Asked by Hannah Michele on Jul 16, 2024
Verified
Several methods have been employed to determine whether the higher prevalence rates of personality disorders in women represents gender-biased criteria, gender-biased application of the criteria, or
Prevalence Rates
Indicate the total number of cases of a disease or condition present in a population at a specific time or over a specific period.
Gender-Biased Criteria
Standards or guidelines that unfairly discriminate against a particular gender, often leading to inequitable outcomes or treatments.
- Understand the intricacies involved in diagnosing personality disorders, taking into account the impact of gender bias.
Verified Answer
ZK
Zybrea KnightJul 17, 2024
Final Answer :
1) Having professionals make a diagnosis after reading a case history, with the patient described as a woman in half the cases and as a man in the other. Finding: more of the "female" patients were diagnosed with a personality disorder than were "male" patients (hysterical personality disorder, the precursor of histrionic)
2) Analyzing real cases (the symptoms listed for patients). Finding: whereas symptoms that met diagnostic criteria for histrionic personality disorder were found equally among men and women, women were more likely to be diagnosed
3) Comparing diagnosis rates for histrionic personality disorder among patients to rates found in epidemiological studies. Finding: higher diagnosis rates in women for the patients, equal prevalence in the epidemiological studies
2) Analyzing real cases (the symptoms listed for patients). Finding: whereas symptoms that met diagnostic criteria for histrionic personality disorder were found equally among men and women, women were more likely to be diagnosed
3) Comparing diagnosis rates for histrionic personality disorder among patients to rates found in epidemiological studies. Finding: higher diagnosis rates in women for the patients, equal prevalence in the epidemiological studies
Learning Objectives
- Understand the intricacies involved in diagnosing personality disorders, taking into account the impact of gender bias.
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