Literature DB >> 32502830

Psychological and coping responses to COVID-19 amongst residents in training across ACGME-I accredited specialties in Singapore.

Qian Hui Chew1, Faith Li-Ann Chia2, Wee Khoon Ng3, Wan Cheong Ivan Lee4, Pei Lin Lynnette Tan5, Chen Seong Wong6, Ser Hon Puah7, Vishalkumar G Shelat8, Ee-Jin Darren Seah9, Cheong Wei Terence Huey10, Eng Joo Phua11, Kang Sim12.   

Abstract

Entities:  

Year:  2020        PMID: 32502830      PMCID: PMC7254004          DOI: 10.1016/j.psychres.2020.113146

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


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Dear Editor, Previous studies examining psychological responses to past infectious disease outbreaks such as the Severe Acute Respiratory Syndrome (SARS) have demonstrated relatively high psychological morbidity amongst healthcare workers (Phua et al., 2005; Sim et al., 2004). Residents in training form a significant proportion of healthcare staff responding to the COVID-19 pandemic internationally. However data are sparse on the psychological impact of infectious disease outbreaks on residents. It is unclear how factors such as seniority in residency and exposure to high-risk areas affect their psychological and coping responses during the current pandemic. An understanding of COVID-19-related psychological outcomes could highlight areas where better psychological support can be provided for our residents. Our study aimed to examine the psychological responses (levels of perceived stress, traumatic stress symptoms, and perceived stigma) amongst our residents, explore associated factors of these psychological responses, and coping strategies used. All residents from the US Accreditation Council for Graduate Medical Education International (ACGME-I) accredited National Healthcare Group (NHG) Residency in Singapore were invited to participate in this online survey (approved by NHG Institutional Review Board 2020/00220) during a 5-week period (5th of March 2020 until 10th April 2020). This included residents from 27 specialties, grouped into medical (medical specialties, family medicine, radiology), surgical disciplines (surgery, anaesthesia, emergency medicine), and psychiatry. The study instrument comprised four main outcome rating scales and socio-demographic details. The Perceived Stress Scale (PSS), Impact of Event Scale-Revised (IES-R), Healthcare Workers Stigma Scale (HWSS), and Brief COPE questionnaire were used to assess the level of perceived stress, traumatic stress, perceived stigma, and type and frequency of coping strategies employed by residents respectively. Independent samples t-test and chi-square tests were used to explore differences between groups (seniority and deployment to high risk area). Our cohort was split into residents in junior (1st 3 years) and senior years (4th year onwards) of training, henceforth termed junior and senior residents respectively. As a sizeable proportion of our residents has been deployed to clinical areas outside their usual work scope and to safeguard anonymity, we specifically examined mental health outcomes related to deployment to a high risk area (such as the National Centre of Infectious Diseases which sees the majority of suspected cases of COVID-19 infection within the country) and not by individual specialty. Multivariate linear regression analyses were used to examine predictors of our outcome variables of interest (level of perceived stress, traumatic stress symptoms, perceived stigma), while controlling for variables such as gender, marital status, and living arrangement. Of the 274 participants (response rate of 49.2%), junior (61.7%) and senior (38.3%) residents did not differ on any of the main outcome measures. Those deployed to high risk areas (N=81, 29.6%) were more likely to be working in areas outside their usual job scope (75.3% vs 14.0 %, x2= 98.40, p < 0.001), and had lower PSS scores (26.74+/- 6.67 vs 28.74+/-6.54, t = 2.29, p=0.023) than those who were not deployed. Multivariate linear regression analyses (Table 1 ) revealed that residents with higher PSS scores were associated with higher perceived stigma level (B = 0.20, 95% CI = 0.08–0.32, p=0.001), more frequent use of avoidance (B = 6.90, 95% CI = 4.80–8.99, p < 0.001), and less frequent use of positive thinking (B = -2.84, 95% CI = -4.40– -1.28, p <0.001). Residents with greater traumatic stress symptoms had more frequent use of avoidance (B = 19.68, 95% CI = 15.72–23.65, p < 0.001) and higher levels of perceived stigma (B = 0.43, 95% CI = 0.21–0.66, p < 0.001). Residents with higher perceived stigma level also had more frequent use of avoidance (B = 4.10, 95% CI = 1.49–6.72, p= 0.002) and greater traumatic stress symptoms (B = 0.11, 95% CI = 0.03–0.18, p= 0.008).
Table 1

Risk Factors for Mental Health Outcomes Amongst Residents in Training.

