JP5572752B2 - Mental health management system, mental health management program, and mental health management method - Google Patents

Description

  The present invention relates to a mental health management system that manages the mental health aspects of users such as workers, and in particular, a mental health state (hereinafter also referred to as “health condition”) every time a user naturally goes to work. The present invention relates to a mental health management system, a mental health management program, and a mental health management method that can be input, and are suitable for quickly grasping the actual state of the mental health state of a user.

  In recent years, so-called mental illness and depression of working people are becoming social problems. For this reason, companies try to understand the mental health status of workers, and if necessary, managers have opportunities to meet with employees or conduct regular workshops. Is committed to managing the health of the elderly in terms of mental health.

  However, such mental fatigue and mental health problems are often concealed by workers due to the limitations of social activities, and may not be captured by regular interviews and examinations alone. However, since it may occur suddenly due to extreme pressure, there is a problem that it cannot be prevented only by screening every year or every six months. For this reason, systems that can check mental fatigue and mental health have been proposed (see, for example, Patent Documents 1, 2, and 3). These disclosed technologies in Patent Documents 1 and 2 are management systems that manage the mental health of workers using a computer, and cause the cause of illness based on the work situation such as overtime hours and holiday work of the workers. It is confirmed whether or not overwork (long working hours) that is considered to be performed, and the presence or absence of overwork is used for the health management of workers. As a result, a worker who is expected to have a health problem is discovered early, so that the company or the like can take early countermeasures against the worker.

  Through such disclosed techniques of Patent Documents 1 and 2, it is possible to grasp the mental illness of the worker and the state of mental health to some extent. For example, in the disclosed technology disclosed in Patent Document 1, work information such as a working hour record, a time recorder, a business trip record, and a work entry / exit record of each worker is acquired, and each worker has a physical and mental health abnormality based on this information. A system has been proposed for calculating the risk level.

  Further, in the disclosed technique of Patent Document 2, long-time workers are extracted based on the collected entrance / exit information and work information. Then, the instruction information for performing the health check is transmitted to the worker terminal of the long-time worker. The long-time worker creates health check information and transmits it to the health management data server. Then, the health management data server stores the received health check information in the health management database in association with the worker, and distributes it to the manager as necessary. Thereby, the manager can grasp the mental illness and mental health of the worker.

  Furthermore, in the technology disclosed in Patent Document 3, the occurrence of a mental illness of the worker can be detected at an early stage by checking the state of the worker several times during work through a computer. A worker's dangerous state can be easily detected.

JP 2003-256578 A JP 2006-243969 A JP 2008-129805 A

  However, in the disclosed technique of Patent Document 1, only work information such as a time recorder, a business trip record, a work entrance / exit record, and the like, a worker's own mental health state is not directly input. Although this work information and mental health status are certainly correlated to some extent, there are workers who do not clearly show such correlation, so it is possible to perform a mental health check on such workers. There was a problem that it was not possible.

  In general, workers who have developed mental illness often have late work, early retirement, and time off, and their working hours often decrease. However, the disclosed technique disclosed in Patent Document 2 described above involves overwork. It is said that a mental health check is performed only for those who have, there is a possibility that a worker who has developed a mental illness may be overlooked, and it is difficult to find a worker who has developed a mental illness there were.

  In addition, workers who have or are about to develop a mental illness often feel burdened by having a mental health self-check themselves increase their sense of facing their problems. . For this reason, it is important to collect natural information so that it is not necessary to face that the mental health condition is a problem as much as possible. However, the disclosed technology disclosed in Patent Document 3 described above may increase stress. There was a problem.

  In particular, workers can enter work time, lateness, and early departure time relatively easily, but there are cases where their mental health status cannot be consulted with managers or other workers. It may be difficult to report. For this reason, it was the current situation that mental health status had to be judged only from work information such as work hours, but this alone overlooked workers who had developed mental illness as described above. There still remains a problem that the possibility of being lost cannot be reduced.

  In recent years, the Ministry of Health, Labor and Welfare is trying to enhance self-care and line care by enhancing the website “Kokoro no Ito”. Here, when a worker who seems to have actually developed a mental illness occurs, there may be a resident industrial physician or mental health education for a large company. Since there are many systems that support managers who are likely to have illnesses and managers who manage the health status of workers, the next step is to support workers and managers. May advance. However, in small and medium-sized enterprises, the manager and the manager are often confused as to what to do as the next step.

  Therefore, the present invention has been devised in view of the above-described problems, and the purpose of the present invention is to enable a user such as a worker to input a mental health state naturally, thereby An object of the present invention is to provide a mental health management system, a mental health management program, and a mental health management method that can appropriately extract an abnormality in the mental health state of a user.

  The present invention also provides a mental health management system, a mental health management program, and a mental health management method that enable a user, administrator, and expert to quickly grasp the actual state of the mental health state of the user.

  Furthermore, the present invention provides a mental health management system, a mental health management program, and a mental health management method capable of supporting users and managers quickly and accurately based on the grasped worker's mental health status.

  The inventors of the present invention believe that changes in mental health conditions are not based on mood depression of the day, but that the values gradually decrease or increase, and that changes occur long and continuously. It is verified through research. And in order to pinpoint the big change (abnormal change) of such mental health condition, it is based on k times based on the stage selected by the user among the mental health states set in multiple stages. EAP (Employee) can be realized by determining a moving average value, determining whether the difference between the input stage and the moving average value exceeds a threshold value, and determining how many times the threshold value is exceeded. Assistance Program) was verified from the field, and an invention having the following configuration was devised.

In order to solve the above-described problems, the mental health management system to which the present invention is applied selects and inputs a stage indicating a state suitable for the user from among mental health states set in a plurality of stages. Calculate the moving average value of k times for the input terminal formed by the electronic device having the condition recording unit and the mental health state input at the input terminal registered in the condition result DB , and input the above Formed by an electronic device having a condition result analysis unit that determines the actual state of mental health status for each user based on whether or not there is a predetermined number of times that the difference between the measured stage and the moving average value exceeds a threshold The management server is provided. Here, k is a positive number. In the present invention, a user refers to a person who uses the present invention to grasp and confirm the actual state of his / her mental health state, such as a worker.

In addition, in order to solve the above-described problem, the mental health management program to which the present invention is applied has a user's self-condition among the mental health states set in a plurality of stages using the condition recording unit of the input means. It is input by selecting a stage indicating a matching state, and a moving average value consisting of k times is calculated for the mental health state stage input by the condition result analysis unit of the management server using the input means, and the input And causing the computer to determine the actual state of mental health status for each user based on whether there is a predetermined number of times that the difference between the stage and the moving average value is equal to or greater than a threshold value. And Here, k is a positive number.

In addition, the mental management method to which the present invention is applied is a method in which the user suits his / her self among mental health states set in a plurality of stages using the condition recording unit of the input means in order to solve the above-described problem. An input step for selecting and inputting the stage indicating the state, and a moving average value consisting of k times for the stage of the mental health state input in the input step by the condition result analysis unit of the management server is calculated, and the input A determination step of determining the actual state of mental health status for each user based on whether or not there is a predetermined number of times that the difference between the stage and the moving average value is equal to or greater than a threshold value. . Here, k is a positive number.

  According to the present invention having the above-described configuration, the mental health of the user is not based on the actual value of the mental health condition, but based on the relationship between the input stage, the difference between the moving average value, and the threshold value. Check the surface. In particular, this moving average is used when a user suddenly selects a high level mental health condition in the mood of the day and suddenly selects a low level mental health condition on the next day. Can not be regarded as a major change in mental health conditions. The inventor believes that major changes (abnormalities) in mental health conditions are not based on mood inflections of the day, but that the values gradually decrease or increase, and that changes occur long and continuously. It is verified through research. And in order to pinpoint such anomalies in mental health conditions, it is determined whether the difference between the input stage and the moving average value exceeds a threshold value, and the threshold value is set to how many times. It is verified that it can be realized by determining whether it exceeds or not, and has the above-described configuration. As a result, according to the present invention, it is possible to pinpoint abnormalities in mental health conditions.

