A Critical—But Sympathetic—View of Issues In Psychiatric Diagnosis

1979 ◽  
Vol 24 (5) ◽  
pp. 357-359
Author(s):  
PETER E. NATHAN
Keyword(s):  
Psychiatric Diagnosis

Acceptability of Assisted Suicide in Patients With Severe and Persistent Mental Illness

GeroPsych ◽  
2020 ◽  
pp. 1-8
Author(s):  
Sophie Gloeckler ◽  
Manuel Trachsel
Keyword(s):  
Mental Illness ◽  
Pilot Study ◽  
Psychiatric Diagnosis ◽  
Assisted Suicide ◽  
Shared Values ◽  
Psychiatric Nurses ◽  
Attitudes And Beliefs ◽  
Future Studies ◽  
Persistent Mental Illness ◽  
Moral Attitudes

Abstract. In Switzerland, assisted suicide (AS) may be granted on the basis of a psychiatric diagnosis. This pilot study explored the moral attitudes and beliefs of nurses regarding these practices through a quantitative survey of 38 psychiatric nurses. The pilot study, which serves to inform hypothesis development and future studies, showed that participating nurses supported AS and valued the reduction of suffering in patients with severe persistent mental illness. Findings were compared with those from a previously published study presenting the same questions to psychiatrists. The key differences between nurses’ responses and psychiatrists’ may reflect differences in the burden of responsibility, while similarities might capture shared values worth considering when determining treatment efforts. More information is needed to determine whether these initial findings represent nurses’ views more broadly.

On changes in psychiatric diagnosis over time.

1978 ◽  
Vol 33 (11) ◽  
pp. 1017-1031 ◽  
Author(s):  
Jeffrey D. Blum
Keyword(s):  
Psychiatric Diagnosis ◽  
Over Time

Decision Support for Psychiatric Diagnosis Based on a Simple Questionnaire

1997 ◽  
Vol 36 (04/05) ◽  
pp. 349-351
Author(s):  
H. Mizuta ◽  
K. Kawachi ◽  
H. Yoshida ◽  
K. Iida ◽  
Y. Okubo ◽  
...  
Keyword(s):  
Neural Network ◽  
Decision Support ◽  
Psychiatric Diagnosis ◽  
Psychiatric Patients ◽  
Bayesian Classifier ◽  
Neural Network Classifier ◽  
Correct Decision ◽  
Neurotic Disorders ◽  
The Neural Network

Abstract:This paper compares two classifiers: Pseudo Bayesian and Neural Network for assisting in making diagnoses of psychiatric patients based on a simple yes/no questionnaire which is provided at the outpatient’s first visit to the hospital. The classifiers categorize patients into three most commonly seen ICD classes, i.e. schizophrenic, emotional and neurotic disorders. One hundred completed questionnaires were utilized for constructing and evaluating the classifiers. Average correct decision rates were 73.3% for the Pseudo Bayesian Classifier and 77.3% for the Neural Network classifier. These rates were higher than the rate which an experienced psychiatrist achieved based on the same restricted data as the classifiers utilized. These classifiers may be effectively utilized for assisting psychiatrists in making their final diagnoses.

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