Abstract:Aims: To gather information on children with minor illness or injury presenting to a paediatric accident and emergency (A&E) department and the decision making process leading to their attendance. Methods: Prospective questionnaire based survey of 465 children selected by systematic sampling from A&E attenders allocated to the lowest triage category. Results: The study population was statistically representative of the total population of A&E attenders. The lower deprivation categories were over represented. E… Show more
“…In this study, the population proportion of young children (<5 years), was associated with A&E rates, as found in some other studies, 9,28 but the population proportion of older adults (>65, >75, or >85 years) had no significant association. This contrasts with the findings of some studies, 24 but supports others.…”
Section: Comparison With Existing Literaturesupporting
confidence: 63%
“…This contrasts with the findings of some studies, 24 but supports others. 9,28 The present study found that the two included ethnic groups were associated with opposite effects on A&E attendance: higher proportions of Asian or Asian British patients were associated with lower A&E attendance rates whereas higher proportions of black or black British patients were associated with higher rates. Earlier studies had shown that white groups used A&E more than those from non-white backgrounds, [11][12][13] although the studies were based on relatively small geographical areas with high proportions of particular non-white ethnic groups and therefore with limited generalisability to other areas of the UK.…”
Section: Comparison With Existing Literaturementioning
confidence: 71%
“…19 It was not possible to include the effect of distance to A&E in this study, which has been found to be important in some previous research, 4,6,12,15 but not others. 28,34 A possible residual confounding factor is the familiarity of the practice population with the organisation of the NHS, likely to be a factor of how long the patients have lived in the UK and which may explain some of the association between A&E attendance and ethnicity. Finally, as with all cross-sectional observational studies, the associations observed can be used to generate hypotheses but cannot demonstrate causality nor explain any observed associations.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…Studies confined to 'self-referrals' may include many patients attending A&E on the advice of healthcare professionals, including those attending for primary care reasons. 28,37 Although discharged attendances are more likely to refer to patients who could have been managed in primary care, this study sought to determine the extent to which primary care could influence total A&E demand, relative to population variables.…”
Section: Comparison With Existing Literaturementioning
“…In this study, the population proportion of young children (<5 years), was associated with A&E rates, as found in some other studies, 9,28 but the population proportion of older adults (>65, >75, or >85 years) had no significant association. This contrasts with the findings of some studies, 24 but supports others.…”
Section: Comparison With Existing Literaturesupporting
confidence: 63%
“…This contrasts with the findings of some studies, 24 but supports others. 9,28 The present study found that the two included ethnic groups were associated with opposite effects on A&E attendance: higher proportions of Asian or Asian British patients were associated with lower A&E attendance rates whereas higher proportions of black or black British patients were associated with higher rates. Earlier studies had shown that white groups used A&E more than those from non-white backgrounds, [11][12][13] although the studies were based on relatively small geographical areas with high proportions of particular non-white ethnic groups and therefore with limited generalisability to other areas of the UK.…”
Section: Comparison With Existing Literaturementioning
confidence: 71%
“…19 It was not possible to include the effect of distance to A&E in this study, which has been found to be important in some previous research, 4,6,12,15 but not others. 28,34 A possible residual confounding factor is the familiarity of the practice population with the organisation of the NHS, likely to be a factor of how long the patients have lived in the UK and which may explain some of the association between A&E attendance and ethnicity. Finally, as with all cross-sectional observational studies, the associations observed can be used to generate hypotheses but cannot demonstrate causality nor explain any observed associations.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…Studies confined to 'self-referrals' may include many patients attending A&E on the advice of healthcare professionals, including those attending for primary care reasons. 28,37 Although discharged attendances are more likely to refer to patients who could have been managed in primary care, this study sought to determine the extent to which primary care could influence total A&E demand, relative to population variables.…”
Section: Comparison With Existing Literaturementioning
“…We know that parents' choice of utilisation is determined by the availability of care, socio-economic factors (Shipman et al, 1997) and their own health beliefs (Hendry et al, 2005). Qualitative research is needed to improve our understanding of parental decision making when choosing which primary care service provider to attend for their children's presenting symptom.…”
Background: Primary care providers and researchers wishing to estimate study recruitment rates need estimates of illness frequency in primary care. Previous studies of children's symptoms have found that presentations are most common for the symptoms: cough, fever, earache, rash, diarrhoea and vomiting. Since 2000, primary care provision in the United Kingdom has changed with the introduction of Walk-in-Centres (WICs) and new Out of Hours (OoHs) providers. Aims: To describe the type and frequency of parent-reported presenting symptoms at a range of primary care sites between 2005 and 2007. Methods: Parent-reported presenting symptoms, recorded in their own words, were extracted from data collected from all children aged six months to six years during recruitment to a randomised controlled trial. Presenting symptoms were coded and presented as frequency per 100 'consulting sessions' by type of primary care site. Findings: Results were evaluated from 2491 episodes of illness at 35 sites. When grouped by primary care site, respiratory symptoms were the most common at OoHs centres, the WIC and general practitioner (GP) surgeries. Trauma symptoms were common in the Emergency Department, but unexpectedly, diarrhoea and vomiting were more common in the Emergency Department and skin presenting symptoms more common at the WIC than at GP sites. Conclusions: We report the relative frequency of acute symptoms by type of primary care provider. These data may be useful to those planning recruitment to primary care paediatric studies and policy makers for planning primary care service provision.
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