| Literature DB >> 32893293 |
Lorenzo Cavagna1, Giovanni Zanframundo1, Veronica Codullo1, Maria Grazia Pisu2, Roberto Caporali3, Carlomaurizio Montecucco1.
Abstract
OBJECTIVES: The SARS-CoV-2 outbreak has imposed considerable restrictions on people's mobility, which affects the referral of chronically ill patients to health care structures. The emerging need for alternative ways to follow these patients up is leading to a wide adoption of telemedicine. We aimed to evaluate the feasibility of this approach for our cohort of patients with CTDs, investigating their attitude to adopting telemedicine, even after the pandemic.Entities:
Keywords: COVID-19; SARS-CoV-2; connective tissue diseases; idiopathic inflammatory myopathies; systemic lupus erythematosus; systemic sclerosis; tele-rheumatology; telemedicine
Year: 2021 PMID: 32893293 PMCID: PMC7499691 DOI: 10.1093/rheumatology/keaa554
Source DB: PubMed Journal: Rheumatology (Oxford) ISSN: 1462-0324 Impact factor: 7.580
Answers to the survey organized according to age range
| Age, range in years | Number of patients (% | Availability of a personal computer (%) | Availability of a smartphone (%) | Availability of an internet access (%) | Availability of e-mail account (%) | Skills to direct upload of files in the personal computer (%) | Availability of external support for the upload of filesb (%) | Willing to do telemedicine visits (%) | Preferring to do telemedicine over in-person visits (%) |
|---|---|---|---|---|---|---|---|---|---|
|
| 28 (8%) | 28 (100%) | 28 (100%) | 28 (100%) | 28 (100%) | 28 (100%) | Not applicable | 28 (100%) | 24 (86%) |
|
| 50 (14%) | 42 (84%) | 46 (92%) | 48 (96%) | 46 (92%) | 46 (92%) | 2 (4%) | 44 (88%) | 34 (68%) |
|
| 80 (23%) | 66 (83%) | 70 (88%) | 76 (95%) | 70 (88%) | 54 (68%) | 22 (28%) | 76 (95%) | 66 (83%) |
|
| 74 (21%) | 42 (57%) | 62 (84%) | 62 (84%) | 58 (77%) | 24 (31%) | 40 (54%) | 54 (73%) | 36 (49%) |
|
| 108 (31%) | 44 (41%) | 60 (56%) | 66 (61%) | 62 (57%) | 22 (20%) | 58 (54%) | 68 (63%) | 52 (48%) |
|
| 10 (3%) | 2 (20%) | 2 (20%) | 2 (20%) | 4 (40%) | 0 (0) | 4 (40%) | 4 (40%) | 4 (40%) |
|
| 350 (100%) | 224 (64%) | 268 (76%) | 282 (80%) | 268 (76%) | 174 (49%) | 126 (36%) | 274 (78%) | 216 (62%) |
Percentage of the total. bQuestions only addressed to patients without skills to upload files from their personal computer. Percentages are expressed with respect to the numbers of patients in various groups, if not otherwise specified.
Multivariate logistic regression for telemedicine acceptance, telemedicine preference and ability to upload files
| Variable | OR | 95% CI lower bound | 95% CI upper bound |
|
|---|---|---|---|---|
|
| ||||
| Age | 0.96 | 0.9 | 1.03 | 0.28 |
| Gender (female as reference) | 0.54 | 0.14 | 2.03 | 0.36 |
| Diagnosis ( | 0.99 | 0.29 | 5.59 | 0.8 |
|
Education level ( | 0.17 | 0.03 | 0.86 |
|
|
Occupation ( | 0.54 | 0.1 | 2.8 | 0.88 |
| No. of visit in 2019 | 0.98 | 0.77 | 1.28 | 0.99 |
| Distance from the hospital ( | 4.7 | 1.38 | 15.94 |
|
|
| ||||
| Age | 0.97 | 0.92 | 1.02 | 0.27 |
| Gender (female as reference) | 0.48 | 0.17 | 1.35 | 0.16 |
| Diagnosis ( | 0.29 | 0.09 | 0.94 |
|
|
Education level ( | 0.14 | 0.02 | 0.89 |
|
|
Occupation ( | 0.87 | 0.24 | 3.14 | 0.83 |
| No. of visits in 2019 | 0.82 | 0.66 | 1.01 | 0.06 |
| Distance from the hospital ( | 1.83 | 0.78 | 4.33 | 0.17 |
|
| ||||
| Age | 0.85 | 0.79 | 0.91 |
|
| Gender | 5.45 | 1.46 | 20.33 | 0.012 |
| Diagnosis | 1.36 | 0.93 | 1.99 | 0.11 |
|
Education level ( | 0.17 | 0.08 | 0.37 |
|
|
Occupation (students as reference) | 0.69 | 0.32 | 1.47 | 0.34 |
| No. of visits in 2019 | 0.74 | 0.56 | 0.98 | 0.036 |
OR: odds ratio