Latent profile analysis of mental health among Chinese healthcare staff during the COVID-19 pandemic

Abstract

ABSTRACT The mental health of individuals has become increasingly important during the novel coronavirus-2019 (COVID-19) pandemic. Given the number of healthcare staff that are helping to treat the victims of COVID-19 all over the world, there is a lack of research concerning the mental health of healthcare staff, and of the prior studies carried out, the research has been relatively descriptive and has not used more sophisticated types of analyses (e.g. latent profile analysis [LPA]). The aim of the present study was to investigate profiles of mental health among Chinese healthcare staff during the COVID-19 pandemic. The sample comprised of 456 healthcare staff, and participants completed an online survey including individual information and their working status during the COVID-19 pandemic. The survey included the Chinese Mental Health Scale (MHS-C), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). Utilizing the LPA, two profiles of mental health (good mental health and poor mental health) were identified for Chinese healthcare staff during the COVID-19 pandemic. Compared to those with a good mental health profile, those with poor mental health profile had significantly higher scores on SAS and SDS. Female healthcare staff had higher mental health disturbances than males. Taking care and protecting the mental health of healthcare staff is very important in the fight against COVID-19. The need for employers to implement positive and effective measures among mental healthcare staff is likely to help them to cope better with mental health issues and improve mental health, as well as enhance resilience. Healthcare staff with good mental health can dedicate themselves to better nursing practice and nursing education during the COVID-19 epidemic.