WO2017154262A1 - Assistance au régime et système de gestion de régime - Google Patents

Assistance au régime et système de gestion de régime Download PDF

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Publication number
WO2017154262A1
WO2017154262A1 PCT/JP2016/081562 JP2016081562W WO2017154262A1 WO 2017154262 A1 WO2017154262 A1 WO 2017154262A1 JP 2016081562 W JP2016081562 W JP 2016081562W WO 2017154262 A1 WO2017154262 A1 WO 2017154262A1
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WIPO (PCT)
Prior art keywords
diet
data
weight
information
dropout
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PCT/JP2016/081562
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English (en)
Japanese (ja)
Inventor
米倉章夫
石川善樹
三澤大太郎
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株式会社Ｃａｍｐｕｓ ｆｏｒ Ｈ
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Publication of WO2017154262A1 publication Critical patent/WO2017154262A1/fr

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets

Definitions

  • the present invention relates to a diet management and diet support system for a person who works on a diet as a target of specific health guidance.
  • Patent Documents 6 to 8 a diet program is formulated based on the person's past diet dropout experience, and health guidance is provided to the health guidance target person based on the biological data received by the biological data receiving means.
  • an invention has been proposed in which a matter is created, it has not been possible to automatically grasp the situation where a diet is about to drop off. Also, even if a message prompting encouragement or resumption is sent to the terminal of a person who is giving up on the diet, there is a possibility that the terminal has not been seen already, and there is almost no meaning.
  • Patent Document 9 since it is too simple to determine that health guidance should be intervened, it has been impossible to grasp the risk of dropping off a diet. In this situation, it is expected that the overweight / obese population will continue to increase, and human resources such as doctors and public health nurses related to obesity countermeasure support are limited. There is a need for efficient intervention management tools.
  • the present invention provides an optimal diet program for those who have been subject to specific health guidance, as well as those who have given up on the way and are about to drop off, By grasping those who are likely to rebound later) from daily activities and displaying such information on terminals such as health insurance associations, public health nurses etc. at an appropriate time and appropriately
  • An object of the present invention is to provide a diet support and diet management system capable of taking additional support measures.
  • a first invention of the present application is a diet management and support system, which includes at least a name, age, sex, height, weight, body composition, lifestyle, target weight, and target weight.
  • the personal information database that records personal information about the weight loss period until and the personal data as basic data, the optimal calorie intake reduction per day, the optimal calorie consumption increase per day, and the optimal diet habits during the weight loss period
  • Target value calculating means for calculating, weight data transmitting means for recording the measured weight as data and transmitting the weight data to the outside through the Internet line, recording data for measuring the amount of daily activity and storing the data through the Internet line
  • Wearable terminal that can be transmitted to the outside, presence / absence data on implementation of the optimal diet habits Data transmitted from at least one of the communication terminals that can record and transmit the data to the outside through the Internet line, and at least one of the weight data transmission means, the wearable terminal, and the communication terminal
  • Data processing means for processing the data, information generated by the data processing means, the optimal calorie intake reduction amount calculated by the target
  • the second invention of the present application is a diet management and support system, which includes at least a name, age, sex, height, weight, body composition, lifestyle, target weight, and A personal information database that records personal information about the weight loss period up to the target weight, and using the personal information as basic data, the optimal daily calorie intake reduction and daily optimal calorie consumption increase during the weight loss period, and the target weight Target value calculation means to calculate the optimal daily calorie intake reduction and daily optimal calorie consumption increase and optimal diet habits in the weight maintenance period after achievement, and record the measured weight as data and through the Internet line
  • Weight data transmission means that can transmit the weight data to the outside, data measured daily activity
  • a wearable terminal capable of recording and transmitting the data to the outside via the Internet line, at least one of communication terminals capable of recording the presence / absence data of the implementation of the optimal diet habits and transmitting the data to the outside via the Internet line;
  • the first invention of the present application it is possible to check daily behavior by a public health nurse or the like for a person who has been subject to specific health guidance in a specific medical examination conducted at each health insurance association. If there is a person whose weight data has not been transmitted for more than a week, it can be judged that there is a high possibility of diet dropout or rebound, and the situation can be directly reported to the person by telephone or email. Can be confirmed. As a result of the interview, if you are actually giving up on a diet, you can assist with resuming the diet program or consulting with the person to correct the diet program.
