CN113066554A - BCT-based chronic disease self-management method and device - Google Patents
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Abstract
The invention discloses a method and a device for chronic disease self-management based on BCT, wherein the method comprises the following steps: the method comprises the steps that a management terminal receives recording information which is sent by a doctor terminal and contains one or more self-management ability dimensions between a doctor and a chronic patient, and determines multiple BCT types contained in the recording information by carrying out identification processing on the recording information; the management terminal determines the weight of the influence effect of each BCT type on the chronic patient self-management dimensionality by utilizing a pre-stored BCT database; the management terminal sequences the plurality of BCT types according to the weight of the influence effect of each BCT type on the chronic patient self-management dimensionality to obtain the recommendation management information of the chronic patient, and sends the recommendation management information to the chronic patient terminal so that the chronic patient can carry out self-management according to the recommendation management information.
Description
Technical Field
The invention relates to the technical field of chronic disease management, in particular to a chronic disease self-management method and device based on BCT.
Background
In the management consensus of chronic metabolic diseases such as diabetes, hypertension, obesity and the like, the effect of drugs is relatively weak, and the effort of implementing self-management support by multidisciplinary team members (physicians, nursing staff, dieticians, athletes, psychologists, online managers and the like) to improve the multidimensional (diet, exercise, monitoring, drug, stress management and the like) self-management capability of patients is considered as an important measure for the long-term effective management and control of the chronic diseases. The essence of improving self-management ability is to implement behavioral modification interventions, and for patients with differentiated baseline characteristics (age, sex, education, etc.), different stages of the disease (presence or absence of complications or complications of varying severity), and different self-management abilities, there is great difficulty in analyzing whether the multiple lines implementing interventions are effective in intervention theory. The reason is that a certain behavior intervention theory includes a plurality of different intervention mechanisms (like reward and punishment, motivation, demonstration, feedback and other intervention mechanisms), and a specific and more detailed technology classification, namely a behavior intervention technology (BCT), exists under different intervention mechanisms. BCT is the smallest valuable active ingredient that cannot be broken down further in different theories. Currently, BCT is widely used in the field of behavioral interventions such as physical activity and healthy diet, smoking, excessive drinking, and condom use, the first edition of BCT taxonomy (BCTTv 12013) was released in 2013, with a total of 16 classes and 93 BCTs incorporated therein. Deconstructing and analyzing behavioral modification interventions in management of chronic diseases such as diabetes, a combination of multiple different behavioral intervention techniques (BCTs), helps to explain the individualized differences that arise in patient behavioral improvement. Therefore, it is necessary to determine the weight of the impact of different BCTs on the management effect in multiple intervention methods and whether the impact of the same BCT on different patients is different, so that effective BCT can be accurately managed in self-management support of patients with chronic diseases such as diabetes and the like, and the cost benefit of management can be improved.
The Internet and diabetes combined care mode of a certain hospital is a multidisciplinary team type diabetes self-management support mode which is integrated with the Internet technology. By the end of 2019, the model has managed 7000 people in the Beijing 17 family center. Early work showed that significant improvement in self-management capacity and metabolic indicators could be achieved by online + offline diabetes self-management support, which is an independent predictor of improvement in patient HbA1 c.
At present, no chronic disease self-management support system which analyzes effective behavior intervention technology based on management effect and then intelligently recommends according to practical conditions exists at home and abroad.
In the application of BCT to diabetes and other chronic diseases management, the improvement of self-management ability and metabolic indexes cannot be taken as a result, and the weights and the effectiveness of different BCTs based on the characteristics of patients, the characteristics of diseases and the self-management ability dimension are determined; for a specific disease, a specific patient and a self-management ability dimension which is expected to be supported, a BCT database which is updated regularly based on data correction cannot be established to provide quantitative reference for a subsequent optimization guidance scheme.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a device for chronic disease self-management based on BCT.
