CN114566260A - Mental health auxiliary intervention system - Google Patents
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Abstract
The application provides a mental health auxiliary intervention system, can combine together cognitive behavioral therapy and intelligent terminal, utilize intelligent terminal as cognitive behavioral therapy's carrier, not only be favorable to popularizing the correct understanding of depression to more extensive crowd, correct people to the prejudice of depression, still because convenience, the confidentiality of this kind of mode, can protect depression crowd's privacy well, eliminate depression crowd's conflict to the psychological intervention better, and, can make the user in time discover the depression mood, also can give the timely psychological intervention of user, thereby improve the proportion of the people who obtains timely intervention among the depression crowd by a wide margin. The personal scale evaluation information of the user is matched with the reference scale evaluation information of the business cards in the preset business card library to determine the target business card, so that a corresponding target intervention scheme is obtained, the target intervention scheme is decomposed into a plurality of staged tasks, and the staged tasks are pushed to the user in stages, so that effective intervention on the user is facilitated.
Description
Technical Field
The application relates to the field of mental health, in particular to a mental health auxiliary intervention system.
Background
Depression is the most common depressive disorder, with significant and persistent mood swings as the primary clinical feature, the major type of mood disorder. The low mood is not matched with the situation in clinic, the depression of the mood can be from sultriness to sadness, and the self-declining depression and even the pessimism are taken away, and suicide attempts or behaviors can be caused; even the occurrence of stupor; in some cases, anxiety and motility were evident; in severe cases, psychotic symptoms such as hallucinations and delusions may occur. Each episode lasts at least 2 weeks, more than long, or even years, and most cases have a tendency to have recurrent episodes, most of which can be alleviated, and some of which can have residual symptoms or become chronic.
Scientific research proves that the cognitive behavior psychotherapy is a method which can help us to understand and control own depression mood, has obvious curative effect on treating depression, and is a first-line treatment scheme recommended by clinical depression treatment guidelines in countries such as the United states, the United kingdom, Canada and China.
At present, because the development of the domestic mental health industry is slow, the supply and demand imbalance of psychologists is serious, people still have bias factors and other factors on the understanding of depression, only a small part of depressed people can be intervened in time, and the recovery of depressed patients is not facilitated.
Disclosure of Invention
The embodiment of the application aims to provide a psychological health auxiliary intervention system, so that the conflict of a depressed crowd on psychological intervention is reduced, and the psychological intervention is given to the depressed crowd in time.
In order to achieve the above object, embodiments of the present application are implemented as follows:
in a first aspect, an embodiment of the present application provides a mental health auxiliary intervention system, including: the system comprises an information acquisition unit, a personal scale evaluation information acquisition unit and a personal information processing unit, wherein the personal scale evaluation information acquisition unit is used for acquiring personal scale evaluation information of a user, the personal scale evaluation information comprises a scale information part and a personal information part, the scale information part comprises at least one of depression self-evaluation questionnaire information, anxiety self-evaluation questionnaire information, sleep self-evaluation questionnaire information, arhat function impairment self-evaluation questionnaire information, somatic symptom self-evaluation questionnaire information, psycho-elasticity self-evaluation questionnaire information and depression thinking mode questionnaire information, and the personal information part comprises personal information and incentive information of the user; the scheme recommendation unit is used for matching the personal scale evaluation information with reference scale evaluation information of business cards in a preset business card library to determine a target business card and taking a reference intervention scheme corresponding to the target business card as a target intervention scheme of the user, wherein each business card in the preset business card library has corresponding reference scale evaluation information and reference intervention scheme, and the completion degree and the intervention effect of each reference intervention scheme reach the standards; and the psychological intervention unit is used for decomposing the target intervention scheme into a plurality of stage tasks, pushing the stage tasks to the user in stages and acquiring the completion degree information of the user on the stage tasks, wherein the stage tasks comprise course learning, post-session exercise, relaxation projects and practical activities.
In the embodiment of the application, the mental health auxiliary intervention system is utilized, the cognitive behavioral therapy and the widely used intelligent terminal can be combined, the intelligent terminal is utilized as a carrier of the cognitive behavioral therapy, the correct cognition of the depression is favorably popularized to wider crowds, the bias of people on the depression is corrected, the privacy of the depressed crowds can be well protected due to the convenience, confidentiality and the like of the mode, the conflict of the depressed crowds on the psychological intervention can be better eliminated, the user can find the depression in time, the timely intervention can be given to the user, and the proportion of people who get the timely intervention in the depressed crowds is greatly improved. The target business card is determined by matching the personal scale evaluation information of the user with the reference scale evaluation information of the business cards in the preset business card library, a corresponding reference intervention scheme (namely a target intervention scheme) is further determined, the target intervention scheme is decomposed into a plurality of stage tasks (course learning, post-session exercise, relaxation projects and practice activities) by using the mental health auxiliary intervention system, and the stage tasks are pushed to the user in stages, so that the effective intervention on the user is facilitated.
