Improving predictor selection for injury modelling methods in male footballers.

Objectives: This objective of this study was to evaluate whether combining existing methods of elastic net for zero-inflated Poisson and zero-inflated Poisson regression methods could improve real-life applicability of injury prediction models in football. Methods: Predictor selection and model development was conducted on a pre-existing dataset of 24 male participants from a single English football team's 2015/2016 season. Results: The elastic net for zero-inflated Poisson penalty method was successful in shrinking the total number of predictors in the presence of high levels of multicollinearity. It was additionally identified that easily measurable data, that is, mass and body fat content, training type, duration and surface, fitness levels, normalised period of 'no-play' and time in competition could contribute to the probability of acquiring a time-loss injury. Furthermore, prolonged series of match-play and increased in-season injury reduced the probability of not sustaining an injury. Conclusion: For predictor selection, the elastic net for zero-inflated Poisson penalised method in combination with the use of ZIP regression modelling for predicting time-loss injuries have been identified appropriate methods for improving real-life applicability of injury prediction models. These methods are more appropriate for datasets subject to multicollinearity, smaller sample sizes and zero-inflation known to affect the performance of traditional statistical methods. Further validation work is now required

Available tools to evaluate digital health literacy and engagement with eHealth resources: A scoping review

Background: As eHealth and use of information and communication technologies (ICT) within healthcare becomes widespread, it is important to ensure that these forms of healthcare are accessible to the users. One factor that is key to accessing eHealth is digital health literacy. Objectives: This scoping review assesses available tools that can be used to evaluate digital health literacy. Methods: A systematic literature search was made in MEDLINE, CINAHL, APA PsychInfo, Ageline, AMED, and APA PsychArticles to present the tools currently in use to assess digital health literacy. A qualitative synthesis of the evidence was carried out using a data charting form created for this review. Extracted data included details of the population of investigation and digital health literacy tool used. A report was produced following PRISMA-ScR guidelines. Results: In total, 53 papers with adult participants and 3 with adolescent participants (aged between 12 and 19 years) were included in the scoping review. 5 questionnaires were identified that measured digital health literacy or attitudes towards the internet, of which the eHealth Literacy Scale (eHEALS) was the most commonly used questionnaire for both adults and children. Two children’s questionnaires were often accompanied by a second task to verify the accuracy of the responses to the eHEALS questions. Conclusions: eHEALS is the most commonly used method to assess digital health literacy and assess whether an individual is able to engage actively with eHealthcare or virtual resources. However, care needs to be taken to ensure that its administration does not exclude digitally disadvantaged groups from completing it. Future research would benefit from assessing whether digital health literacy tools are appropriate for use in clinical settings, working to ensure that any scales developed in this area are practical and can be used to support the allocation of resources to ensure that people are able to access healthcare equitably

Early prediction of upper limb functioning after stroke using clinical bedside assessments: a prospective longitudinal study.

Early and accurate prediction of recovery is needed to assist treatment planning and inform patient selection in clinical trials. This study aimed to develop a prediction algorithm using a set of simple early clinical bedside measures to predict upper limb capacity at 3-months post-stroke. A secondary analysis of Stroke Arm Longitudinal Study at Gothenburg University (SALGOT) included 94 adults (mean age 68 years) with upper limb impairment admitted to stroke unit). Cluster analysis was used to define the endpoint outcome strata according to the 3-months Action Research Arm Test (ARAT) scores. Modelling was carried out in a training (70%) and testing set (30%) using traditional logistic regression, random forest models. The final algorithm included 3 simple bedside tests performed 3-days post stroke: ability to grasp, to produce any measurable grip strength and abduct/elevate shoulder. An 86-94% model sensitivity, specificity and accuracy was reached for differentiation between poor, limited and good outcome. Additional measurement of grip strength at 4 weeks post-stroke and haemorrhagic stroke explained the underestimated classifications. External validation of the model is recommended. Simple bedside assessments have advantages over more lengthy and complex assessments and could thereby be integrated into routine clinical practice to aid therapy decisions, guide patient selection in clinical trials and used in data registries

Available tools to evaluate digital health literacy and engagement with eHealth resources: A scoping review

Background: As eHealth and use of information and communication technologies (ICT) within healthcare becomes widespread, it is important to ensure that these forms of healthcare are accessible to the users. One factor that is key to accessing eHealth is digital health literacy. Objectives: This scoping review assesses available tools that can be used to evaluate digital health literacy. Methods: A systematic literature search was made in MEDLINE, CINAHL, APA PsychInfo, Ageline, AMED, and APA PsychArticles to present the tools currently in use to assess digital health literacy. A qualitative synthesis of the evidence was carried out using a data charting form created for this review. Extracted data included details of the population of investigation and digital health literacy tool used. A report was produced following PRISMA-ScR guidelines. Results: In total, 53 papers with adult participants and 3 with adolescent participants (aged between 12 and 19 years) were included in the scoping review. 5 questionnaires were identified that measured digital health literacy or attitudes towards the internet, of which the eHealth Literacy Scale (eHEALS) was the most commonly used questionnaire for both adults and children. Two children's questionnaires were often accompanied by a second task to verify the accuracy of the responses to the eHEALS questions. Conclusions: eHEALS is the most commonly used method to assess digital health literacy and assess whether an individual is able to engage actively with eHealthcare or virtual resources. However, care needs to be taken to ensure that its administration does not exclude digitally disadvantaged groups from completing it. Future research would benefit from assessing whether digital health literacy tools are appropriate for use in clinical settings, working to ensure that any scales developed in this area are practical and can be used to support the allocation of resources to ensure that people are able to access healthcare equitably

