| Literature DB >> 32677575 |
Philip K Louie1, Garrett K Harada2, Michael H McCarthy1, Niccole Germscheid3, Jason P Y Cheung4, Marko H Neva5, Mohammad El-Sharkawi6, Marcelo Valacco7, Daniel M Sciubba8, Norman B Chutkan9, Howard S An2, Dino Samartzis2.
Abstract
STUDYEntities:
Keywords: COVID-19; coronavirus; global; impact; spine surgeons; worldwide
Year: 2020 PMID: 32677575 PMCID: PMC7359680 DOI: 10.1177/2192568220925783
Source DB: PubMed Journal: Global Spine J ISSN: 2192-5682
Figure 1.Distribution of survey responses by geographic region; world map depicting number of survey responses received internationally. Color-filled countries indicate that at least 1 survey was received from that geographic region. Red, <50 surveys received; green, 51 to 100; yellow, 101 to 150; orange, 151 to 200; blue, >200; gray, no surveys received.
Survey Respondent Demographics.
| Personal Demographics | Practice Demographics | ||||
|---|---|---|---|---|---|
| na | Percentage | na | Percentage | ||
| Age (years) | Specialty | ||||
| 25-34 | 130 | 14.5 | Orthopaedics | 637 | 70.6 |
| 35-44 | 344 | 38.4 | Neurosurgery | 246 | 27.3 |
| 45-54 | 245 | 27.4 | Trauma | 104 | 11.5 |
| 55-64 | 150 | 16.8 | Pediatric Surgery | 17 | 1.9 |
| 65+ | 26 | 2.9 | Other | 35 | 3.9 |
| Sex | Fellowship trained | ||||
| Female | 55 | 6.2 | Yes | 645 | 71.5 |
| Male | 826 | 93.8 | No | 257 | 28.5 |
| Home demographics | Years since training completion | ||||
| Spouse at home | 773 | 86.5 | Less than 5 years | 161 | 25.3 |
| Children at home | 5 to 10 years | 141 | 22.2 | ||
| 0 | 250 | 28.2 | 10 to 15 years | 104 | 16.4 |
| 1 | 221 | 24.9 | 15 to 20 years | 117 | 18.4 |
| 2 | 266 | 30.0 | Over 20 years | 113 | 17.8 |
| 3 | 109 | 12.3 | Practice type | ||
| 4+ | 41 | 4.6 | Academic/Private combined | 204 | 22.9 |
| Elderly at home | 191 | 21.4 | Academic | 405 | 45.4 |
| Living alone | 63 | 7.1 | Private | 144 | 16.1 |
| Estimated home city population | Public/Local hospital | 139 | 15.6 | ||
| <100 000 | 46 | 5.2 | Practice breakdown (%) | ||
| 100 000-500 000 | 185 | 20.7 | Percentage research | ||
| 500 000-1 000 000 | 136 | 15.2 | 0-25 | 731 | 81.9 |
| 1 000 000-2 000 000 | 144 | 16.1 | 26-50 | 129 | 14.5 |
| >2 000 000 | 382 | 42.8 | 51-75 | 21 | 2.4 |
| Geographic region | 76-100 | 12 | 1.3 | ||
| Africa | 44 | 5.0 | Percentage clinical | ||
| Asia | 213 | 24.2 | 0-25 | 22 | 2.5 |
| Australia | 8 | 0.9 | 26-50 | 87 | 9.7 |
| Europe | 242 | 27.5 | 51-75 | 194 | 21.7 |
| Middle East | 77 | 8.7 | 76-100 | 590 | 66.1 |
| North America | 152 | 17.3 | Percentage teaching | ||
| South America/Latin America | 145 | 16.5 | 0-25 | 668 | 74.9 |
| Medical comorbidities | 26-50 | 152 | 17.0 | ||
| Cancer | 4 | 0.4 | 51-75 | 50 | 5.6 |
| Cardiac disease | 25 | 2.8 | 76-100 | 22 | 2.5 |
| Diabetes | 45 | 5.0 | |||
| Hypertension | 156 | 17.3 | |||
| No comorbidities | 570 | 63.2 | |||
| Obesity | 103 | 11.4 | |||
| Renal failure | 5 | 0.6 | |||
| Respiratory illness | 35 | 3.9 | |||
| Tobacco use | 77 | 8.5 | |||
| Total respondents | 902 | 100 | |||
a Number of respondents/votes.
COVID-19 Perceptions.
| Overall | Africa | Asia | Australia | Europe | Middle East | North America | South America/Latin America |
| |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| nb/Mean | Percentage/±SD | nb/Mean | Percentage/±SD | nb/Mean | Percentage/±SD | nb/Mean | Percentage/±SD | nb/Mean | Percentage/±SD | nb/Mean | Percentage/±SD | nb/Mean | Percentage/±SD | nb/Mean | Percentage/±SD | ||
| COVID-19 diagnosis | |||||||||||||||||
| Know someone diagnosed | 392 | 46.6 | 12 | 27.9 | 64 | 33.0 | 2 | 25.0 | 146 | 63.5 | 29 | 41.4 | 71 | 48.0 | 65 | 48.2 |
|
| Personally diagnosed | 9 | 1.1 | 0 | 0.0 | 2 | 1.0 | 0 | 0.0 | 2 | 0.9 | 0 | 0.0 | 2 | 1.3 | 3 | 2.2 | .791 |
