title: Concession of sickness benefit to social security beneficiaries due to mental disorders.
abstract: OBJECTIVE
  Assess the odds of having an initial claim for statutory sickness benefit awarded (ascribed to mental disorder as the main registered diagnosis), in relation to institutional, clinical, sociodemographic and welfare factors in Juiz de Fora-MG, Brazil.
  
  
  METHODS
  Two models of logistic regression, taking into account the categories of the medical examiners, were built with the aim of characterizing the relative weight of several variables affecting the medical conclusion.
  
  
  RESULTS
  The factors more strongly related to an award of benefit were claimants assessed by a physician without a specialization in psychiatry; with a diagnosis of psychosis; up to 29 years of age; with other non-psychiatric (musculoskeletal and cardiovascular) co-morbidities; registered with the national insurance system as employed; and male.
  
  
  CONCLUSIONS
  In both models, examiners with a specialization in psychiatry were associated with a lower likelihood of award of benefit. This suggests that examinations undertaken by doctors having a specialty related to the diagnosis supporting the sickness benefit claim are stricter than those undertaken by non-specialists.
  
  
  CONCLUSIONS
  The results suggest that benefit award odds were associated with the specialty of the examiner, medical diagnosis, age, gender and claimant category.
authors.affiliation: Department of Medical Clinics, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil.
authors.forename: Adriana Kelmer
authors.initials: AK
authors.lastname: Siano
authors.forename: Luiz Cláudio
authors.initials: LC
authors.lastname: Ribeiro
authors.forename: Mário Sérgio
authors.initials: MS
authors.lastname: Ribeiro
mesh_terms: D000328:Adult; D001938:Brazil; D015897:Comorbidity; D005260:Female; D006801:Humans; D007348:Insurance, Health / Q000191:economics / Q000706:statistics & numerical data*; D008297:Male; D001523:Mental Disorders / Q000175:diagnosis* / Q000191:economics; D008875:Middle Aged; D010043:Outcome and Process Assessment, Health Care / Q000191:economics / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D012943:Social Security / Q000191:economics / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors