'Last-minute' donations influence actuarial prediction in an anatomical body donation program

Area of Science:

• Anatomical Sciences
• Medical Education
• Biostatistics

Background:

• Anatomical dissection programs face specimen shortages in some institutions.
• The University Medical Center Groningen (UMCG) experienced a surge in body donor registrations, necessitating management strategies.
• Current methods for halting registrations are ad hoc, lacking predictive analysis for consequences.

Purpose of the Study:

• To develop a predictive model for the number of incoming deceased body donors.
• To provide a method for managing body donation program registrations.
• To address the challenge of balancing donor numbers with institutional needs.

Main Methods:

• Utilized a database of 2357 potential and 1363 deceased body donors at UMCG.
• Developed an actuarial predictive model incorporating donor registration and mortality data.
• Analyzed 'last-minute' donation decisions and their demographic correlations.

Main Results:

• Approximately 29% of donors registered between 2003-2008 died within one year.
• 'Last-minute' donations were more prevalent among males.
• The model successfully predicted incoming body numbers based on actuarial mortality data.

Conclusions:

• Presents the first reliable method for 5-year actuarial prediction of deceased donors in body donation programs.
• Enables proactive management of donor numbers through controlled registration stops.
• Offers a solution to mitigate uncertainty and potential shortages or surpluses of anatomical specimens.