With reference to the first aspect, in a first possible implementation manner of the first aspect, if there is no historical scale evaluation information of the user in the mental health assistance intervention system, the plan recommendation unit is further configured to: evaluating incentive information in information according to the personal scale, and screening the business cards in the preset business card library to obtain a primary selection business card set with mutually matched incentive information, wherein the incentive information comprises one or more types of family problems, emotional problems, work problems and emergencies; determining a module to be intervened with abnormal scale scores according to the scale information part in the personal scale evaluation information, wherein the abnormal scale scores of the module to be intervened indicate that the user has a fault in the module and needs to intervene; matching the scale scores of the modules to be intervened with the scale scores of the corresponding modules of the business cards in the primary selection business card set to obtain a first matching degree, and determining a plurality of business cards to be selected, wherein the first matching degree reaches a set matching degree; determining a difference value between the business card to be selected with the highest first matching degree and the business card to be selected with the second highest first matching degree; if the difference value is smaller than a first set value and the number of the business cards to be selected is larger than a second set value, matching the personal information in the personal scale evaluation information with the personal information of the reference scale evaluation information in each business card to be selected to obtain a second matching degree, and determining the business card to be selected with the highest second matching degree as the target business card; and if the difference value is not less than a first set value or the number of the business cards to be selected is not more than a second set value, determining the business card to be selected with the highest first matching degree as the target business card.
In this implementation, there are usually triggers for the generation of depressed mood, and the specific mechanisms by which different triggers lead to the generation of depressed mood may also differ, requiring intervention regimens with different emphasis to be employed for better intervention. Therefore, the calling cards in the preset calling card library are screened by using the incentive information to obtain a primary calling card set, so that the data processing amount during matching can be effectively reduced, and the matching efficiency of the system is improved. If the difference value is not less than the first set value or the number of the business cards to be selected is not greater than the second set value, it is indicated that the business card to be selected with the highest first matching degree has a higher matching degree, and the business cards close to the first matching degree are fewer, at this time, factors such as gender, occupation, age and the like do not need to be considered, and therefore the business card to be selected with the highest first matching degree can be determined as the target business card.
With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the scheme recommending unit is further configured to:
the first matching degree is calculated in the following way:
wherein, P1Representing a first degree of match; n is a radical ofY1A score vector representing a module to be intervened by the user; n is a radical ofM1A score vector representing a corresponding module of the business card whose score difference is within a set range; n represents the number of the evaluation questions of the questionnaire of the module to be intervened and also represents the dimension of the fraction vector; fmaxMaximum option score representing the questions evaluated in the questionnaire of the module to be intervened, FminThe minimum option score of the evaluation questions in the questionnaire of the module to be intervened is represented, and the score of each evaluation question in the questionnaire of the module to be intervened is assignedThe same is true.
In this implementation, the first matching degree is determined in this way, and matching calculation may be performed after a round of screening by using the scale score, so that the workload is reduced while the matching accuracy is ensured. In addition, the calculation mode of the first matching degree can consider the scoring condition of each evaluation question in the questionnaire of the module to be intervened, so that accurate matching is facilitated.
With reference to the first possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the scheme recommending unit is further configured to:
matching the sex, age and occupation of the personal information in the personal scale evaluating information with the personal information of the business card to obtain a second matching degree, and specifically adopting the following method:
P2＝(w1G+w2W+w3A)*100％，
wherein, P2Representing a second degree of match; w is a1+w2+w31, respectively representing corresponding weight values; g represents the gender matching score, the different values of the gender are 0, and the same value of the gender is 1; w represents the occupation matching score, the different values of the occupation are 0, and the same value of the occupation is 1; a represents an age matching score, the value is 0-1, and the value is determined in the following way:
Amax＝max(AY，AM)，
wherein A isYAge in personal information representing a user; a. theMRepresenting the age in the personal information of the name card to be selected; a. themaxIs represented by AYAnd AMThe larger of them.
In the implementation mode, the common sex, the occupation, the age range and the like, the environment and the facing problem have more commonalities, the generation mechanism of the depressed mood is likely to be closer, and the second matching degree is calculated in such a way, so that the influence of the factors such as the sex, the age and the occupation can be better considered, and the matching precision is improved.
With reference to the first possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the scheme recommending unit is further configured to: determining a set matching degree keeping a constant matching degree difference with the highest first matching degree; and determining a plurality of business cards to be selected, wherein the first matching degree reaches the set matching degree.
In the implementation mode, the mode can ensure that a plurality of business cards to be selected can be determined each time as much as possible.
With reference to the first aspect, in a fifth possible implementation manner of the first aspect, if historical scale evaluation information of the user exists in the mental health assistance intervention system, the scale information part in the personal scale evaluation information further includes scale change information, and the plan recommendation unit is further configured to: determining a module to be intervened according to a scale information part in the personal scale evaluating information, wherein the module to be intervened represents that the scale score corresponding to the module of the user is abnormal in the past or abnormal in the present and needs to be intervened; matching the scale score of the module to be intervened with the scale score of the corresponding module of the business card to obtain a third matching degree aiming at each business card in the preset business card library, and matching the scale change information of the module to be intervened with the scale change information of the corresponding module of the business card to obtain a fourth matching degree; determining the comprehensive matching degree corresponding to the business card according to the third matching degree and the fourth matching degree of the same business card; and determining the business card with the highest comprehensive matching degree as the target business card.
In this implementation, since the psychological intervention needs to consolidate the intervention effect, the scale score corresponding to one module needs to intervene even if the scale score is normal (the scale score corresponding to the module is abnormal last time). The target business card is determined in a comprehensive matching degree mode, and the target business card with the highest matching degree with the personal scale evaluation information of the user can be determined by comprehensively considering various factors.
With reference to the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the scheme recommending unit is further configured to:
the third matching degree is calculated in the following way:
wherein, P3Representing a third degree of matching; n is a radical ofY3A score vector representing a module to be intervened by the user; n is a radical ofM3A score vector representing a corresponding module of the business card; n represents the number of the evaluation questions of the questionnaire of the module to be intervened and also represents the dimension of the fraction vector; fmaxMaximum option score representing the questions evaluated in the questionnaire of the module to be intervened, FminAnd the minimum option score of the evaluation questions in the questionnaire of the module to be intervened is represented, and the scores of all the evaluation questions in the questionnaire of the module to be intervened are the same.
