Self- Assessed Level of Competence of Experienced Expatriate Nurses in Rural and Remote Settings

We aimed to measure the self-assessed level of competence among nurses working in the public hospitals of Al-Gharbia Region, a remote rural region of United Arab Emirates, and to explore the factors associated with the nurses’ self-perceived competency. The Nurse Competency Scale, which measures the self-assessed level of competency of nurses, has been validated in a variety of clinical settings, in facilities of various sizes, and in small and large cohorts. However, its application among an expatriate nursing workforce working in small hospitals and health facilities in remote and rural areas has not been examined. We used the Nurse Competency Scale to survey the nursing workforce in Al-Gharbia’s public hospitals in United Arab Emirates. All 435 practicing registered nurses with more than 3 months clinical experience in the network were invited to participate. Data were collected electronically and analyzed by international collaborators. Statistical analysis included analysis of variance, Kruskal–Wallis, multiple linear regression, 2 test of independence, and Cronbach’s a. Totally, 189 responses were analyzed (43.4% response rate). Overall self-assessed levels of competence were uniformly ‘‘very good’’ across all competence categories. The overall score (84.3) was higher than those found in most other studies. Frequency of use was the most outstanding variable influencing self-assessed competence. Total years of experience were the next significant variable. Some items of the scale were not yet applicable to activities in the region, particularly those relating to supervision of students. The high scores achieved by expatriate nurses in the small hospitals of Al-Gharbia reflect well on the rigor of the recruitment process, ongoing cross-training and functional competency assessment. Policies and practices aimed at recruiting experienced expatriate nurses and providing opportunities to use competencies continue to be critical in providing a quality nursing service in a rural and remote region

Reference Ranges for the Clinical Laboratory Derived from a Rural Population in Kericho, Kenya

The conduct of Phase I/II HIV vaccine trials internationally necessitates the development of region-specific clinical reference ranges for trial enrolment and participant monitoring. A population based cohort of adults in Kericho, Kenya, a potential vaccine trial site, allowed development of clinical laboratory reference ranges. Lymphocyte immunophenotyping was performed on 1293 HIV seronegative study participants. Hematology and clinical chemistry were performed on up to 1541 cohort enrollees. The ratio of males to females was 1.9∶1. Means, medians and 95% reference ranges were calculated and compared with those from other nations. The median CD4+ T cell count for the group was 810 cells/µl. There were significant gender differences for both red and white blood cell parameters. Kenyan subjects had lower median hemoglobin concentrations (9.5 g/dL; range 6.7–11.1) and neutrophil counts (1850 cells/µl; range 914–4715) compared to North Americans. Kenyan clinical chemistry reference ranges were comparable to those from the USA, with the exception of the upper limits for bilirubin and blood urea nitrogen, which were 2.3-fold higher and 1.5-fold lower, respectively. This study is the first to assess clinical reference ranges for a highland community in Kenya and highlights the need to define clinical laboratory ranges from the national community not only for clinical research but also care and treatment

Earth history and the passerine superradiation.

Avian diversification has been influenced by global climate change, plate tectonic movements, and mass extinction events. However, the impact of these factors on the diversification of the hyperdiverse perching birds (passerines) is unclear because family level relationships are unresolved and the timing of splitting events among lineages is uncertain. We analyzed DNA data from 4,060 nuclear loci and 137 passerine families using concatenation and coalescent approaches to infer a comprehensive phylogenetic hypothesis that clarifies relationships among all passerine families. Then, we calibrated this phylogeny using 13 fossils to examine the effects of different events in Earth history on the timing and rate of passerine diversification. Our analyses reconcile passerine diversification with the fossil and geological records; suggest that passerines originated on the Australian landmass ∼47 Ma; and show that subsequent dispersal and diversification of passerines was affected by a number of climatological and geological events, such as Oligocene glaciation and inundation of the New Zealand landmass. Although passerine diversification rates fluctuated throughout the Cenozoic, we find no link between the rate of passerine diversification and Cenozoic global temperature, and our analyses show that the increases in passerine diversification rate we observe are disconnected from the colonization of new continents. Taken together, these results suggest more complex mechanisms than temperature change or ecological opportunity have controlled macroscale patterns of passerine speciation

25th annual computational neuroscience meeting: CNS-2016

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong

Self-Assessed Competence of Experienced Expatriate Nurses in a Rural and Remote Setting

We aimed to measure the self-assessed level of competence among nurses working in the public hospitals of Al-Gharbia Region, a remote rural region of United Arab Emirates, and to explore the factors associated with the nurses’ self-perceived competency. The Nurse Competency Scale, which measures the self-assessed level of competency of nurses, has been validated in a variety of clinical settings, in facilities of various sizes, and in small and large cohorts. However, its application among an expatriate nursing workforce working in small hospitals and health facilities in remote and rural areas has not been examined. We used the Nurse Competency Scale to survey the nursing workforce in Al-Gharbia’s public hospitals in United Arab Emirates. All 435 practicing registered nurses with more than 3 months clinical experience in the network were invited to participate. Data were collected electronically and analyzed by international collaborators. Statistical analysis included analysis of variance, Kruskal–Wallis, multiple linear regression, χ 2 test of independence, and Cronbach’s α. Totally, 189 responses were analyzed (43.4% response rate). Overall self-assessed levels of competence were uniformly “very good” across all competence categories. The overall score (84.3) was higher than those found in most other studies. Frequency of use was the most outstanding variable influencing self-assessed competence. Total years of experience were the next significant variable. Some items of the scale were not yet applicable to activities in the region, particularly those relating to supervision of students. The high scores achieved by expatriate nurses in the small hospitals of Al-Gharbia reflect well on the rigor of the recruitment process, ongoing cross-training and functional competency assessment. Policies and practices aimed at recruiting experienced expatriate nurses and providing opportunities to use competencies continue to be critical in providing a quality nursing service in a rural and remote region