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Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Early clinical prediction is typically based on manually calculated screening metrics that simply weigh these parameters, such as early warning scores (EWS). The predictive performance of EWSs yields a tradeoff between sensitivity and specificity that can lead to negative outcomes for the patient. Previous work on electronic health records (EHR) trained artificial intelligence (AI) systems offers promising results with high levels of predictive performance in relation to the early, real-time prediction of acute critical illness. However, without insight into the complex decisions by such system, clinical translation is hindered. Here, we present an explainable AI early warning score (xAI-EWS) system for early detection of acute critical illness. xAI-EWS potentiates clinical translation by accompanying a prediction with information on the EHR data explaining it. Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Here, the authors develop an explainable artificial intelligence early warning score system for its early detection.

Quantitative susceptibility mapping (QSM) is based on magnetic resonance imaging (MRI) phase measurements and has gained broad interest because it yields relevant information on biological tissue properties, predominantly myelin, iron and calcium in vivo. Thereby, QSM can also reveal pathological changes of these key components in widespread diseases such as Parkinson's disease, Multiple Sclerosis, or hepatic iron overload. While the ill-posed field-to-source-inversion problem underlying QSM is conventionally assessed by the means of regularization techniques, we trained a fully convolutional deep neural network - DeepQSM - to directly invert the magnetic dipole kernel convolution. DeepQSM learned the physical forward problem using purely synthetic data and is capable of solving the ill-posed field-to-source inversion on in vivo MRI phase data. The magnetic susceptibility maps reconstructed by DeepQSM enable identification of deep brain substructures and provide information on their respective magnetic tissue properties. In summary, DeepQSM can invert the magnetic dipole kernel convolution and delivers robust solutions to this ill-posed problem.

A general circulation ocean model is translated from Fortran to Python. Its code structure is optimized to exploit available Python utilities, remove simulation bottlenecks, and comply with modern best practices. Furthermore, support for Bohrium is added, a framework that provides a just-in-time compiler for array operations and that supports parallel execution on both CPU and GPU targets.For applications containing more than a million grid elements, such as a typical 1∘×1∘ horizontal resolution global ocean model, Veros is approximately half as fast as the MPI-parallelized Fortran base code on 24 CPUs and as fast as the Fortran reference when running on a high-end GPU. By replacing the original conjugate gradient stream function solver with a solver from the pyAMG Python package, this particular subroutine outperforms the corresponding Fortran version by up to 1 order of magnitude.The study is concluded with a simple application in which the North Atlantic wave response to a Southern Ocean wind perturbation is investigated. It is found that even in a realistic setting the phase speeds of boundary waves matched the expectations based on theory and idealized models.

Prostate cancer is a frequently diagnosed cancer and made up 6% of male cancer deaths globally in 2008. Its incidence varies more than 25-fold worldwide, which is primarily attributed to the implementation of the prostate-specific antigen (PSA) test in developed countries. To reduce harm of overdiagnosis, most international guidelines recommend surveillance programmes. However, this approach can entail negative psychosocial consequences from being under surveillance for an (over)diagnosed prostate cancer. To explore men's feelings and experiences in a surveillance programme. Qualitative study with Danish men diagnosed with asymptomatic prostate cancer Gleason score ≤ 6, who are in a surveillance programme 12 semi-structured, individual interviews were conducted and analysed with systematic text condensation and selected theories. Most informants reported that they were astonished at the time of diagnosis. They were aware of the small likelihood of dying from cancer, but in some cases, the uncertainty created ambivalence between knowing and not knowing. The men expressed their risk awareness in different ways: a realization that life does not last forever, uncertainty towards the future, a feeling of powerlessness, and a need for control. The men in this study had substantial psychosocial consequences from being labelled with a cancer diagnosis. Bearing these men's high risk of overdiagnosis in mind, it is important to discuss whether the harms of this diagnosis outweigh the benefits. The psychosocial consequences of being in a prostate cancer surveillance programme should be explored further. KEY POINTS Current awareness: The number of men living with an asymptomatic prostate cancer has increased the last 20 years after the implementation of the PSA test. Main Statements: Men living with an asymptomatic, low-risk prostate cancer experience negative psychocosial consequences GPs should consider the possible negative psychosocial consequences in their decision-making of measuring the PSA level

