Abstract 320P
Background
Patients newly diagnosed with malignancies amidst the COVID19 pandemic outbreak face the psychological double whammy of a gruesome diagnosis and a public health crisis. We conducted a cross-sectional survey to examine the association between common psychological disorders and cancer patients’ perception of COVID19’s real-life impact.
Methods
Newly diagnosed cancer patients were surveyed with a two-part questionnaire constructed by oncologists and clinical psychologists. It first explored patients’ perceptions of pandemic’s impact on cancer care resources, treatment quality, health-seeking behaviour and other concerns. The second part involved the measurement of post-traumatic stress disorder (PTSD) (abbreviated PCL-5), anxiety and depression (emotion thermometer) and intolerance to uncertainty (IUS12), where patients were assigned into high and low-risk groups accordingly. Their associations were observed and analysed using chi-square test.
Results
103 new cancer patients in Hong Kong were surveyed in May 2020. Results revealed there were more worries about the impact of COVID19 on cancer care manpower, and secondly about risk of infection during OPD waiting time, in patients of high risk group for PTSD (p= 0.011; p=0.015 respectively), anxiety (p=0.013; p=0.034), depression (p=0.017; p=0.043) and uncertainty tolerance (p=0.004; p=0.044). High IUS12 score was associated with more worry on pandemic’s impact on progress of cancer research and drug development (p=0.03). Patients of the high anxiety risk group were less likely to accept hospital’s “no visitor” policy during admission (p=0.013). High-risk group for anxiety (p=0.024) and depression (p=0.044) tend to consider the availability of media information on COVID19’s impact on cancer as inadequate. Patients of high PTSD risk group showed greater fear of being infected by family/carers (p=0.005).
Conclusions
This original survey revealed the potential value of psychometrics in understanding cancer patient’s perception of COVID19’s impact and predicting particular concerns in patients with different psychological phenotypes, allowing better-tailored pandemic time cancer care.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Kowloon Central Cluster Research Committee Research Grant 20/21, Hospital Authority, Hong Kong, China.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
243P - Target sequencing of 508 genes in Chinese epithelial ovarian cancer patients
Presenter: Li Lei
Session: e-Poster Display Session
244P - Optimization of early diagnostics of cervical intraepitelial neoplasies and cervical cancer
Presenter: Zakhirova Nargiza
Session: e-Poster Display Session
245P - Clinicopathological features including response to platinum-based chemotherapy in endometrial carcinomas involving SWI/SNF complex inactivation.
Presenter: Izumi Tanimoto
Session: e-Poster Display Session
246P - Impact of genetically predicted elevated concentrations of C-reactive protein on ovarian cancer risk: A Mendelian randomization study
Presenter: Haoxin Peng
Session: e-Poster Display Session
247P - The role of p53 gene suppressor and bcl-2 oncoprotein in non-epithelial ovarian tumor prognosis determination among child and adolescent patients
Presenter: Anvar Shukullaev
Session: e-Poster Display Session
248P - The effect of progesterone on ALA-based PDT efficacy in uterine sarcoma cells
Presenter: Ellie Chu
Session: e-Poster Display Session
249P - A Retrospective Study on the Treatment Response of Locally Advanced Cervical Cancer Patients to Combination Chemoradiotherapy
Presenter: Siti Nabihah Sahralidin
Session: e-Poster Display Session
250P - Health-related Quality of Life in Women with Cervical Cancer
Presenter: Almagul Zhabagina
Session: e-Poster Display Session
251P - Tendency of morbidity and mortality in cervical cancer in the last 10 years in the Republic of Uzbekistan
Presenter: Mirzagaleb Tillyashaykhov
Session: e-Poster Display Session
252P - Secondary data analysis of newly diagnosed advanced ovarian cancer in South Korea
Presenter: Soo Young Jeong
Session: e-Poster Display Session