Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation

Area of Science:

• Cardiovascular Medicine
• Medical Informatics
• Health Data Standards

Background:

• Lack of a standardized minimum data set (MDS) for cardiovascular implantable electronic devices (CIEDs) hinders consistent data assessment.
• Existing data collection for CIEDs lacks uniformity, impacting reliability and coherence in clinical and research information systems.

Purpose of the Study:

• To establish a minimum data set (MDS) for CIED implantation.
• Enable consistency in data gathering, reporting, and exchange for CIEDs.
• Facilitate uniform data management in clinical and research information systems.

Main Methods:

• Descriptive, cross-sectional study conducted in 2018.
• Literature review of cardiovascular documents, registries, guidelines, and forms to draft initial data elements.
• Expert review and scoring using a five-point Likert scale; elements important to at least 75% of experts were included.

Main Results:

• An essential dataset was refined and selected into eight categories: administrative data, medical history, signs/symptoms, physical exams, lab results, procedure details, complications, and outcomes.
• Required variables and potential respondents were determined for each data class.
• The finalized MDS provides a structured framework for CIED data.

Conclusions:

• The established minimum dataset will standardize and improve the management of CIED implantation data.
• This standardized approach provides a platform for meaningful data comparison across different contexts.
• Facilitates effective data management and research for CIEDs.