title: Analysis of hospitalization rates by electoral ward: relationship to accessibility and deprivation data.
abstract: The objective of this paper is to investigate the relevance of access to hospital services in explaining utilization rates at a District Health Authority level in the UK. In order to test the hypothesis that access is important, it is necessary to develop a means of scoring access factors and then combining these scores with other more recognized influences on hospitalization rates e.g. deprivation measures. Acknowledging that hospitalization rates are not merely products of a population's socio-economic characteristics, the effect of accessibility to hospital services for the resident population is investigated through the derivation of an access score using both private and public transport from electoral ward of residence. Deprivation and accessibility to services were both found to be significant factors in determining hospitalization rates at electoral ward level. The chosen supply variable--number of GPs--was not found to be significant in any of the models developed using linear regression techniques. To conclude, it appears that access plays an important role in determining hospitalization rates within a given population. If high hospitalization rates are accepted as an indicator of effectively met demand then policy makers may have to consider increasing the accessibility of hospital services.
authors.affiliation: York Health Economics Consortium, University of York, UK.
authors.forename: R
authors.initials: R
authors.lastname: Slack
authors.forename: B
authors.initials: B
authors.lastname: Ferguson
authors.forename: S
authors.initials: S
authors.lastname: Ryder
mesh_terms: D002391:Catchment Area, Health; D004651:Employment; D006297:Health Services Accessibility / Q000145:classification / Q000706:statistics & numerical data*; D006301:Health Services Needs and Demand / Q000191:economics / Q000706:statistics & numerical data*; D006779:Hospitals, Public / Q000706:statistics & numerical data*; D015233:Models, Statistical; D010821:Physicians, Family / Q000600:supply & distribution; D011365:Professional Practice Location; D012044:Regression Analysis; D013222:State Medicine; D006113:United Kingdom