Information platform system for anti-relapse management of substance addicts

Abstract

The invention discloses a material addict anti-recurrence management information platform system, which comprises an operation terminal subsystem and a management background subsystem, and is characterized in that an information acquisition module is used for data monitoring of a user, a self-evaluation module is used for acquiring a multi-dimensional subjective evaluation index, and an equipment connection and management module is used for acquiring a multi-dimensional objective evaluation index; the evaluation result recording module presents an evaluation result, and the intervention module is used for user intervention; the management background subsystem comprises an evaluation management module, an intervention management module and an external equipment module, and pushes personalized immediate intervention and long-term intervention information to the intervention module according to recurrence risk evaluation and multi-dimensional index evaluation results of the evaluation management module; and the external equipment module is used for connecting, setting and managing external physical sign recording equipment connected with the operation terminal subsystem. The system helps substance addicts to improve the ability of identifying and coping with recurrence risks, improves the self-effectiveness, helps to reduce the recurrence risks, and enables the substance addicts to maintain a healthy lifestyle for a long time.

Description

Technical Field

[0001] The present invention belongs to the technical field of preventive relapse management information platforms, and particularly relates to an information platform system for preventing relapse management of substance addicts. Background Art

[0002] Substance addiction is a chronic relapsing brain disease characterized by compulsive seeking and use of substances and loss of control over substances. Individuals repeatedly use substances, and the chemical components of the substances directly act on the brain, changing the structure and function of the brain's nervous system, and further promoting the behavior of seeking and using substances, ultimately leading to addiction. Addicts have a strong craving or impulse for substances, and withdrawal reactions such as general discomfort, irritability, mood swings, and sleep disorders occur when reducing or stopping the use of substances. After addicts withdraw from substances, they also face physical, psychological, emotional, and behavioral symptoms caused by internal and external addiction-related cues, which are also called relapse risk factors. These factors act together to cause the high relapse problem of substance addicts.

[0003] Therefore, the long-term management of relapse risk factors by the system is the core of reducing the relapse rate. However, there is currently a serious lack of professional intervention personnel and comprehensive intervention methods, and the high treatment costs are difficult for addicts to bear. Especially for drug addicts, the current drug rehabilitation intervention mainly conducts individual or group interventions in a face-to-face form in compulsory drug rehabilitation centers. After drug addicts released from compulsory isolation return to life, they need to face the temptations of life and drug friends again. Due to their drug use history, they suffer from social discrimination, lack of understanding from their relatives, and a high incidence of negative emotions. Multiple relapse risk factors are important reasons for the high relapse rate. There is an urgent need for systematic and effective relapse prevention intervention methods to help them reduce the relapse risk, maintain abstinence for a long time, and maintain a healthy and positive lifestyle. In addition, for community-based rehabilitation personnel and voluntary drug rehabilitation personnel, there is also a lack of low-cost, systematic, and long-term sustainable relapse prevention intervention methods. Summary of the Invention

[0004] In order to solve the problem of the lack of long-term monitoring of substance addicts, management of daily relapse risks and cravings in existing intervention methods and platforms, the present invention provides an information platform system for preventing relapse management of substance addicts, which helps substance addicts improve their ability to identify and cope with relapse risks, enhance their self-efficacy, helps reduce relapse risks, and enables them to maintain a healthy lifestyle for a long time.

[0005] The specific solutions adopted are as follows:

[0006] An information platform system for relapse prevention management of substance addicts, the system includes an operation terminal subsystem and a management background subsystem. In the operation terminal subsystem, there are an information collection module, a self-assessment module, an evaluation result recording module, an intervention module, and a device connection and management module. The information collection module is used for data monitoring of the user's past history, trait characteristics, and daily dynamic status. The self-assessment module obtains the user's multi-dimensional subjective evaluation indicators. The device connection and management module is connected to an external physical sign recording device to obtain multi-dimensional objective evaluation indicators. The evaluation result recording module is used to present the evaluation results, and the intervention module is used to intervene with the user.

[0007] The management background subsystem includes an evaluation management module, an intervention management module, and an external device module. The evaluation management module is used to store and manage scales, relapse risk assessments, and subjective and objective evaluation records of daily psychology, emotions, physiology, and behaviors. The intervention management module is used to store and manage intervention-related text, audio, and video intervention information, and according to the relapse risk assessment and multi-dimensional index evaluation results of the evaluation management module, it pushes personalized immediate intervention and long-term intervention information to the intervention module. The external device module is used to connect, set, and manage the external physical sign recording device connected to the operation terminal subsystem.