| COVID-19 testing | |||||||||||||||||
| Know how to get tested | 701 | 82.9 | 32 | 74.4 | 170 | 87.6 | 7 | 87.5 | 192 | 82.8 | 54 | 77.1 | 126 | 84.6 | 110 | 80.9 | .259 |
| Personally tested | 57 | 6.7 | 0 | 0.0 | 6 | 3.1 | 0 | 0.0 | 32 | 13.8 | 1 | 1.4 | 9 | 6.0 | 8 | 5.9 |
|
| Reason for testing | |||||||||||||||||
| Direct contact with COVID-19 positive patient | 49 | 35.5 | 4 | 57.1 | 9 | 25.0 | 21 | 44.7 | 3 | 37.5 | 5 | 41.7 | 6 | 22.2 | 6 | 4.1 | .205 |
| Prophylactic | 12 | 8.7 | 1 | 14.3 | 6 | 16.7 | 3 | 6.4 | 0 | 0.0 | 0 | 0.0 | 2 | 7.4 | 2 | 1.4 | .369 |
| Demonstrated symptoms | 68 | 49.3 | 2 | 28.6 | 16 | 44.4 | 20 | 42.6 | 4 | 50.0 | 7 | 58.3 | 19 | 70.4 | 19 | 13.1 | .181 |
| Asked to be tested | 9 | 6.5 | 0 | 0.0 | 5 | 13.9 | 3 | 6.4 | 1 | 12.5 | 0 | 0.0 | 0 | 0.0 | 8 | 5.5 | .233 |
| Mean worry about COVID-19 (1, not worried, to 5, very worried) | 3.7 | ±1.2 | 3.6 | ±1.2 | 3.7 | ±1.2 | 3.1 | ±2.1 | 3.7 | ±1.1 | 3.4 | ±1.2 | 3.8 | ±1.1 | 3.9 | ±1.2 | .167 |
| Current stressors | |||||||||||||||||
| Personal health | 358 | 42.5 | 19 | 44.2 | 97 | 50.5 | 6 | 75.0 | 84 | 36.4 | 32 | 45.7 | 55 | 36.9 | 59 | 43.4 |
|
| Family health | 640 | 76.0 | 29 | 67.4 | 146 | 76.0 | 5 | 62.5 | 183 | 79.2 | 56 | 80.0 | 110 | 73.8 | 102 | 75.0 | .553 |
| Community health | 370 | 43.9 | 22 | 51.2 | 95 | 49.5 | 4 | 50.0 | 97 | 42.0 | 38 | 54.3 | 50 | 33.6 | 56 | 41.2 |
|
| Hospital capacity | 352 | 41.8 | 17 | 39.5 | 71 | 37.0 | 6 | 75.0 | 117 | 50.6 | 22 | 31.4 | 61 | 40.9 | 53 | 39.0 |
|
| Timeline to resume clinical practice | 378 | 44.9 | 18 | 41.9 | 86 | 44.8 | 5 | 62.5 | 108 | 46.8 | 21 | 30.0 | 93 | 62.4 | 41 | 30.1 |
|
| Government/Leadership | 154 | 18.3 | 6 | 14.0 | 50 | 26.0 | 2 | 25.0 | 33 | 14.3 | 6 | 8.6 | 29 | 19.5 | 27 | 19.9 |
|
| Return to nonessential activities | 116 | 13.8 | 6 | 14.0 | 19 | 9.9 | 3 | 37.5 | 35 | 15.2 | 7 | 10.0 | 33 | 22.1 | 12 | 8.8 |
|
| Economic issues | 385 | 45.7 | 17 | 39.5 | 68 | 35.4 | 4 | 50.0 | 105 | 45.5 | 34 | 48.6 | 77 | 51.7 | 77 | 56.6 |
|
| Other | 11 | 1.3 | 0 | 0.0 | 2 | 1.0 | 0 | 0.0 | 1 | 0.4 | 2 | 2.9 | 5 | 3.4 | 1 | 0.7 | .203 |
| Media perceptions | |||||||||||||||||
| Accurate coverage | 407 | 48.5 | 17 | 39.5 | 98 | 51.0 | 5 | 62.5 | 115 | 49.8 | 23 | 32.9 | 90 | 60.8 | 53 | 39.3 |
|
| Excessive coverage | 298 | 35.5 | 22 | 51.2 | 65 | 33.9 | 2 | 25.0 | 77 | 33.3 | 34 | 48.6 | 36 | 24.3 | 58 | 43.0 |
|
| Not enough coverage | 135 | 16.1 | 4 | 9.3 | 29 | 15.1 | 1 | 12.5 | 39 | 16.9 | 13 | 18.6 | 22 | 14.9 | 24 | 17.8 | .861 |
| Current media sources | |||||||||||||||||
| International news: internet | 202 | 26.0 | 14 | 35.0 | 39 | 21.8 | 2 | 25.0 | 70 | 32.3 | 20 | 31.8 | 23 | 16.1 | 32 | 27.4 |
|
| International news: television | 72 | 9.3 | 7 | 17.5 | 12 | 6.7 | 0 | 0.0 | 14 | 6.5 | 17 | 27.0 | 7 | 4.9 | 12 | 10.3 |
|
| National/Local news: internet | 224 | 28.8 | 7 | 17.5 | 53 | 29.6 | 4 | 50.0 | 62 | 28.6 | 9 | 14.3 | 61 | 42.7 | 26 | 22.2 |
|
| National/Local news: television | 177 | 22.8 | 6 | 15.0 | 42 | 23.5 | 2 | 25.0 | 50 | 23.0 | 7 | 11.1 | 39 | 27.3 | 28 | 23.9 | .232 |
| Newspaper | 28 | 3.6 | 0 | 0.0 | 5 | 2.8 | 0 | 0.0 | 8 | 3.7 | 3 | 4.8 | 7 | 4.9 | 5 | 4.3 | .787 |
| Social media | 75 | 9.6 | 6 | 15.0 | 28 | 15.6 | 0 | 0.0 | 13 | 6.0 | 7 | 11.1 | 6 | 4.2 | 14 | 12.0 |
|
a Calculation of P values was performed using χ2, Fisher, and ANOVA tests. Bolded values indicate statistical significance at P <.05.
b Number of respondents/votes.
Figure 2.COVID-19 Worldwide Impact Surgeon Infographic highlighting key finding surrounding surgeon perspectives of the media, institutional and governmental policy enactment, and occupational hazard risks from the AO Spine COVID-19 and Spine Surgeon Global Impact Survey.
Institutional/Government Impact.
