| Literature DB >> 32882345 |
Sherene Shalhub1, Nicolas J Mouawad2, Rafael D Malgor3, Adam P Johnson4, Max V Wohlauer3, Sheila M Coogan5, Katherine A Loveland6, Robert F Cuff7, Claudia Leonardi8, Dawn M Coleman9, Malachi G Sheahan10, Karen Woo11.
Abstract
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to unprecedented challenges for health care systems globally. We designed and administered a global survey to examine the effects of COVID-19 on vascular surgeons and explore the COVID-19-related stressors faced, coping strategies used, and support structures available.Entities:
Keywords: Brief COPE Survey; COVID-19; Coping strategies; Financial stress; GAD-7 scale; Personal protective equipment
Year: 2020 PMID: 32882345 PMCID: PMC7457940 DOI: 10.1016/j.jvs.2020.08.030
Source DB: PubMed Journal: J Vasc Surg ISSN: 0741-5214 Impact factor: 4.268
Multimodal survey dissemination, potential audience, and estimated response rate
| Organization | Date of dissemination | Potential audience |
|---|---|---|
| Society for Vascular Surgery and affiliated organizations | ||
| Society for Vascular Surgery e-mail list | April 14, 2020 | 3528 |
| Association of Program Directors in Vascular Surgery e-mail list | April 15, 2020 | 223 |
| Current number of U.S. vascular surgery trainees | 638 | |
| SVS Connect | April 17, 2020 | 1203 |
| Vascular Specialist Magazine | April 16, 2020 | 399 |
| Other outreach platforms | ||
| Vascular Surgeons COVID-19 WhatsApp | April 14, 2020 | 256 |
| Vascular Low Frequency Disease Consortium mailing | April 15, 2020 | 30 |
| Brazilian Society of Angiology and Vascular Surgery | April 15, 2020 | 3500 |
| Veterans Affairs vascular surgeons | April 15, 2020 | 97 |
| Social media outreach | ||
| Vascular SVS: @VascularSVS | April 16, 2020 | 5913 |
| Vascular Specialist Online: @VascularOnline | April 16, 2020 | 351 |
| Audible bleeding: @Audiblebleeding | April 16, 2020 | 985 |
| CanadianSVS Twitter: @CanadianSVS | April 18, 2020 | 684 |
| GermanVasc: @VASCevidence | April 18, 2020 | 440 |
COVID-19, Coronavirus disease 2019; SVS, Society for Vascular Surgery.
On April 14, 2020, e-mail letters were sent to 3528 recipients; 3525 were received (3 bounced). Of those received, 1866 were opened (52.9%), and 381 had accessed the survey directly from the e-mail link. On April 23, 2020, a reminder e-mail was sent to the same list. Of these, 1263 were opened (35.8%), and 134 accessed the survey directly from the e-mail, suggesting that 515 respondents had been reached via the SVS e-mail list, and accounting for ∼16.5% if all e-mail letters opened.
The current number of vascular surgery trainees in the United States is 638; therefore, the response rate was 23% (145 of 638).
Available at: https://vascularspecialistonline.com/svs-needs-assessment-survey-evaluating-impact-of-covid-19-on-vascular-surgery/.
Supplementary Fig 1 (online only)Map showing the geographic distribution of the 1609 survey respondents across the world.
Characteristics of survey respondents (N = 1609)
| Characteristic | No. (%) |
|---|---|
| Practice duration | |
| In training | 236 (14.7) |
| In practice <10 years | 549 (34.1) |
| In practice 10-20 years | 412 (25.6) |
| In practice >20 years | 412 (25.6) |
| Gender | |
| Male | 1134 (70.5) |
| Female | 461 (28.6) |
| Primary practice (n = 1373) | |
| Academic | 469 (34.1) |
| Veterans Affairs or government run | 61 (4.4) |
| Multispecialty clinic | 380 (27.6) |
| Community | 258 (18.7) |
| Solo | 125 (9.1) |
| Outpatient practice only | 80 (5.8) |
| Type of hospital (n = 1114) | |
| Urban teaching | 756 (67.9) |
| Urban nonteaching | 283 (25.4) |
| Rural teaching | 40 (3.6) |
| Rural nonteaching | 35 (3.1) |
| Size of hospital (n = 1278) | |
| <50 beds | 32 (2.5) |
| 50-99 beds | 62 (4.9) |
| 100-200 beds | 168 (13.1) |
| 201-300 beds | 202 (15.8) |
| 301-400 beds | 173 (13.5) |
| >400 beds | 619 (48.4) |
| Do not know | 22 (1.7) |
| Institutional leadership (n = 1257) | 656 (52.2) |
| Practice at >1 hospital (n = 1087) | 740 (68.1) |
| Completed the GAD-7 scale | 1518 (94.3) |
| Completed the Brief-COPE inventory | 1366 (84.9) |
Brief-COPE, Brief Coping Orientation to Problems Experienced; GAD-7, Generalized Anxiety Disorder 7 item.
