METHODS
An anonymous online questionnaire survey was created to evaluate levels of depression, anxiety, and
secondary trauma among Turkish Radiation Oncologists. The survey included demographics and occupational
status, Secondary Traumatic Stress Scale (STSSS), The Beck Depression Inventory (BDI), The
Beck Anxiety Inventory (BAI), and State-Trait Anxiety Inventory (STAI).
RESULTS
Seventy-two respondents provided the power of about 91.4% for the significance level of 0.05. The variance
homogeneity was checked by the Levene test, the effect of COVID-19 on psychology is higher
in the group of >19 (9.02±0.820), as well as the effect of social isolation (8.02±1.622), the STSS scores
(34.28±9.062), the STAIS scores (60.46±5.296), the STAIT scores (82.21±9.298), the BDI scores
(22.68±2.788), and the BAI scores (21.04±9.321). The multiple regressions to estimate BDI revealed statistically
significant effects in STAIS, BAI, and STAIT. There is a significant correlation between STSS,
STAIS, STAIT, BDI, BAI, the effect of COVID-19 on psychology, and the effect of social isolation.
CONCLUSION
We have established one of the first studies demonstrating the effects of COVID-19 pandemic on depression,
anxiety levels, and secondary trauma on a special physician population, the Radiation Oncologists,
who specifically do not directly take part in COVID19 management.
Keywords: Anxiety; depression; radiation oncology; secondary trauma
Cancer patients are considered as a high-risk group
for COVID-19 pandemic, both in terms of being easily
infected and having a severe infection due to immunosuppression
caused by cancer and related treatments.
Regarding their comorbid conditions, they tend to
need intensive care unit when they are infected with
COVID-19.[
In terms of the fact that; whose patients were regarded
as a high risk in terms of COVID-19 infection
and because the COVID-19 virus blocks access to immediate
cancer treatments has brought the necessity
of radiation oncologists to deal with double problems.
Although there have been numerous studies which investigated
the psychological status of the health care
professionals,[
In the present study, we aimed to investigate the
anxiety, depression, and secondary trauma levels of radiation
oncologists.
Preliminary Data on the Participants
We questioned participants" demographics and occupational
status. Five additional questions were also presented
to participants to answer (Appendix).
Scales
The beck depression inventory (BDI)
The beck anxiety inventory (BAI)
State-trait anxiety inventory (STAI)
Statistical Analysis
Secondary traumatic stress scale (STSSS)
STSSS measured the STSS symptoms. STSSS is 17
items. It measures the frequency of STSS symptoms
within 17 items.[
BDI is created by Beck et al.,[
The BAI contains 21 items that assess the severity of
clinical anxiety symptoms experienced by patients in
the past month. Patients will rate each symptom on a
four-point Likert scale in increasing severity, from 0
(not at all) to 3 (severe). The global score is an arithmetic
summation of the ratings across all 21 symptoms
and ranges from 0 to 63.[
The STAI, which was developed by Spielberger, is a
self-report scale consisting of two sub-scales that measure
state and trait anxiety (STAIS and STAIT, respectively,
in this work),[
Statistical analyses were done by G*Power version 3.1
and SPSS version 23.0. For the descriptive statistics, the
central tendencies and distributions of the variables are
given. According to the cut-off points of BDI, another variable was defined. This variable has two groups.
One of them is ≤19 and the other one is >19. For the
comparison of mean, The normality assumption of
parametric tests was checked with the Shapiro-Wilk
test according to the BDI groups. When the assumption
was satisfied, two-independent sample t-test was
used to compare two groups. In non-parametric tests,
Chi-square analysis was used to look for the difference
between categorical variables. Depend on the normality
assumption for correlation analysis; Pearson"s
coefficient of correlation was used. Step-wise multiple
regressions were used to determine which potential
dependent variables that affect the independent variables.