  • daily actions are also checked during the weight maintenance period after a successful diet (achievement of target weight), and the behavior patterns of those who rebounded are stored in a database, By comparing the behavior pattern of the target person and the behavior pattern of the rebound person and displaying the rebound risk level on the terminal of the health insurance association, the public health nurses and others are able to adjust the risk level so that they will not rebound. Since it is possible to confirm the situation directly to the person by telephone or e-mail in order from the person with the highest urgency, that is, the person with the highest urgency, more efficient support work can be performed with limited personnel.
  • each embodiment of the present invention will be described in detail with reference to FIGS. 1 to 8. However, each embodiment is not intended to limit the scope of the present invention, and the contents described in the claims. Needless to say, the present invention may be appropriately implemented based on the spirit of the invention.
  • Each embodiment will be described as a system that is assumed to be implemented in one health insurance association (hereinafter referred to as a health insurance association) as an example.
  • FIG. 1 is a diagram showing an outline of a system according to the first embodiment.
  • the health insurance association notifies the insured that the health check is being conducted, and the insured receives a health check at a predetermined hospital or health check facility.
  • a person diagnosed with overweight / obesity is recognized as a subject of specific health guidance (hereinafter referred to as a subject) and is notified that a diet program needs to be implemented.
  • the subject who has received the notice will create a necessary diet program in consultation with a doctor or public health nurse at a health insurance association or the like at a later date.
  • the diet program is shown on the screen of the terminal 5 installed in the health insurance association connected to the management system 1, name, age, gender, weight, height, body composition (body fat percentage). Enter basic weight data, lifestyle information (walking, jogging, sports habits such as tennis and golf, etc.), target weight, and information on the weight loss period to achieve the target weight (hereinafter referred to as personal information) Created.
  • the target body weight does not need to be a standard body weight based on a so-called BMI standard body weight calculation formula, and is appropriately set within a reasonable range according to the obesity status of each individual subject.
  • the management system 1 in the present embodiment is built in a management server of an external operating company connected to the Internet, but may be built in a server installed in each health insurance association.
  • the personal information is data entered by a person in charge such as a public health nurse while confirming and consulting with a diet target person.
  • Each data input from the terminal 5 is stored in the personal information database 10 in the management system 1 through the Internet line.
  • the current specific health guidance period is generally set to a maximum of 6 months, and the weight loss period to achieve the target weight in this embodiment is based on 6 months. May be shorter than 4 months, 5 months, or in some cases 10 months or 1 year, which is the period until the next year's health checkup.
  • the management system 1 uses the personal information input from the terminal 5 installed in the health insurance association as basic data, and an optimal daily calorie intake reduction target (target value) during the weight loss period and the weight maintenance period. It has a target value calculation means 20 comprising a required algorithm program for calculating an optimal calorie consumption increase target amount (target value) per day, an optimal diet habit, and an optimal weight loss curve, and is recorded in the personal information database 10. Based on the target weight of the subject, the optimal daily calorie intake reduction and optimal daily calorie consumption increase, optimal diet habits, depending on the target weight of the subject and the period until the target weight is reduced. And calculate an optimal weight loss curve. Also, calculate the optimal daily calorie intake reduction target amount (target value), optimal daily calorie consumption increase target amount (target value), and optimal diet habits during the weight maintenance period after reaching the target weight. .