  Further, by allowing the user to select from among mental health states set in a plurality of stages, the user can input his / her mental health state naturally and easily.

  Further, according to the present invention, in managing the mental health aspect of the user, in particular, the user can input the mental health state naturally, and the actual state of the user's mental health state is related to the user, the administrator, By notifying the specialist, the worker himself / herself can grasp his / her mental health state, and confirmation of the user's own mental health state is promoted. Further, according to the present invention, it becomes possible for an administrator or an expert to grasp the mental health state of the user more quickly, and the implementation of line care can be promoted.

It is a figure showing the whole mental health management system composition to which the present invention is applied. It is a block block diagram of the mental health management system to which this invention is applied. It is a flowchart which shows the process from the input of a worker's attendance time at the time of going to work and mental health condition to registration among the processing operations of the mental health management system to which the present invention is applied. It is a flowchart which shows the process from the input of a worker's leaving time at the time of leaving work and a mental health condition to registration in the processing operation of the mental health management system to which the present invention is applied. It is a flowchart which shows the result display process of attendance time and mental health condition among the processing operations of the mental health management system to which the present invention is applied. It is a flowchart which shows the analysis process and support information display process of attendance time and mental health condition among the processing operations of the mental health management system to which the present invention is applied. It is a figure which shows the attendance time and the condition recording screen displayed on the display screen of an individual input terminal. It is a figure for demonstrating the example which converts the mental health condition shown in FIG. 7 into numerical information. It is a figure which shows the other example of the attendance / leaving time and condition recording screen displayed on the display screen of an individual input terminal. It is a figure for demonstrating the example which converts the mental health condition shown in FIG. 9 into numerical information. It is a figure which shows the example of a work attendance time and the display of a condition result display screen. It is a figure which shows the other display example of attendance / leaving time and the condition result display screen. It is a figure which shows the other example of a display of a work time / condition and a condition result display screen. It is a figure which shows the other example of a display of a condition result display screen. It is a flowchart which shows the processing operation in the analysis process of the mental health condition of a management server, and a support information notification process among the processing operations of the mental health management system to which this invention is applied. It is a figure which shows the tendency of the change of mental health condition information at the time of a certain employee's attendance at work. It is a figure which shows the example which calculated | required statistical distribution of mental health information several times about the workers P-R. It is a figure which shows the example which displays assistance information in the assistance information display part in a terminal for managers. It is a figure which shows the example which displays the list of the support information for every worker in a support information display part.

  Hereinafter, as an embodiment of the present invention, a mental health management system, a mental health management program, and a mental health management method for managing a worker's mental health aspect will be described in detail with reference to the drawings. Here, in this embodiment, a user is assumed to be a worker and will be described below.

  The mental health management system 1 to which the present invention is applied, for example, as shown in FIG. 1, is assigned to a shared input terminal 2 and individual workers as input terminals for workers to input their mental health status. The individual input terminals 6a to 6c are provided, and the management server 3 is connected to the shared input terminal 2 and the individual input terminals 6a to 6c via the in-house network 4. An administrator terminal 5 is connected to the management server 3 via an in-house network 4. Furthermore, an EAP (Employee Assistance Program) terminal 7 is connected via the in-house network 4. Each input terminal 2, management server 3, individual input terminal 6, and EAP terminal 7 may be connected via an external communication network (not shown).

  The shared input terminal 2 is a concept including, for example, a personal computer (PC), a mobile information terminal such as a mobile phone, a smart phone, and a tablet terminal, and any other electronic device that can electrically input other information. This shared input terminal 2 is not assigned as a terminal dedicated to a specific worker, but is a terminal shared by each worker, and is arranged near the entrance / exit of a workplace such as a work card storage area, for example. It may be. Each worker can access the shared input terminal 2 when entering and leaving work and input his / her mental health state.

  The individual input terminals 6a to 6c are configured by electronic devices such as a personal computer (PC) and a tablet terminal. The individual input terminal 6 is arranged on the desk as a terminal dedicated to each worker, and enables each worker to access his / her own mental health state by accessing any time during working hours. Further, the individual input terminals 6a to 6c have a function as a device capable of confirming a worker's own mental health state in addition to a function as an input terminal. The individual input terminals 6 a to 6 c can receive information on their own mental health status and notifications about changes thereof from the management server 3.

  In the present invention, the configuration of either the shared input terminal 2 or the individual input terminals 6a to 6c may be omitted as an input terminal for inputting the worker's mental health state.

  The in-house network 4 is embodied by a LAN (Local Area Network) or the like installed in the company. The in-house network 4 has one end connected to the shared input terminal 2 and the individual input terminal 6 and the other end connected to the management server 3, thereby connecting the input terminals 2 and 6 to the management server 3. It is possible to transmit and receive information to and from each other. The in-house network 4 has one end connected to the manager terminal 5 and the other end connected to the management server 3 so that the manager terminal 5 can be connected to the management server 3. It becomes possible to transmit / receive information to / from each other.

  The management server 3 accumulates information from the shared input terminal 2 and the individual input terminal 6 and executes a predetermined process. The management server 3 may be connected to an electronic device or the like on which a CPU (Central Processing Unit) is mounted, and the predetermined processing may be performed through a program installed in the electronic device. Based on the accumulated information, the management server 3 determines the actual state of the mental health status for each worker and makes a determination on going and leaving work.

  The manager terminal 5 is composed of electronic devices such as a personal computer (PC) and a tablet terminal. The manager terminal 5 is a device dedicated to a manager who manages a worker, and is a device that allows only the manager to access and check the worker's mental health state. The manager terminal 5 can receive notifications from the management server 3 regarding the mental health status of each worker and changes thereof.

  The EAP terminal 7 is composed of electronic devices such as a personal computer (PC) and a tablet terminal. This EAP terminal 7 is arranged as a terminal of a specialist of psychological counseling that supports workers and managers based on the worker's mental health status, and allows the specialist to access and check the worker's mental health status. It is a device for. The EAP terminal 7 can receive from the management server 3 the mental health state of each worker and the changes thereof.

  In addition, the mental health management system 1 determines that the mental health state has changed by the management server 3, and if necessary, indicates that one or more of the workers, managers, or experts. Is provided with a notification means.

  FIG. 2 is a detailed view of each component of the mental health management system 1 to which the present invention is applied.

  The shared input terminal 2 includes a condition recording unit 21, an attendance and attendance result database (DB) 22, an attendance and attendance result display unit 23, a condition result display unit 24, and a condition result DB 25.

  The condition recording unit 21 includes a memory and a hard disk for recording the attendance time and time entered by the worker, the inputted mental health condition stage, or the mental health information quantified based on the stage. .

  The attendance and attendance result DB 22 includes a memory and a hard disk for recording information related to attendance and attendance including determination results regarding attendance and attendance transmitted from the management server 3. The attendance / leaving result DB 22 may share the configuration with the condition recording unit 21.

  Since this shared input terminal 2 may be used continuously by a plurality of users at the time of going and leaving, communication with the management server 3 may cause a decrease in response from the communication server 3 each time it is used. Concerned. For this reason, the contents used may be temporarily stored in the condition recording unit 21 of the shared input terminal 2 and then transmitted to the management server 3.

  The attendance and attendance result display section 23 is a display section such as a display for displaying information related to attendance and attendance including the determination result regarding attendance and attendance transmitted from the management server 3.

  In addition, the condition result display unit 24 is a display unit such as a display for displaying information on mental health conditions including a determination result on mental health conditions transmitted from the management server 3.

  In addition, the condition result DB 25 includes a memory and a hard disk for recording information on mental health conditions including a determination result on mental health conditions transmitted from the management server 3. The condition result DB 25 may share the configuration with the attendance / leaving result DB 22 and the condition recording unit 21.

  The management server 3 has an attendance / leaving result DB 31, a condition result DB 32, an attendance / leaving result analysis unit 33, a condition result analysis unit 34, a support information notification unit 35, and a user authentication DB 36.

