| Literature DB >> 35081162 |
Gail Moloney1, Michael Sutherland2, Leah Upcroft3, Rachel Clark1, Parul Punjabi-Jagdish1, Suzanne Rienks1, Alison Bowling1, Iain Walker4.
Abstract
BACKGROUND: Registering a donation decision is fundamental to increasing the number of people who donate the organs and tissues essential for transplantation, but the number of registered organ donors is insufficient to meet this demand. Most people in Australia support organ donation, but only a third have registered their decision on the Australian Organ Donor Register (AODR). We addressed this paradox by investigating how feelings of community, engendered through an ethic of hospitality and care and a non-proselytizing dialogue about organ donation, facilitated the decision to register.Entities:
Mesh:
Year: 2022 PMID: 35081162 PMCID: PMC8791491 DOI: 10.1371/journal.pone.0263096
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Participant demographics and registration.
| Total | % | ||
|---|---|---|---|
|
| 357 | 100 | |
| | 79 | 22.1 | |
| | 278 | 77.9 | |
| | Yes | 210 | 75.5 |
| No | 31 | 11.2 | |
| Would like more information | 33 | 11.9 | |
| Took forms home | 4 | 1.4 | |
| Took a registration card | 95 | 45.2 | |
|
| Female | 225 | 63.0 |
| Male | 91 | 25.5 | |
| Non-binary | 1 | 0.3 | |
|
| Australian | 243 | 68.1 |
| British | 10 | 2.8 | |
| Chinese | 10 | 2.8 | |
| Nepalese | 6 | 1.7 | |
| Indian | 5 | 1.4 | |
| Indigenous Australian | 5 | 1.4 | |
| Irish | 5 | 1.4 | |
| Singaporean | 4 | 1.1 | |
| ( | 44 | 12.4 | |
|
| Christian | 99 | 27.2 |
| Atheist/Agnostic/Secular | 15 | 4.2 | |
| Hindu | 9 | 2.5 | |
| Judaism | 6 | 1.7 | |
| Islamic | 3 | 8 | |
| ( | 28 | 7.9 | |
| | 191 | 53.5 | |
| | 162 | 45.5 | |
* All participants who registered, registered a decision to donate all or some organs and tissue. Missing data (no response given) for gender (11.5%), cultural/national identification (48%), and religious/spiritual group (55.2%).
**57.7% of females registered from those who identified as female and 51.6% of males registered from those who identified as male. Not all participants identified a gender.
Confirmatory factor analysis details of fit.
| df |
| CFI | TLI | RMSEA | |
|---|---|---|---|---|---|
| 48 | 72.39 | 1.65 | 0.979 | 0.967 | .043 |
CFI: Comparative fit index, TLI: Tucker-Lewis index, RMSEA: Root mean square error of approximation.
Standardized factor loadings for 12 items of the 4-factor model.
| Factor | ||||
|---|---|---|---|---|
| Items | Gift of Life | Benefits to Self | Medical Care | Negative Cons |
| Donating organs at death is a way of putting some parts of the body to beneficial use | .80 | |||
| The act of donation is about giving life to someone else | .88 | |||
| Organ donation is about helping other people | .76 | |||
| Becoming an organ donor makes a person feel proud | .64 | |||
| Deciding to donate one’s organs at death adds extra meaning to life | .80 | |||
| Donating a body part would enable that part of a person to live on | .64 | |||
| By agreeing to be an organ donor, doctors might declare a person dead too soon | .70 | |||
| It is hard to trust the doctors involved in organ donation | .75 | |||
| Doctors won’t try as hard to save the life of someone who is a potential donor | .79 | |||
| A person who is considering donating organs will feel like they have a piece missing when they are buried or cremated | .77 | |||
| The thought of a body being cut up or taken apart after a person has gone makes one feel uneasy | .79 | |||
| Organ donation leaves the body disfigured | .66 | |||
Means (SD), Pearson Product-Moment correlations and Cronbach’s alpha for the Beliefs about Organ Donation sub-scales (N = 330).
| Mean (SD) | 1 | 2 | 3 | α | |
|---|---|---|---|---|---|
| Gift of Life | 6.78 (0.65) | .85 | |||
| Benefits to Self | 6.01 (1.30) | .41 | .72 | ||
| Negative Cons | 2.19 (1.45) | -.29 | -.11 | .78 | |
| Medical Care | 1.90 (1.40) | -.24 | -.05 | .68 | .79 |
*p < .05.
**p < .01.
Means (SD), and Pearson Product-Moment correlations for four community items.
| Mean |
|
|
|
| |||||
|---|---|---|---|---|---|---|---|---|---|
| At this moment, do you feel: | |||||||||
| You are part of a community | 5.75 | 1.28 | |||||||
| You share similar feelings /mood to the other people | 5.62 | 1.31 | .59 | ||||||
| A communal sense of positivity | 5.87 | 1.27 | .59 | .63 | |||||
| That making this decision connects you to a broader community | 5.80 | 1.51 | .42 | .47 | .60 | ||||
**p < .01.
Fig 1Generalized structural equation model with factor loadings, odds ratios and correlations.
Comparison of fit for generalised structural equation models.
| Model | N | -2LL | df | AIC | BIC |
|---|---|---|---|---|---|
| Model 1 (with Positive Beliefs) | 357 | 7601.8 | 31 | 7663.819 | 7784.029 |
| Model 2 (without Positive Beliefs B) | 357 | 7608.7 | 30 | 7668.704 | 7785.036 |
AIC: Akaike’s information criterion BIC: Bayesian Information Criterion.
Categorized elicitations with percentage response.
| Atmosphere | Category | % | Homogenized words in category |
|---|---|---|---|
| Positive | 67.80 | Good, positive, happy, calm, friendly, helpful, supportive, great, welcoming, encouraging, enthusiastic, relaxed, warm informative, comfortable, peaceful, fine, open | |
| Busy | 13.03 | ||
| Cold/Negative | 2.45 | ||
| Neutral/normal | 2.25 | ||
| Noisy | 1.77 | ||
| Professional | 1.57 | ||
| Hospital-like | 1.33 | ||
| Other | 9.80 | ||
| Mood | Positive | 76.00 | happy, good, relaxed, positive; content, fine, thoughtful, ok, helpful, excited, grateful, hopeful, pleased, and optimistic, encouraged, community- minded |
| Stressed/anxious | 4.71 | ||
| Tired | 4.15 | ||
| Busy | 3.77 | ||
| Energetic | .18 | ||
| Other | 11.19 |