WeChat applet-based smoking cessation management method and system
By collecting and analyzing user data through WeChat mini programs, personalized smoking cessation plans are generated and online support is provided. This solves the problems of insufficient coverage and lack of personalization in existing technologies, achieving broader coverage of smoking cessation services and continuous intervention, and improving the success rate of smoking cessation and data management efficiency.
Patent Information
- Application Number
- CN202511743367.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-25
- Publication Date
- 2026-02-24
AI Technical Summary
Existing mobile smoking cessation methods have insufficient coverage and lack personalized recommendation programs, while offline smoking cessation services have low usage rates, rely on manual labor, and are costly.
By collecting user characteristic information and smoking cessation questionnaire data through WeChat mini programs, personalized user profiles are generated, smoking cessation plans are automatically matched and pushed, and an online communication community is built to provide personalized intervention measures and emergency support. Combined with data analysis and reward mechanisms, user participation is improved.
It has improved the coverage and accessibility of smoking cessation services, provided personalized and scientific smoking cessation programs, enhanced the continuity and participation in the smoking cessation process, and achieved efficient data management and effect evaluation.
Smart Images

Figure CN121565373A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of smoking cessation control technology, and more specifically to a smoking cessation management method and system based on WeChat mini-program. Background Technology
[0002] Currently, tobacco dependence is a chronic, highly relapsing disease, essentially nicotine dependence. Nicotine is present in the smoke from cigarettes, cigars, pipes, and smokeless tobacco; smoking is a rapid and effective way to ingest nicotine. Clinical studies show that tobacco dependence is a chronic, highly relapsing disease, with most smokers experiencing relapse after quitting. Long-term smoking is harmful to health, thus requiring further strengthening of smoking cessation management and awareness campaigns. Mobile health technologies (such as WeChat mini-programs) are undergoing revolutionary development in the field of smoking cessation, with their core advantage being the provision of real-time, personalized, and highly accessible intervention support, offering a new pathway for tobacco and smoking cessation management.
[0003] However, existing mobile smoking cessation methods still suffer from insufficient coverage and a lack of personalized recommendations.
[0004] Therefore, how to provide a smoking cessation management method based on WeChat mini-program that can solve the above problems is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention
[0005] In view of this, the present invention provides a smoking cessation management method and system based on WeChat mini-programs, which personalizes intervention strategies based on relevant user data, automatically collects user smoking cessation behavior data, quantifies intervention effects, and solves problems such as low utilization rate of offline smoking cessation services, reliance on manual labor, and high costs.
[0006] To achieve the above objectives, the present invention adopts the following technical solution: A smoking cessation management method based on WeChat mini-program includes the following steps: Collect user characteristic information and smoking cessation questionnaire data from smokers, and preprocess the user characteristic information and smoking cessation questionnaire data; The user profile is generated by analyzing the preprocessed user characteristic information and smoking cessation questionnaire data through a WeChat mini program. Automatically match smoking cessation programs based on user profiles; The system will push matching smoking cessation plans to users, who can then implement personalized smoking cessation interventions through a WeChat mini-program.
[0007] Preferred options also include: Build an online communication community and match similar users based on the user characteristic information.
[0008] Preferred options also include: When a user experiences an emergency, the user can search for keywords related to the emergency through a WeChat mini program and determine an emergency plan based on the search results. When no corresponding emergency solution is found, the WeChat mini program stores the search results and uploads them to the administrator terminal. The administrator terminal analyzes the search results and supplements the emergency solution accordingly.
[0009] Preferably, the specific procedures for implementing smoking cessation intervention include: The smoking cessation program will be pushed to users via WeChat mini-program; The smoking cessation program is analyzed to obtain the corresponding staged smoking cessation sub-programs; The user executes the described phase of the smoking cessation sub-program.
[0010] Preferably, the specific processing steps for a user to execute the aforementioned phased smoking cessation sub-plan include: Real-time tracking of monitoring data during the execution of the aforementioned smoking cessation sub-program, and processing of the monitoring data; Based on the processing results, it is determined whether the smoking cessation plan needs to be adjusted, and personalized suggestions are generated.
[0011] Preferably, the specific procedures for implementing smoking cessation intervention also include: The monitoring data is analyzed and processed to obtain the corresponding analysis and processing results; A smoking cessation decision analysis model is constructed, and the analysis results are input into the smoking cessation decision analysis model for predictive analysis. Based on the predictive analysis results, the smoking cessation success rate, influencing factors, and success rate threshold are determined. When the smoking cessation success rate is greater than the success rate threshold, a reward mechanism is pushed to the user through the WeChat mini program.
[0012] Preferably, the specific procedures for implementing smoking cessation intervention also include: When the smoking cessation success rate is less than or equal to the success rate threshold, an early warning program is triggered through the WeChat mini program. The process data of the influencing factors are obtained and analyzed to obtain corresponding personalized improvement suggestions.
[0013] This invention also provides a smoking cessation management system based on WeChat mini-programs, comprising: The data acquisition module is used to collect user characteristic information and smoking cessation questionnaire data of smokers, and to preprocess the user characteristic information and smoking cessation questionnaire data. The analysis module is used to analyze the preprocessed user characteristic information and smoking cessation questionnaire data through a WeChat mini program to generate user profiles. The generation module is used to match smoking cessation programs based on user profiles; The intervention module is used to push matching smoking cessation plans to users, who can then implement personalized smoking cessation interventions through a WeChat mini-program.
[0014] As can be seen from the above technical solution, compared with the prior art, the present invention discloses a smoking cessation management method and system based on WeChat mini-program, which has the following beneficial effects: 1. Improve the accessibility and expand the coverage of smoking cessation services. By using the method provided by this invention, the limitations of time and space can be broken, allowing users to obtain smoking cessation support anytime and anywhere, reducing the threshold and cost of traditional face-to-face smoking cessation counseling; covering a wider range of people, especially smokers in areas with insufficient medical resources; and enabling large-scale simultaneous intervention through the digitalization of mini-programs. 2. Provide personalized and scientific smoking cessation programs. This invention customizes smoking cessation programs based on user characteristic information and smoking cessation questionnaire data. It dynamically adjusts support plans through data tracking to ensure the scientific and professional nature of the intervention. It solves the problems of low utilization rate, reliance on manual labor, and high cost of offline smoking cessation services, and combines multiple intervention methods to form multi-dimensional support. 3. Enhance the continuity and participation in the smoking cessation process. This invention maintains user participation through a two-way monitoring mechanism and a reward mechanism, reduces loneliness by utilizing social functions (such as group support and peer encouragement), provides long-term follow-up and relapse prevention guidance, and avoids relapse after quitting smoking; the early warning mechanism detects "lazy" users, notifies the administrator, and discusses improvement plans. 4. Achieve efficient data management and performance evaluation This invention automatically collects user smoking cessation behavior data, quantifies the intervention effect, provides researchers with real evidence to optimize smoking cessation strategies, and supports public health policy formulation and resource allocation decisions. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.
[0016] Figure 1 The present invention provides an overall flowchart of a smoking cessation management method based on a WeChat mini-program; Figure 2 A schematic diagram of the main interface of a WeChat mini-program for smoking cessation management provided in an embodiment of the present invention; Figure 3This is a schematic diagram of the task list interface of a WeChat mini-program for smoking cessation management provided in an embodiment of the present invention; Figure 4 A schematic diagram of the popular science interface of the smoking cessation management WeChat mini program provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the withdrawal symptom interface of the smoking cessation management WeChat mini-program provided in an embodiment of the present invention; Figure 6 This invention provides a structural principle block diagram of a smoking cessation management system based on a WeChat mini-program. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0018] See Figure 1 As shown in the figure, this invention discloses a smoking cessation management method based on a WeChat mini-program, including the following steps: Collect user characteristic information and smoking cessation questionnaire data of smokers, and preprocess the user characteristic information and smoking cessation questionnaire data. The user characteristic information may include basic user information, smoking status, smoking motivation, historical smoking cessation data, and health status. The smoking cessation questionnaire data may include smoking amount, smoking duration, triggers, nicotine dependence test (FTND) data, etc. The preprocessing process includes, but is not limited to, outlier removal, normalization and other processing processes. The user profile is generated by analyzing the preprocessed user characteristic information and smoking cessation questionnaire data through a WeChat mini program. Automatically match smoking cessation programs based on user profiles; The matched smoking cessation plan is pushed to the user, who can then implement personalized smoking cessation interventions through a WeChat mini program.
[0019] Specifically, the process of generating user profiles may include: Cluster analysis is performed on the preprocessed user feature information and smoking cessation questionnaire data, and then the data is classified according to the cluster analysis results. The classification algorithm can be a random forest model, and the final user profile can include smoking cessation behavior characteristics and smoking cessation psychological characteristics.
[0020] The specific process of generating corresponding smoking cessation plans based on user profiles may include: User profiles are extracted into smoking cessation behavioral characteristics and smoking cessation psychological characteristics, and these characteristics are then fused to obtain the corresponding fused characteristics. A smoking cessation program database was constructed, and similarity matching of the smoking cessation program database was performed using fusion features. Programs that meet the requirements were selected based on thresholds. When multiple smoking cessation plans meet the threshold requirements, they are merged through an expert consultation database to generate the final smoking cessation plan.
[0021] In one specific embodiment, it also includes: Build an online communication community and match similar users based on the user characteristic information.
[0022] Specifically, this invention constructs a community-like function similar to an online communication community, where users can post, share experiences, and encourage each other. It can also intelligently match users based on their characteristics (such as basic user information and smoking status). When similar users are matched as smoking cessation partners, they form an independent community, using the group effect to promote the smooth implementation of smoking cessation measures.
[0023] In one specific embodiment, it also includes: When a user experiences an emergency, the user can search for keywords related to the emergency through a WeChat mini program and determine an emergency plan based on the search results. When no corresponding emergency solution is found, the WeChat mini program stores the search results and uploads them to the administrator terminal. The administrator terminal analyzes the search results and supplements the emergency solution. After analysis, the administrator adds corresponding content, continuously improves the content, and gradually covers user needs.
[0024] In one specific embodiment, the specific process for conducting smoking cessation intervention includes: The smoking cessation program will be pushed to users via WeChat mini-program; The smoking cessation program is analyzed to obtain the corresponding staged smoking cessation sub-programs; The user executes the described phase of the smoking cessation sub-program.
[0025] Specifically, in this embodiment of the invention, based on the dynamic changes in preparation level, motivation level, and behavioral state during the smoking cessation process—that is, based on the smoker's attitude, intention, and actual action stages—the smoking cessation process is divided into progressive stages with distinct characteristics, resulting in corresponding staged smoking cessation sub-plans, as detailed in Table 1. The corresponding WeChat mini-program interface can be found in [link to WeChat mini-program interface]. Figures 2-5 As shown.
[0026] Table 1 Distribution of progressive stages in smoking cessation
[0027] In one specific embodiment, the specific processing procedure for a user to execute the phased smoking cessation sub-program includes: The system tracks and processes the monitoring data of users during the execution of the smoking cessation sub-program in real time. The monitoring data may include data such as withdrawal symptoms and cravings for cigarettes. Based on the processing results, it is determined whether the smoking cessation plan needs to be adjusted, and personalized suggestions are generated. The processing of monitoring data and the generation of personalized suggestions can be achieved through machine learning algorithms (such as convolutional neural networks).
[0028] In one specific embodiment, the specific process for conducting smoking cessation intervention also includes: The monitoring data is analyzed and processed to obtain the corresponding analysis and processing results; A smoking cessation decision analysis model is constructed, and the analysis results are input into the smoking cessation decision analysis model for predictive analysis. Based on the predictive analysis results, the smoking cessation success rate, influencing factors, and success rate threshold are determined. The smoking cessation decision analysis model can be any one or more of the following models: decision tree model, support vector machine, etc. When the smoking cessation success rate is greater than the success rate threshold, a reward mechanism is pushed to the user through the WeChat mini program.
[0029] In one specific embodiment, the specific process for conducting smoking cessation intervention also includes: When the smoking cessation success rate is less than or equal to the success rate threshold, an early warning program is triggered through the WeChat mini program. The process data of the influencing factors are obtained and analyzed to obtain corresponding personalized improvement suggestions.
