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如何监测国家卫生信息系统的影响?一项范围综述的结果。

How can we monitor the impact of national health information systems? Results from a scoping review.

机构信息

Department of Epidemiology and public health, Sciensano, Brussels, Belgium.

Department of Medical Sociology and Rehabilitation Science, Charité Berlin University of Medicine, Berlin, Germany.

出版信息

Eur J Public Health. 2020 Aug 1;30(4):648-659. doi: 10.1093/eurpub/ckz164.

Abstract

BACKGROUND

National health information (HI) systems provide data on population health, the determinants of health and health system performance within countries. The evaluation of these systems has traditionally focused on statistical practices and procedures, and not on data use or reuse for policy and practice. This limits the capacity to assess the impact of HI systems on healthcare provision, management and policy-making. On the other hand, the field of Knowledge Translation (KT) has developed frameworks to guide evidence into practice.

METHODS

A scoping review of the KT literature to identify the essential mechanisms and determinants of KT that could help monitor the impact of HI systems.

RESULTS

We examined 79 publications and we identified over 100 different KT frameworks but none of these were focused on HI systems per se. There were specific recommendations on disseminating evidence to stakeholders at the institutional and organizational level, and on sustaining the use of evidence in practice and the broader community setting.

CONCLUSIONS

We developed a new model, the HI-Impact framework, in which four domains are essential for mapping the impact of national HI systems: (i) HI Evidence Quality, (ii) HI System Responsiveness, (iii) Stakeholder Engagement and (iv) Knowledge Integration. A comprehensive impact assessment of HI systems requires addressing the use of HI in public health decision-making, health service delivery and in other sectors which might have not been considered previously. Monitoring Stakeholder Engagement and Knowledge Integration certifies that the use of HI in all policies is an explicit point of assessment.

摘要

背景

国家卫生信息(HI)系统提供有关人口健康、健康决定因素和国家卫生系统绩效的数据。这些系统的评估传统上侧重于统计实践和程序,而不是数据的使用或再利用以支持政策和实践。这限制了评估 HI 系统对医疗保健提供、管理和决策制定的影响的能力。另一方面,知识转化(KT)领域已经开发了框架来指导证据转化为实践。

方法

对 KT 文献进行范围审查,以确定 KT 的基本机制和决定因素,这些机制和决定因素可以帮助监测 HI 系统的影响。

结果

我们审查了 79 篇出版物,确定了 100 多个不同的 KT 框架,但没有一个框架专门针对 HI 系统本身。有具体建议涉及向机构和组织层面的利益相关者传播证据,以及在实践和更广泛的社区环境中维持证据的使用。

结论

我们开发了一个新模型,即 HI-Impact 框架,其中四个领域对于映射国家 HI 系统的影响至关重要:(i)HI 证据质量,(ii)HI 系统响应能力,(iii)利益相关者参与,以及(iv)知识整合。全面评估 HI 系统需要解决 HI 在公共卫生决策、卫生服务提供以及其他以前可能未被考虑的部门中的使用情况。监测利益相关者参与和知识整合可以确保 HI 在所有政策中的使用都成为评估的明确要点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ee/7445047/c862eeadb851/ckz164f1.jpg

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