  • the optimal caloric intake reduction target amount is a target value that reduces 200 kcal, for example, compared to before the start of diet in daily eating habits, and the optimal daily calorie consumption increase target amount in daily life is It is a target value that, for example, plus 100 kcal is consumed by exercise or the like compared to before the start of the diet, and the optimal diet habit is an exercise menu such as walking and jogging necessary for consuming 100 kcal.
  • the optimal daily calorie intake reduction target amount and the optimal daily calorie consumption increase target amount per day, and the optimal diet habits are calculated together.
  • the reason is to allow the subject to understand in advance how much change is required in dietary habits, daily exercise habits, etc. not only during the diet period but also after the diet.
  • Each target amount after completion of the diet may be calculated again after reaching the target weight.
  • die completion described in the present specification means that the weight has been reduced to the target weight, and does not mean that the weight has been reduced to the standard weight.
  • the optimal daily calorie intake reduction amount, the optimal daily calorie consumption increase amount, the optimal diet habit, and the optimal weight loss curve calculated by the target value calculating means 20 are displayed on the terminal 5 where the data has been input. Consults with public health nurses and decides on their diet program. If you are not confident in the execution of the displayed program, correct the target weight and the period up to the target weight again and re-enter it until you can calculate and display a feasible and acceptable diet program. Repeat the work. The determined diet program is recorded in the personal information database 10.
  • Each health insurance union provides the subject with a weight scale 2, a smartphone or tablet terminal 3 and a wearable terminal 4 that are used during the period of executing the diet program, in addition to the paper material on which the contents of the determined diet program are printed out.
  • the smart phone or the tablet-type terminal 3 may use a terminal that the target person owns.
  • the weight scale 2 as a weight data transmission means used in this embodiment is a so-called IoT weight scale, stores the measured weight as data, and automatically transmits the measurement data to the management system 1 through the Internet line. To do.
  • weight data transmission means for transmitting daily weight data to the management system 1 includes a weight scale having a short-range communication function and data received from the weight scale to the management system 1 Alternatively, a combination of terminals may be used, or the body weight may be measured by a normal scale, and the measured weight value may be input on the screen of a terminal capable of transmitting data to the management system 1.
  • the wearable terminal 4 is a wrist-worn type wearable terminal that automatically measures the amount of daily activity and automatically transmits the measurement result data to the management system 1 through the Internet line.
  • the amount of activity measured by the wearable terminal 4 is, for example, walking time for one day, jogging time, or the like.
  • the smartphone or tablet terminal 3 is used to input whether or not the dedicated application software for operating this system has been downloaded and the daily diet habits have been implemented by clicking on an icon such as “Yes” or “No”
  • the input result is automatically transmitted to the management system 1 through the Internet line.
  • the daily diet habits are the same as the menu of the optimal diet habits displayed on the terminals of each health insurance association described above. For example, walking 1 hour, jogging 30 minutes, squats 10 times, various dietary restrictions and drinking restrictions Etc.
  • the target person eats daily according to the diet program, performs a predetermined exercise, and measures the weight daily using the weight scale 2. Moreover, it is answered every day whether the diet habit was implemented using the smart phone or the tablet-type terminal 3.
  • the measured weight and answer result are transmitted to the data processing means 25 in the management system 1 together with the activity amount result automatically measured by the wearable terminal 4.
  • the wearable terminal 4 in order to check daily behavior strictly, all of the weight scale 2, the smartphone or tablet terminal 3, and the wearable terminal 4 are used. Or it may be operated in combination of the two. Moreover, since the contents of daily diet habits and some of the activities measured by the wearable terminal 4 are the same as essential items (for example, walking and jogging for a set time), if there is any one data Although it can be managed to some extent, in this embodiment, in order to know that the subject's record error or lie has been answered, or to add additional content that cannot be automatically measured by the wearable terminal, I dare to Use both.
  • the data processing means 25 processes the data sent from the scale 2, the smartphone or tablet terminal 3, and the wearable terminal 4 every day, merges it with the information obtained from the personal information database 10, and associates it with each subject. Data that can be displayed in a list is transmitted to the health insurance association terminal 5.
