The present invention relates to a health care assisting device that appropriately sets and amends a target value for improving a lifestyle of a user, in accordance with a measurement value of biological information of the user who needs health care and an answer from the user as to how much the user has achieved a target for improving the lifestyle of the user.
As a conventional health care assisting device, there has been a device, with the aim of improving a lifestyle, that calculates a degree to which the lifestyle improvement is settled into a habit on the basis of answers from the user (see Patent Reference 1, for example).
Patent Reference 1: Japanese Laid-Open Patent Application No. 2000-37354.
Problems that Invention is to Solve
However, in the case of the health care assisting device that assists the lifestyle improvement of the user on the basis of the answers from the user, there is a problem that the answers would be affected by an answering tendency which shows a difference between an actual activity of the user and an answer regarding that activity. In fact, as published in Kenko-Eiyo News (Health and Nutrition News) Vol. 3, No. 3 (issued by National Institute of Health and Nutrition in December of 2004, No. 10, p. 7) and in “Himan Ni Tsuite Kangaeru (Study on Obesity)” of Sanseiken Forum (No. 61, February in 2004), a value that should be obtained if a patient who has a medical checkup carries out health care as declared is different from an actual measurement value, in many cases. Moreover, as published in “Tonyobyo Shinryo Master (Japanese Journal of Diabetes Master Clinician)” (by Igaku Shoin Ltd. in March of 2004, Vol. 2, No. 2, p. 230), an activity of the patient and an awareness or an evaluation of the activity may be different from an awareness or an evaluation by a third person regarding an actual activity of the patient.
Especially as to answers to questions about the lifestyle, the patient is likely to make the answers by recalling diets, exercises, and situations when eating tasty things, of the past month. Thus, the answers would be easily affected by a tendency of answering questions about activities of the individual. The reason for this is described as follows.
For a case of a user who needs a lifestyle improvement, an improvement target value for the lifestyle is preset. Then, the user works toward this target value for improving the lifestyle. Here, when this target value is not achievable for the user (the target value is too high), the user will lose a motivation for achievement, thereby failing to improve the lifestyle. On the other hand, when this target value is achievable for the user (the target value is appropriate), the motivation for achievement will be increased. At the same time, the motivation for achievement will be maintained, thereby making the lifestyle improvement work out well. As a result, health maintenance as well as health improvement can be realized. Accordingly, the setting of this target value is important in the lifestyle improvement.
First, this target value is set on the basis of the current health condition and living condition of the user. The living condition is perceived on the basis of the answers from the user. However, in the case where the answers are made in a free description form, it is difficult to perceive the answers because expressions and details may vary from individual to individual. For this reason, the answers are made to items which are categorized as specific as possible, such as diet and exercise. Nonetheless, since it is still difficult even in this case to perceive the answers quantitatively, examples of the living condition are provided so that achievement levels of the user can be given numerically with respect to the examples. This is effective for quantification.
Moreover, in the case where the user makes an answer by giving the achievement level with respect to the target value which was set under an agreement with the user, the user deeply understands the significance of the target value and therefore the motivation for achievement is increased. Also, since fully understanding each item, such as diet and exercise, the user does not make inaccurate answers. This allows the living condition of the user to be more perceivable.
However, generally speaking, the answered value is affected by the answering tendency of the user and is biased due to an individual variation in the answering tendency. As an example, an explanation is given as to the case of a person who shows “well-behaved character” as described in Kodokagaku Kara Mita Kenko To Byoki (Health and Disease from the Viewpoint of Behavioral Science) (published by Medical Friend Co. Ltd., pp. 25-28). The user who shows the well-behaved character is highly motivated to measure up to expectations of a doctor or the like who is in charge of supervising the user. Thus, such a user tends to think of the achievement level of the items supervised by the doctor as being high and gives a high value as an answer. To be more specific, in the same living condition, a user having a stronger well-behaved character is likely to give a higher value as the achievement level with respect to the target value while a user having a weaker well-behaved character is likely to give a lower value as the achievement level. In this way, the answer showing the achievement level varies depending on the answering tendency. This causes a bias in a next target value that is to be set, which ends up with no chance to expect an effect.
As described so far, in the case where the user is asked to answer the achievement level with respect to the target value that represents a challenging target relating to the lifestyle of the user and where the achievement level of the user is to be perceived only from the answer of the user, the answer showing the achievement level is biased due to the variation in the answering tendency of the user. That is to say, the achievement level that is given as the answer may be higher than it really is, and its extent may vary from user to user. As a result, a next target value that is to be set would be an inappropriate value, meaning that an original effect cannot be expected.