Gender noted as “prefer not to say” in 14 responses.
Overlap between Veterans Affairs and academic appointments led to lower than expected numbers in this category.
Supplementary Fig 2 (online only)Bar graph showing the responses to the Generalized Anxiety Disorder 7-item scale (n = 1518).
Supplementary Fig 3 (online only)Bar graph showing the number of respondents for each Generalized Anxiety Disorder 7-item scale scores and the interpretation of the scores as degrees of anxiety (no, mild, moderate, and severe anxiety).
Pearson χ2 analysis of factors associated with differences in self-reported anxiety degreea
| Factor | Degree of Anxiety, No. (% within each degree) | ||||
|---|---|---|---|---|---|
| No | Mild | Moderate | Severe | ||
| Gender | <.001 | ||||
| Male | 555 (52.1) | 299 (28.1) | 131 (12.3) | 80 (7.5) | |
| Female | 130 (29.5) | 172 (39.1) | 89 (20.2) | 49 (11.1) | |
| Practice duration (n = 1518) | <.001 | ||||
| In training | 94 (13.6) | 82 (17.3) | 29 (13) | 18 (13.7) | |
| In practice <10 years | 197 (28.5) | 170 (35.9) | 104 (46.6) | 44 (33.6) | |
| In practice 10-20 years | 185 (26.8) | 115 (24.3) | 51 (22.9) | 38 (29) | |
| In practice >20 years | 215 (31.1) | 106 (22.4) | 39 (17.5) | 31 (23.7) | |
| Leadership position (n = 1250) | .017 | ||||
| In a leadership position | 326 (50.1) | 182 (28) | 85 (13.1) | 58 (8.9) | |
| Not in a leadership position | 252 (42.1) | 193 (32.2) | 104 (17.4) | 50 (8.3) | |
| Elective cases (n = 1303) | .583 | ||||
| Cancelled | 516 (45.1) | 356 (31.1) | 163 (14.3) | 108 (9.4) | |
| Not cancelled | 81 (50.6) | 47 (29.4) | 20 (12.5) | 12 (7.5) | |
| ICU beds available (n = 1234) | .125 | ||||
| Available | 493 (47.4) | 315 (30.3) | 139 (13.4) | 92 (8.9) | |
| Not available | 75 (38.5) | 69 (35.4) | 33 (16.9) | 18 (9.2) | |
| Operated/placed a central catheter for a patient with COVID-19 infection (n = 1518) | .296 | ||||
| Yes | 475 (42.2) | 367 (32.6) | 175 (15.6) | 108 (9.6) | |
| No | 138 (63.9) | 48 (22.2) | 15 (6.9) | 15 (6.9) | |
| Considered at “high” risk of COVID-19 infection (n = 1514) | .003 | ||||
| Yes | 228 (39) | 199 (34) | 99 (16.9) | 59 (10.1) | |
| No | 462 (49.7) | 272 (29.3) | 123 (13.2) | 72 (7.8) | |
| Stressor | |||||
| Lack of PPE (n = 1150) | <.001 | ||||
| Stressful | 364 (40.2) | 307 (33.9) | 137 (15.1) | 97 (10.7) | |
| Not stressful at all | 166 (67.8) | 53 (21.6) | 20 (8.2) | 6 (2.4) | |
| Donning/doffing PPE (n = 1290) | <.001 | ||||
| Stressful | 345 (37.2) | 318 (34.3) | 156 (16.8) | 108 (11.7) | |
| Not stressful at all | 243 (66.9) | 81 (22.3) | 27 (7.4) | 12 (3.3) | |
| Potential adverse patient outcomes due to care delay (n = 1314) | <.001 | ||||
| Stressful | 496 (42.7) | 375 (32.3) | 176 (15.2) | 114 (9.8) | |
| Not stressful at all | 104 (68) | 32 (20.9) | 8 (5.2) | 9 (5.9) | |
| Financial concerns (n = 1314) | <.001 | ||||
| Stressful | 459 (41.8) | 353 (32.1) | 169 (15.4) | 117 (10.7) | |
| Not stressful | 140 (64.8) | 54 (25) | 17 (7.9) | 5 (2.3) | |
| Terminating contracts of some employees (n = 831) | <.001 | ||||
| Stressful | 167 (35.7) | 167 (35.7) | 87 (18.6) | 47 (10) | |
| Not stressful | 204 (56.2) | 98 (27) | 33 (9.1) | 28 (7.7) | |
| Impact of this hiatus on my career advancement (n = 1143) | <.001 | ||||
| Stressful | 258 (35.3) | 254 (34.8) | 134 (18.4) | 84 (11.5) | |
| Not stressful | 255 (61.7) | 105 (25.4) | 33 (8) | 20 (4.8) | |
COVID-19, Coronavirus disease 2019; ICU, intensive care unit; PPE, personal protective equipment.
