| Literature DB >> 34304208 |
Sreeni Edakhlon1, Prashob Mohan2, Gopal S Pillai3, Lalit Verma4, Santosh G Honavar5, Namrata Sharma6, Ambily Nadaraj3.
Abstract
Purpose: To evaluate the impact of COVID-19 pandemic on the income and surgical training opportunities among the ophthalmologists in India and their opinion on salary reduction during this period.Entities:
Keywords: COVID-19 pandemic; doctor; salary; surgical training; woman ophthalmologist
Mesh:
Year: 2021 PMID: 34304208 PMCID: PMC8482938 DOI: 10.4103/ijo.IJO_1491_21
Source DB: PubMed Journal: Indian J Ophthalmol ISSN: 0301-4738 Impact factor: 1.848
Salary reduced during the pandemic
| Yes, | No, | Not Applicable, |
| |
|---|---|---|---|---|
| 1a. Overall | ||||
| Overall | 569 (53.8) | 334 (31.6) | 154 (4.6) | |
| 1b. Gender distribution | ||||
| Male | 265 (53.2) | 137 (27.5) | 96 (19.3) | <0.001 |
| Female | 304 (54.4) | 197 (35.2) | 58 (10.4) | |
| 1c. Age distribution | ||||
| <40 years of age | 407 (55.8) | 252 (34.5) | 71 (9.7) | <0.001 |
| 41-65 years of age | 153 (50.7) | 78 (25.8) | 71 (23.5) | |
| > 65 years of age | 9 (36.0) | 4 (16.0) | 12 (48.0) | |
| 1d. Qualification | ||||
| DNB | 178 (62.9) | 75 (26.5) | 30 (10.6) | 0.004 |
| DO | 64 (57.1) | 33 (29.5) | 15 (13.4) | |
| MS/MD | 327 (49.4) | 226 (34.1) | 109 (16.5) | |
| 1e. Type of practice | ||||
| Government employee | 29 (16.3) | 135 (75.8) | 14 (7.9) | <0.001 |
| Private sector employee | 457 (67.0) | 180 (26.4) | 45 (6.6) | |
| Own practice | 78 (41.5) | 16 (8.5) | 94 (50.0) | |
| Work abroad | 5 (55.6) | 3 (33.3) | 1 (11.1) | |
| 1f. Subspecialization | ||||
| With subspecialization | 366 (57.9) | 166 (26.3) | 100 (15.8) | |
| No subspecialization | 203 (47.8) | 168 (39.5) | 54 (12.7) | <0.001 |
| 1g. Location | ||||
| Metro cities | 253 (57.1) | 126 (28.4) | 64 (14.4) | 0.184 |
| Nonmetro locations | 316 (52.1) | 204 (33.6) | 87 (14.3) |
Figure 1Effect of the pandemic on ophthalmologists in India
Figure 2Salary reduction during the pandemic across sexes and age groups
Figure 3Salary reduction and current practice
Opinion regarding reduction of salary during the pandemic
| Fair, | Unfair, | Not Sure, |
| |
|---|---|---|---|---|
| 2a. Overall | ||||
| Overall | 154 (14.6) | 768 (72.7) | 135 (2.8) | |
| 2b. Gender distribution | ||||
| Male | 111 (22.3) | 330 (66.3) | 57 (11.4) | <0.001 |
| Female | 43 (7.7) | 438 (78.4) | 78 (14.0) | |
| 2c. Age distribution | ||||
| <40 years | 85 (11.6) | 565 (77.4) | 80 (11.0) | <0.001 |
| 41-65 years | 66 (21.9) | 188 (62.3) | 48 (15.9) | |
| > 65 years | 3 (12.0) | 15 (60.0) | 7 (28.0) | |
| 2d. Qualification | ||||
| DNB | 178 (62.9) | 75 (26.5) | 30 (10.6) | 0.004 |
| DO | 64 (57.1) | 33 (29.5) | 15 (13.4) | |
| MS/MD | 327 (49.4) | 226 (34.1) | 109 (6.5) | |
| 2e. Type of practice | ||||
| Government employee | 10 (5.6) | 157 (88.2) | 11 (6.2) | <0.001 |
| Private sector employee | 83 (12.2) | 502 (73.6) | 97 (14.2) | |
| Own practice | 60 (31.9) | 101 (53.7) | 27 (14.4) | |
| Work abroad | 1 (11.1) | 8 (88.9) | 0 (0) | |
| 2f. Subspecialization | ||||
| With subspecialization | 112 (17.7) | 432 (68.4) | 88 (13.9) | <0.001 |
| No subspecialization | 42 (9.9) | 336 (79.1) | 47 (11.1) | |
| 2g. Location | ||||
| Metro cities | 66 (14.9) | 322 (72.7) | 55 (12.4) | 0.928 |
| Nonmetro locations | 88 (14.5) | 439 (72.3) | 80 (13.2) |
Figure 4Opinion regarding reduction of salary across sexes and age groups
Figure 5Opinion regarding salary reduction and current practice
Loss of surgical training opportunities during the pandemic
| Yes, | No, | Not Applicable, |
| |
|---|---|---|---|---|
| 3a. Overall | ||||
| Overall | 689 (65.2) | 103 (9.7) | 265 (5.1) | |
| 3b. Gender distribution | ||||
| Male | 274 (55.0) | 63 (12.7) | 161 (32.3) | <0.001 |
| Female | 415 (74.2) | 40 (7.2) | 104 (8.6) | |
| 3c. Age distribution | ||||
| <40 years | 565 (77.4) | 62 (8.5) | 103 (14.1) | <0.001 |
| 41-65 years | 112 (37.1) | 39 (12.9) | 151 (50.0) | |
| > 65 years | 12 (48.0) | 2 (8.0) | 11 (44.0) | |
| 3d. Qualification | ||||
| DNB | 176 (62.2) | 29 (10.2) | 78 (27.6) | 0.746 |
| DO | 75 (67.0) | 9 (8.0) | 28 (25.0) | |
| MS/MD | 438 (66.2) | 65 (9.8) | 159 (4.0) | |
| 3e. Type of practice | ||||
| Government employee | 147 (82.6) | 10 (5.6) | 21 (11.8) | <0.001 |
| Private sector employee | 455 (66.7) | 72 (10.6) | 155 (22.7) | |
| Own practice | 82 (43.6) | 19 (10.1) | 87 (46.3) | |
| Work abroad | 5 (55.6) | 2 (22.2) | 1 (22.2) | |
| 3f. Subspecialization | ||||
| With subspecialization | 357 (56.5) | 86 (13.6) | 189 (29.9) | <0.001 |
| Without subspecialization | 332 (78.1) | 17 (4.0) | 76 (17.9) | |
| 3g. Location of practice | ||||
| Metro cities | 295 (66.6) | 43 (9.7) | 105 (23.7) | 0.703 |
| Nonmetro locations | 390 (64.3) | 60 (9.9) | 157 (25.9) |
Figure 6Loss of surgical training opportunities across sexes and age groups
Figure 7Loss of surgical training opportunities and current practice