| Literature DB >> 34955992 |
Vicky Poh Hoay Khoo1,2, Rachel Sing-Kiat Ting3, Xinli Wang4, Yuanshan Luo5, Janet Seeley6, Jason J Ong7,8, Min Zhao1, Julie Morsillo2, Chunyan Su9, Xiaoxing Fu10, Lei Zhang1,7,8,11.
Abstract
Background: Though many literatures documented burnout and occupational hazard among healthcare workers and frontliners during pandemic, not many adopted a systemic approach to look at the resilience among this population. Another under-studied population was the large numbers of global healthcare workers who have been deployed to tackle the crisis of COVID-19 pandemic in the less resourceful regions. We investigated both the mental wellbeing risk and protective factors of a deployed healthcare workers (DHWs) team in Wuhan, the epicenter of the virus outbreak during 2020. Method: A consensual qualitative research approach was adopted with 25 DHWs from H province through semi-structured interviews after 3 months of deployment period.Entities:
Keywords: COVID-19 pandemic; deployed healthcare workers; mental health; qualitative study; resilience; risk and protective factors; system
Year: 2021 PMID: 34955992 PMCID: PMC8695437 DOI: 10.3389/fpsyg.2021.773510
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Demographic characteristics of 25 study interviewees from the medical deployment team.
| Interviewee ID. | Male/Female | Age | Education Level | Profession | Healthcare experience (years) | Marital status | Living together with family |
| C01 | Male | 31–40 | Masters | Doctor | 7 | Married | Yes |
| C02 | Female | 51–60 | Masters | Nurse | 37 | Married | Yes |
| C03 | Female | 31–40 | Bachelors | Nurse | 14 | Married | Yes |
| C04 | Female | 21–30 | Bachelors | Nurse | 10 | Single | No |
| C05 | Female | 41–50 | Doctorate | Doctor | 20 | Married | Yes |
| C06 | Male | 21–30 | Diploma | Nurse | 1 | Single | No |
| C07 | Male | 21–30 | Bachelors | Nurse | 6 | Married | Yes |
| C08 | Male | 21–30 | Bachelors | Nurse | 6 | Single | No |
| C09 | Female | 31–40 | Bachelors | Nurse | 20 | Married | Yes |
| C10 | Female | 31–40 | Masters | Doctor | 9 | Married | Yes |
| C11 | Male | 31–40 | Masters | Doctor | 6 | Married | Yes |
| C12 | Female | 31–40 | Bachelors | Nurse | 10 | Single | Yes |
| C13 | Female | 31–40 | Masters | Nurse | 5 | Married | Yes |
| C14 | Male | 21–30 | Bachelors | Nurse | 5 | Married | Yes |
| C15 | Female | 21–30 | Bachelors | Nurse | 9 | Single | Yes |
| C16 | Female | 41–50 | Masters | Doctor | 21 | Married | Yes |
| C17 | Male | 41–50 | Masters | Doctor | 18 | Married | Yes |
| C18 | Male | 31–40 | Masters | Doctor | Not reported | Married | No |
| C19 | Female | 31–40 | Bachelors | Nurse | 14 | Married | Yes |
| C20 | Female | 21–30 | Bachelors | Nurse | 5 | Single | No |
| C21 | Male | 31–40 | Masters | Doctor | 12 | Married | Yes |
| C22 | Male | 31–40 | Bachelors | Nurse | 14 | Married | No |
| C23 | Female | 31–40 | Bachelors | Nurse | 9 | Married | Yes |
| C24 | Male | 21–30 | Diploma | Nurse | 3 | Single | No |
| C25 | Female | 31–40 | Bachelors | Nurse | 10 | Married | Yes |
Interview protocol.
| (1) Please describe your daily work at the frontline. |
| (2) Were there any difference between the early and later stages of deployment? (Probe: how was the deployment compared to your work back at the H hospital?) |
| (3) Please share about your interpersonal relationship and interaction during deployment? (Probe: Family/Team members/Patients) |
| (4) What were the emotional impacts brought about by the deployment? |
| (5) How did you manage emotional impacts? (Probe: were HWs provided formal psychosocial support while at the frontline?) |
| (6) Coming back from the frontline, how have you helped yourself with transitioning back to pre-deployment work and life? (Probes: What do you think others (family members, friends, colleagues) could do to help you transition back to pre-deployment work and life? What is your view on the HWs being called “COVID-19 frontline heroes”?) |
| (7) What was your greatest gain from the deployment? |
FIGURE 1Six phases of qualitative coding.