[0008] Further, the management background subsystem also includes:

[0009] A user management module, including an information management module for the past substance use history, withdrawal history, psychological traits, social functions, and behavior habits of substance addicts, a management sub-module for daily information monitoring, intervention records, and external device physiological records of users, and a user personal information file management module.

[0010] A manager module, including a sub-module for personalized setting and management of the evaluation and intervention functions of individual users or user groups, and a sub-module for opening and managing artificial transfer and external devices.

[0011] A transfer to artificial module, used to set and manage the user's permission to transfer to artificial consultation.

[0012] A database, used to store all the data of the platform system.

[0013] Even further, the management background subsystem also includes a timing evaluation module, used to regularly push the relapse risk assessment information, multi-dimensional subjective and objective evaluation indicators required by the evaluation management module to the operation terminal subsystem, and the intervention management module pushes adjusted intervention information to the intervention module according to the evaluation results.

[0014] Further, the intervention management module includes:

[0015] Craving management sub-module, including identification of risk factors for craving induction, protective factors, craving state identification, and craving state management;

[0016] Emotion management sub-module, including relaxation training, emotional catharsis, and emotional regulation ability training;

[0017] Psychological management sub-module, including cognitive-behavioral training and mindfulness training;

[0018] Behavior management sub-module, including management of healthy lifestyle habits, which reminds users through information to reduce unhealthy behaviors and maintain healthy behaviors.

[0019] Preferably, the multi-dimensional subjective evaluation indicators include substance craving, anxiety, depression, stress, sleep quality, and relapse risk events; the multi-dimensional objective evaluation indicators are physiological data of stress, emotion, and sleep collected by an external physical sign recording device.

[0020] Furthermore, the evaluation management module combines the multi-dimensional subjective evaluation indicators and multi-dimensional objective evaluation indicators of the user to evaluate and calculate the comprehensive relapse risk score R, and its calculation formula is:

[0021] R = R 主观 i + R 客观 j

[0022]

[0023] R 主观 Relapse risk score of subjective indicators, R 客观 Relapse risk score of objective indicators;

[0024] V 主观i represents the average value of the i-th subjective evaluation indicator;

[0025] V 客观j represents the average value of the j-th objective evaluation indicator;

[0026] W 主观i represents the weight of the i-th subjective evaluation indicator;

[0027] W 客观j represents the weight of the j-th objective evaluation indicator;

[0028] N represents the total number of subjective evaluation indicators;

[0029] m represents the total number of objective evaluation indicators;

[0030] The evaluation management module uses linear transformation and Z - score normalization methods to standardize the collected multi - dimensional subjective evaluation index data and multi - dimensional objective evaluation index data, and determines the weights of subjective evaluation indexes and objective evaluation indexes by using methods such as expert scoring, entropy method and their combined weighting method.

[0031] Further, if the comprehensive relapse risk score R obtained by the evaluation management module is less than 4, it is determined that the substance addict is at a low - risk level, and the intervention management module pushes the intervention methods of psychological management and behavior management to the intervention module;

[0032] If the comprehensive relapse risk score 4 ≤ R < 7 obtained by the evaluation management module, it is determined that the substance addict is at a medium - risk level, and the intervention management module pushes the intervention methods of emotion management, psychological management and behavior management to the intervention module;

[0033] If the comprehensive relapse risk score R obtained by the evaluation management module is greater than or equal to 7, it is determined that the substance addict is at a high - risk level, and the intervention management module pushes the intervention methods of craving management, emotion management, psychological management and behavior management to the intervention module, and at the same time provides professional guidance and psychological support once or twice a week.

[0034] Further, the evaluation management module sums up and aggregates the substance addicts in four dimensions of craving, emotion, psychology and behavior respectively to obtain the standard scores corresponding to the four dimensions, and sorts them according to the high and low of the standard scores; the intervention management module recommends intervention methods to the intervention module in descending order according to the obtained standard scores of the four dimensions.

