JP2001067403A - Home health management system - Google Patents

Home health management system

Info

Publication number
JP2001067403A
JP2001067403A JP23901699A JP23901699A JP2001067403A JP 2001067403 A JP2001067403 A JP 2001067403A JP 23901699 A JP23901699 A JP 23901699A JP 23901699 A JP23901699 A JP 23901699A JP 2001067403 A JP2001067403 A JP 2001067403A
Authority
JP
Japan
Prior art keywords
health
weather
data
disease
sickness
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP23901699A
Other languages
Japanese (ja)
Inventor
Katsutoshi Ishikawa
勝敏 石川
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CARE NETWORK KK
Original Assignee
CARE NETWORK KK
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CARE NETWORK KK filed Critical CARE NETWORK KK
Priority to JP23901699A priority Critical patent/JP2001067403A/en
Publication of JP2001067403A publication Critical patent/JP2001067403A/en
Pending legal-status Critical Current

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Medical Treatment And Welfare Office Work (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

PROBLEM TO BE SOLVED: To provide a health management system which automatically makes a detailed check presupposing an individual health history as to daily health data and gives advice about health and sickness at any time, and predicts sickness accompanying the changes of weather and takes previous treatments. SOLUTION: For this health management system, a computer network system equipped with a two-way video, audio, and data communication function is structured among a health care contact member HM, a care center CS, and a medical institution CD; and daily health data on members are monitored on terminal equipment TE at a service center and the medical institution and stored as member's individual databases and model discriminants which make clear the correlation between weather factors affecting the functions of the body and sickness are prepared to predict sickness accompanying the changes of weather.

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】本発明は、高齢者など在宅健
康管理委託を希望する者の日々の健康状況をチェックす
るとともに適宜健康・医療アドバイスを行い、また、気
象条件と関連性の高い疾病発生を予防するためのネット
ワークシステムを構築しようとするものである。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention checks the daily health status of a person wishing to outsource home health care, such as the elderly, gives appropriate health / medical advice, and also develops a disease that is highly relevant to weather conditions. The goal is to build a network system to prevent this.

【0002】[0002]

【従来の技術】健康保健のお陰で、健康に対する費用は
ただのような錯覚に陥り、「病気になったら病院へ行
く」ようになり、人間ドックにも1年に1回行けば良い
ほうである。健康を気にしながらも、自己の健康に対す
る具体的なケアの方法が分からない。また一方、我々が
高齢者へのいろいろなソーシャルサポートを行う場合が
あるが、これがすべて良い結果をもたらすとは限らな
い。不適切なサポートは高齢者の自立能力を抑制した
り、迷惑を感じさせる悪い例もある。良い効果も悪い効
果も、効果のないもののある。独居老人に対する在宅給
食サ一ビスも普及してきたが、生活機能が健全なのに、
毎日の生活行動を欠如させ、悪い効果しかもたらさない
場合もある。
2. Description of the Related Art Thanks to health, the cost of health falls into a simple illusion, "go to the hospital if you get sick," and you only have to go to the health check once a year. . I don't know how to care for my own health, even though I care about my health. On the other hand, we may provide a variety of social support to the elderly, but this may not all have positive consequences. Inappropriate support can limit the independence of the elderly and in some cases can be annoying. Both good and bad effects have no effect. At-home catering services for elderly people living alone have also spread, but despite their well-being,
In some cases, it causes a lack of daily living behavior and only has a bad effect.

【0003】[0003]

【発明が解決しようとする課題】一方、テレビ電話を医
者との間に設置し、「遠隔診療」なるものを行つている
ケースは、これはただの映像付き通信であり、健康管理
のシステムではない。
On the other hand, in a case where a videophone is set up with a doctor and "remote medical treatment" is performed, this is merely communication with video, and in a health care system, Absent.

【0004】また、健康と気象の関係については一部の
医学関係者の間での研究では、解析データがないので、
消防署の救急出動回数等で行っている程度である。
[0004] In addition, there is no analysis data on the relationship between health and weather in some medical professionals,
It is only performed by the number of emergency dispatches at the fire department.

【0005】高齢者の中には健康管理に不安を持ち、養
護老人ホームなどに入る向きもあるが、一方在宅のまま
日常生活を送りたいと願う人も多い。
[0005] Some elderly people are worried about health care and are going into nursing homes, but many wish to live their daily lives while at home.

【0006】そこで、本発明の目的とするところは、在
宅のまま日々の健康データについて個人的健康履歴を前
提にした詳細なチェックを自動的に行うことができ、逐
次健康・疾病についてアドバイスを行い得るとともに、
気象の変化に伴う疾病の発生可能性を予測し、事前の手
当を講じることによって疾病の発症率を抑え得る健康管
理システムを提供しようとするものである。
Therefore, an object of the present invention is to enable a detailed check based on a personal health history to be automatically performed on daily health data while staying at home, and to sequentially provide advice on health and illness. Gain and
It is an object of the present invention to provide a health management system capable of predicting the possibility of occurrence of a disease associated with a change in weather and taking appropriate precautions to reduce the incidence of the disease.

【0007】[0007]

【課題を解決するための手段】上記目的を達成するた
め、本発明においては、まず健康管理委託会員と管理セ
ンターと医療機関の三者間において、公衆回線、専用回
線、CATV回線などを利用して双方向映像・音声・デ
ータ通信機能を具備したコンピュータネットワークシス
テムを構築し、三社相互間における情報伝達網を確立し
た上で、在宅健康管理委託会員が自宅の端末器を介して
入力・送信する日々の健康データをサービスセンターと
医療機関の端末器に表示させて監視するとともに、当該
会員の健康履歴として個別データーベース化して蓄積
し、日々、入力・送信されて来る健康データを分析して
逐次健康・医療アドバイスを遂行するようにする。さら
にまた、体の機能に影響を与える気象因子を説明変数、
疾病発生を目的変数として数量化理論II類に基づく多変
量解析を行って気象と疾病発生予測との相関関係を明ら
かにしたモデル判別式を作成し、気象変化を予測して気
象予測を提供するとともにモデル判別式に基いて予測し
た疾病発生確率に従って、適宜疾病発生の予防措置を講
じ、未然に疾病の発生を予防し得るようにしたものであ
る。
In order to achieve the above object, according to the present invention, a public line, a dedicated line, a CATV line and the like are used between a health care entrusting member, a management center, and a medical institution. To build a computer network system with two-way video / audio / data communication functions, establish an information transmission network among the three companies, and input / transmit via a terminal at home by a home health care entrusted member In addition to displaying and monitoring daily health data on the terminal of the service center and medical institution, as well as creating and storing an individual database as the health history of the member, analyzing the health data that is input and transmitted daily Try to perform health and medical advice one after another. Furthermore, explanatory variables that describe weather factors that affect body function,
A multivariate analysis based on quantification theory II with disease occurrence as the target variable is used to create a model discriminant that clarifies the correlation between weather and disease occurrence prediction, and provides weather prediction by predicting weather change At the same time, according to the disease occurrence probability predicted based on the model discriminant, preventive measures against the occurrence of the disease are appropriately taken so that the occurrence of the disease can be prevented beforehand.

