| Literature DB >> 34386581 |
Sophia Smith1, Nicole Haseley1, Maria Keller2, Renee Cadzow3, Thomas H Feeley4, Liise K Kayler1,5.
Abstract
BACKGROUND: Living kidney donation (LKD) improves transplant access; however, its use is compromised, in part, by individuals' unaddressed concerns about perioperative complications.Entities:
Year: 2021 PMID: 34386581 PMCID: PMC8352607 DOI: 10.1097/TXD.0000000000001194
Source DB: PubMed Journal: Transplant Direct ISSN: 2373-8731
FIGURE 1.Application of theory and best practice frameworks for the development of the educational video. KTX, kidney transplant; LKD, live kidney donation.
Baseline characteristics of study participants
| Characteristic | Phase 1 video development participants (N = 35) | Phase 2 transplant candidates(N = 12) | Phase 2 donor candidates(N = 12) |
|---|---|---|---|
| Kidney transplant candidates, n | 10 | 100 (12/12) | . |
| Kidney transplant recipients, n | 10 | . | . |
| Prior live kidney donors, n | 5 | . | . |
| Potential live kidney donors, n | 5 | . | 100 (12/12) |
| Care partner, n | 5 | . | . |
| Age, median ± SD, y | 51 ± 11.7 | 52.6 ± 18.6 | 46 ± 14.7 |
| Male sex, % (n/N) | 37 (13/35) | 33 (4/12) | 17 (2/12) |
| Black race, % (n/N) | 23 (8/35) | 50 (6/12) | 17 (2/12) |
| Dialysis duration, % (n/N) | |||
| Not on dialysis | 40 (8/20) | 25 (3/12) | . |
| <1 y | 15 (3/20) | 58 (7/12) | . |
| ≥1 y | 45 (9/20) | 17 (2/12) | . |
| Prior kidney transplant, % (n/N) | 50 (10/20) | 8 (1/12) | . |
| Education, % (n/N) | |||
| High school or trade school graduate | 34 (12/35) | 58 (7/12) | 33 (4/12) |
| Some college or higher | 66 (23/35) | 42 (5/12) | 67 (8/12) |
| Lives with another adult in the household, % (n/N) | 74 (26/35) | 75 (9/12) | 100 (12/12) |
| Full- or part-time employment, % (n/N) | 46 (16/35) | 25 (3/12) | 83 (10/12) |
| Total household yearly income, % (n/N), US$ | |||
| ≤$30 000 | 17 (6/35) | 58 (7/12) | 8 (1/12) |
| $30 000–$50 000 | 20 (7/35) | 0 (0/12) | 8 (1/12) |
| >$50 000 | 51 (18/35) | 25 (3/12) | 67 (8/12) |
| No response | 11 (4/35) | 17 (2/12) | 17 (2/12) |
| Access to technology, % (n/N) | |||
| Participant has a working internet-capable cellular phone | 97 (34/35) | 100 (12/12) | 100 (12/12) |
| Household has a working internet-capable cellular phone | 83 (29/35) | 83 (10/12) | 100 (12/12) |
| Participant has a working computer or tablet like an iPad | 83 (29/35) | 75 (9/12) | 100 (12/12) |
| Household has a working computer or tablet like an iPad | 77 (27/35) | 58 (7/12) | 100 (12/12) |
| Participant sends or receives text messages | 100 (35/35) | 100 (12/12) | 100 (12/12) |
| Participant sends or receives email | 100 (35/35) | 100 (12/12) | 100 (12/12) |
| Internet and social media use, % (n/N) | |||
| Spends >1 h on the internet weekly | . | 92 (11/12) | 100 (12/12) |
| Uses social media at least once a week | . | 75 (9/12) | 92 (11/12) |
