Classification of Schizophrenia Flashcards
who is more likely to have schizophrenia?
- 1% of the UK have it
- 1st symptoms around 15-45 y/o
- men most likely to have it
- men also have earlier symptoms
positive symptoms
- experiences that are in addition to normal experiences
negative symptoms
- loss of normal experiences and abilities
examples of positive symptoms
- hallucinations
- delusions
examples of negative symptoms
- avolition
- speech poverty
how to diagnose symptoms
- using DSM-5 (the diagnostic and statistical manual)
- using ICD (international classification of disease)
- 2 symptoms need to be present for at least a month
- at least 1 needs to be positive
what is a hallucination?
- additional sensory experiences
- seeing distortions in objects that look like faces
- hearing critical voices
what is a delusion?
- irrational beliefs about themselves or the world
- feelings of persecution
- ’ the government’
- feelings of grandeur
- ‘president’
What is avolition?
- a lack of purposeful, willed behaviour
- no energy
- no sociability affection
- no personal hygiene
what is speech poverty?
- brief verbal communication style
- lack of quality and quantity of verbal responses
- can be a positive symptom if speech is excessively disorganized, with suffers wondering off the point
what is reliability?
- how consistent the results are using the same measuring tool
what is inter-rater reliability?
- measure of how two observers agree
what is test-retest reliability?
-the same doctor giving the same diagnosis, over time with the same symptoms
Inter-rater reliability in terms of SZ diagnosis
- 54% concordance rate between doctors assessments
- low inter-rater reliability in the diagnosis of SZ
- many people have been diagnosed incorrectly
- potentially lead to the inappropriate treatments
what is validity in terms of SZ?
- the diagnoses of SZ can be questioned in individual cases
- question as to whether SZ is actually a unique syndrome
- has its own characteristics, symptoms and causes
what is co-morbidity in terms of SZ?
- SZ often diagnosed with other disorders
- could be leading to inaccurate diagnosis of SZ, when it could be a severe case of depression
- as these diagnoses usually occur together, they may not be separate disorders
co-morbidity rates for SZ
- depression 50%
- drug abuse 47%
- PTSD 29%
- OCD 23%
- this complicates treatments plans
- suggests the original diagnosis of SZ may be wrong if the disorders share symptoms
what is symptom overlap with SZ
- Bipolar also has hallucinations and delusions as positive symptoms
- if the two disorders are so similar it means they may not be so distinct
- as a result, they should be redefined
Gender and the diagnosis of SZ (men)
- women and men equally likely to be diagnosed but women 5 years later
- average diagnosis age for a man is 25
- men more likely to have drug abuse as a co morbidity
- men have more negative symptoms and worse social functioning
- women are more likely to display negative symptoms
Gender bias when diagnosing SZ (women)
- women’s experience of SZ is taken less seriously and undiagnosed
- cotton: womens better coping strategies leading to being less likely to seek treatments
Culture on the diagnosis of SZ
- people with afro-carribean heritage are 9x more likely to be diagnosed than the 1% of the general population
culture bias on the diagnosis of SZ
- as SZ rates are 1% in the country of origin, the rise in diagnostic rates are likely due to cultural bias
- Fernando: ‘category failure’
- western definitions of mental illness applied to non-western cultures
- e.g. hearing the voices of the angels= auditory hallucination in the UK, but in the west indies= religious experience
Evaluation strength: research support
- lorning and Powell: sent 290 psychiatrists 2 identical case files
- 2 case studies changed to W male, B male, W female, B female or not identified
- over diagnosis of black case studies and under diagnosis of female case studies
- most accurate diagnosis was when the gender and race of the psychiatrist was the same as the case study
- shows gender and culture bias