| Literature DB >> 35882636 |
Aresh Al Salman1,2, Amirreza Fatehi1, Tom J Crijns1,2, David Ring3, Job N Doornberg2.
Abstract
BACKGROUND: The SARS-CoV-2 (COVID-19) pandemic has the potential to evoke lasting changes in the delivery of care, and the utilization of telehealth. We sought associations between surgeon personal factors and greater use of telehealth to treat fractures relative to in-person care.Entities:
Keywords: COVID-19; Fracture care; Surgeon preferences; Telehealth; Trauma
Year: 2022 PMID: 35882636 PMCID: PMC9323880 DOI: 10.1007/s00068-022-02065-z
Source DB: PubMed Journal: Eur J Trauma Emerg Surg ISSN: 1863-9933 Impact factor: 2.374
Surgeon characteristics
| Variable | Value |
|---|---|
| 75 | |
| Men | 70 (93%) |
| Location of practice | |
| Europe | 29 (39%) |
| United States | 22 (29%) |
| Other | 24 (32%) |
| Years in practice | |
| 0–5 | 19 (25%) |
| 6–10 | 14 (19%) |
| 11–20 | 21 (28%) |
| 21–30 | 21 (28%) |
| Supervising trainees | 67 (89%) |
| Currently have young children | 27 (36%) |
| Preference for remote meeting (vs. in-person) | 9 (12%) |
| Preference for communicating with colleagues by email (vs. phone calls) | 38 (50%) |
| Surgeon opinion about patient preference for communicating by email (vs. phone calls) | 7 (9%) |
| Preference for working from home (vs. the office to avoid distractions) | 41 (54%) |
| Preference for webinars (vs. in-person conferences) | 23 (30%) |
| Self-reported personality (− 50 = introvert, 50 = extrovert) | 2 (− 15 to 21) |
| Hands-on physical exam is essential (− 50 = completely disagree, 50 = completely agree) | 36 (21–48) |
| Enjoyable commute (− 50 = dread it, 50 = enjoy it) | 5 (0–30) |
| During the COVID-19 pandemic | |
| Using telemedicine to treat fractures | 37 (52%) |
| Percentage of telemedicine consults (vs. in-office) | 18% (2–51%) |
Continuous variables as median [interquartile range (IQR)]; discrete variables as number (percentage)
Agreement: − 50 = strong disagreement, 0 = neutral, 50 = strong agreement
Bivariate analysis of factors associated with the use of telehealth during the COVID-19 pandemic
| Categorical variables | Percentage of telehealth visits | Using telehealth | |||
|---|---|---|---|---|---|
| Yes | No | ||||
| Gender | 0.46 | 0.056 | |||
| Men | 15% (1–52) | 33 (50%) | 32 (49%) | ||
| Women | 28% (25–30) | 5 (100%) | 0 | ||
| Location of practice | 0.48 | 0.95 | |||
| United States | 14% (0–37) | 12 (55%) | 10 (45%) | ||
| Europe | 22% (5–65) | 14 (54%) | 12 (46%) | ||
| Other | 20% (2–51) | 11 (50%) | 11 (50%) | ||
| Years in practice | 0.059 | 0.9 | |||
| 0–5 | 10% (0–22) | 8 (50%) | 8 (50%) | ||
| 6–10 | 43% (11–75) | 8 (57%) | 6 (43%) | ||
| 11–20 | 20% (0–50) | 10 (48%) | 11 (52%) | ||
| 21–30 | 28% (4–52) | 11 (58%) | 8 (42%) | ||
| Supervising trainees | 0.89 | > 0.99 | |||
| Yes | 13% (10–50) | 34 (53%) | 30 (47%) | ||
| No | 20% (2–52) | 3 (50%) | 3 (50%) | ||
| Currently have young children | 0.75 | 0.46 | |||
| Yes | 11% (1–75) | 11 (46%) | 13 (54%) | ||
| No | 22% (4–40) | 26 (57%) | 20 (43%) | ||
| Preference for remote meetings | 0.92 | > 0.99 | |||
