Impact of combining data from multiple instruments on performance of patient-based real-time quality control

IntroductionIt is unclear what is the best strategy for applying patient-based real-time quality control (PBRTQC) algorithm in the presence of multiple instruments. This simulation study compared the error detection capability of applying PBRTQC algorithms for instruments individually and in combination using serum sodium as an example.Materials and methodsFour sets of random serum sodium measurements were generated with differing means and standard deviations to represent four simulated instruments. Moving median with winsorization was selected as the PBRTQC algorithm. The PBRTQC parameters (block size and control limits) were optimized and applied to the four simulated laboratory data sets individually and in combination.ResultsWhen the PBRTQC algorithm were individually optimized and applied to the data of the individual simulated instruments, it was able to detect bias several folds faster than when they were combined. Similarly, the individually applied algorithms had perfect error detection rates across different magnitudes of bias, whereas the error detection rates of the algorithm applied on the combined data missed smaller biases. The performance of the individually applied PBRTQC algorithm performed more consistently among the simulated instruments compared to when the data were combined.DiscussionWhile combining data from different instruments can increase the data stream and hence, increase the speed of error detection, it may widen the control limits and compromising the probability of error detection. The presence of multiple instruments in the data stream may dilute the effect of the error when it only affects a selected instrument.     

Information retrieval in the workplace: A comparison of professional search practices

Legal researchers, recruitment professionals, healthcare information professionals, and patent analysts all undertake work tasks where search forms a core part of their duties. In these instances, the search task is often complex and time-consuming and requires specialist expertise to identify relevant documents and insights within large domain-specific repositories and collections. Several studies have been made investigating the search practices of professionals such as these, but few have attempted to directly compare their professional practices and so it remains unclear to what extent insights and approaches from one domain can be applied to another. In this paper we describe the results of a survey of a purposive sample of 108 legal researchers, 64 recruitment professionals and 107 healthcare information professionals. Their responses are compared with results from a previous survey of 81 patent analysts. The survey investigated their search practices and preferences, the types of functionality they value, and their requirements for future information retrieval systems. The results reveal that these professions share many fundamental needs and face similar challenges. In particular a continuing preference to formulate queries as Boolean expressions, the need to manage, organise and re-use search strategies and results and an ambivalence toward the use of relevance ranking. The results stress the importance of recall and coverage for the healthcare and patent professionals, while precision and recency were more important to the legal and recruitment professionals. The results also highlight the need to ensure that search systems give confidence to the professional searcher and so trust, explainability and accountability remains a significant challenge when developing such systems. The findings suggest that translational research between the different areas could benefit professionals across domains.     

From peripheral to full participation in a blended trade bargaining simulation

This article considers the extent and nature of student participation in a trade bargaining simulation from a community of practice perspective. This third‐year economics module included a blend of online communication (through email, online chats and online discussions) and face‐to‐face meetings, both in smaller bargaining groups and in whole class plenary meetings. Our method of analysis includes the use of Exchange Structure Analysis of text chats and face‐to‐face learning conversations, triangulated by observation, survey and interview data. The focus on community of practice enables us to offer a nuanced interpretation of differences in crude participation data derived from the online chats. Superficially, the data may suggest marginalisation of participants, but Wenger's (1988 ) notion of peripheral participation with a trajectory towards full participation reframes the disparities in terms of an active community of practice. Some members are fully engaged with the practices of trade bargaining from the early stages of the simulation, while others move towards full participation over the duration of the simulation. Our results suggest that the laboratory‐based online text chats did provide opportunities for student participation in the simulation, and that male and female students exhibited different patterns of participation in the chats.     

Prospective Elementary Mathematics Specialists’ developing instructional practices: support and mentorship during an authentic residency

Journal of Mathematics Teacher Education - This case study explored Prospective Elementary Mathematics Specialists’ (PEMSs) pedagogical practices during a K-5 Mathematics Endorsement (K-5 ME)...     

Faculty Liaisons: an embedded approach for enriching teaching and learning in higher education

This paper explores the experiences of a group of academic developers who support educational development work as Faculty Liaisons at a large, research-intensive university. These academic developers inhabit complex ‘third spaces’, providing support through an embedded partnership relationship that requires lateral movement across functional and organizational boundaries to create new professional spaces, knowledge, and relationships. The authors utilize narrative inquiry and auto-ethnographic approaches to present an interpretive qualitative analysis of their experiences supporting Faculty and University projects across complex and evolving organizational boundaries. From this analysis, they highlight key roles and responsibilities associated with their blended context and identify challenges that academic developers who occupy third spaces within academic organizations face as they negotiate competing interests, identities, and requirements associated with the diverse range of their projects and the blended experience of working in scholarly and administrative, central- and Faculty-based roles. The lessons they have learned from these experiences will be of particular interest to academic developers who are experiencing the flux of change within higher education settings that are impacting teaching and learning practices both for faculty in the classroom and for those across the institution who support them.     

Testing Measurement Invariance Across Unobserved Groups: The Role of Covariates in Factor Mixture Modeling

Factor mixture modeling (FMM) has been increasingly used to investigate unobserved population heterogeneity. This study examined the issue of covariate effects with FMM in the context of measurement invariance testing. Specifically, the impact of excluding and misspecifying covariate effects on measurement invariance testing and class enumeration was investigated via Monte Carlo simulations. Data were generated based on FMM models with (1) a zero covariate effect, (2) a covariate effect on the latent class variable, and (3) covariate effects on both the latent class variable and the factor. For each population model, different analysis models that excluded or misspecified covariate effects were fitted. Results highlighted the importance of including proper covariates in measurement invariance testing and evidenced the utility of a model comparison approach in searching for the correct specification of covariate effects and the level of measurement invariance. This approach was demonstrated using an empirical data set. Implications for methodological and applied research are discussed.     

From Page to Stage: Locating the Spirit of Branar’s Adaptation of Oliver Jeffers’ How to Catch a Star

Children's Literature in Education - Oliver Jeffers’ best-selling picturebook How to Catch a Star (2004) has been the subject of several recent theatre adaptations for children. This...