| Overall | Africa | Asia | Australia | Europe | Middle East | North America | South America/Latin America |
| |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | ||
| Quarantined | 193 | 22.9 | 4 | 9.3 | 28 | 14.7 | 1 | 12.5 | 42 | 18.1 | 8 | 11.4 | 27 | 18.1 | 77 | 57.0 |
|
| Institution | |||||||||||||||||
| Formal guidelines in place | 452 | 60.4 | 25 | 56.8 | 122 | 57.3 | 7 | 87.5 | 118 | 48.8 | 36 | 46.8 | 90 | 59.2 | 50 | 34.5 |
|
| Adequate PPE provided | 415 | 49.6 | 12 | 27.3 | 110 | 51.6 | 3 | 37.5 | 112 | 46.3 | 28 | 36.4 | 96 | 63.2 | 50 | 34.5 |
|
| N95 | 451 | 54.0 | 10 | 23.3 | 106 | 55.2 | 6 | 75.0 | 115 | 50.4 | 23 | 33.3 | 123 | 83.7 | 62 | 45.9 |
|
| Surgical mask | 738 | 88.4 | 38 | 88.4 | 174 | 90.6 | 8 | 100.0 | 213 | 93.4 | 63 | 91.3 | 130 | 88.4 | 100 | 74.1 |
|
| Face shield | 415 | 49.7 | 15 | 34.9 | 99 | 51.6 | 7 | 87.5 | 123 | 54.0 | 18 | 26.1 | 107 | 72.8 | 42 | 31.1 |
|
| Gown | 491 | 58.8 | 25 | 58.1 | 102 | 53.1 | 8 | 100.0 | 142 | 62.3 | 44 | 63.8 | 113 | 76.9 | 53 | 39.3 |
|
| Full face respirator | 95 | 11.4 | 2 | 4.7 | 24 | 12.5 | 1 | 12.5 | 27 | 11.8 | 3 | 4.4 | 28 | 19.1 | 10 | 7.4 |
|
| Ventilators | 343 | 41.0 | 3 | 6.8 | 84 | 39.4 | 3 | 37.5 | 114 | 47.1 | 14 | 18.2 | 80 | 52.6 | 41 | 28.3 |
|
| Other | 55 | 6.6 | 2 | 4.7 | 12 | 6.3 | 1 | 12.5 | 14 | 6.1 | 8 | 11.6 | 8 | 5.4 | 8 | 5.9 | .663 |
| None | 33 | 4.0 | 3 | 7.0 | 6 | 3.1 | 0 | 0.0 | 5 | 2.2 | 1 | 1.5 | 4 | 2.7 | 14 | 10.4 |
|
| Hospital interventions | |||||||||||||||||
| Quarantine after international travel | 507 | 60.9 | 21 | 48.8 | 131 | 68.2 | 8 | 100.0 | 125 | 54.6 | 30 | 43.5 | 104 | 72.2 | 82 | 60.7 |
|
| Limitations on domestic travel | 483 | 58.0 | 23 | 53.5 | 120 | 62.5 | 8 | 100.0 | 126 | 55.0 | 28 | 40.6 | 104 | 72.2 | 68 | 50.4 |
|
| Nonessential employees work from home | 558 | 67.0 | 21 | 48.8 | 98 | 51.0 | 6 | 75.0 | 175 | 76.4 | 42 | 60.9 | 124 | 86.1 | 84 | 62.2 |
|
| Cancellation of all educational/academic activities | 689 | 82.7 | 30 | 69.8 | 153 | 79.7 | 8 | 100.0 | 208 | 90.8 | 55 | 79.7 | 121 | 84.0 | 101 | 74.8 |
|
| Cancellation of hospital meetings | 674 | 80.9 | 29 | 67.4 | 138 | 71.9 | 8 | 100.0 | 200 | 87.3 | 53 | 76.8 | 130 | 90.3 | 105 | 77.8 |
|
| Cancellation of elective surgeries | 714 | 85.7 | 33 | 76.7 | 131 | 68.2 | 8 | 100.0 | 217 | 94.8 | 62 | 89.9 | 140 | 97.2 | 113 | 83.7 |
|
| None of the above | 17 | 2.0 | 1 | 2.3 | 5 | 2.6 | 0 | 0.0 | 0 | 0.0 | 4 | 5.8 | 1 | 0.7 | 6 | 4.4 |
|
| Medical staff furlough | |||||||||||||||||
| Yes | 307 | 40.5 | 17 | 44.7 | 70 | 40.0 | 1 | 12.5 | 81 | 38.8 | 25 | 41.0 | 40 | 28.2 | 67 | 58.8 |
|
| Potentially | 165 | 21.8 | 10 | 26.3 | 22 | 12.6 | 4 | 50.0 | 51 | 24.4 | 10 | 16.4 | 44 | 31.0 | 23 | 20.2 |
|
| No | 286 | 37.8 | 11 | 29.0 | 83 | 47.4 | 3 | 37.5 | 77 | 36.8 | 26 | 42.6 | 58 | 40.9 | 24 | 21.1 |
|
| Medical staff unemployment | |||||||||||||||||
| Yes | 67 | 8.8 | 4 | 10.0 | 11 | 6.3 | 1 | 12.5 | 9 | 4.3 | 2 | 3.3 | 23 | 16.4 | 17 | 14.7 |
|
| Potentially | 108 | 14.2 | 5 | 12.5 | 14 | 8.0 | 2 | 25.0 | 27 | 12.9 | 6 | 9.8 | 23 | 16.4 | 28 | 24.1 |
|
| No | 586 | 77.0 | 31 | 77.5 | 151 | 85.8 | 5 | 62.5 | 173 | 82.8 | 53 | 86.9 | 94 | 67.1 | 71 | 61.2 |
|
| Perception of hospital effectiveness | |||||||||||||||||
| Acceptable/Appropriate | 477 | 61.4 | 14 | 35.0 | 125 | 69.8 | 5 | 62.5 | 129 | 59.5 | 30 | 48.4 | 105 | 73.4 | 63 | 53.9 |
|
| Excessive/Unnecessary | 17 | 2.2 | 1 | 2.5 | 4 | 2.2 | 0 | 0.0 | 5 | 2.3 | 1 | 1.6 | 5 | 3.5 | 1 | 0.9 | .881 |
| Disarray/Disorganized | 68 | 8.8 | 1 | 2.5 | 11 | 6.2 | 0 | 0.0 | 26 | 12.0 | 6 | 9.7 | 10 | 7.0 | 14 | 12.0 | .169 |
| Not enough action | 215 | 27.7 | 24 | 60.0 | 39 | 21.8 | 3 | 37.5 | 57 | 26.3 | 25 | 40.3 | 23 | 16.1 | 39 | 33.3 |
|
| Frequency of updates from hospital | |||||||||||||||||
| Multiple times per day | 160 | 20.7 | 7 | 17.5 | 33 | 18.5 | 1 | 12.5 | 41 | 19.0 | 8 | 12.9 | 52 | 36.6 | 15 | 12.8 |
|
| Once a day | 366 | 47.3 | 17 | 42.5 | 85 | 47.8 | 5 | 62.5 | 108 | 50.0 | 22 | 35.5 | 74 | 52.1 | 52 | 44.4 | .330 |
