The difficult discussion on the deactivation of implantable cardioverter devices at the end of life: a systematic review.

Implantable cardioverter defibrillators (ICDs) reliably prevent death due to life-threatening arrhythmias; this may become less relevant in people with more severe heart failure who are reaching the end of life (EOL). This review aimed to explore the ICD deactivation process and identify ethical issues, especially around the initiation of relevant discussions among professionals and patients. Available literature was reviewed using four electronic databases to identify issues that may deter healthcare professionals from having important deactivation discussions and to address considerations for ICD management prior to the EOL. The search resulted in the retainment of 12 studies. Three themes emerged from the data: barriers and facilitators, ethical considerations in clinical practice, and nurse's role. Lack of knowledge, which has been associated with cultural differences, has been found among the barriers, and interdisciplinary education and open communication appeared as facilitators. As clinicians' ethical considerations and fears emerged from the literature, nurses' special role has not been sufficiently supported. Complex care requires facilitation by multidisciplinary teams and education around the device's function regarding EOL issues. Establishing expert consensus statements on advance care planning might help define the distinct roles of each healthcare practitioner involved. Further research is needed in addressing the identified gaps.

The one-way ANOVA test explained.

BACKGROUND: Quantitative methods and statistical analysis are essential tools in nursing research, as they support researchers testing phenomena, illustrate their findings clearly and accurately, and provide explanation or generalisation of the phenomenon being investigated. The most popular inferential statistics test is the one-way analysis of variance (ANOVA), as it is the test designated for comparing the means of a study's target groups to identify if they are statistically different to the others. However, the nursing literature has identified that statistical tests are not being used correctly and findings are being reported incorrectly. AIM: To present and explain the one-way ANOVA. DISCUSSION: The article presents the purpose of inferential statistics and explains one-way ANOVA. It uses relevant examples to examine the steps needed to successfully apply the one-way ANOVA. The authors also provide recommendations for other statistical tests and measurements in parallel to one-way ANOVA. CONCLUSION: Nurses need to develop their understanding and knowledge of statistical methods, to engage in research and evidence-based practice. IMPLICATIONS FOR PRACTICE: This article enhances the understanding and application of one-way ANOVAs by nursing students, novice researchers, nurses and those engaged in academic studies. Nurses, nursing students and nurse researchers need to familiarise themselves with statistical terminology and develop their understanding of statistical concepts, to support evidence-based, quality, safe care.

Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors.

Due to their unique characteristics, cosmic-ray neutron sensors (CRNSs) have potential in monitoring and informing irrigation management, and thus optimising the use of water resources in agriculture. However, practical methods to monitor small, irrigated fields with CRNSs are currently not available and the challenges of targeting areas smaller than the CRNS sensing volume are mostly unaddressed. In this study, CRNSs are used to continuously monitor soil moisture (SM) dynamics in two irrigated apple orchards (Agia, Greece) of ~1.2 ha. The CRNS-derived SM was compared to a reference SM obtained by weighting a dense sensor network. In the 2021 irrigation period, CRNSs could only capture the timing of irrigation events, and an ad hoc calibration resulted in improvements only in the hours before irrigation (RMSE between 0.020 and 0.035). In 2022, a correction based on neutron transport simulations, and on SM measurements from a non-irrigated location, was tested. In the nearby irrigated field, the proposed correction improved the CRNS-derived SM (from 0.052 to 0.031 RMSE) and, most importantly, allowed for monitoring the magnitude of SM dynamics that are due to irrigation. The results are a step forward in using CRNSs as a decision support system in irrigation management.