Table 4.
No of studies | Design | Risk of bias | Additional considerations | Certainty (overall score)a |
---|---|---|---|---|
Factor: Support (Community, social, team, government) [24, 37, 44, 46] | ||||
4 | 2 | 2 | No serious inconsistencies. | High |
Factor: Adequate personal protective equipment (PPE) [24, 46] | ||||
2 | 2 | 0 | Few studies assessed PPE directly as a protective factor. Many found it to be a risk factor when inadequate. | Low |
Factor: Being in a committed relationship [36] | ||||
1 | 2 | 0 | Only one study assessed this factor. | Very low |
Factor: Prior outbreak experience/COVID-19 Knowledge [22, 24, 46, 61] | ||||
4 | 2 | 1 | No serious inconsistencies, but the data also included one low quality uncontrolled pre and post exposure study, as well as a qualitative study. | Moderate |
Factor: Resilience [36, 44, 61] | ||||
3 | 2 | 1 | Resilience was empirically measured with validated scores | High |
Factor: Altruistic acts [37] | ||||
1 | 2 | 1 | Only one qualitative study assessed this factor. | Low |
Factor: Personal growth [37] | ||||
1 | 2 | 1 | Only one qualitative study assessed this factor. | Low |
Factor: Gratitude, Positive self-attitude [24, 37] | ||||
2 | 2 | 1 | This factor was not empirically measured. | Low |
Factor: Sense of purpose [37] | ||||
1 | 2 | 1 | Only one qualitative study assessed this factor. | Low |
Factor: Safety of family [24] | ||||
1 | 2 | 0 | Only one study assessed this factor. | Very low |
a4 High = This research provides a very good indication of the likely effect. The likelihood that the effect will be substantially different** is low
3 Moderate = This research provides a good indication of the likely effect. The likelihood that the effect will be substantially different** is moderate
2 Low = This research provides some indication of the likely effect. However, the likelihood that it will be substantially different** is high
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
** Substantially different = a large enough difference that it might affect a decision