[0030] See Figure 6 As shown, this embodiment of the invention also provides a system for implementing the smoking cessation management method based on WeChat mini-programs described in any of the above embodiments, comprising: The data acquisition module is used to collect user characteristic information and smoking cessation questionnaire data from smokers, and to preprocess the user characteristic information and smoking cessation questionnaire data. The analysis module is used to analyze pre-processed user characteristic information and smoking cessation questionnaire data through WeChat mini-programs to generate user profiles; The generation module is used to quickly match smoking cessation programs based on user profiles; The intervention module is used to push matching smoking cessation plans to users, who can then implement personalized smoking cessation interventions through a WeChat mini-program.
[0031] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.
[0032] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A smoking cessation management method based on WeChat mini-program, characterized in that, Includes the following steps: Collect user characteristic information and smoking cessation questionnaire data from smokers, and preprocess the user characteristic information and smoking cessation questionnaire data; The user profile is generated by analyzing the preprocessed user characteristic information and smoking cessation questionnaire data through a WeChat mini program. Automatically match smoking cessation programs based on user profiles; The system will push matching smoking cessation plans to users, who can then implement personalized smoking cessation interventions through a WeChat mini-program.
2. The smoking cessation management method based on WeChat mini-program according to claim 1, characterized in that, Also includes: Build an online communication community and match similar users based on the user characteristic information.
3. The smoking cessation management method based on WeChat mini-program according to claim 1, characterized in that, Also includes: When a user experiences an emergency, the user can search for keywords related to the emergency through a WeChat mini program and determine an emergency plan based on the search results. When no corresponding emergency solution is found, the WeChat mini program stores the search results and uploads them to the administrator terminal. The administrator terminal analyzes the search results and supplements the emergency solution accordingly.
4. The smoking cessation management method based on WeChat mini-program according to claim 1, characterized in that, The specific procedures for implementing smoking cessation interventions include: The smoking cessation program will be pushed to users via WeChat mini-program; The smoking cessation program is analyzed to obtain the corresponding staged smoking cessation sub-programs; The user executes the described phase of the smoking cessation sub-program.
5. A smoking cessation management method based on a WeChat mini-program according to claim 4, characterized in that, The specific processing steps for users to execute the aforementioned phased smoking cessation sub-plan include: Real-time tracking of monitoring data during the execution of the aforementioned smoking cessation sub-program, and processing of the monitoring data; Based on the processing results, it is determined whether the smoking cessation plan needs to be adjusted, and personalized suggestions are generated.
6. A smoking cessation management method based on WeChat mini-program according to claim 5, characterized in that, The specific procedures for implementing smoking cessation interventions also include: The monitoring data is analyzed and processed to obtain the corresponding analysis and processing results; A smoking cessation decision analysis model is constructed, and the analysis results are input into the smoking cessation decision analysis model for predictive analysis. Based on the predictive analysis results, the smoking cessation success rate, influencing factors, and success rate threshold are determined. When the smoking cessation success rate is greater than the success rate threshold, a reward mechanism is pushed to the user through the WeChat mini program.
7. A smoking cessation management method based on a WeChat mini-program according to claim 6, characterized in that, The specific procedures for implementing smoking cessation interventions also include: When the smoking cessation success rate is less than or equal to the success rate threshold, an early warning program is triggered through the WeChat mini program. The process data of the influencing factors are obtained and analyzed to obtain corresponding personalized improvement suggestions.
8. A system utilizing the smoking cessation management method based on a WeChat mini-program as described in any one of claims 1-7, characterized in that, include: The data acquisition module is used to collect user characteristic information and smoking cessation questionnaire data of smokers, and to preprocess the user characteristic information and smoking cessation questionnaire data. The analysis module is used to analyze the preprocessed user characteristic information and smoking cessation questionnaire data through a WeChat mini program to generate user profiles. The generation module is used to match smoking cessation programs based on user profiles; The intervention module is used to push matching smoking cessation plans to users, who can then implement personalized smoking cessation interventions through a WeChat mini-program.