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To explore and compare the didactic approaches to practical skills learning at simulation centres in Scandinavian universities and university colleges.
Academic simulation centres are an important arena for learning practical nursing skills which are essential to ensure competent performance regarding patient safety and quality of care. Knowledge of didactic approaches to enhance learning is essential in promoting the provision and retention of students' practical nursing skills. However, research on didactical approaches to practical nursing skills learning is lacking.
A qualitative comparative design was used.
During November and December 2019, interviews were conducted with a total of 37 simulation centre directors or assistant directors, each of whom possessed in-depth knowledge of practical skills in teaching and learning. They represented bachelor nursing education in Denmark, Norway and Sweden. A qualitative deductive content analysis was conducted.
The results revealed all five predetermined didactical components derived from the didactical relationship model. Twenty-two corresponding categories that described a variation in didactic approaches to practical skills learning in Scandinavian nursing simulation centres were identified. The didactical components of Learning process revealed mostly similarities, Setting mostly differences and Assessment showed only differences in didactic approaches.
Although various didactic approaches were described across the countries, no common approach was found. Nursing educational institutions are encouraged to cooperate in developing a shared understanding of how didactic approaches can enhance practical skills learning.
Cross-country comparisons of practical nursing skills learning in Scandinavian countries highlight the importance of educator awareness concerning the impact diverse didactic approaches may have on competent performance in nursing education. Competent performance is pivotal for ensuring patient safety and the provision of high-quality care.
No Patient or Public Contribution.
This study followed the Consolidated Criteria for Reporting Qualitative Research reporting guidelines.
The need for public research funding to be more accountable and demonstrate impact beyond typical academic outputs is increasing. This is particularly challenging and the science behind this form of research is in its infancy when applied to collaborative research funding such as that provided by the Australian National Health and Medical Research Council to the Centre for Research Excellence in Digestive Health (CRE-DH).
In this paper, we describe the protocol for applying the Framework to Assess the Impact from Translational health research to the CRE-DH. The study design involves a five-stage sequential mixed-method approach. In phase I, we developed an impact programme logic model to map the pathway to impact and establish key domains of benefit such as knowledge advancement, capacity building, clinical implementation, policy and legislation, community and economic impacts. In phase 2, we have identified and selected appropriate, measurable and timely impact indicators for each of these domains and established a data plan to capture the necessary data. Phase 3 will develop a model for cost–consequence analysis and identification of relevant data for microcosting and valuation of consequences. In phase 4, we will determine selected case studies to include in the narrative whereas phase 5 involves collation, data analysis and completion of the reporting of impact.
We expect this impact evaluation to comprehensively describe the contribution of the CRE-DH for intentional activity over the CRE-DH lifespan and beyond to improve outcomes for people suffering with chronic and debilitating digestive disorders.
This impact evaluation study has been registered with the Hunter New England Human Research Ethics Committee as project 2024/PID00336 and ethics application 2024/ETH00290. Results of this study will be disseminated via medical conferences, peer-reviewed publications, policy submissions, direct communication with relevant stakeholders, media and social media channels such as X (formely Twitter).
Subjects with schizophrenia have a 2–3 fold higher mortality rate than the general population and a reduced life expectancy of 10–20 years. Approximately one-third of this excess mortality has been attributed to obesity-related type 2 diabetes (T2D) and to cardiovascular disease. Glucagon-like peptide-1 (GLP-1) analogues increase satiety and delay gastric emptying, thereby reducing food intake and weight. GLP-1 analogues also exert beneficial effects on cardiovascular outcomes in high-risk patients with T2D.
Our aim is to investigate whether 30 weeks add-on treatment with the GLP-1 analogue semaglutide can reduce HbA1c sufficiently to reverse pre-diabetes and the metabolic syndrome in overweight schizophrenic patients.
