发展一种变革理论方法，以支持基于地方的系统的评估，改变干预措施，以支持儿童和青少年的心理健康和福祉

IF 1 4区计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Performance Evaluation Pub Date : 2022-09-04 DOI:10.1177/13563890221110257

Robyn Doherty, N. Quinn, A. Colson, Amy Tucker, J. Cameron

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引用次数: 2

摘要

在过去几年中，儿童和青少年的精神卫生问题水平随着服务需求的增加而上升，这推动了对如何提供儿童和青少年精神卫生服务进行变革性系统变革的需求。变革理论方法论是推进系统变革的一种有价值的方法。这篇文章描述了变化过程的理论，以评估战略伙伴关系的方法来推进系统的变化，改善儿童和青少年的心理健康。本文描述了这些战略伙伴关系的变革理论方法的发展和应用，讨论了从发展变革理论及其在项目工作人员和评价小组中的应用中获得的好处。本文还讨论了使用这种方法的挑战和限制，并提出了更广泛使用这种方法的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Developing a theory of change methodology to support the evaluation of place-based systems change interventions to support child and adolescent mental health and well-being

Over the past few years, levels of mental health problems among children and adolescents have risen alongside an increased demand for services, which has driven the demand for a transformative systems change in how child and adolescent mental health services are delivered. Theory of change methodology is a valuable approach for advancing systems change. This article describes the theory of change process to evaluate a strategic partnership approach to advancing systems change improvements in child and adolescent’s mental health. This article describes the development and application of a theory of change methodology for these strategic partnerships, discussing the benefits derived from developing the theory of change and its use by the programme staff and evaluation team. This article also discusses the challenges and limitations of using this approach and recommendations for use more widely.

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来源期刊

Performance Evaluation 工程技术-计算机：理论方法

CiteScore

3.10

自引率

0.00%

发文量

审稿时长

24 days

期刊介绍： Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science