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Questions 3–5: more specific suicidal thoughts and intent to act; Question 6: suicidal behavior over the respondent's lifetime and past 3 months; If the respondent answers "yes" to Question 2, he/she is instructed to answer Questions 3–5. If the respondent answers "no" to Question 2, he/she may skip to Question 6.
Bryan and Rudd (2006) suggest a model in which risk is categorized into one of four categories: Baseline, Acute, Chronic high risk, and Chronic high risk with acute exacerbation. [10] Risk level can be described semantically (in words) e.g. as Nonexistent, Mild, Moderate, Severe, or Extreme, and the clinical response can be determined accordingly.
A health risk assessment (HRA) is a health questionnaire, used to provide individuals with an evaluation of their health risks and quality of life. [5] Commonly a HRA incorporates three key elements – an extended questionnaire, a risk calculation or score, and some form of feedback, i.e. face-to-face with a health advisor or an automatic online report.
The Suicide Behaviors Questionnaire-Revised (SBQ-R) is a psychological self-report questionnaire designed to identify risk factors for suicide in children and adolescents between ages 13 and 18. The four-question test is filled out by the child and takes approximately five minutes to complete.
Participants in the assessment process are health care professionals and direct care staff such as registered nurses, licensed practical or vocational nurses (LPN/LVN), Therapists, Social Services, Activities and Dietary staff employed by the nursing home. MDS information is transmitted electronically by nursing homes to the MDS database in ...
The Patient Health Questionnaire 2 item (PHQ-2) is an ultra-brief screening instrument containing the first two questions from the PHQ-9. [ 8 ] : 3 Two screening questions to assess the presence of a depressed mood and a loss of interest or pleasure in routine activities , and a positive response to either question indicates further testing is ...
The BHS moderately correlates with the Beck Depression Inventory, although research shows that the BDI is better suited for predicting suicidal ideation behavior. [3] The internal reliability coefficients are reasonably high (Pearson r = 0.82 to 0.93 in seven norm groups), but the BHS test-retest reliability coefficients are modest (0.69 after one week and 0.66 after six weeks).
Achenbach used machine learning and principal component analysis when developing the ASEBA in order to cluster symptoms together when forming the assessment's eight categories. This approach ignored the syndrome clusters found in the DSM-I, instead relying on patterns found in case records of children with identified psychopathologies.