【0008】すなわち、本発明は、健康管理委託会員と
管理センターと医療機関の三者間において、公衆回線、
専用回線、CATV回線などを利用して双方向映像・音
声・データ通信機能を具備したコンピュータネットワー
クシステムを構築し、端末器を介して入力・送信される
会員の日々の健康データを管理センターと医療機関の端
末器に表示させて監視するとともに会員の個別データー
ベースとして蓄積し、逐次健康・医療アドバイスを遂行
するとともに、体の機能に影響を与える気象因子を説明
変数、疾病発生を目的変数として数量化理論II類に基づ
く多変量解析を行って気象と疾病発生予測との相関関係
を明らかにしたモデル判別式を作成し、気象変化の予想
とともに疾病発生確率を予測して疾病発生の予防を図る
ようにした在宅健康管理システムを特徴としている。
[0008] That is, the present invention provides a public line between a health care entrusted member, a management center and a medical institution.
Construct a computer network system with two-way video, audio and data communication functions using a dedicated line, CATV line, etc., and manage and manage members' daily health data input / transmitted via terminals Monitor and display on the terminal of the institution and accumulate it as a member's individual database, successively perform health and medical advice, and quantify weather factors affecting body functions as explanatory variables and disease occurrence as objective variables. A multivariate analysis based on Chemical Theory II is used to create a model discriminant that clarifies the correlation between weather and disease occurrence prediction, and to prevent disease occurrence by predicting weather change and predicting disease occurrence probability It is characterized by the home health management system as described above.

【0009】これにより、健康管理委託会員が自宅に設
置された端末器を利用して測定・入力した日々の健康デ
ータは、管理センター及び医療機関の端末器において監
視され、適宜双方向通信を介して健康・医療アドバイス
が行われるとともに異常が検知されたときには医療機関
が遠隔診療を行うほか、状況に応じて医療スタッフが会
員宅に急行し、医療措置を行う態勢をとることができ
る。また、会員から送信された日々の健康データは、個
別にデータベース化して蓄積されることにより、会員の
健康データの異常値は自動的に検出することができる。
[0009] Thus, the daily health data measured and input by the health care entrusting member using the terminal installed at home is monitored by the terminal of the management center and the terminal of the medical institution, and is appropriately exchanged via two-way communication. Healthcare and medical advice is given, and when an abnormality is detected, the medical institution performs remote medical treatment, and depending on the situation, the medical staff can rush to the member's house to take a measure to take medical measures. In addition, the daily health data transmitted from the member is individually stored in a database, and the abnormal value of the member's health data can be automatically detected.

【0010】会員が自宅に置かれた端末器を利用して定
時または随時に測定・入力する健康データとしては、
1.体温 2.脈拍 3.血圧 4.体重 5.体調デ
ータなどであり、1〜4の測定結果は自動入力される。
5の体調データはリモート機器で会員が容易に入力でき
るようにする。
[0010] The health data that the member measures and inputs at regular or any time using a terminal device placed at home includes:
1. 1. Body temperature Pulse3. Blood pressure 4. Weight 5. It is physical condition data and the like, and the measurement results of 1-4 are automatically inputted.
The physical condition data of No. 5 can be easily input by the member using the remote device.

【0011】また、健康データを個別にデータベース化
し、数量化理論II類に基づく多変量解析を行って気象と
疾病発生予測との相関関係を明らかにしたモデル判別式
を作成することにより気象変化に伴う疾病発生を予測す
ることにより疾病発生の予防を図り得る点が本発明の在
宅健康管理システムの大きな特徴点となっている。
[0011] In addition, the health data is individually compiled into a database, and a multivariate analysis based on quantification theory II is performed to create a model discriminant that clarifies the correlation between the weather and the disease occurrence prediction. A feature of the home health care system of the present invention is that the occurrence of the disease can be prevented by predicting the accompanying disease occurrence.

【0012】すなわち、本発明者らが気象の変化が疾病
を誘発する関係を鋭意研究を行った結果、各会員から集
めた膨大な生データの解明に数量化II類に拠り解析する
に当たり、体の機能に影響を与える気象因子として、気
温(最高気温・最低気温の前日比較、一日の最高気温最
低気温の気温差・週間平均気温差)積算温度、気圧配置
(前日比較)、寒冷・温暖前線、水上気圧(前日比
較)、湿度変化、日照量、風向、風速を選定し、これら
の気象データを判別モデルの説明変数として使用するこ
とにより疾病発生を予測可能としたものである。
That is, the inventors of the present invention have conducted intensive studies on the relationship between changes in weather and diseases, and as a result, when analyzing the enormous raw data collected from each member based on quantification type II, analysis was conducted. Temperature factors (comparison of maximum and minimum temperatures the day before, temperature difference between maximum and minimum temperatures per day and weekly average temperature difference) integrated temperature, barometric pressure arrangement (comparison with the previous day), cold and warm A front line, a water pressure (compared to the previous day), a humidity change, a sunshine amount, a wind direction, and a wind speed are selected, and the occurrence of a disease can be predicted by using these weather data as explanatory variables of a discrimination model.

【0013】上記の数量化理論II類は、明らかにしたい
事項(これを目的変数という)と、それに関係する多数
の事柄(これを説明変数という)が共に質的データであ
るときの多変量解析である。したがっで、本発明におい
ては疾病発生の有無が目的変数であり、これと関係の深
い気象条件が説明変数となる。
The above-mentioned quantification theory II is based on multivariate analysis when the matter to be clarified (this is called an objective variable) and many related matters (this is called an explanatory variable) are both qualitative data. It is. Therefore, in the present invention, the presence or absence of a disease is the objective variable, and weather conditions closely related to this are the explanatory variables.

