社区康复中的残疾数据收集

S. Deepak, Franesca Ortali, G. Halls, Tulgamaa Damdinsuren, Enhbuyant Lhagvajav, S. Msowoya, Malek Qutteina, J. Kumar
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引用次数: 1

摘要

今天,许多国家都有社区康复方案。在许多国家,社区康复办法是国家康复服务的一部分。然而,关于受益于基于社区行为的残疾人及其获得的福利种类,缺乏可靠的数据。本文回顾了残疾数据收集系统,并提出了一些案例研究,以了解业务因素对社区康复方案中数据收集的影响。审查表明,大多数CBR项目使用数量不定的广泛功能类别来收集有关残疾人的信息,有时还结合更具体的诊断类别。这种分类受到当地情况和业务因素的影响,包括可用于实施这种分类的人力和物质资源的限制,因此难以获得可比较的基于生物多样性的数据。因此,任何加强社区生物多样性规划数据收集的战略都必须考虑到这些业务因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disability Data Collection in Community-based Rehabilitation
Today there are Community-based Rehabilitation (CBR) programmes in a large number of countries. In many countries, the CBR approach is a part of the national rehabilitation services. However, there is a lack of reliable data about persons with disabilities who benefit from CBR and the kind of benefits they receive. This article reviews the disability data collection systems and presents some case studies to understand the influence of operational factors on data collection in the CBR programmes. The review shows that most CBR programmes use a variable number of broad functional categories to collect information about persons with disabilities, combined occasionally with more specific diagnostic categories. This categorisation is influenced by local contexts and operational factors, including the limitations of human and material resources available for its implementation, making it difficult to have comparable CBR data. Therefore, any strategies to strengthen the data collection in CBR programmes must take these operational factors into account.
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