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Clin Anat ; 31(2): 250-258, 2018 Mar.
Article in English | MEDLINE | ID: mdl-29127734

ABSTRACT

Dissection provides a unique opportunity to integrate anatomical and clinical education. Commonly, cadavers are randomly assigned to courses, which may result in skewed representation of patient populations. The primary aim of this study was to determine if the anatomical donors studied by students at the University of Massachusetts Medical School (UMMS) accurately represent the disease burden of the local patient population. This cross-sectional study compared the University of Massachusetts Memorial Medical Center patient claims data and body donation data from the UMMS Anatomical Gift Program (AGP). This study examined age, race, sex, and morbidities within a 10-year timeframe in 401,258 patients and 859 anatomical donors who met inclusion criteria. An independent t test was conducted to compare the mean ages of the two populations. Chi square analysis was conducted on race, sex, and 10 morbidity categories. A Fischer's exact test was conducted for two morbidity categories with n < 10. Demographic analysis showed a significant difference in age, and racial representation between the populations. No statistical difference was found regarding sex. Morbidities were separated into 22 ICD-10 categories. Twelve categories were excluded and 10 were analyzed for population comparison. Two categories were over represented and seven were under-represented in the AGP population. One category showed no significant difference between populations. Targeted selection of cadavers in anatomy courses would improve morbidity variability in the anatomy lab. In addition, AGP acceptance guidelines should be evaluated to increase disease variation among the donor population. Clin. Anat. 31:250-258, 2018. © 2017 Wiley Periodicals, Inc.


Subject(s)
Anatomy/education , Cadaver , Demography , Education, Medical , Age Factors , Cause of Death , Chi-Square Distribution , Cross-Sectional Studies , Dissection/education , Female , Humans , International Classification of Diseases , Male , Racial Groups/statistics & numerical data , Sex Factors , Tissue Donors/classification
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