Integration of biological and psychological illness attributional belief in association with medication adherence behaviour: A path analysis

Research on maintenance treatment to prevent relapse of psychotic disorders

The issue of antipsychotic (dis)continuation has been a long-standing clinical dilemma. While the routine usage of antipsychotic is associated with side effects and stigma, short-term evidence suggest that the risk of relapse is heightened following antipsychotics withdrawal. Clinical guidelines therefore propose a one to two years duration of maintenance treatment upon remission in first episode psychosis (FEP), but guidance beyond which remains unclear. Only two controlled studies have addressed the long-term consequences of antipsychotic discontinuation. While Wunderink et al. concluded that dose reduction is associated with a higher rate of recovery, Hui et al. found discontinuation to be associated with better clinical outcomes. Data from Hui et al.'s study further suggests that treatment should be maintained for at least the first three years upon remission in FEP in order reduce the risk of relapse, as well as subsequent poor long-term outcome. It is noted that the two studies not only differ in outcome measures, but also in their strategies of "antipsychotic discontinuation". Considering that discontinuation is a more compelling option to most patients, it may therefore be more clinically relevant. More long-term follow-up discontinuation studies are needed to provide further evidence in the development of treatment guidelines for FEP.

Sociodemographic correlates of public stigma about mental illness: a population study on Hong Kong's Chinese population

BACKGROUND

Individuals with psychiatric disorders are often unwilling to seek help or often follow treatment regimens, fearing public stigma. This study identified the sociodemographic correlates of public stigma while accounting for mental health literacy and life satisfaction.

METHODS

This study analysed data for 1514 individuals who participated in a population-based random telephone survey conducted in 2018. Sociodemographic characteristics included gender, age, education level, and occupation. Data on public stigma, mental health literacy, and life satisfaction were also collected. Multiple linear regression was conducted to examine the effects of sociodemographic characteristics on public stigma. A moderation analysis was performed to investigate the role of age and education in the relationship between mental health literacy and public stigma.

RESULTS

Sociodemographic characteristics, such as female gender, older age, lower education, and occupation (particularly retired and homemakers), were associated with a higher public stigma. The association between public stigma and mental health literacy was the most significant among individuals aged 50 years and above with lower education levels.

CONCLUSIONS

This study showed that certain population subgroups, based on their sociodemographic profile, have a higher stigma about mental illnesses. Understanding the differential effects of sociodemographic factors on public stigma is imperative to developing effective anti-stigma campaigns.