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制定基于人权的指标以支持各国对残疾人康复服务和项目的监测:一项研究方案。

Developing human rights based indicators to support country monitoring of rehabilitation services and programmes for people with disabilities: a study protocol.

作者信息

Skempes Dimitrios, Bickenbach Jerome

机构信息

Department of Health Sciences and Health Policy, University of Lucerne and Swiss Paraplegic Research, Guido A. Zaech Institute (GZI), CH-6207, Nottwil, Switzerland.

Human Rights in Patients Care Program, Association of Schools of Public Health in the European Region (ASPHER), Brussels, Belgium.

出版信息

BMC Int Health Hum Rights. 2015 Sep 24;15:25. doi: 10.1186/s12914-015-0063-x.

Abstract

BACKGROUND

Rehabilitation care is fundamental to health and human dignity and a human right enshrined in the United Nations Convention on the Rights of Persons with Disabilities. The provision of rehabilitation is important for reducing the need for formal support and enabling persons with disabilities to lead an independent life. Increasingly scholars and advocacy groups voice concerns over the significant barriers facing people with disabilities in accessing appropriate and quality rehabilitation. A growing body of research highlights a "respond-need" gap in the provision of rehabilitation and assistive technologies and underscore the lack of indicators for assessing performance of rehabilitation systems and monitoring States compliance with human rights standards in rehabilitation service planning and programming. While research on human rights and health monitoring has increased exponentially over the last decade far too little attention has been paid to rehabilitation services. The proposed research aims to reduce this knowledge gap by developing a human rights based monitoring framework with indicators to support human rights accountability and performance assessment in rehabilitation.

METHODS/DESIGN: Concept mapping, a stakeholder-driven approach will be used as the core method to identify rights based indicators and develop the rehabilitation services monitoring framework. Concept mapping requires participants from various stakeholders groups to generate a list of the potential indicators through on line brainstorming, sort the indicators for conceptual similarity into clusters and rate them against predefined criteria. Multidimensional scaling and hierarchical cluster data analysis will be performed to develop the monitoring framework while bridging analysis will provide useful insights about patterns of agreement or disagreement among participants views on indicators.

DISCUSSION

This study has the potential to influence future practices on data collection and measurement of compliance with human rights standards in rehabilitation service delivery and organization. The development of a valid and universally applicable set of indicators will have a profound impact on the design and implementation of evidence informed disability policies and programs as it can support countries in strengthening performance measurement through documentation of comparative information on rehabilitation care systems. Most importantly, the resulting indicators can be used by disabled people's organizations as well as national and international institutions to define a minimal standard for monitoring and reporting progress on the implementation of the Convention on the Rights of Persons with Disabilities in the area of rehabilitation.

摘要

背景

康复护理对于健康和人类尊严至关重要,是《联合国残疾人权利公约》所规定的一项人权。提供康复服务对于减少对正式支持的需求以及使残疾人能够过上独立生活具有重要意义。越来越多的学者和倡导团体对残疾人在获得适当和高质量康复服务方面面临的重大障碍表示关切。越来越多的研究突出了康复和辅助技术提供方面的“需求响应”差距,并强调缺乏用于评估康复系统绩效以及监测各国在康复服务规划和方案制定中遵守人权标准情况的指标。尽管在过去十年中,关于人权与健康监测的研究呈指数级增长,但对康复服务的关注却远远不够。拟开展的研究旨在通过制定一个基于人权的监测框架及指标来缩小这一知识差距,以支持康复领域的人权问责和绩效评估。

方法/设计:概念图绘制,一种由利益相关者驱动的方法,将被用作确定基于权利的指标并制定康复服务监测框架的核心方法。概念图绘制要求来自不同利益相关者群体的参与者通过在线头脑风暴生成潜在指标列表,将指标按概念相似性分类成组,并根据预定义标准对其进行评分。将进行多维尺度分析和层次聚类数据分析以制定监测框架,而桥梁分析将提供有关参与者对指标看法的一致或分歧模式的有用见解。

讨论

本研究有可能影响未来在康复服务提供和组织中数据收集及人权标准合规性测量方面的实践。一套有效且普遍适用的指标的制定将对循证残疾政策和方案的设计与实施产生深远影响,因为它可以通过记录康复护理系统的比较信息来支持各国加强绩效测量。最重要的是,由此产生的指标可被残疾人组织以及国家和国际机构用于确定在康复领域监测和报告《残疾人权利公约》实施进展情况的最低标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cd7/4582732/cf62e27bc262/12914_2015_63_Fig1_HTML.jpg

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