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Factors that Explain and Predict Organ Donation Registration: An Application of the Integrated Behavioral Model

Abstract Details

2017, Master of Science, University of Toledo, Health Education.
Background: Organ transplantation became a new hope for those living with end-stage organ disease. However, the number of patients waiting for this procedure greatly exceeds the number of available donors. This separation leads to the death of almost 30 Americans per day who are waiting for this life changing procedure. Although Americans have shown a high level of support for organ donation, a large gap exists between the support and intention to register. As one of the most trusted and accessible healthcare professionals, pharmacist may have an opportunity to provide expanded services and education to the public and patients about organ donation. This study looks to understand what motivates registration as an organ donor and identify perceptions of the public about pharmacist-driven education on the process. Methods: This is a cross-sectional, survey-based, exploratory study. A survey instrument was designed and validated. Following pilot testing, the survey was released electronically using Amazon Mechanical Turk. Participants were linked to the survey who are U.S. citizens/permanent residents over the age of eighteen. The 88-item, 10-section survey is based on the Integrated Behavioral Model (IBM) and examines attitudes, perceived norms, and perceived control associated with becoming an organ donor. Three questions also examine their perceptions of pharmacists’ role in educating the public about organ donation and whether they feel others would be receptive to this education at the pharmacy. Additional questions examine the impact of media messages, religion, and other common misconceptions of organ donation on the intent to register. A link to Donate Life America is also available electronically to participants who indicate interest in obtaining more information. Results: A total of 523 usable responses were collected out of 551 (95% completion) with 184 (35%) identified as not being registered donors. Non-donors were significantly more likely to hold negative attitudes and less awareness of those around them being registered, when compared to non-donors. Attitudes were found to be the most significant predictor of both past behavior (OR: 1.154, CI: 1.097-1.214, p < 0.001) and future intention (OR: 1.108, CI: 1.018-1.206, p = 0.023), when compared against registered donors. Being of lower financial status and of the Asian American race/ethnicity were associated with poorer intention to register as an organ donor. Attitude was significantly correlated with intention (r = 0.362. p < 0.05), as well as perceived norms (r = 0.204, p < 0.05), positive perceived behavioral control (r = 0.451, p < 0.05), and self-efficacy (r = 0.204, p < 0.05). Regardless of registration status, respondents did not believe that educating the public on organ donation registration was not an appropriate role for a pharmacist (n = 267, 51.1%) or that people would be receptive to the question about organ donation by the pharmacist during a routine pharmacy visit (n = 302, 57.7%).
Sharrel Pinto (Committee Chair)
Timothy Jordan (Committee Member)
Cindy Puffer (Committee Member)
160 p.

Recommended Citations

Citations

  • Jordan, M. R. (2017). Factors that Explain and Predict Organ Donation Registration: An Application of the Integrated Behavioral Model [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1494548683260934

    APA Style (7th edition)

  • Jordan, Matthew. Factors that Explain and Predict Organ Donation Registration: An Application of the Integrated Behavioral Model . 2017. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1494548683260934.

    MLA Style (8th edition)

  • Jordan, Matthew. "Factors that Explain and Predict Organ Donation Registration: An Application of the Integrated Behavioral Model ." Master's thesis, University of Toledo, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1494548683260934

    Chicago Manual of Style (17th edition)