To refine selection criteria for adult living liver donors and improve donor quality of care, risk factors for poor postdonation health-related quality of life (HRQOL) must be identified. This cross-sectional study examined donors who underwent a right hepatectomy at the University of Toronto between 2000 and 2007 (n = 143), and investigated predictors of (1) physical and mental health postdonation, as well as (2) willingness to participate in the donor process again. Participants completed a standardized HRQOL measure (SF-36) and measures of the pre-and postdonation process. Donor scores on the SF-36 physical and mental health indices were equivalent to, or greater than, population norms. Greater predonation concerns, a psychiatric diagnosis and a graduate degree were associated with lower mental health postdonation whereas older donors reported better mental health. The majority of donors (80%) stated they would donate again but those who perceived that their recipient engaged in risky health behaviors were more hesitant. Prospective donors with risk factors for lower postdonation satisfaction and mental health may require more extensive predonation counseling and postdonation psychosocial follow-up. Risk factors identified in this study should be prospectively evaluated in future research. participate (n = 204). Procedures used by our center to determine donor suitability for right hepatectomy have been reported elsewhere (1). Eleven donors who had been either lost to follow-up (n = 9) or who informed our program that they were doing well and no longer required follow-up (n = 2) were not contacted.
Study designThis is a cross-sectional study in which donors who were at least 3 months postdonation were mailed a package of materials that contained a cover letter explaining the study objectives, a consent form and a written questionnaire. Only those measures that were analyzed in this report will be described here.
Postdonation questionnaireLiving liver donors completed a one-time comprehensive questionnaire assessing demographics (sex, age, marital status, ethnicity, education, income and employment