JP7461676B1 - Insomnia treatment and improvement system - Google Patents

Abstract

[Problem] To provide an app for treating insomnia. [Solution] A system for treating, improving and self-care of insomnia, including a memory storing an index for diagnosing insomnia, a sleep diary recording the user's sleep state, and a treatment module for performing a disease-specific psychotherapy for insomnia, a user terminal for inputting the user's answers to the index for diagnosing insomnia, inputting daily records in the sleep diary recording the user's sleep state, and providing the user with the multiple treatment modules, and a control unit for assessing the type of insomnia of the user and making a sleep plan for the user through statistical analysis or AI processing of the user's answers and the daily records, and providing the treatment module according to the type and the sleep plan to the user terminal. [Selected Figure] Figure 1

Description

The present invention relates to an insomnia treatment support system and an insomnia treatment support program for supporting the treatment of insomnia.

Insomnia is a disorder characterized by long-term sleep-related problems, such as difficulty falling asleep, waking up in the middle of the night, waking up early in the morning, and difficulty falling asleep deeply, which leads to daytime discomforts such as fatigue, loss of motivation, decreased concentration, and loss of appetite. Insomnia can be caused by a variety of factors, including stress, physical illness, and side effects of medication, and it is said that treatment must be tailored to the cause. Sleep disorders similar to insomnia include sleep apnea syndrome, restless legs syndrome, periodic limb movement disorder, and circadian rhythm sleep-wake disorder, but the subject of this invention is primarily the former.

Patent document 1 describes an insomnia treatment support device that includes a sleep efficiency calculation unit that calculates the sleep efficiency of the user based on information about the user's bedtime, sleep onset time, awakening time, and wake-up time; a time setting unit that sets the user's bedtime and a time to conduct a sleepiness test a first predetermined time before the bedtime based on the sleep efficiency calculated by the sleep efficiency calculation unit; and a reminder message presentation unit that presents the user with a message urging them to conduct the sleepiness test when the implementation time set by the time setting unit or a second predetermined time before or after that time arrives.

Republished No. 2018/069968

In Patent Document 1, the intention is to improve insomnia by forcibly delaying bedtime, thereby giving the user a sense of security that they do not have to force themselves into bed early. However, because anxiety is not the only cause of insomnia, there is a problem in that this does not necessarily lead to improvement of insomnia.
An object of the present invention is to provide patients suffering from a wide range of insomnia symptoms with easy and safe relief or improvement of symptoms, or training to improve sleep habits.

(Claim 1)
A memory storing an index for diagnosing insomnia, a sleep diary that records the user's sleep state, and a treatment module that performs a disease-specific psychotherapy for insomnia;
a user terminal for inputting a user's answers to the index for diagnosing insomnia, inputting daily records in a sleep diary that records the user's sleep state, and providing the user with the plurality of treatment modules;
A system for treating, improving, and self-care for insomnia, comprising: a control unit that assesses the type of insomnia of the user through statistical analysis or AI processing of the user's answers and the daily records, creates a sleep plan for the user, and provides a treatment module according to the type and the sleep plan to the user terminal.
(Claim 2)
a transdiagnostic index and a treatment module for implementing a transdiagnostic psychotherapy;
The user terminal is used to input a user's answer to the cross-diagnostic index;
2. The system for treating, improving and self-care for insomnia according to claim 1, wherein the assessment uses the user's responses to the cross-diagnostic indicators.
(Claim 3)
A memory storing an index for diagnosing insomnia, a sleep diary that records the user's sleep state, and a treatment module that performs a disease-specific psychotherapy for insomnia;
a user terminal for inputting a user's answers to the index for diagnosing insomnia, inputting daily records in a sleep diary that records the user's sleep state, and providing the user with the plurality of treatment modules;
A system for treating, improving, and self-care for insomnia, comprising: a control unit that assesses the type of insomnia of the user through statistical analysis or AI processing of the user's answers and the daily records, creates a sleep plan for the user, and provides the assessment results and the sleep plan to the user terminal.
(Claim 4)
A treatment module for performing a disease-specific psychotherapy for insomnia;
a user terminal for providing the plurality of treatment modules to a user;
A medical institution terminal or the user terminal for inputting a type of insomnia of a user;
A system for treating, improving, and self-care for insomnia, comprising: a control unit that provides the user terminal with a treatment module according to the type.
(Claim 5)
A system for treating, improving, and self-care for psychosomatic or psychosomatic disorders, comprising:
The system includes a memory that stores a plurality of disease-specific and/or transdiagnostic treatment modules, and a controller that provides the plurality of disease-specific and/or transdiagnostic treatment modules,
The system is characterized in that the control unit provides a plurality of treatment modules to the patient as an ordered program taking into consideration treatment efficiency.

