| Literature DB >> 34315576 |
Toni Beninato1, Amanda M Laird2, Claire E Graves3, F Thurston Drake4, Amal Alhefdhi5, James A Lee6, Jennifer H Kuo7, Elizabeth G Grubbs8, Tracy S Wang9, Janice L Pasieka10, Carrie C Lubitz11.
Abstract
BACKGROUND: This study investigates the impact of the COVID-19 pandemic on endocrine surgeons.Entities:
Keywords: COVID-19; Compensation; Endocrine surgery; Survey; Telemedicine; Thyroid surgery
Mesh:
Year: 2021 PMID: 34315576 PMCID: PMC8294714 DOI: 10.1016/j.amjsurg.2021.07.009
Source DB: PubMed Journal: Am J Surg ISSN: 0002-9610 Impact factor: 2.565
Demographics of survey participants.
| Survey Participants (n = 77) | |
|---|---|
| Age (years) | |
| 31-40 | 22 (28.6 %) |
| 41-50 | 29 (37.7 %) |
| 51-60 | 15 (19.5 %) |
| 61-70 | 10 (13.0 %) |
| >70 | 1 (1.3 %) |
| Gender | |
| Male | 43 (55.8 %) |
| Female | 33 (42.9 %) |
| Nonbinary | 1 (1.3 %) |
| Primary Specialty | |
| Endocrine Surgery | 66 (85.7 %) |
| General Surgery | 6 (7.8 %) |
| Surgical Oncology | 3 (3.9 %) |
| Breast and Endocrine Surgery | 2 (2.6 %) |
| ENT | 0 (0.0 %) |
| Years in Practice | |
| <5 | 17 (22.1 %) |
| 6-10 | 18 (23.4 %) |
| 11-20 | 23 (29.9 %) |
| 21-30 | 11 (14.3 %) |
| >30 | 8 (10.4 %) |
| Practice Setting | |
| Academic | 63 (81.8 %) |
| Teaching Hospital | 7 (9.1 %) |
| Community Hospital | 7 (9.1 %) |
| Government-sponsored facility | 4 (5.2 %) |
| Private Practice | 9 (11.7 %) |
| Number of Surgeons in Practice | |
| 1 | 3 (3.9 %) |
| 2 | 11 (14.3 %) |
| 3 | 21 (27.3 %) |
| 4 | 16 (20.8 %) |
| 5 | 8 (10.4 %) |
| >5 | 18 (23.4 %) |
| Percent of Practice Endocrine Surgery | |
| 1–25 % | 4 (5.2 %) |
| 26–50 % | 9 (11.7 %) |
| 51–75 % | 15 (19.5 %) |
| 76–100 % | 49 (63.6 %) |
| Location of Practice | |
| USA | 59 (76.6 %) |
| Canada | 4 (5.2 %) |
| Mexico | 3 (3.9 %) |
| South America | 2 (2.6 %) |
| Europe | 7 (9.1 %) |
| Asia | 1 (1.3 %) |
| Other | 1 (1.3 %) |
| Region of USA (n = 59) | |
| Northeast | 13 (22.0 %) |
| Southeast | 11 (18.6 %) |
| Midwest | 17 (28.8 %) |
| Southwest | 9 (15.3 %) |
| West | 9 (15.3 %) |
| Practice Environment | |
| Metropolitan | 59 (76.6 %) |
| Suburban | 16 (20.8 %) |
| Rural | 2 (2.6 %) |
Impact of COVID-19 on practice volume, compensation, and staff.