In the implementation mode, the third matching degree can be accurately calculated through the above modes, the answering information of each evaluation question can be considered, and the third matching degree is used as the basis of further matching, so that the matching accuracy is favorably improved.
With reference to the fifth possible implementation manner of the first aspect, in a seventh possible implementation manner of the first aspect, the scale change information is an N-dimensional vector, and the dimension N is consistent with the number N of the evaluation questions of the corresponding scale, and the scheme recommending unit is further configured to: calculating the scale change information N of the module to be intervened1The scale change information N of the corresponding module of the name card2The difference vector N' therebetween; calculating the modular length of the difference vector N'; and calculating the fourth matching degree according to a preset conversion relation and the model length.
With reference to the seventh possible implementation manner of the first aspect, in an eighth possible implementation manner of the first aspect, the scheme recommending unit is further configured to:
the fourth matching degree is calculated in the following manner:
N′＝N1-N2，
wherein, P4Represents a fourth degree of matching; n is a radical of hydrogen1The scale change information of the module to be intervened is represented; n is a radical of2Table change information indicating a corresponding module of the business card; n' represents the gauge change information N of the module to be intervened1The scale change information N of the corresponding module of the name card2A disparity vector therebetween; n represents the number of the evaluation questions of the questionnaire of the module to be intervened and also represents the dimension of the fraction vector; fmaxMaximum option score representing the evaluation questions in the questionnaire of the module to be intervened, FminAnd the minimum option score of the evaluation questions in the questionnaire of the module to be intervened is represented, and the scores of all the evaluation questions in the questionnaire of the module to be intervened are the same.
In the implementation mode, the fourth matching degree can be accurately calculated through the above modes, the answer change condition of each evaluation question in the scale change information can be considered, the answer change condition is used as the basis of further matching, and the matching accuracy is favorably improved.
With reference to the fifth possible implementation manner of the first aspect, in a ninth possible implementation manner of the first aspect, the scheme recommending unit is further configured to:
judging whether the third matching degree and the fourth matching degree of the same business card respectively reach corresponding set values;
if the third matching degree and the fourth matching degree of the same business card reach corresponding set values, calculating the comprehensive matching degree by adopting the following formula:
P＝aP3+bP4，
wherein P represents the overall matching degree, P3And P4Represents the third matching degree and the fourth matching degree, respectively, and a + b is 1;
if the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, the comprehensive matching degree is calculated by adopting the following formula:
P＝c*(aP3+bP4)，
wherein c < 1.
In the implementation mode, the comprehensive matching degree is calculated in such a way, so that not only the matching situation of the scale scores and the matching situation of the scale change information can be considered, but also the synergistic effect of the two can be considered. Multiplying the third matching degree and the fourth matching degree of the same business card by a weight value 1 (omitted) when the third matching degree and the fourth matching degree of the same business card reach corresponding set values; and multiplying the weight c (c <1) when the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, thereby considering the synergistic effect of the third matching degree and the fourth matching degree.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
To more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic diagram of a mental health assistance intervention system according to an embodiment of the present application.
Icon: 100-a mental health auxiliary intervention system; 110-an information acquisition unit; 120-a solution recommendation unit; 130-psychological intervention unit.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of a mental health assistance intervention system 100 according to an embodiment of the present application.
In this embodiment, the mental health auxiliary intervention system 100 may utilize a smart terminal (e.g., a smart phone, a personal computer, a tablet computer, etc.) as a tool for interacting with a user, and the mental health auxiliary intervention system 100 is partially or wholly embedded in the smart terminal to implement the functions of the mental health auxiliary intervention system 100. For the case that the mental health auxiliary intervention system 100 is partially built in the intelligent terminal, the following may be used: the intelligent terminal is in communication connection with the server, and the parts (such as the information acquisition part, the content display part, the content reminding part, and the like) related to the interaction with the user in the mental health assistance intervention system 100 are embedded in the intelligent terminal, while the parts (such as the information evaluation part, the intervention scheme determination part, and the like) related to the data operation processing are embedded in the server, which is not limited herein.
In the present embodiment, the mental health assistance intervention system 100 may include an information acquisition unit 110, a plan recommendation unit 120, and a mental intervention unit 130.
For example, the information obtaining unit 110 may be configured to obtain the personal scale evaluation information of the user. The personal scale evaluation information may include a scale information part and a personal information part: the scale information part comprises at least one of depression self-evaluation questionnaire information, anxiety self-evaluation questionnaire information, sleep self-evaluation questionnaire information, arhat's function damage self-evaluation questionnaire information, physical symptom self-evaluation questionnaire information, psychological elasticity self-evaluation questionnaire information and depression thinking mode questionnaire information; and the personal information part contains personal information and incentive information of the user.
For example, all the scale information (each of which contains information of a user's response to each evaluation question of the scale) in the scale information section including depression self-rating scale information, anxiety self-rating scale information, sleep self-rating scale information, arhat's function impairment self-rating scale information, somatic symptom self-rating scale information, psychological elasticity self-rating scale information, and depression thinking pattern scale information is taken as an example, but should not be taken as a limitation of the present application. Here, each questionnaire information contains a plurality of corresponding evaluation questions.
