1,721,021 research outputs found

    Dynamic modelling of blood glucose concentration in people with type 1 diabetes

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    The behaviour of blood glucose concentration (BGC) in free living conditions is not well understood in people with type 1 diabetes; in particular, the effect of different types of activity experienced in everyday life has not been fully investigated. Better understanding of the effect of major disturbances to BGC can improve treatment regimes and delay or prevent complications associated with diabetes. The current research investigates approaches to modelling BGC, based on blood glucose, physical activity, food and insulin data collected from a Diabetes UK study. Exploratory analysis of the study data found that BGC is non-stationary and exhibits strong autocorrelation, which varies among and within individuals. Analysis of BGC in the frequency domain also highlights indistinct low-frequency periodicities. However, BGC measurements alone are not enough to predict BGC over several hours using autoregressive models. Dynamic linear models are used to model BGC empirically using inputs from measured physical activity, and estimates of glucose and insulin absorption after food intake and injections, respectively, derived from physiological models in the literature. Dynamic linear models are used for parameter learning and predicting BGC over several hours: the models show some capability for predicting BGC for up to one hour, in particular highlighting periods of low and high BGC, but parameter estimates do not comply with established physiological knowledge. A new semi-empirical compartmental model is developed to impose a structure that incorporates well established physiology. A set of differential equations are converted into a probabilistic Bayesian framework, suitable for simultaneous, model-wide parameter estimation and prediction. A simulation study is conducted to determine the feasibility of using Markov chain Monte Carlo methods as a means for parameter estimation, and test performance in the predictive space. The methods show an ability to estimate a subset of the parameters simultaneously with good coverage, robustness to parameter misspecification, and insensitivity to specification of prior distributions. The current research represents a new paradigm for analysing mathematical models of BGC, and highlights important practical and theoretical issues not previously addressed in the quest for an artificial pancreas as treatment for type 1 diabetes

    Impact of point-of-care testing for respiratory viruses on antibiotic use in adults with exacerbation of airways disease

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    Background: the ResPOC study demonstrated that syndromic molecular point-of-care testing (POCT) for respiratory viruses was associated with early discontinuation of unnecessary antibiotics compared to routine clinical care. Subgroup analysis suggests these changes occur predominantly in patients with exacerbation of airways disease. Use of molecular POCT for respiratory viruses is becoming widespread but there is a lack of evidence to inform the choice between multiplex syndromic panels versus POCT for influenza only.  Materials/methods: we evaluated patients from the ResPOC study with exacerbation of asthma or COPD who were treated with antibiotics. The duration of antibiotics and proportion with early discontinuation were compared between patients testing positive and negative for viruses by POCT, and controls. Patients testing positive for viruses by POCT were compared according to virus types. Results: 118 patient with exacerbation of airways disease received antibiotics in the POCT group and 111 in the control group. In the POCT group 49/118(42%) patients tested positive for viruses. Of those testing positive for viruses 17/49(35%) had early discontinuation of antibiotics versus 9/69(13%) testing negative and 7/111(6%) of controls, p<0.0001. Of those positive for viruses by POCT 10/49(20%) were positive for influenza, 21/49 43%) for rhinovirus and 18/49(37%) for other viruses. The proportion with early discontinuation of antibiotics was not different between the virus types (p=0.34). Conclusions: this data suggested that syndromic molecular POCT for respiratory viruses should be favoured over POCT for influenza alone in adults with exacerbation of airways disease.International Standard Randomised Controlled Trial Number (ISRCTN): 9021164

    A pilot cluster randomised controlled trial, of an IMPlicit learning approach versus standard care, on recovery of mobility following stroke (IMPS)

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    Objectives: to evaluate the delivery of rehabilitation using implicit motor learning principles in an acute stroke setting. Design: pilot, assessor-blind, cluster randomised controlled trial with nested qualitative evaluation. Setting: eight inpatient stroke units, UK. Participants: people within 14 days of stroke onset, presenting with lower limb hemiplegia. Interventions: participants at control clusters received usual care. Participants at intervention clusters received rehabilitation using an Implicit Learning Approach (ILA); primarily consisting of reduced frequency instructions/feedback, and promotion of an external focus of attention. Video recording was used to understand the ability of intervention site therapists to adhere to the implicit learning principles, and to compare differences between groups. Measures: ability to recruit and retain clusters/participants; suitability and acceptability of data collection processes; appropriateness of fidelity monitoring methods; and appropriateness of chosen outcome measures. Results: eight stroke units participated, with four assigned to each group (intervention/control). Fifty-one participants were enrolled (intervention group 21; control group 30). Mean time since stroke was 6 days (SD 3.42; 0–14); mean age was 73 years (SD 14, 25–94). Of those approached to take part, 72% agreed. We found clear differences between groups with respect to the frequency and type of instructional statement. The ILA was acceptable to both patients and therapists. Conclusion: it is feasible to evaluate the application and effectiveness of motor learning principles within acute stroke rehabilitation, using a cluster randomised design. A larger study is required to evaluate the benefits of each approach; we provide a range of sample size estimates required for this.</p

    Are long shifts, overtime and staffing levels associated with nurses’ opportunity for educational activities, communication and continuity of care assignments? A cross-sectional study