Defined as no, mild, moderate, and severe anxiety.
Represents the significance of the difference in the degree of anxiety when comparing each set of factors.
Supplementary Fig 4 (online only)Bar graph showing the degree of self-reported anxiety (no, mild, moderate, and severe anxiety) associated with coronavirus disease 2019-related modifications of home routine after work (n = 1518). The difference in self-reported anxiety degree was statistically significant (P < .001).
Fig 1Magnitude of stress reported by vascular surgeons toward occupational and personal coronavirus disease 2019-related stressors. PPE, Personal protective equipment.
Supplementary Fig 5 (online only)The degree of stress associated with coronavirus disease 2019-related financial concerns by vascular surgeons (n = 1314). The difference in self-reported stress level was statistically significant by type of practice (P < .001).
Fig 2Coping strategies used by vascular surgeons in practice and training (n = 1366) as measured using the Brief Coping Orientation to Problems Experienced inventory.
Fig 3Most hospital support structures were associated with a reduction in self-reported anxiety levels among vascular surgeons as measured using the Generalized Anxiety Disorder 7-item scale while virtual social media based support platforms association to anxiety levels was mixed. COVID-19, Coronavirus disease 2019; PPE, personal protective equipment; SVS, Society for Vascular Surgery.
Univariable and multivariable ordinal logistic regressiona
| Variable | Univariable | Multivariable | ||
|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | |||
| Gender | 2.20 (1.79-2.71) | <.001 | 1.39 (1.08-1.79) | .010 |
| COVID-19-related modifications of home routine | 1.75 (1.50-2.05) | <.001 | 1.38 (1.14-1.67) | .001 |
| COVID-19-related stressors | ||||
| Donning/doffing PPE | 3.87 (3.10-4.84) | <.001 | 1.81 (1.41-2.33) | <.001 |
| Worry about potential adverse patient outcomes due care delay | 2.68 (2.18-3.31) | <.001 | 1.47 (1.16-1.87) | .002 |
| Financial concerns | 3.13 (2.54-3.85) | <.001 | 1.90 (1.49-2.42) | <.001 |
| Summative hospital support | 0.84 (0.78-0.89) | <.001 | 0.83 (0.76-0.91) | .001 |
| Active coping strategies | ||||
| Use of emotional support | 1.41 (1.33-1.50) | <.001 | 1.09 (1.01-1.18) | .028 |
| Positive reframing | 1.16 (1.10-1.23) | <.001 | 0.88 (0.81-0.95) | .001 |
| Planning | 1.37 (1.29-1.45) | <.001 | 1.12 (1.03-1.21) | .008 |
| Avoidant coping strategies | ||||
| Self-distraction | 1.66 (1.55-1.78) | <.001 | 1.32 (1.21-1.43) | <.001 |
| Substance abuse | 1.53 (1.43-1.65) | <.001 | 1.16 (1.06-1.27) | .001 |
| Behavioral disengagement | 1.77 (1.63-1.93) | <.001 | 1.26 (1.14-1.39) | <.001 |
| Venting | 2.17 (1.99-2.37) | <.001 | 1.42 (1.28-1.59) | <.001 |
| Self-blame | 2.12 (1.93-2.32) | <.001 | 1.35 (1.21-1.51) | <.001 |
CI, Confidence interval; COVID-19, coronavirus disease 2019; OR, odds ratio; PPE, personal protective equipment.