【0014】この多変量解析とは、相互に関連する多数
のデータを統計的に解析し、多種多様なデータを要約し
たり、データの背後にある疾病発生の現象の構造を明ら
かにする分析方法の総称であり、分析を行うに当たって
は、上記の目的変数と説明変数との関係を調べ、目的変
数に強い影響を及ぼしている説明変数を発見し、関係式
を作成するものである。そして、予測に当たっては、将
来においてもこの関係式が成り立つものとしてこの式を
用いる。
The multivariate analysis is an analysis method for statistically analyzing a large number of interrelated data, summarizing a wide variety of data, and clarifying the structure of a disease occurrence phenomenon behind the data. In conducting an analysis, the relationship between the objective variable and the explanatory variable is examined, an explanatory variable that has a strong influence on the objective variable is found, and a relational expression is created. Then, in the prediction, this equation is used assuming that this relational equation holds in the future.

【0015】本発明を実施するに当たっては、疾病の発
生と関係が深いと思われる気象条件を選択する必要があ
る。そこで、会員から集めた健康データから観察された
疾病と関係のある気象データをつぶさに検討したとこ
ろ、主に脳溢血・クモ膜下出血・心筋梗塞・不正脈・脳
梗塞・糖尿病・喘息発作・関節炎・花粉症・風邪・イン
フルエンザ・食中毒・ノイローゼ・自殺・熱中症におい
て気温、気圧、湿度、風速、風向、気圧、日照量の変化
に当該気象条件を特定できることが明らかになった。そ
の理由並びに選定使用する説明変数(気象データ)は下
記のとおりである。 1.最高または最低気温差(気温差は北海道を除く全
域):前日との気温差が5℃以上上昇または下降した場
合。最低気温または最高気温の変化が体感温度として、
明確に認識できる気温差を5℃として設定する。この変
化した気温を身体に暴露した場合の皮膚温と核心温との
差を埋める生理的活動から派生する疾病は当然季節によ
り異なるが、脳溢血、心筋梗塞、糖尿病、喘息、関節
炎、風邪、インフルエンザ、くも膜下出血、脳梗塞、熱
中症などである。
In practicing the present invention, it is necessary to select weather conditions that are considered to be closely related to the occurrence of the disease. Therefore, we examined the meteorological data related to the disease observed from the health data collected from members, and found that it was mainly cerebral hemorrhage, subarachnoid hemorrhage, myocardial infarction, irregular pulse, cerebral infarction, diabetes, asthma attack, arthritis, It became clear that the meteorological conditions could be identified by changes in temperature, barometric pressure, humidity, wind speed, wind direction, barometric pressure, and sunshine in hay fever, cold, influenza, food poisoning, neurosis, suicide, and heat stroke. The reasons and the explanatory variables (weather data) used for selection are as follows. 1. Maximum or minimum temperature difference (temperature difference is the whole area except Hokkaido): When the temperature difference from the previous day rises or falls by 5 ° C or more. The change in minimum or maximum temperature is the perceived temperature,
The temperature difference that can be clearly recognized is set as 5 ° C. Diseases derived from physiological activities that bridge the difference between skin temperature and core temperature when the altered temperature is exposed to the body naturally vary depending on the season, but cerebral hemorrhage, myocardial infarction, diabetes, asthma, arthritis, colds, influenza, Subarachnoid hemorrhage, cerebral infarction, heat stroke, etc.

【0016】2.一日内気温差:一日の最低気温と最高
気温との差が11℃以上ある場合。特に寒冷期において
は日中の比較的暖かい気温を身体に暴露したあとで、急
に冷え込んだ時には脳溢血、心筋梗塞、喘息発作など、
また夏では熱中症が重要である。
2. Daily temperature difference: When the difference between the minimum temperature and the maximum temperature of the day is 11 ° C or more. Especially during the cold season, after exposing the body to relatively warm temperatures during the day, when it suddenly cools down, cerebral hemorrhage, myocardial infarction, asthma attack, etc.
Heat stroke is important in summer.

【0017】3.湿度:冬から早春にかけて湿度40%
以下でインフルエンザ。40%以下で皮膚湿疹。60%
以上で関節炎痛。晩春から夏にかけて80%以上で脳梗
塞の発症が多く見られ、その予報に役立つ。
3. Humidity: 40% humidity from winter to early spring
Influenza below. Skin eczema at 40% or less. 60%
Above, arthritis pain. From late spring to summer, more than 80% of cases of cerebral infarction occur frequently, which is useful for forecasting.

【0018】4.最高気温前日差5℃以上上昇または下
降:春から晩春および秋から初冬にかけては喘息、また
春には花粉症。初冬から冬にかけて脳内出血、脳血栓、
脳梗塞、心筋梗塞、肺炎の発症が多い。
4. Increase or decrease by 5 ° C or more before the maximum temperature: Asthma from spring to late spring and autumn to early winter, and hay fever in spring. From early winter to winter, cerebral hemorrhage, cerebral thrombosis,
Cerebral infarction, myocardial infarction and pneumonia frequently occur.

【0019】5.最低気温前日差5℃以上上昇または下
降:冬から早春には狭心症、晩春から夏にかけては麻
疹、風疹、夏場は熱中症、不正脈、晩秋から冬へは脳内
出血、脳血栓、脳梗塞、心筋梗塞、肺炎ならびにアトピ
ーがある。
5. Minimum temperature rise or fall 5 ° C or more before and after: angina from winter to early spring, measles and rubella from late spring to summer, heat stroke in summer, irregular pulse, cerebral hemorrhage from late autumn to winter, cerebral thrombosis, cerebral infarction, If you have myocardial infarction, pneumonia or atopy.

【0020】6.前線通過前:晩春から夏にかけては、
脳梗塞、晩秋から冬にかけてはリュウマチ、関節炎の痛
みに対する発症が有意に増加する。
6. Before the front: From late spring to summer,
The incidence of rheumatism and arthritis pain increases significantly from cerebral infarction and late autumn to winter.