| Has active Facebook account | . | 92 (11/12) | 83 (10/12) |
| Frequency that someone helps you read hospital materials, % (n/N) | |||
| Never | 57 (20/35) | 58 (7/12) | 83 (10/12) |
| Sometimes | 29 (10/35) | 33 (4/12) | 8 (1/12) |
| Often | 11 (4/35) | 8 (1/12) | 0 (0/12) |
| A lot | 3 (1/35) | 0 (0/12) | 8 (1/12) |
| Comfort level filling out forms alone, % (n/N) | |||
| Very comfortable | 77 (27/35) | 50 (6/12) | 75 (9/12) |
| Somewhat comfortable | 11 (4/35) | 25 (3/12) | 25 (3/12) |
| Somewhat uncomfortable | 3 (1/35) | 25 (3/12) | 0 (0/12) |
| Very uncomfortable | 9 (3/35) | 0 (0/12) | 0 (0/12) |
| Quite good or extremely good at working with percentages, % (n/N) | . | 42 (5/12) | 67 (8/12) |
| Quite good or extremely good at figuring out how much a shirt will cost it is 25% off, % (n/N) | . | 67 (8/12) | 75 (9/12) |
Animation revisions based on input from individuals with kidney disease, family members, and potential and prior live kidney donors
| Stakeholder feedback | Animation revision |
|---|---|
| • Content is confusing about laparoscopic approach, conversion to open, blood thinner mode of delivery, and source of payment for donor-related complications. | • Improved description and visuals of content about complications. |
Comparison of participant knowledge scores before and after animation viewing
| Knowledge score (IQR, 1–8) | Pretest, mean ± SD | Posttest, mean ± SD | Change, % | Effect size (R) | |
|---|---|---|---|---|---|
| Total cohort (n = 24) | 5.7 ± 2.0 | 7.0 ± 1.4 | 23 | 3.34 | 0.48 |
| Black race (n = 8) | 4.8 ± 1.3 | 6.6 ± 1.1 | 38 | 2.41 | 0.60 |
| Non-Black race (n = 16) | 6.1 ± 2.1 | 7.2 ± 1.5 | 18 | 2.39 | 0.42 |
| Education, less than college (n = 11) | 5.6 ± 2.0 | 7.2 ± 0.9 | 29 | 2.39 | 0.51 |
| Education, college level (n = 13) | 5.8 ± 2.0 | 6.9 ± 1.7 | 19 | 2.39 | 0.47 |
| <Median literacy/numeracy (n = 10) | 5.4 ± 2.3 | 7.1 ± 1.0 | 31 | 2.23 | 0.50 |
| ≥Median literacy/numeracy (n = 14) | 5.9 ± 1.7 | 6.9 ± 1.6 | 17 | 2.55 | 0.48 |
| Age ≥60 y (n = 9) | 4.6 ± 2.3 | 6.4 ± 1.9 | 39 | 2.23 | 0.53 |
| Age <60 y (n = 15) | 6.3 ± 1.5 | 7.3 ± 0.8 | 16 | 2.55 | 0.47 |
| Income ≤$50 000 (n = 9) | 5.0 ± 2.6 | 6.7 ± 1.9 | 34 | 2.04 | 0.48 |
| Income >$50 000 (n = 11) | 5.8 ± 1.5 | 7.0 ± 1.0 | 21 | 2.41 | 0.51 |
| Transplant candidate (n = 12) | 4.8 ± 2.1 | 6.5 ± 1.7 | 35 | 2.41 | 0.49 |
| Potential live kidney donor (n = 12) | 6.6 ± 1.4 | 7.5 ± 0.8 | 14 | 2.41 | 0.49 |
| <Median technology access (n = 5) | 5.6 ± 3.1 | 7.6 ± 0.5 | 36 | 1.34 | 0.42 |
| ≥Median technology access (n = 19) | 5.7 ± 1.7 | 6.8 ± 1.5 | 19 | 3.12 | 0.51 |
aEffect size, interpretation: 0.10 = small effect, 0.24 = medium effect, and 0.37 = large effect.
bLow health literacy/numeracy was defined as a score <10 on the summed score of 4 items.
cLow technology access was defined as a score <6 on the summed score of 6 items.
IQR, interquartile range.