| 2-3 Times per week | 106 | 13.7 | 5 | 12.5 | 30 | 16.9 | 1 | 12.5 | 33 | 15.3 | 4 | 6.5 | 18 | 12.7 | 14 | 12.0 | 0.523 |
| Once per week | 44 | 5.7 | 1 | 2.5 | 15 | 8.4 | 1 | 12.5 | 11 | 5.1 | 3 | 4.8 | 3 | 2.1 | 9 | 7.7 | .204 |
| Less than once per week | 10 | 1.3 | 1 | 2.5 | 3 | 1.7 | 0 | 0.0 | 2 | 0.9 | 0 | 0.0 | 0 | 0.0 | 3 | 2.6 | .474 |
| Not at all | 142 | 18.4 | 12 | 30.0 | 29 | 16.3 | 0 | 0.0 | 37 | 17.1 | 27 | 43.6 | 4 | 2.8 | 30 | 25.6 |
|
| Government | |||||||||||||||||
| Cancel elective surgery | 646 | 77.2 | 27 | 62.8 | 122 | 63.9 | 8 | 100.0 | 201 | 87.4 | 58 | 84.1 | 124 | 83.8 | 95 | 70.4 |
|
| Shelter/Self-protection | 570 | 68.1 | 21 | 48.8 | 123 | 64.4 | 7 | 87.5 | 169 | 73.5 | 42 | 60.9 | 119 | 80.4 | 80 | 59.3 |
|
| No gatherings > 50 people | 365 | 43.6 | 25 | 58.1 | 88 | 46.1 | 6 | 75.0 | 74 | 32.2 | 34 | 49.3 | 76 | 51.4 | 58 | 43.0 |
|
| No gatherings > 100 people | 458 | 58.3 | 16 | 37.2 | 118 | 61.8 | 4 | 50.0 | 150 | 65.2 | 27 | 39.1 | 117 | 79.1 | 49 | 36.3 |
|
| No gatherings > household | 371 | 44.3 | 13 | 30.2 | 70 | 36.7 | 6 | 75.0 | 151 | 65.7 | 22 | 31.9 | 61 | 41.2 | 46 | 34.1 |
|
| Closure of nonessential business | 727 | 86.9 | 34 | 79.1 | 152 | 79.6 | 7 | 87.5 | 206 | 89.6 | 59 | 85.5 | 139 | 93.9 | 119 | 88.2 |
|
| Closure of schools/universities | 795 | 95.0 | 40 | 93.0 | 175 | 91.6 | 7 | 87.5 | 225 | 97.8 | 66 | 95.7 | 144 | 97.3 | 125 | 92.6 |
|
| Closure of dine-in restaurants | 711 | 85.0 | 33 | 76.7 | 129 | 67.5 | 8 | 100.0 | 215 | 93.5 | 58 | 84.1 | 142 | 96.0 | 113 | 83.7 |
|
| Closure of public transportation | 239 | 28.6 | 12 | 27.9 | 96 | 50.3 | 2 | 25.0 | 36 | 15.7 | 24 | 34.8 | 34 | 23.0 | 29 | 21.5 |
|
| Restrict elderly to home | 426 | 50.9 | 15 | 34.9 | 94 | 49.2 | 4 | 50.0 | 143 | 62.2 | 22 | 31.9 | 54 | 36.5 | 91 | 67.4 |
|
| Perception of government effectiveness | |||||||||||||||||
| Acceptable/Appropriate | 456 | 58.5 | 17 | 42.5 | 114 | 63.7 | 5 | 62.5 | 130 | 59.9 | 41 | 65.1 | 68 | 47.6 | 74 | 62.7 |
|
| Excessive/Unnecessary | 20 | 2.6 | 0 | 0.0 | 4 | 2.2 | 0 | 0.0 | 7 | 3.2 | 0 | 0.0 | 7 | 4.9 | 2 | 1.7 | .346 |
| Disarray/Disorganized | 88 | 11.3 | 2 | 5.0 | 13 | 7.3 | 1 | 12.5 | 24 | 11.1 | 5 | 7.9 | 28 | 19.6 | 13 | 11.0 |
|
| Not enough action | 215 | 27.6 | 21 | 52.5 | 48 | 26.8 | 2 | 25.0 | 56 | 25.8 | 17 | 27.0 | 40 | 28.0 | 29 | 24.6 |
|
a Calculation of P values was performed using χ2 and Fisher exact tests. Bolded values indicate statistical significance at P < .05.
b Number of respondents/votes.
Practice Impact.
| Overall | Africa | Asia | Australia | Europe | Middle East | North America | South America/Latin America |
| |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | ||
| Still performing elective surgery | 149 | 18.5 | 12 | 27 | 84 | 39.4 | 0 | 0.0 | 24 | 9.9 | 9 | 11.7 | 6 | 4.0 | 14 | 9.7 |
|
| Essential/Emergency spine surgery | 700 | 87.3 | 35 | 80 | 159 | 74.7 | 7 | 87.5 | 199 | 82.2 | 56 | 72.7 | 137 | 90.1 | 98 | 67.6 |
|
| Percentage cancelled surgical cases per week | |||||||||||||||||
| 0-25 | 69 | 8.6 | 8 | 20 | 41 | 22.0 | 1 | 12.5 | 12 | 5.4 | 1 | 1.5 | 3 | 2.1 | 6 | 4.8 |
|
| 26-50 | 123 | 15.3 | 6 | 15 | 20 | 10.8 | 0 | 0.0 | 15 | 6.7 | 12 | 18.2 | 2 | 1.4 | 12 | 9.7 |
|
| 51-75 | 72 | 9.0 | 7 | 17 | 34 | 18.3 | 0 | 0.0 | 28 | 12.6 | 21 | 31.8 | 16 | 11.1 | 15 | 12.1 |
|
| 76-100 | 539 | 67.1 | 20 | 49 | 91 | 48.9 | 7 | 87.5 | 168 | 75.3 | 32 | 48.5 | 123 | 85.4 | 91 | 73.4 |
|
| Impact on clinical time spent | |||||||||||||||||
| Increased | 46 | 5.7 | 1 | 2 | 10 | 5.4 | 1 | 12.5 | 13 | 5.8 | 2 | 3.0 | 2 | 1.4 | 15 | 12.1 |
|
| Decreased | 675 | 84.0 | 38 | 93 | 152 | 82.2 | 6 | 75.0 | 180 | 80.7 | 61 | 91.0 | 138 | 95.2 | 92 | 74.2 |
|
| Stayed the same | 83 | 10.3 | 2 | 5 | 23 | 12.4 | 1 | 12.5 | 30 | 13.5 | 4 | 6.0 | 5 | 3.5 | 17 | 13.7 |
|
| Perceived impact on resident/fellow training | |||||||||||||||||
| Not currently training residents/fellows | 268 | 33.7 | 14 | 35 | 68 | 36.8 | 0 | 0.0 | 67 | 30.5 | 30 | 44.8 | 42 | 29.6 | 43 | 35.0 | .096 |
