The predictive validity of multiple mini interviews (MMIs) in nursing and midwifery programmes: year three findings from a cross-discipline cohort study

Education literature worldwide is replete with studies evaluating the effectiveness of Multiple Mini Interviews (MMIs) in admissions to medicine but <1% of published studies have been conducted in selection to nursing and midwifery programmes. To examine the predictive validity of MMIs using end of programme clinical and academic performance indicators of pre-registration adult, child, and mental health nursing and midwifery students. A cross-sectional cohort study at one university in the United Kingdom. A non-probability consecutive sampling strategy whereby all applicants to the September 2015 pre-registration adult, child, mental health nursing and midwifery programmes were invited to participate. Of the 354 students who commenced year one, 225 (64%) completed their three-year programme and agreed to take part (adult 120, child 32, mental health nursing 30 and midwifery 43). All applicants were interviewed using MMIs with six and seven station, four-minute models deployed in nursing and midwifery student selection respectively. Associations between MMI scores and the cross-discipline programme performance indicators available for each student at this university at the end of year three: clinical practice (assessed by mentors) and academic attainment (dissertation mark) were explored using multiple linear regression adjusting for applicant age, academic entry level, discipline and number of MMI stations. In the adjusted models, students with higher admissions MMI score (at six and seven stations) performed better in clinical practice (p < 0.001) but not in academic attainment (p = 0.122) at the end of their three-year programme. These findings provide the first report of the predictive validity of MMIs for performance in clinical practice using six and seven station models in nursing and midwifery programmes. Further evidence is required from both clinical and academic perspectives from larger, multi-site evaluations. [Abstract copyright: Crown Copyright © 2019. Published by Elsevier Ltd. All rights reserved.

Graphs with isolation number equal to one third of the order

A set $D$ of vertices of a graph $G$ is isolating if the set of vertices not in $D$ or with no neighbor in $D$ is independent. The isolation number of $G$, denoted by $\iota (G)$, is the minimum cardinality of an isolating set of $G$. It is known that $\iota (G)\le n/3$, if $G$ is a connected graph of order $n$, $n\ge 3$, distinct from $C_5$. The main result of this work is the characterisation of unicyclic and block graphs of order $n$ with isolating number equal to $n/3$. Moreover, we provide a family of general graphs attaining this upper bound on the isolation number.Comment: 15 pages, 12 figure

The reliability and validity of multiple mini interviews (MMIs) in values based recruitment to nursing, midwifery and paramedic practice: Findings from an evaluation study

Background: Universities in the United Kingdom (UK) are required to incorporate values based recruitment (VBR) into their healthcare student selection processes. This reflects an international drive to strengthen the quality of healthcare service provision. This paper presents novel findings in relation to the reliability and predictive validity of multiple mini interviews (MMIs); one approach to VBR widely being employed by universities. Objectives: To examine the reliability (internal consistency) and predictive validity of MMIs using end of Year One practice outcomes of under-graduate pre-registration adult, child, mental health nursing, midwifery and paramedic practice students. Design: Cross-discipline evaluation study. Setting: One university in the United Kingdom. Participants: Data were collected in two streams: applicants to A) The September 2014 and 2015 Midwifery Studies programmes; B) September 2015 adult; Child and Mental Health Nursing and Paramedic Practice programmes. Fifty-seven midwifery students commenced their programme in 2014 and 69 in 2015; 47 and 54 agreed to participate and completed Year One respectively. 333 healthcare students commenced their programmes in September 2015. Of these, 281 agreed to participate and completed their first year (180 adult, 33 child and 34 mental health nursing and 34 paramedic practice students). Methods: Stream A featured a seven station four-minute model with one interviewer at each station and in Stream B a six station model was employed. Cronbach’s alpha was used to assess MMI station internal consistency and Pearson’s moment correlation co-efficient to explore associations between participants’ admission MMI score and end of Year one clinical practice outcomes (OSCE and mentor grading). Results: Stream A: Significant correlations are reported between midwifery applicant’s MMI scores and end of Year One practice outcomes. A multivariate linear regression model demonstrated that MMI score significantly predicted end of Year One practice outcomes controlling for age and academic entry level: coefficients 0.195 (p = 0.002) and 0.116 (p = 0.002) for OSCE and mentor grading respectively. In Stream B no significant correlations were found between MMI score and practice outcomes measured by mentor grading. Internal consistency for each MMI station was ‘excellent’ with values ranging from 0.966–0.974 across Streams A and B. Conclusion: This novel, cross-discipline study shows that MMIs are reliable VBR tools which have predictive validity when a seven station model is used. These data are important given the current international use of different MMI models in healthcare student selection processes

Explorative study of apple juice fluorescence in relation to antioxidant properties

Total fluorescence spectra (excitation-emission matrices, EEM) were recorded for a series of commercial apple juices, including clear and cloudy juices produced from concentrate, cloudy juices that were not from concentrate, and freshly squeezed juices. An exploratory study of the spectra with parallel factor analysis (PARAFAC) revealed three groups of fluorophores with different emission properties, and these properties were characterized by excitation/emission maxima at 270/315 nm, (310, 370)/455 nm, and 430/(550, 680) nm, respectively.A regression analysis of the total fluorescence spectra arranged into three-way arrays using N-way partial least squares regression methods (NPLS1 and NPLS2) and an analysis of the unfolded spectra by partial least squares methods (PLS1 and PLS2) revealed quantitative relations between the fluorescence and antioxidant properties of juices. The best models for the total phenolic contents and total antioxidant capacities were obtained by applying the NPLS1 method to the EEM. The model parameters were as follows: R-CV(2) = 0.802, RPD = 2.3 for the total phenolic content and R-CV(2) = 0.808 and RPD = 2.3 for the total antioxidant capacity. These results show the potential use of fluorescence spectroscopy for screening apple juices for their antioxidant properties. (C) 2016 Elsevier Ltd. All rights reserved

Isolation Number versus Domination Number of Trees

[Abstract] If = (Vɢ,Eɢ) is a graph of order n, we call ⊆ Vɢ an isolating set if the graph induced by Vɢ − Nɢ[] contains no edges. The minimum cardinality of an isolating set of is called the isolation number of , and it is denoted by (). It is known that () ≤ ⁿ⁄₃ and the bound is sharp. A subset ⊆ Vɢ is called dominating in if Nɢ[] = Vɢ. The minimum cardinality of a dominating set of is the domination number, and it is denoted by (). In this paper, we analyze a family of trees where () = (), and we prove that (T) = ⁿ⁄₃ implies () = (). Moreover, we give different equivalent characterizations of such graphs and we propose simple algorithms to build these trees from the connections of stars.CITIC, as Research Center accredited by Galician University System, is funded by "Consellería de Cultura, Educación e Universidade from Xunta de Galicia", supported in an 80% through ERDF Funds, ERDF Operational Programme Galicia 2014-2020, and the remaining 20% by "Secretaría Xeral de Universidades (Grant ED431G 2019/01). This research was also funded by Agencia Estatal de Investigación of Spain (PID2019-104958RB-C42 and TIN2017-85160-C2-1-R) and ERDF funds of the EU (AEI/FEDER, UE).Xunta de Galicia; ED431G 2019/0