Here, the personal information may include (without limitation) the age, sex, and occupation of the user; the incentive information indicates a direct cause of a user falling into a depressed mood or a significantly aggravated depressed mood, and may include one or more of a family problem (e.g., family relation), an emotional problem (e.g., love relation), a work problem (e.g., job change, work pressure, etc.), and an emergency (e.g., accident, traumatic event, etc.) (in this embodiment, the incentive information includes the family problem, the emotional problem, the work problem, and the emergency).
In this embodiment, the user may perform information filling and corresponding rating through the intelligent terminal, so that the information obtaining unit 110 may obtain personal rating information (including a rating information part and a personal information part) of the user, that is, obtain depression self-rating questionnaire information, anxiety self-rating questionnaire information, sleep self-rating questionnaire information, hispanica function impairment self-rating questionnaire information, somatic symptom self-rating questionnaire information, psychoelasticity self-rating questionnaire information, depression thinking mode questionnaire information of the user, and the age, sex and occupation of the user, a specific incentive information category (which may be one of a family problem, an emotional problem, a work problem and an emergency, or may include multiple of them at the same time, which is not limited herein).
In addition, in the case that the mental health auxiliary intervention system 100 does not have the historical rating information of the user (i.e. the user is a new user and does not use the mental intervention service of the mental health auxiliary intervention system 100 through the user account), the individual rating information includes the content information (including the rating information part and the individual information part). In the case that the mental health auxiliary intervention system 100 has historical rating information of the user (i.e. the user is an old user who has used the mental health auxiliary intervention service of the mental health auxiliary intervention system 100 through the account of the user), the individual rating information includes, in addition to the content information (including the rating information part and the individual information part), rating information part further including rating change information, where the rating change information indicates difference information between current questionnaire information and such questionnaire information that is rated last time.
For example, in the current depression self-rating questionnaire information and the depression self-rating questionnaire information that the user evaluated last time (for example, evaluated two months ago), the difference between the response information of each evaluation question is represented by the scale change information. Because the evaluation questions in the questionnaire information are usually fixed with options, each option is assigned with a score, the scale change information can be represented by an N-dimensional vector, and N in the place can be consistent with the number of the evaluation questions in the questionnaire information.
In this embodiment, the mental health assistance intervention system 100 may have a preset business card library, where the preset business card library includes a plurality of business cards, and each business card may be regarded as a tag and has uniqueness. And each business card is provided with corresponding reference scale evaluation information and reference intervention schemes, and the completeness and the intervention effect of each reference intervention scheme reach the standard. The reference scale evaluation information can be regarded as reference scale information of a user (including a scale information part and a personal information part, some scale information parts include scale change information, some scale information parts do not include scale change information, and the reference scale evaluation information is not limited), and the completion degree of each reference intervention scheme reaches the standard (the intervention scheme is guaranteed to be effective) and the intervention effect reaches the standard (the intervention scheme is guaranteed to reach the standard).
For example, the plan recommending unit 120 may be configured to match the personal scale evaluation information with reference scale evaluation information of business cards in a preset business card library, determine a target business card, and use a reference intervention plan corresponding to the target business card as a target intervention plan of the user.
Here, the personal scale evaluation information is matched with reference scale evaluation information of business cards in a preset business card library to determine the specific mode of the target business card, and the specific mode can be introduced according to two conditions:
in the first case: if the historical scale evaluation information of the user does not exist in the mental health auxiliary intervention system 100, the user is determined to be a new user. At this time, the plan recommending unit 120 may evaluate incentive information in the information according to the personal scale, and screen the business cards in the preset business card library to obtain a primary selection business card set with mutually matched incentive information, where the incentive information includes one or more types of family problems, emotional problems, work problems, and emergencies.
Because there are usually causes for the generation of depressed mood, and the specific mechanisms that different causes lead to the generation of depressed mood may also be different, it is necessary to adopt different emphatic intervention schemes to achieve better intervention. Therefore, the calling cards in the preset calling card library are screened by using the incentive information to obtain a primary calling card set, so that the data processing amount during matching can be effectively reduced, and the matching efficiency of the system is improved.
Certainly, in an actual situation, in the incentive information of the user, there may be more than one type of problem (a family problem, an emotional problem, a work problem, and an emergency event) but a combination of multiple types of problems, so during the screening, all the business cards that partially or completely coincide with the incentive information of the user may be determined as the business cards in the primary business card set, and after the subsequent matching process is completed, the business cards with high coincidence degree are preferentially selected as the target business cards, which is not limited herein.
Then, the plan recommending unit 120 may determine the module to be intervened with an abnormal scale score according to the scale information portion in the personal scale evaluation information, where the abnormal scale score of the module to be intervened indicates that the user has an obstacle in the module and needs to intervene.
Here, the mode of determining the module to be intervened may be that the plan recommendation unit 120 obtains a score corresponding to each questionnaire information in the scale information portion, and determines whether the score meets a set normal score range, so as to determine whether the user has an abnormal scale score in the module (one module corresponds to each questionnaire information) to determine whether the module is the module to be intervened.
Of course, the number of the modules to be intervened determined here may be 0 (there is no module to be intervened), may be 1 (there is one module to be intervened), and may also be 2 to 7 (there are a plurality of modules to be intervened).
For convenience of description, in this embodiment, a case where there is one module to be intervened is taken as an example, and a specific description is given to a determination method of a target business card.
In this embodiment, the plan recommending unit 120 may match the scale score of the module to be intervened with the scale score of the corresponding module of the business cards in the primarily selected business card set to obtain a first matching degree, and determine a plurality of business cards to be selected, where the first matching degree reaches the set matching degree.