[0035] Furthermore, the operation terminal subsystem is a WeChat mini - program on the mobile phone. The intervention module includes an emotion management module, a craving management module, a psychological management module, a behavior management module and an expert inquiry module. The intervention management module pushes corresponding emotion, craving, psychology, behavior and expert inquiry interventions to the corresponding modules of the intervention module.

[0036] The technical solution of the present invention has the following advantages:

[0037] A. The present invention preferably uses a WeChat mini - program as the operation terminal subsystem to collect the user's past history, trait characteristics and daily dynamic state data, and obtain the user's multi - dimensional subjective and objective evaluation indexes, which greatly improves the time efficiency of traditional professionals in collecting and sorting the data of substance addicts and the diversity of data. And combining the relapse risk assessment obtained by the evaluation management module with the multi - dimensional index evaluation results, using the intervention management module to provide personalized intervention methods for users, realizing instant intervention and long - term intervention, comprehensively recording the relapse risk factors and dynamic changes in daily life, regularly adjusting and optimizing the intervention plan, in order to achieve a more optimized intervention effect.

[0038] B. By combining subjective evaluation indicators, objective evaluation indicators and weight assignment in the evaluation management module, the system of the present invention obtains a comprehensive relapse risk score R, classifies the relapse risk of substance addicts into high, medium and low levels according to the value of the comprehensive relapse risk score R, and correspondingly configures intervention methods combined with craving management, emotion management, psychological management and behavior management at the corresponding levels. Moreover, the personalized priority recommendation intervention method is adopted, which has the advantages of strong pertinence and high efficiency in preventing relapse.

[0039] C. The system of the present invention can also establish an appointment method through a WeChat mini-program to conduct online guidance and psychological support with professionals. It can also provide specific intervention methods through face-to-face follow-up, regularly evaluate and evaluate the intervention effect, determine new intervention content in combination with the relapse risk level and the interview results, and push it to substance addicts until the relapse risk level is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the specific embodiments of the present invention, the drawings required for the specific embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0041] Figure 1 It is a composition diagram of the information platform system for preventing relapse management of substance addicts provided by the present invention;

[0042] Figure 2 It is a schematic diagram of the embodiment provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] The technical solutions of the present invention will be clearly and completely described below with reference to the drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the protection scope of the present invention.

[0044] Such as Figure 1As shown in the figure, the present invention provides an information platform system for preventing relapse management of substance addicts. The system includes an operation terminal subsystem and a management background subsystem. The operation terminal subsystem is provided with an information collection module, a self-assessment module, an evaluation result recording module, an intervention module, and a device connection and management module. The information collection module is used for monitoring data of the user's past history, trait characteristics, and daily dynamic status. The self-assessment module obtains the user's multi-dimensional subjective evaluation indicators. The device connection and management module is connected to an external physical sign recording device to obtain multi-dimensional objective evaluation indicators. Here, a bracelet or an electroencephalogram device is preferably used. For example, data such as heart rate, heart rate variability, steps, exercise, and sleep recorded by the bracelet, and data such as cerebral blood oxygen recorded by the electroencephalogram device. The evaluation result recording module is used for presenting the evaluation results, and the intervention module is used for intervening in the user. The management background subsystem is used for centrally managing user information, evaluation, and intervention content settings, as well as external device connections, and mainly includes an evaluation management module, an intervention management module, and an external device module. The evaluation management module is used for storing and managing scales, relapse risk assessments, and subjective evaluation records (self-assessment) and objective evaluation records (data recorded by external physical sign recording devices) of daily psychology, emotions, physiology, and behaviors. The intervention management module is used for storing and managing text, audio, and video intervention information related to interventions. According to the relapse risk assessment and multi-dimensional index evaluation results of the evaluation management module, it pushes personalized immediate intervention and long-term intervention information to the intervention module. Of course, these intervention information are intervention plans provided for the monitored user individual data. The external device module is used for connecting, setting, and managing external physical sign recording devices connected to the operation terminal subsystem.

