Medication Reconciliation at Discharge from Hospital: A Systematic Review of the Quantitative Literature

Medicines reconciliation is a way to identify and act on discrepancies in patients’ medical histories and it is found to play a key role in patient safety. This review focuses on discrepancies and medical errors that occurred at point of discharge from hospital. Studies were identified through the following electronic databases: PubMed, Sciences Direct, EMBASE, Google Scholar, Cochrane Reviews and CINAHL. Each of the six databases was screened from inception to end of January 2014. To determine eligibility of the studies; the title, abstract and full manuscript were screened to find 15 articles that meet the inclusion criteria. The median number of discrepancies across the articles was found to be 60%. In average patient had between 1.2–5.3 discrepancies when leaving the hospital. More studies also found a relation between the numbers of drugs a patient was on and the number of discrepancies. The variation in the number of discrepancies found in the 15 studies could be due to the fact that some studies excluded patient taking more than 5 drugs at admission. Medication reconciliation would be a way to avoid the high number of discrepancies that was found in this literature review and thereby increase patient safety.

RMA with quantile normalization mixes biological signals between different sample groups in microarray data analysis

Quantile normalization (QN) is a technique for microarray data processing and is the default normalization method in the Robust Multi-array Average (RMA) procedure, which was primarily designed for analysing gene expression data from Affymetrix arrays. Given the abundance of Affymetrix microarrays and the popularity of the RMA method, it is crucially important that the normalization procedure is applied appropriately. In this study we carried out simulation experiments and also analysed real microarray data to investigate the suitability of RMA when it is applied to dataset with different groups of biological samples. From our experiments, we showed that RMA with QN does not preserve the biological signal included in each group, but rather it would mix the signals between the groups. We also showed that the Median Polish method in the summarization step of RMA has similar mixing effect. RMA is one of the most widely used methods in microarray data processing and has been applied to a vast volume of data in biomedical research. The problematic behaviour of this method suggests that previous studies employing RMA could have been misadvised or adversely affected. Therefore we think it is crucially important that the research community recognizes the issue and starts to address it. The two core elements of the RMA method, quantile normalization and Median Polish, both have the undesirable effects of mixing biological signals between different sample groups, which can be detrimental to drawing valid biological conclusions and to any subsequent analyses. Based on the evidence presented here and that in the literature, we recommend exercising caution when using RMA as a method of processing microarray gene expression data, particularly in situations where there are likely to be unknown subgroups of samples.

Suicide and parasuicide: a selected review of the literature.

The increase in adolescent suicides has prompted the World Health Organization to set targets to reduce the incidence of deaths by the year 2000. In order to achieve this target further investigation into the perceptions of adolescent parasuicidal individuals is required to reduce the number of suicide attempts. Statistical evidence shows that parasuicidal individuals are commonly females who attempt suicide by taking an overdose. In the majority of cases help has been sought within the month prior to the attempt. Following an attempt many individuals feel isolated or ignored by health professionals. It appears that communication difficulties and negative attitudes by health professionals often reinforce the stigma associated with suicide. Nurses can contribute to the prevention of parasuicide/suicide by actively providing therapeutic care and counselling parasuicidal individuals to help them deal with major life events.

Management of newly diagnosed chronic myeloid leukaemia during a twin pregnancy using leucapheresis: Case report and review of the literature

A case of chronic myeloid leukaemia diagnosed as an incidental finding in a 32-year-old woman, pregnant with twins at 11 weeks gestation, is presented. Management of the patient was with leucapheresis and supportive care until spontaneous delivery of two morphologically normal infants (one male, one female) at 37 weeks gestation. Special considerations while employing leucapheresis in pregnant patients are discussed.

A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems

Perfect information is seldom available to man or machines due to uncertainties inherent in real world problems. Uncertainties in geographic information systems (GIS) stem from either vague/ambiguous or imprecise/inaccurate/incomplete information and it is necessary for GIS to develop tools and techniques to manage these uncertainties. There is a widespread agreement in the GIS community that although GIS has the potential to support a wide range of spatial data analysis problems, this potential is often hindered by the lack of consistency and uniformity. Uncertainties come in many shapes and forms, and processing uncertain spatial data requires a practical taxonomy to aid decision makers in choosing the most suitable data modeling and analysis method. In this paper, we: (1) review important developments in handling uncertainties when working with spatial data and GIS applications; (2) propose a taxonomy of models for dealing with uncertainties in GIS; and (3) identify current challenges and future research directions in spatial data analysis and GIS for managing uncertainties.

Search filters: mapping the literature using a novel form of content analysis.

Background: Search filters are combinations of words and phrases designed to retrieve an optimal set of records on a particular topic (subject filters) or study design (methodological filters). Information specialists are increasingly turning to reusable filters to focus their searches. However, the extent of the academic literature on search filters is unknown. We provide a broad overview to the academic literature on search filters.
Objectives: To map the academic literature on search filters from 2004 to 2015 using a novel form of content analysis.
Methods: We conducted a comprehensive search for literature between 2004 and 2015 across eight databases using a subjectively derived search strategy. We identified key words from titles, grouped them into categories, and examined their frequency and co-occurrences.
Results: The majority of records were housed in Embase (n = 178) and MEDLINE (n = 154). Over the last decade, both databases appeared to exhibit a bimodal distribution with the number of publications on search filters rising until 2006, before dipping in 2007, and steadily increasing until 2012. Few articles appeared in social science databases over the same time frame (e.g. Social Services Abstracts, n = 3).
Unsurprisingly, the term ‘search’ appeared in most titles, and quite often, was used as a noun adjunct for the word 'filter' and ‘strategy’. Across the papers, the purpose of searches as a means of 'identifying' information and gathering ‘evidence’ from 'databases' emerged quite strongly. Other terms relating to the methodological assessment of search filters, such as precision and validation, also appeared albeit less frequently.
Conclusions: Our findings show surprising commonality across the papers with regard to the literature on search filters. Much of the literature seems to be focused on developing search filters to identify and retrieve information, as opposed to testing or validating such filters. Furthermore, the literature is mostly housed in health-related databases, namely MEDLINE, CINAHL, and Embase, implying that it is medically driven. Relatively few papers focus on the use of search filters in the social sciences.

Reviewing the literature

Implementing evidence into practice requires nurses to identify, critically appraise and synthesise research. This may require a comprehensive literature review: this article aims to outline the approaches and stages required and provides a working example of a published review

Psychological interventions for children and young people affected by armed conflict or political violence: a systematic literature review.

Youths exposed to armed conflict have a higher prevalence of mental health and psychosocial difficulties. Diverse interventions exist that aim to ameliorate the effect of armed conflict on the psychological and psychosocial wellbeing of conflict affected youths. However, the evidence base for the effectiveness of these interventions is limited. Using standard review methodology, this review aims to address the effectiveness of psychological interventions employed among this population. The search was performed across four databases and grey literature. Article quality was assessed using the Downs and Black Quality Checklist (1998). Where possible, studies were subjected to meta-analyses. The remaining studies were included in a narrative synthesis. Eight studies concerned non clinical populations, while nine concerned clinical populations. Review findings conclude that Group Trauma Focused-Cognitive Behavioural Therapy is effective for reducing symptoms of posttraumatic stress disorder, anxiety, depression and improving prosocial behaviour among clinical cohorts. The evidence does not suggest that interventions aimed at non clinical groups within this population are effective. Despite high quality studies, further robust trials are required to strengthen the evidence base, as a lack of replication has resulted in a limited evidence base to inform practice.