Problem oriented charting: the educational and implementation challenge.
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Education, Nursing, Continuing↗
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Theory implementation: a challenging journey.
Many hospitals are struggling with the implementation of a theory-based practice. Governing organizations in nursing (CNA and provincial bodies) have mandated theory as the guide for the future direction of our profession. This implementation process is a new and somewhat tenuous undertaking. There are pitfalls to be recognized, reckoned with and surmounted. There are numerous approaches to adoption of a theoretical framework. A large Metropolitan Toronto hospital forged ahead, perhaps a little eagerly, with the implementation of a specific conceptual framework (I. King, 1981). In retrospect, some time spent in teaching the foundations of theory and a more generalized approach to its value, may have helped nurses to accept and assimilate the worth of theory-based practice. An evaluation of how the implementation process was progressing brought about this observation and article.
Decision Making, Organizational↗
Heterogeneity of azithromycin resistance markers in Neisseria gonorrhoeae and challenges in implementing molecular assays for routine surveillance.
Neisseria gonorrhoeae is the second most prevalent bacterial sexually transmitted infection and a major contributor to the global antimicrobial resistance crisis. The World Health Organization (WHO) has designated N. gonorrhoeae as a high-priority pathogen due to its resistance to nearly all empirically recommended therapies. While dual therapy with ceftriaxone and azithromycin initially demonstrated efficacy, the rapid global rise in azithromycin resistance over the past five years threatens the efficacy of this regimen. Resistance mechanisms, including mutations in the 23S rRNA gene and overexpression of the MtrCDE efflux pump, are highly heterogeneous, complicating molecular diagnostic efforts. This review examines the evolving landscape of azithromycin resistance, highlighting key mechanisms of resistance, and recent epidemiological and genomic surveillance data. We discuss challenges in implementing molecular assays for routine resistance monitoring due to molecular heterogeneity in azithromycin resistance markers and emphasize the critical need for tailored approaches based on local genetic epidemiology. Enhanced surveillance and molecular diagnostics are essential to sustaining effective treatment strategies and combating gonococcal resistance.
Antimicrobial resistance↗
Information systems technology: barriers and challenges to implementation.
Nurses, like other professionals, manage massive amounts of information. Without adequate means to process that data, neither the profession, the industry, nor the public will achieve all the benefits of contemporary health care. The authors highlight barriers to and strategies for increasing the use and effectiveness of health care information systems.
Curriculum↗
Clinical applications of digital twin technology in In Vitro Fertilisation.
BACKGROUND: Digital twin technology, originating from aerospace and manufacturing industries, has emerged as a transformative tool in healthcare. In vitro fertilisation (IVF) faces persistent challenges including suboptimal embryo selection, unpredictable treatment outcomes, and limited personalisation of protocols. Despite advances in assisted reproductive technology, existing literature exhibits fragmentation: artificial intelligence applications in embryo selection, ovarian stimulation, and endometrial assessment have been developed independently without systematic integration into comprehensive treatment frameworks. Digital twin technology offers unprecedented opportunities to create virtual replicas of biological systems, enabling real-time monitoring, predictive modelling, and personalised treatment strategies. AIM: This narrative review aims to critically examine the current applications of digital twin technology in IVF, evaluate its potential benefits and limitations, synthesize existing evidence into an integrative conceptual model, and identify future directions for implementation in reproductive medicine. METHOD: A comprehensive narrative review was conducted using PubMed, Scopus, Web of Science, and IEEE Xplore databases. A narrative review approach was selected over systematic review to accommodate the heterogeneity of evidence types in this emerging field, including theoretical frameworks, simulation studies, and proof-of-concept implementations that would be excluded from systematic reviews. Search terms included "digital twin," "IVF," "in vitro fertilisation," "assisted reproductive technology," "embryo selection," and "predictive modelling." Studies published between 2015 and 2025 were included, focusing on original research articles, systematic reviews, and proof-of-concept studies describing digital twin applications in reproductive medicine. RESULTS: Digital twin technology in IVF demonstrates significant potential across multiple domains including embryo development simulation, ovarian response prediction, endometrial receptivity modelling, and personalised stimulation protocols. Current applications integrate artificial intelligence, machine learning algorithms, time-lapse imaging, and omics data to create comprehensive virtual models. Early evidence suggests improvements in embryo selection accuracy, ovarian response prediction, and treatment protocol optimization, though large-scale randomized controlled trials remain limited. Implementation challenges include data integration complexity, computational requirements, regulatory considerations, and validation requirements. CONCLUSION: Digital twin technology represents a paradigm shift in IVF practice, offering personalised, predictive, and precision medicine approaches. This review synthesizes existing evidence to propose an integrative conceptual model for digital twin implementation across the IVF treatment spectrum, identifies critical knowledge gaps, and establishes research priorities to advance clinical translation. Despite current limitations, continued advancement promises improved success rates and patient outcomes.