We will perform a 30 week, two-armed, multicentre, superiority, double-blinded, randomised trial investigating the effect of weekly injections of semaglutide versus placebo in mental health facilities in Region of Southern Denmark and Region of Zealand, Denmark. In total, 154 adults with schizophrenia spectrum disease, aged 18–60 years treated with second generation antipsychotic treatment, HbA1c 39–47 mmol/mol and body mass index >27 kg/m2 will be randomised to injections of 1.0 mg semaglutide or placebo. The primary outcome is changes in HbA1c. Secondary outcomes encompass metabolic measures, psychotic symptoms and quality of life. Exploratory outcomes encompass insulin sensitivity, cardiovascular risk profile, medication adherence, general well-being and physical activity.
This study will be carried out in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines. This research has obtained approval from both the Danish Medicines Agency and The Regional Committees on Health Research Ethics for Southern Denmark.
NCT05193578 European Clinical Trials Database Number (EudraCT) 2020-004374-22, Regional Ethical Committee number S-20200182.
The intent of the PICOT (i.e., Population, Intervention, Comparison, Outcome, Time) method is to formulate focused clinical questions to facilitate the discovery of relevant evidence through systematic searching, with the components of the question serving as the foundation for the search. Doctor of Nursing Practice (DNP) graduates use evidence-based practices to institute changes in their organizations' systems and policies, thereby yielding positive effects on both patient and system outcomes. Given that the clinical question is the foundation of the evidence-based practice process, DNP graduates' competence in the PICOT method needs to be better understood.
This analysis aimed to describe how DNP students used the PICOT method to ask clinical questions in their DNP projects.
Project questions were retrieved from a subset (n = 129, 60.56%) of an existing national random sample of publicly available DNP projects spanning the years 2010 to 2021 from Commission on Collegiate Nursing Education-accredited schools (n = 213). Project questions using the PICOT method were further evaluated with a scoring system of 0 = no and 1 = yes for missing elements, formatting, directional outcome, and project purpose. Possible scores ranged from 0 to 8, with higher scores indicating more errors. Discussion among five researchers, until agreement was achieved, yielded consensus.
Although the PICOT method was project author-identified in 66 (31.0%) projects, only four (6%) followed the PICOT method. All 66 (100%) were intervention questions. There were 2.74 (SD 1.55) mean errors, ranging from 0 to 6. No questions were missing P or O. Specific errors included missing I 3 (4.5%) or missing C 37 (56%), poor formatting 34 (51.5%), directional outcome 44 (66.7%), and project purpose 38 (57.6%). Thirty-three (50%) of the questions were missing T; however, T is not used for searching, so researchers recalculated the mean error without T (M = 2.24, SD = 1.28, range 0–5).
Gaps in the accurate use of the PICOT method to construct clinical questions can lead to biased searches, inaccurate clinical problem identification, and, when used as the project purpose, jumping to non-evidence-based solutions. Academic faculty and clinical educators can mitigate these skewed outcomes and enhance their impact on quality outcomes by helping DNP-prepared nurses shore up this foundational skill.
To examine the positive motivational paths from perceived autonomy-supportive leadership, and the negative motivational paths from perceived controlling leadership to satisfaction and frustration of basic psychological needs, work motivation, work performance, work engagement and somatic symptom burden among nurses using Self-Determination Theory.
The study used a cross-sectional design mapping nurses' perceptions of the various study variables through a survey.
Nurses working in the municipal healthcare in Norway were recruited through an electronic questionnaire sent out via a link to their emails between 29th of August and 29th of September 2020. Of them, 219 nurses completed the questionnaire. Study hypotheses were tested using structural equation modelling.
Higher levels of perceived autonomy-supportive leadership were associated with reduced levels of somatic symptom burden and increased levels of work performance and work engagement through the satisfaction of basic psychological needs and autonomous motivation, specifically identified regulation and intrinsic motivation. Perceptions of controlling leadership were associated with heightened levels of somatic symptom burden through basic psychological need frustration, amotivation and introjected motivation, along with lower levels of work engagement through need frustration and amotivation.
