From designing minimum data set to developing kidney transplantation registry in Iran

Area of Science:

• Health Informatics
• Public Health
• Nephrology

Background:

• Rising global life expectancy and population growth increase chronic diseases like end-stage renal disease (ESRD).
• Kidney transplantation is crucial for ESRD management, necessitating robust data collection for effective care.
• Existing registries can inform clinical care effectiveness, cost analysis, and patient outcomes.

Purpose of the Study:

• To design a minimum data set (MDS) for a kidney transplantation registry in Iran.
• To improve the quality of care for individuals with end-stage renal disease.
• To establish a foundation for a web-based national kidney transplantation registry.

Main Methods:

• A descriptive-applied research approach was employed.
• The MDS was developed through expert panel meetings involving urology, nephrology, health information management, and medical informatics specialists.
• Elements of the MDS were discussed and refined based on expert consensus.

Main Results:

• A kidney transplantation registry framework was defined across eight key axes: purpose, structure, data sources, MDS, classification systems, data processing/reporting, information access, and data quality.
• Expert validation confirmed the characteristics and tables of the proposed registry framework.
• The validated framework ensures acceptable data quality parameters.

Conclusions:

• The designed MDS addresses requirements for a web-based kidney transplantation registry in Iran.
• Implementation of this registry prototype will facilitate higher-quality data collection for ESRD patients.
• The registry is expected to improve patient information management, enhance service delivery, and support future research in kidney transplantation.