Suppr超能文献

2022年国际健康数据与测量联盟(CIHLMU)研讨会会议记录:“健康领域优质数据的可得性与获取途径”

Proceedings from the CIHLMU 2022 Symposium: "Availability of and Access to Quality Data in Health".

作者信息

Tuladhar Sabita, Mwamelo Kimothy, Manyama Christina, Obuobi Dorothy, Antunes Mario, Gashaw Mulatu, Vogel Monica, Shrinivasan Harinee, Mugambwa Kashung Annie, Korley Isabella, Froeschl Guenter, Hoffaeller Lisa, Scholze Sarah

机构信息

Teaching & Training Unit, Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.

Center for International Health, Ludwig-Maximilians-Universität, Munich, Germany.

出版信息

BMC Proc. 2023 Aug 17;17(Suppl 10):21. doi: 10.1186/s12919-023-00270-1.

Abstract

Data is an essential tool for valid and reliable healthcare management. Access to high-quality data is critical to ensuring the early identification of problems, the design of appropriate interventions, and the effective implementation and evaluation of health intervention outcomes. During the COVID-19 pandemic, the need for strong information systems and the value of producing high-quality data for timely response and tracking resources and progress have been very evident across countries. The availability of and access to high-quality data at all levels of the health systems of low and middle-income countries is a challenge, which is exacerbated by multiple parallels and poorly integrated data sources, a lack of data-sharing standards and policy frameworks, their weak enforcement, and inadequate skills among those handling data. Completeness, accuracy, integrity, validity, and timeliness are challenges to data availability and use. "Big Data" is a necessity and a challenge in the current complexities of health systems. In transitioning to digital systems with proper data standards and policy frameworks for privacy protection, data literacy, ownership, and data use at all levels of the health system, skill enhancement of the staff is critical. Adequate funding for strengthening routine information systems and periodic surveys and research, and reciprocal partnerships between high-income countries and low- and middle-income countries in data generation and use, should be prioritized by the low- and middle-income countries to foster evidence-based healthcare practices.

摘要

数据是有效且可靠的医疗保健管理的重要工具。获取高质量数据对于确保早期发现问题、设计适当的干预措施以及有效实施和评估健康干预结果至关重要。在新冠疫情期间,各国对强大信息系统的需求以及为及时响应、跟踪资源和进展而生成高质量数据的价值已非常明显。低收入和中等收入国家卫生系统各级高质量数据的可得性和获取是一项挑战,多个并行且整合不佳的数据源、缺乏数据共享标准和政策框架、其执行不力以及数据处理人员技能不足使这一挑战更加严峻。完整性、准确性、完整性、有效性和及时性是数据可得性和使用方面的挑战。在当前卫生系统的复杂性中,“大数据”既是必要条件,也是一项挑战。在向具有适当数据标准和隐私保护、数据素养、所有权及卫生系统各级数据使用政策框架的数字系统过渡时,提高工作人员的技能至关重要。低收入和中等收入国家应优先为加强常规信息系统以及定期调查和研究提供充足资金,并在高收入国家与低收入和中等收入国家之间建立数据生成和使用方面的互惠伙伴关系,以促进循证医疗实践。

相似文献

2
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
4
Sepsis Care Pathway 2019.2019年脓毒症护理路径
Qatar Med J. 2019 Nov 7;2019(2):4. doi: 10.5339/qmj.2019.qccc.4. eCollection 2019.

本文引用的文献

1
Improving child health through Big Data and data science.通过大数据和数据科学改善儿童健康。
Pediatr Res. 2023 Jan;93(2):342-349. doi: 10.1038/s41390-022-02264-9. Epub 2022 Aug 16.
8
Sharing Is Caring-Data Sharing Initiatives in Healthcare.共享即关爱——医疗保健领域的数据共享计划。
Int J Environ Res Public Health. 2020 Apr 27;17(9):3046. doi: 10.3390/ijerph17093046.
9
Big data analytics for preventive medicine.预防医学中的大数据分析
Neural Comput Appl. 2020;32(9):4417-4451. doi: 10.1007/s00521-019-04095-y. Epub 2019 Mar 16.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验