Objective: This paper investigated patients' experiences of disease and self-care as well as perceptions of the general practitioner's role in supporting patients with impaired self-care ability. Design: Qualitative interviews with 13 patients with type 2 diabetes, concurrent chronic diseases, and impaired self-care ability assessed by a general practitioner. We analyzed our data using systematic text condensation. The shifting perspectives model of chronic illness formed the theoretical background for the study. Results: Although most patients experienced challenges in adhering to recommended self-care activities, many had developed additional, personal self-care routines that increased wellbeing. Some patients were conscious of self-care trade-offs, including patients with concurrent mental disorders who were much more attentive to their mental disorder than their somatic diseases. Patients' perspectives on diseases could shift over time and were dominated by emotional considerations such as insisting on leading a normal life or struggling with limitations caused by disease. Most patients found support in the ongoing relationship with the same general practitioner, who was valued as a companion or appreciated as a trustworthy health informant. Conclusion: Patient experiences of self-care may collide with what general practitioners find appropriate in a medical regimen. Health professionals should be aware of patients' prominent and shifting considerations about the emotional aspects of disease. Patients valued the general practitioner's role in self-care support, primarily through the long-term doctor-patient relationship. Therefore, relational continuity should be prioritized in chronic care, especially for patients with impaired self-care ability who often have a highly complex disease burden and situational context. Key points   Little is known about the perspectives of disease and self-care in patients with a doctor-assessed impaired ability of self-care.   * Although patients knew the prescribed regimen they often prioritized self-care routines that increased well-being at the cost of medical recommendations.   * Shifting emotional aspects were prominent in patients' considerations of disease and sustained GPs' use of a patient-centred clinical method when discussing self-care.   * Relational continuity with general practitioners was a highly valued support and should be prioritized for patients with impaired self-care.

Background In 2018, the concept of clusters was introduced as a new model for data-driven quality improvement in general practice in Denmark. However, there is little research on the development and implementation of general practice clusters. The study explores how the cluster coordinators responsible for leading the clusters forward enacted and experienced their role during the early years of the clusters with attention to the challenges and enablers perceived in the process. Methods Qualitative, semi-structured interviews with 25 cluster coordinators from clusters that had carried out at least two meetings on a specific professional topic. The coordinators represented clusters of varying sizes and different geographic locations. Key topics in the interview guide were the development and structure of the cluster, the role of the coordinator, obtainment of data for the meetings, the role of external support, the form and content of the meetings, the participation and engagement of the members. A thematic analysis – shaped by the original aims and categories of the study while also being open to emerging themes – was performed on the transcribed interview material. Results Important enablers in the process of developing the clusters included the positive engagement of the GPs, the support offered by regional quality units and a national quality organisation for general practice, and the funding provided by the formal cluster framework. Challenges initially included setting up the clusters administratively and translating the open cluster concept into a local, workable model; and later obtaining relevant data for the cluster meetings and facilitating peer discussions about the data. Conclusion The coordinators generally experienced that the development of the clusters had progressed relatively fast with engagement from most of the participating GPs. Still, challenges with data obtainment, data analysis, and facilitation will have to be addressed ongoingly. Future research should investigate learning processes at the cluster meetings and how the clusters impact clinical practice and collaborative relations between general practice and other health care providers.

IntroductionPatients with complex multimorbidity face a high treatment burden and frequently have low quality of life. General practice is the key organisational setting in terms of offering people with complex multimorbidity integrated, longitudinal, patient-centred care. This protocol describes a pragmatic cluster randomised controlled trial to evaluate the effectiveness of an adaptive, multifaceted intervention in general practice for patients with complex multimorbidity.Methods and analysisIn this study, 250 recruited general practices will be randomly assigned 1:1 to either the intervention or control group. The eligible population are adult patients with two or more chronic conditions, at least one contact with secondary care within the last year, taking at least five repeat prescription drugs, living independently, who experience significant problems with their life and health due to their multimorbidity. During 2023 and 2024, intervention practices are financially incentivised to provide an extended consultation based on a patient-centred framework to eligible patients. Control practices continue care as usual. The primary outcome is need-based quality of life. Outcomes will be evaluated using linear and logistic regression models, with clustering considered. The analysis will be performed as intention to treat. In addition, a process evaluation will be carried out and reported elsewhere.Ethics and disseminationThe trial will be conducted in compliance with the protocol, the Helsinki Declaration in its most recent form and good clinical practice recommendations, as well as the regulation for informed consent. The study was submitted to the Danish Capital Region Ethical Committee (ref: H-22041229). As defined by Section 2 of the Danish Act on Research Ethics in Research Projects, this project does not constitute a health research project but is considered a quality improvement project that does not require formal ethical approval. All results from the study (whether positive, negative or inconclusive) will be published in peer-reviewed journals.Trial registration numberNCT05676541.