[0045] The evaluation management module is used for storing and managing scales, relapse risk assessments, and subjective evaluation records (self-assessment) and objective evaluation records (data recorded by external physical sign recording devices) of daily psychology, emotions, physiology, and behaviors. The scales therein are used to measure the past drug use history, drug craving level, and trait personality, emotions, and sleep indicators of substance addicts. The scales used include, but are not limited to: Drug Craving Scale, Alcohol Craving Scale, Smoking Craving Scale, State-Trait Anxiety Inventory, Beck Depression Inventory, Minnesota Multiphasic Personality Inventory, Pittsburgh Sleep Quality Index, and Substance Use History Assessment. The quantity, intensity, and frequency of relapse risk assessment related factors. The relapse risk assessment content therein includes a quantitative assessment of risk events that may trigger relapse, such as exposure to addiction-related cues, exposure to addiction environments, exposure to addiction social situations, and a 10-point Likert scale of stress, anxiety, depression, sleep quality, self-efficacy, etc. in daily life; protective factors for preventing relapse, such as a quantitative assessment of social support, motivation for change, self-management, cognitive adjustment, emotion regulation, self-efficacy, and coping strategies; daily objective evaluation includes data such as heart rate, heart rate variability, steps, exercise, and sleep recorded by the bracelet. Of course, it is not limited to the above-mentioned objectively collected data.

[0046] The intervention management module is used to store and manage text, audio, and video information related to interventions. The intervention content in the present invention includes four intervention components, namely the ABCD components. Among them, the A component is the craving management sub-module, including the identification of risk factors for craving induction, protective factors, craving state identification, and craving state management; the B component is the emotion management sub-module, including relaxation training, emotional catharsis, and emotional regulation ability training; the C component is the psychological management sub-module, including cognitive-behavioral training and mindfulness training; the D component is the behavior management sub-module, including the management of healthy living habits, and the user is reminded by information to reduce unhealthy behaviors and maintain healthy behaviors. The present invention adopts corresponding intervention management strategies according to the level of the obtained relapse risk.

[0047] The external device module adopted by the present invention is used to connect, set, and manage external physical sign recording devices connected to the operation terminal subsystem, such as a bracelet or an electroencephalogram device.

[0048] Of course, as a further preferred embodiment of the present invention, the management background subsystem further includes: a user management module, a manager module, a transfer to human module, and a database. Among them, the user management module includes an information management module for the past substance use history, withdrawal history, psychological traits, social functions, and behavior habits of substance addicts, a management sub-module for daily information monitoring, intervention records, and external device physiological records of users, and a user personal information file management module; the manager module includes an evaluation and intervention function sub-module for personalized setting and management of individual users or user groups, and a sub-module for opening and managing manual transfer and external devices; the transfer to human module is used to set and manage the user's permission to transfer to manual consultation, for expert inquiry. When the user faces problems that they cannot handle themselves, they can connect to the manual service function through this module, and professionals can conduct online intervention on the user through WeChat or voice. Of course, it is also possible to achieve face-to-face communication and intervention between substance addicts and professionals through the active appointment method of the WeChat mini-program. The database is used to store all the data of the platform system.

[0049] In addition, the present invention further sets a timing evaluation module in the management background subsystem to realize the timing reminder for the user to collect data, and the system automatically completes the relapse risk assessment and intervention for the user.

[0050] The relapse risk assessment content includes the daily subjective assessment indicators and objective assessment indicators used by substance addicts through the WeChat mini-program. The daily subjective assessment indicators include substance craving, anxiety, depression, stress, sleep quality, relapse risk events; the objective assessment indicators include data such as stress, emotion, and sleep collected by the bracelet.

[0051] After the evaluation management module collects the data, it standardizes the data according to the methods of linear transformation and Z-score standardization. For multi-dimensional subjective evaluation indicators and multi-dimensional objective evaluation indicators, the expert scoring method, entropy method, or combined weighting method is used to determine the weights. After clarifying the subjective and objective evaluation indicators and their corresponding weights, the evaluation management module combines the subjective evaluation index records and objective evaluation index records of substance addicts to evaluate and calculate the comprehensive relapse risk score R. The calculation formula is:

[0052] R = R 主观i + R 客观j

[0053]

[0054] R 主观 Subjective index relapse risk score, R 客观 Objective index relapse risk score;

[0055] V 主观i represents the average value of the i-th subjective evaluation indicator;

[0056] V 客观j represents the average value of the j-th objective evaluation indicator;

[0057] W 主观i represents the weight of the i-th subjective evaluation indicator;

[0058] W 客观j represents the weight of the j-th objective evaluation indicator;

[0059] N represents the total number of subjective evaluation indicators;

[0060] m represents the total number of objective evaluation indicators.