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    Background &amp; Objectives: previous research demonstrates the impact of workforce organisation variables on quality of care and nurse wellbeing. However, the extent to which these variables influence completion of important “ancillary” nursing work is unexplored. This type of work can include discussion of care information between colleagues, promoting continuity of care during shift changes, and participating in continuing professional development programs. Although ancillary work is not usually classified as direct nursing care, it remains critical to the delivery of safe and effective care, as well as for building nurse resiliency and workforce capacity. Our aim was to examine the relationship between ≥12-hour shifts, overtime, and lower staffing levels and opportunities for completing ancillary work. Design &amp; Methods: cross-sectional survey of 2990 registered nurses in 48 hospitals in England. Relationships were estimated through generalised linear mixed models.Results: when compared to ≤8 hour shifts, nurses working ≥12-hour shifts were less likely to report having staff education programs (OR=0.58, 95% CI [0.43, 0.76]) and enough opportunity to discuss patient care with other nurses (OR=0.72, 95% CI [0.56, 0.92]). When compared to working overtime, nurses working only scheduled hours reported more opportunities these activities (OR=1.31, 95% CI [1.07, 1.61] and OR=2.06, 95% CI [1.72, 2.47] respectively), and reported fewer cases of losing care information during handovers (OR=0.72, 95% CI [0.60, 0.86]). Furthermore, with each additional patient per nurse (i.e., higher workloads), poorer outcomes for all variables of interest were observed. Conclusion:lLong shifts, overtime, and lower staffing levels are associated with fewer reported opportunities for completing ancillary work. Our findings contribute to the large body of literature exploring the drawbacks of implementing short-term solutions for nurse shortages and warrant careful consideration when establishing nursing shift rotas and staffing policies

    Health Literacy Levels of Patients with Chronic Obstructive Pulmonary Disorder; a Cross-Sectional Study

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    Health literacy is defined as an individual's ability to access, understand and use information to make informed decisions. This study aimed to assess health literacy levels and explore the relationship between health literacy and chronic obstructive pulmonary disease (COPD) severity. A cross-sectional study of health literacy in patients with COPD used the Health Literacy Questionnaire (HLQ) and the Medical Research Council Breathlessness Scale to assess COPD severity. HLQ domains of ‘having sufficient information to manage my health’, ‘actively managing health’, and ‘understanding health information’ scored most highly. Patients with the greatest COPD severity had lower scores in the domain ‘having sufficient information to manage my health’, but indicated an improved ability to appraise health information. Patients with increased COPD severity have greater self-reported skills in appraising health information, but they report reduced confidence in having sufficient information to manage their health. This study highlights the importance of considering health literacy levels, as this could be a barrier to successful self-management

    Accuracy of Nature of Call screening tool in identifying patients requiring treatment for out of hospital cardiac arrest

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    Background A new pre-triage screening tool, Nature of Call (NoC), has been introduced into the telephone triage system of UK ambulance services which employ National Health Service Pathways (NHSP). Its function is to provide rapid recognition of patients who may need immediate ambulance dispatch for out-of-hospital cardiac arrest (OHCA) and withholding dispatch for other calls while further triage is undertaken. In this study, we evaluated the accuracy of NoC and NHSP in identifying patients with potentially treatable or imminent OHCA.Methods This retrospective, observational study reviewed consecutive calls to a UK ambulance service between October 2016 and February 2017 in which NOC, and then NHSP were applied sequentially. Only those calls for which a corresponding electronic Patient Clinical Record was available were included. Sensitivity and specificity of NOC and NHSP for recognition of an OHCA were determined by comparing allocated priority dispositions with an OHCA Treatment Registry (OHCATR).Results Of 96 423 calls received, 71 373 were reviewed. For 590 (0.8%) of these calls, the patients received treatment for OHCA. NOC identified 458 OHCATR patients; NHSP identified 467; together they identified 496. NoC captured 29 patients not identified by NHSP; NHSP captured 38 patients not identified by NOC. For NOC sensitivity was 77.6% (95% CI 74.1 to 80.8) and specificity 86.9% (95% CI 86.6 to 87.1). NHSP sensitivity was 79.2% (95% CI 75.7 to 82.2) and specificity 93.4% (95% CI 93.2 to 93.6). NoC and NHSP combined had a sensitivity of 84.1% (95% CI 80.9 to 86.8) and specificity of 85.3% (95% CI 85.1 to 85.6).Conclusions NoC and NHSP call categorisation each achieved similar sensitivity for the identification of OHCATR, identifying most of the same patients, but each captured unique patients. Using both methods sequentially improved accuracy. The 16% of OHCATR patients not identified by either method present a challenge to ambulance dispatch systems

    Practical recommendations for implementing a Bayesian adaptive phase I design during a pandemic

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    Background: Modern designs for dose-finding studies (e.g., model-based designs such as continual reassessment method) have been shown to substantially improve the ability to determine a suitable dose for efficacy testing when compared to traditional designs such as the 3 + 3 design. However, implementing such designs requires time and specialist knowledge. Methods: We present a practical approach to developing a model-based design to help support uptake of these methods; in particular, we lay out how to derive the necessary parameters and who should input, and when, to these decisions. Designing a model-based, dose-finding trial is demonstrated using a treatment within the AGILE platform trial, a phase I/II adaptive design for novel COVID-19 treatments. Results: We present discussion of the practical delivery of AGILE, covering what information was found to support principled decision making by the Safety Review Committee, and what could be contained within a statistical analysis plan. We also discuss additional challenges we encountered in the study and discuss more generally what (unplanned) adaptations may be acceptable (or not) in studies using model-based designs. Conclusions: This example demonstrates both how to design and deliver an adaptive dose-finding trial in order to support uptake of these methods

    Time spent in rehabilitation and effect on measures of activity after stroke

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    This is a protocol for a Cochrane Review (Intervention). The objectives are as follows:·To establish if greater time spent in rehabilitation results in greater improvement in measures of activity than less time spent in rehabilitation.·To assess the effect of total time spent (in minutes) in rehabilitation on activity/activity limitations following stroke.·To assess the effect of rehabilitation schedule on activity/activity limitations following stroke in terms of:    ·average minutes of rehabilitation provided per week;    ·average frequency of rehabilitation provided per week;    ·total duration of rehabilitation.<br/
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