This study underscores the positive motivational paths of perceived autonomy-supportive leadership on nurses' work performance and wellbeing through the facilitation of basic psychological need satisfaction and autonomous motivation. Conversely, the study highlights negative motivational paths of perceived controlling leadership on reduced work engagement and heightened ill-being through the basic psychological need frustration, controlled motivation and amotivation.
This study provides insights and actionable recommendations for nurses and their leaders, emphasizing the significance of understanding the adverse impact associated with perceived controlling leadership. The findings underscore the importance of addressing these issues to mitigate detrimental effects on motivation and overall work functioning.
No patient or public contribution.
Purrble, a socially assistive robot, was codesigned with children to support in situ emotion regulation. Preliminary evidence has found that LGBTQ+ youth are receptive to Purrble and find it to be an acceptable intervention to assist with emotion dysregulation and their experiences of self-harm. The present study is designed to evaluate the impact of access to Purrble among LGBTQ+ youth who have self-harmful thoughts, when compared with waitlist controls.
The study is a single-blind, randomised control trial comparing access to the Purrble robot with waitlist control. A total of 168 LGBTQ+ youth aged 16–25 years with current self-harmful ideation will be recruited, all based within the UK. The primary outcome is emotion dysregulation (Difficulties with Emotion Regulation Scale-8) measured weekly across a 13-week period, including three pre-deployment timepoints. Secondary outcomes include self-harm (Self-Harm Questionnaire), anxiety (Generalised Anxiety Disorder-7) and depression (Patient Health Questionnaire-9). We will conduct analyses using linear mixed models to assess primary and secondary hypotheses. Intervention participants will have unlimited access to Purrble over the deployment period, which can be used as much or as little as they like. After all assessments, control participants will receive their Purrble, with all participants keeping the robot after the end of the study. After the study has ended, a subset of participants will be invited to participate in semistructured interviews to explore engagement and appropriation of Purrble, considering the young people’s own views of Purrble as an intervention device.
Ethical approval was received from King’s College London (RESCM-22/23-34570). Findings will be disseminated in peer review open access journals and at academic conferences.
by Mia Scholten, Jason Davidge, Björn Agvall, Anders Halling
BackgroundHeart failure (HF) commonly arises as a complication to cardiovascular diseases and is closely associated with various comorbidities. The impacts of these comorbidities in patients with HF are diverse. We aimed to analyze the increased risk for cardiovascular-related readmission within 100 days after discharge in patients with HF depending on their different comorbidities.
MethodsA population-based retrospective study was conducted in Region Halland with 5029 patients admitted to hospital with a diagnosis of HF during 2017–2019. The occurrence and number of comorbidities were recorded. Competing risk regression was employed to analyze the hazard ratio (HR) of 10 comorbidities for cardiovascular-related readmission within 100 days after discharge. A composite measure of the 10 common comorbidities was constructed with the comorbidities as dichotomous indicator variables and Rasch analysis. Receiver operating characteristic (ROC) and area under curve (AUC) after logistic regression were used to estimate how well the model explained the probability of death or readmission within 100 days after discharge according to their individual comorbidity level.
ResultsHF patients with atrial fibrillation, chronic obstructive pulmonary disease, chronic kidney disease, peripheral artery disease or diabetes mellitus as comorbidities had an increased HR for readmission within 100 days after discharge. When these comorbidities were adjusted together, only atrial fibrillation, chronic kidney disease and chronic obstructive pulmonary disease had an increased HR for readmission. ROC analysis after the most complete models using logistic regression with the comorbidities as dichotomous indicator variables or Rasch analysis had a low AUC.