[0061] As a further preferred embodiment of the present invention, the relapse risk is classified according to the value of the obtained comprehensive relapse risk score. The specific classification is as follows:

[0062] (1) If the comprehensive relapse risk score R obtained by the evaluation management module is less than 4, it is determined that the substance addict is at a low risk level, and the intervention management module pushes the intervention methods of psychological management and behavior management to the intervention module. The low risk level indicates that the relapse risk of the substance addict is relatively low. At this time, the overall situation of the user is good, and some consolidating support measures can be continued to prevent the increase of relapse risk, and attention should be paid to psychological management and behavior management to consolidate a healthy psychological state and encourage maintaining a healthy lifestyle.

[0063] (2) If the comprehensive relapse risk score obtained by the evaluation management module satisfies 4 ≤ R < 7, then it is determined that the substance addict is at the medium risk level. The intervention management module pushes the intervention methods of emotion management, psychological management, and behavior management to the intervention module. Some indicators at the medium risk level may have certain problems, which need to be concerned about and corresponding intervention measures should be taken to improve their mental state and reduce the relapse risk. The intervention management module mainly promotes emotional stability, improves psychological ability, reduces bad behavior habits, and promotes the formation of healthy behaviors.

[0064] (3) If the comprehensive relapse risk score R obtained by the evaluation intervention module is ≥ 7, then it is determined that the substance addict is at the high risk level. The intervention management module pushes the intervention methods of craving management, emotion management, psychological management, and behavior management to the intervention module, and at the same time provides guidance and psychological support by professionals (psychological counselors, social workers) 1 - 2 times a week, such as providing WeChat voice services. Multiple indicators at the high risk level may have relatively serious problems, and immediate emergency intervention measures need to be taken to reduce the possibility of their relapse.

[0065] The present invention sums up the evaluations of substance addicts in terms of craving, emotion, psychology, and behavior, and calculates the average score and standard score of each dimension. According to the standard scores (in the range of 0 - 10 points) of each dimension, the scores are sorted from high to low, providing a quantitative index for preferentially recommending personalized intervention methods. The present invention provides targeted recommended intervention methods from high to low according to the evaluation dimension ranking, realizing further personalized intervention on the basis of hierarchical intervention, and having a high efficiency in reducing the relapse risk.

[0066] Specifically, the operation terminal subsystem preferably adopts the WeChat mini-program on the mobile phone. The intervention module includes an emotion management module, a craving management module, a psychological management module, a behavior management module, and an expert inquiry module. The intervention management module pushes the corresponding emotion, craving, psychology, behavior, and expert inquiry interventions to the corresponding sub-modules of the intervention module. The present invention further sets up a management terminal in the operation terminal subsystem, including a user information query module, an evaluation and intervention information query module, and a management notification module under the management authority. The manager can make professional judgments through the user evaluation and intervention information, specify the corresponding sub-module in the intervention module, and assign it to the user.

[0067] Embodiment

[0068] As Figure 2 shown, the specific steps for the system of the present invention to operate using the WeChat mini-program are as follows:

[0069] (1) Registration and login: A drug addiction rehabilitation person visits this platform for the first time.

[0070] An individual enters the login interface of the mini-program through the mobile phone screen of the WeChat mini-program user terminal using a mobile phone number or WeChat ID. The user fills in the content of name, age, contact phone number, previous drug use history, and withdrawal history. After confirming the content, it is submitted to the user personal information file management module, and then, under the system prompt, the smart bracelet is connected to the mini-program.

[0071] (2) Initial assessment and filing:

[0072] The initially established personal information file module activates the initial assessment function in the assessment management module, selects the Drug Craving Scale, State-Trait Anxiety Inventory, Beck Depression Inventory, and Pittsburgh Sleep Quality Index stored in the assessment management module, and sends them to the mobile phone screen of the WeChat mini-program user terminal for the user to fill in and submit to the database. At the same time, the stress, emotion, and sleep data of the smart bracelet of this person for one day are collected. Assume that the system has determined the weights of each index according to the expert scoring method and the entropy method, and has standardized the data collected by the smart bracelet. The subjective assessment index scores and the standardized scores of the objective assessment indexes are as follows:

[0073] Subjective assessment index scores: Anxiety 8 points, Depression 6 points, Stress 7 points (with a full score of 10 points for all). Standardized scores of objective assessment indexes: Stress index 5 points (calculated through parameters such as HRV, with a full score of 10 points), Emotion index 6 points (calculated through parameters such as heart rate and respiratory rate, with a full score of 10 points), Sleep index 7 points (including indexes such as sleep duration and deep sleep ratio, with a full score of 10 points). Assume that the total weight of the subjective assessment indexes is 0.6 (where the weights of anxiety, depression, and stress are 0.28, 0.22, and 0.10 respectively), and the total weight of the objective assessment indexes is 0.4 (where the weights of stress, emotion, and sleep are 0.14, 0.16, and 0.10 respectively). Then the comprehensive recurrence risk score R can be calculated as:

[0074] R = 0.28×8 + 0.22×6 + 0.10×7 + 0.14×5 + 0.16×6 + 0.10×7 = 6.42

[0075] According to the score of the comprehensive recurrence risk score R, it can be judged that the user is at a medium risk level, and the anxiety emotion is more serious compared with other indexes.

[0076] (3) Grading and personalized intervention:

[0077] Based on the evaluation results, in the next two weeks, the Intervention Management Module will push the intervention components B, C, and D with medium risks, namely the intervention content of emotion management, psychological management, and behavior management. And for the person with high anxiety, the relaxation exercises for reducing anxiety in emotion management will be pushed preferentially, twice a day, morning and evening, for 10 minutes each time; secondly, for the problem of poor sleep, a reminder of healthy behavior patterns before going to bed will be pushed at 10 pm every night, and sleep-aiding music will be played.

[0078] (4) Dynamic Monitoring:

[0079] In the subsequent four weeks, the Evaluation Management Module will remind the user to fill in the daily emotions, physical feelings, recurrence risk events, and drug craving degree every day through the management notification module on the management side. The WeChat mini-program will collect the daily stress, sleep start and end times, and sleep quality of the bracelet.

[0080] (5) Regular Evaluation: Four weeks later, the Evaluation Management Module will push the user to fill in the Generalized Anxiety Disorder Scale, Beck Depression Inventory, Pittsburgh Sleep Quality Index, and Drug Craving Scale.

[0081] (6) Intervention Effect Evaluation: The therapist receives the scale evaluation results of this user and the data of the four-week dynamic monitoring from the management background subsystem, evaluates the intervention effect in the four weeks, and re-evaluates the comprehensive recurrence risk level.

[0082] (7) Follow-up: Make a follow-up appointment for substance addicts through the management notification module, and send the follow-up and follow-up time to the user side of the WeChat mini-program. Subsequently, through phone calls or face-to-face interviews, further understand the recent life and psychological state of substance addicts, and make a comprehensive evaluation and judgment of the intervention effect.

[0083] (8) Adjust the Intervention Plan: The therapist determines the new intervention content in the Intervention Management Module according to the new comprehensive recurrence risk level and the interview results, and pushes it to the substance addict user.

[0084] The parts not described in the present invention are applicable to the prior art.

[0085] Obviously, the above embodiments are only examples for clear illustration and are not limitations on the implementation manners. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation manners here. And the obvious changes or modifications derived therefrom are still within the protection scope of the present invention.

Claims

1. An information platform system for the prevention and relapse management of substance addicts, characterized in that: The system includes an operation subsystem and a management backend subsystem. The operation subsystem is provided with an information collection module, a self-assessment module, an assessment result recording module, an intervention module, and a device connection and management module. The information collection module is used to monitor the user's past history, idiosyncratic characteristics, and daily dynamic status data. The self-assessment module obtains the user's multi-dimensional subjective assessment indicators. The device connection and management module is connected to an external vital sign recording device to obtain multi-dimensional objective assessment indicators. The assessment result recording module is used to present the assessment results. The intervention module is used to intervene in the user. The management backend subsystem includes an assessment management module, an intervention management module and an external device module. The assessment management module is used to store and manage scales, relapse risk assessments, and subjective and objective assessment records of daily psychology, emotions, physiology and behavior; the intervention management module is used to store and manage intervention-related text, audio, and video intervention information, and pushes personalized immediate intervention and long-term intervention information to the intervention module based on the relapse risk assessment and multi-dimensional indicator assessment results of the assessment management module; The external device module is used to connect, set and manage the external vital sign recording device connected to the operation terminal system.

