[Patient workload and costs, intensity and quality of family doctor prescriptions].
OBJECTIVE
To determine the relationship between some characteristics (cost, intensity, quality) of prescriptions issued by general practitioners in a health district and their patient loads, controlling for possible confounders. To analyze the intensity of prescription of certain groups of therapeutic drugs according to the patient load.


METHODS
Quantitative study of consumption of medicines.


METHODS
Health District n° 20 of the Valencian Health Agency.


METHODS
All patients on the lists of general practitioners (n=122) in the reformed model of primary healthcare in the Health District in 2007.


RESULTS
All official prescriptions issued in 2007 to patients on the 122 lists were analysed. We defined variables relating to the patient load and the cost, intensity and quality of the prescription. The relationship between patient load and prescription characteristics was analysed, adjusting for possible confounders. The intensity of prescription of the 35 most representative groups of therapeutic drugs (81% of prescriptions) was analysed according to patient load. With statistical significance, a lower prescription cost by person (beta=-0,22) and by prescription (beta=-0,26),was found in active patients of the largest patient loads and a lower intensity of prescription of some drugs groups such as antihypertensives (r=-0.23), antidiabetics (r=-0.29) and antiaggregates (r=-0.19).


CONCLUSIONS
We put forward the hypothesis that the active patients in the largest patient loads may be under-diagnosed or undertreated for certain disorders, such as hypertension, diabetes mellitus, or the prevention of cardiovascular risk, thereby contributing to the lower prescription cost in such patient loads.
Simó Miñana
Juan
J
Medicina de Familia, Centro de Salud Altabix, Elche, España. ju.simom@gmail.com
Calvo Pérez
Miriam
M
Beltrán Brotóns
José Luís
JL
D003365:Costs and Cost Analysis; D003430:Cross-Sectional Studies; D011307:Drug Prescriptions / Q000191:economics* / Q000706:statistics & numerical data*; D005194:Family Practice; D006801:Humans; D016526:Workload / Q000706:statistics & numerical data*