The treatment, prevention, and self-care app of the present invention (hereinafter referred to as the treatment app) can provide improvement suggestions based on the cause of insomnia and the state of the symptoms, thereby enabling a wide range of insomnia sufferers to alleviate their symptoms and take care of themselves.

FIG. 1 is a conceptual diagram showing a system of the present invention. FIG. 1 shows an example of a sleep diary of the present invention. FIG. 13 is a diagram showing an example of a method for inputting assessment items according to the present invention. FIG. 2 is a diagram showing a control flow of a treatment application according to an embodiment of the present invention. FIG. 13 is a diagram showing an example of a screen for proposing to a user the time in bed according to the present invention. FIG. 2 is a diagram showing a program for providing a treatment module of the present invention.

(System configuration including therapeutic apps)
As an embodiment of the present invention, a program installed in a network system installed on the Internet is given. The network system is a server equipped with a large-capacity storage device on a server or a cloud, and a user terminal such as a notebook computer, a smartphone, or a tablet is connected via the Internet. This server device executes the program according to this embodiment, and provides various information such as a therapeutic application that enables treatment, alleviation, and self-care of insomnia and disease education related to insomnia to the user via the user terminal using information input from the user terminal and information stored in the server's storage device through data communication with the user terminal. In addition, this system is shown as an example in which the server and the user terminal work together to improve the symptoms of the user or insomnia patient, but the scope of the present invention also includes a system in which all elements are held only on the server side and the user terminal is used only for inputting and outputting information and displaying information, or a system in which necessary data and programs can be downloaded to the user terminal and all processing can be executed on the user terminal, or a web page that the user can access.

1 shows an outline of the configuration of a network system 100 including a user terminal 101 and a server 106. The user terminal 101 includes a communication unit 102 for communicating with a user server 106 via the Internet 110, a storage device 104 for recording personal information, data, and programs, a display device 105, an input device 111 for accepting input from a user, and a control device 103 for controlling these. The server 106 includes a communication unit 108 for communicating with the user terminal 101 via the Internet 110, a large-capacity storage device 109, and a control device 107. The control device 107 is equipped with a communication control program for communicating with the user terminal 101 via the communication unit 108, a program for managing a database constructed in the storage device 109, a dedicated program for managing a symptom record (diary) that records the user's current or past symptoms and conditions (hereinafter also referred to as a symptom diary program), a server-side program for a treatment app, and data such as work and disease education videos that are treatment modules for the treatment app. The treatment program on the server side performs diagnosis, treatment, mitigation, improvement, maintenance, or self-care in cooperation with the treatment app on the user side, and the control device 107 provides information necessary for treatment to the user terminal in cooperation with the communication control program and database management program. As a result, diagnosis, treatment, mitigation, improvement, maintenance, or self-care by the server 106 is provided to the user. In this example, the treatment app is divided into a server side part and a user terminal side part, and an example of performing diagnosis, treatment, mitigation, improvement, maintenance, or self-care is shown, but it may be configured so that all necessary programs, data, etc. are downloaded to the user terminal 101 and can be executed independently by the user terminal 101. Alternatively, the user terminal 101 may function only as an input means and a display means, and the server 106 executes the program based on input from the user terminal 101, for example, via a dedicated web page.