For example, the plan recommendation unit 120 may match the scale score of the module to be intervened with the scale score of the corresponding module of the business cards in the primary selection business card set, determine the business cards whose score difference is within a set range (e.g. within 5 points and within 8 points), then, matching the score vector of the module to be intervened (an N-dimensional vector, N is consistent with the number of the evaluation questions of the questionnaire of the module, each element of the N-dimensional vector represents the score of one evaluation question) with the score vector of the module in the business card with the score difference within the set range (for example, subtracting the two vectors and then calculating a module, wherein the smaller the obtained module length, the higher the matching degree, the conversion can be carried out through the set conversion relation), thereby obtaining a first matching degree between the scale score of the module to be intervened and the scale score of the corresponding module of different business cards (each business card with the score difference within the set range).
Specifically, the first matching degree may be calculated in the following manner:
wherein, P1Representing a first degree of match; n is a radical of hydrogenY1A score vector representing a module to be intervened by the user; n is a radical of hydrogenM1A score vector representing a corresponding module of the business card whose score difference is within a set range; n represents the number of the evaluation questions of the questionnaire of the module to be intervened and is also the dimension of the fraction vector; fmaxMaximum option score representing the questions evaluated in the questionnaire of the module to be intervened, FminThe minimum option score of the evaluation questions in the questionnaire of the module to be intervened is represented, and the scores of all the evaluation questions in the questionnaire of the module to be intervened are the same (the maximum option score and the minimum option score are respectively corresponding to the same).
By means of the method for determining the first matching degree, matching operation can be performed after one round of screening is performed by using the scale score, and workload is reduced while matching accuracy is guaranteed. In addition, the calculation mode of the first matching degree can consider the scoring condition of each evaluation question in the questionnaire of the module to be intervened, so that accurate matching is facilitated.
Then, the plan recommending unit 120 may determine a plurality of business cards to be selected, for which the first matching degree reaches the set matching degree. Here, the set matching degree may be set in advance or may be updated in real time.
To ensure that at least one business card to be selected (usually a plurality of business cards to be selected) can be determined each time, the plan recommendation unit 120 may determine a set matching degree that maintains a constant matching degree difference with the highest first matching degree, for example. For example, the highest matching degree is 90%, and the constant matching degree difference is set to 5%, then the matching degree is set to 85%. Then, the plan recommending unit 120 may determine a plurality of business cards to be selected, for which the first matching degree reaches the set matching degree.
Therefore, the plan recommending unit 120 may determine a plurality of business cards to be selected, for which the first matching degree reaches the set matching degree. Then, the plan recommending unit 120 may further determine a difference value between the business card to be selected with the highest first matching degree and the business card to be selected with the second highest first matching degree.
If the difference value between the business card with the highest first matching degree and the business card with the second highest first matching degree is smaller than a first set value (for example, 1%), and the number of the business cards to be selected is larger than a second set value (for example, 10 or 20), it is indicated that the preliminarily determined difference degree between the business cards to be selected is small, and the preliminarily determined business cards are large in number, so that the business card closest to the personal scale evaluation information of the user can be further matched to serve as the target business card.
For example, the plan recommending unit 120 may match the personal information in the personal scale evaluation information of the user with the personal information of the reference scale evaluation information in each business card to be selected to obtain a second matching degree, and determine the business card to be selected with the highest second matching degree as the target business card. For example, matching gender, age, and occupation in the personal information with the personal information of a business card to obtain a second matching degree, specifically adopting the following method:
P2＝(w1G+w2W+w3A)*100％， (2)
wherein, P2Representing a second degree of match; w is a1+w2+w31, respectively representing corresponding weight values; g represents a gender matching score, and the value is 0 (different gender) or 1 (same gender); w represents occupation matching score, and the value is 0 (different occupation) or 1 (same occupation); a represents the age matching score, the value is 0-1, and the value is determined in the following mode:
Amax＝max(AY，AM)， (4)
wherein A isYAge in personal information representing a user; a. theMRepresenting the age in the personal information of the business card to be selected; a. themaxIs represented by AYAnd AMThe larger of them.
After the second matching degree is obtained, the plan recommending unit 120 may determine the business card to be selected with the highest second matching degree as the target business card.
The common sex, the occupation, the age range and the like, the environment and the facing problems have more commonality, the generation mechanism of the depressed mood can be more approximate, and the second matching degree is calculated in such a way, so that the influence of the factors such as the sex, the age, the occupation and the like can be better considered, and the matching precision is improved.
If the difference value is not less than the first set value or the number of the business cards to be selected is not greater than the second set value, it indicates that the business card to be selected with the highest first matching degree has a higher matching degree and the business cards close to the first matching degree are fewer, and at this time, the factors such as gender, occupation, age, and the like do not need to be considered, and the scheme recommending unit 120 may determine the business card to be selected with the highest first matching degree as the target business card.
In the second case: if the historical scale evaluation information of the user exists in the mental health auxiliary intervention system 100, the user is determined to be an old user. At this time, the scale information part in the personal scale evaluation information of the user further includes scale change information.
At this time, the plan recommending unit 120 may determine the module to be intervened according to the scale information part in the personal scale evaluation information, where the module to be intervened indicates that the scale score corresponding to the module of the user is abnormal in the past or abnormal in the present and needs to intervene. Because the intervention effect needs to be consolidated, the scale score corresponding to the module needs to be intervened even if the scale score is normal at this time (the scale score corresponding to the module is abnormal last time), so that compared with the determination method of the module to be intervened in the first case, the determination method of the module to be intervened in the second case needs to examine the module with the scale score abnormal last time.