  The attendance and attendance result DB 31 is a memory or hard disk for recording information related to attendance and attendance including determination results regarding attendance and attendance hours.

  The condition result DB 32 is a memory or a hard disk for recording information relating to mental health conditions including determination results relating to mental health conditions.

  The attendance / leaving result analysis unit 33 receives attendance information such as attendance / leaving time, early leaving time, lateness time, business trip time, etc. transmitted from the input terminals 2, 6 and analyzes it. The attendance / leaving result analysis unit 33 is composed of, for example, a computer.

  The condition result analysis unit 34 receives the stage of the mental health condition transmitted from the input terminals 2 and 6 or the numerical value of the mental health information quantified according to this stage, and analyzes it. The condition result analysis unit 34 is configured by a computer or the like for analyzing mental health conditions.

  When the support information notification unit 35 satisfies a predetermined condition as a result of the analysis by the attendance / leaving result analysis unit 33 or the condition result analysis unit 34, for example, when it is determined that the mental health state of the worker is abnormal, the administrator It functions as a notification means for notifying support information to the service terminal 5, the individual input terminal 6, and the EAP terminal 7.

  The user authentication DB 36 is a memory or hard disk for recording IDs necessary for authentication of managers, workers, and specialists who use this system.

  Incidentally, the attendance and attendance result DB 31, the condition result DB 32, and the user authentication DB 36 may all be configured with a common memory or hard disk. Further, the attendance / leaving result analysis unit 33 and the condition result analysis unit 34 may share the same configuration.

  The mental health management system 1 in this embodiment includes the input terminals 2 and 6 and the management server 3 as separate terminals. However, the present invention is not limited to this, and the functions of the input terminal and the management server You may comprise as an integrated apparatus provided with these functions.

  The manager terminal 5 has an attendance / condition / status display unit 51 and a support information display unit 52.

  The attendance / exit / condition result display unit 51 is a display unit such as a display for displaying information related to a worker's attendance / exit and information regarding a mental condition when the information is received.

  The support information display unit 52 is a display unit such as a display for displaying support information transmitted from the support information notification unit 35 in the management server 3 to the administrator.

  The individual input terminal 6 includes a condition recording unit 61, an attendance / condition result display unit 62, and a support information display unit 63.

  The condition recording unit 61 includes a memory and a hard disk for recording the attendance time and time input by the worker, the stage of the mental health condition, or the numerical value of the mental health information quantified according to this stage. That is, the condition recording unit 61 simply records these information, and the recorded information is registered on the management server 3 side.

  Unlike the shared input terminal 2, the individual input terminal 6 is unlikely to be frequently accessed for communication toward the management server 3 without a plurality of workers performing input operations in exchange. Therefore, the individual input terminal 6 may make a registration request to the management server 3 as it is without temporarily storing it in the database like the shared input terminal 2.

  The attendance / exit / condition result display unit 62 displays information related to attendance / exit including the determination result related to attendance / exit transmitted from the management server 3, and information related to mental health condition including the determination result related to mental health condition transmitted from the management server 3. It is a display unit such as a display for displaying.

  The support information display unit 63 is a display unit such as a display for displaying the support information transmitted from the support information notification unit 35 in the management server 3 to the administrator.

  The EAP terminal 7 has an attendance / condition / condition result display unit 71 and a support information display unit 72 as in the case of the manager terminal 5.

  When the attendance / exit / condition result display unit 71 receives information on the worker's attendance / exit including the determination result regarding attendance / exit transmitted from the management server 3 and information on the mental health condition including the determination result regarding the mental health condition, This is a display unit such as a display for displaying this.

  The support information display unit 72 is a display unit such as a display for displaying support information transmitted from the support information notification unit 35 in the management server 3 to an expert.

  Next, the processing operation of the mental health management system 1 having the above-described configuration will be described. 3 to 6 are process operation flowcharts of the mental health management system 1.

  FIG. 3 is a flowchart showing the steps from the entry to registration of a worker's attendance time and mental health condition at the time of attendance. First, if there is an authentication request from the individual input terminal 6 in step S11, that fact is transmitted to the management server 3. The case where there is an authentication request from the individual input terminal 6 in step S11 corresponds to a case where the working hours and the mental health state are input when the worker goes to work. When a worker who actually operates the individual input terminal 6 makes an authentication request, the employee ID and the like are input via the individual input terminal 6 in accordance with instructions displayed on the display screen of the individual input terminal 6. To do. The entered employee ID is transmitted to the management server 3 via the in-house network 4.

  In step S <b> 12, if there is an authentication request from the administrator terminal 5, the fact is transmitted to the management server 3. When an administrator who actually operates the administrator terminal 5 makes an authentication request, according to an instruction displayed on the display screen of the administrator terminal 5, the administrator ID 5 is assigned to the administrator terminal 5. Input through. The inputted administrator ID is transmitted to the management server 3 via the in-house network 4.

  Incidentally, these steps S11 and S12 are not limited to being performed simultaneously, and of course, only one of them may be performed. If at least one of steps S11 and S12 is executed, the process proceeds to step S13.

  In step S13, the management server 3 performs an authentication process. In this authentication process, when the employee ID is received, the following steps are executed only when collating with the employee ID recorded in the user authentication DB 36. Similarly, when the management server 3 receives the manager ID in step S13, the management server 3 executes the following steps only when collating with the manager ID recorded in the user authentication DB 36. It will be.

  Next, when the authentication process in the management server 3 is completed in step S <b> 14, an attendance time and condition recording request is made from the individual input terminal 6 to the management server 3. When the management server 3 receives the attendance time and condition recording request from the individual input terminal 6, the process proceeds to step S15.

  The management server 3 generates an attendance time and condition recording screen when the process proceeds to step S15.

  Next, the process proceeds to step S16, and the attendance time and condition recording screen generated in step S15 is transmitted from the management server 3 to the individual input terminal 6. As a result, on the display screen of the individual input terminal 6, for example, an attendance time and condition recording screen as shown in FIG. 7 is displayed.

  In this attendance time and condition record screen, in addition to displaying the current date and time, a panel group 91 including “work start”, “work end”, “private go out”, “private go out”, etc. Is displayed. In addition, the attendance time and condition recording screen is provided with six panels 101 to 106, which are classified into clear, clear, cloudy, light rain, rain, and thunderstorm in order from 101. The worker selects and inputs one of the panels 101 to 106 according to the mood at the time of going to work. For example, when the mood is very good, the clear panel 101 is selected. When the mood is not good, the low rain panel 104 is selected. When the mental condition is worst, the thunderstorm panel 106 is selected. By entering the current mental health state of the self.

  As described above, by setting the mental health condition in a plurality of stages and enabling input, the worker can select his / her mental health condition naturally and easily. In addition, by displaying panels 101 to 106 made of pictorial images such as the weather, the worker can easily and easily imagine mental health conditions, and the current mental health conditions are not so much a barrier. It becomes possible to input naturally. In addition, the choice of mental health condition is divided into six, by making it an even number, it is possible to avoid being biased toward a central answer that can be regarded as “neither”, and there are no more than four This is because workers have few choices when selecting a complex mental health condition, and if there are more than eight, there is a risk that confusion will arise when expressing the mental health condition at that moment.

  The worker can touch such panels 101 to 106 by touching the screen if the individual input terminal 6 is a touch panel system, or when the individual input terminal 6 is connected via a user interface such as a mouse or a keyboard. Enter your own mental health condition. As a result, the input mental health condition is recorded in the individual input terminal 6. At this time, the time input by the worker is also recorded in the individual input terminal 6 as the attendance time. That is, in step S17, the mental health condition and the attendance time are input by the worker and are recorded in the condition recording unit 61 in the individual input terminal 6. However, the present invention is not limited to this, and the mental health condition and the attendance time may be received on different panels.

When this condition information is recorded, in addition to recording the stages of the panels 101 to 106 input by the worker, mental health information quantified according to this stage may be recorded. As an example of quantifying the mental health condition set in multiple stages according to the stage, as shown in FIG. 8, it may be set so that the points decrease from 6 to 1 from clear to thunderstorms. Good. Thereby, the mental health condition input by the worker can be recorded as digitized information, and can be used in the processing operation in the subsequent stage.

