscore the potential and limitations of LLM in clinical decision-making, advocating for cautious integration of LLMs in healthcare settings.
This study adhered to relevant EQUATOR guidelines for reporting observational studies.
To evaluate the artificial intelligence-assisted lymphedema education material in patients undergoing breast cancer surgery.
A comprehensive, successful methodological design was used to evaluate the portability of the expandable, AI-supported lymphedema education material for breast cancer. The study was reported in accordance with the STROBE statement (see Data S1 for the completed STROBE [Strengthening the Reporting of Observational Studies in Epidemiology] checklist). When preparing the AI-supported lymphedema education material managed with breast cancer treatment, it is first determined in the education of patients. Then, the commands of the Chat GBT-4 program are included in the scope of the transferred education content. For the created education content, readability was first evaluated and expert opinion was taken for the final version of the draft.
While preparing the AI-assisted lymphedema education material in the study, expert opinions were obtained, and the educational needs of the patients were determined by scanning the literature. Then, 12 commands were given in the ChatGPT-4 program to create the educational content. Formulas were used to evaluate the readability of the created educational content in Turkish and the readability of the health literature. The validity of the lymphedema education material was presented to 10 experts. The experts evaluated the understandability and actionability of the educational material using the Patient Education Materials Evaluation Tool and the Global Quality Scale, which evaluates the quality of the educational material.
It was concluded that the readability index of the lymphedema education material for Turkish was 67.3, and the Turkish readability level was ‘easily understandable’. The readability index of health literature was found to be 11.28, 9.68, 10.58, 39.0, and 11.26, respectively. When the internal consistency coefficient between the experts was examined, it was found to be 0.74. It was determined that the Patient Education Materials Evaluation Tool understandability score average was 92.10 ± 9.03, and the actionability score average was 81.60 ± 18.47. The Global Quality Scale score average, which evaluates the suitability and quality of the content of the AI-supported educational material, was found to be 4.10 ± 0.87.
At the end of the study, it was determined that the educational material was reasonable regarding understandability and actionability. The Turkish readability level was also reasonable and easily understandable.
This study is one of the proactive attempts to use AI in preparing educational materials for nurses and healthcare professionals.
No patient or public contribution.
To explore the impact of simulation-based training on communication and empathy skills among nurses working with elderly patients in the Abha region of Saudi Arabia. The study also aimed to identify the barriers and facilitators to applying these skills in real-world clinical practice.
A qualitative study.
Semi-structured interviews were conducted between June and July 2024 with 17 nurses from urban and rural healthcare settings in the Abha region. Data were analysed using both deductive framework analysis, guided by social support theory, and inductive thematic analysis to identify key themes related to communication, empathy, and the application of simulation-based skills in practice. We adhered to the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist.
The study involved 17 participants aged 22–50 years, with diverse educational backgrounds and work experience. The findings indicated that simulation-based training significantly improved nurses' confidence in delivering difficult news and their ability to empathise with elderly patients. Nurses working in urban settings with regular access to simulation training reported better outcomes compared to those in rural settings with less frequent training opportunities.
Simulation-based training has a positive impact on enhancing communication and empathy skills among nurses, but challenges in real-world application remain. Efforts should be made to improve the accessibility of simulation training and address the barriers preventing its effective implementation in clinical practice.
Healthcare practitioners and policymakers should prioritise simulation-based training in nursing education and professional development to improve the quality of care for elderly patients.
The Consolidated Criteria for Reporting Qualitative Research (COREQ).
The engagement and interview data from nursing participants provided valuable insights into the impact of simulation-based training on communication and empathy in elderly care.
To examine the feasibility of using a large language model (LLM) as a screening tool during structured literature reviews to facilitate evidence-based practice.
A proof-of-concept study.
This paper outlines an innovative method of abstract screening using ChatGPT and computer coding for large scale, effective and efficient abstract screening. The authors, new to ChatGPT and computer coding, used online education and ChatGPT to upskill. The method was empirically tested using 400 abstracts relating to public involvement in nursing education from four different databases (CINAHL, Scopus, ERIC and MEDLINE), using four versions of ChatGPT. Results were compared with a human nursing researcher and reported using the CONSORT 2010 extension for pilot and feasibility trials checklist.