According to the embodiment of the invention, the method for chronic disease self-management based on BCT comprises the following steps:
the method comprises the steps that a management terminal receives recording information which is sent by a doctor terminal and contains one or more self-management ability dimensions between a doctor and a chronic patient, and determines multiple BCT types contained in the recording information by carrying out identification processing on the recording information;
the management terminal determines the weight of the influence effect of each BCT type on the chronic patient self-management dimensionality by utilizing a pre-stored BCT database;
and the management terminal sequences the plurality of BCT types according to the weight of the effect of each BCT type on the self-management dimensionality of the chronic disease patient to obtain the recommended management information of the chronic disease patient and sends the recommended management information to the chronic disease patient terminal so that the chronic disease patient can carry out self-management according to the recommended management information.
The device for chronic disease self-management based on BCT provided by the embodiment of the invention comprises:
the receiving and identifying module is used for receiving recording information which is sent by a doctor terminal and contains one or more self-management capability dimensionalities between a doctor and a chronic patient, identifying the recording information and determining multiple BCT types contained in the recording information;
the determining module is used for determining the weight of the influence effect of each BCT type on the chronic patient self-management dimensionality by utilizing a pre-stored BCT database;
and the management module is used for sequencing the plurality of BCT types according to the weight of the influence effect of each BCT type on the chronic patient self-management dimensionality to obtain the recommendation management information of the chronic patient and sending the recommendation management information to the chronic patient terminal so that the chronic patient can self-manage according to the recommendation management information.
According to the scheme provided by the embodiment of the invention, a BCT management model based on BCT classification patient characteristics and self-management support categories is constructed based on BCT types and actual management effects (self-management capability improvement and metabolic index improvement) adopted by patient self-management support developed in earlier-stage work, and the applicable conditions and weights of each BCT in management are updated in an iterative manner through data accumulated continuously in practice, so that the effect of guiding and optimizing self-management support of chronic diseases is continuously realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention without limitation. In the drawings:
FIG. 1 is a flow chart of a method for BCT-based chronic disease self-management according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a BCT-based apparatus for self-management of chronic diseases according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a system for evaluating, guiding and optimizing chronic disease self-management support based on behavior intervention technology provided by an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, and it should be understood that the preferred embodiments described below are only for the purpose of illustrating and explaining the present invention, and are not to be construed as limiting the present invention.
Fig. 1 is a flowchart of a method for BCT-based chronic disease self-management according to an embodiment of the present invention, as shown in fig. 1, including:
step S101: the method comprises the steps that a management terminal receives recording information which is sent by a doctor terminal and contains one or more self-management capability dimensionalities between a doctor and a chronic patient, and determines multiple BCT types contained in the recording information by carrying out identification processing on the recording information;
step S102: the management terminal determines the weight (BCT weight) of the influence effect of each BCT type on the chronic patient self-management dimensionality by utilizing a pre-stored BCT database;
step S103: the management terminal sequences the plurality of BCT types according to the weight of the influence effect of each BCT type on the chronic patient self-management dimensionality to obtain the recommendation management information of the chronic patient, and sends the recommendation management information to the chronic patient terminal so that the chronic patient can carry out self-management according to the recommendation management information.
It should be noted that, in the present application, the management terminal may receive the recorded information sent by the doctor terminal and containing the dimension or dimensions of self-management ability between the doctor and the chronic patient, or may receive the text information sent by the doctor terminal and containing the dimension or dimensions of self-management ability between the doctor and the chronic patient. When the management terminal receives text information sent by the doctor terminal, extracting keywords in the text information so as to determine multiple BCT types contained in the text information.
The method for receiving the recording information which is sent by the doctor terminal and contains one or more self-management ability dimensions between the doctor and the chronic disease patient by the management terminal comprises the following steps: wireless communication is established between the doctor terminal and the chronic patient terminal; after the wireless communication is established, the doctor terminal receives one or more self-management ability dimensions selected by the doctor from the self-management ability dimension table; during the conversation between the doctor and the chronic patient about the one or more self-management ability dimensions, the doctor terminal performs recording processing through the conversation to obtain recording information containing the one or more self-management ability dimensions between the doctor and the chronic patient; and the doctor terminal sends the recording information to a management terminal.
Wherein the self-management capability dimension comprises: rational diet, scientific activity, self-monitoring, problem solving, risk prevention, rational medication, and psychological adjustment. The BCT database includes BCT types, a chronic disease self-management dimension corresponding to each BCT type, and BCT weights.
