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Surgery and its resulting hospitalisation are associated with subsequent cognitive and functional decline. Interventions to reduce this decline have exhibited limited success. Prehabilitation is the process of enhancing capacity and reserve before an acute stressor to improve tolerance of the acute physiologic insult. Older adults requiring major surgery are an ideal population for prehabilitation. Prehabilitation exercise studies have mostly focused on physical training to improve physical outcomes after specific surgery types, and data on cognitive outcomes and in broader surgical populations are needed. Computerised cognitive training (CCT) has been shown to enhance memory, processing speed, attention and multitasking. Combining CCT with a physical exercise may be most effective in reducing cognitive and functional decline in older patients undergoing major surgery, but has yet to be evaluated.
The COgnitive and Physical Exercise to improve Outcomes after Surgery (COPE-iOS) study is a randomised, controlled, participant and assessor blinded clinical trial testing the hypothesis that a pragmatic programme combining CCT and physical exercise throughout the perioperative (ie, preoperative and postoperative) period will improve long-term cognitive and disability outcomes in older surgical patients at high risk for decline. The trial aims to randomise 250 patients who undergo major surgery for a treatment period of approximately 1 month prior to surgery and 3 months after surgery, with a follow-up period of 12 months after surgery. The primary outcome is global cognition at 3 months after surgery. Key secondary outcomes include global cognition at 12 months after surgery and disability in activities of daily living and depression at 3 and 12 months after surgery.
Trial protocol has been approved by Vanderbilt Human Research Protections Programme (#202496) and an independent Data Safety Monitoring Board. Results will be presented at scientific conferences and submitted for publication.
ClinicalTrials.gov Registry NCT04889417.
To evaluate the feasibility of conducting a full-scale randomised controlled trial to assess the clinical and cost-effectiveness of the MAINTAIN intervention, designed to support recovery and independence following a fall among people living with dementia.
Pilot cluster randomised controlled trial (c-RCT).
Community-based healthcare services across six UK sites representing primary and secondary care settings.
31 participant-carer dyads were recruited. Eligibility criteria included a diagnosis of dementia and a recent fall. Exclusion criteria included severe comorbidity precluding participation. The consent rate was 84%, and retention at follow-up was 81%.
The MAINTAIN intervention comprised tailored, home-based therapy sessions delivered by trained professionals, focusing on functional recovery, confidence and re-engagement in daily activities, compared with usual care. The intervention was delivered over 12 weeks with booster sessions up to week 24, with the full trial period lasting 28 weeks.
Feasibility outcomes included recruitment and retention rates, intervention adherence and data completeness for outcome and economic measures. Exploratory outcomes assessed functional performance and quality of life. Feasibility outcomes were assessed at baseline, 12 weeks and 28 weeks.
Recruitment occurred over an 8-month period (September 2023–April 2024) across six UK sites. Most intervention participants (89%) attended at least 60% of planned sessions. Completion rates for outcome and economic data were high, indicating strong acceptability and feasibility of both the intervention and trial procedures.
The pilot c-RCT demonstrated that recruitment, retention and intervention delivery were feasible and well accepted. Findings support progression to a definitive trial to evaluate the effectiveness and cost-effectiveness of the MAINTAIN intervention.
ISRCTN16413728 (International Standard Randomised Controlled Trial Number registry).
Qualitative research offers unparalleled insights into complex human experiences. The rigour of qualitative data analysis is critical to ensuring credible and actionable findings.
Different qualitative methodologies offer unique lenses to explore human experiences. However, challenges such as context dependency and potential biases necessitate alignment between research aims, analytical strategies and ethical practices to preserve participant voices and ensure methodological rigour.
This narrative review synthesises foundational qualitative methodologies and recent research, offering practical strategies to address challenges in data analysis within nursing and health-related research.
Robust qualitative analysis requires clear analytical aims, reflexivity and ethical integrity. We explore common pitfalls, such as superficial analyses and a lack of transparency, while emphasising the role of rigorous methodologies in ensuring validity, reliability and meaningful findings.
Rigour in qualitative analysis transforms research into actionable insights, informing culturally sensitive care, evidence-based interventions and nursing education. High-quality analysis strengthens the discipline and improves patient outcomes.
