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

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

BMC proceedings(2023)

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摘要
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.
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关键词
Data availability, Data ownership, Data quality, Data use, Data security, Low and middle-income countries, Opportunities, Challenges, Privacy, Big Data, Partnerships, Healthcare
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