Short stay emergency admissions to a West Midlands NHS Trust: a longitudinal descriptive study, 2002 2005.
OBJECTIVE
To describe changes and characteristics in emergency admissions to a West Midlands National Health Service Trust, 2002-2005, with a focus on short stay emergency admissions.


METHODS
A longitudinal descriptive study using retrospective analysis of routine admissions data. Admissions were categorised as short (0/1 day) or long (>or=2 days) and examined separately using a General Linear Model. Factors favouring short stays as opposed to long stays were examined using multivariable logistic regression.


RESULTS
There were 151 478 emergency admissions to the Trust between 1 April 2002 and 31 December 2005, of which 2910 (1.92%) had no discharge date recorded. Adjusted means showed a 7.76% increase in emergency admissions in winter months (October-January) and a 14.50% increase across the study period. Increases were greater in short stay (34.03%) than long stay emergency admissions (8.38%). Odds of short stays in admitted patients increased by 25%. Higher odds of short stays were also associated with younger age, winter month and medical admitting specialty (p<0.001).


CONCLUSIONS
Increases in emergency admissions were greater in short stay than long stay cases. Reasons for this may be both appropriate (increased use of clinical protocols and falling average length of stay) and detrimental (pressure to meet 4 h emergency department target, changing primary care provision). Further research is needed before generalising findings to other Trusts.
Sibly
E
E
Birmingham Medical School, Birmingham, UK.
Wiskin
C M
CM
Holder
R L
RL
Cooke
M W
MW
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007902:Length of Stay / Q000706:statistics & numerical data*; D016015:Logistic Models; D008137:Longitudinal Studies; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D010343:Patient Admission / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D013222:State Medicine / Q000706:statistics & numerical data*; D006113:United Kingdom / Q000453:epidemiology