Wherein the recommendation management information includes a plurality of BCT types ordered from high to low according to BCT weight.
The embodiment of the invention also comprises an operation step of updating the BCT database; it includes: the management terminal acquires the current physical examination result of the chronic patient; the management terminal judges whether each index of the chronic disease patient is qualitatively or quantitatively changed or not according to the current precursor detection result; when each index of the chronic disease patient is judged to be qualitatively or quantitatively changed, the management terminal updates the chronic disease self-management dimensionality and BCT weight corresponding to multiple BCT types relevant to the current situation of the chronic disease patient according to the current physical examination result and the recording information. That is, when the management terminal judges that each index of the chronic patient has qualitative or quantitative change, the management terminal determines a certain index or several indexes with improved qualitative or quantitative (approaching to normal index) in each index, and then determines the BCT type related to the certain index or several indexes so as to increase the BCT weight of the self-management dimension influence effect corresponding to the BCT type related to the certain index or several indexes; and simultaneously determining one or more indexes with qualitative or quantitative deterioration (far from normal indexes) in the indexes, and then determining the BCT type related to the one or more indexes so as to reduce the BCT weight of the self-management dimension influence effect corresponding to the BCT type related to the one or more indexes.
Fig. 2 is a schematic diagram of an apparatus for BCT-based chronic disease self-management according to an embodiment of the present invention, as shown in fig. 2, including: the receiving and identifying module 201 is used for receiving recording information which is sent by a doctor terminal and contains one or more self-management capability dimensions between a doctor and a chronic patient, identifying the recording information and determining multiple BCT types contained in the recording information; a determining module 202, configured to determine, by using a pre-stored BCT database, a weight of an effect of each BCT type on the self-management dimensionality of the chronic patient; the management module 203 is configured to sort the multiple BCT types according to the weight of the effect of each BCT type on the self-management dimensionality of the chronic patient, obtain recommended management information of the chronic patient, and send the recommended management information to a chronic patient terminal, so that the chronic patient performs self-management according to the recommended management information.
The embodiment of the invention also comprises the following steps: the doctor terminal is used for establishing wireless communication with the chronic patient terminal, after the wireless communication is established, receiving one or more self-management ability dimensions selected from the self-management ability dimension table by a doctor, and during conversation between the doctor and the chronic patient about the one or more self-management ability dimensions, the doctor terminal performs recording processing through the conversation to obtain recording information containing one or more self-management ability dimensions between the doctor and the chronic patient, and the recording information is sent to the management terminal.
Wherein the self-management capability dimension comprises: rational diet, scientific activity, self-monitoring, problem solving, risk prevention, rational medication, and psychological adjustment. The BCT database includes BCT types, chronic disease self-management dimensions corresponding to each BCT type, and BCT weights, as shown in table 1.
Table 1: BCT database
Fig. 3 is a schematic diagram of a system for evaluating, guiding and optimizing chronic disease self-management support based on behavioral intervention technology according to an embodiment of the present invention, and as shown in fig. 3, the system mainly comprises three parts, namely an analysis and calculation part, a storage part and a decision support part, which are related to each other:
1. an analysis operation part:
the development of self-management support will be determined by the particular patient, the disease state, and the self-management capability in question. The analysis and operation part of the system solves the problem of 'whether the BCT in behavior change intervention (namely self-management support of chronic diseases and combination of a plurality of different BCTs) clinically improves the management effect' from the viewpoint of 'whether the system has statistical significance'. The part can periodically and periodically carry out qualitative and quantitative judgment on management effects (action results and index results) in management practice in a period of time, mark BCT types and exposure of each BCT used in the management in the period of time, further divide the BCT types according to self-management support features (patient features, disease features and self-management aspects of intervention implementation) in practice, and carry out statistical analysis such as multi-factor analysis and the like to evaluate the influence of the BCT on the management effects under different conditions.
The behavior result is evaluated by taking a diabetes self-management behavior scale 6(SDSCA-6) as a semi-quantitative evaluation method, multiple dimensions of self-management ability can be subdivided, and the judgment standard that 7 scores are increased by more than 1 before and after management is improved; index results include, but are not limited to, improvement in body mass index, glycated hemoglobin, blood lipids, blood pressure, and the like.