【0021】7.前線通過時:早春においては、喘息お
よび花粉症が、夏においては脳梗塞および熱中症がまた
秋から冬にかけては喘息が、さらに冬場においては脳溢
血・クモ膜下出血・心筋梗塞・不正脈・アトピー性皮膚
炎の発症が増加する。この「前線通過」に関する判定は
次の要件のうち1つ以上該当する場合を指すものとす
る。
7. Front passage: Asthma and hay fever in early spring, cerebral infarction and heat stroke in summer, asthma in autumn and winter, and cerebral hemorrhage, subarachnoid hemorrhage, myocardial infarction, irregular pulse, atopy in winter. The incidence of atopic dermatitis increases. This determination regarding “passing the front” indicates a case where one or more of the following requirements are satisfied.

【0022】すなわち、何れも1時間変化量において、
風向45度以上、風速5m/sec以上、気温5℃以
上、湿度20%以上の場合の1つ以上。
That is, in each case, the amount of change in one hour
One or more when the wind direction is 45 ° or more, the wind speed is 5m / sec or more, the temperature is 5 ° C or more, and the humidity is 20% or more.

【0023】8.高気圧:冬から早春においては脳内出
血、脳血栓、脳梗塞、心筋梗塞、不正脈、春から晩春に
おいては結核感染、喘息、夏は熱中症、脳梗塞、秋から
冬にかけては喘息が増加する。
8. Hypertension: In winter to early spring, cerebral hemorrhage, cerebral thrombosis, cerebral infarction, myocardial infarction, irregular pulse, tuberculosis infection in spring to late spring, asthma, heat stroke in summer, cerebral infarction, asthma increases in autumn to winter.

【0024】9.低気圧:早春から春にかけてはうつ
病、初夏および秋から晩秋ではリュウマチが要注意であ
る。夏は脳内出血、脳血栓、初冬から冬にかけて心筋梗
塞、脳内出血、脳血栓である。
9. Cyclone: Depression from early spring to spring, rheumatism of concern in early summer and fall to late autumn. In the summer, there is cerebral hemorrhage, cerebral thrombosis, myocardial infarction, cerebral hemorrhage, and cerebral thrombosis from early winter to winter.

【0025】なお、高気圧・低気圧の判定については、
前24時間変化量が+10hpaで「高気圧」、−10
hpaで低気圧と判定するものとする。
It should be noted that the determination of high pressure / low pressure is as follows.
"High pressure" with change of +10 hpa for the previous 24 hours, -10
It is assumed that low pressure is determined at hpa.

【0026】但し、1,020hpa以上なら前24時
間変化量如何に関わらず「高気圧」と判定する。
However, if it is equal to or more than 1,020 hpa, it is determined to be "high pressure" irrespective of the change amount in the previous 24 hours.

【0027】10.日最大風速5m以上:冬から早春に
かけて脳内出血、脳血栓、心筋梗塞、不正脈が増加す
る。
10. Daily maximum wind speed of 5 m or more: In winter to early spring, cerebral hemorrhage, cerebral thrombosis, myocardial infarction and irregular pulse increase.

【0028】11.大雪・雷雨の直前: 偏頭痛。11. Immediately before heavy snow or thunderstorm: migraine.

【0029】12.大気汚染を伴う霧: 気管支炎、肺
炎 13.大気の逆転層: 850〜750hpa付近の場
合は喘息発作の説明変数に付加するものとする。
12. 12. fog with air pollution: bronchitis, pneumonia Inversion layer of the atmosphere: In the case of around 850 to 750 hpa, it should be added to the explanatory variable of asthma attack.

【0030】数量化理論II類による分析においては、変
数は全てカテゴリーデータでなければならない。このた
め、上記選定した各気象データ、すなわち、一日内気温
差、湿度、最高気温前日差、最低気温前日差、前線通過
前、前線通過時、高気圧、低気圧、日最大風速、大雪・
雷雨の直前、大気汚染を伴う霧、不快指数等のデータは
全てカテゴリーデータとする。
In analysis by quantification theory II, all variables must be categorical data. For this reason, each selected weather data, namely, daily temperature difference, humidity, maximum temperature difference before day, minimum temperature difference before day, before passing front, when passing front, high pressure, low pressure, daily maximum wind speed, heavy snow
Immediately before a thunderstorm, data such as fog with air pollution and discomfort index are all category data.

【0031】ついで、これらのデータをコンピュータに
入力すると、偏相関係数(各説明変数の影響の強さを表
わす係数)とレンジが算出され、説明変数については、
それぞれのカテゴリースコアと相関比(説明変数全体で
の影響の強さを表わす係数)が算出される。
Then, when these data are input to a computer, a partial correlation coefficient (a coefficient indicating the strength of the effect of each explanatory variable) and a range are calculated.
The respective category scores and correlation ratios (coefficients representing the strength of the effect on the entire explanatory variable) are calculated.

【0032】数量化理論II類は、目的変数の群の判別に
貢献する度合に応じて、説明変数の各カテゴリーに得点
を与える手法であり、この得点が上記カテゴリースコア
である。サンプルごとに当てはまるカテゴリーのカテゴ
リースコアを足し合わせた値をサンプルスコアといい、
このサンプルスコアを算出する式を判別モデル式とい
う。このサンプルスコアの値から各々のサンプルが目的
変数のどの群に属するか(疾病の発症の可能性の大小)
を判別することができる。
The quantification theory II is a method of giving a score to each category of the explanatory variable according to the degree of contribution to the discrimination of the group of the objective variable, and this score is the above-mentioned category score. The value obtained by adding the category scores of the categories that apply to each sample is called the sample score.
The formula for calculating the sample score is called a discriminant model formula. From the value of this sample score, to which group of the objective variable each sample belongs (the magnitude of the possibility of disease onset)
Can be determined.

【0033】本システムにおいては、このサンプルを毎
日継続的に、しかも大量に収集することができ、日々の
カテゴリーデータとの相関比を算出し、精度を上げるこ
とができる上に、地域差、特に生活慣習(冬の暖房形態
やトイレの形式など)、食物特性(塩分濃度など)をも
説明変数として検証を行う。それによって、従来明らか
でなかった東日本から東北地方にかけて特に脳卒中の疾
病が多発する判別を得ることができた。
In the present system, this sample can be collected continuously and in large amounts every day, the correlation ratio with the daily category data can be calculated, the accuracy can be improved, and the regional difference, especially Verification will also be performed using living habits (such as winter heating and toilet types) and food characteristics (such as salinity) as explanatory variables. As a result, it was possible to obtain a discrimination that stroke diseases were particularly frequent from East Japan to the Tohoku region, which was not clear until now.