  FIG. 9 is another example of the attendance time and condition recording screen. In the present invention, as a mental health condition option selected by the worker, it is set to the type of clear, clear, sometimes cloudy, cloudy, rainy, and thunderstorm. Then, each weather mark shown in FIG. 9 may be set so as to be digitized with points decreasing from 6 to 1 from fine weather toward a thunderstorm as shown in FIG.

  Furthermore, as an index indicating a plurality of stages of mental health conditions, in addition to such weather marks, a picture image such as a facial expression may be substituted. In addition, the present invention is not limited to displaying panels 101 to 106 made of pictorial images on the attendance time and condition recording screen, and displays panels 101 to 106 that are configured only by numerical values and characters. You may do it. In this way, various indicators such as numerical values and letters can be used as indicators that represent mental health conditions in multiple stages, not only picture images, etc., but these indicators are based on mental health conditions by workers. It must be easy to project naturally.

  Next, the process proceeds to step S43, and when the attendance time and condition registration request is transmitted from the individual input terminal 6 to the management server 3 and further authenticated, the condition recording unit 61 in the individual input terminal 6 The recorded mental health condition and attendance time of each worker are transmitted to the management server 3.

  In step S18, the management server 3 that has received such an attendance time and condition registration request stores information on the attendance time of each worker in the attendance result DB 31 and information on the mental health condition of each worker in the condition result DB 32. sign up.

  Depending on the company, the worker may be allowed to input the working hours and mental health status via the shared input terminal 2 without performing the input by the individual input terminal 6. In such a case, a screen for selecting a worker's name is displayed in step S41. The worker designates his / her name through the shared input terminal 2.

  Next, the process proceeds to step S42. At this stage, the attendance time and condition recording screen similar to FIG. 7 or FIG. 9 is displayed. The worker touches the panels 101 to 106 on the screen if the shared input terminal 2 is a touch panel system, or the shared input terminal 2 is connected to the user through the user interface such as a mouse or a keyboard. Select and enter a mental health condition. As a result, information related to the input mental health condition is recorded in the shared input terminal 2. At this time, the time input by the worker is also recorded in the shared input terminal 2 in the same manner as an attendance time. That is, in step S 42, the mental health condition and the working time are input by the worker and are recorded in the condition recording unit 21 in the shared input terminal 2.

  Next, the process proceeds to step S43, and when the attendance time and condition registration request is transmitted from the shared input terminal 2 to the management server 3 and further authenticated, the condition recording unit 21 in the shared input terminal 2 The recorded mental health condition of each worker and attendance time are transmitted to the management server 3.

  In step S18, the management server 3 that has received such an attendance time and condition registration request stores information on the attendance time of each worker in the attendance result DB 31 and information on the mental health condition of each worker in the condition result DB 32. sign up.

  The above process is a process from entry to registration of the attendance time and mental health condition at the time of attendance of the worker.

  Next, with reference to FIG. 4, a description will be given of a process from the input to the registration of the worker's leaving time and mental health condition at the time of leaving work.

  As shown in FIG. 4, in step S <b> 19, a work time and condition recording request is made from the individual input terminal 6 to the management server 3. When the management server 3 receives the leave time and condition recording request from the individual input terminal 6, the process proceeds to step S20.

  When the management server 3 proceeds to step S20, the management server 3 generates a leaving time and condition recording screen.

  Next, the process proceeds to step S21, and the work time and condition recording screen generated in step S20 is transmitted from the management server 3 to the individual input terminal 6. As a result, on the display screen of the individual input terminal 6, a work time and condition recording screen almost similar to that shown in FIGS. 7 and 9 is displayed.

  In step S22, the worker touches the panels 101 to 106 by touching the screen if the individual input terminal 6 is a touch panel system, or the individual input terminal 6 via a user interface such as a mouse or a keyboard. Select and enter your current mental health condition. Incidentally, the input of this mental health condition is the same as in step S17 described above. As a result, the input mental health condition is recorded in the individual input terminal 6. At this time, the leave time input by the worker is also recorded in the individual input terminal 6 as the leave time.

  Next, the process proceeds to step S46, and when the individual input terminal 6 sends a work time and condition registration request to the management server 3, and when these are authenticated, the condition recording unit 61 in the individual input terminal 6 Two recorded mental health conditions and working hours of each worker are transmitted to the management server 3.

  In step S23, the management server 3 that has received such a work time and condition registration request stores information related to each worker's work time in the attendance result DB 31 and information related to each worker's mental health condition in the condition result DB 32. sign up.

  Depending on the company, the worker may be allowed to input his / her mental health state via the shared input terminal 2 without performing input using the individual input terminal 6. In such a case, when the employee leaves the office, a screen for selecting a worker's name is displayed in step S44. The worker designates his / her name through the shared input terminal 2.

  Next, the process proceeds to step S45. At this stage, the attendance time and condition recording screen similar to that shown in FIGS. 7 and 9 is displayed. The worker touches the panels 101 to 106 on the screen if the shared input terminal 2 is a touch panel system, and the shared input terminal 2 performs mental health conditions via a user interface such as a mouse or a keyboard. input. As a result, the input mental health condition is recorded in the shared input terminal 2. At this time, the time input by the worker is also recorded in the shared input terminal 2 as the leaving time. That is, in step S42, the mental health condition and the leaving time are input by the worker and are recorded in the condition recording unit 21 in the shared input terminal 2.

  Next, the process proceeds to step S46, and when the shared input terminal 2 transmits a work time and condition registration request to the management server 3 and further authenticates them, the condition recording unit 21 in the shared input terminal 2 Two recorded mental health conditions and working hours of each worker are transmitted to the management server 3.

  In step S23, the management server 3 that has received such a work time and condition registration request stores information related to each worker's work time in the attendance result DB 31 and information related to each worker's mental health condition in the condition result DB 32. sign up.

  Thus, when the working hours of the day are finished, the attendance and attendance hours of each worker are registered in the attendance and attendance result DB 31 in the management server 3, and each work duty is stored in the condition result DB 32 in the management server 3. Information on mental health conditions at the time of the person's attendance and departure will be registered. As the number of days elapses, information related to daily attendance and work hours and mental health conditions is accumulated in the management server 3.

  In addition, in the process from entering the worker's leaving time and mental health condition at the time of leaving work shown in FIG. 4 to registration, as described above, the authentication request (S11) from the individual input terminal 6 at the time of going to work, for the administrator Assuming that the authentication request (S12) from the terminal 5 and the authentication process (S13) in the management server 3 are performed, the authentication request is not made again. However, for example, even when the authentication process is not performed at the time of going to work or the case where the authentication process is performed at the time of going to work, before the leaving time and condition recording request (S19), the individual input terminal 6 or An authentication request from the administrator terminal 5 and an authentication process from the management server 3 may be performed.

  In addition, a mental health management system is available to deal with cases where a worker is unable to enter work / time and mental health conditions when going to / from work, for example, due to a business trip, or when he / she wants to correct the work / work hours or mental health conditions already entered. 1, the worker may be able to add and modify the work hours and mental health conditions.

  An example of the processing operation of the mental health management system 1 relating to the steps from the input to the attendance time to be added or modified and the input from mental health condition to registration will be described. This addition / correction processing operation can be performed by substantially the same operation as the steps from the input / output of the attendance time / mental time and mental health condition shown in FIG. 3 and FIG. 4 to registration. First, when the management server 3 receives a request for recording addition / modification time and condition and condition from the individual input terminal 6, the management server 3 generates a recording screen for addition / modification and transmits it to the individual input terminal 6. The individual input terminal 6 inputs the added / corrected time and mental health condition to the condition recording unit 61 when the worker inputs the attendance time and mental health condition to be added or corrected from the recording screen for addition and correction described above. The information is recorded and transmitted to the management server 3. The management server 3 registers information on the added and corrected time and condition in the attendance / removal result DB 31 or the condition result DB 32. Further, in the mental health management system 1, the shared input terminal 2 may be used to input the attendance time and mental health condition to be added or modified. Furthermore, the authentication request from the individual input terminal 6 and the authentication process of the management server 3 may be performed before the request for recording of the addition / modification time / condition and condition from the individual input terminal 6.