Actually using the categories of BCT and the exposure amount (times) of each category, the presentation form is that in a certain dimension, for example, diet management, 93 BCT, 15 times of BCT1 exposure times, 13 times of BCT2 exposure times … … and the like, multi-factor analysis is respectively carried out with the behavior result and index result improvement of the patient receiving corresponding BCT in the stage, and then the OR values of different BCT aiming at the management effects are obtained.
2. A storage section:
a BCT is recorded according to multiple conditions under different conditions, namely qualitative (including positive improvement, negative deterioration and uncertain) and quantitative (marked by weight when the BCT is clinically meaningful) changes, and the storage part of the system is a subsystem which records the applicable conditions of the BCT one by one and receives continuously input information from the analysis and operation part for updating.
3. The decision support part:
the decision support part of the system serves the chronic disease management personnel using the system, so that in the process of self-management support of patients in a specific clinical practice environment, BCTs related to the current situation can be retrieved from the storage part according to the faced clinical situation, ranked according to the weight of the influence and output to be pushed to the chronic disease management personnel for application in management (if the BCTs have improvement value on the current situation, ranked from high to low according to the weight) or evasion application (if the BCTs have negative deterioration influence on the current situation).
According to the invention, a chronic disease self-management capability database based on BCT is established, and according to the target BCT applied in the self-management support practice process, the related self-management capability and the result correlation of metabolic index improvement, a statistical method is utilized for analysis, and the database is fed back and continuously corrected to provide a reference basis for optimization guidance in the subsequent self-management support implementation; according to the specific situation of self-management support in practical practice, BCTs with clinical significance for the current situation are searched from a BCT database, weight arrangement is carried out according to different target BCTs, and BCT sequencing recommendation is carried out on chronic disease managers.
The BCT-based chronic disease self-management capability database includes BCT types, chronic disease self-management capability dimensions (disease cognition, healthy diet, rational exercise, self-monitoring, psychological adaptation, problem solving, risk prevention, rational medication, etc.), each BCT (for example, specific BCT names such as behavior display, commitment, biofeedback, etc.) defined according to BCT taxonomy (93 pieces in 16 categories, see the following annex), and after periodic multifactor analysis under different chronic disease self-management capability dimensions, odds rat io and statistical value p for the dimension. For example, the behavior shows this BCT, the OR values applied in the above dimensions being OR1, OR2, OR3, -, OR6, -, OR8, respectively. And so on.
The method comprises the following steps:
1. from the previous work, the administrator has performed multifactorial analysis of the exposure of BCT in the multidimensional self-management ability support work performed by the patient, the self-management ability estimated by the patient for half a year and the glycated hemoglobin level, and sets a basic weight value (OR value) of each BCT in different management dimensions according to the result, if the data volume is small, and replaces it with an average, fixed weight value;
2. according to the weight (an OR value with statistical significance for a certain self-management ability dimension) of each newly updated BCT in different self-management ability dimensions, the system recommends the BCT in diet aiming at the current management (such as diet) performed by an administrator, wherein the sequence is the descending order of the OR value;
3. determining the category of BCT actually used by managers and the exposure amount (times) of each category in a system according to newly accumulated self-management support work of patients, carrying out multi-factor analysis on the BCT exposure degree, the periodically reevaluated self-management capacity of the patients and the influence of glycosylated hemoglobin improvement, evaluating effectiveness and effectiveness, and determining OR updating the OR value (weight) of the BCT under different self-management capacities;
4. repeat 2-3 cycles.