【0034】このように本発明の在宅健康管理システム
は、会員の健康状態を数値化してデータベースとして蓄
積し、常時監視体制下におくことによって健康上の異常
状態を早期に発見して早期措置を講じ得るようにすると
ともに、疾病の発生と気象の変化との相関関係を明らか
にしてモデル判別式を準備し、これにより気象の変化に
伴う疾病の発生を予測して予防措置を講じることを可能
にしたものである。
As described above, the home health management system of the present invention quantifies the health status of members and accumulates them as a database, and constantly monitors the system to detect abnormal health conditions and take early measures. In addition to taking action, clarifying the correlation between the occurrence of illness and the change in weather and preparing a model discriminant, it is possible to predict the occurrence of illness due to change in weather and take preventive measures It was made.

【0035】[0035]

【発明の実施の形態】図1は、本発明に係る在宅健康管
理システムの一例を示す概要図で、健康管理委託会員H
Mと管理センターCSと契約医療機関CDの三者間にお
いて、公衆回線、専用回線、CATV回線などを利用し
た双方向映像・音声・データ通信機能を具備したコンピ
ュータネットワークシステムが構築されている。この例
では健康管理委託会員HMは、管理センターCSとの双
方向通信においてCATV回線を利用したグループG1
とISDN回線を利用したグループG2の2種類を例示
している。
FIG. 1 is a schematic diagram showing an example of a home health management system according to the present invention.
A computer network system having a two-way video / audio / data communication function using a public line, a dedicated line, a CATV line, or the like is constructed between the M, the management center CS, and the contracted medical institution CD. In this example, the health management entrusted member HM uses a CATV line for group G1 in bidirectional communication with the management center CS.
And a group G2 using an ISDN line.

【0036】健康管理委託会員HMの自宅にはマイク・
スピーカ・CCDカメラ・液晶タッチパネル式コンピュ
ータあるいはCATV用セットトップボックス(ST
B)のようなテレビ出力型コンピュータ・自動入力式計
測器などが接続された簡易入力方式の端末器TEが設置
されている。管理センターCSには各種情報の入出力を
行うとともに会員HMから送られてくる日々の健康デー
タを監視する端末器、当該日々の健康データをデータベ
ース化して蓄えるサーバ、日々の健康データとデータベ
ース内データを比較して異常の有無を判断する演算処理
装置、刻々と変化する気象データーの精細情報を取得す
る端末器、取得した気象データを蓄える気象データベー
スサーバ、気象状況と健康データとの相関関係に基いて
疾病の発生確率を予測し、データベース化した気象−疾
病データベースなどが設置されている。また、契約医療
機関CDと管理センターCSとは専用回線で接続され、
マイク・スピーカ・CCDカメラなどが接続された端末
器TEを介して会員HMから送られてくる日々の健康デ
ータを監視するとともに双方向映像・音声通信によって
適宜健康・医療アドバイスを送る。
At the home of the health care entrusted member HM, Mike
Speaker, CCD camera, LCD touch panel computer or CATV set-top box (ST
A terminal device TE of a simple input system to which a television output type computer, an automatic input type measuring device and the like as shown in B) are connected is installed. A terminal for inputting / outputting various information and monitoring daily health data sent from the member HM to the management center CS, a server for storing the daily health data in a database, daily health data and data in the database. Processor that determines whether there is an abnormality by comparing the data, a terminal that obtains detailed information on the ever-changing weather data, a weather database server that stores the obtained weather data, and a correlation between the weather situation and health data. In addition, a weather-disease database, etc., which predicts the occurrence probability of a disease and makes a database, is installed. In addition, the contracted medical institution CD and the management center CS are connected by a dedicated line,
It monitors daily health data sent from the member HM via the terminal TE to which a microphone, speaker, CCD camera, etc. are connected, and sends appropriate health / medical advice through two-way video / audio communication.

【0037】会員HMは端末器TEを介して毎日定時ま
たは臨時に血圧、体温、脈拍、体重等の基本データを測
定し、自動入力する。また自覚症状から派生する健康状
態などをリモートコントローラ又は簡易データ入力端末
等で入力する。これらの健康データは、管理センター、
契約医療機関の端末器に表示され、常時監視されるとと
もにデータベース化され、データに異常値が表示された
場合はアラームが作動し、医師または管理センターが緊
急対応するなど必要な医療措置がとられるようになって
いる。
The member HM measures basic data such as blood pressure, body temperature, pulse, body weight and the like at regular or temporary intervals via the terminal device TE and automatically inputs the data. In addition, a health condition or the like derived from the subjective symptoms is input by a remote controller or a simple data input terminal. These health data are stored in a management center,
It is displayed on the terminal of the contracted medical institution, constantly monitored and compiled into a database, and if an abnormal value is displayed in the data, an alarm is activated and necessary medical measures such as emergency response by a doctor or management center are taken It has become.

【0038】毎日の健康データや自覚症状をベースにし
た体調データはデータベース化してサーバーに蓄積する
とともに、グラフ化して健康度の傾向を把握することも
できる。また、医師が健康度の傾向をチェックし、早め
に診察を促し、双方向映像・音声通信によって在宅診療
を行うこともできる。
Daily health data and physical condition data based on subjective symptoms can be stored in a server in the form of a database and also graphed to grasp the tendency of the degree of health. In addition, a doctor can check the tendency of the degree of health, prompt a consultation as soon as possible, and perform home medical treatment by two-way video / audio communication.

【0039】また、管理センターが双方向映像・音声通
信網を介して各種の生活支援サービス・情報提供サービ
スを行うことにより、高齢者等の生活環境における問題
点を抽出して生活の質を高め、健康の増進を図るための
指導・助言・情報等を提供し、健康で明るい在宅日常生
活をサポートするトータルサポートシステムとして利用
することができる。
In addition, the management center provides various life support services and information providing services via the two-way video / audio communication network, thereby extracting problems in the living environment of the elderly and improving the quality of life. It provides guidance, advice, information, etc. for improving health and can be used as a total support system to support healthy and bright home life.

【0040】「生活支援サービス」の一例をあげれば次
の通りである。
An example of the "life support service" is as follows.