IntroductionThis study aimed to either identify or develop and validate a patient-reported outcome measure (PROM) to assess treatment burden related to general practice for patients with multimorbidity, which can be used alongside the MultiMorbidity Questionnaire part 1 (MMQ1) without overwhelming the target population with redundant items.MethodsWe conducted a systematic literature review to identify all existing PROMs measuring treatment burden. If no suitable PROM was found, our plan was to: (1) develop a draft PROM using items from existing instruments, (2) carry out group and individual interviews with patients with multimorbidity to ensure the PROM’s understandability, clarity, completeness and relevance and (3) undertake psychometric validation with a diverse sample of primary care patients with chronic conditions.ResultsWe did not identify an eligible PROM in the literature review. The draft PROM consisted of 30 items divided into six domains; Information about treatment, Challenges with medication, Medical appointments, Self-monitoring, Health behaviour and Challenges in the contact to the health system. In the psychometric validation, neither these domains nor any other theoretical constellation of items had adequate psychometric properties. Individual items had good criterion validity and sensitivity to change.ConclusionsIn this study, we developed a 30-item PROM with high content validity where various individual items showed adequate criterion validity and sensitivity to change, making these items useful as a supplemental measure to the MMQ1.Trial registration number NCT05676541 Registration Date: 16 December 2022.

[delta][sup.18]O and electrical conductivity (EC) were used successfully to trace the spatial distribution of whole-lake groundwater-lake exchange for a small (four ha) groundwater-fed lake situated in a low relief and low hydraulic gradient area. The method relies on quick sampling of shallow groundwater, direct analysis of EC in the field, and relatively in-expensive analysis of [delta][sup.18]O in the laboratory. Ternary uncertain end-member mixing analysis (precipitation, groundwater, and lake water) quantified the composition of water discharging to and recharging from the lake. The tracer distribution and mixing analysis were in agreement with the interpreted groundwater flow near the lake. The use of only one tracer (either [delta][sup.18]O or EC) gave the same results for the recharge segments, but the discharge segments changed the origin of the water from being groundwater to precipitation controlled. The two tracers complemented each other, especially with different signals in precipitation and groundwater. The uncertain end-members were assessed based on local (groundwater and lake water) and off-site (precipitation) data. The off-site data were found to be useful if it contained representative information on local-site seasonality (uncertainty, variance). Final end-member concentrations could explain the transience of the hydrology at the site (i.e., flooding of the area adjacent to the lake during periods with high precipitation, and variability of the [delta][sup.18]O signal in precipitation). This methodology potentially represents a new option to study groundwater-lake systems. The tracer information collected over only two days is useful by itself for developing the next steps like the quantification of fluxes based on other standard methods (Darcy approach, seepage meters, or temperature). The tracer information can provide quantitative estimation of inputs and outputs by using the mixing analysis. Keywords: groundwater-lake exchange; tracers ([delta][sup.18]O and EC); mixing analysis with uncertain end-members

Background General practitioners (GPs) are responsible for managing chronic care in the growing population of patients with comorbid chronic conditions and cancer. Studies have shown, however, that cancer patients are less likely to receive appropriate chronic care compared to patients without cancer. Patients say that how GPs engage in the care of comorbidities influences their own priority of these conditions. No studies have explored GPs’ attitudes to and prioritization of chronic care in patients who have completed primary cancer treatment. This study aims to explore GPs’ experiences, prioritization of, and perspectives on treatment and follow-up of patients with cancer and comorbidity. Methods Semi-structured interviews were conducted during 2016 with 13 GPs in Region Zealand in Denmark. We used Systematic Text Condensation in the analysis. Results All participating GPs said that chronic care in patients with a history of cancer was a high priority, and due to a clear structure in their practice, they experienced that few patients were lost to follow-up. Two different approaches to chronic care consultations were identified: one group of GPs described them as imitating outpatient clinics, where the GP sets the agenda and focuses on the chronic condition. The other group described an approach that was more attuned to the patient’s agenda, which could mean that chronic care consultations served as an “alibi” for the patients to disclose other matters of concern. Both groups of GPs said that chronic care consultations for these patients supported normalcy, but in different ways. Some GPs said that offering future appointments in the chronic care process gave patients hope and a sense of normalcy. Other GPs strove for normalcy by focusing exclusively on the chronic condition and dealing with cancer as cured. Conclusions The participating GPs gave a high priority to chronic care in patients with a history of cancer. Some GPs, however, followed a rigorous agenda. GPs should be aware that a very focused and biomedical approach to chronic care might increase fragmentation of care and collide with a holistic and patient-centered approach. It could also affect GPs’ self-perception of their role and the core values of general practice.