| Concession of sickness benefit to social security beneficiaries due to mental disorders. | |
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MedLine Citation:
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PMID: 21503532 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. METHOD: 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 a claimant 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. DISCUSSION: 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. CONCLUSION: The results suggest that benefit award odds were associated with the specialty of the examiner, medical diagnosis, age, gender and claimant category. |
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Authors:
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Adriana Kelmer Siano; Luiz Cláudio Ribeiro; Mário Sérgio Ribeiro |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-4-15 |
Journal Detail:
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Title: Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) Volume: - ISSN: 1809-452X ISO Abbreviation: - Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-4-19 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100895975 Medline TA: Rev Bras Psiquiatr Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Department of Medical Clinics, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil. |
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