  • FIG. 2 is an example of a list displayed on the health insurance association terminal 5 after a plurality of subjects start a diet, that is, in the weight loss period.
  • the health insurance association conducts regular health checkups several times a year, and the groups displayed in the list are groups that have received specific health guidance on the same day, the same period, or the same year (the same group) ).
  • the data processing means 25 processes the initial weight data recorded in the personal information database, the weight data sent daily, whether or not a diet habit is performed, and exercise data measured by the wearable terminal, and also based on the latest weight data.
  • the achievement rate up to the target weight is calculated and the diet activity status of each subject is displayed in the format shown in FIG.
  • the set target weight, the actually measured weight, and the achievement rate up to the target weight are displayed, and four items are provided for each person as an optimum diet habit. ⁇ if you answered “No”, ⁇ if you did not implement, ⁇ if the actual measurement result on the wearable terminal is longer than the walking time or jogging time of the target value, ⁇ otherwise An example in which is displayed.
  • the display method may be any method as long as a public health nurse or the like can check the daily behavior of the subject person. For example, for the walking time and jogging time, the actually measured time may be displayed as it is, or when the actually measured value is less than the target value, it may be colored. Further, when the weight data or the like is not continuously received, for example, “No 10 days” is displayed.
  • a public health nurse or the like can check the behavior of each target person from the screen of the terminal 5 every day. For example, when the weight loss has not progressed at all in view of the numerical value of the target achievement rate, If you find a person, you can presume that you are giving up a diet, and you can check the situation directly by phone or email.
  • the two on the left are in the order of responses for walking and jogging, and the results of walking and jogging using wearable devices are shown. Since the exercise status is displayed as ⁇ ⁇ in order, comparing the person's response content with the actual measurement display content of the exercise status on the wearable device, the lie's ⁇ response even though it is not actually jogging It is possible to judge whether or not. People who frequently respond to lies tend to be seen more often by those who are giving up on dieting, so it is possible to determine the possibility of needing additional support from this display result.
  • two on the right side are questions relating to meal contents and the like, and cannot be measured by wearable terminals.
  • the weight scale 2 the smartphone or tablet terminal 3, and the wearable terminal 4 are continuously used in order to maintain the target weight.
  • the daily weight and activity status are displayed on the health insurance association terminal 5 by the data processing means 30 (see FIG. 8, not shown in this embodiment).
  • the target value calculation means 20 also calculates an optimal weight loss curve, and if the name displayed on the terminal screen is clicked, the target value calculation means 20 is on the optimum weight loss curve of the person as shown in FIG. A graph in which the actually measured body weight is plotted is displayed, and a public health nurse or the like can grasp at a glance whether or not weight loss is being performed smoothly or whether it is not rebounding. Moreover, you may make it display all the personal information input initially with the said graph with a list by clicking a name.
  • FIGS. A second embodiment of the present invention will be described based on FIGS. As in the first embodiment, this embodiment uses all of the weight scale 2, the smartphone or tablet terminal 3, and the wearable terminal 4 in order to strictly check daily behavior. One or a combination of any two may be used.
  • the difference between the second embodiment and the first embodiment is that there is a high possibility of giving up a diet and likely to drop off, or a situation that is likely to rebound.
  • the comparison means 30 for comparing the data sent from the data processing means 25 with the threshold value and generating diet omission information when the threshold value is exceeded. Is a point.
  • the comparison means 30 sets a threshold value when, for example, weight data is not transmitted continuously for 10 days, or when the target achievement rate is less than 10% even after 3 months have passed since the start of the diet.
  • diet dropout information is generated and the diet is displayed on the health insurance terminal 5 screen as shown in FIG. Display dropout information.
  • a red circle blinks at the beginning of the name, but the name may be displayed in red or the like different from others. In any case, the display may be made so that a public health nurse or the like can understand at a glance from the screen of the terminal 5.
