logo BDSP

Base documentaire


  1. Informing prescribing allocations at district level in England.

    Article - En anglais

    Objectives 

    To derive a predictive model based on the morbidity, demographic and socio-economic characteristics of district populations to explain variations in prescribing costs in England.

    Method 

    Inter-relations between morbidity, demographic, socio-economic, general practice supply characteristics and net ingredient cost per age, sex and temporary resident originated prescribing unit (ASTRO-PU) were explored statistically for 90 districts in England using 1994 cost data.

    The possibility of mutual inter-relationship between'supply'and'demand'was examined ; then the associations between a range of factors and prescribing costs were estimated using ordinary least squares regression and the predictive power of the possible models was systematically examined.

    Results 

    Whilst there was a relatively weak relationship between the supply factors that were measured, there did not appear to be any reciprocal relationship.

    Three parsimonious models estimated using ordinary least squares multiple regression techniques based on combinations of permanent sickness, low birth weight and the proportion of general practitioners registered for postgraduate certificate of education were identified.

    The models explained up to 61% of variation between districts in prescribing costs.

    Conclusions 

    Need'and'supply'characteristics are independently associated with variations in prescribing costs at district level. (...)

    Mots-clés Pascal : Royaume Uni, Europe, Monde, Facteur sociodémographique, Méthodologie, Statut socioéconomique, Economie, Morbidité, Information, Santé, Formation, Age, Population, Démographie, Sexe, Médecin généraliste, Médecin, Personnel sanitaire, Travailleur social, Europe Ouest, Aspect politique, Géographie, Coût, Economie santé, Indicateur, Mesure, Offre, Soin, Demande

    Mots-clés Pascal anglais : United Kingdom, Europe, World, Sociodemographic factor, Methodology, Socioeconomic status, Economy, Morbidity, Information, Health, Formation, Age, Population, Demography, Sex, General practitioner, Physician, Health staff, Social worker, Western Europe, Political aspect, Geography, Costs, Health economy, Indicator, Measurement, Offer, Care, Demand

    Notice produite par :
    ORS Auvergne - Observatoire Régional de la Santé d'Auvergne

    Code Inist : 002B30A11. Création : 21/07/1998.