ChatGPT-3.5 Turbo was most effective for rapid screening and had a broad inclusionary approach with a false-negative rate lower than the human researcher. More recent versions of ChatGPT-4, 4 Turbo, and 4 omni were less effective and had a higher number of false negatives compared to ChatGPT-3.5 Turbo and the human researcher. These more recent versions of ChatGPT did not appear to appreciate the nuance and complexities of concepts that underpin nursing practice.
LLMs can be useful in reducing the time nurses spend screening research abstracts without compromising on literature review quality, indicating the potential for expedited synthesis of research evidence to bridge the research–practice gap. However, the benefits of using LLMs can only be realised if nurses actively engage with LLMs, explore LLMs' capabilities to address complex nursing issues, and report on their findings.
Nurses need to engage with LLMs to explore their capabilities and suitability for nursing purposes.
No patient or public contribution.
This study aimed to explore nurses' experiences with the Braden Scale, assess their readiness for artificial intelligence (AI) technologies, and understand the innovations they envision for clinical practice.
Explanatory sequential mixed design.
The study included 118 nurses in the quantitative data and 42 in focus groups. Quantitative data were collected using the MAIRS-MS. Qualitative data were analysed using phenomenological approaches and MAXQDA.
The average age was 33.38 ± 7.42 years and 88.1% were women. The average length of professional experience is 11.66 ± 8.22 years. The average time to administer the Braden Scale was 5.02 ± 4.36 min. While 55.1% of the participants found the Braden Scale inadequate, 55.9% stated that a more comprehensive risk assessment scale was needed and the MAIRS-MS score was 78.48 ± 16.66. The sub-themes were identified: Simple and quick applicability, early risk identification, validity and reliability issues, neglecting other risk factors, making it more comprehensive and specific, developing of a new risk assessment scale, technological improvements, patient data treasure chest, creating avatars and converting speech-to-text.
This study highlights critical gaps in the Braden Scale's effectiveness. Nurses identified significant shortcomings, including non-specificity and the neglect of key risk factors, which undermine its utility in clinical settings. They emphasised that stronger risk predictions and personalised care plans can be achieved by AI technology.
This study emphasises the need to revise the Braden Scale or develop a new one due to its limitations in risk assessment, providing crucial information to improve patient care and offering new perspectives on AI integration in PI risk assessment for nursing practice.
This study highlights nurses' experiences and suggestions for improving the Braden Scale in clinical practice, emphasising their expectations for AI technology and its potential to revolutionise patient care.
The study report was prepared following the Good Reporting of A Mixed Methods Study (GRAMMS) checklist.
No patient or public contribution.
Advanced simulation is a methodology that allows the development of technical skills and transversal skills such as teamwork and leadership. There are tools to measure the development of technical competencies and student satisfaction with the methodology, but not to measure the development and use of transversal competencies in the clinical practice setting.
To develop and validate a scale to measure the impact of clinical simulation on the development and application of teamwork and leadership competencies.
A multicentre study was carried out in two Spanish universities in which the Clinical Simulation Learning Teamwork and Leadership Scale was developed and validated.
The study was carried out in several phases: development of the questionnaire using a Delphi method, pilot test and validation of the construct with a sample of 207 nursing students. Reporting of this research adheres to STROBE guidelines.
Content validity was checked according to Aiken's V for the three attributes of the questionnaire. Reliability or internal consistency was assessed with Cronbach's α and the sensitivity analysis showed no significant variation when any item was eliminated. On the other hand, McDonald's Omega statistic was used. Intraobserver reliability was taken from a sample of 47 students, in which it was observed that the intraclass correlation was positive.
The Clinical Simulation Learning teamwork and leadership scale is a valid instrument for measuring the development of transversal competencies.
This scale will provide information to evaluate the weight of the clinical simulation in the students' knowledge.
