Explore the vast range of titles available.

ObjectivesSepsis is a leading cause of deterioration leading to unplanned transfer to critical care (UTCC) in hospitalised children, but there are few published studies evaluating the predictive performance of severity scores outside critical care. We aimed to compare the predictive performance of eight different severity scores in predicting UTCC and multiple organ dysfunction syndrome (MODS) in hospitalised children treated for sepsis.MethodsEligible inpatients who were treated for sepsis before having UTCCs were identified prospectively between 1 March 2018 to 28 February 2019, each patient was matched with two controls who did not transfer to critical care or have sepsis. The worst Alder Hey PEWS within 24 hours of UTCC were collected from the electronic patient record. National PEWS (Paediatric Early Warning Score), pSOFA (paediatric Sequential Organ Failure Assessment), qSOFA (quick Sequential Organ Failure Assessment), LqSOFA (Liverpool quick Sequential Organ Failure Assessment), P-MODS (Pediatric Multiple Organ Dysfunction Score), PELOD-2 (Paediatric Logistic Organ Dysfunction-2) and PODIUM (Paediatric Organ Dysfunction Information Update Mandate) criteria were calculated using the worst observations and laboratory results in the last 24 hours preceding UTCC. The primary outcomes were UTCC and MODS. The secondary outcomes were sepsis-related mortality, critical care (CC) stay>=5 days and invasive ventilation duration>2 days.ResultsA total of 75 UTCCs occurred in children treated for sepsis and 31 (41%) had MODS. Two (3%) children had sepsis-related mortality, 45 (60%) had CC stay>=5 days and 24 (32%) had invasive ventilation >2 days. PEWS had excellent predictive performances for UTCCs (AUCs 0.86–0.91) and PODIUM criteria and PELOD-2 showed superior performance for MODS (AUCs 0.72–0.79).ConclusionOverall performance of the severity and organ dysfunction scores were good in hospitalised children treated for sepsis with UTCC. Further validation is needed in hospitalised children who experience UTCCs from other causes.

Background Paediatric Early Warning Scores (PEWS) enhance patient safety, by focused monitoring of vital signs to identify children at risk of deteriorating. However, there is an acknowledged need for standardisation. The aim of this study was to compare the performance of seven PEWS (Alder Hey, Bedside, Bristol, Irish, Newcastle, Scottish and the proposed National PEWS for England (v3)) utilised in clinical practice in the United Kingdom and Ireland. The primary outcome was occurrence of a critical deterioration event (CDE) in hospitalised children, and secondary outcome was 72-hour hospital mortality. Methods 250 patient episodes were identified over a 12-month period. Cases were matched 2:1 with controls; using age range and admitting specialty. PEWS were calculated, along with performance characteristics. Maximum PEWS were calculated at 24, 12, 6 and 4 h prior to CDE or discharge, and area under the receiver operating curve (AUC) used to measure performance. Sub-group analysis explored performance within 3 specialities observed to have increased risk for deterioration. Kaplan-Meier survival curves compared time to event data using the identified optimum PEWS performance cut-point. Results The median age of patients experiencing CDE was 8 months. AUCs across all PEWS in predicting CDE, ranged from 0·87 to 0·95. Optimum cut-offs for each PEWS were identified. Kaplan-Meier curves for cumulative risk of time to CDE according to the PEWS stratification, demonstrated CDE was significantly less likely for patients below the cut-off values (log-rank test, p  < 0·001). Conclusions All seven PEWS assessed demonstrate excellent predictive ability for CDE, in a heterogenous cohort. For evaluation of PEWS performance, CDE is a more appropriate outcome measure than hospital mortality, due to low mortality outside PICU. A standardised PEWS allows consistency, benchmarking and opportunity for continuing recalibration.