(Sleep diary (symptom diary))
FIG. 2(a) shows an example of data of a sleep diary stored in the storage device 109 (or storage device 104 in some cases). This sleep diary includes items such as the patient's bedtime, sleep onset time, awakening time, wake-up time, sleep quality (e.g., 5 stages), number of awakenings (or duration of awakening), duration of yesterday's nap, sleep efficiency, actual sleep time, time in bed, next day's work, and intake of sleeping pills and alcohol. The system including the insomnia treatment app requires the patient to input the values of these items periodically, typically promptly after waking, via the input screen of the user terminal 101 such as a smartphone. The next day's work may be input after returning home before setting the bedtime. Here, the next day's work is an input value indicating the risk of the next day's work or task, and corresponds to, for example, a task or task that may be physically dangerous due to falling asleep. When this is checked or when the value is 4 or more on a 5-point scale, it is preferable from a safety standpoint to set the bedtime to avoid settings that shorten the actual sleep time (for example, avoid shortening the bedtime when daytime sleepiness is 4 on a 5-point scale). In addition, other parameters such as the number of sleeps may be input and stored. It is also known that there is a correlation between the cycle of human body temperature and circadian rhythm, and it is also known that there is a correlation between the cycle of human body temperature and sleep cycle, so the body temperature may be measured periodically, and a graph of the change in the user's body temperature over the day and the relationship with the bedtime may be displayed graphically, or this change in body temperature may be used to set the bedtime or sleep onset time, or the wakeup time or wakeup time (for example, set the bedtime when the body temperature is decreasing, or set the wakeup time when the body temperature is increasing). In this way, the relationship between the user's vital signs and the bedtime or sleep onset time, or the wakeup time or wakeup time may be displayed, or this data may be used to set these times. 2(a) shows the stored data as data for one week from July 1 to July 7, but it goes without saying that records for the duration of treatment or for a required period can be stored. In addition, in the above example, input to the sleep diary is made by the user into the user terminal 101, but it may be automatically input from a user terminal such as a wearable device.

Sleep efficiency is the ratio of the time spent actually asleep to the total time spent in bed or other sleeping place. That is, sleep efficiency is calculated by the following formula:
Sleep efficiency = (time from falling asleep to waking up) / (time from falling asleep to waking up) x 100[%]
Bed time is calculated using the following formula:
Time in bed = Time from time of going to bed to time of waking up. Sleep time is calculated using the following formula.
Sleep time=time from falling asleep to waking up The actual sleep time is calculated using the following formula.
Actual sleep time = time from falling asleep to waking up - time awake. Furthermore, these times and sleep quality may be obtained by input from the user, for example, through actigraphy, polysomnography, or data from wearable devices such as smart beds and smart watches.
Furthermore, this data can be used to check the patient's condition and for the user's self-care by making it possible to call up patient data for a specific day, call up average data, and display data trends over a specific period (as a line graph, etc.) from the user terminal 101 or an administrator's or medical professional's terminal (not shown).

(Psychological Assessment)
As disease-specific questionnaires for insomnia, the Insomnia Symptom Questionnaire (ISQ), Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Dysfunctionl Beliefs and Attitudes About Sleep Questionnaire (DBAS), Epworth Sleepiness Scale (ESS), Athens Insomnia Scale (AIS), or a combination of these can be used. If necessary, as cross-diagnostic indicators to investigate psychosocial and biological characteristics such as personality characteristics of patients separately from insomnia, the Beck Depression Questionnaire, Beck Anxiety Questionnaire, Generalized Anxiety Disorder Scale (GAD-7), Mental and Physical Health Scales (PHQ-9, PHQ-15), Self-rating scale for epidemiological studies of depression, Happiness Scale (CES-D), PFQ, etc. can be used. These questions are stored in the storage device 109 and provided in response to a request from a treatment application executed on the user terminal 101. The questions provided are not only the questions on these questionnaires, but also excerpts of them and newly added items, and a predetermined set of questions for diagnosing insomnia is provided, but these may be changed depending on the type of user and the stage of treatment.
3(a), 3(b), and 3(c) show examples of inputting questions from the AIS, GAD-7, and PHQ-9 into the user terminal 101. In addition, questions about physical symptoms, mental symptoms, and social symptoms can be provided, or they can be recorded simultaneously with EMA (Ecological Momentary Assessment, experience sampling method). In this example, the input items are displayed on the display device 105 of the user terminal 101, and a value from 0 to 3 is selected based on whether each item is applicable or not by using the input device 111, which is a touch panel provided on the surface of the display device 105. However, the display and input method are not limited to this, and may be input using a slider bar, and free text or check boxes may be used. Furthermore, the input method may be voice input or input using vital signs.
By statistically processing the answers to these questions or by using AI, the patient's type of insomnia can be classified.

