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A Results-Based Logic Model for Primary Healthcare: A Conceptual Foundation for Population-Based Information Systems

机译:初级保健的基于结果的逻辑模型:基于人口的信息系统的概念基础

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摘要

A conceptual framework for population-based information systems is needed if these data are to be created and used to generate information to support healthcare policy, management and practice communities that seek to improve quality and account for progress in primary healthcare (PHC) renewal. This paper describes work conducted in British Columbia since 2003 to (1) create a Results-Based Logic Model for PHC using the approach of the Treasury Board of Canada in designing management and accountability frameworks, together with a literature review, policy analysis and broad consultation with approximately 650 people, (2) identify priorities for information within that logic model, (3) use the logic model and priorities within it to implement performance measurement and research and (4) identify how information systems need to be structured to assess the impact of variation or change in PHC inputs, activities and outputs on patient, population and healthcare system outcomes. The resulting logic model distinguishes among outcomes for which the PHC sector should be held more or less accountable.
机译:如果要创建这些数据并将其用于生成信息以支持寻求提高质量并说明初级保健(PHC)更新进展的保健政策,管理和实践社区,则需要基于人群的信息系统的概念框架。本文介绍了自2003年以来在不列颠哥伦比亚省开展的工作,以(1)使用加拿大财政部设计管理和问责框架的方法,为PHC创建基于结果的逻辑模型,并进行文献综述,政策分析和广泛咨询大约有650人,(2)在该逻辑模型中确定信息的优先级,(3)在其中使用逻辑模型和优先级来实施绩效评估和研究,(4)确定如何构建信息系统以评估影响PHC输入,活动和输出对患者,人群和医疗系统结果的变化或变化。由此产生的逻辑模型区分了PHC部门应或多或少负责的结果。

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