呈现人类服务组织的数据使用实践:迈向关键绩效衡量框架:来自2021年社区信息研究网络(CIRN)会议

Alexander Fink, R. V. Roholt
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摘要

社区级数据系统,通常被称为集体影响,越来越多地定义了人类服务数据创建的景观。集体影响战略在一个地理区域的众多人力服务组织(hso)之间开发共享的绩效衡量指标,以推动特定社会问题的发展。这样的系统鼓励出资人支持客户跟踪和数据共享基础设施的发展,这意味着更多的hso拥有任何特定客户的更多信息。然而,尽管许多健康护理组织使用的数据比以往任何时候都多,但问题仍然存在:健康护理组织如何读取、理解和利用这些数据?在组织运作和服务提供方面,我们能分辨出什么不同?本研究是建立在对世界各地青少年服务组织(hso的一种亚型)的项目评估员进行为期三年的参与观察的基础上的。它还包括一项对青年服务组织的全国性研究,重点是数据的使用。最后,它还包括对青年服务组织的项目工作人员的采访,以及对年轻人的焦点小组数据。将这些数据置于关于hso绩效衡量的文献和关键数据研究之间,我们在青年服务组织创建和使用数据的方式中发现了新出现的紧张关系,为那些支持我们社区公正使用数据和技术的人提出了突出的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surfacing Human Service Organizations' Data Use Practices: Toward a Critical Performance Measurement Framework: From the 2021 Community Informatics Research Network (CIRN) Conference
Community-level data systems, often called collective impact, increasingly define the landscape of human service data creation. Collective impact strategies develop shared performance measurement metrics across numerous human service organizations (HSOs) in a geographic region to move the needle on specific social problems. Such systems encourage funders to support the development of client tracking and data sharing infrastructure, meaning more HSOs have more information about any given client. However, while many HSOs are using more data than ever, questions remain: how is this data being read, understood, and utilized in HSOs? What differences can we discern in organizational operation and service provision? This study builds on three years of participant observation as program evaluators in youth-serving organizations (a subtype of HSOs) around the world. It also included a national study of youth-serving organizations with a strong focus on data use. Finally, it includes interviews with program staff in youth-serving organizations and focus group data with young people. Situating this data between the literature on performance measurement in HSOs and critical data studies, we surface emerging tensions in the ways youth-serving organizations are creating and using data, drawing to the fore salient questions for those invested in supporting the just use of data and technology for our communities.
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