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Over the past 30 years, the Government has been promoting the transition of care from the acute setting to the community setting. Within the community setting, district nurses are described in the latest reports as endorsers of the care close to home. However, with the surge in hospital discharge, the district nursing workforce is faced with further pressure to cope with the drive to move care into the community. The purpose of this extended literature review (ELR) was to deconstruct the available data on the challenges and hurdles experienced by district nurses to manage hospital discharge. On reviewing the selected data, it was found that fragmented communication between secondary and primary sectors poses problems for effective care in the community. Additionally, the lack of understanding of the district nursing service and its remits creates obstacles for effective hospital discharge. Some practical solutions to resolve these problems are proposed.The community respiratory nurse specialist (CRNS) supports patients at different stages of lung disease, witnessing the challenge of living with chronic obstructive pulmonary disease (COPD), a progressive illness for which there is no cure. Breathlessness is the most prominent and debilitating symptom experienced; it is frightening, distressing and very difficult to manage. Nicotinamide price Little is known about the experience of CRNSs in witnessing the distress of patients, specifically those experiencing breathlessness. The nurse may have cared for such patients over many months or years. In witnessing this distress, CRNSs engage in emotional labour, which is associated with burnout and poor-quality care. This paper seeks to identify bearing witness to suffering and vulnerability as components of emotional labour in the context of the CRNS role. It highlights the need for research to explore the experience of CRNSs and insights into supporting people with long-term breathlessness. It is more likely that well-supported staff can provide sustained, supportive care to patients living with breathlessness.This article explores the factors less widely discussed in research that relate to the psychological aspects of those who may be eligible for or using intermittent self-catheterisation (ISC). Guidance indicates that cognition and ability to consent should be considered, and research indicates that a person is more likely to cope with ISC if they exhibit resilience and other positive attributes; further, a person's quality of life (QoL) is impacted by factors, such as social isolation, which need to be considered. This article takes an in-depth look at the available information on these factors.Social distancing has reduced the amount of touch in everyday life. This article summarises the current state of knowledge regarding the biological underpinnings of touch, varied preferences for touch, including cultural norms, and its potential psychological and physical benefits for recipients. link2 The lack of nursing research and related evidence are noted, and suggestions are made regarding the use of consensual touch as part of non-verbal communication within community nursing practice to express compassion and help build authentic relationships between nurses and their clients.Infection control is the responsibility of all nurses, but, traditionally, it has been seen as a priority only in hospitals. Infection control does not stop when a patient is discharged home, but should be practiced wherever clinical care takes place. Community nurses face a unique challenge as they work in patients' homes, and they must manage infection control in that unique environment. This article looks at practical ways to maintain infection control in patients' homes. It covers hand hygiene and personal protective equipment (PPE), including the five moments of hand hygiene, appropriate hand hygiene, the use of all PPE and when gloves are required and when they are not. It also discusses managing clinical equipment, both that taken into the home and that left with a patient, including decontamination, safe storage of sharps and waste management. It touches upon what can be done in a patient's home to reduce the risk of contamination, as well as infectious disease management, including specimens and wound infection management. Lastly, it talks about cross-infection and why staff health is also important.

The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models have been developed and applied to the survival analysis, no methodology exists for computing HRs associated with explanatory variables from such models. We describe a novel way to compute HRs from tree-based ML models using the SHapley Additive exPlanation values, which is a locally accurate and consistent methodology to quantify explanatory variables' contribution to predictions.

We used three sets of publicly available survival data consisting of patients with colon, breast, or pan cancer and compared the performance of CoxPH with the state-of-the-art ML model, XGBoost. To compute the HR for explanatory variables from the XGBoost model, the SHapley Additive exPlanation values were exponentiated and the ratio of the means over the two subgroups was calculated. The CI was computed via bootstrapping the training data and generating the ML model 1,000 times. Across the three data sets, we systematically compared HRs for all explanatory variables. Open-source libraries in Python and R were used in the analyses.

For the colon and breast cancer data sets, the performance of CoxPH and XGBoost was comparable, and we showed good consistency in the computed HRs. In the pan-cancer data set, we showed agreement in most variables but also an opposite finding in two of the explanatory variables between the CoxPH and XGBoost result. Subsequent Kaplan-Meier plots supported the finding of the XGBoost model.

Enabling the derivation of HR from ML models can help to improve the identification of risk factors from complex survival data sets and to enhance the prediction of clinical trial outcomes.

Enabling the derivation of HR from ML models can help to improve the identification of risk factors from complex survival data sets and to enhance the prediction of clinical trial outcomes.