After the module to be intervened is determined, the scheme recommending unit 120 may match the scale score of the module to be intervened with the scale score of the corresponding module of the business card to obtain a third matching degree, with respect to each business card in the preset name card library (the business card may be first screened to exclude the business card of which the scale information part of the reference scale evaluation information does not contain the scale change information). And matching the scale change information of the module to be intervened with the scale change information of the corresponding module of the business card to obtain a fourth matching degree.
For example, the solution recommending unit 120 may calculate the third matching degree in the following manner:
wherein, P3Representing a third degree of matching; n is a radical ofY3A score vector representing a module to be intervened by the user; n is a radical ofM3A score vector representing the corresponding module of the business card.
For example, the solution recommending unit 120 may calculate the table change information N of the module to be intervened1The scale change information N of the corresponding module of the name card2The difference betweenA vector N'; and then calculating the modular length of the difference vector N', and calculating a fourth matching degree according to a preset conversion relation and the modular length.
Specifically, the plan recommendation unit 120 may perform the calculation of the fourth matching degree in the following manner:
N′＝N1-N2， (6)
wherein, P4Represents a fourth degree of matching; n is a radical of1The scale change information of the module to be intervened is represented; n is a radical of2Table change information indicating a corresponding module of the business card; n' represents the gauge change information N of the module to be intervened1The scale change information N of the corresponding module of the name card2The difference vector between.
Through the method, the third matching degree and the fourth matching degree can be accurately calculated, the answer information of each evaluation question can be considered, the answer change condition of each evaluation question in the measurement table change information can be considered, the answer change condition is used as the basis of further matching, and the matching accuracy is favorably improved.
After the third matching degree and the fourth matching degree are calculated, the scheme recommending unit 120 may determine the comprehensive matching degree corresponding to the business card according to the third matching degree and the fourth matching degree of the same business card.
If the third matching degree and the fourth matching degree of the same business card both reach corresponding set values, the scheme recommending unit 120 may calculate the comprehensive matching degree by using the following formula:
P＝aP3+bP4， (8)
wherein P represents the degree of comprehensive matching, P3And P4Respectively, a third matching degree and a fourth matching degree, and a + b is 1.
If the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, the plan recommendation unit 120 may calculate the comprehensive matching degree by using the following formula:
P＝c*(aP3+bP4)， (9)
wherein c < 1.
By adopting the mode to calculate the comprehensive matching degree, not only the matching condition of the scale score and the matching condition of the scale change information can be considered, but also the synergistic effect of the two can be considered. Multiplying the third matching degree and the fourth matching degree of the same business card by a weight 1 (omitted in formula 8) when the third matching degree and the fourth matching degree of the same business card reach corresponding set values; and multiplying the weight c (c <1) when the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, thereby considering the synergistic effect of the third matching degree and the fourth matching degree.
Then, the plan recommending unit 120 may determine the business card with the highest comprehensive matching degree as the target business card. The target business card obtained by the method can comprehensively consider various factors, and the target business card with the highest matching degree with the personal scale evaluation information of the user can be determined.
It should be noted that, in this embodiment, the descriptions of the matching of the target business card performed by the plan recommendation unit 120 are all described by taking a single module to be intervened as an example, but should not be considered as a limitation to the present application. For the case of multiple modules to be intervened, the multiple modules to be intervened may be subjected to weight division, and after the corresponding matching degree at the calculation position is calculated, the corresponding matching degree may be obtained by performing weighting calculation, which is not described herein again.
After the personal scale evaluation information is matched with the reference scale evaluation information of the business card in the preset business card library and the target business card is determined, the scheme recommending unit 120 may use the reference intervention scheme corresponding to the target business card as the target intervention scheme of the user. Each business card in the preset business card library has corresponding reference scale evaluation information and reference intervention schemes, and the completeness and the intervention effect of each reference intervention scheme reach the standard.
In this embodiment, the reference intervention scheme is used as an intervention scheme corresponding to the business card, and includes a plurality of corresponding step-like tasks, such as curriculum learning, post-session exercise, relaxation projects, and practice activities. The course learning (the periodic task) here may be a unified course learning task, or may be a course learning task corresponding to the module to be intervened of the user, for example, there is an abnormal condition in the depressed thinking pattern, and the course learning task in the reference intervention scheme (i.e., the target intervention scheme) corresponding to the target business card may be a course learning video about the depressed thinking pattern. Accordingly, post-session exercises are associated with course learning. The relaxation items may be items that help the user relax, such as short music, soft music, abdominal breathing, progressive muscle relaxation, etc. The practical activities can be ways of helping the user participate in activities in life, establishing contact with others, and obtaining participation and recognition, and are beneficial to improving emotional experience of the user.
It should be noted that the present scheme (the mental health assistance intervention system 100) is designed based on the cognitive behavioral psychotherapy as a whole, and the course learning is also a selected course learning video related thereto (for example, a course regarding the nature and source of depression, a course regarding the perception of depressed thinking by recording activities, a course avoiding thinking traps, a course adjusting thinking misdistricts, a course adjusting attribution patterns, a course how to objectively treat oneself and others, and the like).
After obtaining the target intervention scheme, the psychological intervention unit 130 may decompose the target intervention scheme into a plurality of staged tasks, push the staged tasks to the user in stages, and obtain the completion degree information of the user on the staged tasks, where the staged tasks include course learning, post-session exercise, relaxation projects, and practice activities.