Humans↗
Artificial intelligence for translational personalized neoantigen cancer vaccine development.
Personalized neoantigen cancer vaccine is a promising strategy for precision immunotherapy by targeting patient-specific and mutation-derived tumor antigens. Early clinical studies have demonstrated the feasibility, safety, and immunogenicity of these vaccines across multiple solid tumors, with encouraging outcomes particularly when combined with immune checkpoint blockade. However, broader clinical translation remains limited by sequential bottlenecks across the vaccine development pipeline, including false-positive neoantigen selection,  imperfect modeling of antigen processing and HLA presentation, limited prediction of T-cell receptor recognition, and challenges in formulation, delivery, and manufacturing. Artificial intelligence and advanced computational workflows are increasingly integrated into this pipeline to improve candidate prioritization and support more reproducible decision-making. In this review, we summarize clinical progress and key translational barriers in personalized neoantigen vaccination, and discuss how AI-enabled approaches may contribute across four major stages: multi-omics integration for neoantigen discovery, processing-aware HLA presentation prediction, structure-aware and TCR-informed immunogenicity modeling, and data-driven formulation optimization, particularly for lipid nanoparticle-based delivery systems. These approaches are able to help narrow biological and chemical search spaces, improve prioritization, and provide mechanistic insights into antigen presentation and immune recognition rather than replacing experimental validation. This articlefurther addresses future implementation challenges, including dataset diversity, model interpretability, prospective benchmarking, manufacturing traceability, and evolving regulatory frameworks for individualized mRNA cancer immunotherapies. Integrating computational innovation with rigorous immunological validation, scalable manufacturing, and regulatory oversight will be essential for advancing personalized neoantigen vaccines toward broader clinical implementation.
Cancer Vaccines↗
Digital twins in precision pharmacotherapy: emerging applications, challenges, and future directions.
Digital twin technology, defined as dynamic digital models that represent individual patients, is emerging as a promising paradigm in precision pharmacotherapy. The integration of pharmacokinetic and pharmacodynamic (PK/PD) modeling, clinical data, genomic information, and real-time patient monitoring enables digital twins to shift drug therapy away from population-based averages toward individualized, adaptive decisions. This narrative review explores conceptual frameworks, emerging applications, methodological approaches, clinical value, limitations, and future directions of digital twins in pharmacotherapy, with particular emphasis on the role of clinical pharmacists. Unlike broader digital twin reviews that primarily emphasize technical architectures, disease-specific applications, or pharmaceutical research and development, this review focuses on the clinical-pharmacy translation layer: how digital twin outputs can be interpreted, validated, communicated, and converted into actionable medication decisions at the bedside and across ambulatory care settings. Key applications include precision dosing, polypharmacy management, antimicrobial stewardship, and the optimization of complex therapies, alongside important ethical, regulatory, and implementation challenges.
clinical pharmacy↗
The expected polygenic risk score (ePRS) framework: an equitable metric for quantifying polygenetic risk via modeling of ancestral makeup.
