Measuring the frequency of "severe" accidental injury in childhood.

Walsh, Simone; Jarvis, Stephen

doi:10.1136/jech.46.1.26

Cited by 53 publications

(29 citation statements)

References 16 publications

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“…Available morbidity data typically consist of Accident and Emergency department attendance records, but often with little information about severity. Given that minor injuries may have different risk factors from the severe ones of interest to health policy makers (Stewart-Brown et al 1986, Walsh andJarvis 1992), these data may be of little use. Other data sets, such as Road Traffic Accident reports from STATS19 are also likely to be of limited use in isolation, given systematic threats to their comprehensiveness (Cryer et al 1995).…”

Section: Injury Reduction: the Evidence Basementioning

confidence: 99%

Epistemology, evidence and experience: evidence based health care in the work of Accident Alliances

Green

2000

Sociology Health & Illness

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Evidence based health care has attracted considerable interest from NHS commissioners, public health specialists and sociologists as both a rational approach to decision making and as representing an ideological shift in health care. This paper explores the social construction of`evidence' in one arena, that of the work of Accident Alliances. Interviews with key participants and observations of meetings suggest a high level of consensus that evidence was important for their work in terms of strategic decision making, operational planning and evaluation. However, evidence was framed differently across the professions and organisations involved in the alliances. Rather than being a neutral tool used to inform decision making, evidence was both constructed through professional practice and contributed to the construction of professional identity. The formal advocacy of evidence based interventions makes explicit a number of potential conflicts in inter-agency working, and Accident Alliances provide an illuminating case study of how these are managed in day-to-day working in health care.

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Section: Injury Reduction: the Evidence Basementioning

confidence: 99%

Epistemology, evidence and experience: evidence based health care in the work of Accident Alliances

Green

2000

Sociology Health & Illness

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“…Whether because of inadequate clinical information in the record or insufficient budgets for clerical transcription, in sorne provinces fewer than half of all injury separations are coded by external cause (58). Hospital separation data must also be generalized with caution because the decision to admit an injured child is often influenced by a variety of other factors such as patient age, bed availability, and social class (65,66).…”

Section: Limitations Of Routinely Collected National Datamentioning

confidence: 99%

Evaluation of the Quality of an Injury Surveillance System

Macarthur

Pless

1999

American Journal of Epidemiology

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“…There is conflicting evidence about socioeconomic gradients in injury morbidity in childhood. Some studies measuring use of health services have found higher rates of injury among children living in disadvantaged areas,3 – 9 but others have failed to find an association 10 – 14. However, factors other than injury occurrence are likely to influence use of health services, such as proximity to hospital, 10 12 admission policies, and deprivation.…”

Section: Introductionmentioning

confidence: 99%

Cross sectional survey of socioeconomic variations in severity and mechanism of childhood injuries in Trent 1992-7

Hippisley‐Cox¹

2002

BMJ

174

103

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Objective To determine the relation between morbidity from injury and deprivation for different levels of injury severity and for different injury mechanisms for children aged 0-14 years. Design Cross sectional survey of routinely collected hospital admission data for injury 1992-7. Setting 862 electoral wards in Trent Region. Subjects 21 587 injury related hospital admissions for children aged 0-4 years and 35 042 admissions for children aged 5-14. Main outcome measures Rate ratios for hospital admission for all injuries, all injuries involving long bone fracture, and all injuries involving long bone fracture requiring an operation; rate ratios for hospital admission for six types of injury mechanism divided by quintiles of the electoral wards' Townsend scores for deprivation. Rate ratios calculated by Poisson regression, with adjustment for distance from nearest hospital admitting patients with injuries, rurality, ethnicity, and percentage of males in each electoral ward. Results Both total number of admissions for injury and admissions for injuries of higher severity increased with increasing socioeconomic deprivation. These gradients were more marked for 0-4 year old children than 5-14 year olds. In terms of injury mechanisms, the steepest socioeconomic gradients (where the rate for the fifth of electoral wards with the highest deprivation scores was >3 times that of the fifth with the lowest scores) were for pedestrian injuries (adjusted rate ratio 3.65 (95% confidence interval 2.94 to 4.54)), burns and scalds (adjusted rate ratio 3.49 (2.81 to 4.34)), and poisoning (adjusted rate ratio 2.98 (2.65 to 3.34)). Conclusion There are steep socioeconomic gradients for injury morbidity including the most common mechanisms of injury. This has implications for targeting injury prevention interventions and resources.

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Measuring the frequency of "severe" accidental injury in childhood.

Cited by 53 publications

References 16 publications

Epistemology, evidence and experience: evidence based health care in the work of Accident Alliances

Epistemology, evidence and experience: evidence based health care in the work of Accident Alliances

Evaluation of the Quality of an Injury Surveillance System

Cross sectional survey of socioeconomic variations in severity and mechanism of childhood injuries in Trent 1992-7

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