In addition to the above questionnaires and psychological tests, indicators for disease-specific assessment and indicators for cross-diagnostic assessment may be added. For example, the cross-diagnostic indicators used in acceptance and commitment therapy (ACT) are used to assess the extent to which a patient is behaving adaptively or maladaptively in response to psychosocial problems, life adaptation, stress, etc., and are assessed using quantitative measurement indicators. For example, adaptive behaviors include "acceptance" which does not avoid unpleasant thoughts and emotions but leaves them as they are, "defusion" which distinguishes between thoughts and reality and does not get consumed by unpleasant thoughts and emotions, "contact with the present moment" which maintains awareness of the reality in front of one's eyes, "self as a perspective" which realizes what one is aware of from a bird's-eye view, "clarification of values" which clarifies the "way of life" one wants to live, and "commitment" which pursues the "way of life" one wants to live. The psychological flexibility of the accessing user (patient: subject) is assessed by assessing the adaptive behavior described above in response to psychosocial problems, life adaptation, stress, etc. Then, if the subject exhibits the adaptive behavior described above in response to psychosocial problems, life adaptation, stress, etc., it can be determined that the subject is healthy, has a high quality of life, low stress, and has high resistance to various diseases. In addition, since the effectiveness of disease-specific interventions can be improved by increasing this psychological flexibility, it is preferable to perform a quantitative evaluation using known indices used to evaluate these in cognitive behavioral therapy, and, for example, to add a treatment module that intervenes in the defusion problem and perform treatment. Here, the indices of cognitive behavioral therapy are mentioned as a good example, but other cross-diagnostic indices can also be used.

(Educational Content)
The program includes disease education content on the physiological and psychological mechanisms of sleep, healthy daily activities and rhythms, and insomnia symptoms, including predisposing factors such as the patient's biological characteristics and personality characteristics, precipitating factors such as stress and situations that disrupt sleep and wake patterns, and sustaining factors such as anxiety about lack of sleep, naps, and excessive time spent in bed, as well as the mechanism of insomnia that causes insomnia, and the need to modify beliefs, anxieties, and habits that sustain insomnia. Psychoeducational content on the principles and expected effects of improving cognitive distortions and modifying behavior through psychotherapy such as cognitive behavioral therapy, as well as type-specific educational content on factors that cause the patient's sleep disorder, typical treatment plans, and examples of the treatment process, when performing an assessment. These educational contents can improve patient adherence.

(Psychotherapy-based treatment modules (work))
Disease-specific work includes "distorted cognition regarding sleep 1" (although sleep time gradually changes with age, clinging to the sleep rhythm of youth and insisting that one must sleep like one's youth distorts one's cognition regarding sleep, ultimately resulting in poorer sleep. Counseling to help patients understand that the quality and quantity of sleep changes with age), "distorted cognition regarding sleep 2" (fearing the effects of lack of sleep, one may take naps or go to bed early, worsening insomnia symptoms or prolonging them), "reconstructing cognition regarding sleep" (counseling to change erroneous cognitions and beliefs about insomnia, such as believing one is not getting enough sleep despite actually getting enough sleep physiologically, thereby increasing the pain of insomnia, into more reasonable ones), and "relaxation" (when sleepiness is not felt during sleep due to hypertension or hyperarousal, In such cases, counseling is provided to relieve tension and arousal and induce a moderate amount of sleepiness by implementing relaxation techniques such as breathing exercises, muscle relaxation, and autogenic training), "problem solving" (insomnia is significantly affected by the stress and troubles of daily life, so counseling on the mechanism by which thinking about such things in bed causes insomnia and wakes you up), "worry framing" (you bring unfinished work into the bedroom, creating arousal and distress, leading to insomnia, and writing down and organizing the problems and solutions that cause you to remember them at bedtime and wake you up), and "thought chart" (you create a thought chart to reduce the tendency toward depressive symptoms such as fears that you cannot cope with insomnia, thoughts that you will get sick as a result of insomnia, and thoughts that you will go crazy if insomnia continues).
On the other hand, examples of cross-diagnostic work include the "polar bear experiment" (counseling regarding cognitive mechanisms based on the phenomenon that when you are told not to think about polar bears, you end up thinking about polar bears), "acceptance" (counseling regarding not escaping into thoughts), "defusion" (counseling to separate yourself from negative thoughts and emotions, which leads to identifying facts with negative thoughts and emotions and becoming anxious about things that have not happened, and to avoid being caught up in negative emotions), "This Moment" (counseling to help you realize that the past and future are only thoughts), "Values and goals" (counseling to clarify personal values, find meaning in living life based on those values rather than being dragged down by thoughts, and increase psychological flexibility to act from your thoughts), "mindfulness breathing" and "autogenic training" (training to help you achieve a moderate state of relaxation on your own). By combining not only these disease-specific works but also transdiagnostic works in a systematic program according to the type of patient, for example, the cognitive distortions related to the insomnia symptoms are improved after the cognitive distortions of the patient's original personality are improved, so that a greater improvement in symptoms can be expected compared to disease-specific treatment alone. Here, in the case of insomnia, multiple cognitive problems are often related, so it is preferable to have at least three or more works programmed.
Counseling is performed by storing data based on questions and answers during counseling sessions held at medical institutions in the storage device 109, and providing the data in chatbot format via the treatment application program. Here, it is assumed that the data is provided as a document via the user terminal 101 using the chatbot, but the data may be provided to the user via the user terminal 101 in other ways, such as through voice dialogue, and may be configured so that the user can select between these.

