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Incorporación de la prescripción electrónica en un distrito de atención primaria: implicaciones en el gasto farmacéutico y factores determinantes de su utilización
OBJECTIVE: To analyse the impact of using the electronic prescription on pharmaceutical expenditure (PE), and to explore the factors determining its use. METHODS: Two multiple regression models were constructed. For these two models, the PE and the percentage of electronic prescription use were take...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985474/ https://www.ncbi.nlm.nih.gov/pubmed/23199884 http://dx.doi.org/10.1016/j.aprim.2012.09.016 |
Sumario: | OBJECTIVE: To analyse the impact of using the electronic prescription on pharmaceutical expenditure (PE), and to explore the factors determining its use. METHODS: Two multiple regression models were constructed. For these two models, the PE and the percentage of electronic prescription use were taken respectively as dependent variables. Data from nine Primary care centres were included. RESULTS: Each point increase in prescription by active principle (PAP) was associated with an average reduction of 2,079 PE € per year. In contrast, every percentage increase in the use of electronic prescriptions was associated with an annual increase of 1,027 €. In addition, factors like card adjusted for age and type of pharmacy (TAFE) allocated (€ 36.71/year), the burden of care (€ 2,585/year) and frequency of clinic visits (€ 17,148/year), were also associated with increased PE. The other factors associated with an increase in the electronic prescriptions were, lower rurality rates, greater distance from the capital, greater PAP, as well as less clinic visits. CONCLUSIONS: Electronic prescription use seems to be a predictor of pharmaceutical expenditure in which every percentage increase relates to an average annual increase of 1,027 Euros. This variable along with the prescription by active principle, and the amount of TAFEs assigned, as well as the burden of care and number of visits, are variables which help to explain more than 65% of the PE variability between physicians. Likewise, the increase in expenditures related to electronic prescriptions seems to occur at the expense of increasing number of prescriptions per patient. |
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