Since the reference intervention scheme itself can be understood as an intervention scheme which is derived from other users and has good intervention effect, the reference intervention scheme itself is constructed by a plurality of types of stage tasks (including execution conditions of the reference intervention scheme by the other users, such as completion degree information, an intervention schedule and the like). Thus, the psychological intervention unit 130 may disassemble the target intervention program into multiple types of staged tasks: curriculum learning, post-session exercise, relaxation projects, and practice activities.
Then, for each type of periodic task, the psychological intervention unit 130 may obtain an intervention frequency of the type of periodic task (e.g., twice a day, once a day, twice a week, once a week, etc.), and based on the intervention frequency (which may be combined with the work and rest schedule of the user), generate a task schedule of the type of periodic task (which may have as little or no effect on the normal work and rest time of the user), and further push the type of periodic task to the user based on the task schedule.
For each of the staged tasks, the psychological intervention unit 130 may further acquire the user's completion information of the staged task.
Of course, the mental health auxiliary intervention system 100 may further include an effect evaluation unit and a business card updating unit, and may acquire effect feedback information after the mental intervention unit 130 continuously intervenes the user for a certain period of time based on the target intervention scheme. The effect feedback information here may be based on the update of the scale information part in the user's personal scale evaluation information, for example, after a period of continuous intervention, the module to be intervened of the user may be evaluated for questionnaire to obtain new questionnaire information, and the new questionnaire information of the module to be intervened is compared with the last questionnaire information to evaluate the improvement effect of the user under intervention of the target intervention scheme.
If the preset effect is obvious (namely the intervention effect reaches the standard), and the completion degree of the target intervention scheme (determined by the completion degree information of the periodic task) reaches the standard, the effect of the scheme is obvious, and the scheme is worthy of popularization. Therefore, the preset name card library can be enriched, and the reference intervention schemes are derived from actual user cases, so that the intervention effect can be relatively stably exerted through actual inspection, and the method is favorable for giving timely psychological intervention to depressed people and recovering depressed patients.
To sum up, the embodiment of the present application provides a mental health auxiliary intervention system 100, utilize mental health auxiliary intervention system 100, can combine together cognitive behavioral therapy and the intelligent terminal of wide-spread use, utilize intelligent terminal as the carrier of cognitive behavioral therapy, not only be favorable to popularizing the correct understanding of depression to wider crowd, correct people to the prejudice of depression, still because convenience, confidentiality etc. of this kind of mode, can protect the privacy of depression crowd well, eliminate the conflict of depression crowd to mental intervention better, and, can make the user discover the depression mood in time, also can give the timely intervention of user, thereby improve the proportion of the people who get timely intervention among the depression crowd by a wide margin. The target business card is determined by matching the personal scale evaluation information of the user with the reference scale evaluation information of the business cards in the preset business card library, a corresponding reference intervention scheme (namely a target intervention scheme) is further determined, the mental health auxiliary intervention system 100 is utilized to decompose the target intervention scheme into a plurality of staged tasks (course learning, post-session exercise, relaxation projects and practice activities), and the staged tasks are pushed to the user in stages, so that effective intervention on the user is facilitated.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A system for assisted mental health intervention, comprising:
the system comprises an information acquisition unit, a personal scale evaluation information acquisition unit and a personal information processing unit, wherein the personal scale evaluation information acquisition unit is used for acquiring personal scale evaluation information of a user, the personal scale evaluation information comprises a scale information part and a personal information part, the scale information part comprises at least one of depression self-evaluation questionnaire information, anxiety self-evaluation questionnaire information, sleep self-evaluation questionnaire information, arhat function impairment self-evaluation questionnaire information, somatic symptom self-evaluation questionnaire information, psycho-elasticity self-evaluation questionnaire information and depression thinking mode questionnaire information, and the personal information part comprises personal information and incentive information of the user;
the scheme recommendation unit is used for matching the personal scale evaluation information with reference scale evaluation information of business cards in a preset business card library to determine a target business card and taking a reference intervention scheme corresponding to the target business card as a target intervention scheme of the user, wherein each business card in the preset business card library has corresponding reference scale evaluation information and reference intervention scheme, and the completion degree and the intervention effect of each reference intervention scheme reach the standards;
and the psychological intervention unit is used for decomposing the target intervention scheme into a plurality of stage tasks, pushing the stage tasks to the user in stages and acquiring the completion degree information of the user on the stage tasks, wherein the stage tasks comprise course learning, post-session exercise, relaxation projects and practical activities.
2. The mental health auxiliary intervention system of claim 1, wherein if the historical scale evaluation information of the user does not exist in the mental health auxiliary intervention system, the plan recommendation unit is further configured to:
evaluating incentive information in information according to the personal scale, and screening the business cards in the preset business card library to obtain a primary selection business card set with mutually matched incentive information, wherein the incentive information comprises one or more types of family problems, emotional problems, working problems and emergencies;
determining a module to be intervened with abnormal scale scores according to the scale information part in the personal scale evaluation information, wherein the abnormal scale scores of the module to be intervened indicate that the user has a fault in the module and needs to intervene;
matching the scale scores of the modules to be intervened with the scale scores of the corresponding modules of the business cards in the primary selection business card set to obtain a first matching degree, and determining a plurality of business cards to be selected, wherein the first matching degree reaches a set matching degree;
determining a difference value between the business card to be selected with the highest first matching degree and the business card to be selected with the second highest first matching degree;
if the difference value is smaller than a first set value and the number of the business cards to be selected is larger than a second set value, matching the personal information in the personal scale evaluation information with the personal information of the reference scale evaluation information in each business card to be selected to obtain a second matching degree, and determining the business card to be selected with the highest second matching degree as the target business card;
and if the difference value is not less than a first set value or the number of the business cards to be selected is not more than a second set value, determining the business card to be selected with the highest first matching degree as the target business card.