Example 1
FIG. 4(a) shows a flow of symptom improvement by the insomnia treatment app according to the first embodiment of the present invention. First, the user (patient) downloads and installs the insomnia treatment app (this app) from the system 100 (or a download server such as Google Play (registered trademark) or Apple Store (registered trademark)) on the user terminal 101. Next, when the user starts this app, he/she first inputs information about the daily sleep situation according to the input screen of FIG. 2(b) (A4-1). The input values are transmitted to the system 100 via the network 110 and are stored in the storage device 109 in the format of FIG. 2(a). The recording period of this initial sleep diary is set by the user or the medical institution, but is preferably two weeks or more. Next, around the start of the sleep diary (it may be before, during, or after the end of the initial input, but it is set at the same time as the start of the sleep diary input here), educational content is provided from the system 100 to this app. As for educational content, disease educational content, psychological educational content, and type-specific educational content are provided in sequence as appropriate (A4-2). After providing these educational contents, it is possible to conduct a comprehension test to check the comprehension of the content. In addition, the content that has been provided once can be called up from the user terminal 101 so that the user can view it again.

After the educational content is completed (or in parallel, as the case may be), as shown in FIG. 3, the user inputs via the input device 111 based on the questions sent from the system 100, which are then sent to the system 100 via the network 110 and stored together with the user information in the storage device 109 (A4-3). A unique ID is assigned to the user, and information used in the system is stored in association with that ID.

Next, a program stored in system 100 performs an assessment (classifies the user into a type) based on a statistical analysis of the input questions (A4-4). Here, for example, the program of system 100 analyzes the values of the AIS questions input in FIG. 3(a), the GAD-7 value input in FIG. 3(b), and the PHQ-9 value input in FIG. 3(c), and typically classifies the user into a type using the total scores of each, as follows: (0) AIS value of 10 or more, and at least one of the GAD-7 and PHQ-9 values of 15 points or more (severe, in this case an alert is issued to a medical institution, etc.); (1) AIS value of 3 points or less is Type 1 (healthy); state), (2) AIS value of 4-9 or more, GAD-7 value of 4 or less, PHQ-9 value of 4 or less (anxious type), (3) AIS value of 4-9 or more, GAD-7 value of 5-14, PHQ-9 value of 4 or less (depressed type), (4) AIS value of 4-9 or more, GAD-7 value of 4 or less, PHQ-9 value of 5-14, (5) AIS value of 4-9, GAD-7 and PHQ-9 values of 5-14 (mixed depressed and anxious type). Here, the classification algorithm can be further broadened or subdivided by index items, numerical values, or other statistical analysis methods or analysis using AI.

Next, a sleep diary assessment is performed. Sleep diary assessment can also be considered a disease-specific assessment. When assessing sleep using a sleep diary, if the actual sleep time is shorter than 6 hours, it is determined to be a short sleep type; if the time from falling asleep to falling asleep is 30 minutes or more, there is an abnormality in sleep onset; and if the sleep quality is evaluated as low, there is an abnormality in sleep quality (for example, sleep quality rated at 2 or less on a 5-point scale). For example, if a patient's actual sleep time is an average of 400 minutes and the average time in bed is 540 minutes, he or she is determined to be an abnormality in sleep onset type.

