Literature DB >> 30632917

Mental illnesses are not an 'ideal type' of disability for disability income support: Perceptions of policymakers in Australia and Canada.

Ashley Mcallister1,2.   

Abstract

Aim: This article aims to explore how policymakers conceptualise a person suitable for disability income support (DIS) and how this compares across two settings - Australia and Canada.
Methods: A constructivist grounded theory approach was used; 45 policymakers in Australia and Canada were interviewed between March 2012 and September 2013. All policymakers are or were influential in the design or assessment of DIS.
Results: Results found that the policymakers in both jurisdictions define a suitable person as having as an 'ideal type' of disability with five features - visibility, diagnostic proof, permanency, recognition as a medical illness and perceived as externally caused. Many of the policymakers described how mental illnesses are not an 'ideal type' of disability for DIS by juxtaposing the features of mental illnesses against physical illnesses. As such, mental illnesses were labelled imperfect disabilities and physical illnesses as 'ideal type' for DIS. Conclusions: The rise of DIS recipients has divided the once protected 'deserving' category of the disabled into more ('ideal type' of disability) and less deserving (imperfect disability). Such conceptualisations are important because these categories can influence the allocation of welfare resources.

Entities:  

Keywords:  Comparative public policy; grounded theory; mental illness; policy design; social security

Mesh:

Year:  2019        PMID: 30632917     DOI: 10.1177/1403494818816903

Source DB:  PubMed          Journal:  Scand J Public Health        ISSN: 1403-4948            Impact factor:   3.021


  2 in total

1.  Disabled but not deserving? The perceived deservingness of disability welfare benefit claimants.

Authors:  Ben Baumberg Geiger
Journal:  J Eur Soc Policy       Date:  2021-03-22

2.  Disentangling the dynamics of social assistance: A linked survey-Register data cohort study of long-term social assistance recipients in Norway.

Authors:  Kristian Heggebø; Espen Dahl; Kjetil A van der Wel
Journal:  PLoS One       Date:  2020-03-27       Impact factor: 3.240

  2 in total

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