It is a tool for evaluating transversal skills that is proven valid and will improve the training of students.
The instructions of the STROBE checklist have been followed.
The students have participated in the knowledge transfer self-assessment.
This study examined the anxiety levels of nurses and nurse candidates regarding humanoid nurse robots and artificial intelligence health technologies in perioperative patient care.
Descriptive and cross-sectional study.
The research was conducted with 158 intern students and 167 surgical nurses. Socio-demographic characteristics form, Questions Form Regarding Humanoid Nurse Robots and Artificial Intelligence Health Technologies, Artificial Intelligence Anxiety Scale and The Medical Artificial Intelligence Preparedness Scale were used. The independent t-test and one-way analysis of variance (ANOVA) were used. This study complied with Appendix S1.
The total scores on the Artificial Intelligence Anxiety Scale for nurses and nursing students are 73.089 ± 31.667 and 73.624 ± 28.029, respectively. The total scores on the Artificial Intelligence Readiness Scale for nurses and nursing students are 71.736 ± 15.064 and 72.183 ± 13.714, respectively. When comparing the sociodemographic characteristics and scale scores of nurses, a statistically significant difference was found between age and the Artificial Intelligence Anxiety Scale scores (p < 0.05). There was also a statistically significant difference between age, gender and work duration and the Artificial Intelligence Readiness Scale scores for nurses (p < 0.05).
Both groups exhibited moderate levels of anxiety and readiness regarding artificial intelligence. Comprehensive research is needed to elucidate the impact of artificial intelligence technologies on nursing professionals.
The proper use of Artificial Intelligence technologies can enhance the quality of patient care, alleviate the workload, increase patient and staff satisfaction and foster new perspectives on acceptance. With their integration into clinics, a patient-centred care environment will emerge, improving patient safety, outcomes and overall well-being. Thus, the anxieties of nurses and students towards artificial intelligence technologies will decrease, and their readiness will increase.
No Patient or Public Contribution.
To explore the perceptions of nursing professionals in high-demand healthcare services regarding the adoption of AI-based support systems for the prevention of medication errors.
A qualitative descriptive study was conducted between November 2024 and March 2025.
Sixteen semi-structured interviews were held with nurses from emergency and intensive care units, guided by conceptual dimensions of the Technology Acceptance Model framework. Participants were recruited using purposive and snowball sampling. ATLAS.ti v.9 software was used for an inductive thematic analysis.
Two major themes emerged: (i) professional reflections on medication safety and related risks; and (ii) integrating artificial intelligence into nursing practice to reduce such risks and prevent medication errors. While artificial intelligence was recognised as a promising resource to support clinical decision-making and reduce cognitive load, nurses identified barriers, including limited training, inadequate technological infrastructure, unreliable data sources, and ethical concerns that could compromise its safe implementation and thereby hinder its potential to prevent medication errors.
AI-based support systems are perceived as useful, but complex resources for addressing medication errors, which remain a critical challenge in healthcare. Its successful implementation depends not only on the availability of resources, but also on the organisational context and the ability to respond to the needs and concerns of healthcare professionals.
Integrating artificial intelligence into routine workflows to support clinical decision-making and reduce medication errors in high-demand settings requires more than infrastructure and technical training. Effective adoption demands participatory design, clear role delineation, and context-sensitive training aligned with medication-management processes. Lack of alignment may result in artificial intelligence increasing complexity instead of contributing to safer and more efficient medication administration.
Methods and findings are reported following SRQR recommendations.
No patient or public contribution.
Artificial intelligence integration into healthcare has gained significant attention in recent years, with its use ranging from disease diagnosis to surgical assistance. While artificial intelligence's potential to improve patient outcomes and optimise patient care is undeniable, concerns regarding privacy, transparency, and the potential for medical errors persist. To take full advantage of artificial intelligence's transformative abilities, understanding patient perceptions and attitudes towards its integration into medicine is crucial for ethical considerations and health outcomes.
This study aimed to describe patients' perceptions of medical artificial intelligence and its integration into the healthcare system, drawing attention to a crucial yet understudied aspect of artificial intelligence adoption in Kazakhstan.