Qualitative research demands meticulous and ethical analysis to unlock its full potential. Nurse researchers can deliver findings that drive impactful change in healthcare practice and policy by prioritising analytical rigour and transparency.
No Patient or Public Contribution.
by Zvika Orr, Levi Jackson, Evan Avraham Alpert, Mark D. Fleming
The emergency department (ED) often serves as the first point of care for those with mental health conditions. Mental health-related visits to the ED tend to increase during and after public health crises. In Israel, the war that started in 2023 has had substantial adverse effects on the population’s mental health, increasing the need for emergency services for people with mental health conditions. This article examines the perceptions and experiences of Israeli staff providing care to patients with mental health conditions in an ED of a tertiary-care hospital in Jerusalem. Based on an inductive thematic analysis of 24 semi-structured interviews with staff members, this study sheds new light on the staff’s challenges in treating these patients. The study found that providers navigated a high level of stigma towards people with mental illness. Many providers were aware that negative perceptions of these patients were potentially harmful and may lead to diagnostic overshadowing, and in some cases, they tried to mitigate the effects of stigma. Staff often viewed patients with mental illness as inappropriate users of the ED, assuming limited responsibility for these patients. The findings also illuminate the providers’ inadequate training and skills for treating and managing mental health, as well as organizational and structural constraints. The article recommends ways to improve the treatment of mental health in EDs, such as educational workshops, more support of mental health specialists in EDs, providing calm environments, working alongside experts by experience, and conducting person-centered risk assessments. EDs should strengthen collaboration and referral pathways to community-based mental health services. Moreover, the healthcare system must provide patients with alternative sources of care, such as community crisis centers. These steps can mitigate the expected post-war mental health crisis in Israeli EDs and are relevant to many other countries.Returning research results that indicate risk of Alzheimer disease (AD) dementia—a disease for which no meaningful treatments or cure exist—to cognitively normal participants is controversial. AD is thought to begin many years before clinical signs and symptoms begin. During this time, individuals are cognitively normal but have biomarkers that indicate pathophysiological changes in the brain. With this study, we aim to evaluate the impact of returning research results on cognitively normal participants recruited from a longitudinal observational cohort on ageing at the Knight Alzheimer Disease Research Centre (Knight ADRC) at Washington University in St. Louis.
Our study uses a 2-year, delayed-start randomised clinical trial design. Participants are randomised to receive their research results either 2 weeks or 1 year after informed consent. This study was approved to recruit up to 450 participants with existing genetic and biomarker testing results from the Knight ADRC. During the study period, 260 individuals were eligible and approached for entry into the study. The primary cognitive outcomes are 1-year change in subjective cognitive score on the clinical dementia rating sum of box scores and the objective cognitive score on cognitive composite score. The primary psychosocial outcome is change in geriatric depression scale score 1 year after return of research results. The study was powered to answer primary outcomes with 140 participants (70 per study arm).
This study has been approved by the Washington University School of Medicine (WUSM) Institutional Review Board and the Human Research Protection Office. Results from these trials are shared through conferences and publications.
Childhood cancer survivors (CCSs) experience educational disruptions during and following treatment, yet robust, longitudinal evidence on educational performance remains limited. We will investigate differences in educational outcomes between CCSs and non-cancer peers during primary and secondary school. We will also explore how sociodemographic factors and age at diagnosis contribute to potential differences in General Certificate of Secondary Education (GCSE) examinations, a critical indicator of future academic and employment prospects.
We will use the Education and Child Health Insights from Linked Data (ECHILD) to capture linked health and education data for children born in National Health Service (NHS)-funded hospitals in England. We will generate birth cohorts spanning September 1997 to August 2015 (estimated sample size: ~10 million), formed of pupils expected to have undertaken national curriculum assessments between academic years 2004/2005 and 2021/2022 including Key Stage (KS) 1, 2 and 4, corresponding to ages 7, 11 and 16 respectively. Cancer diagnosis will be identified from inpatient hospital records, using International Classification of Diseases, 10th Revision codes (ICD-10). We will investigate differences between CCS and their non-cancer peers in terms of their sociodemographic characteristics and describe trends in educational performances at all KSs, recorded Special Educational Needs and Disabilities (SEND) and school absences. Differences in KS4 (GCSE) performances between CCS and non-cancer peers will be quantified, according to and accounting for geographic region, sex, deprivation, ethnicity and birth characteristics. To assess whether cancer diagnosis disrupts academic trajectories, we will restrict analysis to those with KS2 attainment data and investigate KS4 performance. We will finally explore the influence of age at diagnosis on educational performance at KS4.
