Deprivation and hospital use in a non-metropolitan region of England.
OBJECTIVE
To investigate influences on hospital use in a non-metropolitan region of England (Wessex).


METHODS
Least-squares regression analysis was used to identify area predictors, at local authority level, of number of consultant episodes and (separately) of bed use. Variables were assigned for deprivation, strength of primary care, private sector provision, and local levels of ill health. Short-stay (less than 30 days) episodes and bed use were examined separately from long stays.


RESULTS
There were substantial differences between the regression models for number of episodes and bed use, and between those for short stays and long stays. Significant predictors of the number of short-stay episodes were: number of general practitioners, standardised mortality ratio and proportion of residents with limiting long-term illness; these variables did not predict bed use in short-stay episodes. None of the variables was significantly associated with long-stay episodes or bed use.


CONCLUSIONS
Analysis of geographic variation in hospital use should distinguish between short-stay and long-stay use, and should defend the choice of number of admissions versus bed use as the dependent variable. Deprivation was not shown to be a factor influencing bed use in Wessex. This finding argues against the use of a single funding formula across the whole of the country.
D001509:Bed Occupancy / Q000706:statistics & numerical data*; D004739:England; D017050:Episode of Care; D006302:Health Services Research; D006780:Hospitals, Rural / Q000706:statistics & numerical data*; D006801:Humans; D016018:Least-Squares Analysis; D007902:Length of Stay / Q000706:statistics & numerical data; D008507:Medically Underserved Area; D009017:Morbidity; D010343:Patient Admission / Q000706:statistics & numerical data; D011237:Predictive Value of Tests; D017149:Private Sector / Q000706:statistics & numerical data; D012017:Referral and Consultation / Q000706:statistics & numerical data