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 |
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 |
2 | 2 | 2 | Inconsistency in these findings [39]. | Moderate |
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 |
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 |
3 | 2 | 2 | No serious inconsistencies. | High |
4 | 2 | 1 | This theme was predominantly raised in qualitative literature. | Moderate |
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 |
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 |
2 | 2 | 1 | No serious inconsistencies. | Moderate |
2 | 2 | 0 | No serious inconsistencies. | Low |