  Next, the process of displaying the attendance time and mental health condition results will be described. Note that the process related to the process of displaying the attendance / work hours and the results of mental health conditions described below is not necessarily limited to the case where the process is executed after step S23.

  Next, the result display process of attendance time and mental health condition will be described with reference to FIG. First, in step S24, it is assumed that an attendance / working time and condition result display request is transmitted from the individual input terminal 6 to the management server 3 under an instruction from the worker. Alternatively, in step S25, it is assumed that the attendance / working time and condition result display request is transmitted from the manager terminal 5 to the management server 3 under an instruction from the manager.

  In such a case, the management server 3 generates an attendance / leaving time and condition result display screen in step S26. When there is a request in step S24, the management server 3 transmits data related to the attendance time and the condition result display screen to the individual input terminal 6 in step S27. In addition, when there is a request in step S25, the management server 3 transmits data related to the attendance time and the condition result display screen to the manager terminal 5 in step S28.

  In step S27, when the data regarding the attendance time and the condition result display screen is transmitted to the individual input terminal 6, the process proceeds to step S29. When the process moves to step S29, the attendance / exit time / condition result display section 62 as shown in FIG. 11 is displayed on the attendance / exit / condition result display section 62 of the individual input terminal 6, for example. On this display screen, information on the daily mental health condition of the individual worker who operates the individual input terminal 6, attendance time, working hours, break time, late arrival, early departure, business trip record, working hours, overtime hours, etc. Is displayed in the window 171 of the attendance / exit / condition result display section 62. The windows 172, 173, and 174 display a statistical score obtained by quantifying mental health conditions, an average value, a current position, and the like, and a window 175 displays trend information on mental health conditions in the past several months. Is displayed. In addition, the worker can freely display these information on the screen retroactively. Then, the worker can self-analyze information on work including his / her attendance time and information on mental health condition from various angles and points of view.

  Similarly, in step S28, when the data regarding the attendance time and the condition result display screen is transmitted to the manager terminal 5, the process proceeds to step S30. When the process proceeds to step S30, the attendance / exit time / condition result display screen as shown in FIG. The manager can self-analyze information regarding work, including working hours and information regarding mental health conditions, at various angles and points of view for each worker.

  FIG. 12 is another example of the attendance / exit time / condition result display screen displayed on the attendance / exit / condition result display unit 62 of the individual input terminal 6. As shown in FIG. Mental health conditions and graphs showing working hours may be displayed. FIG. 13 and FIG. 14 are still other examples of the attendance and attendance time and condition result display screen, and as shown in FIG. 13, the entered mental health condition is classified according to the input time as the attendance and attendance time and condition result display screen. You may display the graph to show, and the pie chart which shows working hours, commuting time, life required time, and leisure. Furthermore, as shown in FIG. 14, the mental health condition selected for each day of the calendar may be displayed as the attendance / leaving time and condition result display screen.

  In the attendance time / mental time and mental health condition result display process shown in FIG. 5, at the time of attendance, an authentication request from the individual input terminal 6 (S11), an authentication request from the manager terminal 5 (S12), and the management server 3 Since the authentication process (S13) is performed, the authentication request is not made again. However, for example, even if the authentication process is not performed at the time of attendance or the case where the authentication process is performed at the time of attendance, the attendance time and the condition result from the individual input terminal 6 or the manager terminal 5 Prior to the display request (S24, S25), an authentication request from the individual input terminal 6 or the administrator terminal 5 and an authentication process from the management server 3 may be performed.

  Next, with reference to FIG. 6 and FIG. 15, an analysis process for attendance and attendance hours and mental health conditions registered in the management server 3 and a notification process for support information will be described.

  As shown in FIG. 6, the management server 3 performs attendance / leaving time and condition result analysis in step S31. The process of step S31 described below is not limited to the case of being executed after step S26, and may be executed before or after any other step.

  In step S31, the result analysis that is always performed is a determination using the moving average value at the stage of mental health condition. In the present embodiment, the determination using the moving average value of the numerical value of the mental health information obtained by quantifying the stage of the mental health condition will be described below.

  Here, as shown in FIG. 15, the condition result analysis unit 34 of the management server 3 reads the condition result registered in the condition result DB 32 (S311), and the registered condition result indicates the stage of the mental health condition If this is the case, the mental health information is digitized according to the stage (S312), and a moving average value of k times is calculated based on the numerical value of the mental health information, and the calculated moving average value is converted into the condition result DB 32. (S313). In addition, when the mental health condition is digitized according to the stage in the input terminals 2 and 6 and the numeric value of the mental health information is transmitted to the management server 3, the mental health condition in the management server 3 described above is transmitted. The numerical step (S312) can be omitted. Subsequently, the condition result analysis unit 34 determines whether or not there is a predetermined number of times that the difference between the numerical value of the input mental health information and the calculated moving average value is equal to or greater than a threshold (S314). Thereby, the condition result analysis part 34 analyzes the worker's mental health condition, and determines the actual state of the mental health condition for each worker.

  Subsequently, when the condition result analysis unit 34 determines that there is a predetermined number of times that the difference between the numerical value of the input mental health information and the moving average value is equal to or greater than a threshold value (YES in S314), It is determined that there is an abnormality in the mental health condition of the worker (S315). On the other hand, it is determined that there is no predetermined number of times that the difference between the input mental health information value and the moving average value is equal to or greater than a threshold value. In this case (NO in S314), it is determined that there is no change in the mental health condition of the worker (S316).

  The determination of the actual state of mental health condition using the moving average value may be performed by processing by a computer program.

  FIG. 16 shows the tendency of changes in the numerical value of mental health information obtained by quantifying the stage of mental health condition at the time of attendance of a certain worker. In the mental health information on the vertical axis, six levels of mental health conditions from the best to the worst are displayed as numerical values (pt) of 6 to 1. The horizontal axis is the number of days. In addition to the mental health condition plot, FIG. 16 also shows plots of a 5-day moving average, a 10-day moving average, and a 20-day moving average, respectively.

  In this worker's example, it was changing at about 3 pt, but the condition suddenly broke down on the way and dropped to 1 pt. In such a state, it is shown that each moving average also falls along with this.

  In the present invention, as described above, instead of making a direct determination based on the numerical value of mental health information obtained by quantifying a specific mental health condition stage, the determination is based on this moving average value to the last, Based on whether or not there is a predetermined number of times that the difference between the input mental health information value and the moving average value is equal to or greater than a threshold value, the k is calculated for the health information value. Determine the actual state of mental health status of the worker. For example, in FIG. 16, the area enclosed by the solid square is the difference between the numerical value of the mental health information (black diamond) based on the input mental health condition and the 20-day moving average value (white square). The case where the day when becomes 1pt or more continues for 3 days or more is shown. In such a case, it may be determined that there has been some change in the mental health condition of the worker. That is, in this example, k is 20, and the condition “whether there is a predetermined number” is “whether it continues m times”, this m is 3, and the threshold value is 1 pt. The actual state of the mental health state is determined based on whether or not the number of times that the difference from the moving average value becomes 1 pt or more continues three times. k and m may be any numerical value as long as both are positive numbers. Also, the threshold value may be any value as long as it is within the difference between the maximum value and the minimum value of the mental health information and is a positive number, and may be a decimal number in addition to an integer. For example, comparing the case where the threshold is set to 0.7 pt and the case where the threshold is set to 1 pt, an abnormality can be detected when the threshold is 0.7 pt even if the change in mental health condition is small. .

  For example, k may be 10, m may be 4, and the threshold may be 1 pt. In such a case, as shown in FIG. 16, the number of times that the difference between the numerical value of the mental health information and the moving average value (white triangle) consisting of 10 times is equal to or greater than the threshold value (1 pt) continues four times. This is a case where the region surrounded by the dashed-dotted square shown in FIG. 16 satisfies the condition. When this condition is satisfied, it is possible to determine that there has been some change in the mental health condition of the worker.