Background Paediatric early warning systems (PEWS) are a means of tracking physiological state and alerting healthcare professionals about signs of deterioration, triggering a clinical review and/or escalation of care of children. A proactive end-to-end deterioration solution (the DETECT surveillance system) with an embedded e-PEWS that included sepsis screening was introduced across a tertiary children’s hospital. One component of the implementation programme was a sub-study to determine an understanding of the DETECT e-PEWS in terms of its clinical utility and its acceptability. Aim This study aimed to examine how parents and health professionals view and engage with the DETECT e-PEWS apps, with a particular focus on its clinical utility and its acceptability. Method A prospective, closed (tick box or sliding scale) and open (text based) question, e-survey of parents (n = 137) and health professionals (n = 151) with experience of DETECT e-PEWS. Data were collected between February 2020 and February 2021. Results Quantitative data were analysed using descriptive and inferential statistics and qualitative data with generic thematic analysis. Overall, both clinical utility and acceptability (across seven constructs) were high across both stakeholder groups although some challenges to utility (e.g., sensitivity of triggers within specific patient populations) and acceptability (e.g., burden related to having to carry extra technology) were identified. Conclusion Despite the multifaceted nature of the intervention and the complexity of implementation across a hospital, the system demonstrated clinical utility and acceptability across two key groups of stakeholders: parents and health professionals.

ObjectivePaediatric Early Warning Scores (PEWS) are widely used in the UK, but the heterogeneity across tools and the limited data on their predictive performance represent obstacles to improving best practice. The standardisation of practice through the proposed National PEWS will rely on robust validation. Therefore, we compared the performance of the National PEWS with six other PEWS currently used in NHS hospitals, for their ability to predict critical care (CC) admission in febrile children attending the emergency department (ED).DesignRetrospective single-centre cohort study.SettingTertiary hospital paediatric ED.ParticipantsA total of 11 449 eligible febrile ED attendances were identified from the electronic patient record over a 2-year period. Seven PEWS scores were calculated (Alder Hey, Bedside, Bristol, National, Newcastle and Scotland PEWS, and the Paediatric Observation Priority Score, using the worst observations recorded during their ED stay.OutcomesThe primary outcome was CC admission within 48 hours, the secondary outcomes were hospital length of stay (LOS) >48 hours and sepsis-related mortality.ResultsOf 11 449 febrile children, 134 (1.2%) were admitted to CC within 48 hours of ED presentation, 606 (5.3%) had a hospital LOS >48 hours. 10 (0.09%) children died, 5 (0.04%) were sepsis-related. All seven PEWS demonstrated excellent discrimination for CC admission (range area under the receiver operating characteristic curves (AUC) 0.91–0.95) and sepsis-related mortality (range AUC 0.95–0.99), most demonstrated moderate discrimination for hospital LOS (range AUC 0.69–0.75). In CC admission threshold analyses, bedside PEWS (AUC 0.90; 95% CI 0.86 to 0.93) and National PEWS (AUC 0.90; 0.87–0.93) were the most discriminative, both at a threshold of ≥6.ConclusionsOur results support the use of the proposed National PEWS in the paediatric ED for the recognition of suspected sepsis to improve outcomes, but further validation is required in other settings and presentations.

Background Unplanned critical care admissions following in-hospital deterioration in children are expected to impose a significant burden for carers across a number of dimensions. One dimension relates to the financial and economic impact associated with the admission, from both direct out-of-pocket expenditures, as well as indirect costs, reflecting productivity losses. A robust assessment of these costs is key to understand the wider impact of interventions aiming to reduce in-patient deterioration. This work aims to determine the economic burden imposed on carers caring for hospitalised children that experience critical deterioration events. Methods Descriptive study with quantitative approach. Carers responded to an online survey between July 2020 and April 2021. The survey was developed by the research team and piloted before use. The sample comprised 71 carers of children admitted to a critical care unit following in-patient deterioration, at a tertiary children’s hospital in the UK. The survey provides a characterisation of the carer’s household and estimates of direct non-medical costs grouped in five different expenditure categories. Productivity losses can also be estimated based on the reported information. Results Most carers reported expenditures associated to the child’s admission in the week preceding the survey completion. Two-thirds of working carers had missed at least one workday in the week prior to the survey completion. Moreover, eight in ten carers reported having had to travel from home to the hospital at least once a week. These expenditures, on average, amount to £164 per week, grouped in five categories (38% each to travelling costs and to food and drink costs, with accommodation, childcare, and parking representing 12%, 7% and 5%, respectively). Additionally, weekly productivity losses for working carers are estimated at £195. Conclusion Unplanned critical care admissions for children impose a substantial financial burden for carers. Moreover, productivity losses imply a subsequent cost to society. Even though subsidised hospital parking and on-site accommodation at the hospital contribute to minimising such expenditure, the overall impact for carers remains high. Interventions aiming at reducing emergency critical care admissions, or their length, can be crucial to further contribute to the reduction of this burden. Trial Registration Current Controlled Trials ISRCTN61279068, date of registration 07/06/2019, retrospectively registered.

