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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học General Psychiatry cung cấp cho các bạn kiến thức về ngành y đề tài: Global Assessment of Functioning (GAF): properties and frontier of current knowledge. | Aas Annals of General Psychiatry 2010 9 20 http www.annals-general-psychiatry.eom content 9 1 20 REVIEW ANNALS OF GENERAL PSYCHIATRY Open Access Global Assessment of Functioning GAF properties and frontier of current knowledge IH Monrad Aas Abstract Background Global Assessment of Functioning GAF is well known internationally and widely used for scoring the severity of illness in psychiatry. Problems with GAF show a need for its further development for example validity and reliability problems . The aim of the present study was to identify gaps in current knowledge about properties of GAF that are of interest for further development. Properties of GAF are defined as characteristic traits or attributes that serve to define GAF or may have a role to define a future updated GAF . Methods A thorough literature search was conducted. Results A number of gaps in knowledge about the properties of GAF were identified for example the current GAF has a continuous scale but is a continuous or categorical scale better Scoring is not performed by setting a mark directly on a visual scale but could this improve scoring Would new anchor points including key words and examples improve GAF anchor points for symptoms functioning positive mental health prognosis improvement of generic properties exclusion criteria for scoring in 10-point intervals and anchor points at the endpoints of the scale Is a change in the number of anchor points and their distribution over the total scale important Could better instructions for scoring within 10-point intervals improve scoring Internationally both single and dual scales for GAF are used but what is the advantage of having separate symptom and functioning scales Symptom GAF-S and functioning GAF-F scales should score different dimensions and still be correlated but what is the best combination of definitions for GAF-S and GAF-F For GAF with more than two scales there is limited empirical testing but what is gained or lost by using more than two