Traditionally, pathologists have been branded the doctor's doctor, with a position behind the microscope and limited interaction among patients, despite their rich understanding of disease development and ability to navigate personalized medicine in an era of dynamic molecular testing.

We piloted a unique patient-pathology consultation service, whereby pathologists review tissue specimens with oncology patients, facilitating a platform for heightening patient understanding of their disease and guiding additional genetic and molecular evaluation. We conducted a retrospective survey assessing patient experience.

Fifty-nine patients participated in the patient-pathology clinic consultation, with a median age of 64 years and a female predominance (33, 55.9%). The majority of patients were treated for sarcomas (11, 18.6%), breast cancer (10, 17%), and GI tumors (10, 17%). Half of the participants consulted regarding a metastatic disease (28, 47.5%). Thirty patients (50.8%) were referred to additional workup,ation and patient-targeted treatment.

To our knowledge, this is the largest study of patient-pathologist consultation services implemented at a single institution. Our work suggests that the program may provide effective patient understanding and reinforce the role of the pathologist as the patient's doctor. This work surfaced the concerns of patients, regarding their pathology reports, and demonstrated that the patient-pathology clinics are a valuable platform to address patients' distress regarding uncertainty of their diagnosis and an integral resource engaging directly with patients, driving additional evaluation and patient-targeted treatment.

Biomarker-driven master protocols represent a new paradigm in oncology clinical trials, but their complex designs and wide-ranging genomic results returned can be difficult to communicate to participants. The objective of this pilot study was to evaluate patient knowledge and expectations related to return of genomic results in the Lung Cancer Master Protocol (Lung-MAP).

Eligible participants with previously treated advanced non-small-cell lung cancer were recruited from patients enrolled in Lung-MAP. Participants completed a 38-item telephone survey ≤ 30 days from Lung-MAP consent. The survey assessed understanding about the benefits and risks of Lung-MAP participation and knowledge of the potential uses of somatic testing results returned. Descriptive statistics and odds ratios for associations between demographic factors and correct responses to survey items were assessed.

From August 1, 2017, to June 30, 2019, we recruited 207 participants with a median age of 67, 57.3% male, and 94.2% White. Most pd incorrect knowledge and expectations about the uses of genomic results provided in the study despite most indicating that they had enough information to understand benefits and risks.Background Previous studies utilized lesion-centric approaches to study the role of the thalamus in language. In this study, we tested the hypotheses that non-lesioned dorsomedial and ventral anterior nuclei (DMVAC) and pulvinar lateral posterior nuclei complexes (PLC) of the thalamus and their projections to the left hemisphere show secondary effects of the strokes, and that their microstructural integrity is closely related to language-related functions. Methods Subjects with language impairments after a left-hemispheric cortical and/or subcortical, early stroke (n = 31, ≤6 months) or late stroke (n = 30, ≥12 months) sparing thalamus underwent the Boston Naming Test (BNT) and diffusion tensor imaging (DTI). The tissue integrity of DMVAC, PLC, and their cortical projections was quantified with DTI. The right-left asymmetry profiles of these structures were evaluated in relation to the time since stroke. The association between microstructural integrity and BNT score was investigated in relation to stroke chronicity with partial correlation analyses adjusted for confounds. Results In both early stroke and late stroke groups, left-sided tracts showed significantly higher mean diffusivities (MDs), which were likely due to Wallerian degeneration. Higher MD values of the cortical projections from the left PLC (r = -0.5, p = 0.005) and DMVAC (r = -0.53, p = 0.002) were correlated with lower BNT score in the late stroke but not early stroke group. Conclusion Nonlesioned thalamic nuclei and thalamocortical pathways show rightward lateralization of the microstructural integrity after a left hemispheric stroke, and this pattern is associated with poorer naming.

Insured patients with cancer face high treatment-related, out-of-pocket (OOP) costs and often cannot access financial assistance. We conducted a randomized, controlled trial of Bridge, a patient-facing app designed to identify eligible financial resources for patients. We hypothesized that patients using Bridge would experience greater OOP cost reduction than controls.

We enrolled patients with cancer who had OOP expenses from January 2018 to March 2019. We randomly assigned patients 11 to intervention (Bridge) versus control (financial assistance educational websites). Primary and secondary outcomes were self-reported OOP costs and subjective financial distress 3 months postenrollment. link3 In

analyses, we analyzed application for and receipt of financial assistance at 3 months postenrollment. We used chi-square, Mann-Whitney tests, and logistic regression to compare study arms.

We enrolled 200 patients. The median age was 57 years (IQR, 47.0-63.0). Most patients had private insurance (71%), and the median household income was $62,000 in US dollars (USD) (IQR, $36,000-$100,000 [USD]).