  Further, in the above description, in FIG. 16, assuming that the difference between the numerical value of the input mental health information and the moving average value consisting of k times is equal to or greater than the threshold value, the moving average value consisting of k times is the input mental health. Although the case where the value is lower than the threshold value from the numerical value of the information is described, the present invention is not limited to the above example, and the case where the value is higher than the threshold value is also applied to determine the actual state of the mental health state. It may be.

  Furthermore, the above-mentioned condition “whether it continues m times” does not necessarily have to be absolutely continuous. “Will it continue m times except when the workplace is closed and when the worker is absent from work” Various conditions such as “does it continue m times every p times” can be applied.

  As described above, according to the present invention, the mental health aspect of the worker is checked based on the relationship between the threshold value and the difference between the input stage and the moving average value, not based on the actual value of the mental health condition. I do. Especially by using this moving average value, the worker will suddenly choose a better mental health condition in the mood of the day, and the next day will suddenly choose a bad mental health condition In particular, when a smaller value is input, it is possible to prevent this from being regarded as a change in mental health condition. The inventors have found through prior research that changes in mental health conditions are not based on mood depression of the day, but that values gradually decrease or increase, and that changes occur longer and continuously. Verifying. Then, in order to extract only such changes in mental health conditions as pinpoints, it is determined whether the difference between the numerical value based on the input stage and the k moving average value exceeds the threshold value. Further, it is verified that it can be realized by determining whether or not a predetermined number of times exceeding the threshold value exists, and the above-described configuration is adopted.

  Further, according to the present invention, the type of the worker is determined based on making a determination based on whether there is a predetermined number of times that the difference between the input stage and the moving average value is equal to or greater than a threshold value. Based on the classification, one or more of k, the threshold value, and m may be set to determine the actual state of mental health condition.

  Further, although these moving average values are shown according to the number of days, the moving average value is not limited to this, and the number of days may be substituted with the number of times. In other words, when the mental health condition check is performed several times a day, it may be preferable to perform the determination based on the moving average value for each number of times rather than the moving average value for each number of days.

  In addition, it has been confirmed that the classification of the type of mental health status at the time of the employee's attendance and departure is often different. Therefore, the rules for determining the actual state of the mental health status as described above for each of the classifications at the time of work and leaving work, separately classifying the mental health status selected by the worker at work and leaving work using the above criteria. By introducing, it is possible to increase the sensitivity of the determination with respect to changes in working hours.

  Next, the setting of the k, m, and threshold used for determining the actual state of the mental health condition will be described. FIG. 17 is an example in which the statistical distribution of mental health conditions is obtained several times for the workers P to R. It is assumed that the worker P is concentrated in an area where the numerical value of the mental health information based on the mental health condition is high. In addition, the workers Q are assumed to have a large distribution of mental health information based on mental health conditions, ranging from a high value to a low value. Further, it is assumed that the worker R is concentrated in an area where the numerical value of the mental health information based on the mental health condition is low.

  When a person who concentrates in an area with high mental health information, such as worker P, selects a mental health state with a low numerical value, it is necessary to determine that there has been a very large change in mental health, that is, an abnormality. On the other hand, even if a person with a large variance, such as employee Q, selects a mental health state with a low value, it is normal, and there was a particularly large change (abnormality) in mental health. It is necessary not to regard it as a thing.

  In other words, there are various mental health condition selection tendencies depending on the worker, and it is necessary to determine the actual state of mental health condition and the determination of anomaly with some weighting depending on the type. To do so, it is first necessary to classify workers by type of mental health condition. When classifying the type of worker, classification is performed based on the average value, variance, or standard deviation of the values of mental health information based on mental health conditions. Thereby, the reference | standard according to the type of a worker can be set and the actual condition of an appropriate mental health state can be determined.

  Table 1 is an example of a criterion for determining the worker's input type.

  According to this criterion, there are two types, a fixed type and a variable type. When classifying a fixed type and a variable type, the said user is classified based on the magnitude of the dispersion | distribution of the numerical value of the mental health information acquired over n times. First, in the fixed type, whether the point type expression is concentrated in three types of clear, clear, cloudy, light rain, rain, and thunderstorm over 90% in the result of counting the condition acquisition period for 40 consecutive days. Make a decision based on whether or not. As a result, when 90% or more of the point types are concentrated in three types, a fixed type is selected, and when 90% or more of the point types are not concentrated in three types, a variable type is selected. Here, n may be any positive number. This makes it possible to classify P, R, and Q in FIG. 17 described above into a fixed type and a variable type according to the magnitude of dispersion. Here, n is one of the criteria for determining the size of the variance, and is not limited to this, and the size of the variance may be determined based on any other method. Good.

  According to this criterion, there are two types, a fixed type and a variable type. Regarding this classification, analysis of the data already accumulated confirms that the difference in standard deviation is conspicuous between the fixed type and the variable type. Therefore, the standard deviation is used instead of a standard that uses the degree of variance of whether or not 90% or more of the point types based on the selected mental health state are concentrated in three types. You may use the standard that you used.

  Next, the fixed type is classified into three types: a high fixed type, a medium fixed type, and a low fixed type. Similarly, the fluctuation type is classified into a high fluctuation type, a middle fluctuation type, and a low fluctuation type. When classifying high, medium, and low types, the user is classified based on the average value of the mental health information obtained n times. Here, n may be any positive number. Note that n in the case of classifying the fixed type and the variable type and in the case of classifying the high, medium, and low types are not necessarily the same value.

  If the point average based on 40-day mental health condition is 4pt or higher, it is a high constant type or high fluctuation type. If the point average based on 40-day mental health condition is less than 4pt, 3pt or higher, medium constant type or medium. If the point average based on the variation type and the 40-day mental health condition is less than 4 pt, the type is the low constant type or the low variation type.

  Next, positive signs and negative signs are detected for each of these types. The positive sign here means that the mental health condition has changed in a good direction and positive signs have appeared, and the negative sign means that the mental health condition has changed in a bad direction. .

  Here, the determination that a positive sign or a negative sign has occurred means that the change in each of the above directions has been confirmed. From the actual mental health approach, however, the positive sign becomes positive as the employee becomes unwell. It has also been observed to behave when it behaves. For this reason, positive signs do not mean that confirmation by the administrator is not necessary, but the actual state of mental health status is judged so that appropriate intervention can be performed. It is important to send a message to the worker or manager.

  In this example, the threshold value is set to 1 pt for all types, and m indicating whether or not to continue for m days is set to 3. For certain types, the moving average value of days k is set to 20 days. The fixed type basically concentrates on three weather conditions. If the condition changes step by step by 1 pt over time, the difference from the 5-day average or 10-day average may not be caught as a short-term change. Yes.

  In the variation type, the number of days k of the moving average value is set to 5 days. The variation type varies up and down with a range of points to some extent. For this reason, since a short-term change cannot be caught if the up and down fluctuations before 5 days are used as a reference, the moving average value for 5 days is used as a reference.

  In these examples, it is common that depression or mental health is determined to be unsatisfactory when mental and physical disorders continue for two weeks or longer (the working day is approximately 10 days). Based on this concept, the standard setting is to notify employees of signs of changes as alerts before 10 days of physical and mental illness has been completed (before getting sick), enabling managers to take preventive measures for employees. It is based.

  In this example, workers are classified based on whether the mental health state is a fixed type or a variable type, and determination is performed by setting the value of k based on the classification. In other words, the workers are classified based on the variance of the numerical values of the mental health information acquired n times, and the determination is made such that k becomes smaller as the variance becomes larger. Like to do.

  However, the present invention is not limited to such an example, and in examining the types of mental health condition points n times in determining the size of variance, any value can be used as long as n is a positive number. May be.