Polygenic risk scores (PRSs) depend on genetic ancestry due to differences in allele frequencies between ancestral populations. This leads to implementation challenges in diverse populations. We propose a framework to calibrate PRS based on ancestral makeup. We define a metric called "expected PRS" (ePRS), the expected value of a PRS based on one's global or local admixture patterns. We further define the "residual PRS" (rPRS), measuring the deviation of the PRS from the ePRS. Simulation studies confirm that it suffices to adjust for ePRS to obtain nearly unbiased estimates of the PRS-outcome association without further adjusting for PCs. Using the TOPMed dataset, the estimated effect size of the rPRS adjusting for the ePRS is similar to the estimated effect of the PRS adjusting for genetic PCs. Similarly, we applied the ePRS framework to six cardiovascular-related traits in the All of Us dataset, and the results are consistent with those from the TOPMed analysis. The ePRS framework can protect from population stratification in association analysis and provide an equitable strategy to quantify genetic risk across diverse populations.
Journal Article↗
Implementing Prolonged Exposure Therapy in a Community Substance Use Treatment Program: A Qualitative Study.
INTRODUCTION: Post-traumatic stress disorder (PTSD) commonly co-occurs with substance use disorders (SUD), yet few community-based SUD programs incorporate evidence-based trauma-focused. Prolonged exposure (PE), including its massed format (M-PE) with session frequency of 3-4 times per week, is a gold standard intervention for PTSD; however, concerns about client readiness, logistical demands and relapse risk have limited its adoption within SUD settings. This study examined staff perspectives on the feasibility and acceptability of integrating M-PE into a community-based SUD program. METHODS: Prior to launching a Hybrid Type 1 effectiveness-implementation trial (Project COMET), we conducted semi-structured virtual interviews with 15 community clinic staff: providers (n = 8), administrators (n = 2) and peer specialists (n = 5). Interviews were recorded, transcribed and analysed using a rapid qualitative analysis framework with matrix techniques to compare themes across roles. RESULTS: Four overarching themes captured staff perspectives on integrating M-PE: (Theme 1) Prior Knowledge and Experiences: Most staff were familiar with EMDR, while direct knowledge of PE/M-PE was limited. (Theme 2) Perceptions of M-PE: M-PE was widely viewed as a promising, structured intervention that fits the pacing and duration of SUD care. (Theme 3) Symptom Reduction and Client Impact: Staff anticipated improvements in PTSD and SUD symptoms through trauma-focused treatment. (Theme 4) Barriers and Constraints: Participants identified several potential implementation challenges, including logistical barriers and client readiness. DISCUSSION AND CONCLUSIONS: Findings suggest that staff generally viewed M-PE favourably but emphasised the importance of ensuring client readiness and organisational support. Enhancing feasibility and long-term sustainability may require expanded psychoeducation, targeted provider training and flexible delivery models. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT06968832.
Adult↗
Process evaluation of a nurse-led transitional care model (Cardiolotse) within a randomized controlled trial aiming to improve care coordination for patients with cardiovascular diseases in Germany.
BACKGROUND: Patients with higher age suffering from cardiovascular disease discharged from hospital are at greater risk of readmission within 30 days. We evaluated an innovative care program providing post-discharge support and helping patients to navigate through the healthcare system. This paper reports the findings of the process evaluation of the randomized controlled trial Cardiolotse, a nurse-led transitional care model improving care coordination for patients with cardiovascular diseases in Germany. METHODS: A process evaluation, following the guidelines of the Medical Research Council (MRC) Framework, was performed. Semi-structured interviews with all relevant target groups were conducted to gain more insight about implementation processes. Questionnaires and medical records were used to explore mechanisms of impact and understand how change was produced in the intervention. Qualitative data were analysed using content analysis with deductive and inductive categories. Descriptive statistics and subgroup analyses were utilized to explore quantitative data. RESULTS: Overall, the designed training programme was perceived positively by the study nurses, so called Cardiolotsen (CLs). Patients receiving support by the CLs reported positive satisfaction ratings. Interactions between CLs and patients were reported as trustworthy and reliable. A total of approximately 12,500 contacts were made over the course of the intervention. However, changes in satisfaction scores between intervention and control groups in terms of medical treatment or the interaction between medical health providers involved in the treatment could not be determined. Furthermore, data suggested reach issues with respect to office-based physicians, as regular CL contact could not be achieved with 90% of the participating general practitioners and cardiologists. CONCLUSIONS: The CLs served as an important source of support for the participating patients throughout the intervention. At regular intervals, they checked a patient's health status and their adherence to therapies after discharge. However, the process evaluation identified cross-sectoral communication and information exchange between CLs and office-based physicians as an implementation challenge. TRIAL REGISTRATION: The study was retrospectively registered at German Clinical Trial Register, http://www.drks.de/DRKS00020424 (Trial Registration Number DRKS00020424) on 18 June 2020.
