Transition of care for adolescents from paediatric services to adult health services. Cochrane Database of Systematic Reviews, (4), [CD009794].

Background and objectives The last decade has witnessed increased recognition of the value of literature reviews for advancing understanding and decision making. This has been accompanied by an expansion in the range of methodological approaches and types of review. However, there remains uncertainty over definitions and search requirements beyond those for the ‘traditional’ systematic review. This study aims to characterise health related reviews by type and to provide recommendations on appropriate methods of information retrieval based on the available guidance. Methods A list of review types was generated from published typologies and categorised into ‘families’ based on their common features. Guidance on information retrieval for each review type was identified by searching pubmed, medline and Google Scholar, supplemented by scrutinising websites of review producing organisations. Results Forty‐eight review types were identified and categorised into seven families. Published guidance reveals increasing specification of methods for information retrieval; however, much of it remains generic with many review types lacking explicit requirements for the identification of evidence. Conclusions Defining review types and utilising appropriate search methods remain challenging. By familiarising themselves with a range of review methodologies and associated search methods, information specialists will be better equipped to select suitable approaches for future projects.

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IntroductionHospital-acquired thrombosis accounts for a large proportion of all venous thromboembolism (VTE), with significant morbidity and mortality. This subset of VTE can be reduced through accurate risk assessment and tailored pharmacological thromboprophylaxis. This systematic review aimed to determine the comparative accuracy of risk assessment models (RAMs) for predicting VTE in patients admitted to hospital.MethodsA systematic search was performed across five electronic databases (including MEDLINE, EMBASE and the Cochrane Library) from inception to February 2021. All primary validation studies were eligible if they examined the accuracy of a multivariable RAM (or scoring system) for predicting the risk of developing VTE in hospitalised inpatients. Two or more reviewers independently undertook study selection, data extraction and risk of bias assessments using the PROBAST (Prediction model Risk Of Bias ASsessment Tool) tool. We used narrative synthesis to summarise the findings.ResultsAmong 6355 records, we included 51 studies, comprising 24 unique validated RAMs. The majority of studies included hospital inpatients who required medical care (21 studies), were undergoing surgery (15 studies) or receiving care for trauma (4 studies). The most widely evaluated RAMs were the Caprini RAM (22 studies), Padua prediction score (16 studies), IMPROVE models (8 studies), the Geneva risk score (4 studies) and the Kucher score (4 studies). C-statistics varied markedly between studies and between models, with no one RAM performing obviously better than other models. Across all models, C-statistics were often weak (<0.7), sometimes good (0.7–0.8) and a few were excellent (>0.8). Similarly, estimates for sensitivity and specificity were highly variable. Sensitivity estimates ranged from 12.0% to 100% and specificity estimates ranged from 7.2% to 100%.ConclusionAvailable data suggest that RAMs have generally weak predictive accuracy for VTE. There is insufficient evidence and too much heterogeneity to recommend the use of any particular RAM.PROSPERO registration numberSteve Goodacre, Abdullah Pandor, Katie Sworn, Daniel Horner, Mark Clowes. A systematic review of venous thromboembolism RAMs for hospital inpatients. PROSPERO 2020 CRD42020165778. Available from https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=165778https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=165778

BackgroundPeople with type 1 diabetes who attend structured education training in self-management using flexible intensive therapy achieve improved blood glucose control and experience fewer episodes of severe hypoglycaemia. However, many struggle to sustain these improvements over time. To inform the design of more effective follow-up support we undertook a review of qualitative studies which have identified factors that influence and inform participants’ self-management behaviours after attending structured education and their need for support to sustain improvements in glycaemic control.MethodsWe undertook a meta-ethnography of relevant qualitative studies, identified using systematic search methods. Studies were included which focused on participants’ experiences of self-managing type 1 diabetes after attending structured education which incorporated training in flexible intensive insulin therapy. A line of argument approach was used to synthesise the findings.ResultsThe search identified 18 papers from six studies. The studies included were judged to be of high methodological quality. The line of argument synthesis developed the Follow-Up Support for Effective type 1 Diabetes self-management (FUSED) model. This model outlines the challenges participants encounter in maintaining diabetes self-management practices after attending structured education, and describes how participants try to address these barriers by adapting, simplifying or personalising the self-management approaches they have learned. To help participants maintain the skills taught during courses, the FUSED model presents ten recommendations abstracted from the included papers to provide a logic model for a programme of individualised and responsive follow-up support.ConclusionsThis meta-ethnography highlights how providing skills training using structured education to people with type 1 diabetes does not necessarily result in participants adopting and sustaining recommended changes in behaviour. To help people sustain diabetes self-management skills after attending structured education, it is recommended that support be provided over the longer-term by appropriately trained healthcare professionals which is responsive to individuals’ needs. Although developed to inform support for people with type 1 diabetes, the FUSED model provides a framework that could also be applied to support individuals with other long term conditions which require complex self-management skills to be learned and sustained over time.Trial registrationPROSPERO registration: CRD42017067961.Electronic supplementary materialThe online version of this article (10.1186/s12913-018-3655-z) contains supplementary material, which is available to authorized users.