| Yes | 18% (5–55) | 4 (50%) | 4 (50%) | ||
| No | 18% (2–51) | 33 (53%) | 29 (47%) | ||
| Preference for email with colleagues | 0.74 | 0.63 | |||
| Yes | 24% (2–50) | 15 (43%) | 20 (57%) | ||
| No | 14% (1–65) | 17 (49%) | 18 (51%) | ||
| Surgeon opinion about patient preference for communicating by email (vs. phone calls) | 0.72 | > 0.99 | |||
| Yes | 14% (4–31) | 4 (57%) | 3 (43%) | ||
| No | 20% (1–52) | 33 (52%) | 30 (48%) | ||
| Preference for working at home | 0.27 | 0.81 | |||
| Yes | 25% (5–52) | 21 (55%) | 17 (45%) | ||
| No | 12% (0–44) | 16 (50%) | 16 (50%) | ||
| Preference for webinars | 0.12 | > 0.99 | |||
| Yes | 25% ( 11–73) | 11 (55%) | 9 (45%) | ||
| No | 16% (0–50) | 26 (52%) | 24 (48%) | ||
Continuous variables as median [interquartile range (IQR)]
Comfort level: –50 = uncomfortable, 50 = comfortable (0 = neutral), agreement –50 = disagree, 50 = agree (0 = neutral)
Bold indicates statistical significance, P < 0.05
Fracture care during the COVID-19 pandemic using telemedicine
| Variable | Median (IQR) |
|---|---|
| Missing the physical examination (–50 = completely disagree, 50 = completely agree) | 30 (1–50) |
| Able to teach exercises, give hand-outs, and direct people to online resources (–50 = completely disagree, 50 = completely agree) | –5 (–27 to 15) |
| Ordering X-rays differently during recovery (–50 = much less, 50 = much more) | 0 (–21 to 0) |
| Offering discretionary surgery differently during the pandemic (–50 = much less, 50 = much more) | 0 (–8 to 1) |
| Missing the physical examination for fractures with a good prognosis with natural healing (–50 = completely disagree, 50 = completely agree) | 0 (–9 to 25) |
| Not needing more X-rays for fractures with a good prognosis with natural healing (–50 = completely disagree, 50 = completely agree) | 0 (–26 to 20) |
| Comfortable evaluating wounds without an in-person visit (–50 = completely disagree, 50 = completely agree) | –6 (–36 to 25) |
Continuous variables as median [interquartile range (IQR)]; discrete variables as number (percentage)
Agreement: –50 = strong disagreement, 0 = neutral, 50 = strong agreement, frequency: –50 = much less, 0 = same, 50 = much more
Bivariate analysis of factors associated with treating fractures with a good prognosis for natural healing via telehealth during the COVID-19 pandemic
| Categorical variables | Not needing more radiographs | Continuing telehealth | |||
|---|---|---|---|---|---|
| Yes | No | ||||
| Gender | 0.84 | > 0.99 | |||
| Men | 0 (–26 to 21) | 43 (66%) | 22 (34%) | ||
| Women | 0 (–20 to 1) | 4 (80%) | 1 (20%) | ||
| Location of practice | 0.64 | 0.39 | |||
| United States | –10 (–27 to 12) | 13 (59%) | 9 (41%) | ||
| Europe | 0 (–24 to 21) | 20 (77%) | 6 (23%) | ||
| Other | –2 (–20 to 30) | 14 (64%) | 8 (36%) | ||
| Years in practice | 0.35 | 0.42 | |||
| 0–5 | 7 (–11 to 23) | 11 (69%) | 5 (31%) | ||
| 6–10 | 0 (–26 to 16) | 8 (57%) | 6 (43%) | ||
| 11–20 | –2 (–27 to 34) | 10 (48%) | 11 (52%) | ||
| 21–30 | –16 (–37 to 12) | 8 (42%) | 11 (58%) | ||
| Supervising trainees | 0.94 | > 0.99 | |||
