| Literature DB >> 33690147 |
Felix Muehlensiepen1,2,3, Johannes Knitza4, Wenke Marquardt1, Jennifer Engler5, Axel Hueber6, Martin Welcker7.
Abstract
BACKGROUND: The worldwide burden of musculoskeletal diseases is increasing. The number of newly registered rheumatologists has stagnated. Primary care, which takes up a key role in early detection of rheumatic disease, is working at full capacity. COVID-19 and its containment impede rheumatological treatment. Telemedicine in rheumatology (telerheumatology) could support rheumatologists and general practitioners.Entities:
Keywords: COVID-19; eHealth; health services research; mHealth; primary care; rheumatology; telemedicine
Mesh:
Year: 2021 PMID: 33690147 PMCID: PMC8042540 DOI: 10.2196/23742
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Participant demographics.
| Demographic | Rheumatologists, n (%)a | General practitioners, n (%)a | Total, n (%)a | ||||||
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|
| |||||
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| Total | 47 (100) | 427 (100) | .22 | 474 (100) | ||||
|
| <40 | 4 (9) | 36 (8.4) |
| 40 (8.4) | ||||
|
| 40-50 | 16 (34) | 85 (19.9) |
| 101 (21.3) | ||||
|
| 51-60 | 20 (43) | 208 (48.7) |
| 228 (48.1) | ||||
|
| >60 | 7 (15) | 98 (23.0) |
| 105 (22.2) | ||||
|
|
|
|
|
| |||||
|
| Total | 46 (100) | 424 (100) | .17 | 470 (100) | ||||
|
| Female | 19 (41) | 235 (55.4) |
| 254 (54.0) | ||||
|
| Male | 27 (59) | 189 (44.6) |
| 216 (46.0) | ||||
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|
|
|
|
| |||||
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| Total | 47 (100) | 427 (100) | <.001 | 474 (100) | ||||
|
| City | 23 (49) | 62 (14.5) |
| 85 (17.9) | ||||
|
| Town | 10 (21) | 144 (33.7) |
| 154 (32.5) | ||||
|
| Provincial town | 14 (30) | 144 (33.7) |
| 158 (33.3) | ||||
|
| Rural area | 0 (0) | 77 (18.0) |
| 77 (16.2) | ||||
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|
|
|
|
| |||||
|
| Total | 47 (100) | 424 (100) | <.001 | 471 (100) | ||||
|
| Single-handed | 10 (21) | 242 (57.1) |
| 252 (53.5) | ||||
|
| Group | 37 (79) | 182 (42.9) |
| 219 (46.5) | ||||
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|
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|
| |||||
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| Total | 45 (100) | 411 (100) | .14 | 456 (100) | ||||
|
| <500 | 4 (9) | 15 (3.6) |
| 19 (4.2) | ||||
|
| 500-1000 | 17 (38) | 130 (31.6) |
| 147 (32.2) | ||||
|
| >1000 | 24 (53) | 266 (64.7) |
| 290 (63.6) | ||||
aPercentages may not add up to 100% due to rounding.
Telemedicine: knowledge and use.
| Question and responses | Rheumatologists, n (%)a | General practitioners, n (%)a | Total, n (%)a | ||||||
|
|
|
|
|
| |||||
|
| Total | 47 (100) | 429 (100) | .14 | 476 (100) | ||||
|
| 1 (very good) | 1 (2) | 19 (4.4) |
| 20 (4.2) | ||||
|
| 2 (good) | 8 (17) | 34 (7.9) |
| 42 (8.8) | ||||
|
| 3 (satisfactory) | 9 (19) | 56 (13.1) |
| 65 (13.7) | ||||
|
| 4 (unsatisfactory) | 9 (19) | 110 (25.6) |
| 119 (25.0) | ||||
|
| 5 (poor) | 16 (34) | 138 (32.2) |
| 154 (32.4) | ||||
|
| 6 (very poor) | 4 (9) | 72 (16.8) |
| 76 (16.0) | ||||
|
|
|
|
|
| |||||
|
| Total | 47 (100) | 433 (100) | .15 | 480 (100) | ||||
|
| Yes | 16 (34) | 106 (24.5) |
| 122 (25.4) | ||||
|
| No | 31 (66) | 327 (75.5) |
| 358 (74.6) | ||||
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| |||||
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| Total | 46 (100) | 421 (100) | .45 | 467 (100) | ||||
|
| Yes | 31 (67) | 260 (61.8) |
| 291 (62.3) | ||||
|
| No | 15 (33) | 161 (38.2) |
| 176 (37.7) | ||||
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| |||||
|
| Total | 30 (100) | 260 (100) | .26 | 290 (100) | ||||
|
| Yes | 25 (83) | 234 (90.0) |
| 259 (89.3) | ||||
|
| No | 5 (17) | 26 (10.0) |
| 31 (10.7) | ||||
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|
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| |||||||
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| Total | 31 (100) | 261 (100) |
| 292 (100) | ||||
|