【0041】1.健康増進生活指導サービス 健康データの解析に基づき、運動や食事等、健康増進の
ための個人指導を行う。
1. Health promotion life guidance service Based on the analysis of health data, we provide personal guidance for health promotion such as exercise and eating.

【0042】2.カロリー管理サービス 糖尿病など、病状に応じた最適食事内容の情報や摂取カ
ロリーの管理支援を行う。
2. Calorie management service Supports management of calorie intake information and information on optimal dietary content according to the condition such as diabetes.

【0043】3.会員交流・社会活動斡旋サービス 会員同士の双方向映像による交流や管理センターが様々
な社会活動への参加を誘引する。
3. Member exchange / social activity mediation service Two-way video exchange between members and a management center attract participation in various social activities.

【0044】4.クラブ活動支援サービス 趣味等を中心にした会員同士の交流会の開催やクラブ活
動を支援する。
4. Club activity support service Supports club activities and holding exchange meetings between members focusing on hobbies.

【0045】5.安心旅行施設利用サービス 管理センター契約温泉旅館等の施設を、会員が安心して
利用することができる。
5. Reliable Travel Facility Use Service Members can use facilities such as a management center contracted hot spring inn with confidence.

【0046】6.経済活動支援サービス 自分の資格や特技を管理センターに登録。それを生かし
活動できる先を紹介支援する。
6. Economic activity support service Register your qualifications and special skills in the management center. We will introduce and support where we can take advantage of it.

【0047】また、「情報提供サービス」の一例をあげ
れば次の通りである。
An example of the "information providing service" is as follows.

【0048】1.ショッピングサービス 日常の必需品を映像で紹介。欲しい商品を端末器に入力
し注文する。配達サービス。 2.病種・治療薬情報サービス 病気に罹った時の病名・調剤された薬についての情報検
索サービス 3.健康気象情報サービス 喘息・心臓発作・脳溢血・糖尿病・風邪など季節や気象
に左右される病気のケア情報を毎日提供する。
1. Shopping service Introducing daily necessities with video. Enter the desired product into the terminal and place an order. Delivery service. 2. 2. Species / therapeutic drug information service Information retrieval service about the name of the illness and the dispensed medicine at the time of illness. Health and Weather Information Service Provides daily care information on diseases such as asthma, heart attack, cerebral bleeding, diabetes, and cold that are affected by the season and weather.

【0049】4.元気な生活お便りサービス 遠隔地の肉親から遠い故郷の高齢者へ、メール、ビデオ
レター等のお便りサービス。
4. Lively Newsletter Service A mailing service, videoletter, and other newsletter services for elderly people in their hometowns that are far from their immediate family.

【0050】5.おもいでのミュージックサービス 人間の一番活動的なころの17才〜24才のころの音楽
や歌は、高齢になっても忘れること無く、その音楽を聞
くと当時のごとく元気になることを応用した音楽サービ
ス。本人の聞きたい曲名をあらかじめデータベースに入
力しておき、家庭用端末の簡易データ入力端末又はリモ
コン操作で何時でも簡単に聞けるようにするサービス。
5. Music service by remembrance The most active human music and songs from the age of 17 to 24 are applied to the fact that listening to the music will keep you healthy when you are older, even if you are older. Music service. A service in which the name of the song the user wants to listen to is entered in advance in the database, and the user can easily listen to the song at any time with a simple data entry terminal at home or a remote control.

【0051】6.何時でも使っ手、お互い様支え合いサ
ービス 会員の日常生活で、特抜や手を貸して助けあえる項目を
予めデータベースに登録し、必要な時お互いに助け合う
サービスシステム。
6. A service system that allows users to support each other at all times In the daily life of members, a service system that pre-registers items that can help each other with special help and help each other when necessary.

【0052】[0052]

【発明の効果】以上の通り、本発明によれば、健康管理
委託会員と管理センターと医療機関の三者をコンピュー
タネットワークシステムを介して有機的に結び付け、双
方向映像・音声・データ通信機能を駆使して在宅のまま
日々の健康データについて個人的健康履歴を前提にした
詳細なチェックを行うことができるものであり、逐次健
康・疾病について個別・具体的にアドバイスを行い得る
とともに、緊急時には直ちに適当な措置をとることがで
き、また、気象の変化と疾病の発生可能性との相関関係
を明らかにすることにより、予測される気象変化に応じ
た事前の手当を講じることができるため疾病の発症を未
然に予防し得る画期的な在宅健康管理システムを提供し
得たのである。
As described above, according to the present invention, the health care entrusted member, the management center, and the medical institution are organically connected via the computer network system, and the two-way video / audio / data communication function is provided. It is possible to carry out detailed checks on daily health data based on personal health history while at home with full use, and can provide individual and specific advice on health and illness sequentially and immediately in case of emergency Appropriate measures can be taken, and the correlation between the change in weather and the likelihood of disease can be clarified, so that advance treatment can be taken according to the predicted weather change, and It was possible to provide a revolutionary home health care system that could prevent the onset of the disease.

【0053】なお、管理センターが介入することによ
り、双方向映像・音声・データ通信網を利用して各種生
活支援サービス、情報提供サービスを行うこともでき、
高齢者等の生活環境における問題点を抽出して生活の質
を高め、健康の増進を図るための指導・助言・情報等を
提供し、健康で明るい在宅日常生活をサポートするトー
タルサポートシステムとして利用することができるとい
う利点も有している。
By the intervention of the management center, various life support services and information providing services can be provided by using the two-way video / audio / data communication network.
Used as a total support system that provides guidance, advice, and information for improving the quality of life and improving health by extracting issues in the living environment of the elderly, etc., and supporting a healthy and bright home life. It also has the advantage that it can be done.

【図面の簡単な説明】[Brief description of the drawings]

【図1】本発明に係る在宅健康管理システムの概要図。FIG. 1 is a schematic diagram of a home health care system according to the present invention.

