Estimating need and demand for prehospital care.
Models estimating demand and need for emergency transportation services are developed. These models can provide reliable estimates which can be used for planning purposes, by complementing and/or substituting for historical data. The model estimating demand requires only four independent variables: population in the area, employment in the area, and two indicators of socioeconomic status which can be obtained from census data. The model can be used to estimate demand according to 4 operational categories and 11 clinical categories. The parameters of the model are calibrated with 1979 data from 82 ambulance services covering over 200 minor civil divisions in Southwestern Pennsylvania. This model was tested with data from another 55 minor civil divisions, also in Southwestern Pennsylvania, and it provided good estimates to total demand. The model to estimate need evolves from the demand model. It enables planners to estimate unmet need occurring in the region. The effect of emergency transportation service (ETS) provider characteristics on demand was also investigated. Statistical tests show that, for purposes of forecasting demand, when the sociodemographic factors are taken into account, provider characteristics are not significant.
D000552:Ambulances / Q000600:supply & distribution; D000704:Analysis of Variance; D004632:Emergency Medical Services / Q000706:statistics & numerical data*; D005544:Forecasting / Q000379:methods; D006301:Health Services Needs and Demand / Q000639:trends*; D006302:Health Services Research / Q000639:trends*; D008962:Models, Theoretical; D010414:Pennsylvania; D012959:Socioeconomic Factors