Ethics approval was granted by NHS Health Research Authority Research Ethics Committee (20/EE/0180). Findings will be shared with academics, policymakers, children and families affected by childhood cancer, and published in journals. Code/metadata will be shared on ECHILD GitHub repository.
The aim of this integrative review is to critically appraise and synthesise empirical evidence on the clinical applications, outcomes, and implications of generative artificial intelligence in nursing practice.
Integrative review following Whittemore and Knafl's five-stage framework.
Systematic searches were performed for peer-reviewed articles and book chapters published between 1 January 2018 and 30 June 2025. Two reviewers independently screened titles/abstracts and full texts against predefined inclusion/exclusion criteria focused on generative artificial intelligence tools embedded in nursing clinical workflow (excluding nursing education-only applications). Data were extracted into a standardised matrix and appraised for quality using design-appropriate checklists. Guided by Whittemore and Knafl's integrative review framework, a constant comparative analysis was applied to derive the main themes and subthemes.
CINAHL, MEDLINE, and Embase.
Included literature was a representative mix of single-group quality improvement pilots, mixed-method usability and feasibility studies, randomised controlled trials, qualitative descriptive and phenomenological studies, as well as preliminary and proof-of-concept observational research. Four overarching themes emerged: (1) Workflow Integration and Efficiency, (2) AI-Augmented Clinical Reasoning, (3) Patient-Facing Communication and Education, and (4) Role Boundaries, Ethics and Trust.
Generative artificial intelligence holds promise for enhancing nursing efficiency, supporting clinical decision making, and extending patient communication. However, consistent human validation, ethical boundary setting, and more rigorous, longitudinal outcome and equity evaluations are essential before widespread clinical adoption.
Although generative artificial intelligence could reduce nurses' documentation workload and routine decision-making burden, these gains cannot be assumed. Safe and effective integration will require rigorous nurse training, robust governance, transparent labelling of AI-generated content, and ongoing evaluation of both clinical outcomes and equity impacts. Without these safeguards, generative artificial intelligence risks introducing new errors and undermining patient safety and trust.
PRISMA 2020.
To examine residential aged care staff's experience of death and grief, and their support needs.
A mixed-methods sequential explanatory design, using an online cross-sectional survey that included the Texas Revised Inventory of Grief and the Grief Support in Health Care Scale. Followed by semi-structured interviews with direct care workers and managers working in residential aged care homes were conducted.
Over 60% of participants experienced five or more resident deaths in the previous 12 months. Although, different levels of grief were experienced among different roles, the importance of open communication and opportunities for farewells after resident death was highlighted. Participants suggested support and education to normalise grief and promote self-care.
Recognising staff grief following the resident death is important. Providing support and education may help improve staff wellbeing and contribute to the delivery of high-quality care for both residents and their families.
Staff grief after a resident death needs to be recognised, and continuing education and support are required for their wellbeing.
The STROBE and SRQR checklists were applied.
No Patient or Public contribution.
by Stefan Saverimuttu, Kate McInnes, Kristin Warren, Lian Yeap, Stuart Hunter, Brett Gartrell, An Pas, James Chatterton, Bethany Jackson
The ability to efficiently derive insights from wildlife necropsy data is essential for advancing conservation and One Health objectives, yet close reading remains the mainstay of knowledge retrieval from ubiquitous free-text clinical data. This time-consuming process poses a barrier to the efficient utilisation of such valuable resources. This study evaluates part of a bespoke text-mining application, DEE (Describe, Explore, Examine), designed for extracting insights from free-text necropsy reports housed in Aotearoa New Zealand’s Wildbase Pathology Register. A pilot test involving nine veterinary professionals assessed DEE’s ability to quantify the occurrence of four clinicopathologic findings (external oiling, trauma, diphtheritic stomatitis, and starvation) across two species datasets by comparison to manual review. Performance metrics—recall, precision, and F1-score—were calculated and analysed alongside tester-driven misclassification patterns. Findings reveal that while DEE (and the principals underlying its function) offers time-efficient data retrieval, its performance is influenced by search term selection and the breadth of vocabulary which may describe a clinicopathologic finding. Those findings characterized by limited terminological variance, such as external oiling, yielded the highest performance scores and the most consistency across application testers. Mean F1-scores across all tested findings and application testers was 0.63–0.93. Results highlight the utility and limitations of term-based text-mining approaches and suggests that enhancements to automatically capture this terminological variance may be necessary for broader implementation. This pilot study highlights the potential of relatively simple, rule-based text-mining approaches to derive insights natural language wildlife data in the support of One Health goals.Artificial intelligence (AI)-based clinical decision support systems (CDSSs) are currently being developed to aid prescribing in primary care. There is a lack of research on how these systems will be perceived and used by healthcare professionals and subsequently on how to optimise the implementation process of AI-based CDSSs (AICDSSs).