ConclusionsAtrial fibrillation, chronic kidney disease or chronic obstructive pulmonary disease were significantly associated with increased risk for readmission in HF patients, but ROC analysis showed a low AUC, which indicates that other factors are more important for predicting the increased risk of readmission.
by Ashley G. Holtz, Troy L. Lowe, Yusuke Aoki, Yutaro Kubota, Robert M. Hoffman, Steven G. Clarke
The methionine addiction of cancer cells is known as the Hoffman effect. While non-cancer cells in culture can utilize homocysteine in place of methionine for cellular growth, most cancer cells require exogenous methionine for proliferation. It has been suggested that a biochemical basis of this effect is the increased utilization of methionine for S-adenosylmethionine, the major methyl donor for a variety of cellular methyltransferases. Recent studies have pointed to the role of S-adenosylmethionine-dependent protein arginine methyltransferases (PRMTs) in cell proliferation and cancer. To further understand the biochemical basis of the methionine addiction of cancer cells, we compared protein arginine methylation in two previously described isogenic cell lines, a methionine-addicted 143B human osteosarcoma cell line and its less methionine-dependent revertant. Previous work showed that the revertant cells were significantly less malignant than the parental cells. In the present study, we utilized antibodies to detect the asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA) products of PRMTs in polypeptides from cellular extracts and purified histone preparations of these cell lines fractionated by SDS-PAGE. Importantly, we observed little to no differences in the banding patterns of ADMA- and SDMA-containing species between the osteosarcoma parental and revertant cell lines. Furthermore, enzymatic activity assays using S-adenosyl-ʟ-[methyl-3H] methionine, recombinantly purified PRMT enzymes, cell lysates, and specific PRMT inhibitors revealed no major differences in radiolabeled polypeptides on SDS-PAGE gels. Taken together, these results suggest that changes in protein arginine methylation may not be major contributors to the Hoffman effect and that other consequences of methionine addiction may be more important in the metastasis and malignancy of osteosarcoma and potentially other cancers.To understand the experiences of HIV nurses in the context of ambivalence between biomedical treatment advancements and the continuing burden for people living with HIV and negative representations of HIV.
An interpretative phenomenological study was conducted using in-depth interviews.
Twenty-one interviews with nurses were conducted between November 2021 and March 2022. A thematic analysis was performed.
Six themes related to the nurses' experiences emerged. Despite effective treatment for most people with HIV, nurses identify patient populations that require additional care. Nurses are flexible in making extra appointments to accommodate complex issues in these patients. Nurses develop a unique relationship with their patients based on trust and empathy, linked to patient's experiences with stigma and discrimination for people with HIV. Nurses perceive their tasks as becoming increasingly complex. There is explicit awareness about the changes in HIV care from acute to chronic care and how this affects nurses' tasks. Nurses continue to differentiate HIV from other chronic conditions.
Biomedical advancements change the organization of HIV care while public health concerns remain and patient population has particular needs due to negative social representations of HIV. Nurses navigate these issues in their everyday care.
A potential re-evaluation of the role of nurses in providing chronic HIV care.
Our study addresses the roles of HIV nurses as care is shifting towards chronic care models. The unique relationship between nurses and patients is key in understanding the importance of nurses in the care trajectory. These findings impact the institutional role of nurses in HIV treatment centres and the institutional organization of HIV care.
The COREQ guideline was used.
Amsterdam UMC (AMC) staff, the national organization of HIV Nurses and patient organizations contributed to the study design.
Early identification of lung cancer on chest radiographs improves patient outcomes. Artificial intelligence (AI) tools may increase diagnostic accuracy and streamline this pathway. This study evaluated the performance of commercially available AI-based software trained to identify cancerous lung nodules on chest radiographs.
This retrospective study included primary care chest radiographs acquired in a UK centre. The software evaluated each radiograph independently and outputs were compared with two reference standards: (1) the radiologist report and (2) the diagnosis of cancer by multidisciplinary team decision. Failure analysis was performed by interrogating the software marker locations on radiographs.
5722 consecutive chest radiographs were included from 5592 patients (median age 59 years, 53.8% women, 1.6% prevalence of cancer).