Descriptive qualitative design.
From February to March 2024, the researchers conducted semi-structured interviews amongst 13 patients. The interviews were audio-recorded, transcribed, translated, and then analysed using a thematic analysis approach. The study adhered to the COREQ guidelines.
Five themes emerged from 13 interviews: the benefits of artificial intelligence on patient care, the importance of human factors on patient care over artificial intelligence, revolutionising patient care delivery through artificial intelligence, patient education and artificial intelligence, and balancing technology and human interaction in artificial intelligence-driven intervention.
Patient perceptions of artificial intelligence integration into healthcare were primarily positive. Nevertheless, patients prefer artificial intelligence as a supplementary tool under human supervision due to risks such as possible medical errors and violations of patient privacy.
Patients provided the data for this study. The researchers interviewed them about their perceptions of medical artificial intelligence and its integration into the healthcare system. The patients or the public contributed nothing to the other aspects of the study.
Hospital-at-home (HaH) is becoming more widely available to children with cancer, providing care in a familiar environment while upholding medical safety and quality. Little is known, however, about how these children experience their parents' caregiving in the context of HaH, how they perceive and interpret parental roles, what they require in daily care, and how they communicate these needs.
Seven children aged 7 to 12 years undergoing home-based cancer treatment were interviewed using interpretative phenomenological analysis (IPA). These interviews, conducted via telephone, were open-ended and exploratory, allowing the children to express their experiences freely.
One major theme—‘the child's voice’—emerged, encompassing two interrelated sub-themes: (1) parental presence as a condition of care; and (2) the strategies children use to express their voice. Parental presence was described as essential for emotional security, predictability and meaning, serving as both a psychological anchor and a temporal organiser in the child's daily life. The children expressed their voice through multiple forms—verbal, gestural, symptom-focused or silent—revealing their active participation in care and their capacity to preserve relational and emotional continuity within the family setting.
Children with cancer perceive HaH as more than a transfer of hospital treatment; they experience it as a shared relational experience built on parental presence and mutual understanding. Recognising and supporting the child's voice in its various forms is vital for ensuring that HaH becomes not only a site for medical care but also a meaningful space for living.
Our findings highlight the need for healthcare teams to take into account the variety of children's voices and grant them a real place in HaH. They are not simply recipients of care, but also active participants in the care relationship, capable of expressing their needs, emotions, and expectations in their own way.
No patient or public contribution.
To assess perceived patient safety competencies among nursing students and to examine their associations with their perceptions regarding clinical learning environment and unfinished nursing care.
An international comparative cross-sectional study.
A total of 1442 nursing students from the Czech Republic, Italy, Slovakia, and Türkiye participated between February and December 2025. Data were collected using the Health Professional Education in Patient Safety Survey, the Clinical Learning Environment, Supervision and Nurse Teacher scale, and the Unfinished Nursing Care Survey for Students. Descriptive statistics, non-parametric tests, Spearman correlations, and multivariate general linear modelling were applied.
Students reported significantly higher patient safety competencies in clinical compared with academic settings (p ≤ 0.001). Significant cross-country differences were observed across all competency domains (p ≤ 0.001). Perceived patient safety competencies were positively correlated with the overall quality of the clinical learning environment (r = 0.356–0.420; p < 0.001) and negatively correlated with unfinished nursing care (r = −0.107 to −0.171; p < 0.001). Multivariate analysis demonstrated that pedagogical atmosphere, premises of nursing care, supervisory relationship, and particularly the role of the nurse teacher were significant predictors of patient safety competencies.
The development of nursing students' patient safety competencies is closely linked to the quality of clinical learning environments. Strengthening educational and organisational conditions within clinical placements may play an important role in preparing future nurses for safe clinical practice.
Improving the quality of clinical learning environments, strengthening supervision, and addressing unfinished nursing care may support the development of nursing students' patient safety competencies and contribute to safer patient care.
The study was carried out according to the STROBE checklist.
No Patient or Public Contribution.
FreshRSS 