Bβ95% CI for Bp Value
PSS, stress
Females (vs. males)0.7300.056-0.664 – 2.1250.303
Seniors (vs. juniors)-0.133-0.010-1.562 – 1.2960.855
Married (vs. single)-0.146-0.011-1.536 – 1.2440.836
Living with others (vs. alone)-1.315-0.056-3.803 – 1.1720.299
Exposed to patients with respiratory illness-0.219-0.014-1.914 – 1.4760.799
Deployed to NCID-2.201-0.152-3.748 – -0.6540.005
COPE Social Support0.6030.053-1.112 – 2.3190.489
COPE Problem Solving0.1140.012-1.414 – 1.6430.883
COPE Avoidance6.8950.4514.803 – 8.986< 0.001
COPE Positive Thinking-2.840-0.256-4.399 – -1.282< 0.001
HCWS total score0.1970.2030.077 – 0.3170.001
IES-R, PTS symptoms
Females (vs. males)-0.569-0.020-3.211 – 2.0740.672
Seniors (vs. juniors)0.3970.013-2.311 – 3.1050.773
Married (vs. single)0.3120.011-2.322 – 2.9460.816
Living with others (vs. alone)1.2490.024-3.465 – 5.9630.602
Exposed to patients with respiratory illness1.2760.036-1.935 – 4.4870.434
Deployed to NCID-1.847-0.058-4.778 – 1.0840.216
COPE Social Support1.5910.063-1.659 – 4.8420.336
COPE Problem Solving0.7280.033-2.168 – 3.6230.621
COPE Avoidance19.6840.58415.722 – 23.647< 0.001
COPE Positive Thinking-1.617-0.066-4.570 – 1.3360.282
HCWS total score0.4340.2030.206 – 0.662< 0.001
HCWS, Stigma
Females (vs. males)0.5230.039-0.950 – 1.9960.485
Seniors (vs. juniors)-1.037-0.075-2.536 – 0.4620.174
Married (vs. single)-0.782-0.058-2.243 – 0.6780.292
Living with others (vs. alone)1.4230.059-1.201 – 4.0480.286
Exposed to patients with respiratory illness0.2150.013-1.573 – 2.0030.813
Deployed to NCID0.6980.047-0.957 – 2.3520.407
COPE Social Support0.9930.085-0.813 – 2.7980.280
COPE Problem Solving0.3040.030-1.306 – 1.9130.710
COPE Avoidance4.1040.2611.493 – 6.7160.002
COPE Positive Thinking-0.299-0.026-1.986 – 1.3880.727
PSS total score0.1430.139-0.005 – 0.2910.059
IES-R total score0.1050.2250.028 – 0.1830.008

Abbreviations: COPE = Brief COPE Inventory; HCWS = Healthcare Workers’ Stigma Scale; IES-R = Impact of Event Scale-Revised; NCID = National Center for Infectious Diseases; PSS = Perceived Stress Scale; PTS = Post-traumatic stress