| Hurts training experience | 450 | 56.5 | 25 | 63 | 96 | 51.9 | 6 | 75.0 | 127 | 57.7 | 35 | 52.2 | 88 | 62.0 | 67 | 54.5 | .439 |
| Improves training experience | 30 | 3.8 | 1 | 3 | 8 | 4.3 | 0 | 0.0 | 9 | 4.1 | 1 | 1.5 | 2 | 1.4 | 8 | 6.5 | .370 |
| No overall impact | 48 | 6.0 | 0 | 0 | 13 | 7.0 | 2 | 25.0 | 17 | 7.7 | 1 | 1.5 | 10 | 7.0 | 5 | 4.1 | .053 |
| Medical duties outside specialty | 183 | 22.8 | 9 | 21 | 34 | 16.0 | 1 | 12.5 | 70 | 28.9 | 3 | 3.9 | 34 | 22.4 | 34 | 22.4 |
|
| Warning patients if the surgeon is COVID-19 positive | |||||||||||||||||
| Absolutely | 595 | 74.2 | 27 | 68 | 140 | 75.7 | 8 | 100.0 | 160 | 72.4 | 43 | 63.2 | 114 | 78.6 | 94 | 75.8 | .117 |
| Likely | 106 | 13.2 | 4 | 10 | 23 | 12.4 | 0 | 0.0 | 35 | 15.8 | 11 | 16.2 | 16 | 11.0 | 16 | 12.9 | .661 |
| Less likely | 43 | 5.4 | 4 | 10 | 12 | 6.5 | 0 | 0.0 | 11 | 5.0 | 6 | 8.8 | 5 | 3.5 | 4 | 3.2 | .370 |
| Not at all | 58 | 7.2 | 5 | 13 | 10 | 5.4 | 0 | 0.0 | 15 | 6.8 | 8 | 11.8 | 10 | 6.9 | 10 | 8.1 | .492 |
| Research activities affected | |||||||||||||||||
| No research engagement | 206 | 27.0 | 9 | 23 | 42 | 24.1 | 2 | 25.0 | 60 | 28.4 | 22 | 36.1 | 28 | 19.6 | 37 | 32.2 | .147 |
| Complete stop | 122 | 16.0 | 7 | 18 | 31 | 17.8 | 1 | 12.5 | 35 | 16.6 | 10 | 16.4 | 16 | 11.2 | 19 | 16.5 | .793 |
| Decrease in productivity | 247 | 32.4 | 15 | 38 | 64 | 36.8 | 3 | 37.5 | 61 | 28.9 | 16 | 26.2 | 56 | 39.2 | 31 | 27.0 | .186 |
| No change | 108 | 14.2 | 6 | 15 | 24 | 13.8 | 2 | 25.0 | 30 | 14.2 | 10 | 16.4 | 23 | 16.1 | 12 | 10.4 | .833 |
| Increase in productivity | 80 | 10.5 | 3 | 8 | 13 | 7.5 | 0 | 0.0 | 25 | 11.9 | 3 | 4.9 | 20 | 14.0 | 16 | 13.9 | .197 |
| Surgery impact | |||||||||||||||||
| Advise against | 561 | 70.4 | 26 | 63 | 119 | 64.3 | 6 | 75.0 | 157 | 71.7 | 53 | 80.3 | 104 | 72.2 | 87 | 70.7 | .253 |
| Proceed with standard precautions | 138 | 17.3 | 8 | 20 | 46 | 24.9 | 1 | 12.5 | 26 | 11.9 | 15 | 22.7 | 13 | 9.0 | 28 | 22.8 |
|
| Absent during intubation/extubation | 322 | 40.4 | 10 | 24 | 52 | 28.1 | 5 | 62.5 | 92 | 42.0 | 23 | 34.9 | 82 | 56.9 | 56 | 45.5 |
|
| Additional PPE during surgery | 428 | 43.7 | 16 | 39 | 105 | 56.8 | 4 | 50.0 | 117 | 53.4 | 38 | 57.6 | 78 | 54.2 | 67 | 54.5 | .583 |
| Income impact | |||||||||||||||||
| Losing income | 308 | 40.5 | 22 | 55 | 46 | 26.3 | 7 | 87.5 | 80 | 38.3 | 30 | 49.2 | 50 | 35.5 | 68 | 58.6 |
|
| No impact, salary | 244 | 32.1 | 12 | 30 | 70 | 40.0 | 1 | 12.5 | 83 | 39.7 | 15 | 24.6 | 51 | 36.2 | 9 | 7.8 |
|
| No impact, compensation-based | 7 | 0.9 | 0 | 0 | 0 | 0.0 | 0 | 0.0 | 3 | 1.4 | 2 | 3.3 | 1 | 0.7 | 1 | 0.9 | .382 |
| Planned reduction, salary | 138 | 18.1 | 6 | 15 | 48 | 27.4 | 0 | 0.0 | 32 | 15.3 | 9 | 14.8 | 12 | 8.5 | 28 | 24.1 |
|
| Planned reduction, compensation-based | 64 | 8.4 | 0 | 0 | 11 | 6.3 | 0 | 0.0 | 11 | 5.3 | 5 | 8.2 | 27 | 19.2 | 10 | 8.6 |
|
| Percentage personal income affected | |||||||||||||||||
| 0-25 | 219 | 28.9 | 6 | 15 | 62 | 35.4 | 1 | 12.5 | 77 | 37.4 | 6 | 9.8 | 53 | 37.9 | 10 | 8.6 |
|
| 26-50 | 226 | 29.9 | 16 | 40 | 49 | 28.0 | 1 | 12.5 | 61 | 29.6 | 29 | 47.5 | 26 | 18.6 | 44 | 37.9 |
|
| 51-75 | 142 | 18.8 | 10 | 25 | 34 | 19.4 | 3 | 37.5 | 36 | 17.5 | 12 | 19.7 | 25 | 17.9 | 20 | 17.2 | .754 |
| 76-100 | 170 | 22.5 | 8 | 20 | 30 | 17.1 | 3 | 37.5 | 32 | 15.5 | 14 | 23.0 | 36 | 25.7 | 42 | 36.2 |
|
| Percentage hospital income affected | |||||||||||||||||
| 0-25 | 169 | 22.3 | 8 | 20 | 42 | 24.1 | 2 | 25.0 | 64 | 30.6 | 7 | 11.7 | 26 | 18.7 | 15 | 12.9 |
|
| 26-50 | 199 | 26.3 | 13 | 33 | 47 | 27.0 | 2 | 25.0 | 62 | 29.7 | 19 | 31.7 | 24 | 17.3 | 31 | 26.7 | .188 |
| 51-75 | 207 | 27.3 | 11 | 28 | 53 | 30.5 | 2 | 25.0 | 48 | 23.0 | 19 | 31.7 | 41 | 29.5 | 33 | 28.5 | .710 |
| 76-100 | 182 | 24.0 | 8 | 20 | 32 | 18.4 | 2 | 25.0 | 35 | 16.8 | 15 | 25.0 | 48 | 34.5 | 37 | 31.9 |
|
a Calculation of P values was performed using χ2 and Fisher exact tests. Bolded values indicate statistical significance at P < .05.
b Number of respondents/votes.