Humans↗
Covering medical care costs for participants in the eMERGE Network: Challenges for equity and implementation.
PURPOSE: To investigate the complexities of covering study-recommended medical care costs for individuals (in order to prevent lack of adherence due to financial reasons), which have received little attention. METHODS: We explored the deliberations, decisions, and challenges faced by the Electronic Medical Records and Genomics (eMERGE) Network during the implementation of a genomic research project recommending clinical care based on high-risk results defined largely by polygenic risk scores. Two surveys were disseminated to eMERGE sites: to identify preferences about payment for specific care recommendations (survey 1) and to understand the operational processes of covering medical care costs (survey 2). RESULTS: Paying for a subset of care recommendations for the funded study duration was identified as the most feasible approach for covering medical care costs for participants who received high-risk genomic results. Each eMERGE site, by necessity, used diverse approaches to pay for medical care costs. CONCLUSION: eMERGE researchers balanced competing concerns about bias, equity, study design, regulatory compliance, and cost in designing a unified approach to cover some of the recommended medical care costs in the study. Many implementation challenges were encountered. Findings can inform researchers and regulatory bodies about the implications and complications of covering medical care costs in translational research studies focused on prevention.
Humans↗
Implementing the Roy model: challenges for nurse educators.
The experience of selecting and implementing a nursing model appropriate to the nursing course in the first year of the generic baccalaureate programme of the University of Ottawa School of Nursing is described. Many challenges surfaced for the professors in year one as this curriculum change was implemented. Four challenges: (1) adapting the course to be congruent with the Roy model, (2) developing teaching tools suitable for student learning, (3) sequencing of content for student learning, and (4) obtaining competent role models, and how they were met, are discussed.
Adaptation, Psychological↗
Asia-Pacific prevention research. CHallenges, opportunities, and implementation.
An effort is underway in the Asia-Pacific region to carry out multidisciplinary prevention research, with an emphasis on understanding health-related behaviors. In partnerships with the U.S. Centers for Disease Control, the U.S. Public Health Service, international health agencies, governments, and universities in the region, researchers at the University of Hawaii are pursuing a paradigm for international, multicultural prevention research in the field of health promotion and disease prevention. An integrated framework for guiding a program of research is discussed along with several factors that present challenges to the conduct of prevention research in the Asia-Pacific region.
Developing Countries↗
Establishing a national pediatric stem cell transplantation registry in Iran addressing implementation and data quality challenges.
The Iranian Pediatric Hematopoietic Stem Cell Transplantation Registry (IPED-HSCT) was established to enhance data collection, improve patient outcomes, and support clinical research in pediatric hematopoietic stem cell transplantation. This study aimed to assess the feasibility and reliability of implementing a standardized registry in pediatric settings. A community-based participatory study was conducted across three pediatric HSCT centers in Iran. The registry development involved a multi-phase approach, including pilot testing and the implementation of a web-based system. Data were collected from fifty pediatric patients who underwent HSCT for both malignant and non-malignant conditions, with a focus on data completeness and user satisfaction. Statistical analyses were performed using IBM SPSS Statistics. The registry achieved a data completeness rate exceeding 90%, with a participant demographic of 31 males (62%) and 19 females (38%). Rigorous quality control measures and real-time validation rules were implemented, enhancing data reliability. User feedback indicated high satisfaction with the platform's design and training sessions. Challenges included variations in long-term follow-up data collection across centers. The IPED-HSCT Registry demonstrates that establishing a robust pediatric HSCT registry is feasible even in resource-limited settings. Its innovative features offer a scalable model for similar initiatives in developing countries. Future research should focus on ensuring long-term sustainability and fostering international collaborations to improve pediatric HSCT outcomes globally. not applicable.
