| Literature DB >> 35677683 |
Quentin Dominique Thomas1,2, Clémence Basse3,4, Yaniss Belaroussi5,6, Sophie Beaucaire-Danel3, Catherine Daniel3, Xavier Quantin1,2, Nicolas Girard3,4.
Abstract
Introduction: Telehealth is taking an increasingly important part of medicine. This practice change is being accelerated by the pandemic linked to coronavirus disease 2019. Oncology is a medical specialty for which this paradigm shift is particularly relevant.Entities:
Keywords: E-health; Lung cancer; Survey; Telemedicine; Thoracic oncology
Year: 2022 PMID: 35677683 PMCID: PMC9168151 DOI: 10.1016/j.jtocrr.2022.100333
Source DB: PubMed Journal: JTO Clin Res Rep ISSN: 2666-3643
Participant Answers According to Their Medical Structure
| Survey Item | Hospital Center | University Hospital Center | Cancer Center | Private Clinic | p Value |
|---|---|---|---|---|---|
| n (%) | 44 | 63 | 16 | 19 | |
| Age (y) | 0.039 | ||||
| <40 | 10 (22.7) | 29 (46.0) | 5 (31.2) | 3 (15.8) | |
| 40–50 | 19 (43.2) | 12 (19.0) | 6 (37.5) | 6 (31.6) | |
| >50 | 15 (34.1) | 22 (34.9) | 5 (31.2) | 10 (52.6) | |
| Medical specialty | <0.001 | ||||
| Pneumologist | 36 (81.8) | 52 (82.5) | 3 (18.8) | 14 (73.7) | |
| Medical oncologist | 7 (15.9) | 8 (12.7) | 7 (43.8) | 4 (21.1) | |
| Other | 1 (2.3) | 3 (4.8) | 6 (37.5) | 1 (5.3) | |
| Teleconsultation frequency (per mo) | 0.029 | ||||
| Never | 2 (4.5) | 4 (6.3) | 1 (6.2) | 6 (31.6) | |
| <5 | 23 (52.3) | 20 (31.7) | 5 (31.2) | 4 (21.1) | |
| 5–10 | 12 (27.3) | 22 (34.9) | 3 (18.8) | 5 (26.3) | |
| 10–30 | 5 (11.4) | 11 (17.5) | 4 (25.0) | 2 (10.5) | |
| >30 | 2 (4.5) | 6 (9.5) | 3 (18.8) | 2 (10.5) | |
| Start date | 0.026 | ||||
| Before COVID-19 (before 2020) | 2 (4.5) | 3 (4.8) | 0 (0.0) | 1 (5.3) | |
| Since COVID-19 (since 2020) | 40 (90.9) | 56 (88.9) | 15 (93.8) | 12 (63.2) | |
| Not practicing | 2 (4.5) | 4 (6.3) | 1 (6.2) | 6 (31.6) | |
| Medical involvement for teleconsultation logistic | 0.001 | ||||
| With medical involvement | 28 (63.6) | 26 (41.3) | 3 (18.8) | 9 (47.4) | |
| Without medical involvement | 14 (31.8) | 34 (54.0) | 12 (75.0) | 5 (26.3) | |
| Not concerned | 2 (4.5) | 3 (4.8) | 1 (6.2) | 5 (26.3) | |
| Overall duration of the teleconsultation (compared with a physical consultation) | 0.488 | ||||
| Equivalent | 10 (22.7) | 10 (15.9) | 4 (25.0) | 2 (10.5) | |
| Shorter | 28 (63.6) | 47 (74.6) | 10 (62.5) | 14 (73.7) | |
| Longer | 5 (11.4) | 3 (4.8) | 0 (0.0) | 1 (5.3) | |
| Other | 1 (2.3) | 3 (4.8) | 2 (12.5) | 2 (10.5) | |
| Activity distribution | 0.439 | ||||
| Exclusively phone teleconsultation | 24 (54.5) | 27 (42.9) | 8 (50.0) | 8 (42.1) | |
| Exclusively video teleconsultation | 1 (2.3) | 1 (1.6) | 0 (0.0) | 2 (10.5) | |
| As many phone teleconsultations as video teleconsultation | 2 (4.5) | 5 (7.9) | 2 (12.5) | 0 (0.0) | |
| Principally phone consultation | 8 (18.2) | 21 (33.3) | 3 (18.8) | 3 (15.8) | |
| Principally video consultation | 6 (13.6) | 6 (9.5) | 2 (12.5) | 5 (26.3) | |
| Overall opinion on teleconsultation | 0.220 | ||||
| No contribution | 10 (22.7) | 5 (7.9) | 0 (0.0) | 5 (26.3) | |
| Moderate improvement | 27 (61.4) | 45 (71.4) | 12 (75.0) | 10 (52.6) | |
| Important improvement | 3 (6.8) | 8 (12.7) | 2 (12.5) | 2 (10.5) | |
| Total change | 2 (4.5) | 0 (0.0) | 1 (6.2) | 0 (0.0) |
COVID-19, coronavirus disease 2019.
Figure 1Highlight results of survey.