Figure 3.A. Radar chart depictions of current COVID-19 government policies by geographic region: 10-sided (decagon) radar charts visually depicting cumulative percentage of responses verifying the enactment of a given COVID-19 government policy at the time of survey distribution. Queried policies are listed at the vertex of a given figure, whereby points falling on a vertex of the innermost decagon correspond to a cumulative total of 0% of survey responses received. Moving outward from one decagon to the next corresponds to a 25% increase in responses for a given category. B. Radar chart depictions of current COVID-19 hospital policies by geographic region: 7-sided (heptagon) radar charts visually depicting cumulative percentage of responses verifying the enactment of a given COVID-19 hospital policy at the time of survey distribution. Queried policies are listed at the vertex of a given figure, whereby points falling on a vertex of the innermost heptagon correspond to a cumulative total of 0% of survey responses received. Moving outward from one heptagon to the next corresponds to a 25% increase in responses for a given category.
Figure 4.Regional availability of personal protective equipment (PPE) bar chart detailing overall and regional availability of various types of PPE. X-axis: percentage of survey responses received; Y-axis: type of PPE equipment queried.
Figure 5.A. Pie donut depictions of questions highlighting COVID-19’s impact on clinical practice graphical depictions of specific questions and distribution of responses by geographic region highlighting the impact of COVID-19 on a respondent’s surgical practice. Inner pie chart highlights the percentage of responses received for a given answer choice, whereas the outer “donut” reveals the respective geographic distribution. Regions constituting <2% of the overall pie chart area are omitted for clarity. B. Regional distribution of current COVID-19 surgical precautions bar chart detailing overall and regional practices of surgical precautions for COVID-19 positive surgical candidates. X-axis, percentage of survey responses received; Y-axis, type of surgical precaution queried.
Personal Impact and Future Perceptions.
| Personal Impact | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall | Africa | Asia | Australia | Europe | Middle East | North America | South America/Latin America |
| |||||||||
| nb/Mean | Percentage /±SD | nb/Mean | Percentage /±SD | nb/Mean | Percentage /±SD | nb/Mean | Percentage /±SD | nb/Mean | Percentage /±SD | nb/Mean | Percentage /±SD | nb/Mean | Percentage /±SD | nb/Mean | Percentage /±SD | ||
| Percentage leisure activities cancelled | |||||||||||||||||
| 0-25 | 177 | 21.1 | 14 | 32.6 | 49 | 25.5 | 1 | 12.5 | 53 | 22.9 | 16 | 22.9 | 12 | 8.2 | 30 | 22.2 |
|
| 26-50 | 98 | 11.7 | 5 | 11.6 | 25 | 13.0 | 0 | 0.0 | 26 | 11.3 | 13 | 18.6 | 3 | 2.0 | 24 | 17.8 |
|
| 51-75 | 64 | 7.6 | 5 | 11.6 | 18 | 9.4 | 0 | 0.0 | 9 | 3.9 | 6 | 8.6 | 10 | 6.8 | 16 | 11.9 | .105 |
| 76-100 | 500 | 59.6 | 19 | 44.2 | 100 | 52.1 | 7 | 87.5 | 143 | 61.9 | 35 | 50.0 | 122 | 83.0 | 65 | 48.2 |
|
| Percentage business/academic activities cancelled | |||||||||||||||||
| 0-25 | 98 | 11.6 | 8 | 18.6 | 21 | 10.9 | 0 | 0.0 | 34 | 14.7 | 10 | 14.3 | 6 | 4.0 | 17 | 12.5 |
|
| 26-50 | 116 | 13.8 | 9 | 20.9 | 31 | 16.1 | 1 | 12.5 | 34 | 14.7 | 13 | 18.6 | 7 | 4.7 | 19 | 14.0 |
|
| 51-75 | 76 | 9.0 | 4 | 9.3 | 21 | 10.9 | 0 | 0.0 | 17 | 7.4 | 7 | 10.0 | 4 | 2.7 | 22 | 16.2 |
|
| 76-100 | 553 | 65.6 | 22 | 51.2 | 120 | 62.2 | 7 | 87.5 | 146 | 63.2 | 40 | 57.1 | 132 | 88.6 | 78 | 57.4 |
|
| Sick leave for COVID-19 | 4 | 50.0 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 2 | 66.7 | 0 | 0.0 | 0 | 0.0 | 2 | 100.0 | .149 |
| Hospitalization for COVID-19 | 1 | 12.5 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 1 | 33.3 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | .592 |
