Method for establishing drug addiction relapse time estimation model through psychological scale

A psychological scale and predictive model technology, applied in medical simulation, psychotherapy, instruments, etc., can solve the problems that the social expectation effect is difficult to rule out, and it is impossible to evaluate whether the drug addicts are relapsed or not.

Pending Publication Date: 2020-10-20
SOUTHWEST UNIVERSITY +1
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existence of this evaluation method has its convenience, but it is divorced from the practicality of reality, because the drug rehabilitation students in the institute have no chance to touch drugs, because it involves the length of drug rehabilitation time, and the social expectation effect of subjective inquiry is difficult to rule out
Relapse is a problem of heart addiction, and personal subjective judgment is also very important, but with the current practice of making subjective judgments limited to drug

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for establishing drug addiction relapse time estimation model through psychological scale

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Take a new drug addict to explain as follows:

[0038] New student A, when A is in the "education adaptation period", starts to build A's "personal health file" and "personal drug addiction motivation file". And when entering the "education and correction period" (within the first three days), ask A to fill in all the scales in the test tool according to A's own actual situation, and make the "Drug Motivation Scale" and "Drug Abuse Motivation Scale" count The score results are classified into the "Personal Drug Abuse Motivation File", and the score results of the "90-item Symptom Checklist (SCL-90)", "Self-Rating Depression Scale (SDS)" and "Self-Rating Anxiety Scale (SAS)" Included in "Personal Health Records".

[0039] When student A is in the "return guidance period" (within the last seven days), re-use the scale of the test tool for assessment, and file the scoring results in the same way as in the "education correction period".

[0040] After four periods of deto...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of information data processing. The invention discloses a method for establishing a drug addiction relapse time estimation model through a psychological scale. The method comprises the following steps: selecting in- institution personnel and new personnel of a drug abstinence institution who accord with testing object conditions, testing the personnel by using a drug addiction motivation scale tool and a drug abstinence motivation scale tool, and recording and filing the personnel and personal information (demographic variables) of the personnel together; tracking and investigating the time interval (objective index) between the time when testing objects leave the drug abstinence institution and the time when the testing objects enter the drug abstinence institution again due to relapse and the time (subjective index) when the testing objects contact drugs after leaving the drug abstinence institution; performing statistical analysis on thedata by using a statistical method, and establishing statistical models such as a drug addiction motivation scale, a drug rehabilitation motivation scale and demographic variables for predicting the relapse interval time and a drug addiction and rehabilitation motivation intensity division standard; obtaining a psychological health research data sample of the drug abstinence personnel during drugabstinence based on the record data; and providing a feasible method for evaluating the drug rehabilitation effect and the relapse possibility.

Description

technical field [0001] The invention belongs to the technical field of information data processing, and in particular relates to a method for establishing a drug addiction relapse time prediction model through a psychological scale. Background technique [0002] At present, the closest existing technology: how to evaluate whether a drug addict relapses (one of the indicators of drug rehabilitation effect) in the field of drug rehabilitation has always been a difficult problem, and it also plagues drug rehabilitation institutions. The current evaluation method of drug rehabilitation effect is mainly based on the drug rehabilitation situation in the drug rehabilitation center and the physical and mental health status in the drug rehabilitation center as the evaluation standard. The existence of this evaluation method has its convenience, but it is divorced from the practicality of reality, because the drug rehabilitation students in the institute have no chance to touch drugs,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G16H10/20G16H10/60G16H15/00G16H20/70G16H50/50
CPCG16H10/20G16H10/60G16H15/00G16H20/70G16H50/50
Inventor 汤永隆唐贵发王挥杰汤泰然
Owner SOUTHWEST UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products