Attitudes Toward Common Data Models Among Chinese Biomedical Professionals: Cross-Sectional Survey

Area of Science:

• Health Informatics
• Biomedical Data Management
• Data Standardization

Background:

• Adopting a Common Data Model (CDM) is crucial for harmonizing diverse health data sources.
• China's unique demographic and epidemiologic landscape necessitates effective data integration strategies.
• This research addresses the need for comprehensive insights into Chinese health trends by bridging data gaps.

Purpose of the Study:

• To assess biomedical professionals' and trainees' acceptance of the CDM in China.
• To identify advantages and challenges in promoting, implementing, and developing CDMs within the country.

Main Methods:

• A questionnaire survey was conducted using Sojump and distributed via WeChat.
• The survey evaluated understanding and acceptance of CDM, including the Observational Medical Outcomes Partnership CDM.
• Data reliability was assessed using Cronbach α and Guttman Lambda 6.

Main Results:

• 41.9% of 418 participants were aware of CDM, with higher recognition among those with advanced degrees and in the pharmaceutical/CRO sectors.
• Awareness was primarily gained through literature and conferences; formal education was less common.
• 94.7% deemed CDM integration necessary for standardization and efficiency, though challenges like mapping traditional Chinese medicine data exist.

Conclusions:

• A significant majority favor CDM implementation in China, particularly doctoral-level professionals and those in research/pharmaceutical industries.
• Awareness levels varied by subgroup, but perceived necessity was consistent.
• Enhanced education and clear data-sharing regulations are recommended for successful CDM advancement.