Worldwide, more than 3 million people have died from COVID-19. Each decedent represents a person who was loved, will be missed, and whose death elicited grief. COVID-19 has changed the way we die and grieve. Many people have died without family members and friends present and many of the bereft have grieved and mourned alone. Individuals and communities have experienced multiple losses within a short time while suffering from concomitant stress, anxiety, and depression. More deaths and more grief will continue in the foreseeable future. Preventive education is needed to prepare for and manage the likely increase in complicated grief.

The demand for transplantable organs has outpaced the supply. Thus, 20 Americans die every day while waiting for an organ. Although most adults support organ donation, 42% are not registered. The rate is even lower among young adults who are not enrolled in/never graduated from college. The aim of this study was to use the Integrated Behavior Model (IBM) to identify factors that predicted organ donation registration among a racially diverse sample of non-student young adults. The study was observational and cross-sectional. Proportional allocation was used to identify a racially diverse sample of 550 non-student, young adults from ten states in the U.S. with the lowest registration rates. A valid and reliable survey was designed, pilot-tested, and administered. A total of 407 young adults completed the survey (74%). Only 19% were registered donors. Caucasians were more likely to be registered donors than racial minorities, χ² (3, N = 407) = 15.19, p = 0.002. Those with more positive direct attitudes toward registration were 1.5 times more likely to be registered than those who had negative direct attitudes. Among non-registrants, indirect descriptive norm and direct attitude were statistically significant predictors of behavioral intention. Moreover, those who knew someone who donated an organ and knew someone who needed a transplant were nearly three times more likely to intend to register in the next year. The IBM proved useful in elucidating factors that predicted intention to register among non-student young adults. The IBM should be used by those who desire to increase registration rates.