Abstract:BackgroundClarifying whether paediatric early warning scores (PEWS) accurately predict significant illness is a research priority for UK and Ireland paediatric emergency medicine (EM). However, a standardised list of significant conditions to benchmark these scores does not exist.ObjectivesTo establish standardised significant illness endpoints for use in determining the performance accuracy of PEWS and safety systems in emergency departments (ED), using a consensus of expert opinion in the UK and Ireland.Desi… Show more
“…The differences between the opinions of the non-consensus patient cases were echoed in the wide range of median scores in the responses, which ranged from 1 (strongly disagree) to 8 (agree). This complexity was also highlighted in a study by Lillitos et al , 22 who aimed to establish a benchmark list defining significant acute paediatric conditions that warrant acute hospital admission from the emergency department, using a Delphi method. They failed to achieve consensus on 37 statements because assessment of sick children’s conditions may vary and depend on many factors, such as the healthcare professional’s experience and the child’s clinical presentation.…”
Section: Discussionmentioning
confidence: 99%
“…They failed to achieve consensus on 37 statements because assessment of sick children’s conditions may vary and depend on many factors, such as the healthcare professional’s experience and the child’s clinical presentation. In the study by Lillitos et al , 22 the authors identified many neutral answers in round 1 and therefore added the response category ‘I don’t look after children with this condition’. We also identified many patient cases in which the healthcare professionals did not have sufficient experience to answer the question, which underscores the complexity of paediatrics.…”
BackgroundPaediatric track and trigger tools (PTTTs) based on vital parameters have been implemented in hospitals worldwide to help healthcare professionals identify signs of critical illness and incipient deterioration in hospitalised children. It has been documented that nurses do not use PTTT as intended, but deviate from PTTT protocols because, in some situations, PTTT observations make little sense to them. The present study aimed to reach consensus on whether automatically generated PTTT scores that are higher than deemed reasonable by healthcare professionals according to their professional experience and clinical expertise may be downgraded.MethodsA two-round modified Delphi technique was used to explore consensus on 14 patient cases for hospitalised children with a high PTTT score that did not raise concerns by systematically collating questionnaire responses. Participants rated their level of agreement on a 9-point Likert scale. IQR and median were calculated for each case.FindingsA total of 221 participants completed round 1 and 101 participants completed round 2. Across the two rounds, majority of the participants were from paediatric departments, nurses and women. In round 1, consensus on inclusion was reached on 2 of the 14 cases. In round 2, consensus was reached on one additional patient case. Three of the 11 non-consensus cases remaining after rounds 1 and 2 were included by the research group based on predefined criteria.ConclusionIn conclusion, a consensus opinion was achieved on six patient cases where the child had a high PTTT score but where the healthcare professionals were not as concerned as indicated by the PTTT score.
“…The differences between the opinions of the non-consensus patient cases were echoed in the wide range of median scores in the responses, which ranged from 1 (strongly disagree) to 8 (agree). This complexity was also highlighted in a study by Lillitos et al , 22 who aimed to establish a benchmark list defining significant acute paediatric conditions that warrant acute hospital admission from the emergency department, using a Delphi method. They failed to achieve consensus on 37 statements because assessment of sick children’s conditions may vary and depend on many factors, such as the healthcare professional’s experience and the child’s clinical presentation.…”
Section: Discussionmentioning
confidence: 99%
“…They failed to achieve consensus on 37 statements because assessment of sick children’s conditions may vary and depend on many factors, such as the healthcare professional’s experience and the child’s clinical presentation. In the study by Lillitos et al , 22 the authors identified many neutral answers in round 1 and therefore added the response category ‘I don’t look after children with this condition’. We also identified many patient cases in which the healthcare professionals did not have sufficient experience to answer the question, which underscores the complexity of paediatrics.…”
BackgroundPaediatric track and trigger tools (PTTTs) based on vital parameters have been implemented in hospitals worldwide to help healthcare professionals identify signs of critical illness and incipient deterioration in hospitalised children. It has been documented that nurses do not use PTTT as intended, but deviate from PTTT protocols because, in some situations, PTTT observations make little sense to them. The present study aimed to reach consensus on whether automatically generated PTTT scores that are higher than deemed reasonable by healthcare professionals according to their professional experience and clinical expertise may be downgraded.MethodsA two-round modified Delphi technique was used to explore consensus on 14 patient cases for hospitalised children with a high PTTT score that did not raise concerns by systematically collating questionnaire responses. Participants rated their level of agreement on a 9-point Likert scale. IQR and median were calculated for each case.FindingsA total of 221 participants completed round 1 and 101 participants completed round 2. Across the two rounds, majority of the participants were from paediatric departments, nurses and women. In round 1, consensus on inclusion was reached on 2 of the 14 cases. In round 2, consensus was reached on one additional patient case. Three of the 11 non-consensus cases remaining after rounds 1 and 2 were included by the research group based on predefined criteria.ConclusionIn conclusion, a consensus opinion was achieved on six patient cases where the child had a high PTTT score but where the healthcare professionals were not as concerned as indicated by the PTTT score.