  • the threshold for generating the rebound information is also set as appropriate, for example, when the rate of increase from the reached target weight (rebound rate) or when there is no data transmission for a certain period of time.
  • the threshold value is not limited to the above example, and a plurality of patterns can be appropriately set based on various information of persons who have dropped out of the diet in the past.
  • the determination of rebound during the weight maintenance period can be set as appropriate in a plurality of patterns based on various information of past rebounds, as described above.
  • a state in which the diet dropout accuracy is extremely high and a state in which the rebound accuracy is extremely high are set as threshold values in advance, and when the target person's action is in a state set by the threshold value, It is judged that there is a high risk of dropout or rebound, and the system automatically generates diet dropout information or rebound information and displays it on the screen of the health insurance association's terminal 5 so that a public health nurse etc. Since the possibility of being in a rebound situation can be determined, it is possible to grasp the target person who needs additional support or direct confirmation at a suitable point in time.
  • the health insurance association terminal 5 when the name display is clicked, the actually measured weight is plotted on the optimum weight loss curve, and whether the weight loss is being performed smoothly or whether the target weight is maintained is visually displayed. This can be confirmed in the same manner as in the first embodiment.
  • a third embodiment of the present invention will be described based on FIGS. As in the first and second embodiments, this embodiment uses all of the weight scale 2, the smartphone or tablet terminal 3, and the wearable terminal 4 in order to strictly check daily activities. Any one of them or a combination of any two of them may be used.
  • the feature of this embodiment is that the risk of dropout during the diet period (during weight loss) and the risk of rebound during the weight maintenance period after completion of the diet are more serious than those in the second embodiment. It is a point that is determined as a degree of risk that can be easily determined.
  • the comparison means 30 in the management system 1 includes an optimal daily calorie intake reduction amount, an optimal daily calorie consumption increase amount, an optimal diet habit, and an optimal weight loss determined by the diet program.
  • an optimal daily calorie intake reduction amount By comparing the curve and the result processed by the data processing means 25, it is determined whether the diet is being performed smoothly, and the determination result is displayed on the smartphone or tablet terminal 3 and the terminals 5 in each health insurance association. Send to.
  • the terminals 5 of each health insurance association are configured to display a list of a plurality of persons who are subjects of specific health guidance for each health check implementation date as a single population. The determination may be performed every day or appropriately in units of one week or 10 days.
  • the comparison means 30 of the present invention includes a diet dropout database 40 that preliminarily converts the weight increase / decrease tendency of a person who has given up on the way, the presence / absence of diet habits, the presence / absence of weight measurement, By comparing the dropout pattern recorded in the diet dropout database 40 with the data transmitted from the subject, the diet dropout risk determining means 32 for determining the risk of dropout in the determination is provided. In addition.
  • Diet dropout risk is a predicted value that you will probably give up if you go as it is from the past diet dropout behavior patterns, and the risk of dropout is high depending on the degree of accuracy
  • the determination is made in three stages of A determination, B determination, and C determination.
  • the determination is not limited to three steps, and may be four-step or five-step determination, and as a method of displaying the degree of risk, the number of figures such as ⁇ and ⁇ may be displayed.
  • the most dangerous A judgment is, for example, that the most recently transmitted weight has hardly decreased (inversely increased), and after that, the weight measurement, the answer to diet habits, and the wearable terminal 4 are more than 10 days. It is generated when it is not worn, and the B determination is, for example, a day when the weight is relatively decreased compared to the A determination, but the daily increase / decrease is large, and the weight measurement or answer is not performed Is generated when the frequency appears frequently, and the weight of C judgment is less than that of A / B judgment, but the deviation from the target value is large and the weight is not measured. It is generated when a state in which the wearable terminal 4 is not worn without appearing the answer to the implementation appears about two or three times a week.
