De « Psychose maniaco-dépressive » à « Troubles bipolaires » : une histoire des représentations sociales et de la stigmatisation en rapport avec la nosographie

Comparing stigma between French people experiencing schizophrenia versus bipolar disorders

BACKGROUND

Among the multiple challenges that people experiencing mental illness in general, and schizophrenia or bipolar disorders in particular, have to face, stigma appears to be one of the most difficult to tackle. In France, the body of research about stigma regarding people experiencing schizophrenia or bipolar disorders is growing, but not as much as in other western countries.

AIMS

In this context, our study aims to explore and compare stigma in French people experiencing schizophrenia or bipolar disorders, along with their respective mental healthcare system experience, in order to better address them within public health policies.

METHODS

20 French mental health service users experiencing schizophrenia and 20 experiencing bipolar disorders answered the Stigma Scale, which assesses three dimensions of stigma (discrimination, difficulties of divulgation and lack of positive aspects). A semi-structured interview was used to collect information about the experience of the mental healthcare system (level of information, access to diagnosis, treatment, access to psychoeducation, etc.).

RESULTS

People experiencing schizophrenia and people experiencing bipolar disorders are different populations in terms of social impairment. However, they share a comparable negative experience of the mental healthcare system and a comparable level of information about their illness, to the exception of diagnosis divulgation, as people experiencing bipolar disorders have a better access to their diagnosis. People experiencing schizophrenia perceive a higher actual discrimination than people experiencing bipolar disorders.

CONCLUSIONS

Public health policies should take into account the strong perception of actual discrimination of people experiencing schizophrenia, with capitalizing on what seems beneficial for people experiencing bipolar disorders.

Perceived public stigma and perceived public exposure by persons living with bipolar disorder: A qualitative study

BACKGROUND

Stigma impact the lives of persons living with bipolar disorder.

AIM

The aim of this study was to explore how perceived public stigma is described by people living with bipolar disorder and examine the links between perceived public stigma and perceived public exposure.

METHOD

Face-to-face in-depth interviews were conducted in a purposive sample of euthymic people living with bipolar disorder recruited in a mood disorder ambulatory unit.

RESULTS

Thematic analysis of the transcript yielded five independent themes that were related to perceived public stigma. Perceived public stigma of bipolar disorder was modeled as comprising the three elements of public stigmas (stereotype, prejudice, and discrimination), with the addition of public exposure as a core component.

CONCLUSION

The representation of bipolar disorder in society via newspapers, films/TV series, conferences, and celebrity self-disclosures is considered to have multiple impacts. People living with bipolar disorder have also reported a perceived public stigma of bipolar disorder that has both specific features and characteristics of general mental illness.

Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French

Background

With the advent of digital technology and specifically user-generated contents in social media, new ways emerged for studying possible stigma of people in relation with mental health. Several pieces of work studied the discourse conveyed about psychiatric pathologies on Twitter considering mostly tweets in English and a limited number of psychiatric disorders terms. This paper proposes the first study to analyze the use of a wide range of psychiatric terms in tweets in French.

Objective

Our aim is to study how generic, nosographic, and therapeutic psychiatric terms are used on Twitter in French. More specifically, our study has 3 complementary goals: (1) to analyze the types of psychiatric word use (medical, misuse, or irrelevant), (2) to analyze the polarity conveyed in the tweets that use these terms (positive, negative, or neural), and (3) to compare the frequency of these terms to those observed in related work (mainly in English).

Methods

Our study was conducted on a corpus of tweets in French posted from January 1, 2016, to December 31, 2018, and collected using dedicated keywords. The corpus was manually annotated by clinical psychiatrists following a multilayer annotation scheme that includes the type of word use and the opinion orientation of the tweet. A qualitative analysis was performed to measure the reliability of the produced manual annotation, and then a quantitative analysis was performed considering mainly term frequency in each layer and exploring the interactions between them.

Results

One of the first results is a resource as an annotated dataset. The initial dataset is composed of 22,579 tweets in French containing at least one of the selected psychiatric terms. From this set, experts in psychiatry randomly annotated 3040 tweets that corresponded to the resource resulting from our work. The second result is the analysis of the annotations showing that terms are misused in 45.33% (1378/3040) of the tweets and that their associated polarity is negative in 86.21% (1188/1378) of the cases. When considering the 3 types of term use, 52.14% (1585/3040) of the tweets are associated with a negative polarity. Misused terms related to psychotic disorders (721/1300, 55.46%) were more frequent to those related to depression (15/280, 5.4%).

Conclusions

Some psychiatric terms are misused in the corpora we studied, which is consistent with the results reported in related work in other languages. Thanks to the great diversity of studied terms, this work highlighted a disparity in the representations and ways of using psychiatric terms. Moreover, our study is important to help psychiatrists to be aware of the term use in new communication media such as social networks that are widely used. This study has the huge advantage to be reproducible thanks to the framework and guidelines we produced so that the study could be renewed in order to analyze the evolution of term usage. While the newly build dataset is a valuable resource for other analytical studies, it could also serve to train machine learning algorithms to automatically identify stigma in social media.