Estudi de les disminucions avaluades en els centres d'atenció a disminuits

Identificador:  TDX:1642

Handle: https://hdl.handle.net/20.500.11797/TDX1642

Autores:  López Bastida, Anton

Resumen:
Disability Evaluation Centres belong to the Department of Welfare and Family of the Catalan Government and are responsible for certifying disabilities in Catalonia. In this text, we have studied the characteristics and evolution of the population with a certified handicap between 1970 and 2002 (n=305,943). The methodology is based on a descriptive analysis (cross sectional and evolutive). We report the incidence of disability, impairment, diagnosis and aetiology together with disability status (criteria for mobility and personal autonomy). We also compare the results with Spanish and foreign studies.In 1999, the Spanish Government developed a new system for determining disability (B.O.E. -R.D. 1971/1999-). So we have a point at which we can study how these legislative changes affect the evaluation of the handicapped population. As a consequence we expect that this research will be a new tool for the Legislative Committee. We present a model that relates the predictor variables of disability level to other recorded variables.We have found no other papers that make detailed descriptions of impairments, disabilities, and handicaps and their evolution in Spain. Neither have we found studies on the new disability determination system, or on the variables that determine disability level.Methodology: Descriptive statistical analysis and categorical regression analysis were used.Results: The prevalence of people with a certified disability is 4.4%. Men under 45 years old are the dominant group. The median disability level is 50.2 out of a hundred (moderate disability). Women have more severe disabilities than men. The incidence and prevalence of population with mobility problems is higher than observed in other studies. The database shows that 9.5% of the data recorded is incomplete. The most frequent impairments are osteoarticular disease, psychiatric disorder and mental retardation. The most frequent diagnoses are those with the codes of 'unknown diagnosis' and central nervous system disorders. Level of independence, impairment, diagnosis and mobility criterion are the variables that best predict disability level.In conclusion, first we point out the need to review the classification and the code system of the disability determination, as well as how the data is input. We then suggest that the disability determination system and various aspects of disability also be reviewed.