2019. Effects of a smartphone application for cognitive rehearsal intervention on workplace bullying and turnover intention among nurses

Effects of a smartphone application for cognitive rehearsal intervention on workplace bullying and turnover intention among nurses.
International journal of nursing practice, 25(6), e12786., 2019
Kang, J., & Jeong, Y. J.
DOI : 10.1111/ijn.12786
Full article: link

Abstract: This study developed and investigated the effects of cognitive training for dealing with harassment at work using a smartphone application, which was tested on 72 nurses in a university hospital in South Korea.

Comment: There is a control group in this study that does not receive NVC training on smartphones. It would have been ideal if the control group had undergone another training course on harassment on smartphones to be able to distinguish the specific effects of NVC. In addition, the subjects were tested at 1 month and then 2 months with explicit questionnaires on their experiences of harassment, which may create a bias in the reporting of those who had taken the smartphone training, with a tendency to want to improve the results out of complacency.

By studying changes in cognitive training and intentions to quit in each group, depending on the type of group, the authors increase their chances of finding a difference. To counteract this multiple-test bias, they used statistical corrections such as the Bonferroni correction.

As the authors point out, this study has a number of limitations. It is necessary to develop scenarios that reflect the types of harassment, because the content of the cartoons mainly concerned harassment related to the person and to work. In addition, as the intervention used a smartphone application, there may be differences in the duration and intensity of the intervention applied to individual participants. They were unable to measure these because of technical constraints.

Perspective : It would be relevant to evaluate the effects of this training at 6 months, for example, to measure the longer-term impact. And to use implicit tests to avoid complacency bias.