| Survey Participants (n = 77) | |
|---|---|
| Elective Surgeries Suspended | |
| Yes | 77 (100 %) |
| No | 0 (0 %) |
| Urgent Procedures Continued (n = 75) | |
| Yes | 67 (89.3 %) |
| No | 8 (10.7 %) |
| Reassignment Outside Routine Practice | |
| None | 48 (62.3 %) |
| General Surgery Call | 20 (26.0 %) |
| Ancillary Service for COVID patients | 11 (14.3 %) |
| Trauma Surgery Call | 5 (6.5 %) |
| Medicine/Pulmonary Service | 5 (6.5 %) |
| Critical Care Unit | 3 (3.9 %) |
| Other | 2 (2.6 %) |
| Median backlog of operations (IQR) | 30 (15–50) |
| Strategies to Schedule Backlog | |
| Normal Block Time | 60 (90.9 %) |
| Extended Hours | 19 (28.8 %) |
| Additional Facility | 7 (10.6 %) |
| Weekends | 5 (7.6 %) |
| Other | 4 (6.1 %) |
| Impact on Compensation | |
| Yes | 54 (70.1 %) |
| No | 23 (29.9 %) |
| How Compensation Impacted (n = 54) | |
| Volume-based revenue | 32 (59.3 %) |
| Base Salary | 19 (35.2 %) |
| Academic Funds | 18 (33.3 %) |
| Retirement Benefits/Contributions | 16 (29.6 %) |
| Research Funds | 4 (7.4 %) |
| Other | 3 (5.6 %) |
| Percent income decline (n = 45) | |
| 0–25 % | 33 (73.3 %) |
| 26–50 % | 8 (17.8 %) |
| 51–75 % | 4 (8.9 %) |
| 76–100 % | 0 (0.0 %) |
| Volume of Practice Changed (n = 71) | |
| Yes | 53 (74.6 %) |
| No | 18 (25.4 %) |
| Reasons for volume change (n = 53) | |
| Patient preference to delay care | 41 (77.4 %) |
| Fewer referrals | 36 (67.9 %) |
| Greater use of telemedicine | 29 (54.7 %) |
| Fewer patients scheduled for social distancing | 25 (47.2 %) |
| Outsourcing of office procedures | 3 (5.7 %) |
| Increased volume | 5 (9.4 %) |
| Other | 3 (5.7 %) |
| Change in on-site administrative staff | |
| Yes | 67 (87.0 %) |
| No | 10 (13.0 %) |
| How did administrative staff change | |
| Staff were furloughed/laid off | 27 (40.3 %) |
| Work entirely remotely | 27 (40.3 %) |
| Part time remote | 45 (67.2 %) |
| Work with Research staff | |
| Yes | 31 (40.3 %) |
| No | 46 (59.7 %) |
| Change in presence of Research staff (n = 31) | |
| Yes | 26 (83.9 %) |
| No | 5 (16.1 %) |
| How did research staff change (n = 26) | |
| Staff were furloughed/laid off | 5 (19.2 %) |
| Work entirely remotely | 13 (50 %) |
| Part time remote | 15 (57.7 %) |
Exposure to trainees in various settings pre- and post-COVID.
| Never | Rarely | Sometimes | Often | Always | P value | |
|---|---|---|---|---|---|---|
| Office/clinic | ||||||
| Pre-COVID | 2 (3.2 %) | 7 (11.1 %) | 16 (25.4 %) | 11 (17.5 %) | 27 (42.9 %) | |
| Post-COVID | 7 (11.9 %) | 13 (22.0 %) | 10 (16.9 %) | 9 (15.3 %) | 20 (33.9 %) | <0.001 |
| OR | ||||||
| Pre-COVID | 0 (0 %) | 0 (0 %) | 0 (0 %) | 16 (25.4 %) | 47 (74.6 %) | |
| Post-COVID | 0 (0 %) | 0 (0 %) | 3 (5.2 %) | 13 (22.4 %) | 42 (72.4 %) | 0.103 |
| In person Didactic | ||||||
| Pre-COVID | 2 (3.2 %) | 4 (6.3 %) | 8 (12.7 %) | 22 (34.9 %) | 27 (42.9 %) | |
| Post-COVID | 17 (28.8 %) | 18 (30.5 %) | 9 (15.3 %) | 7 (11.9 %) | 8 (13.6 %) | <0.001 |
| Virtual Didactic | ||||||
| Pre-COVID | 40 (63.5 %) | 13 (20.6 %) | 3 (4.8 %) | 4 (6.3 %) | 3 (4.8 %) | |
| Post-COVID | 7 (12.1 %) | 4 (6.9 %) | 9 (15.5 %) | 23 (39.7 %) | 15 (25.9 %) | <0.001 |
Fig. 1Telemedicine use pre- and post- COVID among survey respondents.
