| Literature DB >> 32852291 |
Jane Yuet Ching Hui1, Jianling Yuan2, Deanna Teoh3, Lauren Thomaier3, Patricia Jewett4, Heather Beckwith4, Helen Parsons5, Emil Lou4, Anne H Blaes4, Rachel I Vogel3.
Abstract
OBJECTIVES: The coronavirus disease 2019 (COVID-19) has significantly impacted health care delivery across the United States, including treatment of cancer. We aim to describe the determinants of treatment plan changes from the perspective of oncology physicians across the United States during the COVID-19 pandemic.Entities:
Mesh:
Year: 2020 PMID: 32852291 PMCID: PMC7513953 DOI: 10.1097/COC.0000000000000757
Source DB: PubMed Journal: Am J Clin Oncol ISSN: 0277-3732 Impact factor: 2.339
FIGURE 1Flow diagram of survey respondents.
Physician Demographics and Clinical Practice Characteristics (N=411)
| Characteristic | N | Mean±SD |
|---|---|---|
| Age (y) | 324 | 45.9±9.5 |
| Years in practice | 343 | 12.9±10.0 |
| N (%) | ||
| Sex | ||
| Male | 139 (36.0) | |
| Female | 244 (63.2) | |
| Nonbinary sex identification | 3 (0.8) | |
| Missing | 25 | |
| Race/ethnicity | ||
| White, non-Hispanic | 258 (74.1) | |
| Asian Indian | 37 (10.6) | |
| Chinese | 17 (4.9) | |
| Hispanic | 12 (3.5) | |
| Other | 24 (6.9) | |
| Missing | 63 | |
| Medical specialty | ||
| Surgery | 241 (58.6) | |
| Medical oncology | 106 (25.8) | |
| Radiation oncology | 64 (15.6) | |
| Clinical work | ||
| Yes—full time | 358 (92.8) | |
| Yes—part time | 27 (7.0) | |
| No | 1 (0.3) | |
| Missing | 25 | |
| Academic practice | ||
| No | 175 (45.5) | |
| Yes | 210 (54.6) | |
| Missing | 26 | |
| Hospital size | ||
| Small hospital (fewer than 100 beds) | 31 (8.0) | |
| Medium hospital (100-499 beds) | 167 (43.3) | |
| Large hospital (500 or more beds) | 175 (45.3) | |
| Ambulatory clinic only (no inpatients) | 13 (3.4) | |
| Missing | 25 | |
| Community size | ||
| Rural area | 18 (5.0) | |
| Small city or town | 80 (22.4) | |
| Suburb near a large city | 90 (25.2) | |
| Large city | 169 (47.3) | |
| Missing | 54 | |
| Cancers treated ( | ||
| Bone | 37 (10.4) | |
| Breast | 220 (61.6) | |
| Colorectal | 161 (45.1) | |
| Genitourinary | 67 (18.8) | |
| Gynecologic | 55 (15.4) | |
| Head and neck | 85 (23.8) | |
| Hematologic | 115 (32.2) | |
| Hepatopancreaticobiliary | 83 (23.3) | |
| Lung | 158 (44.3) | |
| Skin and soft tissue | 74 (20.7) | |
| Other | 64 (17.9) | |
| Missing | 54 | |
| Number of confirmed COVID-19 cases in state of clinical practice* | ||
| 101-500 | 13 (3.5) | |
| 501-1000 | 78 (21.2) | |
| 1001-5000 | 140 (38.0) | |
| 5001 or more | 137 (37.2) | |
| Missing (did not provide state of clinical practice) | 43 | |
| Adequate PPE for clinical practice | ||
| No | 176 (43.0) | |
| Yes | 233 (57.0) | |
| Missing | 2 | |
*As of April 3, 2020.
COVID-19 indicates coronavirus disease 2019; PPE, personal protective equipment.