The average time in bed over a two-week period is calculated from the time spent in bed, and the average actual sleep time is calculated from the actual sleep time. Here, the target time in bed is set using the following formula.
Target time in bed = average actual sleep time + 30 minutes However, this target time in bed can be changed in consultation with a medical professional or according to the patient's sleep quality. The bedtime is then set based on this target time in bed. As a rule, this bedtime is set based on the bedtime on days when the quality of sleep was good in the sleep diary, but it can be changed at the patient's request. During the treatment period, the patient is asked to enter information into the sleep diary via Figure 2 (b), and the results are stored in the storage device 109.
FIG. 5(a) shows a screen display showing the recommended sleep times from the system for a patient with an average actual sleep time of 420 minutes, an average time in bed of 500 minutes, and an average time in bed of 10:30 PM. The bedtime and wake-up time can be set by touching the up and down icons on the screen. The recommended times from the system can be set daily, but it is more convenient to set them weekly while checking the effect of treatment. It is more convenient to evaluate whether the set values have been achieved every week. If the desired bedtime and wake-up times are achieved during this evaluation but the quality of sleep has not improved, the bedtime and wake-up times for the next week are set so that the time in bed is +15 minutes. The increment may be set appropriately.

Next, when the patient's type is determined based on the patient assessment results, the treatment module program is determined based on the list stored in the storage device 109 (which records which treatment module is provided for each type. It is also possible to record not only treatment modules but also psychological education, disease education, etc., provided according to type as necessary). In FIG. 6(a), type 1 indicates an anxiety type, type 2 indicates a depression type, and type 3 indicates a depression type/sleep disorder type. Other types are omitted for the sake of simplicity. Since disease education and assessment are performed in the first and second weeks, treatment is performed from the third week, and capital letters indicate cross-diagnostic treatment modules as described above, and lowercase letters indicate disease-specific treatment modules as described above. If the patient is type 1, treatment modules A, B, a, b, c, and d are provided from the system 100 to the user terminal 101 according to the schedule, and the patient receives treatment using the user terminal 101. The list of disease education and treatment modules is configured according to each type, and treatment modules such as a treatment module for relaxation, a treatment module for stress management, and a treatment module for cognitive restructuring are provided in order based on the above list to enhance the treatment effect. In addition, additional treatment modules such as mindfulness meditation may be added as optional elements. This program may be modified from treatment data accumulated in the system 100. It may also be modified to automatically improve using AI, or it may be a list using conditions that change the treatment module depending on the patient's treatment status, or I may be used to select and provide an appropriate treatment module as appropriate. In addition, after each module is implemented, the sleep-related indexes stored in the storage device 109 are provided to the user via the user terminal 101 and the user is asked to answer using the input means, and the answer is evaluated as a threshold value stored in the storage device 109. If the answer does not exceed the threshold value, the same module is provided to the user again, or another treatment module that has a similar effect is provided, or the doctor is informed via a doctor terminal (not shown), and depending on the doctor's response, the next module is advanced to, or the previous module or a module similar to the previous one is provided. Psychosomatic symptoms are often caused by multiple factors (psychobiosocial factors of the user, such as a strong tendency towards depression or a strong tendency towards anxiety) that are linked or deeply related to each other. In particular, in the case of anxiety disorders, if a patient is under a lot of stress and is unable to correct cognitive distortions, and tries to correct the mistaken belief that they will be able to fall asleep if they go to bed early, but the stress state does not improve, even if they receive instruction about cognitive distortions, they may become impatient and be unable to correct the cognitive distortion, resulting in insomnia not being cured. For this reason, it is highly effective to provide patients with a transdiagnostic treatment module that works on biopsychosocial factors, especially in order to improve symptoms specific to a specific disease.

In this program, an example is shown in which the treatment module is updated weekly when the patient performs a treatment module, but if the evaluation of the treatment effect in the sleep diary shows no effect when compared with the previous time, if biofeedback using vital sign measurements (not shown) shows no improvement, or if a doctor inputs instructions through communication with a doctor's terminal (not shown), the previous week's module may be provided again, or if a treatment module comprehension test shows a low level of comprehension, the same module may be provided again, or other corrections may be made.

Example 2
FIG. 4(b) shows a flow of symptom improvement using the insomnia treatment application according to the second embodiment of the present invention.
In this embodiment, educational content and a typical transdiagnostic treatment module are provided from the system 100 to the user terminal 101 in 1-2 weeks, questions and assessments are only cross-disease related (transdiagnostic assessments may also be performed), and a treatment program is provided that provides a treatment module according to the type, as shown in Fig. 6(b). In other respects, the treatment app is controlled in the same manner as in the first embodiment.