Risk Factors for Mental Health Outcomes Amongst Residents in Training. Abbreviations: COPE = Brief COPE Inventory; HCWS = Healthcare Workers’ Stigma Scale; IES-R = Impact of Event Scale-Revised; NCID = National Center for Infectious Diseases; PSS = Perceived Stress Scale; PTS = Post-traumatic stress First, no differences were found between junior and senior residents in terms of psychological and coping responses to the pandemic which could be explained by the similar training in infection prevention and control (IPC) measures that both resident groups received in the course of their daily work. Also, a pandemic of this scale is a novel situation and regardless of seniority, all residents are faced with unprecedented circumstances. Second, those deployed to high-risk areas (NCID) had lower perceived stress levels and this relates to the level of psychological preparedness in those deployed to high-risk areas. Those deployed to NCID are aware that they will be screening and managing patients with suspected or confirmed COVID-19 infection in a well-equipped facility with ample staff support and training. In the group of residents who have not been deployed to high-risk areas, the anticipatory anxiety about changes in medical deployment due to rapidly evolving ground needs could have contributed to higher stress levels. Third, higher perceived stigma level was associated with higher levels of perceived stress and post-traumatic stress symptoms. This could be explained by increased self-conscious emotions as a result of stigma (Tracey and Robins, 2004). Stigma could also be a trigger for past negative experiences or memories related to the outbreak. Fourth, avoidance as a coping strategy was associated with higher levels of perceived stress, traumatic stress symptoms, and perceived stigma. Conscious efforts invested in the employment of avoidance as a coping strategy could paradoxically result in greater stress and emotional exhaustion (Maunder et al., 2004; Marjanovic et al., 2007). The internalization of stigma could also reinforce their avoidant behavior and social isolation (Gee and Skovdal, 2018) and further contribute to traumatic stress symptoms especially when triggered by negative reactions from others. There are several practical applications that are generalizable across residency training programs. First, residents can be psycho-educated about the possible range of psychological responses during the COVID-19 pandemic and adaptive coping strategies that can be used. Second, the importance of self-care should be emphasized (e.g adequate sleep, maintaining social connections, work-life balance). Third, residency programs and healthcare institutions should work together to identify sources of stigma such as public attitudes towards the pandemic, and seek to counter them through public education efforts. Fourth, healthcare institutions and residency programs should also demonstrate their long-term commitment to the well-being of residents in tangible ways (e.g obtaining resident feedback, maintaining constant communication, providing psychological help). This is particularly important given the likelihood of the COVID-19 pandemic being a long-drawn one. There are several limitations in our study. Our current study employed a cross-sectional design, which limits our ability to establish causality amongst the variables. Further examination of the psychological impact within our residents in training over time could shed light on the longitudinal trends of psychosocial responses at different phases of the current pandemic. Second, we did not examine other factors such as intercurrent stressors (e.g. life events) or personality characteristics, which can also affect the psychological responses shared within the study. In conclusion, with residents forming a sizable proportion of frontline healthcare workers in the current COVID-19 pandemic, initiatives to raise awareness of psychological and coping responses, emphasize self-care, address issues of stigma, and provide access to resources for help can enhance psychological support for our residents in training. Declaration of Competing Interest: All authors declare no competing interest. QHC, FLC, WKN, WCIL, PLLT, CSW, SHP, VGS, EJDS, CWTH, EJP, KS were involved in the conception and design, acquisition of data, analysis and interpretation of the data, drafting of the paper and revising the article critically for important intellectual content.

CRediT authorship contribution statement

Qian Hui Chew: Data curation, Project administration, Writing - original draft. Faith Li-Ann Chia: Funding acquisition, Project administration, Resources, Supervision. Wee Khoon Ng: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - review & editing. Wan Cheong Ivan Lee: Project administration. Pei Lin Lynnette Tan: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - review & editing. Chen Seong Wong: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - review & editing. Ser Hon Puah: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - review & editing. Vishalkumar G Shelat: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - review & editing. Ee-Jin Darren Seah: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - review & editing. Cheong Wei Terence Huey: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - review & editing. Eng Joo Phua: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing - review & editing. Kang Sim: Data curation, Funding acquisition, Project administration, Resources, Supervision, Writing - original draft.

Declaration of Competing Interests

All authors declare no competing interest.
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