| Yes | 0 (–29 to 21) | 34 (53%) | 30 (47%) | ||
| No | –7 (–13 to 0) | 3 (50%) | 3 (50%) | ||
| Currently have young children | 0.59 | ||||
| Yes | 13 (–10 to 26) | 15 (63%) | 9 (37%) | ||
| No | –11 (–34 to 12) | 32 (70%) | 14 (30%) | ||
| Preference for remote meetings | 0.54 | > 0.99 | |||
| Yes | –2 (–13 to 30) | 6 (75%) | 2 (25%) | ||
| No | 0 (–27 to 20) | 41 (66%) | 21 (34%) | ||
| Preference for email with colleagues | 0.074 | > 0.99 | |||
| Yes | 6 (–20 to 30) | 23 (66%) | 12 (34%) | ||
| No | –11 (–34 to 16) | 24 (69%) | 11 (31%) | ||
| Surgeon opinion about patient preference for communicating by email (vs. phone calls) | 0.94 | 0.41 | |||
| Yes | 0 (–26 to 21) | 6 (86%) | 1 (14%) | ||
| No | 1 (–27 to 15) | 41 (65%) | 22 (35%) | ||
| Preference for working at home | 0.71 | 0.31 | |||
| Yes | 0 (–29 to 18) | 28 (74%) | 10 (26%) | ||
| No | 0 (–26 to 25) | 19 (59%) | 13 (41%) | ||
| Preference for webinars | 0.34 | ||||
| Yes | –10 (–36 to 21) | 18 (90%) | 2 (10%) | ||
| No | 0 (–11 to 15) | 29 (58%) | 21 (42%) | ||
Continuous variables as median [interquartile range (IQR)]
Agreement: –50 = completely disagree, 0 = neutral, 50 = completely agree
Bold indicates statistical significance, P < 0.05
Bivariate analysis of factors associated with treating fractures via telehealth during the COVID-19 pandemic
| Categorical variables | Offering discretionary surgery differently through telehealth | Not needing more radiographs | 2-week telehealth check-up is a viable option | ||||
|---|---|---|---|---|---|---|---|
| Yes | No | ||||||
| Gender | 0.47 | 0.93 | 0.66 | ||||
| Men | 0 (–8 to 1) | 0 (–22 to 0) | 30 (46%) | 35 (54%) | |||
| Women | 0 (0–1) | 0 (–16 to 0) | 3 (60%) | 2 (40%) | |||
| Location of practice | 0.68 | 0.21 | 0.11 | ||||
| United States | 0 (–1 to 0) | 0 (–13 to 1) | 7 (32%) | 15 (68%) | |||
| Europe | 0 (–8 to 6) | –3 (–25 to 0) | 12 (46%) | 14 (54%) | |||
| Other | 0 (–9 to 21) | 0 (–21 to 1) | 14 (64%) | 8 (36%) | |||
| Years in practice | 0.78 | 0.32 | |||||
| 0–5 | 0 (–20 to 1) | 0 (–11 to 2) | 9 (56%) | 7 (44%) | |||
| 6–10 | 0 (–8 to 10) | 1 (–1 to 9) | 4 (29%) | 10 (71%) | |||
| 11–20 | 0 (–1 to 0) | –1 (–25 to 0) | 12 (57%) | 9 (43%) | |||
| 21–30 | 0 (–8 to 1) | –13 (–33 to 0) | 8 (42%) | 11 (58%) | |||
| Supervising trainees | 0.68 | 0.17 | > 0.99 | ||||
| Yes | 0 (–8 to 1) | 0 (–21 to 0) | 30 (47%) | 34 (53%) | |||
| No | 0 (0–0) | 1 (–1 to 6) | 3 (50%) | 3 (50%) | |||
| Currently have young children | 0.83 | 0.28 | 0.80 | ||||
| Yes | 0 (–6 to 8) | 0 (–15 to 3) | 12 (50%) | 12 (50%) | |||
| No | 0 (–8 to 1) | –1 (–23 to 0) | 21 (46%) | 25 (54%) | |||
| Preference for remote meetings | 0.64 | 0.38 | 0.46 | ||||
| Yes | 0 (–8 to 1) | 0 (–3 to 1) | 5 (63%) | 3 (37%) | |||
| No | 0 (0–1) | 0 (–21 to 0) | 28 (45%) | 34 (55%) | |||
| Preference for email with colleagues | 0.64 | 0.33 | > 0.99 | ||||
| Yes | 0 (–13 to 1) | 0 (–23 to 0) | 17 (49%) | 18 (51%) | |||
| No | 0 (–8 to 1) | 0 (–20 to 2) | 16 (46%) | 19 (54%) | |||
| Surgeon opinion about patient preference for communicating by email (vs. phone calls) | 0.33 | 0.085 | > 0.99 | ||||