The present invention was conceived in view of the stated problem, and an object of the present invention is to provide a health care assisting device which is able to reduce an influence of the answering tendency of the user by correcting the answer regarding the lifestyle using the measurement value of the biological information of the user.
Means to Solve the Problems
A health care assisting device of the present invention is composed of: a measurement value input unit operable to receive an input of a measurement value of biological information of the user; an answer input unit operable to receive an input of an answer value of the user, the answer value being a self-rated achievement level with respect to a challenging target relating to a lifestyle which is concerned with the biological information; and an answer correction unit operable to correct the answer value in accordance with a degree of difference between the answer value and an achievement level with respect to the target of the biological information, the achievement level being calculated from the measurement value of the biological information.
It should be noted here that the present invention is can be realized not only as a discrete health care assisting device described above, but also as: a health care assisting system which is composed of a health care assisting device and an external biological information measurement instrument; and a program which cause a computer to function as some or all of processing units that are included in the stated health care assisting device and the stated health care assisting system. It should be understood that such a program can be widely distributed via a recording medium such as a CD-ROM and a transmission medium such as the Internet.
Effects of the Invention
The health care assisting device of the present invention is able to reduce an influence of the answering tendency of the user exerted over an answer regarding the achievement level of the lifestyle improvement, so that an answer which more correctly reflects the actual lifestyle of the user can be obtained. Thus, the practical value of the present invention is extremely high.
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[FIGS. 11]
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600 health care assisting device
601 target value input unit
602 target value recording unit
603 measurement value input unit
604 answer sheet input unit
605 achievement coefficient α(N) calculation unit
606 correction coefficient β(N) calculation unit
607 post-correction achievement level yx(N) calculation unit
608 amendment target value tx(N+1) calculation unit
609 amendment target value tx(N+1) verification unit
610 amendment target value list recording unit
611 target value update unit
The health care assisting device 600 in
The achievement coefficient α(N) calculation unit 605 is a part of an answer correction means which corrects the answer value in accordance with a degree of difference between the answer value and the achievement level with respect to the target of the biological information, the achievement level being obtained from the measurement value of the biological information. Also, the achievement coefficient α(N) calculation unit 605 is an example of a processing unit which calculates an achievement coefficient a that represents the achievement level with respect to the target of the biological information, on the basis of the measurement value of the biological information and the target value of the biological information. In the present embodiment, the achievement coefficient a(N) calculation unit 605 is a computing unit that calculates an achievement coefficient α(N) according to a predefined arithmetic expression. The correction coefficient β(N) calculation unit 606 is an example of a correction coefficient calculation unit which calculates the correction coefficient β, from the calculated achievement coefficient α, that shows the degree of difference between the answer value and the achievement level with respect to the target of the biological information. In the present embodiment, the correction coefficient β(N) calculation unit 606 is a computing unit that calculates a correction coefficient β(N) according to a predefined arithmetic expression. The post-correction achievement level yx(N) calculation unit 607 is an example of an answer value correction unit which corrects the answer value inputted at the end of the predetermined period of time, using the calculated correction coefficient β(N). In the present embodiment, the post-correction achievement level yx(N) calculation unit 607 is a computing unit that calculates a post-correction achievement level yx(N) from the value of the answer sheet and the correction coefficient β(N) according to a predefined arithmetic expression. The achievement coefficient α(N) corresponds to an achievement level a of the biological information that is calculated from a target value t of the biological information and a measurement value s of the biological information. The correction coefficient β(N) corresponds to a degree of difference between an answer value sx regarding the achievement level with respect to the target of an item x relating to the lifestyle and the achievement level α of the biological information that is obtained from the target value t of the biological information and the measurement value s of the biological information. The post-correction achievement level yx(N) corresponds to a post-correction answer yx. The amendment target value tx(N+1) calculation unit 608 calculates tx(N+1) from an amendment lifestyle target value list described later that is stored in the amendment target value list recording unit 610, on the basis of tx(N). The amendment target value tx(N+1) verification unit 609 imposes a limitation so that the calculated tx(N+1) falls within a range preset for each item x. To be more specific, when tx(N+1) is beyond the preset range, tx(N+1) is fixed to a maximum value of the preset range, whereas when tx(N+1) is below the present range, tx(N+1) is fixed to a minimum value of the preset range. This prevents the target value from becoming so biased as to have a deleterious effect on health in repeated updates of the target value. The target value update unit 611 is an example of a target value decision means that decides a target value by amending the target value of the challenging target relating to the lifestyle, using the post-correction answer value with reference to data showing a correlation between the post-correction answer value and a degree of amendment for the challenging target relating to the lifestyle. In the present embodiment, the target value update unit 611 updates the target value tx(N) recorded in the target value recording unit 602 to the target value tx(N+1).