Compared with radiologist reports for nodule detection, the software demonstrated sensitivity 54.5% (95% CI 44.2% to 64.4%), specificity 83.2% (82.2% to 84.1%), positive predictive value (PPV) 5.5% (4.6% to 6.6%) and negative predictive value (NPV) 99.0% (98.8% to 99.2%). Compared with cancer diagnosis, the software demonstrated sensitivity 60.9% (50.1% to 70.9%), specificity 83.3% (82.3% to 84.2%), PPV 5.6% (4.8% to 6.6%) and NPV 99.2% (99.0% to 99.4%). Normal or variant anatomy was misidentified as an abnormality in 69.9% of the 943 false positive cases.
The software demonstrated considerable underperformance in this real-world patient cohort. Failure analysis suggested a lack of generalisability in the training and testing datasets as a potential factor. The low PPV carries the risk of over-investigation and limits the translation of the software to clinical practice. Our findings highlight the importance of training and testing software in representative datasets, with broader implications for the implementation of AI tools in imaging.
Digital health is now routinely being applied in clinical care, and with a variety of clinician-facing systems available, healthcare organisations are increasingly required to make decisions about technology implementation and evaluation. However, few studies have examined how digital health research is prioritised, particularly research focused on clinician-facing decision support systems. This study aimed to identify criteria for prioritising digital health research, examine how these differ from criteria for prioritising traditional health research and determine priority decision support use cases for a collaborative implementation research programme.
Drawing on an interpretive listening model for priority setting and a stakeholder-driven approach, our prioritisation process involved stakeholder identification, eliciting decision support use case priorities from stakeholders, generating initial use case priorities and finalising preferred use cases based on consultations. In this qualitative study, online focus group session(s) were held with stakeholders, audiorecorded, transcribed and analysed thematically.
Fifteen participants attended the online priority setting sessions. Criteria for prioritising digital health research fell into three themes, namely: public health benefit, health system-level factors and research process and feasibility. We identified criteria unique to digital health research as the availability of suitable governance frameworks, candidate technology’s alignment with other technologies in use,and the possibility of data-driven insights from health technology data. The final selected use cases were remote monitoring of patients with pulmonary conditions, sepsis detection and automated breast screening.
The criteria for determining digital health research priority areas are more nuanced than that of traditional health condition focused research and can neither be viewed solely through a clinical lens nor technological lens. As digital health research relies heavily on health technology implementation, digital health prioritisation criteria comprised enablers of successful technology implementation. Our prioritisation process could be applied to other settings and collaborative projects where research institutions partner with healthcare delivery organisations.
To refine the Rushton Moral Resilience Scale (RMRS) by creating a more concise scale, improving the reliability, particularly of the personal integrity subscale and providing further evidence of validity.
Healthcare workers are exposed to moral adversity in practice. When unable to preserve/restore their integrity, moral suffering ensues. Moral resilience is a resource that may mitigate negative consequences. To better understand mechanisms for doing so, a valid and reliable measurement tool is necessary.
Cross-sectional survey.
Participants (N = 1297) had completed ≥1 items on the RMRS as part of the baseline survey of a larger longitudinal study. Item analysis, confirmatory factor analyses, reliability analyses (Cronbach's alpha), and correlations were used to establish reliability and validity of the revised RMRS.
Item and confirmatory factor analysis were used to refine the RMRS from 21 to 16 items. The four-factor structure (responses to moral adversity, personal integrity, relational integrity and moral efficacy) demonstrated adequate fit in follow-up confirmatory analyses in the initial and hold-out sub-samples. All subscales and the total scale had adequate reliabilities (α ≥ 0.70). A higher-order factor analysis supports the computation of either subscale scores or a total scale score. Correlations of scores with stress, anxiety, depression and moral distress provide evidence of the scale's validity. Reliability of the personal integrity subscale improved.
The RMRS-16 demonstrates adequate reliability and validity, particularly the personal integrity subscale. Moral resilience is an important lever for reducing consequences when confronted with ethical challenges in practice. Improved reliability of the four subscales and having a shorter overall scale allow for targeted application and will facilitate further research and intervention development.
Data came from a larger study of Canadian healthcare workers from multiple healthcare organizations who completed a survey about their experiences during COVID-19.
FreshRSS 