The technical solution of the present invention will be described below with specific examples
In specific self-management support, the following is a session between the disease manager and the type 2 diabetic (disease manager a, patient B):
a: "this time the doctor suggests some advice about whether you can increase physical activity, not know how do you look? "
B: ' Thanks, I do not do much physical activity at ordinary times, and doctor puts forward that some medicine is added, I worry, so when asking him whether there are some other methods, he says that physical activity helps to control my diabetes, I want this perhaps as a method, and want to try. "
A: "I understand that it is not helpful to look at how much activity is increased when listening to you at ordinary times, but now consider increasing some activity. "
B: "is. "
A: "I see your recently evaluated exercise self-performance, good news that your confidence in exercise is high-higher than most patients, a very good start! "
B: ' Ni, is a prayer wheel, which can be the same as before and has no movement at ordinary times. "
A: "I'm say, if we discuss increasing activities from now on, this increased activity amount is held with a great chance based on your confidence in the movement, which is a good start already. "
B: "how should I increase the amount of activity? "
A: "based on your actual activity, we can consider a goal of setting an activity level in units of each week, and it is not difficult to see that the first two weeks reach this goal, how do you see? "
B: "may. "
A: "good. Generally speaking, the recommended activity should be around 150 minutes per week, on average 20-30 minutes per day, whereas the reality of your current activity is probably less than 60 minutes per week, rather than first being 70 minutes per week, i.e. on average 10 minutes per day, is you reasonable to see this goal? "
B: "10 minutes per day, from which the bar is made, should still be possible. "
A: "that is, we set this first, which is a form, i write 10 minutes per day for 70 minutes per week, we send a reminder to you, and after about two weeks, we see if there are some difficulties in the actual execution process, and analyze how these difficulties can be resolved. "
B: "good, do i need to sign here? "
A: "yes, this form, you one, i.e. a commitment to what we agreed on for the target, if you sign, means that we, by careful consideration, at least, decide to increase a certain amount of activity from this target at ordinary times. You are relieved of what is not the responsibility but just a record of our conversation. "
B: "good, i feel i can do so every week for 70 minutes, which is heard alone. Sign here is a bar? "
A: "is. I just mentioned that we would send you a reminder of the movement each day, which helps you schedule an event, do not know what time generally you can do this 10-min-per-day event? "
B: the time for eating at 7-8 o' clock is wide at the night. "
A: "good, we send you a reminder around 7 points. About the way of the activity? What tendency do you have? "
B: "do i know no o, i want i to walk around, what can do? "
A: "fast walking" is an option, if it is easy to start in this form, it is relatively easy to insist on. "
B: "do you mean that there can be other ways? "
A: "we say fast walking first, i want 10 minutes fast walking and you should be able to walk nearly 1 km or so. "
B: "this i don't have the concept. "
A: "there are several ways to monitor the activity amount, one is to find a fixed distance of 1 km in a place where you can walk fast at ordinary times, such as near home, this is estimated to be going on with a map, and then walk the distance every day. How do you see this method? "
B: "also, but if not fixed for every day? "
A: "then we can measure the number of steps by walking 10 minutes at a time, see how many steps you can walk in 10 minutes, and then it is also possible to measure the number of steps per day. "
B: "how do I measure my steps, but how do I measure my steps? "
A: "this is a pedometer by which you can conveniently record and measure your number of steps"
B: "good, this is still good. You say there are other activity patterns, what is there? "
A: "how do i think we can say after two weeks we first go fast by trying to insist on it for 10 minutes per day, do you see this? "
B: "good. I want i can do this. "
A: "good, we remind you at 7 a day, also ask you to make a record, we discuss 2 weeks later. "
The invention, in processing this session (which is essentially a behavioral change intervention presented with self-management support with respect to improving type 2 diabetes), proceeds with the following steps:
1. structuring the dialog content:
1.1, extracting patient characteristics: the self-efficacy of the patient diseases such as the age, sex, diabetes course, education background, occupation, scale evaluation, and the like of the patient are called from the management system;
1.2, analyzing disease characteristics: whether the specific diabetic complication and the corresponding complication stage exist in the patient, whether other diseases and other diabetic complications exist in the patient, the current medication condition, the current biochemical index, the pancreatic island function and the like are called from a management system;
1.3, selecting self-management ability dimension: in the aspect of self-management ability related to the session, one or more of diabetes self-management dimensions such as reasonable diet, scientific activity, self-monitoring, problem solving, danger prevention, reasonable medication, psychological adjustment and the like are selected, and the session mainly focuses on the aspect of 'scientific activity' of the patient.