| Purchase of technology equipment | 16 (52) | 166 (63.6) | .19 | 182 (62.3) | ||||
|
| Administration | 21 (68) | 160 (61.3) | .49 | 181 (62.0) | ||||
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| Poor reimbursement | 21 (68) | 135 (51.7) | .09 | 156 (53.4) | ||||
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| Data security | 15 (48) | 120 (46.0) | .80 | 135 (46.2) | ||||
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| Lack of participation by colleagues | 8 (26) | 89 (34.1) | .35 | 97 (33.2) | ||||
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| Technical comprehension of patients | 12 (39) | 84 (32.3) | .47 | 96 (32.9) | ||||
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| Poor internet connection | 5 (16) | 52 (19.9) | .61 | 57 (19.5) | ||||
aPercentages may not add up to 100% due to rounding or where multiple selections were possible.
Implementation of telemedicine in rheumatology care.
| Question and responses | Rheumatologists, n (%)a | General practitioners, n (%)a | Total, n (%)a | ||||||
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| |||||
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| Total | 43 (100) | 125 (100) | .18 | 168 (100) | ||||
|
| Yes | 32 (74) | 85 (68.0) |
| 117 (69.6) | ||||
|
| No | 11 (26) | 40 (32.0) |
| 51 (30.4) | ||||
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|
|
| |||||||
|
| Total | 45 (100) | 410 (100) |
| 455 (100) | ||||
|
| Physician-physician | 36 (80) | 334 (81.5) | .88 | 370 (81.3) | ||||
|
| Physician-patient | 28 (62) | 185 (45.1) | .03 | 213 (46.8) | ||||
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| Physician-assistant | 14 (31) | 103 (25.1) | .38 | 117 (25.7) | ||||
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| Other participants and combinations | 5 (11) | 13 (3.2) | .009 | 18 (4.0) | ||||
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| No communication | 3 (7) | 54 (13.2) | .21 | 57 (12.6) | ||||
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|
|
| |||||||
|
| Total | 45 (100) | 407 (100) |
| 452 (100) | ||||
|
| Screening | 23 (51) | 110 (27.0) | .001 | 133 (29.4) | ||||
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| Initial contact | 11 (24) | 142 (34.9) | .16 | 153 (33.8) | ||||
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| Follow-up | 32 (71) | 259 (63.6) | .32 | 291 (64.4) | ||||
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| Other stages | 7 (16) | 38 (9.4) | .19 | 45 (10.0) | ||||
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| At no stage | 8 (18) | 69 (17.0) | .90 | 77 (17.1) | ||||
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| |||||||
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| Total | 44 (100) | 126 (100) |
| 170 (100) | ||||
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| Telecounseling | 24 (55) | 55 (43.7) | .21 | 79 (45.5) | ||||
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| Telediagnostics | 18 (41) | 58 (46.0) | .56 | 76 (44.7) | ||||
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| Video consultations | 19 (43) | 48 (38.1) | .55 | 67 (39.4) | ||||
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| Online appointment assignments | 20 (45) | 36 (28.6) | .04 | 56 (32.9) | ||||
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| e-Learning | 15 (34) | 40 (31.7) | .78 | 55 (32.4) | ||||
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| Patient apps | 17 (39) | 31 (24.6) | .08 | 48 (28.2) | ||||
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| Digital screening | 15 (34) | 21 (16.7) | .02 | 36 (21.2) | ||||
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| Wearable devices | 9 (20) | 11 (8.7) | .04 | 20 (11.8) | ||||
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| Telesurgery | 3 (7) | 4 (3.2) | .30 | 7 (4.1) | ||||
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| Other tools | 2 (5) | 2 (1.6) | .27 | 4 (2.4) | ||||
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| No tools | 6 (14) | 15 (11.9) | .76 | 21 (12.4) | ||||
aPercentages do not add up to 100% where multiple selections were possible.