title: [Morbidity observed in a health area: Impact on professionals and funding].
abstract: OBJECTIVE
  To analyze morbidity, in the context of a health area, and broken down by health centre, of patients who made contact with healthcare services, in order to propose an adjustment to finance the payment per capita.
  
  
  METHODS
  A descriptive study of morbidity observed in citizens assigned a health area during year 2010. SITE: Health Area 9. Autonomous Community of Madrid. Formed by the municipalities of Fuenlabrada, Humanes, and Moraleja de Enmedio. All levels of health care included.
  
  
  METHODS
  All citizens with health card assigned to a health center in the area who has maintained contact with the public health service's own area.
  
  
  METHODS
  Coded contact of patients are grouped using the Population Grouping Clinical Risk 3M TM Software (CRG). Each patient is included in a homogeneous and exclusive group with a numerical morbidity and clinical sense. Through the health card is known primary care centre, physician, age and sex.
  
  
  RESULTS
  The distribution of morbidity is obtained by primary care centre, primary care physician, age and sex analyzing differences and combinations.
  
  
  CONCLUSIONS
  It was found that the average values of the population morbidity are different in each primary care centre. In order to maintain the principle of equity in health care, it is suggested that an adjustment is made to the per capita payment based on the morbidity rate of the population.
authors.affiliation: Área de Control de Gestión, Hospital Universitario de Fuenlabrada, Fuenlabrada, Madrid, España. Electronic address: pdemiguel.hflr@salud.madrid.org.
authors.forename: Pablo
authors.initials: P
authors.lastname: de Miguel
authors.affiliation: Área de Control de Gestión, Hospital Universitario de Fuenlabrada, Fuenlabrada, Madrid, España.
authors.forename: Isabel
authors.initials: I
authors.lastname: Caballero
authors.affiliation: Área de Gestión de Pacientes, Hospital Universitario de Fuenlabrada, Fuenlabrada, Madrid, España.
authors.forename: Francisco Javier
authors.initials: FJ
authors.lastname: Rivas
authors.affiliation: Departamento de Economía de la Empresa, Facultad de Ciencias Jurídicas y Sociales, Universidad Rey Juan Carlos, Madrid, España.
authors.forename: Jaime
authors.initials: J
authors.lastname: Manera
authors.affiliation: Departamento de Economía Financiera, Facultad de Ciencias Jurídicas y Sociales, Universidad Rey Juan Carlos, Madrid, España.
authors.forename: María Auxiliadora
authors.initials: MA
authors.lastname: de Vicente
authors.affiliation: Área de Gestión de Pacientes, Hospital Universitario de Fuenlabrada, Fuenlabrada, Madrid, España.
authors.forename: Ángel
authors.initials: Á
authors.lastname: Gómez
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002391:Catchment Area, Health / Q000191:economics*; D002648:Child; D002675:Child, Preschool; D003695:Delivery of Health Care / Q000191:economics*; D005260:Female; D005102:Health Expenditures; D006801:Humans; D007223:Infant; D008297:Male; D008875:Middle Aged; D009017:Morbidity; D012189:Retrospective Studies; D000078329:Workforce; D055815:Young Adult
keywords: Agrupador poblacional; Capitation financing; Equidad en la asignación de recursos; Equity in resource allocation; Financiación capitativa; Morbidity; Morbilidad; Population group