  In addition, although it was classified into 6 types using the distribution and average value of mental health information based on mental health conditions, it is not limited to this, and the distribution, standard deviation, or average value of mental health information Any type may be used as long as it is used. Further, the determination parameter set based on the classification is not limited to the number of days k of the moving average value, but may be any one or more of a threshold value and m.

  In addition, it has been suggested that the accumulation of data so far may cause bias in the appearance ratio of a fixed type or a variable type for each age, and the selection of mental health status based on weather marks. It has been confirmed that such a bias does not pose a particular problem in determining the detection of a change in the abnormal state of the worker. However, if the sensitivity of the change detection determination can be increased by changing the setting of the determination parameters for each age, different parameters may be set for each age.

  Further, the present invention is not limited to the above-described embodiment. In addition to the above-described determination criteria, for example, the actual state of mental health conditions may be determined based on the criteria described below.

  As shown in Table 3, when a point based on 1 pt mental health condition is continuously generated as a negative sign for 3 days or more, it is regarded as a large change (abnormality) in mental health condition. Thus, when the numerical value of the mental health information is continuously at the lowest level for a predetermined number of times, it may be determined that there is a change (abnormality) in the mental health of the worker.

  Similarly, as a positive sign, when points based on 6 pt mental health condition occur continuously for 3 days or more, it is regarded as a significant change (abnormal change) of the mental health condition. As described above, when the numerical value of the mental health information is continuously at the highest level for a predetermined number of times, it may be determined that there is a change (abnormality) in the mental health of the worker.

  In this way, when the numerical value of mental health information is at the minimum or maximum level for a predetermined number of times, it is determined that the mental health status of the worker has changed, so that the worker's mental health status can be more appropriately determined. The actual situation can be determined, and the abnormal state of the mental health state can be extracted more reliably.

  Further, when there is a type level down as a negative sign, it may be determined that there is a change (abnormality) in mental health for the worker. Here, the type level down refers to a case where a transition is made from a high classification to a low classification when viewed from an average value, for example, high variation type → medium variation type, high constant type → medium variation type. This classifies employees based on the variance, standard deviation, or average of the numerical values of mental health information acquired over n times, and then the numerical values of mental health information acquired over n times for the same worker As a result of classifying based on variance, standard deviation, or average value as in the previous n times, the employee's classification changes to a lower classification than the previous n classifications from the average value Means.

  Similarly, when there is a type level up as a positive sign, it may be determined that there is a change (abnormality) in mental health for the worker. Here, the type level-up refers to a case where, for example, a transition from a low classification to a high classification is made when viewed as an average value, such as a medium variation type → high variation type and a low constant type → medium variation type. This classifies employees based on the variance, standard deviation, or average of the numerical values of mental health information acquired over n times, and then the numerical values of mental health information acquired over n times for the same worker As a result of classifying based on variance, standard deviation, or average value as in the previous n times, the employee's classification has changed to a higher classification from the average value than in the previous n times Means.

  In this way, if there is a type level down or type level up, by determining that the worker's mental health status has changed, the actual state of the mental health status is determined more appropriately, and the mental health status Can be extracted reliably. Note that the standard value used to determine whether or not there has been a type level down or type level up is based on the variance of the numerical values of mental health information, standard deviation, or the average value. It is not necessarily the same as the standard value n times used for classification.

  In addition to the above-described numerical values of mental health information, the determination may be made based on work information based on the time of attendance and work. For example, as shown in Table 4, the determination may be made according to the frequency of long overtime (working for 10 hours or more), the frequency of late arrival or early departure, and the frequency of absenteeism. In such a case, it may be determined that a negative sign has occurred when it corresponds to “large” in Table 4.

  Moreover, you may make it judge together with these work information about the worker of a low fixed type or a low fluctuation type. For example, as shown in Table 5, when the above-mentioned low constant type or low fluctuation type occurs, and “Medium” in Table 4 occurs at a frequency as shown in Table 5 in 10 days, there is a negative sign. It may be considered that

  The above determination process is performed in the step of attendance / working time and condition result analysis in step S31.

  Returning to the description of FIGS. If it is determined in step S31 described above that there is an abnormality in the worker's mental health condition (S315), or if a negative sign or a positive sign is detected according to the above criteria, the process proceeds to step S32. . In step S32, the management server 3 creates support information. This support information is information for notifying workers, managers, and experts that a negative sign or a positive sign has been detected.

  Next, the process proceeds to step S33, and the support information notifying unit 35 of the management server 3 manages the support information created in the management server 3 periodically or when there is a request from the individual input terminal 6, or management. This is transmitted to the individual input terminal 6 under the judgment of the server 3. Similarly, in step S <b> 34, the support information notification unit 35 periodically receives the support information created in the management server 3, when there is a request from the administrator terminal 5, or at the judgment of the management server 3. This is transmitted to the manager terminal 5.

  In the present invention, support information may be transmitted to the EAP terminal 7. First, in step S51, an authentication request is sent from the EAP terminal 7 to the manager terminal 5. When the support information is notified to the manager terminal 5 in step S34, the support information is notified from the manager terminal 5 to the EAP terminal 7 in step S52.

  In addition, for example, when a worker inputs a mental health condition, such as shown in FIG. 7 or FIG. Processing is performed so that only the EAP terminal 7 is displayed without being displayed on the manager terminal 5. As a result, the support information that can be visually recognized by the manager terminal 5 can be confirmed on the EAP terminal 7, and information that the worker does not want to be known by the manager is displayed on the manager terminal 5 without being displayed on the EAP terminal 7. It is possible to display only on the terminal 7. And the third party (expert) who operates the EAP terminal 7 can detect that the worker has a mental trouble that the manager does not want to know, and promptly take measures accordingly. Can be done.

  When the process proceeds to step S33, the process proceeds to step S35, and the support information is displayed on the support information display unit 63 in the individual input terminal 6. Similarly, when the process proceeds to step S34, the process proceeds to step S36, and the support information is displayed on the support information display unit 52 in the manager terminal 5. When the process further proceeds to step S52, the process proceeds to step S37, and the support information is displayed on the support information display unit 72 in the EAP terminal 7.

  FIG. 18 illustrates an example in which support information is displayed on the support information display units 52 and 72 in the manager terminal 5 or the EAP terminal 7. By visually recognizing such support information, managers and specialists can determine how many of the workers require follow-up in mental health. The breakdown can be classified according to whether it is a department in the workplace, a function, or a managerial position. Further, a window for displaying a comment of the condition analysis result may be provided.

  Further, as shown in FIG. 19, the support information display units 52 and 72 may display a list of conditions for each worker. As a result, managers and specialists can easily determine workers who need to follow in mental health.

  In the present invention, processing such as determination of the actual state of mental health conditions in the management server 3 may be embodied as a computer program. In such a case, the computer program is installed in the management server 3, and for the mental health state stage input by the input terminals 2 and 6, a moving average value consisting of k times is calculated. The computer of the management server 3 is caused to determine the actual state of the mental health state for each worker based on whether or not there is a predetermined number of times that the difference from the moving average value is equal to or greater than the threshold value. For the mental health state stage, it is preferable to use a numerical value of the mental health information that is digitized, and further, a criterion of “whether or not it continues for m times” is used as a criterion of “whether or not a predetermined number exists”. Good. For example, this program may be installed not in the management server 3 but in the shared input terminal 2, and a worker or a manager may perform input / output and check via the single shared input terminal 2. The moving average value can be easily obtained by obtaining the moving average value using the numerical value of the mental health information digitized according to the inputted mental health state stage.

  In addition, the mental health management method according to the present invention may be realized in the mental health management system 1 described above, but is not limited to this embodiment. That is, the input step of selecting and inputting the stage indicating the state that suits the worker at that time among the mental health states set in a plurality of stages, and the stage of the mental health state input in the input step, calculating a moving average value of k times, and determining whether there is a predetermined number of times that the difference between the input stage and the moving average value is greater than or equal to a threshold value. And a determination step for determining the actual state of the image.