The correction coefficient β(N) display unit 612 is an example of a display means that display: the degree of difference between the answer value and the achievement level with respect to the target of the biological information, the achievement level being obtained from the measurement value; or the post-correction answer value. In the present embodiment, the correction coefficient β(N) display unit 612 is a display that displays the calculated correction coefficient or what the calculated correction coefficient indicates, that is, a degree of awareness of the achievement level in the lifestyle improvement is displayed to the user. With this display, the user can check the user's own answering tendency. Thus, the user has no choice but to see the lifestyle of the user more objectively and, as a result, the motivation to improve a future lifestyle-related disease can be increased. Those who find it too difficult to improve the lifestyle are reluctant to face the problem in their lifestyle, in other words, many of them shut their eyes to their problems. For such a user, the displaying of the correction coefficient is compelling enough to become aware of the lifestyle problem of the user and, therefore, is especially effective.
The health care assisting device 600 calculates α(N+1), β(N+1), and yx(N+1) on the basis of the target value tx(N+1) updated at the beginning of the (N+1)th period, the measurement value obtained by a measurement which is taken again at the end of the (N+1)th period, and the answer sheet inputted at the end of the (N+1)th period. From these calculated values, the health care assisting device 600 calculates a target value tx(N+2) for a next period of time at the end of the (N+1)th period, and then will repeat this.
A general explanation is provided as to a lifestyle improvement assistance for health care performed using the health care assisting device of the present invention, with reference to
Next, the user tries to improve the lifestyle with reference to the formed lifestyle target value sheet. In the case where the period of time is one month, for example, the user measures the biological information, such as the weight, the blood pressure, the blood cholesterol, and the HbA1c, after a lapse of one month (5103) and inputs the measurement values to the biological information target/measurement value sheet (
Then, the health care assisting device 600 calculates the achievement coefficient α(N) that shows the achievement level of the biological information, using a function α(N)=F(t, s(N)) from the biological information measurement value s(N) and the target value t of the biological information. Moreover, the health care assisting device 600 calculates the correction coefficient β(N) for correcting the achievement level inputted into the lifestyle answer sheet, using the correction coefficient β(N)=Gx(sx(N), α(N)) from the achievement level sx(N) and the achievement coefficient α(N) relating to the item of the lifestyle associated with the present biological information measurement value s(N) out of the achievement level answers inputted into the lifestyle answer sheet. Furthermore, the health care assisting device 600 calculates the post-correction achievement level yx(N) using the post-correction answer yx(N)=Hx(sx(N), β(N)), from the correction coefficient β(N) and the achievement level sx(N) inputted into the lifestyle answer sheet. Next, an amendment target value is generated by calculating an amendment target value tx(N+1) on the basis of the amendment lifestyle target value list from the post-correction achievement level yx(N) (S107).
Moreover, the health care assisting device 600 verifies whether or not this amendment target value tx(N+1) has no problem from a medical point of view (S108). For example, amendment target values of diet, exercise, and sodium reduction are limited within respective predetermined ranges. As an example, since a minimum amount of sodium intake per day is 0.5 g in general. Thus, when the amount of sodium intake per day that is calculated from the amendment lifestyle target value list is 0.5 g or less, the range is set to 0.5 g.
Next, the health care assisting device 600 forms the lifestyle target value sheet in which the target value tx(N) that was set and recorded at the beginning of the period is updated to a new target value tx(N+1) (S109). The user again tries to improve the lifestyle with reference to the updated lifestyle target value sheet. By this repetition, the lifestyle of the user will be improved.
In this way, sx(N) which is a self-rated value depending on a memory of the user after a lapse of, for example, one month since the lifestyle improvement started is corrected using the achievement coefficient α(N) derived from s(N) which is an objective measurement value. By doing so, a difference in character of the user, such as a difference in the tendency when answering the achievement level, can be corrected. Thus, the lifestyle target values can be set, appropriate to the health condition and the actual condition of the lifestyle of the user.