  • the behavior patterns of past diet dropouts are various, and in this embodiment, for example, based on the results of interviews from the past 100 diet dropouts, a behavior pattern table predetermined as a highly accurate estimated value is prepared, The degree of risk is determined by comparing the action pattern table with data actually transmitted.
  • a risk determination method for example, using the system of the first embodiment, hundreds of samples are collected, and a dropout using a statistical method similar to the precipitation probability of the weather forecast is collected based on the sample. The probability may be calculated. As described above, the determination of the risk of dropping off according to the present invention ranks and evaluates dropping risk, or performs probability display based on a statistical method.
  • FIG. 7 is a display example of the diet dropout risk displayed on the screen of the terminal 5 of each health insurance association.
  • the diet dropout risk generated by the diet dropout risk determination means 32 is displayed as “determination A”, “determination B”, and “determination C” on the left side of the name on the screen of the terminal 5 of each health insurance association. Displayed with colored masking.
  • the display contents other than the diet dropout risk determination display are the same as those in the first embodiment.
  • the names of persons belonging to the A judgment group having the highest possibility of dropping are masked in red and displayed at the top of the name list, the B judgment group is masked in purple, and listed below the A judgment group. Up, the C judgment group is masked in yellow and listed under the B judgment group, and the group that is dieting smoothly is judged as “smooth” and under the C judgment group without coloring. It is supposed to be listed.
  • the public health nurses and the like can be obtained by listing the target persons who are likely to give up on the diet and drop out in descending order of possibility. It is possible to identify at a glance who needs to support in a hurry, and within a limited number of personnel restrictions, it is now possible to take additional support measures pinpointed in order from those who are likely to drop out .
  • the contents of specific additional support activities by such public health nurses can be recorded from the terminal in association with the target person.
  • the additional support activity information may be recorded in the personal information database 10 or may be recorded in another dedicated database.
  • the details of the additional support performed are displayed on the right side of the screen shown in FIG.
  • the diet drop risk information (determination result) generated by the diet drop risk determination means 32 may be transmitted to the terminal 3 of the target person, but has already given up on the diet and has not seen the terminal 3. is assumed. For this reason, in the present embodiment, the diet dropout risk information is transmitted only to the terminals 5 of each health insurance association so that the public health nurse and the like can reliably grasp the situation.
  • the determination result may be transmitted to the company terminal as in the first embodiment.
  • the diet dropout information is further generated from the diet dropout risk determination means 32.
  • the diet dropout information is counted as “1” and accumulated, thereby allowing the diet dropout rate to be calculated for all the subjects of specific health guidance as a population.
  • the population is, for example, a participant who has been subject to specific health guidance every month, quarter, or half year. For this reason, the personal information database 10 also records data on the date and time when the diet program was started.
  • “achievement completion” may be displayed on the terminals of each health insurance association and displayed separately as an achievement list.
  • the achiever may count this as “1” and accumulate it, and calculate all the subjects of specific health guidance as a population as a diet success rate or target achievement rate.
  • the population in this case is also a participant who has been subject to specific health guidance every month, quarter, or half year.
  • the target weight was reached during the 6-month diet period, the initial target weight was set within a reasonable range and did not reach the ideal standard weight. It is also expected that those who want a diet program aiming at will come out. In that case, a new diet program aiming at a further target weight may be formulated and implemented in consultation with a public health nurse without waiting for the next health checkup (after six months). In this case, the weight maintenance period management described below is not applied, and a weight loss period support system based on a new diet program is applied.
  • the above explanation is a weight loss period, that is, a support system in the process of losing weight to the target weight after starting the diet, but this embodiment is in the weight maintenance period of the person who achieved the target weight (achievement person). And a support system for appropriately avoiding rebound.
  • the optimal calorie intake reduction amount per day the optimal calorie consumption increase amount per day, and the optimal diet calculated by the target value calculation means 20 so that those who have achieved weight loss to the target weight will not subsequently rebound. While calculating and presenting habits, the subject is instructed to continue at least daily weight measurement.
