title: [The professional and the organization in the use of primary care resources].
abstract: OBJECTIVE
  To analyse the professional profile and organization influence about sanitary resources use.
  
  
  METHODS
  Cross-sectional descriptive study.
  
  
  METHODS
  Primary care in the Community of Murcia.
  
  
  METHODS
  Data were collected in the Information and Register Unit of the Primary Care Management and through personal survey about the personal and professional features of the physicians, place of work, accessibility and availability and the resources use of themselves. A two-variable study was made selecting the significant variables for the multiple regression test and multiple analysis of variance, with the corresponding multiple classification analysis.
  
  
  RESULTS
  24% of the frequency can be explained through the professional profile of the physicians and the organization of work of place. Resource use depend on this variables between 7% drugs use) and 46% (tapping to specialists), taking into account that the size of the quota, the greater than 65 years old persons proportion and the size of the town are the most variability explaining variables.
  
  
  CONCLUSIONS
  In our area, the professional profile and organization have a scarce influence in the utilization of sanitary resource.
authors.affiliation: Centro de Salud Docente de Santa María de Gracia, Murcia. Rafaelfr@Larural.es
authors.forename: M J
authors.initials: MJ
authors.lastname: Gonzálvez Lozano
authors.forename: D
authors.initials: D
authors.lastname: Gómez-Calcerrada Berrocal
authors.forename: M C
authors.initials: MC
authors.lastname: de Maya Matallana
authors.forename: C
authors.initials: C
authors.lastname: Mendoza García
mesh_terms: D000704:Analysis of Variance; D003430:Cross-Sectional Studies; D004363:Drug Utilization; D006295:Health Resources / Q000706:statistics & numerical data*; D006801:Humans; D015279:Organizational Culture; D011364:Professional Practice / Q000592:standards*; D012017:Referral and Consultation / Q000706:statistics & numerical data; D012044:Regression Analysis