The Horror of Stigma: Psychosis and Mental Health Care Environments in Twenty-First-Century Horror Film (Part II)

Goodwin, John

doi:10.1111/ppc.12044

Cited by 20 publications

(11 citation statements)

References 45 publications

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“…Similarly, Nour et al 24 found that most videos presenting schizophrenia on YouTube inaccurately portray the condition. Goodwin 25 examined the stereotyping of characters experiencing psychosis in 33 psychosis-related horror films released before the study was conducted. He concluded that 78.8% portrayed a homicidal maniac and 72.7% portrayed a pathetic or sad character.…”

Section: Discussionmentioning

confidence: 99%

Using Twitter to assess attitudes to schizophrenia and psychosis

2019

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Aims and methodSchizophrenia is a psychotic disorder that is stereotypically stigmatised as untreatable and associated with violence. Several authorities have suggested that changing the name, for example to psychosis, would reduce such stigmatisation. We aimed to compare attitudes to schizophrenia and psychosis on Twitter to see if psychosis was associated with less negative attitudes. Tweets containing the terms ‘schizophrenia’, ‘schizophrenic’, ‘psychosis’ or ‘psychotic’ were collected on www.twitter.com and were captured with NCapture. On NVivo, tweets were coded into categories based on user type, tweet content, attitude and stigma type by two independent raters. We compared the content and attitudes of tweets referring to schizophrenia/schizophrenic and psychosis/psychotic.ResultsA total of 1120 tweets referring to schizophrenia/schizophrenic and 1080 referring to psychosis/psychotic were identified over two 7-day periods; 424 original tweets for schizophrenia and 416 original tweets for psychosis were included in the analysis. Psychosis was significantly more commonly included in tweets expressing negative attitudes (n=131, 31.5%) than schizophrenia (n=41, 9.7%) (χ² = 237.03, P < 0.0001). Of the personal opinions or dyadic interactions, 125 (53.4%) in the psychosis data set were stigmatising, compared with 33 (24.6%) of those in the schizophrenia set (χ² = 44.65, P < 0.0001).Clinical implicationsThe terms psychosis/psychotic are associated with a significantly higher number of tweets with negative content than schizophrenia/schizophrenic. Together with other evidence, this suggests that changing the name of schizophrenia to psychosis will not reduce negative attitudes toward the condition.Declaration of interestS.L. has received personal fees from Otsuka and Sunovion, and personal and research fees from Janssen.

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Section: Discussionmentioning

confidence: 99%

Using Twitter to assess attitudes to schizophrenia and psychosis

2019

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“…Attitudes towards people with mental illness are influenced by many factors, including culture, level of education, knowledge, and contact with people with mental illness [ 3 – 20 ]. Culture shapes family beliefs, media portrayals of people with mental illness and local health care provisions for mental health [ 4 , 6 ]. For example, mental illness is often perceived in many cultures as a sign of possession by evil spirits, moral weakness, a curse or a form of punishment by higher beings [ 7 , 16 , 17 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Determining the effectiveness of a video-based contact intervention in improving attitudes of Penang primary care nurses towards people with mental illness

Rashid

O'Brien

2017

PLoS ONE

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BackgroundMental illness-related stigma is common, and is associated with poorer outcomes in people with mental illness. This study evaluated the attitudes of primary care nurses towards people with mental illness and its associated factors; and the effectiveness of a short video-based contact intervention (VBCI) in improving these attitudes using a Malay version of the 15-item Opening Minds Stigma Scale for Healthcare Providers (OMS-HC-15-M).MethodsA 5-minute VBCI was developed comprising elements of psychoeducation and interviews of people with mental illness and the people they interact with, relating to experience of mental illness and recovery. A pre-post cross-sectional study was conducted on 206 randomly selected primary care nurses in Penang, Malaysia. The OMS-HC-15-M questionnaire was administered before and immediately after participants viewed the VBCI. The difference in mean pre-post VBCI scores using paired t-tests, effect size and standardised response mean (SRM) were obtained. Factors correlating to attitudes were obtained using univariate and multivariate regression analyses.ResultsDifferences in pre-post VBCI score were statistically significant (p<0.001) with a 14% score reduction, a moderate effect size and SRM at 0.97 (0.85–0.11) and 1.1 (0.97–1.2) respectively. By factoring in the Minimal Detectable Change statistic of 7.76, the VBCI produced a significant improvement of attitudes in 30% of the participants. Factors associated with less stigmatising attitudes at baseline were previous psychiatry-related training, desiring psychiatric training, and positive contact with people with mental illness.ConclusionsThis is the first study in Malaysia to show that a brief VBCI is effective in improving attitudes of primary care nurses towards people with mental illness in the immediate term. Further studies are needed to determine if these results can be sustained in the longer term and generalizable to other health care professionals. Qualitative studies are warranted to provide insight to the factors correlating to these attitudes. (300 words)

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“…Additionally, entertainment media, such as prime time network TV shows and horror films, convey inaccuracies and promote stereotypes about mental illness (Goodwin, 2014) while medical TV talk shows, which blend facts and entertainment, offer accurate advice only 30% to 50% of the time (Thomas et al, 2018).…”

Section: Mediamentioning

confidence: 99%

Health Misinformation

Nan¹,

Wang²,

Thier³

2020

Preprint

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Research on health misinformation has grown rapidly as concerns about the potential harmful effects of health misinformation on individuals and society intensify amid a “post-truth” era. In this chapter, we provide a broad overview of current research and evidence concerning the many facets of health misinformation, including its sources, prevalence, characteristics (both content and diffusion features), impact, and mitigation. We conclude that health misinformation originates from many sources, most notably mass and social media, is fairly prevalent, both in interpersonal and mediated settings, and tends to feature negative sentiments, anecdotal evidence, and anti-science narratives. While there is no conclusive evidence that health misinformation spreads more broadly than scientific information, health misinformation reliably leads to misperceptions on health issues. Efforts to mitigate the impact of health misinformation show early promise in correcting misperceptions. We offer several directions for future research, including a call for more investigations on the impact of health misinformation and correcting messages on actual behaviors.

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The Horror of Stigma: Psychosis and Mental Health Care Environments in Twenty-First-Century Horror Film (Part II)

Abstract: Practitioners should be aware of the specific manner in which clients are being stigmatized by the media. This paper highlights specific ways in which psychosis and MHCEs are stigmatized, and encourages practitioners to challenge these depictions.

Cited by 20 publications

References 45 publications

Using Twitter to assess attitudes to schizophrenia and psychosis

Using Twitter to assess attitudes to schizophrenia and psychosis

Determining the effectiveness of a video-based contact intervention in improving attitudes of Penang primary care nurses towards people with mental illness

Health Misinformation

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