  • the system is configured to continue only the weight measurement so that the subject can perform it without difficulty.
  • the comparison means 30 in the management system 1 compares the measured weight transmitted from the weight scale 2 with the maintenance target weight, determines whether the weight is maintained within a predetermined range of the target weight, and determines the determination result. It transmits to the smart phone or tablet type terminal 3, and the terminal 5 in each health insurance association. The determination may be performed every day or appropriately in units of one week or 10 days.
  • the present invention quickly detects such a situation, generates rebound risk information for those who are likely to rebound, transmits the information to the terminals 5 in each health insurance association, and the public health nurse etc. Can be grasped.
  • the rebound risk is a predicted value that, if viewed from the behavior pattern of the rebound person, the rebound risk will probably be rebound.
  • the comparison means 30 of the present invention has a rebound database 50 that preliminarily converts weight gain patterns based on the results of interviews with persons who have rebounded in the past.
  • Rebound risk determination means 33 for calculating rebound risk information at the time of the determination by comparing the rebound pattern recorded in the rebound database 50 with the weight data transmitted from the subject. Have.
  • the content of the rebound information database may be set in accordance with this.
  • the rebound risk is determined in three stages of X determination, Y determination, and Z determination in descending order of the rebound risk according to the degree of accuracy.
  • the X determination information with the highest degree of risk is, for example, a state in which the body weight increases linearly ascending to the right, and has increased by more than half of the weight loss within a predetermined period (for example, within 3 months), or It is generated when the weight data is not transmitted for a predetermined period from the state in which the weight is increasing, and the Y determination information is clearly increasing although the weight increase speed is slower than the X determination, and the weight data is Generated when only 3 or 4 times a week are transmitted, and the Z determination information tends to gain weight slowly as a whole, although there are some fluctuations every day, and weight measurement information is frequently transmitted.
  • the rebound risk is determined according to various combination states.
  • the determination of the rebound risk is not limited to three levels, as with the diet dropout risk, and may be a four-level or five-level determination. The number of figures may be displayed.
  • the behavior patterns of those who have rebounded in the past are various.
  • a behavior pattern table predetermined as a highly accurate estimated value is prepared based on the results of interviews with the past 100 rebound experienced people.
  • the risk level is determined by comparing the action pattern table with the actually transmitted data.
  • the risk determination method also collects several hundred samples using the system of the first embodiment, for example, and based on the sample, the precipitation probability of the weather forecast You may make it calculate the rebound probability using the same statistical method.
  • the rebound risk determination in the invention of the present application ranks and evaluates the risk of rebound, or performs probability display based on a statistical method.
  • FIG. 8 is a display example of the rebound risk displayed on the screen of the terminal 5 of each health insurance association.
  • the target list that has been reached, the latest weight and the rebound rate are displayed, and the rebound risk generated by the rebound risk determination means 33 is the name “Determining X”, “Determining Y”, and “Determining Z” are displayed on the left side, and are displayed with colored masking.
  • the names of persons belonging to the X determination group having the highest rebound probability are masked in red and displayed at the top of the list, the Y determination group is masked in purple, and listed below the X determination group
  • the Z determination group is masked in yellow and listed below the Y determination group, and the group whose weight is maintained within the predetermined range with respect to the target value is determined to be “smooth” and is not colored. In the state, it is listed under the Z determination group.
  • each health insurance association's terminal 5 On the screen of each health insurance association's terminal 5, by listing the subjects with the highest risk of rebound in descending order of probability, public health nurses etc. can identify at a glance those who need immediate assistance Yes, it is possible to take additional support measures pinpointed in order from the target with the highest possibility of rebound within the limited personnel limit.
  • Public health nurses, etc. first prompt those who have a high possibility of rebounding in red in the X judgment group to resume diet programs and resume daily weight measurement by telephone or interview. As a result, when the subject person who is displayed in red resumes the left article item, in the next determination, the display returns to the target value maintainer display (or Y determination or Z determination), and is removed from the list requiring emergency support.