A specific explanation is given as to operations performed by the health care assisting device 600 constructed as described so far, with reference to
The user tries to improve the lifestyle, with reference to the lifestyle target value sheet shown in
Next, the health care assisting device 600 requests for an input of the answer sheet (S804). The user recalls the lifestyle of the past month and inputs sx(0) (x is an integer 1 to 6). In the present embodiment, in the case where the user thinks that the number of days in the past month on which the diet target was achieved is 27 days, for example, the user inputs s1(0)=0.9. Moreover, in the case where the user thinks that the number of days in the past month on which the exercise target was achieved is 24 days, the user inputs s2(0)=0.8. Similarly, the user gives other values of sx(0), answering the questions shown in
Next, the post-correction achievement level yx(0) is calculated using sx(0) and β(0) (S807). Here, the calculation is performed for a case of (a mathematical expression 7) Hx(sx, β)=(sx/β) and yx(0)=Hx(sx(0), β(0))=sx(0)/β(0). For example, the post-correction achievement level of the calorie intake is: y1(0)=s1(0)/β(0)=0.9/1.20=0.75.
Moreover, tx(N+1) is calculated by checking the calculated yx(N) against the amendment lifestyle target value list (S808). To be more specific, the amendment target value tx(1) is calculated from yx(0), with reference to the amendment lifestyle target value list. Here, since y1(0)=0.75, the amendment target value t1(1)=1.0*t1(0).
Next, tx(N+1) is verified (S809). To be more specific, the amendment target value tx(1) calculated in this way is verified by the amendment target value tx(N+1) verification unit 609. As a result of the verification, the amendment target value tx(1) calculated from yx(0) and the amendment lifestyle target value list of
As described above, a difference between the target value and the measurement value of the biological information is indexed as the achievement coefficient α(0) in the (mathematical expression 5). In the case of the present embodiment, the achievement coefficient α(0)=0.750, which is an objective numerical value based on the measurement value of the biological information. On the other hand, s1(0)=0.9 which is an answer for the item of the lifestyle associated with this biological information is a subjective numerical value that is answered as the achievement level recognized by the user. A deviation between the objective numerical value and the subjective numerical value is indexed as the correction coefficient β(0) in the (mathematical expression 6). Using this correction coefficient β(0), the subjective numerical values of S2(0), S3(0) . . . S6(0) can be corrected and changed into objective numerical values. In the present example, the user subjectively believes to have achieved for 27 days, that is, 0.9, but could achieve only 0.75 in reality. This shows that the user has a tendency to evaluate the user's own achievement level higher. It follows that the user has a tendency to evaluate the other items relating to the lifestyle higher as well. For this reason, the post-correction achievement level yx(0) is calculated by correcting this tendency using the correction coefficient β(0), so that the bias of the answering tendency of the user is compensated. Then, a next target value is set on the basis of the post-correction achievement level yx(0) that is obtained by compensating the bias of the answering tendency. Accordingly, the achievement level of the user can be perceived without an influence from the character and the like of the user, and an appropriate target value which is achievable for the user can be set. Owing to this, the motivation of the user for achievement can be expected to increase.
It should be noted here that the index coefficients, such as k and l, are adjusted in accordance with a characteristic of the biological information and a characteristic of the lifestyle.
As described so far, the health care assisting device 600 according to the present embodiment can set a target value of the lifestyle that is appropriate for the user by compensating a tendency of the user in recognizing the user's own achievement level, and is effective at improving the lifestyle of the user.
The present embodiment has described an example where the correction coefficient β is definitely displayed regardless of a value of the correction coefficient beta. However, the correction coefficient β may be displayed only when it deviates a predetermined value or more from 1. This allows the user to know the fact that the correction was needed only when a substantial correction was needed. Or, it is also effective in the case where the correction coefficient is not necessarily displayed but only the fact that the correction was needed is displayed. Moreover, in the case where the correction coefficient or/and the fact that the correction was needed is/are displayed on a screen of the monitor that appears after the completion of the input to the answer sheet by the user, this easily impresses the user and is especially effective. Furthermore, although the above embodiment described an example where the correction coefficient β is displayed in step S811 of
The following is an explanation of another example using the present embodiment, with reference to
The user first measures the systolic blood pressure. The measured systolic blood pressure is 140 mmHg, and it is desirable for the user to lower the blood pressure. For this reason, the user consults with a medical doctor or the like and then sets a target value t of the systolic blood pressure to be achieved in one month to 130 mmHg which is achievable for the user in consideration of the health condition of the user, as shown in
As is the case with the above-mentioned example, the user tries to improve the lifestyle with reference to
Then, the correction coefficient β(N) calculation unit 606 calculates the correction coefficient β(0). Here, since the blood pressure as the biological information and the amount of sodium intake are associated with each other, the correction coefficient β(0) is calculated from β(0) and s3(0). The present example shows a case of (a mathematical expression 6) G(α, sx)=(sx/α)l where l=1. Also, the correction coefficient β(0)=Gx(sx(0), α(0))=s3(0)/α(0). As a result, the correction coefficient β(0)=1.11.