This is the technique that also the elimination
of the non-significant dependent variables. All of the
assumptions of the regression were checked: The linear
relationship between the independent and dependent
variables, the mean of residuals is zero, normality of
residuals, no multicollinearity, no autocorrelation of
residuals and homoscedasticity of residuals or equal
variance. 0.01 and 0.05 as a level of error probabilities
(p-value) were used.
Descriptive data are shown in Table
The correlation between STSS, STAIS, STAIT, BDI,
and BAI, the effect of COVID-19 on psychology and
the effect of social isolation is shown in Table 3. Overall,
the effect of social isolation-the effect of COVID-19
on psychology, STAIS-the effect of COVID-19 on psychology,
the effect of COVID-19 on psychology-BDI,
the effect of COVID-19 on psychology-BAI, the effect
of social isolation-STAIS, the effect of social isolation-
BDI, and the effect of social isolation-BAI, STAIS-BDI,
STAIS-BAI, and BDI-BAI have significant correlations
(p<0.01). The correlations are positive and between
0.431 and 0.819. On the other hand, there are no negative
correlations (Table
In the multiple regressions are tried to estimate BDI
in Table
There have been numerous studies investigating the psychological consequences of COVID-19 pandemics on health workers.[5-9] In a recent meta-analysis which conducted the psychosocial effects of pandemics on healthcare workers showed that being younger, being more junior, being the parents of dependent children, or having an infected family member, longer quarantine, lack of practical support, and stigma also were risk factors for psychological distress in health-care professionals who worked during pandemic.[21] The COVID- 19 studies included in this meta-analysis focused on healthcare workers, and there is not any study which investigated the psychological effects of COVID-19 on radiation oncologists. In our study, we found that an increased percentage of depression among radiation oncologists compared with the normal population. Moreover, the depression group had significantly higher scores in terms of anxiety and secondary trauma.
In the present study, the majority of participants did not work actively in a pandemic clinic. However, the rate of depressive status was found to be higher compared with the normal population. Second, the radiation oncologists who had scored >19 on BDI were found to have significantly higher scores on BAI, STAIS, STAIT, and STSSS. The STSS was taken interest during two decades to define stress acquired by helping professionals who look after traumatic patients. STSS was described as "stress resulting from helping or wanting to help a traumatized or suffering person."[22] The concept of trauma is not restricted by directly experiencing threatening assault; it also includes witnessing, observing, learning, and hearing about traumatic events.[23] Regarding our results, radiation oncologists can suffer from the situation of the vulnerable status of their patients during this process. Some of the previous studies reported that working in a pandemic clinic is a severe risk factor for psychological disturbances in healthcare workers.[21] As a result, the higher percentage of depression and anxiety levels can be associated with secondary trauma in radiation oncologists beside the acceptable risk factors for developing anxiety and depression during pandemic conditions.
Our study has several limitations. The present study is based on an online survey, and we could not assess participants face to face. However, this limitation is related to the outbreak condition. Another limitation is that self-reported scales for anxiety, depression, and stress are not sufficient for making a psychiatric diagnosis. There is no specific scale for COVID-19; thus, we created simple questions about the knowledge and effects of the psychological status of COVID-19 pandemic, which can be regarded as subjective.
Peer-review: Externally peer-reviewed.
Conflict of Interest: All authors declared no conflict of interest.
Ethics Committee Approval: The study was approved by the Koc University Ethics Committee (No: 2020.111. IRB1.022, Date: 25/03/2020).
Financial Support: None declared.
Authorship contributions: Concept - N.K.D., Y.B.; Design - N.K.D., Y.B., Y.A.; Supervision - D.S., Ş.Ş., E.Y.A., E.T., U.S.; Funding - N.K.D.; Materials - N.K.D., Ş.Ş., E.Y.A.; Data collection and/or processing - N.K.D., Y.B., Y.A.; Data analysis and/or interpretation - N.P.; Literature search - N.K.D., Y.B., Y.A.; Writing - N.K.D., Y.B.; Critical review - N.K.D., Y.B., Y.A.