2. The information platform system for preventing relapse of substance addicts according to claim 1, characterized in that: The management backend subsystem also includes: User management module, including information management module for substance addicts’ history of substance use, withdrawal history, psychological traits, social functions, and behavioral habits, management submodules for user daily information monitoring, intervention records, and external device physiological records, and user personal information archive management module; The manager module includes a submodule for personalized settings and management of assessment and intervention functions for individual users or user groups, and a submodule for opening and managing manual transfers and external devices; The manual transfer module is used to set and manage the user's permission to transfer manual consultation; Database, used to store all data of the platform system.

3. The information platform system for preventing relapse of substance addicts according to claim 2 is characterized in that: The management backend subsystem also includes a timing evaluation module, which is used to regularly push the recurrence risk evaluation information and multi-dimensional subjective and objective evaluation indicators required by the evaluation management module to the operation subsystem, and the intervention management module pushes the adjusted intervention information to the intervention module based on the evaluation results.

4. The information platform system for preventing relapse of substance addicts according to claim 1, characterized in that: The intervention management module includes: The craving management submodule includes the identification of risk factors for craving induction, protective factors, craving state identification, and craving state management; The emotion management submodule includes relaxation training, emotion catharsis and emotion regulation ability training; a psychological management submodule, including cognitive behavioral training and mindfulness training; The behavior management submodule includes healthy lifestyle habit management, which reminds users through information to reduce unhealthy behaviors and maintain healthy behaviors.

5. The information platform system for preventing relapse of substance addicts according to any one of claims 1 to 4, characterized in that: The multidimensional subjective evaluation indicators include substance craving, anxiety, depression, stress, sleep quality and recurrence risk events; the multidimensional objective evaluation indicators are stress, emotion and sleep physiological data collected by external vital sign recording equipment.

6. The information platform system for preventing relapse of substance addicts according to claim 1, characterized in that: The evaluation management module combines the user's multi-dimensional subjective evaluation index and multi-dimensional objective evaluation index to evaluate and calculate the comprehensive recurrence risk score R, and the calculation formula is: R=R 主观 i+R 客观 j R 主观 Subjective index recurrence risk score, R 客观 Objective indicator recurrence risk score; V 主观i represents the average value of the i-th subjective evaluation index; V 客观j represents the average value of the jth objective evaluation index; W 主观i represents the weight of the i-th subjective evaluation index; W 客观j represents the weight of the jth objective evaluation indicator; N represents the total number of subjective evaluation indicators; m represents the total number of objective evaluation indicators; The evaluation management module uses linear transformation and Z-score standardization methods to standardize the collected multi-dimensional subjective evaluation index data and multi-dimensional objective evaluation index data, and uses expert scoring, entropy value method and their combined weighting method to determine the weights of subjective evaluation indicators and objective evaluation indicators.

7. The information platform system for preventing relapse of substance addicts according to claim 6, characterized in that: If the comprehensive relapse risk score R obtained by the assessment management module is less than 4, the substance addict is judged to be at a low risk level, and the intervention management module pushes intervention methods of psychological management and behavioral management to the intervention module; If the comprehensive relapse risk score obtained by the assessment management module is 4≤R<7, the substance addict is judged to be at a medium risk level, and the intervention management module pushes intervention methods of emotion management, psychological management and behavioral management to the intervention module; If the comprehensive relapse risk score R obtained by the assessment management module is ≥ 7, the substance addict is judged to be at a high risk level, and the intervention management module pushes intervention methods of craving management, emotion management, psychological management and behavior management to the intervention module, and provides guidance and psychological support from professionals 1-2 times a week.

8. The information platform system for preventing relapse of substance addicts according to claim 7, characterized in that: The assessment management module adds up and summarizes the four dimensions of craving, emotion, psychology and behavior of substance addicts respectively, obtains standard scores of the corresponding four dimensions, and sorts them according to the standard scores; The intervention management module recommends intervention methods to the intervention module in descending order according to the obtained standard scores of the four dimensions.

9. The information platform system for preventing relapse of substance addicts according to claim 5, characterized in that: The operating terminal system is a WeChat applet on the mobile phone. The intervention module includes an emotion management module, a desire management module, a psychological management module, a behavior management module and an expert inquiry module. The intervention management module pushes corresponding emotion, desire, psychology, behavior and expert inquiry interventions to the modules corresponding to the intervention modules.

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