1.4, analyzing BCT types contained in the conversation content: according to the first version of BCT taxonomy (16 categories, 93 categories in total), the BCT categories included in this session are five items: 1.1 setting of behavioral goals (setting activity per week with 70 minutes as initial goal), 1.4 behavioral plans (10 minutes per day, after a night, in specific form of a fast walk), 1.9 commitments (giving patients approval and commitment of goals and form of activity as a "commitment book" in a duplicate agreement), 2.3 self-monitoring of behavior (self-monitoring method with distance or number of steps as activity), 4.1 instructions on how to complete behavior (instructions and demonstrations).
2. BCT evaluation is performed on the information by the analysis and calculation part:
2.1, extraction result: after the conversation occurs, the disease self-management ability of the patient and the metabolic index results such as glycosylated hemoglobin and the like are evaluated on a regular scale;
2.2, based on the results, analyzing the clinical significance of BCT in specific cases: including the session, a plurality of sessions of 'scientific activity' propose BCT (five BCT in the session of 1.1, 1.4, 1.9, 2.3 and 4.1) in each session, and analyze the corresponding results of the self-management ability of the movement and the change condition of the glycated hemoglobin evaluated by the scale. The conditions and weights under which these BCTs are applicable are determined by a multi-factorial analysis based on qualitative (improvement/no improvement/deterioration) or quantitative (quantitative assessment of improvement or deterioration of the results) changes in the outcome within these ranges, combined with the BCT exposure levels during this stage of self-management support, either throughout the session or based on patient characteristics, disease characteristics, or different subgroups of outcomes.
3. Updating, by the storage section, the BCT applicable conditions: and writing the regular analysis result into a database, and updating the application condition and the weight of the BCT.
4. In the next dialog, the BCT recommendation is made by the decision support part: for example, in self-management support for "scientific activities", the disease management personnel can obtain the BCTs and their applicable conditions (including improvement, worsening and unchanged status) related to them in the database, which can have clinical significance on the influence, and further can screen the BCTs for their applicable conditions for features that meet or are close to the current patient status for the disease management personnel to select for use. And the dialog generated in the new stage and the covered BCT can be iterated continuously, and the BCT database is updated through the steps, so that the BCT database is more perfect and accurate.
In summary, based on the dimension of the patient characteristics, the disease characteristics and the self-management ability, and the change of the outcome indicators such as the self-management ability and the metabolic indicators after the management is received for a period of time, the BCT involved in the behavior change intervention performed by the manager is identified, and the effective analysis method is further evaluated. In the prior art, the evaluation of whether BCT is effective is only based on the change of metabolic indicators, the change of the self-management capability of BCT direct intervention is ignored, and meanwhile, the BCT is not included in patients and disease characteristics for comprehensive judgment. The scheme adopts multiple effective evaluation criteria, incorporates multiple evaluation factors, comprehensively judges indexes of direct intervention (self-management capability) and indirect intervention (metabolic index) of BCT, identifies clinically significant BCT, updates the weight of the BCT and maintains the BCT in a BCT database; secondly, in the clinical practice of implementing self-management support, according to the patient, disease characteristics and self-management ability dimension, the BCT which has clinical significance under the current condition is searched in the BCT database, recommended and sorted according to the weight, and recommended to the chronic disease management personnel. The prior art does not carry out related recommendation of methodology according to evidence-based effectiveness, and does not carry out detailed recommendation by layering of patients, diseases, different self-management abilities and the like.
According to the scheme provided by the embodiment of the invention, from the perspective of a patient, a targeted clinically effective BCT can be arranged according to the individual characteristics of the patient and the specific self-management ability dimension for implementing intervention, and compared with the experience of management personnel, the application of the evidence-based effective BCT has higher probability of improving the self-management ability of the whole patient, thereby improving the disease control; from the perspective of chronic disease management personnel, clinically meaningful BCT components in chronic disease management are analyzed according to an effective and individualized thought, and potential effective BCT is called according to the actual condition of a patient for the chronic disease management personnel to perform reference and continuously optimize in practice, so that the variance of management quality of the management personnel in different years can be greatly reduced, the result of behavior intervention is improved, the time cost of management is reduced, and the cost-benefit ratio of behavior change intervention is improved.