Humans↗
National Commission on Nursing Implementation Project/Advertising Council campaign challenges resistant stereotypes.
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Advertising↗
Brazilian Society of Surgical Oncology Analysis in Cost-Effectiveness of Population-Based BRCA Testing for Ovarian Cancer in the Public Health System.
Although ovarian cancer is the most lethal among gynecological cancers, access to massive BRCA testing is still limited. Its cost-effectiveness is still a topic of discussion in several countries. In Brazil, olaparib was recently incorporated into the public health system, access to BRCA testing is still limited. In this article, we aim to review the cost-effectiveness of offering BRCA testing to the at-risk population. A working group composed of 14 specialists in surgical oncology and cancer genetics was established to discuss the cost-effectiveness of population-based BRCA testing for ovarian cancer. The project was divided into five main areas, each with subtopics assigned among the 14 participants. They were: the existing clinical testing guidelines, the current healthcare infrastructure in the Brazilian public health system, cost-effectiveness analysis, challenges in implementing prophylactic surgeries, and family counseling and risk communication. A comprehensive literature review was conducted, followed by a series of meetings among the article's contributors to reach consensus on unresolved issues. These discussions aimed to build recommendations based on the best available scientific evidence. Using as a basis the current structure already existing within the Brazilian public health service (SUS [Sistema Único de Saude]), and based on the testing of the at-risk population chosen by our experts, we estimated savings. The net savings for a population of 100 000 women would range from BRL 7030.30 (US$1255.41) to BRL 1853.92 (US$331.05). And these costs could have an even greater impact when public service PARP inhibitors are incorporated. The working group of the Brazilian Society of Surgical Oncology understands that large-scale BRCA testing is cost-effective, especially when risk-reducing surgery is implemented. Other measures are important, such as training teams of non-specialists to recognize the population at risk, in addition to creating an entire line of care for patients with ovarian cancer in the SUS.
Humans↗
The Use of Next-Generation Sequencing in Personalized Medicine.
The revolutionary progress in development of next-generation sequencing (NGS) technologies has made it possible to deliver accurate genomic information in a timely manner. Over the past several years, NGS has transformed biomedical and clinical research and found its application in the field of personalized medicine. Here we discuss the rise of personalized medicine and the history of NGS. We discuss current applications and uses of NGS in medicine, including infectious diseases, oncology, genomic medicine, and dermatology. We provide a brief discussion of selected studies where NGS was used to respond to wide variety of questions in biomedical research and clinical medicine. Finally, we discuss the challenges of implementing NGS into routine clinical use.
Humans↗
The feasibility and efficacy of weighted blankets as a sleep intervention for people with behavioural and psychological symptoms of dementia: a pilot randomised crossover trial.
Sleep disturbances contribute to disease progression in dementia and result in reduced quality of life. Non-pharmacological interventions are recommended for the management of sleep and other behavioural and psychological symptoms of dementia (BPSD), although these interventions can be challenging to implement. This pilot study assessed the feasibility and efficacy of weighted blankets as a sleep intervention for people with BPSD in a neurobehavioural unit. Fourteen residents, serving as their own control, slept two weeks with a weighted blanket and two weeks with usual bedding in a crossover trial. The primary outcomes were sleep duration and efficiency, measured via a Withing's sleep analyser and sleep disordered behaviours, measured by the sleep disorder inventory (SDI). Secondary outcomes included responsive behaviours, measured by the Neuropsychiatric index (NPI), falls incidents, restrictive practice incidents and use of pro re nata psychotropic medications. Generalised Estimation Equation (GEE) method was used for analysis. There was no statistical evidence that weighted blankets improved sleep or behavioural outcomes for people with BPSD, however fewer fall incidents, wakings and restrictive practices were reported during weighted blanket use. Weighted blankets were considered feasible and acceptable with high recruitment rates, nil participant withdrawals and no adverse outcomes, however there was variable compliance to the intervention protocol and the Withings did not adequately measure sleep. Whilst there is insufficient effectiveness evidence for further trials, weighted blankets can be offered to people living with dementia as a low risk sleep intervention option, with the caveat that there is currently no effectiveness evidence.
Behavioural Symptoms↗