ECTRIMS eLearning

Impact of socioeconomic level on the employment status of people with multiple sclerosis
Author(s): ,
N. Ciufia
Affiliations:
Multiple Sclerosis Clinic, University Center of Neurology, “Dr. J.M. Ramos Mejía” Hospital
,
N. Cabral
Affiliations:
Multiple Sclerosis Clinic, University Center of Neurology, “
,
A. Marinangeli
Affiliations:
Multiple Sclerosis Clinic, University Center of Neurology, “Dr. J.M. Ramos Mejía” Hospital
,
B. Silva
Affiliations:
Multiple Sclerosis Clinic, University Center of Neurology, “
,
S. Vanotti
Affiliations:
Multiple Sclerosis Clinic, University Center of Neurology, “
,
F. Caceres
Affiliations:
INEBA - Neurociencies Institute of Buenos Aires, Buenos Aires, Argentina
O. Garcea
Affiliations:
Multiple Sclerosis Clinic, University Center of Neurology, “
ECTRIMS Learn. Ciufia N. 10/10/18; 229271; EP1433
Natalia Ciufia
Natalia Ciufia
Contributions
Abstract

Abstract: EP1433

Type: Poster Sessions

Abstract Category: Clinical aspects of MS - Economic burden

Background: In recent years the socioeconomic situation has worsened in several countries with consequences that may differ between countries and between the population groups that make them up. People with Multiple Sclerosis (MS) are more vulnerable to unwanted changes in professional status due to their disabilities and uncertain prognosis. Socioeconomic status (SES) can be an indirect indicator of limited employment opportunities.
Objectives: 1) To examine the SES of a population with MS; 2) To study the relationship between the SES and the characteristics of employment (employed, professional self-employed and non-professional self-employed); 3) To analyze the relationship between the SES and the type of working area: specialized (which requires formal education) versus non-specialized (which requires experience or training).
Methods: The sample included 61 patients with MS (93.2% Relapsing-remitting, 1.7% Secondary-progressive and 5.1% Primary-progressive). 59% were women; average age: 38.89 ± 10.38 years; education: 14.18 ± 2.57 years; EDSS: 2.74 ± 2.01; evolution of the disease 11.64 ± 7.57. Outcome measures: Argentinian adaptation of the Buffalo Vocational Monitoring Survey; Socioeconomic Level index (SLI) that are organized in five different degrees: high level (ABC1), medium level (C2), medium-low level (C3), low level (D1), low-low level (D2-E).
Results: The SES of the studied population is distributed: 19.67% ABC1, 21.31% C2, 27.86% C3, 16.39% D1, 6.5% D2-E. An association was found between the SES (Group 1: ABC1-C2 and Group 2: C3-D1-D2E) and the types of employment relationship (employed, professional self-employed and non-professional self-employed) (χ2 = 7.73, p = .001). An association was found between SES (ABC1, C2, C3, D1, D2-E) and employment areas (χ2 = 18.63, p = .001).
Conclusion: 50% of the analyzed population in this study has a socioeconomic level of medium-low to low, which directly impacts on job opportunities. Their relationship becomes more relevant nowadays due to the worsening socioeconomic conditions of some countries.
Disclosure: Ciufia Natalia: nothing to declare
Cabral Nadia: nothing to declare
Marinangeli Aldana: nothing to declare
Silva Berenice: nothing to declare
Vanotti Sandra: has received reimbursement for developing educational presentations from Biogen Argentina and Novartis Argentina.
Caceres Fernando: received fees for consultancy and Advisory Board membership and fees travel, academic conferences and research project from Genzyme, Novartis, Merk, Ivax, Roche and Biogen Idec.
Garcea Orlando: has received reimbursement for developing educational presentations, educational and research grants, consultations fees and travel stipends from Biogen, Genzyme, Merck.

Abstract: EP1433

Type: Poster Sessions

Abstract Category: Clinical aspects of MS - Economic burden

Background: In recent years the socioeconomic situation has worsened in several countries with consequences that may differ between countries and between the population groups that make them up. People with Multiple Sclerosis (MS) are more vulnerable to unwanted changes in professional status due to their disabilities and uncertain prognosis. Socioeconomic status (SES) can be an indirect indicator of limited employment opportunities.
Objectives: 1) To examine the SES of a population with MS; 2) To study the relationship between the SES and the characteristics of employment (employed, professional self-employed and non-professional self-employed); 3) To analyze the relationship between the SES and the type of working area: specialized (which requires formal education) versus non-specialized (which requires experience or training).
Methods: The sample included 61 patients with MS (93.2% Relapsing-remitting, 1.7% Secondary-progressive and 5.1% Primary-progressive). 59% were women; average age: 38.89 ± 10.38 years; education: 14.18 ± 2.57 years; EDSS: 2.74 ± 2.01; evolution of the disease 11.64 ± 7.57. Outcome measures: Argentinian adaptation of the Buffalo Vocational Monitoring Survey; Socioeconomic Level index (SLI) that are organized in five different degrees: high level (ABC1), medium level (C2), medium-low level (C3), low level (D1), low-low level (D2-E).
Results: The SES of the studied population is distributed: 19.67% ABC1, 21.31% C2, 27.86% C3, 16.39% D1, 6.5% D2-E. An association was found between the SES (Group 1: ABC1-C2 and Group 2: C3-D1-D2E) and the types of employment relationship (employed, professional self-employed and non-professional self-employed) (χ2 = 7.73, p = .001). An association was found between SES (ABC1, C2, C3, D1, D2-E) and employment areas (χ2 = 18.63, p = .001).
Conclusion: 50% of the analyzed population in this study has a socioeconomic level of medium-low to low, which directly impacts on job opportunities. Their relationship becomes more relevant nowadays due to the worsening socioeconomic conditions of some countries.
Disclosure: Ciufia Natalia: nothing to declare
Cabral Nadia: nothing to declare
Marinangeli Aldana: nothing to declare
Silva Berenice: nothing to declare
Vanotti Sandra: has received reimbursement for developing educational presentations from Biogen Argentina and Novartis Argentina.
Caceres Fernando: received fees for consultancy and Advisory Board membership and fees travel, academic conferences and research project from Genzyme, Novartis, Merk, Ivax, Roche and Biogen Idec.
Garcea Orlando: has received reimbursement for developing educational presentations, educational and research grants, consultations fees and travel stipends from Biogen, Genzyme, Merck.

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