Suich Helen, Schneider Marguerite
Independent Researcher, Canberra, Australia.
Department of Psychiatry and Mental Health, Alan J Flisher Centre for Public Mental Health, University of Cape Town, Cape Town, South Africa.
Afr J Disabil. 2022 May 27;11:1020. doi: 10.4102/ajod.v11i0.1020. eCollection 2022.
The progressive realisation of disability inclusion requires political will and commitment, and comprehensive monitoring is necessary to give a clear understanding of what needs to be addressed and to highlight the gaps and barriers to the achievement of social inclusion of people with disabilities.
This article uses an existing dataset to present a baseline assessment of inclusion for men and women with no, mild or moderate disability severity and with no or moderate affect difficulties in South Africa.
An existing dataset, capturing individual-level data for 8499 individuals, collected in 2019 across South Africa was analysed. Variables were utilised to represent aspects of nine domains of disability inclusion, and outcomes were compared using chi-squared tests (with Bonferroni adjustments) for groups categorised by disability severity and gender, and for affect severity and gender.
Overall, inclusion levels declined with increasing disability severity, and there were fewer differences in inclusion levels between those with and without affect difficulties than for those with functioning difficulties (as measured using the Washington Group on Disability Statistics' Short Set of six questions on functioning).
The article concludes by discussing several approaches to using the data to design policy responses, each of which results in a different range of domains that may initially be prioritised and targeted.
逐步实现包容残疾需要政治意愿和承诺,全面监测对于清楚了解需要解决的问题以及突出实现残疾人社会包容的差距和障碍至关重要。
本文利用现有数据集对南非残疾严重程度为无、轻度或中度且情感困难程度为无或中度的男性和女性的包容情况进行基线评估。
分析了2019年在南非收集的一个现有数据集,该数据集记录了8499人的个人层面数据。利用变量来代表残疾包容九个领域的各个方面,并使用卡方检验(经邦费罗尼校正)对按残疾严重程度和性别以及情感严重程度和性别分类的组的结果进行比较。
总体而言,包容水平随着残疾严重程度的增加而下降,与有功能困难者(使用华盛顿残疾统计小组关于功能的六个简短问题集衡量)相比,有情感困难者和无情感困难者在包容水平上的差异较小。
本文最后讨论了利用这些数据设计政策应对措施的几种方法,每种方法都会导致一系列不同的可能最初被优先考虑和针对的领域。