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Table 3 Certainty of evidence for the risk factors associated with adverse mental health outcomes on health and care staff during the COVID-19 pandemic

From: A rapid review of the impact of COVID-19 on the mental health of healthcare workers: implications for supporting psychological well-being

No of studies

Design

Risk of bias

Additional considerations

Certainty (overall score)a

Factor: Frontline staff/Close contact with COVID-19 patients [30, 31, 34, 42]

4

2

2

Inconsistency: Higher burnout reported in non-frontline staff (Cancer hospital, Wuhan) [43].

Frontline nurses reported lower vicarious trauma scores [32].

No difference between frontline and non-frontline staff reported (This finding was not statistically significant) [33].

Moderate

Factor: Nurse [24, 26, 31]

3

2

2

Inconsistency: Doctors were found to have more sleep disturbances than nurses (This finding was not statistically significant) [42].

Not all confounding factors were dealt with in the three studies reporting nurses to be at a higher risk for adverse psychological outcomes. No studies compared nurses to primary care or social staff.

Moderate

Factor: Clinical healthcare workers [34, 47]

2

2

2

Inconsistency in these findings [39].

Moderate

Factor: Heavy workload [26, 35, 37]

3

2

2

No serious inconsistencies.

High

Factor: Lack of personal protective equipment (PPE) [24, 28, 40, 46]

4

2

2

No serious inconsistencies.

High

Factor: Point of outbreak [37, 58]

2

2

1

Only two studies - one was limited to the sample of a surgical department where confounding factors were not dealt with and one was a qualitative study.

Low

Factor: Rural location [47]

1

2

0

Only one study reported findings on effect of rurality.

Very low

Factor: Fear of infection [21, 26, 28]

3

2

2

No serious inconsistencies.

High

Factor: Concern about family [24, 26, 37, 40]

4

2

1

This theme was predominantly raised in qualitative literature.

Moderate

Factor: Younger age [24, 29, 33]

3

2

2

Age was found to be a complex risk factor where the focus of anxiety depended on the age group assessed [24].

Low

Factor: Gender – Female [31, 47]

2

2

1

Inconsistencies were found – for example: a large global survey of dentists found no differences based on gender [21]. Furthermore, confounding factors assessing gender in both included studies were not satisfactorily dealt with.

Low

Factor: Organic illness [36, 47]

2

2

1

No serious inconsistencies.

Moderate

Factor: Being an only child [35, 42]

2

2

0

No serious inconsistencies.

Low

  1. a 4 High = This research provides a very good indication of the likely effect. The likelihood that the effect will be substantially different** is low
  2. 3 Moderate = This research provides a good indication of the likely effect. The likelihood that the effect will be substantially different** is moderate
  3. 2 Low = This research provides some indication of the likely effect. However, the likelihood that it will be substantially different** is high
  4. 1 Very low = This research does not provide a reliable indication of the likely effect. The likelihood that the effect will be substantially different** is very high
  5. ** Substantially different = a large enough difference that it might affect a decision