List of domains, themes and subthemes of risk factors for the well-being of the 25 interviewees.
| Domains | Themes | Frequency (%) | Subthemes |
| Working environment | 25 (100) | ||
| Inadequate frontline resources | 24 (96) | Shortages of medical supplies in the early stage | |
| Hospital bed shortages | |||
| Inadequate professional mental health support | |||
| Inadequate logistical arrangements | |||
| PPEs related problems | 24 (96) | Adverse physical effects from wearing PPEs | |
| Inconvenience at work due to wearing PPEs | |||
| No guarantee of PPEs quality | |||
| PPE overuse | |||
| High work demands | 21 (84) | Lack of adequate rest | |
| Go beyond the physical limit | |||
| High work intensity | |||
| Unfamiliar work settings | |||
| Multiple roles (beyond medical care) | |||
| Being in the leadership role | |||
| High risk of infection | 21 (84) | High rate of virus transmission | |
| Lack of knowledge about the virus (at the early stage) | |||
| Close patients contact | |||
| Other HWs being infected | |||
| Insufficient protection | |||
| Infectious surroundings | |||
| Risk of team members transmission | |||
| Suppressive frontline atmosphere | 16 (64) | Suppressive atmosphere at the hospital | |
| Suppressive atmosphere in the epicenter (Wuhan) | |||
| Intense situation | |||
| Rumors and fake news | |||
| Clinical ward interactions | 23 (92) | ||
| Negative impacts from the patients | 20 (80) | Affected by the patients’ negative emotions | |
| Negative interaction with the patient | |||
| Uncooperative patients | |||
| Poor prognosis of patients | 19 (76) | Deaths of patients | |
| Critical conditions of patients | |||
| High fatality rate | |||
| National/organizational policies | 23 (92) | ||
| Inadequate workplace pandemic control mechanism | 15 (60) | Lack of transparency about the frontline situation | |
| Ambiguity in the length of deployment | |||
| Inadequate national pandemic control effort | 15 (60) | Inconsistent information about the virus outbreak | |
| The abruptness of the deployment | |||
| Ineffective local government disease control | |||
| Uncertainties in treatment protocols from the government | 10 (40) | No cure against the virus | |
| Uncertain treatment protocols | |||
| Individual | 18 (72) | ||
| Personal characteristics | 15 (60) | Mental burden | |
| Lack of relevant working experiences | |||
| Custom adjustment difficulties | 13 (52) | Language barriers | |
| Not used to local food | |||
| Mistrust toward professional counselors | |||
| Missing family during important festival | |||
| Social | 14 (56) | ||
| Family burdens | 14 (56) | Concerns for family members | |
| Family members not understanding | |||
| Unable to be with the families | |||
| Incidents occurred with family members | |||
| Team | 9 (36) | ||
| Team norming process | 9 (36) | Lack of communication between team members in the early stage | |
| Inability to share their fears | |||
| Unfamiliar with other team members | |||
| Lack of understanding from the leaders | |||
| Post-deployment risk-factors | 9 (36) | ||
| Individual challenges | 9 (36) | Adapting to the new norm of living | |
| Re-connecting with family and friend | |||
| Concerned with reintegration into pre-deployment work | |||
| Isolation due to Quarantine | |||
| Pressure of “heroism”, “I am not a hero” |
List of domains, themes, and subthemes of protective factors for the well-being of the 25 interviewees.
