Dritsakis Giorgos, Gallos Ioannis, Psomiadi Maria-Elisavet, Amditis Angelos, Dionysiou Dimitra
Institute of Communication and Computer Systems, National Technical University of Athens, Athens, Greece.
Directorate of Operational Preparedness for Public Health Emergencies, Greek Ministry of Health, Athens, Greece.
Online J Public Health Inform. 2024 Oct 25;16:e59906. doi: 10.2196/59906.
There is an emerging need for evidence-based approaches harnessing large amounts of health care data and novel technologies (such as artificial intelligence) to optimize public health policy making.
The aim of this review was to explore the data analytics tools designed specifically for policy making in noncommunicable diseases (NCDs) and their implementation.
A scoping review was conducted after searching the PubMed and IEEE databases for articles published in the last 10 years.
Nine articles that presented 7 data analytics tools designed to inform policy making for NCDs were reviewed. The tools incorporated descriptive and predictive analytics. Some tools were designed to include recommendations for decision support, but no pilot studies applying prescriptive analytics have been published. The tools were piloted with various conditions, with cancer being the least studied condition. Implementation of the tools included use cases, pilots, or evaluation workshops that involved policy makers. However, our findings demonstrate very limited real-world use of analytics by policy makers, which is in line with previous studies.
Despite the availability of tools designed for different purposes and conditions, data analytics is not widely used to support policy making for NCDs. However, the review demonstrates the value and potential use of data analytics to support policy making. Based on the findings, we make suggestions for researchers developing digital tools to support public health policy making. The findings will also serve as input for the European Union-funded research project ONCODIR developing a policy analytics dashboard for the prevention of colorectal cancer as part of an integrated platform.
利用大量医疗保健数据和新技术（如人工智能）的循证方法对于优化公共卫生政策制定的需求日益凸显。
本综述旨在探索专门为非传染性疾病（NCD）政策制定设计的数据分析工具及其实施情况。
在检索PubMed和IEEE数据库中过去10年发表的文章后进行了一项范围综述。
对9篇介绍7种旨在为非传染性疾病政策制定提供信息的数据分析工具的文章进行了综述。这些工具包含描述性和预测性分析。一些工具旨在纳入决策支持建议，但尚未发表应用规范性分析的试点研究。这些工具在各种情况下进行了试点，其中癌症是研究最少的情况。工具的实施包括涉及政策制定者的用例、试点或评估研讨会。然而，我们的研究结果表明政策制定者在实际中对分析的使用非常有限，这与之前的研究一致。
尽管有针对不同目的和情况设计的工具，但数据分析并未广泛用于支持非传染性疾病的政策制定。然而，本综述展示了数据分析在支持政策制定方面的价值和潜在用途。基于这些发现，我们为开发支持公共卫生政策制定的数字工具的研究人员提出了建议。这些发现也将作为欧盟资助的研究项目ONCODIR的输入，该项目正在开发一个用于预防结直肠癌的政策分析仪表板，作为一个综合平台的一部分。