Practice Patterns pre- and post- COVID.
| Never | Rarely | Sometimes | Often | Always | P value | |
|---|---|---|---|---|---|---|
| Ultrasound | ||||||
| Pre-COVID | 9 (12.3 %) | 12 (16.4 %) | 5 (6.8 %) | 18 (24.7 %) | 29 (39.7 %) | |
| Post-COVID | 16 (22.5 %) | 10 (14.1 %) | 10 (14.1 %) | 16 (22.5 %) | 19 (26.8 %) | <0.001 |
| FNA | ||||||
| Pre-COVID | 24 (32.9 %) | 11 (15.1 %) | 9 (12.3 %) | 11 (15.1 %) | 18 (24.7 %) | |
| Post-COVID | 33 (46.5 %) | 5 (7.0 %) | 13 (18.3 %) | 6 (8.5 %) | 14 (19.7 %) | <0.001 |
| Laryngoscopy | ||||||
| Pre-COVID | 38 (52.1 %) | 10 (13.7 %) | 14 (19.2 %) | 6 (8.2 %) | 5 (6.8 %) | |
| Post-COVID | 44 (62.9 %) | 11 (15.7 %) | 9 (12.9 %) | 4 (5.7 %) | 2 (2.9 %) | <0.001 |
| Obs PTMC | ||||||
| Pre-COVID | 20 (27.4 %) | 23 (31.5 %) | 17 (23.3 %) | 10 (13.7 %) | 3 (4.1 %) | |
| Post-COVID | 16 (23.2 %) | 23 (33.3 %) | 15 (21.7 %) | 14 (20.3 %) | 1 (1.4 %) | 0.199 |
| Same day TL | ||||||
| Pre-COVID | 13 (17.8 %) | 7 (9.6 %) | 8 (11.0 %) | 18 (24.7 %) | 27 (37.0 %) | |
| Post-COVID | 14 (19.7 %) | 5 (7.0 %) | 6 (8.5 %) | 19 (26.8 %) | 27 (38.0 %) | 0.708 |
| Same day TT | ||||||
| Pre-COVID | 32 (44.4 %) | 9 (12.5 %) | 5 (6.9 %) | 11 (15.3 %) | 15 (20.8 %) | |
| Post-COVID | 28 (39.4 %) | 9 (12.7 %) | 7 (9.9 %) | 11 (15.5 %) | 16 (22.5 %) | 0.047 |
| Same day PT | ||||||
| Pre-COVID | 13 (17.8 %) | 5 (6.8 %) | 8 (11.0 %) | 22 (30.1 %) | 25 (34.2 %) | |
| Post-COVID | 13 (18.3 %) | 3 (4.2 %) | 7 (9.9 %) | 22 (31.0 %) | 26 (36.6 %) | 0.483 |
| Same day AD | ||||||
| Pre-COVID | 53 (73.6 %) | 11 (15.3 %) | 2 (2.8 %) | 4 (5.6 %) | 2 (2.8 %) | |
| Post-COVID | 52 (74.3 %) | 11 (15.7 %) | 1 (1.4 %) | 3 (4.3 %) | 3 (4.3 %) | 0.536 |
Obs – observation.
PTMC – papillary thyroid microcarcinoma.
TL – thyroid lobectomy.
TT – total thyroidectomy.
PT – parathyroidectomy.
AD - adrenalectomy.