Implications for the design of a Diagnostic Decision Support System (DDSS) to reduce time and cost to diagnosis in paediatric shoulder instability.

BACKGROUND: Currently the diagnosis of shoulder instability, particularly in children, is difficult and can take time. These diagnostic delays can lead to poorer outcome and long-term complications. A Diagnostic Decision Support System (DDSS) has the potential to reduce time to diagnosis and improve outcomes for patients. The aim of this study was to develop a concept map for a future DDSS in shoulder instability. METHODS: A modified nominal focus group technique, involving three clinical vignettes, was used to elicit physiotherapists decision-making processes. RESULTS: Twenty-five physiotherapists, (18F:7 M) from four separate clinical sites participated. The themes identified related to 'Variability in diagnostic processes and lack of standardised practice' and 'Knowledge and attitudes towards novel technologies for facilitating assessment and clinical decision making'. CONCLUSION: No common structured approach towards assessment and diagnosis was identified. Lack of knowledge, perceived usefulness, access and cost were identified as barriers to adoption of new technology. Based on the information elicited a conceptual design of a future DDSS has been proposed. Work to develop a systematic approach to assessment, classification and diagnosis is now proposed. Trial Registraty This was not a clinical trial and so no clinical trial registry is needed

Evaluating the Associations between Physical Activity, Weight Gain and Academic Attainment in Primary School Children

Objective The aim of this study was to identify if there is an association between physical activity, body mass and academic attainment in primary school children. Methods Eighty-six children at a UK primary school were included in this cohort analysis. Physical activity status was determined using the Physical Activity Questionnaire – Children. Weight and height was measured, and BMI calculated at 4-time points. Academic attainment was measured from national standardised tests. Results Children who are less active demonstrated lower height (mean difference (MD) 0.49 95% CI 0.08 to 0.90), weight (MD 0.58 95% CI 0.12 to 1.04) and BMI z-scores (MD 0.48 95% CI -0.04 to 1.00) than children who are more active. They also had a higher rate of weight gain (0.06 z-score units/month), than children who are more active (0.05*z-core units/ month), and had greater fluctuations in weight. Children who were more active performed significantly better than children who are less active in writing (χ2 16.40, p=0.003) and mathematics (χ2 12.18, p=0.02). Conclusion There does appear to be an association between physical activity, body mass and academic attainment in primary school children, such that lower activity levels negatively effects growth and academic performance. These differences could not be solely explained by physical activity level due to unaccounted socio-economic factor

Physiotherapy, and speech and language therapy intervention for patients with refractory chronic cough: a multicentre randomised control trial.

BACKGROUND: Physiotherapy, and speech and language therapy are emerging non-pharmacological treatments for refractory chronic cough. We aimed to investigate the efficacy of a physiotherapy, and speech and language therapy intervention (PSALTI) to improve health-related quality of life (HRQoL) and to reduce cough frequency in patients with refractory chronic cough. METHODS: In this multicentre randomised controlled trial, patients with refractory chronic cough were randomised to four weekly 1:1 sessions of either PSALTI consisting of education, laryngeal hygiene and hydration, cough suppression techniques, breathing exercises and psychoeducational counselling or control intervention consisting of healthy lifestyle advice. We assessed the change in HRQoL at week 4 with the Leicester Cough Questionnaire (LCQ). Secondary efficacy outcomes included 24-hour objective cough frequency (Leicester Cough Monitor) and cough reflex sensitivity. The primary analysis used an analysis of covariance adjusted for baseline measurements with the intention-to-treat population. This study was registered at UK Clinical Research Network (UKCRN ID 10678). FINDINGS: Between December 2011 and April 2014, we randomly assigned 75 participants who underwent baseline assessment (34 PSALTI and 41 controls). In the observed case analysis, HRQoL (LCQ) improved on average by 1.53 (95% CI 0.21 to 2.85) points more in PSALTI group than with control (p=0.024). Cough frequency decreased by 41% (95% CI 36% to 95%) in PSALTI group relative to control (p=0.030). The improvements within the PSALTI group were sustained up to 3 months. There was no significant difference between groups in the concentration of capsaicin causing five or more coughs. INTERPRETATION: Greater improvements in HRQoL and cough frequency were observed with PSALTI intervention. Our findings support the use of PSALTI for patients with refractory chronic cough. TRIAL REGISTRATION NUMBER: UKCRN ID 10678 and ISRCTN 73039760; Results