| Intensive care unit treatment | 1 | 12.5 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 1 | 33.3 | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | .852 |
| Mean personal allocation of time (1, most time; 8, least time) | |||||||||||||||||
| Spending time with family | 2.7 | ±2.2 | 2.4 | ±2.0 | 2.7 | ±2.1 | 3.0 | ±1.7 | 3.0 | ±2.4 | 2.8 | ±2.5 | 2.4 | ±2.0 | 2.4 | ±2.1 | .161 |
| Personal wellness | 3.8 | ±1.9 | 3.1 | ±1.6 | 3.6 | ±1.9 | 4.0 | ±1.4 | 4.3 | ±1.9 | 3.0 | ±1.8 | 3.9 | ±1.9 | 3.5 | ±1.8 | .846 |
| Resting | 4.3 | ±2.0 | 3.4 | ±1.8 | 4.3 | ±2.0 | 4.5 | ±1.9 | 4.4 | ±2 | 3.7 | ±2.0 | 4.6 | ±1.9 | 4.1 | ±2.0 | .986 |
| Future planning | 4.6 | ±1.8 | 4.4 | ±1.8 | 4.8 | ±1.8 | 4.8 | ±2.8 | 4.5 | ±1.8 | 5.1 | ±1.8 | 4.3 | ±1.7 | 4.6 | ±1.9 | .726 |
| Hobbies | 5.2 | ±1.9 | 6.1 | ±1.7 | 5.5 | ±1.9 | 5.3 | ±1.9 | 5.1 | ±1.9 | 5.0 | ±2.1 | 5.5 | ±1.7 | 4.7 | ±2.0 | .628 |
| Academic projects/research | 4.6 | ±2.1 | 5.2 | ±2.1 | 4.6 | ±2.1 | 3.9 | ±1.8 | 4.5 | ±2.1 | 4.6 | ±1.9 | 4.6 | ±2.3 | 4.5 | ±2.1 | .860 |
| Community outreach | 6.3 | ±2.0 | 6.1 | ±1.8 | 6.1 | ±2.0 | 6.0 | ±3.1 | 6.1 | ±2.3 | 6.3 | ±1.5 | 7.0 | ±1.4 | 6.3 | ±1.9 |
|
| Spine practice/Medical center work | 4.1 | ±2.5 | 5.1 | ±2.5 | 4.1 | ±2.6 | 3.9 | ±2.9 | 3.5 | ±2.5 | 5.3 | ±2.3 | 3.4 | ±2.2 | 5.0 | ±2.4 | .616 |
| Current stress coping mechanisms | |||||||||||||||||
| Exercise | 463 | 62.9 | 15 | 38.5 | 110 | 65.9 | 6 | 75.0 | 119 | 58.3 | 23 | 39.0 | 115 | 82.1 | 72 | 66.1 |
|
| Music | 330 | 44.8 | 5 | 12.8 | 81 | 48.5 | 4 | 50.0 | 96 | 47.1 | 21 | 35.6 | 53 | 37.9 | 68 | 62.4 |
|
| Meditation/Mindfulness | 118 | 16.0 | 4 | 10.3 | 33 | 19.8 | 0 | 0.0 | 23 | 11.3 | 14 | 23.7 | 23 | 16.4 | 20 | 18.4 | .100 |
| Tobacco | 29 | 3.9 | 2 | 5.1 | 7 | 4.2 | 0 | 0.0 | 15 | 7.4 | 4 | 6.8 | 0 | 0.0 | 0 | 0.0 |
|
| Alcohol | 89 | 12.1 | 0 | 0.0 | 16 | 9.6 | 2 | 25.0 | 25 | 12.3 | 3 | 5.1 | 23 | 16.4 | 19 | 17.4 |
|
| Research projects | 244 | 33.2 | 13 | 33.3 | 61 | 36.5 | 1 | 12.5 | 65 | 31.9 | 15 | 25.4 | 46 | 32.9 | 42 | 38.5 | .480 |
| Family | 578 | 78.5 | 33 | 84.6 | 127 | 76.1 | 6 | 75.0 | 151 | 74.0 | 49 | 83.1 | 114 | 81.4 | 90 | 82.6 | .375 |
| Spiritual/Religious activities | 116 | 15.8 | 11 | 28.2 | 27 | 16.2 | 0 | 0.0 | 15 | 7.4 | 20 | 33.9 | 20 | 14.3 | 19 | 17.4 |
|
| Reading | 458 | 62.2 | 25 | 64.1 | 112 | 67.1 | 5 | 62.5 | 125 | 61.3 | 32 | 54.2 | 83 | 59.3 | 69 | 63.3 | .681 |
| Television | 394 | 53.5 | 21 | 53.9 | 84 | 50.3 | 2 | 25.0 | 93 | 45.6 | 41 | 69.5 | 75 | 53.6 | 70 | 64.2 | .003 |
| Telecommunication with friends | 322 | 43.8 | 14 | 35.9 | 71 | 42.5 | 5 | 62.5 | 80 | 39.2 | 25 | 42.4 | 67 | 47.86 | 57 | 52.3 | .227 |
| nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | nb | Percentage | ||
| Belief that future guidelines are needed | |||||||||||||||||
| Yes | 710 | 94.7 | 38 | 97.4 | 160 | 93.6 | 8 | 100.0 | 190 | 92.7 | 58 | 95.1 | 139 | 97.9 | 107 | 94.7 | .418 |
| No | 8 | 1.1 | 0 | 0.0 | 4 | 2.3 | 0 | 0.0 | 2 | 1.0 | 0 | 0.0 | 0 | 0.0 | 2 | 1.8 | .448 |
| Unsure | 32 | 4.3 | 1 | 2.6 | 7 | 4.1 | 0 | 0.0 | 13 | 6.3 | 3 | 4.9 | 3 | 2.1 | 4 | 3.5 | .583 |
| Most effective method for hospital updates | |||||||||||||||||
| Internet webinar | 379 | 48.8 | 18 | 40.9 | 96 | 45.1 | 4 | 50.0 | 95 | 39.3 | 29 | 37.7 | 55 | 36.2 | 77 | 53.1 | .068 |
| 486 | 62.6 | 20 | 45.5 | 69 | 32.4 | 8 | 100.0 | 166 | 68.6 | 30 | 39.0 | 125 | 82.2 | 60 | 41.4 |
| |
| Text message | 223 | 28.7 | 19 | 43.2 | 81 | 38.0 | 5 | 62.5 | 37 | 15.3 | 21 | 27.3 | 20 | 13.2 | 37 | 25.5 |
|
| Flyers | 49 | 6.3 | 7 | 15.9 | 17 | 8.0 | 1 | 12.5 | 8 | 3.3 | 7 | 9.1 | 1 | 0.7 | 8 | 5.5 |
|
| Automated phone calls | 43 | 5.5 | 11 | 25.0 | 19 | 8.9 | 0 | 0.0 | 3 | 1.2 | 7 | 9.1 | 0 | 0.0 | 3 | 2.1 |
|