【符号の説明】[Explanation of symbols]

HM…健康管理委託会員 CS…管理センター C
D…契約医療機関 TE…端末器
HM: Health management commissioned member CS: Management center C
D: Contract medical institution TE: Terminal

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】 健康管理委託会員と管理センターと医療
機関の三者間において、公衆回線、専用回線、CATV
回線などを利用して双方向映像・音声・データ通信機能
を具備したコンピュータネットワークシステムを構築
し、端末器を介して入力・送信される会員の日々の健康
データをサービスセンターと医療機関の端末器に表示さ
せて監視するとともに会員の個別データーベースとして
蓄積し、逐次健康・医療アドバイスを遂行するととも
に、体の機能に影響を与える気象因子を説明変数、疾病
発生を目的変数として数量化理論II類に基づく多変量解
析を行って気象と疾病発生予測との相関関係を明らかに
したモデル判別式を作成し、気象変化の予想とともに疾
病発生確立を予測して疾病発生の予防を図ることを特徴
とする在宅健康管理システム。
1. A public line, a dedicated line, a CATV, between a health care entrusted member, a management center, and a medical institution.
Construct a computer network system with two-way video, audio, and data communication functions using a line, etc., and use the service center and medical institution terminals And monitor them, accumulate them as a member's individual database, successively perform health and medical advice, and explain meteorological factors affecting body functions as explanatory variables and disease occurrence as objective variables. Creates a model discriminant that clarifies the correlation between weather and disease outbreaks by performing multivariate analysis based on GIS, and predicts disease outbreaks together with forecasting weather changes to prevent disease outbreaks. Home health care system.
JP23901699A 1999-08-25 1999-08-25 Home health management system Pending JP2001067403A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP23901699A JP2001067403A (en) 1999-08-25 1999-08-25 Home health management system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP23901699A JP2001067403A (en) 1999-08-25 1999-08-25 Home health management system

Publications (1)

Publication Number Publication Date
JP2001067403A true JP2001067403A (en) 2001-03-16

Family

ID=17038650

Family Applications (1)

Application Number Title Priority Date Filing Date
JP23901699A Pending JP2001067403A (en) 1999-08-25 1999-08-25 Home health management system

Country Status (1)

Country Link
JP (1) JP2001067403A (en)

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002288349A (en) * 2001-03-28 2002-10-04 Yumekaiba:Kk System for providing overall health service
WO2003048988A1 (en) * 2000-06-21 2003-06-12 Akio Sano Individual health information providing system
JP2003310585A (en) * 2002-04-25 2003-11-05 Office Takahashi:Kk Physical condition maintenance support system
JP2004213416A (en) * 2003-01-06 2004-07-29 Com & Com:Kk Management method and management device of medicine usage
WO2004114181A1 (en) * 2003-06-18 2004-12-29 Matsushita Electric Industrial Co., Ltd. Biological information utilization system, biological information utilization method, program, and recording medium
JP2006510451A (en) * 2002-12-18 2006-03-30 カーディアック・ペースメーカーズ・インコーポレーテッド Advanced patient management to correlate data
JP2007086906A (en) * 2005-09-20 2007-04-05 Terumo Corp Blood pressure prediction device
JP2007140683A (en) * 2005-11-15 2007-06-07 Terumo Corp Device for predicting development of disease of circulatory organ
US7302398B2 (en) * 2001-11-29 2007-11-27 Hitachi, Ltd. Health management support method, system and healthy life expectancy prediction data generation method and system
JP2011039862A (en) * 2009-08-13 2011-02-24 Weather Service Co Ltd Environmental information providing device, system, method and program
JP2011180857A (en) * 2010-03-02 2011-09-15 Saxa Inc Health care instruction providing system and health care instruction providing method
US8694116B2 (en) 2002-03-06 2014-04-08 Cardiac Pacemakers, Inc. Method and apparatus for establishing context among events and optimizing implanted medical device performance
JP2015219617A (en) * 2014-05-15 2015-12-07 日本光電工業株式会社 Disease analysis device, disease analysis method, and program
US9375566B2 (en) 2002-03-06 2016-06-28 Cardiac Pacemakers, Inc. Device for reporting heart failure status
US9480848B2 (en) 2002-03-06 2016-11-01 Cardiac Pacemakers, Inc. Advanced patient management with environmental data
JP2017205248A (en) * 2016-05-18 2017-11-24 株式会社ジェイマックシステム Onset factor inference device, onset factor inference method, onset factor inference device program, and onset factor inference system
JP2019125254A (en) * 2018-01-18 2019-07-25 株式会社東芝 System, method and program
JP2020077197A (en) * 2018-11-07 2020-05-21 株式会社 ポーラ Physical condition management support device based on local atmospheric pressure
JP2021000461A (en) * 2020-08-26 2021-01-07 株式会社東芝 System and program
JPWO2021132323A1 (en) * 2019-12-24 2021-07-01
WO2022201232A1 (en) * 2021-03-22 2022-09-29 日本電気株式会社 Health information generating device, health information generating method, and program
JP7490162B2 (en) 2022-04-07 2024-05-24 三菱電機株式会社 Weather forecasting system and weather-related disease forecasting system