3. The mental health assisted intervention system of claim 2, wherein the program recommendation unit is further configured to:
the first matching degree is calculated in the following way:
wherein, P1Representing a first degree of match; n is a radical ofY1A score vector representing a module to be intervened by the user; n is a radical ofM1A score vector representing a corresponding module of the business card whose score difference is within a set range; n represents the number of the evaluation questions of the questionnaire of the module to be intervened and also represents the dimension of the fraction vector; fmaxMaximum option score representing the questions evaluated in the questionnaire of the module to be intervened, FminAnd the minimum option score of the evaluation questions in the questionnaire of the module to be intervened is represented, and the scores of all the evaluation questions in the questionnaire of the module to be intervened are the same.
4. The mental health assisted intervention system of claim 2, wherein the program recommendation unit is further configured to:
matching the sex, age and occupation of the personal information in the personal scale evaluating information with the personal information of the business card to obtain a second matching degree, and specifically adopting the following method:
P2＝(w1G+w2W+w3A)*100％，
wherein, P2Representing a second degree of match; w is a1+w2+w31, respectively representing corresponding weight values; g represents a gender matching score, the different values of the gender are 0, and the same value of the gender is 1; w represents the occupation matching score, the different values of the occupation are 0, and the same value of the occupation is 1; a represents the age matching score, the value is 0-1, and the value is determined in the following mode:
Amax＝max(AY，AM)，
wherein, AYAge in personal information representing a user; a. theMRepresenting the age in the personal information of the name card to be selected; a. themaxIs represented by AYAnd AMThe larger of them.
5. The mental health assisted intervention system of claim 2, wherein the program recommendation unit is further configured to:
determining a set matching degree keeping a constant matching degree difference with the highest first matching degree;
and determining a plurality of business cards to be selected, wherein the first matching degree reaches the set matching degree.
6. The mental health auxiliary intervention system of claim 1, wherein if historical scale evaluation information of the user exists in the mental health auxiliary intervention system, the scale information part in the individual scale evaluation information further includes scale change information, and the plan recommendation unit is further configured to:
determining a module to be intervened according to a scale information part in the personal scale evaluation information, wherein the module to be intervened represents that the scale score corresponding to the module of the user is abnormal in the past or is abnormal at present and needs to be intervened;
matching the scale score of the module to be intervened with the scale score of the corresponding module of the business card to obtain a third matching degree aiming at each business card in the preset business card library, and matching the scale change information of the module to be intervened with the scale change information of the corresponding module of the business card to obtain a fourth matching degree;
determining the comprehensive matching degree corresponding to the business card according to the third matching degree and the fourth matching degree of the same business card;
and determining the business card with the highest comprehensive matching degree as the target business card.
7. The mental health assisted intervention system of claim 6, wherein the program recommendation unit is further configured to:
the third matching degree is calculated in the following way:
wherein, P3Representing a third degree of matching; n is a radical ofY3A score vector representing a module to be intervened by the user; n is a radical ofM3A score vector representing a corresponding module of the business card; n represents the number of the evaluation questions of the questionnaire of the module to be intervened and also represents the dimension of the fraction vector; fmaxMaximum option score representing the questions evaluated in the questionnaire of the module to be intervened, FminAnd the minimum option score of the evaluation questions in the questionnaire of the module to be intervened is represented, and the scores of all the evaluation questions in the questionnaire of the module to be intervened are the same.
8. The system according to claim 6, wherein the scale variation information is an N-dimensional vector, and the dimension N is consistent with the number N of questions evaluated on the corresponding scale, and the plan recommendation unit is further configured to:
calculating the scale change information N of the module to be intervened1The scale change information N of the corresponding module of the name card2The difference vector N' therebetween;
calculating the modular length of the difference vector N';
and calculating the fourth matching degree according to a preset conversion relation and the model length.
9. The mental health assisted intervention system of claim 8, wherein the program recommendation unit is further configured to:
the fourth matching degree is calculated in the following manner:
N′＝N1-N2，
wherein, P4Represents a fourth degree of matching; n is a radical of1The scale change information of the module to be intervened is represented; n is a radical of2Table change information indicating a corresponding module of the business card; n' represents the gauge change information N of the module to be intervened1The scale change information N of the corresponding module of the name card2A difference vector between; n represents the number of the evaluation questions of the questionnaire of the module to be intervened and also represents the dimension of the score vector; fmaxMaximum option score representing the questions evaluated in the questionnaire of the module to be intervened, FminAnd the minimum option score of the evaluation questions in the questionnaire of the module to be intervened is represented, and the scores of all the evaluation questions in the questionnaire of the module to be intervened are the same.
10. The mental health assisted intervention system of claim 6, wherein the program recommendation unit is further configured to:
judging whether the third matching degree and the fourth matching degree of the same business card respectively reach corresponding set values;
if the third matching degree and the fourth matching degree of the same business card reach corresponding set values, calculating the comprehensive matching degree by adopting the following formula:
P＝aP3+bP4，
wherein P represents the overall matching degree, P3And P4Represents the third matching degree and the fourth matching degree, respectively, and a + b is 1;
if the third matching degree of the same business card does not reach the corresponding set value or the fourth matching degree does not reach the corresponding set value, the comprehensive matching degree is calculated by adopting the following formula:
P＝c*(aP3+bP4)，
wherein c < 1.
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