A proportional odds cumulative logit model was used of factors associated with an increasing degree of self-reported anxiety (no, mild, moderate, and severe anxiety) by 1259 respondents who had completed the Generalized Anxiety Disorder 7-item survey. The model was built in two steps. First, all factors significant on univariable analysis (also listed in Supplementary Table II and Supplementary Fig 2 (online only), Supplementary Fig 3 (online only), Supplementary Fig 4 (online only), Supplementary Fig 5 (online only)) were considered for entry into the model using a stepwise selection process (with the exception of the active and avoidant coping strategies from the Brief Coping Orientation to Problems Experienced survey). Second, the variables selected in the first step were retained, and the active and avoidant coping strategies were included in a stepwise selection process.
Summative hospital support was created as a sum of the significant individual hospital support variables, including “operating room protocols,” “adequate personal protective equipment,” “preoperative testing of patients,” and “opportunities to interact with leadership,” because they all correlated. “Transparency from leadership about COVID-19 management and planning” was not included because the responses were nearly identical to those for “opportunities to interact with leadership.”
The three broad themes identified in the qualitative analysis of the free text responses
| Theme 1: worry and concern for others |
| Patients |
| “A big concern for me is the indefinite postponement of semi-elective procedures, such as fistulas or revascularization for stable nonhealing wounds/very short distance claudication.” |
| “Many primary care docs have closed entirely, making access to care more difficult for patients.” |
| “I continue to be concerned about the response to COVID patients, specifically the impacts on racial and ethnic minority patients affected by this virus.” |
| “Patients will die from MI, CVA, ruptured aneurysm, aortic valve stenosis, etc. because they are too afraid to come to the hospital.” |
| “There is concern for capability to service the pent up demand created by the delay in vascular care” |
| Family, friends, and colleagues |
| “Upsetting to follow from afar close friends and colleagues being inundated and at risk and little we can do to help. Feel very distant and helpless with family, aging parents across the country and banned from visiting, helping.” |
| “The nurses and ancillary staff taking care of these patients are the truly exceptional people in this pandemic. They often have limited resources and have the most intimate contact with these patients and serve as the primary sources of information for multiple people including physicians and patient families.” |
| Trainees |
| “We have decreased their time physically in the hospital to limit exposure but I don't think they are actually using their time away to read or better themselves from a surgeon standpoint. I worry that a lot of them will fall behind and that they won't get their required numbers.” |
| “Worried about graduating experience given complete stoppage of elective vascular cases.” |
| Theme 2: stress associated with uncertainty |
| Disease process |
| “The big challenge is that a number of patients may be positive and yet be asymptomatic or low symptoms, making it difficult to know. Clearly until we have vigorous testing, we are all in the dark.” |
| “The constant stress to know that many patients could be asymptomatic COVID-19 carriers” |
| “I am disturbed by the lack of PPE, the expectation that providers work without adequate PPE.” |
| Future |
| “The unknown is the worst part. The unknown of how long this is going to be affecting my practice, affecting our lives.” |
| “I'm aware that this is a long term condition, and we have to adapt to it. PPE is going to be there for at least 2 years or even more. We should learn to work and live with it.” |
| Lack of guidelines that account for variation in disease severity |
| “Need guidelines for small office practice where risks are extremely low (one patient in office at a time). Currently restrictions are overkill in this setting.” |
| “The outbreak is local and regional and different institutions have different readiness, etc. and are able to be more flexible in not forgetting about the rest of the population needing health care.” |
| “The need for testing for COVID or not changes every day. The way to manage the OR patient is very dependent on the level of stress of the anesthesia team and nursing. No clear guidelines… . We should manage things locally and not nationally [be] cause every community has [a] different reality.” |
| Theme 3: financial stress |
| “I fear for the ability of our private practice to endure through this financially. I personally won't have the financial means to carry myself for any extended amount of time in order to carry the practice.” |
| “Our large academic hospital-owned physician group announced likelihood of salary cuts starting end April. So more stress, insult to injury, and bad news to come.” |
| “Last month (March) I took a 40% pay cut. This month I am not getting any salary but still working as a vascular surgeon. We furloughed more than half our office staff including US techs and nurses in our OBL… . The exposures to COVID-19 from placing lines continues but it doesn't pay the bills.” |
| “I don't know how long I can keep going without operating. I was just starting to build a practice in my area and I worry that this is going to be a big setback for practice development.” |
OBL, Office-based laboratory; COVID-19, coronavirus disease 2019; CVA, cerebrovascular accident; OR, operative room; PPE, personal protective equipment; techs, technicians; US, ultrasonography.