  In addition, when it is determined that there is a change in the mental health status of the worker when there is a predetermined number of times that the difference between the input stage and the moving average value is greater than or equal to a threshold value in the determination step, the mental health It is good to have a notification step of notifying the worker, manager, expert, etc. of a change in state. In this notification step, the support information notification unit 35 of the management server 3 notifies the individual input terminal 6, the manager terminal 5, and the EAP terminal 7 by sending information on the actual state of the mental health state. The notification is sent from the server 3 to the manager terminal 5 and can be performed by various notification methods such as notification from the manager who has confirmed the fact to the worker verbally, by e-mail, or even by telephone.

  By this notification step, the worker's own mental health condition is confirmed by notifying the worker himself / herself of any change in the worker's mental health condition. In addition, this notification step notifies the manager of any change in the worker's mental health status, so that the manager interviews the worker, calls them, etc., and changes the worker's mental health status. It can be confirmed that the incident does not lead to mental illness, and the implementation of line care can be promoted.

  Further, in the mental management method, when the notification of the change in the mental health status of the worker is notified to the expert through the notification step, the expert notifies the worker and the manager of the worker's mental health. It is preferable to have a confirmation step for confirming the health state. For example, in the mental management system 1 according to the present invention, this confirmation step includes a confirmation information communication unit (not shown) provided in the EAP terminal 7, and the confirmation information is transmitted to the administrator terminal 5 or the individual input terminal 6 by the confirmation information notification unit. You may send it. Alternatively, other confirmation methods such as calling from a specialist to the worker or manager, confirmation by e-mail, or telephone may be used.

  In this confirmation step, when the administrator is confused about how to actually support the worker about the mental health status of the worker, the expert manages it according to the confirmation method designated by the administrator. Can promote the implementation of more appropriate line care. In addition, this confirmation step allows the specialist to confirm the mental health status and provide necessary information to the worker by the confirmation method designated by the worker, and the worker's own mental health status can be confirmed. It can be promoted and help to advance self-understanding.

  Here, the support provided by the experts can make necessary adjustments according to the wishes and designations of the workers or managers, which makes it possible for the workers and managers to receive the invasiveness. The element can be removed.

  In the present embodiment, a user whose actual state of mental health condition is determined by a mental health management system, a mental health management program, and a mental health management method according to the present invention will be described as a worker. It is not limited to this.

DESCRIPTION OF SYMBOLS 1 Mental health management system 2 Shared input terminal 3 Management server 4 Internal network 5 Administrator terminal 6 Individual input terminal 7 EAP terminal 21 Condition recording part 22 Attendance result DB
23 Attendance result display part 24 Condition result display part 31 Attendance result DB
32 Condition result DB
33 Attendance / Attendance Results Analysis Unit 34 Condition Results Analysis Unit 35 Support Information Notification Unit 51 Condition Results Display Unit 52 Support Information Display Unit 61 Condition Registration Unit 62 Attendance / Condition Result Display Unit 63 Support Information Display Unit 71 Attendance / Condition Result Display Unit 72 Support Information display part 91 Panel group 101 Panel

Claims (15)

An input terminal formed by an electronic device having a condition recording unit for selecting and inputting a stage indicating a state suitable for the user at that time from among mental health states set in a plurality of stages,
Calculate the moving average value of k times for the mental health state stage input at the input terminal registered in the condition result DB, and the number of times the difference between the input stage and the moving average value is greater than or equal to the threshold value A management server formed by an electronic device having a condition result analysis unit that determines the actual state of mental health status for each user based on whether or not a predetermined number exists. system.
Where k is a positive number If the condition result analysis unit in the management server determines that there is a predetermined number of times that the difference between the stage of the mental health state and the moving average value is equal to or greater than a threshold value, the mental health state of the user is abnormal. is formed to determine, based on the determination of the condition results analysis portion of the management server, the anomalies of the mental health condition, the user, administrator, or notification assistance information to be notified to any one or more experts The mental health management system according to claim 1, further comprising a notification unit having a unit. The condition recording unit of the input terminal is formed to quantify the mental health state into mental health information,
The condition result analysis unit in the management server calculates a moving average value including the k times for the numerical value of the mental health information, and a difference between the numerical value of the input mental health information and the moving average value is equal to or greater than a threshold value. based on whether the number of times that the exists a predetermined number, mental health management according to claim 1 or 2, characterized in that it is formed for determining the actual state of mental health status for each of the user system. The condition result analysis unit in the management server determines the mental health state for each user based on whether or not the number of times that the difference between the numerical value of the mental health information and the moving average value is equal to or greater than a threshold continues m times. The mental health management system according to claim 3, wherein the mental health management system is configured to determine the actual condition.
Where m is a positive number The condition result analysis unit in the management server classifies the users based on one or more of variances, standard deviations, or average values of the numerical values of the mental health information acquired over n times, and based on the classification, the k, mental health management system according to claim 3 or 4, characterized in that the threshold value, by setting any one or more of the above m is formed to perform the determination.
Where n is a positive number The condition result analysis unit in the management server classifies the users based on the variance of the numerical values of the mental health information acquired n times, and the more the variance is classified, the more the k becomes mental health management system according to any one of claims 3-5 which set smaller, characterized in that it is formed to perform the determination.
Where n is a positive number The condition result analysis unit in the management server classifies the users based on at least one or more of variance, standard deviation, or average value of the numerical values of the mental health information acquired n times, and then the same As a result of classifying the above-mentioned users based on the same variance, standard deviation or average value as the previous n times, the numerical value of the mental health information acquired further n times is classified as above. if the n times of the classification were changed in terms of mean value of claims 3 to 6, characterized in that it is formed so determines that there is abnormal change of mental health conditions regarding the user Mental management system given in any 1 paragraph.
Where n is a positive number The condition result analysis unit in the management server may change the mental health status of the user when the mental health status stage or the mental health information corresponding to the stage is at the lowest level or the highest level for a predetermined time. The mental health management system according to any one of claims 1 to 7 , wherein the mental health management system is formed so as to be determined as having occurred. The mental health management system according to any one of claims 1 to 8, wherein the mental health state set in the plurality of stages is set in six stages. The mental health management system according to any one of claims 1 to 9, wherein a weather mark set in accordance with each stage is used as the mental health state set in the plurality of stages. Input by selecting a stage indicating a state suitable for the user at that time from among mental health states set in a plurality of stages using the condition recording unit of the input means, and by the condition result analysis unit of the management server Whether a moving average value of k times is calculated for the mental health state stage input using the input means, and there is a predetermined number of times that the difference between the input stage and the moving average value is greater than or equal to a threshold value A mental health management program, which causes a computer to execute a determination of the actual state of mental health status for each user based on whether or not the user is not.
Where k is a positive number The mental health state input by the condition recording unit of the input means is digitized into mental health information, and the condition result analysis unit of the management server determines the difference between the numerical value of the mental health information and the moving average value. The mental health management according to claim 11, wherein the computer is caused to determine the actual state of the mental health state for each of the users based on whether or not a predetermined number of times is equal to or greater than a threshold value. program. An input step in which the user selects and inputs a stage indicating a state suitable for the user from among mental health states set in a plurality of stages using the condition recording unit of the input means ;
The moving average value consisting of k times is calculated for the mental health state stage input in the input step by the condition result analysis unit of the management server, and the difference between the input stage and the moving average value is greater than or equal to a threshold value. A mental health management method comprising: a determination step of determining an actual state of mental health status for each user based on whether or not a predetermined number of times exists.
Where k is a positive number In the determination step by the condition result analysis unit of the management server, if it is determined that there is a predetermined number of times that the difference between the stage of the mental health state and the moving average value is equal to or greater than a threshold value, the mental health state of the user is It is determined that there is an abnormality, and based on the determination using the support information notification unit of the management server , at least one or more of the user, administrator, or expert is notified of the change in the mental health status of the user. The mental health management method according to claim 13, further comprising a notification step. From the expert who is notified of the change in the mental health status of the user by the support information notification unit of the management server in the notification step, to one or more of the user or the administrator using an EPA terminal The mental health management method according to claim 14, further comprising a confirmation step of confirming the mental health state of the user .