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What is the relationship between hours of assistance allowance granted and the experience of wellbeing by the user?
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences. (Hälsa- och sjukvårdsforskning)ORCID iD: 0000-0002-0905-5097
2017 (English)Conference paper, Abstract (Refereed)
Abstract [en]

Reducing differences in wellbeing between groups of citizens is of central importance to the welfare state to achieve social justice. A national strategy was adopted by the Swedish government in 2011 that highlighted disability rights within the goal of National policy for Public Health. The monitoring of wellbeing among persons without and with disability shows that the latter group experiences much higher levels of distress. These results raise the importance of effective interventions to achieve the objectives of the strategy. One of the main welfare interventions to fulfill disability rights in Sweden is considered to be personal assistance. The reform molding personal assistance was in 1994 a ground-breaking role-model with a strong focus on the recognition of disability rights and covers a wide range of eligible groups with regard to age, impairment and diversity of needs. The hallmark of personal assistance is that the assistant helps out with activities that the user would have done her/himself, if it were not for her/his physical, mental or intellectual limitations. How the number of hours of personal assistance granted is related to the experience of wellbeing, has not previously been studied. Considering the fact that the goal of personal assistance was to achieve independence and power to act in one’s own life, the question on how hours for personal assistance correlates with wellbeing, can be seen as a strong indicator in measuring the effectiveness of the reform.   The study aims to examine the relationship between hours of government assistance allowance granted to adults (>16 years) with the outcome of psychological wellbeing and distress across  gender, age and eligible groups.   Data from a questionnaire to persons granted assistance allowance (n=1531) and registry data was used. Statistic methods used were descriptive statistics, principal component analysis,  and linear regression. Preliminary results was prsented showing bivariate models including variables of wellbeing related to independence and intersectional structures.

Place, publisher, year, edition, pages
Örebro, 2017.
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:uu:diva-322275OAI: oai:DiVA.org:uu-322275DiVA: diva2:1096549
Conference
Nordic Network on Disability Research, NNDR 14th
Available from: 2017-05-18 Created: 2017-05-18 Last updated: 2017-05-18

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