African Americans with Disabilities and the Social Security Administration's Return-to-Work Incentives

2004 ◽  
Vol 14 (4) ◽  
pp. 216-221 ◽  
Author(s):  
Reginald J. Alston
2017 ◽  
Vol 44 (2) ◽  
pp. 187-202 ◽  
Author(s):  
Mary-Elizabeth Murphy

When Franklin D. Roosevelt, a Democrat, was elected president in 1932, most African Americans did not support him since they were still loyal to the Republican Party. Moreover, New Deal policies, especially the Social Security Act in 1935, excluded farmers and domestics, and thus, most African Americans. One of the people who encouraged black voters to switch to the Democratic Party was Elizabeth McDuffie, a black servant in the Roosevelt White House. In the 1936 election, McDuffie went on the campaign trail and toured Chicago, Cleveland, Springfield, and St. Louis. As a domestic servant, McDuffie was a familiar face to southern migrants, and she convinced many black voters to switch to the Democratic Party. After her campaign tour concluded, McDuffie became acquainted with the large black population in Washington, D.C. McDuffie worked alongside middle-class activists to increase economic opportunities for women workers by sponsoring training programs for servants. But, as this article demonstrates, most black servants did not want training programs; they desired higher wages, better jobs, and inclusion in the Social Security Act. Working-class women in Washington wrote letters to the newspaper and in 1938, 10,000 rioted for jobs as federal charwomen, jobs that paid higher wages and offered savings for retirement. After McDuffie witnessed these events, she became a vocal critic of the limitations of New Deal programs while continuing to praise Roosevelt and the Democratic Party. This article argues that Elizabeth McDuffie’s career in Washington illuminates the contradictions of New Deal politics for black women workers.


Author(s):  
Edmund Peck Huang Cheong

The Social Security Organisation (SOCSO) of Malaysia introduced the Return to Work (RTW) Program in 2007 which is a comprehensive multidisciplinary biopsychosocial rehabilitation program for its Insured Persons who are experiencing disability due to accidents in the workplace or those claiming for invalidity. This rehabilitation program is unique as it involves the concept of “disability management” in which each Insured Person who is referred to the program, is assigned to a Disability Case Manager who is actively involved throughout the return to work process. Up to date (December 2013), 11,090 workers were motivated to participate in the SOCSO RTW Programme, and this requires many work processes, countless paper-work and massive physical files and document management. Due to this massive information flow, the demand for a more efficient information system is needed. From the beginning, the whole idea was to create an accessible, quick and user-friendly application. The application is now used by the SOCSO RTW Department in managing their information. This application was built on an open source platform which can be access through the internet. It is also a “learning application” where it uses its historical data to assist the case managers to generate standard rehabilitation plans and forecast possible return to work outcomes. The beauty of such application is that it is easily replicated, configurable (email notifications, reminders, etc) to meet the needs of the case managers in various jurisdiction. The scope of the application can also be easily defined to meet the size of an enterprise using the application. With better management of information, this application has contributed in reducing processing time, repetitive paperwork, minimal storage areas and almost real-time flow of information in the SOCSO's RTW Case Management system. Apart from that, the application now stores a wealth of information such as rehabilitation strategies for various disability or illnesses or demographic backgrounds.


2020 ◽  
Author(s):  
Luis Angel Hierro ◽  
David Cantarero ◽  
David Patiño ◽  
Daniel Rodríguez-Pérez de Arenaza

AbstractThis paper seeks to determine which workers affected by lockdown measures can return to work when a government decides to apply lockdown exit strategies. This system, which we call Sequential Selective Multidimensional Decision (SSMD), involves deciding sequentially, by geographical areas, sectors of activity, age groups and immunity, which workers can return to work at a given time according to the epidemiological criteria of the country as well as that of a group of reference countries, used as a benchmark, that have suffered a lower level of lockdown de-escalation strategies. We apply SSMD to Spain, based on affiliation to the Social Security system prior to the COVID-19 pandemic, and conclude that 98.37% of the population could be affected. The proposed system makes it possible to accurately identify the target population for serological IgG antibody tests in the work field, as well as those affected by special income replacement measures due to lockdown being maintained over a longer period.


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