  • this system is able to record support activities for avoiding specific rebounds by such public health nurses from the terminal in association with the target person.
  • the support activity information may be recorded in the personal information database 10 or may be recorded in another dedicated database. The details of the additional support performed are displayed on the right side of the screen shown in FIG.
  • the rebound risk information generated by the rebound risk determination means 33 may be transmitted to the terminal 3 of the target person, but it is assumed that the user has already given up on the diet and is not looking at the terminal. Therefore, in this embodiment, the rebound risk information is transmitted to the terminals 5 of each health insurance association so that a public health nurse or the like can surely grasp the situation. Moreover, you may transmit a rebound determination result also to a company terminal similarly to 1st embodiment.
  • the rebound risk determination means 33 further generates rebound information.
  • the rebound information is counted as “1” and accumulated so that the rebound rate can be calculated with the target weight achieved person as the population.
  • the population is, for example, a participant who has been subject to specific health guidance every month, quarter, or half year.
  • this embodiment was introduced as a system provided with both a diet dropout risk determination means and a rebound risk determination means, it may be a system having only a diet dropout risk determination means or only a rebound risk determination means. good.
  • the target value calculation means 20 calculates the optimum weight loss curve, and if the name displayed on the terminal screen is clicked, the result is shown in FIG. A graph in which the actually measured weight is plotted on the optimal weight loss curve is displayed, and public health nurses can grasp at a glance whether the weight loss is going smoothly or not rebounding. You may do it.
  • the person in charge of specific health guidance can grasp the execution status of the daily diet program from the terminal 5 in each health insurance association, etc.
  • the information of those who are about to give up and drop out or who are likely to rebound from the same terminal in the order of accuracy it is efficiently pinpointed and at the right time within the limited personnel limit It becomes possible to instruct improvement.
  • macro data such as an unachieved rate including a diet achievement rate and a diet drop-off rate, a maintenance rate after achieving the target, and a rebound rate can be acquired. It can be used as basic data for planning new measures in unions and governments.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Nutrition Science (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

Un problème devant être résolu par la présente invention est que les programmes de régime classiques, qui sont mis en œuvre par une personne qui est soumise à un guidage de conseil spécifique, ont généralement été réalisés en présumant que ladite personne soumise au programme le met en œuvre sur une initiative personnelle, et ne sont pas capables d'identifier une personne qui est susceptible d'abandonner et de cesser le régime ou une personne qui est censée subir une reprise de poids. Dans la présente invention : les données que mesure une personne soumise à un régime sur une base quotidienne sont comparées aux données de modèle d'activité de personnes ayant abandonné le régime et de personnes ayant repris du poids après régime par le passé ; les situations dans lesquelles la personne soumise au régime est susceptible de cesser le régime ou de subir une reprise de poids sont automatiquement évaluées ; et des informations de risque d'abandon de régime et des informations de risque de reprise de poids sont générées.
PCT/JP2016/081562 2016-03-08 2016-10-25 Assistance au régime et système de gestion de régime WO2017154262A1 (fr)

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JP6894063B2 (ja) * 2017-01-17 2021-06-23 株式会社キャンサースキャン 健康管理介入支援情報生成のための基盤システム、及び同基盤システムを利用した薬剤管理介入支援情報生成システム
JP6301573B1 (ja) * 2017-08-14 2018-03-28 サスメド株式会社 治療支援装置および治療支援用プログラム
KR102137571B1 (ko) * 2018-05-16 2020-07-24 주식회사 삼육오엠씨네트웍스 도전목표달성을 통한 수익 분배 장치
JP2021093107A (ja) * 2019-11-29 2021-06-17 チェスト株式会社 Ｃｐａｐ管理システム及び複数のｃｐａｐ装置を管理する管理方法
JP6818378B1 (ja) * 2020-07-20 2021-01-20 メドケア株式会社 情報提供システム

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