Background Paediatric early warning systems (PEWS) are a means of tracking physiological state and alerting healthcare professionals about signs of deterioration, triggering a clinical review and/or escalation of care of children. A proactive end-to-end deterioration solution (the DETECT surveillance system) with an embedded e-PEWS that included sepsis screening was introduced across a tertiary children's hospital. One component of the implementation programme was a sub-study to determine an understanding of the DETECT e-PEWS in terms of its clinical utility and its acceptability. Aim This study aimed to examine how parents and health professionals view and engage with the DETECT e-PEWS apps, with a particular focus on its clinical utility and its acceptability. Method A prospective, closed (tick box or sliding scale) and open (text based) question, e-survey of parents (n = 137) and health professionals (n = 151) with experience of DETECT e-PEWS. Data were collected between February 2020 and February 2021. Results Quantitative data were analysed using descriptive and inferential statistics and qualitative data with generic thematic analysis. Overall, both clinical utility and acceptability (across seven constructs) were high across both stakeholder groups although some challenges to utility (e.g., sensitivity of triggers within specific patient populations) and acceptability (e.g., burden related to having to carry extra technology) were identified. Conclusion Despite the multifaceted nature of the intervention and the complexity of implementation across a hospital, the system demonstrated clinical utility and acceptability across two key groups of stakeholders: parents and health professionals.

Background Paediatric mortality rates in the United Kingdom are amongst the highest in Europe. Clinically missed deterioration is a contributory factor. Evidence to support any single intervention to address this problem is limited, but a cumulative body of research highlights the need for a systems approach. Methods An evidence-based, theoretically informed, paediatric early warning system improvement programme (PUMA Programme) was developed and implemented in two general hospitals (no onsite Paediatric Intensive Care Unit) and two tertiary hospitals (with onsite Paediatric Intensive Care Unit) in the United Kingdom. Designed to harness local expertise to implement contextually appropriate improvement initiatives, the PUMA Programme includes a propositional model of a paediatric early warning system, system assessment tools, guidance to support improvement initiatives and structured facilitation and support. Each hospital was evaluated using interrupted time series and qualitative case studies. The primary quantitative outcome was a composite metric (adverse events), representing the number of children monthly that experienced one of the following: mortality, cardiac arrest, respiratory arrest, unplanned admission to Paediatric Intensive Care Unit, or unplanned admission to Higher Dependency Unit. System changes were assessed qualitatively through observations of clinical practice and interviews with staff and parents. A qualitative evaluation of implementation processes was undertaken. Results All sites assessed their paediatric early warning systems and identified areas for improvement. All made contextually appropriate system changes, despite implementation challenges. There was a decline in the adverse event rate trend in three sites; in one site where system wide changes were organisationally supported, the decline was significant (ß = -0.09 (95% CI: − 0.15, − 0.05); p  = < 0.001). Changes in trends coincided with implementation of site-specific changes. Conclusions System level change to improve paediatric early warning systems can bring about positive impacts on clinical outcomes, but in paediatric practice, where the patient population is smaller and clinical outcomes event rates are low, alternative outcome measures are required to support research and quality improvement beyond large specialist centres, and methodological work on rare events is indicated. With investment in the development of alternative outcome measures and methodologies, programmes like PUMA could improve mortality and morbidity in paediatrics and other patient populations.