Although the present invention has been described in detail hereinabove, the present invention is not limited thereto, and various modifications can be made by those skilled in the art in light of the principle of the present invention. Thus, modifications made in accordance with the principles of the present invention should be understood to fall within the scope of the present invention.
Claims (10)
1. A method of BCT-based chronic disease self-management, comprising:
the method comprises the steps that a management terminal receives recording information which is sent by a doctor terminal and contains one or more self-management ability dimensions between a doctor and a chronic patient, and determines multiple BCT types contained in the recording information by carrying out identification processing on the recording information;
the management terminal determines the weight of the influence effect of each BCT type on the chronic patient self-management dimensionality by utilizing a pre-stored BCT database;
the management terminal sequences the plurality of BCT types according to the weight of the influence effect of each BCT type on the self-management dimensionality of the chronic patient to obtain the recommendation management information of the chronic patient, and sends the recommendation management information to the chronic patient terminal so that the chronic patient can carry out self-management according to the recommendation management information;
wherein the BCT refers to a behavioral intervention technology.
2. The method of claim 1, wherein the receiving, by the management terminal, the recorded information sent by the doctor terminal and including information about one or more self-management ability dimensions between the doctor and the chronic patient comprises:
wireless communication is established between the doctor terminal and the chronic patient terminal;
after the wireless communication is established, the doctor terminal receives one or more self-management ability dimensions selected by a doctor from a self-management ability dimension table;
during the conversation between the doctor and the chronic patient about the one or more self-management ability dimensions, the doctor terminal performs recording processing through the conversation to obtain recording information containing the one or more self-management ability dimensions between the doctor and the chronic patient;
and the doctor terminal sends the recording information to a management terminal.
3. The method of claim 2, wherein the self-management capability dimension comprises: rational diet, scientific activity, self-monitoring, problem solving, risk prevention, rational medication, and psychological adjustment.
4. The method of claim 1, wherein the BCT database comprises BCT types, a chronic disease self-management dimension corresponding to each BCT type, and BCT weights.
5. The method of claim 1, wherein the recommendation management information comprises a plurality of BCT types ordered from high to low according to BCT weight.
6. The method according to claim 1, further comprising the operational step of updating said BCT database; it includes:
the management terminal acquires the current physical examination result of the chronic patient;
the management terminal judges whether each index of the chronic patient is qualitatively or quantitatively changed or not according to the current physical examination result;
when each index of the chronic disease patient is judged to be qualitatively or quantitatively changed, the management terminal updates the chronic disease self-management dimensionality and BCT weight corresponding to multiple BCT types relevant to the current situation of the chronic disease patient according to the current physical examination result and the recording information.
7. An apparatus for BCT-based chronic disease self-management, comprising:
the receiving and identifying module is used for receiving recording information which is sent by a doctor terminal and contains one or more self-management capability dimensions between a doctor and a chronic patient, identifying the recording information and determining various BCT types contained in the recording information;
the determining module is used for determining the weight of the influence effect of each BCT type on the chronic patient self-management dimensionality by utilizing a pre-stored BCT database;
the management module is used for sequencing the plurality of BCT types according to the weight of the influence effect of each BCT type on the self-management dimensionality of the chronic patient to obtain the recommendation management information of the chronic patient and sending the recommendation management information to the chronic patient terminal so that the chronic patient can carry out self-management according to the recommendation management information;
wherein the BCT refers to a behavioral intervention technology.
8. The apparatus of claim 7, further comprising:
the doctor terminal is used for establishing wireless communication with the chronic patient terminal, receiving one or more self-management ability dimensions selected from the self-management ability dimension table by a doctor after the wireless communication is established, and during conversation between the doctor and the chronic patient about the one or more self-management ability dimensions, the doctor terminal performs recording processing through the conversation to obtain recording information containing the one or more self-management ability dimensions between the doctor and the chronic patient and sends the recording information to the management terminal.
9. The apparatus of claim 7, wherein the self-management capability dimension comprises: rational diet, scientific activity, self-monitoring, problem solving, risk prevention, rational medication, and psychological adjustment.
10. The apparatus of claim 7, wherein the BCT database comprises BCT types, a chronic disease self-management dimension corresponding to each BCT type, and BCT weights.
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