| Domains | Themes | Frequency (%) | Subthemes |
| Clinical ward interactions | 25 (100) | ||
| Reciprocal doctor-patient relationship | 25 (100) | Positive interaction with patients | |
| Received appreciation from patients | |||
| Received care from patients | |||
| Patients’ conditions improved | |||
| Patients’ optimism | |||
| Supports from the local HWs | 12 (48) | Cooperation from the local HWs | |
| Local HWs in good morale | |||
| Appreciation from local HWs | |||
| Working environment | 25 (100) | ||
| Reasonable working arrangement | 24 (96) | Adequate logistics arrangement | |
| Orientation training | |||
| Pre-deployment tasks delegation | |||
| Scientific work management | |||
| Work-life balance | 20 (80) | Emphasis on team’s physical health | |
| Reasonable work schedule | |||
| Providing mental health support | |||
| Time for respite and recuperation | |||
| Team | 25 (100) | ||
| Mutual support among the team members | 25 (100) | Work support among team members | |
| Communication among team members | |||
| Emotional support from team members | |||
| Companionship from team members | |||
| Support from the team leaders | |||
| Team morale boosting | |||
| High team morale | 19 (76) | Team cohesion | |
| Team professionalism | |||
| High team spirit | |||
| Zero infection within the team | |||
| Individual | 25 (100) | ||
| Personal adaptiveness | 25 (100) | Individual psychological adjustment | |
| Adapting to work routine | |||
| Emotional coping | |||
| Distraction as coping | |||
| Personal physical protection | 24 (96) | Personal safety protection | |
| Maintaining physical health | |||
| Physical relaxation | |||
| Personal lifestyle protection | |||
| Previous working experience | 22 (88) | Having prior work experience | |
| Familiarity in treatment task | |||
| Possession of relevant knowledge | |||
| Professionalism | 20 (80) | Sense of duty | |
| Fully dedicated to work | |||
| Being proactive in problem-solving at work | |||
| Sense of accomplishment from work | |||
| Personal characteristics | 17 (68) | Passionate in volunteerism | |
| Personal convictions | |||
| Meaning finding | |||
| Sense of calling | |||
| Sense of being needed | |||
| National/organizational policies | 24 (96) | ||
| Workplace Pandemic control mechanism | 23 (92) | Implementing team safety measures | |
| Adequate PPE supplies | |||
| Adequate medical supplies | |||
| Ensuring PPEs qualities | |||
| National effort in pandemic control | 17 (68) | Positive impact through media platforms | |
| National medical support | |||
| National COVID control measures | |||
| Supportive public policies | |||
| Timely pandemic control and prevention | |||
| Social | 24 (96) | ||
| Familial support | 24 (96) | Immediate family support | |
| Contact with family members | |||
| Caring for the family members | |||
| Other social supports | 12 (48) | Support of the deploying hospital unit | |
| Support from friends | |||
| Contact with friends | |||
| Support from the wider social circle | |||
| Culture/national context | 16 (64) | ||
| National context | 11 (44) | Support from the larger community | |
| Improvement of the pandemic situation | |||
| The power of the Communist Party | |||
| Warmth and appreciation of the local (Wuhan) people | |||
| Cultural resources | 10 (40) | Taste of home-cooking | |
| Spirit of collectivism | |||
| Cultural mindset of “Take it as it comes” | |||
| Post-deployment protective factors | 23 (92) | ||
| Individual level | 21 (84) | Physical relaxation | |
| Individual Psychological adjustment | |||
| Emotional coping | |||
| Meaning finding | |||
| Keeping daily routine | |||
| Maintaining physical health | |||
| Policy level | 15 (60) | Supportive public policies | |
| Reasonable recognition and appreciation | |||
| Safe quarantine environments | |||
| Teamwork | 12 (48) | Support among team members | |
| Emphasis on team physical health | |||
| Social support | 8 (32) | Support from families and friends | |
| Cultural belonging | 5 (20) | Sense of cultural root | |
| Organizational support | 2 (8) | Support from the deploying hospital unit |
FIGURE 2Social-ecological model to illustrate the protective and risk factors for the wellbeing of the interviewees.