“…An obvious omission is comparison of Paediatric Early Warning Scores (PEWS) between groups. Currently, there is no consensus nationally on PEWS observations and scoring,21 22 so this analysis was not performed. Finally, due to the descriptive focus of this study, we have not used multiple-testing corrections, so significant comparisons must be interpreted with caution.…”
BackgroundDifferentiating infants with adverse events following immunisation (AEFIs) or invasive bacterial infection (IBI) is a significant clinical challenge. Young infants post vaccination are therefore often admitted to the hospital for parenteral antibiotics to avoid missing rare cases of IBI.MethodsDuring a service evaluation project, we conducted a single-centre retrospective observational study of infants with IBI, urinary tract infection (UTI) or AEFI from two previously published cohorts. All patients presented to hospital in Oxfordshire, UK, between 2011 and 2018, spanning the introduction of the capsular group-B meningococcal vaccine (4CMenB) into routine immunisation schedules. Data collection from paper and electronic notes were unblinded. Clinical features, including National Institute for Health and Care Excellence (NICE) ‘traffic light’ risk of severe illness and laboratory tests performed on presentation, were described, and comparisons made using regression models, adjusting for age and sex. We also compared biochemical results on presentation to those of well infants post vaccination, with and without 4CMenB regimens.ResultsThe study included 232 infants: 40 with IBI, 97 with probable AEFI, 24 with possible AEFI, 27 with UTI and 44 post vaccination ‘well’ infants. C-reactive protein (CRP) was the only discriminatory blood marker, with CRP values above 83 mg/L only observed in infants with IBI or UTI. NICE risk stratification was significantly different between groups but still missed cases of IBI, and classification as intermediate risk was non-differential. Fever was more common in probable AEFI cases, while seizures and rashes were equally frequent. Diarrhoea and clinician-reported irritability or rigours were all more common in IBI.ConclusionsClinical features on presentation may aid risk stratification but cannot reliably differentiate IBI from AEFI in infants presenting to the emergency department. Blood results are generally unhelpful due to post vaccination inflammatory responses, particularly in children receiving 4CMenB vaccination. Improved biomarkers and clinical prediction tools are required to aid management in febrile infants post vaccination.
“…There is no existing gold-standard outcome measure for the decision to admit or discharge a child or young person from the ED, 5 and the decision to admit is a complex one, which can vary between clinicians and hospitals. One EWS system, the Paediatric Observation Priority Score (POPS), recommended by the Intercollegiate Committee for Standards for Children and Young People in Emergency Care Settings 6 has shown initial promise in aiding recognition of unwell children but also aiding safe discharge decisions.…”
ObjectivesTo devise an assessment tool to aid discharge and admission decision-making in relation to children and young people in hospital urgent and emergency care facilities, and thereby improve the quality of care that patients receive, using a clinical prediction modelling approach.DesignObservational cohort study with internal and external validation of a predictive tool.SettingTwo general emergency departments (EDs) and an urgent care centre in the North of England.ParticipantsThe eligibility criteria were children and young people 0–16 years of age who attended one of the three hospital sites within one National Health Service (NHS) organisation. Children were excluded if they opted out of the study, were brought to the ED following their death in the community or arrived in cardiac arrest when the heart rate and respiratory rate would be unmeasurable.Main outcome measuresAdmission or discharge. A participant was defined as being admitted to hospital if they left the ED to enter the hospital for further assessment, (including being admitted to an observation and assessment unit or hospital ward), either on first presentation or with the same complaint within 7 days. Those who were not admitted were defined as having been discharged.ResultsThe study collected data on 36 365 participants. 15 328 participants were included in the final analysis cohort (21 045 observations) and 17 710 participants were included in the validation cohort (23 262 observations). There were 14 variables entered into the regression analysis. Of the 13 that remained in the final model, 10 were present in all 500 bootstraps. The resulting Paediatric Admission Guidance in the Emergency Department (PAGE) score demonstrated good internal validity. The C-index (area under the ROC) was 0.779 (95% CI 0.772 to 0.786).ConclusionsFor units without the immediate availability of paediatricians the PAGE score can assist staff to determine risk of admission. Cut-off values will need to be adjusted to local circumstance.Study protocolThe study protocol has been published in an open access journal: Riaz et al Refining and testing the diagnostic accuracy of an assessment tool (Pennine Acute Hospitals NHS Trust-Paediatric Observation Priority Score) to predict admission and discharge of children and young people who attend an ED: protocol for an observational study. BMC Pediatr 18, 303 (2018). https://doi.org/10.1186/s12887-018-1268-7.Trial registration numberThe protocol has been published and the study registered (NIHR RfPB Grant: PB-PG-0815–20034; ClinicalTrials.gov:213469).
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