| Literature DB >> 33601295 |
S Banerjee1, K H J Lim2, K Murali3, K Kamposioras4, K Punie5, C Oing6, M O'Connor7, E Thorne8, B Devnani9, M Lambertini10, C B Westphalen11, P Garrido12, T Amaral13, G Morgan14, J B A G Haanen15, C Hardy8.
Abstract
BACKGROUND: The impact of the coronavirus disease 2019 (COVID-19) pandemic on well-being has the potential for serious negative consequences on work, home life, and patient care. The European Society for Medical Oncology (ESMO) Resilience Task Force collaboration set out to investigate well-being in oncology over time since COVID-19.Entities:
Keywords: COVID-19; burnout; job performance; oncology professionals; resilience; well-being
Year: 2021 PMID: 33601295 PMCID: PMC7900705 DOI: 10.1016/j.esmoop.2021.100058
Source DB: PubMed Journal: ESMO Open ISSN: 2059-7029
Figure 1Estimated crude mortality rate18, 19 due to COVID-19 in countries where participants are working in (n = 1520 from 101 countries) during the survey period (16 April to 3 May 2020).
COVID-19, coronavirus disease.
Participant demographics (n = 1520)
| Number, | |
|---|---|
| Age (years) | |
| ≤40 | 687 (45) |
| >40 | 833 (55) |
| Gender | |
| Female | 777 (51) |
| Male | 742 (49) |
| Non-binary | 1 (0.1) |
| Ethnicity | |
| White | 1070 (70) |
| Asian | 277 (18) |
| Arab | 52 (3) |
| Mixed | 45 (3) |
| Black | 20 (1) |
| Other | 35 (2) |
| Prefer not to say | 21 (1) |
| Region of work | |
| Europe | 1020 (67) |
| Southwestern Europe | 271 (18) |
| Central Europe | 248 (16) |
| Northern Europe and British Isles | 247 (16) |
| Western Europe | 109 (7) |
| Southeastern Europe | 103 (7) |
| Eastern Europe | 42 (3) |
| Asia | 261 (17) |
| North America | 79 (5) |
| South America | 69 (5) |
| Africa | 57 (4) |
| Oceania | 33 (2) |
| Prefer not to say | 1 (0.1) |
| Primary place of work | |
| General hospital | 723 (48) |
| Cancer centre | 619 (41) |
| Private outpatient clinic | 65 (4) |
| Pharmaceutical/technology company | 36 (2) |
| Health care organisation | 18 (1) |
| Other | 59 (4) |
| Specialty | |
| Medical oncology | 1059 (70) |
| Clinical oncology | 271 (18) |
| Haemato-oncology | 123 (8) |
| Radiation oncology | 88 (6) |
| Palliative care | 86 (6) |
| Laboratory-based researcher/scientist | 53 (4) |
| Surgical oncology | 43 (3) |
| Nursing | 18 (1) |
| Other | 120 (8) |
| Trainee | |
| Yes | 333 (22) |
| No | 1187 (78) |
| Duration of training completed (years), | |
| <2 | 71 (21) |
| 2-5 | 185 (56) |
| >5 | 77 (23) |
| Post-training oncology experience (years), | |
| <5 | 249 (21) |
| 5-10 | 240 (20) |
| >10 | 688 (58) |
| | 10 (1) |
| ESMO member | |
| Yes | 1365 (90) |
| No | 155 (10) |
Southwestern Europe: Italy, Portugal, Spain; Central Europe: Austria, Czech Republic, Germany, Hungary, Poland, Romania, Slovakia, Slovenia, Switzerland; Northern Europe and the British Isles: Denmark, Finland, Norway, Republic of Ireland, Sweden, United Kingdom; Western Europe: Belgium, France, Luxembourg, The Netherlands; Southeastern Europe: Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Greece, Israel, Kosovo, Montenegro, North Macedonia, Serbia, Turkey; and Eastern Europe: Belarus, Estonia, Georgia, Latvia, Lithuania, Moldova, Russian Federation, Ukraine.
Some participants have selected two or more specialties within their job role, and proportion of representation is summarised as such.
Change in professional duties since the COVID-19 outbreak (n = 1520)
| Number, | |
|---|---|
| Change in professional duties | |
| Yes | 1024 (67) |
| No | 496 (33) |
| Nature of change in professional duties | |
| Scope of clinical work | |
| More remote (video/telephone) consultations | 744 (49) |
| Increased direct patient care | 103 (7) |
| Less inpatient work | 388 (26) |
| More inpatient work | 148 (10) |
| COVID-19 inpatient work | 206 (14) |
| Cover other oncology non-COVID-19 patients | 187 (12) |
| Cover non-oncology specialties | 168 (11) |
| Working hours and shift patterns | |
| More hours working from home | 499 (33) |
| Reduced number of hours of work | 373 (25) |
| Increased number of hours of work | 254 (17) |
| More out-of-hours work in hospital | 242 (16) |
| More weekend shifts | 175 (12) |
| More overnight shifts | 122 (8) |
| Clinical trial and research | |
| Reduced clinical trial activity | 573 (38) |
| Reduced research (nonclinical trials) activity | 443 (29) |
| COVID-19-related research | 237 (16) |
| Redeployed | |
| Yes | 87 (6) |
| Partially | 275 (18) |
| No | 1158 (76) |
| Redeployment relevant to prior training, | |
| Yes | 154 (43) |
| No | 208 (57) |
| Adequate training for redeployment, | |
| Yes | 114 (55) |
| No | 94 (45) |
COVID-19, coronavirus disease 2019.
Figure 2Key outcomes of interest reported in survey I (April/May 2020). (A) Self-reported well-being, (B) resilience, and (C) job performance since COVID-19 (JP-CV) during the COVID-19 crisis (n = 1520).
COVID-19, coronavirus disease; eWBI, expanded Well-being Index.
Figure 3Hierarchical multiple regression and multiple logistic regression analyses of predictive variables associated with (A) self-reported well-being (n = 1518), (B) job performance since COVID-19 (JP-CV) (n = 1494), and (C) burnout (n = 1494), respectively.
a Dichotomous variable (0 = no, 1 = yes; 0 = ≤ 40 years, 1 = >40 years; or 0 = white; 1 = non-white).
b Likert scale (1 = strongly disagree; 5 = strongly agree).
c Likert scale (1 = not at all; 5 = extremely).
d Bipolar scale (1 = low resilience; 9 = high resilience).
COVID-19, coronavirus disease; JP-CV, job performance since COVID-19; eWBI, expanded Well-being Index.
Figure 4Paired longitudinal comparison between survey I (April/May 2020) and survey II (July/August 2020) of key measures: (A) self-reported well-being, (B) burnout, and (C) job performance since COVID-19 (JP-CV), during the COVID-19 crisis among those who completed both surveys (n = 272).
(∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001).
COVID-19, coronavirus disease; JP-CV, job performance since COVID-19; eWBI, expanded Well-being Index.