Cited By (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003048988A1 (en) * 2000-06-21 2003-06-12 Akio Sano Individual health information providing system
JP2002288349A (en) * 2001-03-28 2002-10-04 Yumekaiba:Kk System for providing overall health service
US7302398B2 (en) * 2001-11-29 2007-11-27 Hitachi, Ltd. Health management support method, system and healthy life expectancy prediction data generation method and system
US9480848B2 (en) 2002-03-06 2016-11-01 Cardiac Pacemakers, Inc. Advanced patient management with environmental data
US10092186B2 (en) 2002-03-06 2018-10-09 Cardiac Pacemakers, Inc. Advanced patient management with environmental data
US9375566B2 (en) 2002-03-06 2016-06-28 Cardiac Pacemakers, Inc. Device for reporting heart failure status
US10413196B2 (en) 2002-03-06 2019-09-17 Cardiac Pacemakers, Inc. Device for reporting heart failure status
US8694116B2 (en) 2002-03-06 2014-04-08 Cardiac Pacemakers, Inc. Method and apparatus for establishing context among events and optimizing implanted medical device performance
JP2003310585A (en) * 2002-04-25 2003-11-05 Office Takahashi:Kk Physical condition maintenance support system
JP4758103B2 (en) * 2002-12-18 2011-08-24 カーディアック ペースメイカーズ, インコーポレイテッド Advanced patient management to correlate data
JP2006510451A (en) * 2002-12-18 2006-03-30 カーディアック・ペースメーカーズ・インコーポレーテッド Advanced patient management to correlate data
JP2004213416A (en) * 2003-01-06 2004-07-29 Com & Com:Kk Management method and management device of medicine usage
WO2004114180A1 (en) * 2003-06-18 2004-12-29 Matsushita Electric Industrial Co., Ltd. Biological information utilization system, biological information utilization method, program, and recording medium
JP4516018B2 (en) * 2003-06-18 2010-08-04 パナソニック株式会社 Biological information utilization system, biological information utilization method, program, and recording medium
JP4520409B2 (en) * 2003-06-18 2010-08-04 パナソニック株式会社 Biological information utilization system, biological information utilization method, program, and recording medium
US8147406B2 (en) 2003-06-18 2012-04-03 Panasonic Corporation Biological information utilization system, biological information utilization method, program, and recording medium
JPWO2004114181A1 (en) * 2003-06-18 2006-08-03 松下電器産業株式会社 Biological information utilization system, biological information utilization method, program, and recording medium
JPWO2004114180A1 (en) * 2003-06-18 2006-08-03 松下電器産業株式会社 Biological information utilization system, biological information utilization method, program, and recording medium
WO2004114181A1 (en) * 2003-06-18 2004-12-29 Matsushita Electric Industrial Co., Ltd. Biological information utilization system, biological information utilization method, program, and recording medium
JP2007086906A (en) * 2005-09-20 2007-04-05 Terumo Corp Blood pressure prediction device
JP2007140683A (en) * 2005-11-15 2007-06-07 Terumo Corp Device for predicting development of disease of circulatory organ
JP2011039862A (en) * 2009-08-13 2011-02-24 Weather Service Co Ltd Environmental information providing device, system, method and program
JP2011180857A (en) * 2010-03-02 2011-09-15 Saxa Inc Health care instruction providing system and health care instruction providing method
JP2015219617A (en) * 2014-05-15 2015-12-07 日本光電工業株式会社 Disease analysis device, disease analysis method, and program
JP2017205248A (en) * 2016-05-18 2017-11-24 株式会社ジェイマックシステム Onset factor inference device, onset factor inference method, onset factor inference device program, and onset factor inference system
JP2019125254A (en) * 2018-01-18 2019-07-25 株式会社東芝 System, method and program
JP2020077197A (en) * 2018-11-07 2020-05-21 株式会社 ポーラ Physical condition management support device based on local atmospheric pressure
JP7195882B2 (en) 2018-11-07 2022-12-26 株式会社 ポーラ Physical condition management support device based on local atmospheric pressure
JPWO2021132323A1 (en) * 2019-12-24 2021-07-01
WO2021132323A1 (en) * 2019-12-24 2021-07-01 イーソリューションズ株式会社 Health management system and health management method
JP7168270B2 (en) 2019-12-24 2022-11-09 イーソリューションズ株式会社 Health management system and health management method
JP2021000461A (en) * 2020-08-26 2021-01-07 株式会社東芝 System and program
JP7024025B2 (en) 2020-08-26 2022-02-22 株式会社東芝 System, program
WO2022201232A1 (en) * 2021-03-22 2022-09-29 日本電気株式会社 Health information generating device, health information generating method, and program
JP7490162B2 (en) 2022-04-07 2024-05-24 三菱電機株式会社 Weather forecasting system and weather-related disease forecasting system

Similar Documents

Publication Publication Date Title
JP2001067403A (en) Home health management system
Bishop et al. The Relationship between Housing Accessibility Variables and Employment Status among Adults with Multiple Sclerosis.
Morris et al. Comprehensive clinical assessment in community setting: applicability of the MDS‐HC
Friedman et al. A case–control study of severe physical abuse of older adults
Cooke et al. The effect of aromatherapy massage with music on the stress and anxiety levels of emergency nurses: comparison between summer and winter
Sikorska Organizational determinants of resident satisfaction with assisted living
Cohen et al. Schizophrenia and social networks: ex-patients in the inner city.
Wetle et al. Difficulty with holding urine among older persons in a geographically defined community: prevalence and correlates
Vancampfort et al. Sedentary behaviour and sleep problems among 42,489 community‐dwelling adults in six low‐and middle‐income countries
Chu et al. An occupational therapy fall reduction home visit program for community‐dwelling older adults in Hong Kong after an emergency department visit for a fall
Weinberger et al. The effects of positive and negative life changes on the self-reported health status of elderly adults
Arora et al. Relationship Between Quality of Care of Hospitalized Vulnerable Elders and Postdischarge Mortality: [See editorial comments by Dr. Robert M. Palmer, pp 1801‐1802]
Carey et al. HIV-risk behavior among outpatients at a state psychiatric hospital: Prevalence and risk modeling
Hunt et al. Examining the impact of a summer learning program on children’s weight status and cardiorespiratory fitness: a natural experiment
Aggar et al. Smart home technology to support older people's quality of life: A longitudinal pilot study
Dolu et al. Impact of a nurse‐led sleep programme on the sleep quality and depressive symptomatology among older adults in nursing homes: A non‐randomised controlled study
Digby et al. Improving call bell response times
Geset Haile et al. Prevalence of hypertension and associated factors among adults in Debre Berhan Town, North Shoa Zone, Ethiopia, 2020
MÄkinen et al. Self‐care in adults with asthma: how they cope
Chen et al. The risk factors and quality of life in children with allergic rhinitis in relation to seasonal attack patterns
Blaiss Asthma disease management: a critical analysis
Ruzafa‐Martinez et al. Consequences of the Covid‐19 pandemic on complex multimorbid elderly: Follow‐up of a community‐based cohort. SAMAC3 Study
Al-Rousan et al. Disability levels and correlates among older mobile home dwellers, an NHATS analysis
Meng et al. Association Between Stressful Life Events and Female Primary Sjogren’s Syndrome and Their Role in Disease Activity: A Retrospective Case–Control Study in China
Lee et al. Association between allergic rhinitis-related factors and sleep duration in adolescents: Korea National Health and Nutrition Examination Survey V (2010–2012)

Legal Events

Date Code Title Description
A02 Decision of refusal

Free format text: JAPANESE INTERMEDIATE CODE: A02

Effective date: 20040309

A521 Written amendment

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20040510

A911 Transfer of reconsideration by examiner before appeal (zenchi)

Free format text: JAPANESE INTERMEDIATE CODE: A911

Effective date: 20040513

A912 Removal of reconsideration by examiner before appeal (zenchi)

Free format text: JAPANESE INTERMEDIATE CODE: A912

Effective date: 20040604