Self-reported Reasons for Having Already Made Cancer Treatment Plan Changes During the COVID-19 Pandemic by Medical Specialty (N=282)*
| N (%) | ||||
|---|---|---|---|---|
| Reasons for Altering Treatment Plans ( | Surgeons (N=168) | Medical Oncologists (N=67) | Radiation Oncologists (N=47) | |
| Personal concern about my patients’ exposure risk | 116 (69.1) | 61 (91.0) | 37 (78.7) | |
| Personal concern about exposure risks to other hospitalized patients | 63 (37.5) | 20 (29.9) | 22 (46.8) | 0.18 |
| Personal concern about hospital staff and health care worker exposure risk | 86 (51.2) | 27 (40.3) | 29 (61.7) | 0.08 |
| Personal concern about blood bank shortages | 23 (13.7) | — | — | — |
| Desire to conserve PPE at my institution | 114 (67.9) | 7 (10.5) | 12 (25.5) | |
| Divisional or departmental mandate due to COVID-19 | 95 (56.6) | 32 (47.8) | 18 (38.3) | 0.07 |
| Institutional mandate due to COVID-19 | 120 (71.4) | 23 (34.3) | 12 (25.5) | |
| Surgeon General or professional medical organization recommendation | 124 (73.8) | 23 (34.3) | 24 (51.1) | |
| Closure of patient and family accommodations due to COVID-19 | 4 (2.4) | 10 (14.9) | 6 (12.8) | |
| New strict visitor policy due to COVID-19 | 23 (13.7) | 18 (26.9) | 16 (34.0) | |
| Patient transportation concerns due to COVID-19 | — | 15 (22.4) | 11 (23.4) | — |
Bold values indicate statistical significance (P<0.05).
*Respondents were asked to select all that apply.
COVID-19 indicates coronavirus disease 2019; PPE, personal protective equipment.
Physician Demographic and Practice Characteristics Associated With Altering Cancer Treatment Plans During the COVID-19 Pandemic (N=400)
| “Have You Had to Cancel/Postpone/Alter Surgery/Chemotherapy/Radiation Therapy?”* | “Yes” (N=282) | “No But Plan to Reassess” (N=118) | |||
|---|---|---|---|---|---|
| Characteristic | N | Mean±SD | N | Mean±SD | |
| Age (y) | 226 | 45.3±9.3 | 90 | 46.7±9.7 | 0.24 |
| Years in practice | 244 | 12.5±11.5 | 90 | 13.7±10.4 | 0.35 |
| N (%) | N (%) | ||||
| Sex | |||||
| Male | 84 (63.2) | 49 (36.8) | |||
| Female | 182 (75.8) | 58 (24.2) | |||
| Race/ethnicity | 0.87 | ||||
| White, non-Hispanic | 184 (73.3) | 67 (26.7) | |||
| Asian Indian | 26 (70.3) | 11 (29.7) | |||
| Other | 36 (70.6) | 15 (29.4) | |||
| Medical specialty | 0.54 | ||||
| Surgery | 168 (71.5) | 67 (28.5) | |||
| Medical oncology | 67 (66.3) | 34 (33.7) | |||
| Radiation oncology | 47 (73.4) | 17 (26.6) | |||
| Academic practice | 0.76 | ||||
| No | 119 (70.4) | 50 (29.6) | |||
| Yes | 148 (71.8) | 58 (28.2) | |||
| Hospital size | 0.26 | ||||
| Small hospital (fewer than 100 beds) | 16 (55.2) | 13 (44.8) | |||
| Medium hospital (100-499 beds) | 115 (71.4) | 46 (28.6) | |||
| Large hospital (500 or more beds) | 126 (72.8) | 47 (27.2) | |||
| Ambulatory clinic only (no inpatients) | 10 (76.9) | 3 (23.1) | |||
| Community size | 0.15 | ||||
| Rural area | 8 (50.0) | 8 (50.0) | |||
| Small city or town | 52 (68.4) | 24 (31.6) | |||
| Suburb near a large city | 68 (75.6) | 22 (24.4) | |||
| Large city | 123 (74.1) | 43 (25.9) | |||
| Number of confirmed COVID-19 cases in state of clinical practice† | |||||
| 101-500 | 8 (61.5) | 5 (38.5) | |||
| 501-1000 | 46 (61.3) | 29 (38.7) | |||
| 1001-5000 | 93 (67.9) | 44 (32.1) | |||
| 5001 or more | 104 (78.2) | 29 (21.8) | |||
| Adequate PPE for clinical practice | 0.25 | ||||
| No | 128 (73.6) | 46 (26.4) | |||
| Yes | 153 (68.3) | 71 (31.7) | |||
Bold values indicate statistical significance (P<0.05).
*Eight (2%) respondents said they have not altered treatment plans and did not plan on reassessing; they were excluded from this analysis. Three respondents did not answer this question.
†As of April 3, 2020.
COVID-19 indicates coronavirus disease 2019; PPE, personal protective equipment.