Background Electronic early warning systems have been used in adults for many years to prevent critical deterioration events (CDEs). However, implementation of similar technologies for monitoring children across the entire hospital poses additional challenges. While the concept of such technologies is promising, their cost-effectiveness is not established for use in children. In this study we investigate the potential for direct cost savings arising from the implementation of the DETECT surveillance system. Methods Data were collected at a tertiary children’s hospital in the United Kingdom. We rely on the comparison between patients in the baseline period (March 2018 to February 2019) and patients in the post-intervention period (March 2020 to July 2021). These provided a matched cohort of 19,562 hospital admissions for each group. From these admissions, 324 and 286 CDEs were observed in the baseline and post-intervention period, respectively. Hospital reported costs and Health Related Group (HRG) National Costs were used to estimate overall expenditure associated with CDEs for both groups of patients. Results Comparing post-intervention with baseline data we found a reduction in the total number of critical care days, driven by an overall reduction in the number of CDEs, however without statistical significance. Using hospital reported costs adjusted for the Covid-19 impact, we estimate a non-significant reduction of total expenditure from £16.0 million to £14.3 million (corresponding to £1.7 million of savings – 11%). Additionally, using HRG average costs, we estimated a non-significant reduction of total expenditure from £8.2 million to £ 7.2 million (corresponding to £1.1 million of savings – 13%). Discussion and conclusion Unplanned critical care admissions for children not only impose a substantial burden on patients and families but are also costly for hospitals. Interventions aimed at reducing emergency critical care admissions can be crucial to contribute to the reduction of these episodes’ costs. Even though cost reductions were identified in our sample, our results do not support the hypothesis that reducing CDEs using technology leads to a significant reduction on hospital costs. Trial registration Current Controlled Trials ISRCTN61279068, date of registration 07/06/2019, retrospectively registered.

ObjectiveTo identify the core components of successful early warning systems for detecting and initiating action in response to clinical deterioration in paediatric inpatients.MethodsA hermeneutic systematic literature review informed by translational mobilisation theory and normalisation process theory was used to synthesise 82 studies of paediatric and adult early warning systems and interventions to support the detection of clinical deterioration and escalation of care. This method, which is designed to develop understanding, enabled the development of a propositional model of an optimal afferent component early warning system.ResultsDetecting deterioration and initiating action in response to clinical deterioration in paediatric inpatients involves several challenges, and the potential failure points in early warning systems are well documented. Track and trigger tools (TTT) are commonly used and have value in supporting key mechanisms of action but depend on certain preconditions for successful integration into practice. Several supplementary interventions have been proposed to improve the effectiveness of early warning systems but there is limited evidence to recommend their wider use, due to the weight and quality of the evidence; the extent to which systems are conditioned by the local clinical context; and the need to attend to system component relationships, which do not work in isolation. While it was not possible to make empirical recommendations for practice, the review methodology generated theoretical inferences about the core components of an optimal system for early warning systems. These are presented as a propositional model conceptualised as three subsystems: detection, planning and action.ConclusionsThere is a growing consensus of the need to think beyond TTTs in improving action to detect and respond to clinical deterioration. Clinical teams wishing to improve early warning systems can use the model to consider systematically the constellation of factors necessary to support detection, planning and action and consider how these arrangements can be implemented in their local context.PROSPERO registration numberCRD42015015326.

Background Paediatric early warning systems (PEWS) alert health professionals to signs of a child’s deterioration with the intention of triggering an urgent review and escalating care. They can reduce unplanned critical care transfer, cardiac arrest, and death. Electronic systems may be superior to paper-based systems. The objective of the study was to critically explore the initial experiences and perceptions of health professionals about the acceptability of DETECT e-PEWS, and what factors influence its acceptability. Methods A descriptive qualitative study (part of The DETECT study) was undertaken February 2020–2021. Single, semi-structured telephone interviews were used. The setting was a tertiary children’s hospital, UK. The participants were health professionals working in study setting and using DETECT e-PEWS. Sampling was undertaken using a mix of convenience and snowballing techniques. Participants represented two user-groups: ‘documenting vital signs’ (D-VS) and ‘responding to vital signs’ (R-VS). Perceptions of clinical utility and acceptability of DETECT e-PEWS were derived from thematic analysis of transcripts. Results Fourteen HPs (12 nurses, 2 doctors) participated; seven in D-VS and seven in the R-VS group. Three main themes were identified: complying with DETECT e-PEWS, circumventing DETECT e-PEWS, and disregarding DETECT e-PEWS. Overall clinical utility and acceptability were deemed good for HPs in the D-VS group but there was diversity in perception in the R-VS group (nurses found it more acceptable than doctors). Compliance was better in the D-VS group where use of DETECT e-PEWS was mandated and used more consistently. Some health professionals circumvented DETECT e-PEWS and fell back into old habits. Doctors (R-VS) did not consistently engage with DETECT e-PEWS, which reduced the acceptability of the system, even in those who thought the system brought benefits. Conclusions Speed and accuracy of real-time data, automation of triggering alerts and improved situational awareness were key factors that contributed to the acceptability of DETECT e-PEWS. Mandating use of both recording and responding aspects of DETECT e-PEWS is needed to ensure full implementation.