| Literature DB >> 36169231 |
Gurmukteshwar Singh1,2, Joseph DeWalle3, Bekir Tanriover4, Neeraj Singh5, Alex R Chang1,2, Prince M Anand6.
Abstract
BACKGROUND: Transplant patients have poor outcomes in coronavirus-disease 2019 (COVID-19). The pandemic's effects on rural patients' overall care experience, attitudes to telemedicine, and vaccination are poorly understood.Entities:
Keywords: COVID; COVID vaccine; SARS-CoV-2; kidney transplant; telemedicine; transplant; vaccine hesitancy
Year: 2022 PMID: 36169231 PMCID: PMC9539214 DOI: 10.1111/tid.13943
Source DB: PubMed Journal: Transpl Infect Dis ISSN: 1398-2273
Respondent characteristics: 303 respondents
| Characteristic | Value |
|---|---|
| Age at survey close, years, mean (SD) | 57 (15) |
| Concurrent organ transplants, | |
| Liver | 6 |
| Lung | 3 |
| Pancreas | 2 |
| Stem cell | 1 |
| Time since last kidney transplant, months mean (SD) | 88 (83) |
| Immunosuppression, | |
| Calcineurin inhibitor | 256 (84.5%) |
| Antimetabolite | 210 (69.3%) |
| Belatacept | 50 (16.5%) |
| Steroid | 29 (9.6%) |
| mTOR inhibitor | 20 (6.6%) |
| Area of residence, | |
| Rural | 160 (52.8%) |
| Suburban/small town | 72 (23.8%) |
| Lower density urban | 38 (12.5%) |
| Higher density urban | 24 (7.9%) |
| Unknown | 9 (3%) |
Abbreviation: SD, standard deviation.
Impact of the pandemic on access to care among 303 respondents
| Impact |
| Details |
|---|---|---|
| Problems with receiving immunosuppressants |
| |
| Reason |
Pharmacy didn't have tacrolimus ( Infusion center for belatacept closed ( | |
| Management |
Changed pharmacies ( Changed pharmacy and tacrolimus formulation ( Changed tacrolimus formulation or dose ( Changed infusion center ( Rationed tacrolimus pills ( | |
| Delayed/unable to get transplant labs |
|
Worried about COVID‐19 exposure ( Lab appointments restricted ( Issues with transportation ( Lab closed due to pandemic ( |
| Issues with transplant care access |
|
Slow/inadequate response to queries ( Canceled appointments due to fear of COVID‐19 exposure ( Appointments not available ( COVID‐19 infection precluded care ( |
| Switched to telemedicine |
|
Video visit ( Both video and telephone visits ( Telephone visits ( |
| Issues with telemedicine (among those who switched) |
|
No video device available ( Video visit too complicated to do ( Internet/technical problems ( Prefer in‐person visits ( Schedule conflicts/late calls ( |
Abbreviation: COVID‐19, coronavirus‐disease 2019.
Telemedicine experience in patients who completed telemedicine visits
| Positive impression on 0–10 Likert scale: ( | Mean (SD) |
|---|---|
|
| 7.7 (2.4) |
|
| 8.3 (2.1) |
|
| 8.1 (2.2) |
|
| 7.0 (2.6) |
Abbreviations: COVID‐19, coronavirus‐disease 2019; SD, standard deviation.
p = .0003 for comparison of video/both versus phone visits only.
Attitudes toward coronavirus‐disease 2019 (COVID‐19) preventive measures (299 respondents)
| Preventive measure | Adherence rate |
|---|---|
|
| |
|
| 206 (68.9%) |
|
| 45 (15.1%) |
|
| 161 (53.8%) |
|
| |
|
| 87 (42.2%) |
|
| 119 (57.8%) |
|
| |
|
| 8.2 (2.3) |
|
| 8.6 (1.7) |
|
| 7.1 (3.0) |
|
| |
|
| 9.3 (1.9) |
|
| 9.6 (1.3) |
|
| 8.6 (2.7) |
|
| 5 (1–9) |
Abbreviation: SD, standard deviation.
Median and inter‐quartile range reported due to variability.
p < .0001 for comparison.
FIGURE 1Reasons for unwillingness to receive coronavirus‐disease 2019 (COVID‐19) vaccination: The reasons are listed along the y‐axis and the number of patients reporting each reason along the x‐axis.