To explore healthcare professionals’ perspectives on the use of an AICDSS for prescribing in co-existing multiple long-term conditions (MLTC), and the relevance to shared decision making (SDM).
Qualitative study using template analysis of semistructured interviews, based on a case vignette and a mock-up of an AICDSS.
Healthcare professionals prescribing for patients working in the English National Health Service (NHS) primary care in the West Midlands region.
A purposive sample of general practitioners/resident doctors (10), nurse prescribers (3) and prescribing pharmacists (2) working in the English NHS primary care.
The proposed tool generated interest among the participants. Findings included the perception of the tool as user friendly and as a valuable complement to existing clinical guidelines, particularly in a patient population with multiple long-term conditions and polypharmacy, where existing guidelines may be inadequate. Concerns were raised about integration into existing clinical documentation systems, medicolegal aspects, how to interpret findings that were inconsistent with clinical guidelines, and the impact on patient-prescriber relationships. Views differed on whether the tool would aid SDM.
AICDSSs such as the OPTIMAL tool hold potential for optimising pharmaceutical treatment in patients with MLTC. However, specific issues related to the tool need to be addressed and careful implementation into the existing clinical practice is necessary to realise the potential benefits.
Retinal neurodegeneration has recently been shown to occur in tandem with neurodegenerative disease. In the expectation that disease-modifying treatments for Alzheimer’s disease (AD) and Parkinson’s disease (PD) will soon become available, it will be important to have clinically useful biomarkers for neurodegenerative disease subtyping to guide early diagnosis, inform on prognosis and stratify subgroups for treatment. Understanding differences in detectable retina changes in individuals with different neurodegenerative disease subtypes is therefore fundamental. The emerging field of oculomics posits that systemic and neurodegenerative disease can be characterised using detectable ocular biomarkers within retinal diagnostics. The aim of this review is to compare the performance of common retinal imaging modalities in neurodegenerative disease detection and subtyping.
This protocol has been reported in accordance with the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols) guidelines. A comprehensive literature search will be conducted in PubMed, Web of Science and Scopus. Eligible studies will have reported using retinal diagnostic tools defined as optical coherence tomography (OCT), OCT angiography (OCTA), colour fundus photography (CFP) and electroretinography (ERG) in individuals with neurodegenerative diseases, including AD, PD, dementia with Lewy bodies, frontotemporal dementia, vascular dementia and mild cognitive impairment. There will be no time restrictions placed in these searches. Studies not written in English, not peer-reviewed and grey literature will be excluded. Screening for eligible studies and data extraction will be conducted by two independent reviewers, using predefined inclusion criteria. Any disagreements between the reviewers will be settled by discussion, and if required, third senior reviewer arbitration. The systematic review primary outcome is the performance of retinal diagnostics, namely OCT, OCTA, CFP and ERG in the detection and subtyping of aforementioned neurodegenerative diseases. The secondary outcome is to evaluate the association between changes in retinal diagnostic features (eg, retinal layer thicknesses) and neurodegenerative disease subtypes. The quality of the included studies will be assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluations) tool. A narrative synthesis approach will be used to analyse the results, with meta-analysis performed if there is sufficient data.
Ethical approval for this manuscript is not required, as this is a protocol for a systematic review and therefore no data are to be collected. Findings for this systematic review will be disseminated as a peer-reviewed publication and presentations at national and international symposiums including International Lewy Body Dementia Conference, International Congress of Parkinson’s Disease and Movement Disorders, The Association for Research in Vision and Ophthalmology.
CRD42023434024.
FreshRSS 