| Social media outlets | 218 | 28.1 | 19 | 43.2 | 78 | 36.6 | 2 | 25.0 | 33 | 13.6 | 37 | 48.1 | 11 | 7.2 | 36 | 24.8 |
|
| Perceived impact in 1 year | |||||||||||||||||
| No change | 133 | 17.7 | 5 | 12.8 | 24 | 14.0 | 3 | 37.5 | 47 | 22.8 | 7 | 11.5 | 30 | 21.1 | 16 | 14.2 | .068 |
| Heighted awareness of hygiene | 435 | 57.9 | 26 | 66.7 | 114 | 66.7 | 5 | 62.5 | 93 | 45.2 | 43 | 70.5 | 85 | 59.9 | 60 | 53.1 |
|
| Increase use of PPE | 344 | 45.8 | 25 | 64.1 | 90 | 52.6 | 3 | 37.5 | 94 | 45.6 | 31 | 50.8 | 41 | 28.9 | 56 | 49.6 |
|
| Ask patients to reschedule if sick | 285 | 38.0 | 15 | 38.5 | 75 | 43.9 | 3 | 37.5 | 85 | 41.3 | 17 | 27.9 | 46 | 32.4 | 38 | 33.6 | .180 |
| Increase nonoperative measures prior to surgery | 150 | 20.0 | 7 | 18.0 | 49 | 28.7 | 1 | 12.5 | 41 | 19.9 | 15 | 24.6 | 13 | 9.2 | 22 | 19.5 |
|
| Increase digital options for communication | 314 | 41.8 | 14 | 35.9 | 55 | 32.2 | 4 | 50.0 | 93 | 45.2 | 22 | 36.1 | 87 | 61.3 | 38 | 33.6 |
|
| How likely to attend a conference in 1 year | |||||||||||||||||
| Likely | 496 | 66.3 | 26 | 66.7 | 91 | 53.5 | 5 | 62.5 | 151 | 73.3 | 41 | 67.2 | 101 | 71.6 | 74 | 66.1 |
|
| Not likely | 55 | 7.4 | 1 | 2.6 | 16 | 9.4 | 0 | 0.0 | 13 | 6.3 | 3 | 4.9 | 9 | 6.4 | 11 | 9.8 | .526 |
| Unsure | 197 | 26.3 | 12 | 30.8 | 63 | 37.1 | 3 | 37.5 | 42 | 20.4 | 17 | 27.9 | 31 | 22.0 | 27 | 24.1 |
|
| Timeframe to resume elective surgery | |||||||||||||||||
| <2 Weeks | 31 | 3.9 | 0 | 0.0 | 14 | 7.5 | 1 | 12.5 | 6 | 2.7 | 2 | 3.0 | 0 | 0.0 | 8 | 6.5 |
|
| 2-4 Weeks | 136 | 16.9 | 4 | 10.0 | 39 | 21.0 | 0 | 0.0 | 23 | 10.3 | 15 | 22.4 | 20 | 13.8 | 32 | 25.8 |
|
| 1-2 Months | 127 | 15.8 | 3 | 7.5 | 22 | 11.8 | 1 | 12.5 | 29 | 13.0 | 3 | 4.5 | 51 | 35.2 | 15 | 12.1 |
|
| >2 Months | 33 | 4.1 | 0 | 0.0 | 7 | 3.8 | 1 | 12.5 | 9 | 4.0 | 0 | 0.0 | 11 | 7.6 | 5 | 4.0 | .109 |
| No current stoppage | 85 | 10.6 | 7 | 17.5 | 45 | 24.2 | 0 | 0.0 | 9 | 4.0 | 3 | 4.5 | 3 | 2.1 | 17 | 13.7 |
|
| Unknown | 392 | 48.8 | 26 | 65.0 | 59 | 31.7 | 5 | 62.5 | 147 | 65.9 | 44 | 65.7 | 60 | 41.4 | 47 | 37.9 |
|
| Anticipated number of weeks to resume baseline activity | |||||||||||||||||
| <2 Weeks | 96 | 12.7 | 5 | 12.8 | 35 | 20.2 | 0 | 0.0 | 18 | 8.6 | 5 | 8.3 | 20 | 14.0 | 11 | 9.5 |
|
| 2-4 Weeks | 177 | 23.3 | 12 | 30.8 | 53 | 30.6 | 2 | 25.0 | 37 | 17.7 | 17 | 28.3 | 35 | 24.5 | 19 | 16.4 |
|
| 4-6 Weeks | 177 | 23.3 | 9 | 23.1 | 38 | 22.0 | 2 | 25.0 | 48 | 23.0 | 19 | 31.7 | 26 | 18.2 | 33 | 28.5 | .386 |
| 6-8 Weeks | 108 | 14.2 | 6 | 15.4 | 19 | 11.0 | 1 | 12.5 | 34 | 16.3 | 7 | 11.7 | 18 | 12.6 | 21 | 18.1 | .630 |
| >8 Weeks | 201 | 26.5 | 7 | 18.0 | 28 | 16.2 | 3 | 37.5 | 72 | 34.5 | 12 | 20.0 | 44 | 30.8 | 32 | 27.6 |
|
| Percentage telecommunication clinical visits per week | |||||||||||||||||
| 0-25 | 398 | 50.0 | 24 | 58.5 | 112 | 60.5 | 3 | 37.5 | 113 | 50.7 | 35 | 53.0 | 31 | 21.7 | 75 | 60.5 |
|
| 26-50 | 118 | 14.7 | 8 | 19.5 | 35 | 18.9 | 3 | 37.5 | 19 | 8.5 | 18 | 27.3 | 18 | 12.6 | 15 | 12.1 |
|
| 51-75 | 77 | 9.6 | 4 | 9.8 | 14 | 7.6 | 0 | 0.0 | 22 | 9.9 | 5 | 7.6 | 19 | 13.3 | 13 | 10.5 | .632 |
| 76-100 | 208 | 26.0 | 5 | 12.2 | 24 | 13.0 | 2 | 25.0 | 69 | 30.9 | 8 | 12.1 | 75 | 52.5 | 21 | 16.9 |
|
| Interest in online spine education | |||||||||||||||||
| Very interested | 318 | 42.5 | 16 | 41.0 | 66 | 38.8 | 3 | 37.5 | 83 | 40.3 | 28 | 45.9 | 52 | 36.6 | 65 | 58.0 |
|
| Interested | 300 | 40.1 | 15 | 38.5 | 76 | 44.7 | 4 | 50.0 | 81 | 39.3 | 26 | 42.6 | 59 | 41.6 | 35 | 31.3 | .439 |
| Somewhat interested | 131 | 17.5 | 8 | 20.5 | 35 | 20.6 | 1 | 12.5 | 45 | 21.8 | 6 | 9.8 | 27 | 19.0 | 7 | 6.3 |
|
| Not interested | 23 | 3.1 | 1 | 2.6 | 3 | 1.8 | 0 | 0.0 | 6 | 2.9 | 1 | 1.6 | 7 | 4.9 | 5 | 4.5 | .675 |
a Calculation of P values was performed using ANOVA, χ2, and Fisher exact tests. Bolded values indicate statistical significance at P < .05.
b Number of respondents/votes.