Example 3
FIG. 4(c) shows a flow of symptom improvement using an insomnia treatment application according to the third embodiment of the present invention.
In this embodiment, educational content is provided from the system 100 to the user terminal 101 in 1-2 weeks, questions and assessments are only cross-sectional (cross-diagnosis assessments may also be performed), a type is determined, and a treatment program is provided that provides a disease-specific treatment module according to the type. In other respects, the treatment app is controlled in the same manner as in the first embodiment.

In the above-mentioned Examples 1-3, an example was shown in which a series of controls were controlled by a treatment app, but for example, in Example 1, after the flow of A4-4, the assessment results are presented to the medical institution. Alternatively, the type can be specified on an input terminal (not shown) of the medical institution connected to the system 100 (input can also be made from the user terminal 101), and based on that result, the flow from the provision of the treatment module A4-5 from the system can be received by the user terminal 101, and treatment can be started.

Furthermore, the treatment app may have a function for managing the patient's medication schedule and may be configured to provide the user with a treatment module in conjunction with medication. Prescriptions for medication may be linked to terminals used by medical institutions, doctors, and pharmacists.

Therapeutic modules of the present invention can also be provided to users using technologies such as the metaverse, VR, and AR.

Each flow is shown as a functional unit of a software program installed in the system, but this is not limited to this and the system may be composed of hardware using hardware (such as FPGA) to execute each functional unit, or a combination of these.

If the user's input results for each indicator indicate that the condition is serious, or if the therapeutic app is not being effective, an alert may be issued to a terminal (not shown) of a medical institution or the like connected to the system via a communication line, and instructions from the medical institution in response to the alert may be transmitted to the user, or an alert may be issued and a prompt to the user to stop using the therapeutic app may be displayed at the same time.

In the case of insomnia, there are known to be undesirable behaviors that can improve the insomnia state. For example, taking caffeine, taking naps, staying in bed unable to sleep, etc. It is effective to provide a free entry section in the sleep diary that the patient records every day via the user terminal 101, and if an action entered in the free entry section matches one of the undesirable actions described above that are stored in the storage device 109, to raise the patient's awareness by issuing an alert such as an alert message on the terminal.

Although examples have been shown and explained in Examples 1 to 5, it goes without saying that the elements used in each example can be added to the configuration of the other examples.

101 User information terminal 102 Communication unit 103 Control device 104 Storage device 105 Display device 106 Server 107 Control device 108 Communication unit 109 Storage device 110 Internet 111 Input device

Claims (4)

A memory storing a disease-specific index for diagnosing insomnia, a sleep diary that records the user's sleep state, a treatment module that performs a disease-specific psychotherapy for insomnia, and a list of treatment modules according to the type of insomnia of the user ;
A user terminal for inputting a user's answers to the index for diagnosing insomnia and/or inputting daily records in a sleep diary that records the user's sleep state, and for providing the user with the treatment module;
A control unit that assesses the type of insomnia of the user through statistical analysis or AI analysis of the user's answers and/or the daily records, and provides the user terminal with a treatment module according to the type based on the list stored in the memory ;
A system for treating, improving, and self-care for insomnia. a transdiagnostic index and a treatment module for implementing a transdiagnostic psychotherapy;
The user terminal is further utilized to input a user's response to the cross-diagnostic indicator;
2. The system for treating, improving and self-care for insomnia according to claim 1, wherein the assessment further uses the user's responses to the cross-diagnostic indicators. A memory storing a disease-specific index for diagnosing insomnia, a sleep diary that records the user's sleep state, and a treatment module according to the type of insomnia of the user that performs disease-specific psychotherapy for insomnia;
a user terminal for inputting a user's answers to the index for diagnosing insomnia, inputting daily records in a sleep diary that records the user's sleep state, and providing the user with the plurality of treatment modules;
A control unit that assesses the type of insomnia of the user through statistical analysis or AI analysis of the user's answers and the daily records, provides the assessment result to the user terminal , and provides the user terminal with a treatment module according to the type of insomnia of the user ;
A system for treating, improving, and self-care for insomnia. A treatment module that performs a disease-specific psychotherapy for insomnia , and a memory that stores a list of treatment modules according to the type of insomnia of the user ;
a user terminal for providing the treatment module to a user;
A medical institution terminal or the user terminal for inputting a type of insomnia of a user;
A control unit that provides the user terminal with a treatment module according to the type based on the list stored in the memory ;
A system for treating, improving, and self-care for insomnia.