Next, the health care assisting device calculates the post-correction achievement level yx(0) using sx(0) and β(0). The present embodiment shows a case of (a mathematical expression 7) Hx(sx, β)=(sx/β) and yx(0)=Hx(sx(0), β(0))=sx(0)/β(0). In this case, y3(0) is calculated according to y3(0)=s3(0)/β(0). The amendment target value tx(1) is calculated from the calculated y3(0)=0.72 and the amendment lifestyle target value list shown in
In the case of the present embodiment, α(0)=0.721, which is an objective numerical value based on the measurement value. On the other hand, s3(0)=0.8 which is an answer for the item of the lifestyle associated with this biological information is a subjective numerical value that is answered as the achievement level recognized by the user. A deviation between this objective numerical value and this subjective numerical value is indexed as the correction coefficient β(0) in the (mathematical expression 6). Using this correction coefficient β(0), the subjective numerical values of s2(0), s3(0) . . . s6(0) are corrected and changed into objective numerical values. In the present embodiment, the user believes to have achieved 0.8, but could achieve only 0.721 in reality. Although not as much as the above-mentioned user, this user also has a tendency to evaluate the user's own achievement level higher. It follows that the user has a tendency to evaluate the other items relating to the lifestyle higher as well. For this reason, the post-correction achievement level yx(0) is calculated by correcting the answers of the user having this tendency using the correction coefficient β(0), so that the bias of the answering tendency of the user is compensated. Then, a next target value is set on the basis of the post-correction achievement level yx(0) that is obtained by compensating the bias of the answering tendency. Accordingly, the target value achievable for the user can be set, thereby increasing the motivation for achievement. In addition to this, the displaying of the answer from the user in contrast with the post-correction answer as shown in
As described so far, it is effective that a target value of the lifestyle which is appropriate for the user can be set by compensating a tendency of the user in recognizing the user's own achievement level.
In the above embodiment, the explanation was presented as to the case where the BMI and the blood pressure are used as the biological information. However, an HbA1c (an index showing a mean value of the blood glucose level of the past one to two months) may be used as the biological information and the amount of sugar intake may be used as an item relating to the lifestyle. Alternatively, a total cholesterol concentration in the blood may be used as the biological information and the amount of fat intake may be used as an item relating to the lifestyle.
It should be noted that for the case where the above embodiment is implemented in a simpler way, an achievement coefficient α(N) may be calculated from, for example, a biological information target value t(N) and a biological information measurement value s(N) which are most concerned with the item relating to the lifestyle, then an amendment target value tx(N+1) may be calculated directly from the calculated achievement coefficient α(N) with reference to the lifestyle target value list.
In the above embodiment, the achievement level shown by the answer value is corrected on the basis of the achievement coefficient α(N). However, the present invention is not limited to this, and a next target value of a measurement value of the biological information may be corrected using the achievement coefficient α(N). Then, a target value of an item relating to the lifestyle may be decided so as to cause the measurement value to be this corrected target value at the end of a next period for the lifestyle improvement.
The health care assisting device of the present invention can be applied to a health care assisting device that amends a target value of the lifestyle by correcting an answer regarding the lifestyle of the user in accordance with a measurement value of the biological information of the user who needs health care. To be more specific, the health care assisting device of the present invention is useful as a home personal computer, a PDA, a car navigation device, or a cellular phone that allows communication with a medical doctor in a hospital or the like via a communication network or the like.
The measurement instrument of the present invention is useful as: a measurement instrument, such as a home toilet device, a blood pressure meter, or a scale, that is connected to a hospital or the like via a communication network; household equipment such as a bed; and sanitary equipment such as a toilet device provided in public facilities and the like.
Number | Date | Country | Kind |
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2005-031115 | Feb 2005 | JP | national |
Filing Document | Filing Date | Country | Kind | 371c Date |
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PCT/JP06/00624 | 1/18/2006 | WO | 10/4/2006 |