| Yes | 0 (–27 to 0) | 0 (0–6) | 3 (43%) | 4 (57%) | |||
| No | 0 (–8 to 1) | –1 (–23 to 0) | 30 (48%) | 33 (52%) | |||
| Preference for working at home | 0.25 | 0.64 | 0.16 | ||||
| Yes | 0 (–5 to 0) | 0 (–23 to 0) | 21 (55%) | 17 (45%) | |||
| No | 0 (–8 to 12) | 0 (–19 to 1) | 12 (38%) | 20 (62%) | |||
| Preference for webinars | 0.27 | 0.081 | 0.069 | ||||
| Yes | 0 (–7 to 0) | 0 (–15 to 8) | 13 (65%) | 7 (35%) | |||
| No | 0 (–8 to 3) | –1 (–21 to 0) | 20 (40%) | 30 (60%) | |||
Continuous variables as median [interquartile range (IQR)]
Agreement: – 50 = disagree, 50 = agree (0 = neutral)
Frequency: –50 = much less, 50 = much more (0 = same)
Bold indicates statistical significance, P < 0.05
Bivariate analysis of factors associated with treating fractures with a good prognosis for natural healing via telemedicine during the COVID-19 pandemic
| Categorical variables | Missing physical examination | Not needing more X- rays | Viability telemedicine | Continuing telemedicine | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yes | No | Yes | No | |||||||
| Gender | 0.38 | 0.84 | > 0.99 | > 0.99 | ||||||
| Men | 0 (− 9 to 28) | 0 (− 26 to 21) | 46 (71%) | 19 (29%) | 43 (66%) | 22 (34%) | ||||
| Women | 0 (− 1 to 11) | 0 (− 20 to 1) | 4 (80%) | 1 (20%) | 4 (80%) | 1 (20%) | ||||
| Location of practice | 0.60 | 0.64 | 0.92 | 0.39 | ||||||
| United States | 0 (− 9 to 15) | − 10 (− 27 to 12) | 15 (68%) | 7 (32%) | 13 (59%) | 9 (41%) | ||||
| Europe | 12 (− 1 to 33) | 0 (− 24 to 21) | 19 (73%) | 7 (27%) | 20 (77%) | 6 (23%) | ||||
| Other | 0 (− 16 to 25) | − 2 (− 20 to 30) | 16 (73%) | 6 (27%) | 14 (64%) | 8 (36%) | ||||
| Years in practice | 0.43 | 0.35 | 0.25 | 0.42 | ||||||
| 0–5 | 13 (− 6 to 23) | 7 (− 11 to 23) | 11 (69%) | 5 (31%) | 11 (69%) | 5 (31%) | ||||
| 6–10 | 0 (− 21 to 24) | 0 (− 26 to 16) | 13 (93%) | 1 (7%) | 8 (57%) | 6 (43%) | ||||
| 11–20 | 0 (− 15 to 17) | − 2 (− 27 to 34) | 14 (67%) | 7 (33%) | 10 (48%) | 11 (52%) | ||||
| 21–30 | 0 (− 1 to 47) | − 16 (− 37 to 12) | 12 (63%) | 7 (37%) | 8 (42%) | 11 (58%) | ||||
| Supervising trainees | 0.49 | 0.94 | > 0.99 | > 0.99 | ||||||
| Yes | 2 (− 10 to 31) | 0 (− 29 to 21) | 46 (72%) | 18 (28%) | 34 (53%) | 30 (47%) | ||||
| No | 0 (− 9 to 11) | − 7 (− 13 to 0) | 4 (67%) | 2 (33%) | 3 (50%) | 3 (50%) | ||||
| Currently have young children | 0.26 | 0.41 | 0.59 | |||||||
| Yes | 0 (− 14 to 22) | 13 (− 10 to 26) | 19 (79%) | 5 (21%) | 15 (63%) | 9 (37%) | ||||
| No | 2 (− 6 to 39) | − 11 (− 34 to 12) | 31 (67%) | 15 (33%) | 32 (70%) | 14 (30%) | ||||
| Preference for remote meetings | 0.13 | 0.54 | 0.095 | > 0.99 | ||||||
| Yes | − 4 (− 23 to 12) | − 2 (− 13 to 30) | 8 (100%) | 0 | 6 (75%) | 2 (25%) | ||||
| No | 7 (− 7 to 33) | 0 (− 27 to 20) | 42 (67%) | 20 (33%) | 41 (66%) | 21 (34%) | ||||
Continuous variables as median [interquartile range (IQR)]
Agreement: − 50 = completely disagree, to 0 = neutral, to 50 = completely agree
Comfort level: − 50 = uncomfortable, to 50 = comfortable
Difficulty: − 50 = very difficult, to 50 = very easy
Bold indicates statistical significance, P < 0.05