Assessing the appropriateness of paediatric hospital admissions in the United Kingdom.
BACKGROUND
In order to assess whether the documented rise in paediatric admissions was due to inappropriate admissions, an objective measure of the appropriateness of paediatric admissions, modified for use in the United Kingdom, was used to measure the level of inappropriate admissions. The relationship of appropriateness of admissions to age, gender, time of admission and source of referral was investigated.


METHODS
A retrospective review was carried out of a sample of paediatric records in 13 NHS district general hospitals in South Eastern England between April 1990 and March 1991 using the Paediatric Appropriateness Evaluation Protocol (PAEP) modified for use in the United Kingdom.


RESULTS
A total of 3,324 paediatric admissions in 13 hospitals were assessed. Eight per cent of the sampled admissions were inappropriate. Age [odds ratio (OR)=0.87], gender (OR = 1.39) and weekend admissions (OR = 1.42) were associated with inappropriate admissions. After controlling for these factors, there was no significant variation between hospitals.


CONCLUSIONS
The low level of inappropriate admissions may be a reflection of well-developed primary care services in the United Kingdom. Alternatives to hospital admission for the assessment of minor self-limiting illness in young children may have a role in reducing inappropriate admissions.
School of Primary Care, Faculty of Medicine, University of Manchester, Rusholme Health Centre, UK.
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A
Esmail
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JA
Quayle
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Roberts
D017677:Age Distribution; D002648:Child; D002675:Child, Preschool; D004739:England; D005260:Female; D006300:Health Services Misuse / Q000706:statistics & numerical data / Q000639:trends; D006767:Hospitals, District; D006769:Hospitals, General; D006776:Hospitals, Pediatric; D006801:Humans; D007223:Infant; D008297:Male; D010343:Patient Admission / Q000592:standards* / Q000706:statistics & numerical data* / Q000639:trends; D012017:Referral and Consultation / Q000592:standards / Q000706:statistics & numerical data / Q000639:trends; D012189:Retrospective Studies; D017678:Sex Distribution; D013222:State Medicine; D013997:Time Factors; D014600:Utilization Review / Q000458:organization & administration*