CN111091903A - Recommendation system for genetic disease risk probability assessment and blocking or improving method - Google Patents
Recommendation system for genetic disease risk probability assessment and blocking or improving method Download PDFInfo
- Publication number
- CN111091903A CN111091903A CN201911278709.7A CN201911278709A CN111091903A CN 111091903 A CN111091903 A CN 111091903A CN 201911278709 A CN201911278709 A CN 201911278709A CN 111091903 A CN111091903 A CN 111091903A
- Authority
- CN
- China
- Prior art keywords
- disease
- user
- information
- risk probability
- genetic
- 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
Links
- 208000026350 Inborn Genetic disease Diseases 0.000 title claims abstract description 29
- 208000016361 genetic disease Diseases 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000000903 blocking effect Effects 0.000 title claims abstract description 15
- 201000010099 disease Diseases 0.000 claims abstract description 59
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 59
- 238000012252 genetic analysis Methods 0.000 claims abstract description 6
- 230000006872 improvement Effects 0.000 claims abstract description 5
- 238000012216 screening Methods 0.000 claims description 14
- 230000036541 health Effects 0.000 claims description 10
- 230000006399 behavior Effects 0.000 claims description 9
- 230000000391 smoking effect Effects 0.000 claims description 8
- 208000017667 Chronic Disease Diseases 0.000 claims description 7
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims description 7
- 241000208125 Nicotiana Species 0.000 claims description 4
- 235000002637 Nicotiana tabacum Nutrition 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 4
- 230000002068 genetic effect Effects 0.000 description 15
- 206010012601 diabetes mellitus Diseases 0.000 description 3
- 206010018367 Glomerulonephritis chronic Diseases 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- 208000007848 Alcoholism Diseases 0.000 description 1
- 201000004569 Blindness Diseases 0.000 description 1
- 208000028782 Hereditary disease Diseases 0.000 description 1
- 206010058467 Lung neoplasm malignant Diseases 0.000 description 1
- 208000024556 Mendelian disease Diseases 0.000 description 1
- 208000028872 Progressive muscular dystrophy Diseases 0.000 description 1
- 201000007930 alcohol dependence Diseases 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000019504 cigarettes Nutrition 0.000 description 1
- 238000009223 counseling Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 230000035622 drinking Effects 0.000 description 1
- 208000013810 inherited porphyria Diseases 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 201000005202 lung cancer Diseases 0.000 description 1
- 208000020816 lung neoplasm Diseases 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
Images
Classifications
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- 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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- General Business, Economics & Management (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The embodiment of the invention provides a recommendation system for a genetic disease risk probability assessment and blocking or improvement method, which enables relatives to complete data filling on line by collecting collection pages shared by the users to the relatives, so that a genetic analysis module can generate a family graph according to personal basic information of the users, basic information of family members of the users and disease information of the family members of the users, and presume the risk probability that the users are inherited to the disease according to the family graph. The embodiment of the invention can enable the user to conveniently acquire the information of the relatives, thereby more conveniently knowing the risk probability of the disease left by the user and saving medical resources.
Description
Technical Field
The invention belongs to the field of health management, and particularly relates to a recommendation system for a genetic disease risk probability assessment and blocking or improving method.
Background
At present, genetic consultation is a process of providing individuals and families with the nature, genetic mode and influence of genetic diseases by professionals, and carefully collecting and analyzing personal and family disease histories is the basis for genetic consultation, but the links of family history collection, family mapping, genetic risk assessment and the like in the genetic consultation become barriers for restricting the development of the genetic consultation.
At present, the prior art can collect basic information of a user and genetic medical history among family members through a computer and conjecture the genetic probability of the user, but the inventor finds that the method is difficult to popularize universally, and the reason is that one user often cannot know the genetic medical history of all the family members, so that the user needs to make a call to inquire relatives one by one, and the method is unfamiliar to many people. Meanwhile, after knowing the genetic probability, the user cannot know which better medical resources exist for the disease at the same time.
Disclosure of Invention
The invention aims to provide a recommendation system for a genetic disease risk probability assessment and blocking or improvement method.
In order to solve the above technical problem, an embodiment of the present invention provides a recommendation system for a genetic disease risk probability assessment and blocking or improving method, including:
the acquisition module is used for acquiring personal basic information input by a user, basic information input by family members of the user and disease information of the family members; the family member basic information and the family member disease information of the user are input through a page shared by the user;
the genetic analysis module is used for generating a family map according to the personal basic information input by the user, the basic information input by the family members of the user and the disease information of the family members of the user, and analyzing the disease risk probability corresponding to the disease type of the user according to the family map;
the generating module is used for generating a health analysis report according to the type of the user suffering from the disease and the disease risk probability corresponding to the type of the disease;
the display module is used for displaying the health analysis report;
and the recommending module is used for recommending corresponding hospital information according to the health analysis report and the screening request.
Further, the system for evaluating, blocking or improving the risk probability of the genetic disease further comprises a behavior analysis module, which is used for analyzing the disease type of the user and the corresponding disease risk probability of the disease type according to the behavior information input by the user; wherein the behavior information comprises daily smoking amount, daily alcohol consumption amount, tobacco age and alcohol age.
Further, the acquisition module is further configured to acquire chronic disease information of the user, and recommend recipe information, physical examination time intervals, and corresponding hospital information to the user according to the chronic disease information.
Further, the collection module is also used for collecting environmental information, displaying weather forecast information to the user and recommending wearing information to the user according to the environmental information.
Further, the system for recommending risk probability for genetic disease assessment and blocking or improvement method further comprises a positioning module for positioning a terminal device applying the system for recommending risk probability for genetic disease assessment and blocking or improvement method.
Further, the screening request includes: and screening hospitals within a preset range around the geographic position of the user terminal.
Further, the screening request further includes: and screening the hospitals bound by the users.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, the collection page shared by the user to the relatives is collected, so that the relatives can complete the data filling on line, the genetic analysis module can generate the family map according to the personal basic information of the user, the basic information of the family members of the user and the disease information of the family members of the user, and the probability that the user is left on the disease is presumed according to the family map. The embodiment of the invention can enable the user to conveniently acquire the information of the relatives, thereby more conveniently knowing the probability of the disease left by the user and saving medical resources.
Drawings
Fig. 1 is a block diagram of a recommendation system for a genetic disease risk probability assessment and blocking or improving method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a recommendation system for a genetic disease risk probability assessment and blocking or improving method, including:
the acquisition module 11 is used for acquiring personal basic information input by a user, basic information input by family members of the user and disease information of the family members; the family member basic information and the family member disease information of the user are input through a page shared by the user.
The information acquired by the acquisition module 11 specifically includes: gender of the user, gender of family members of the user, illness of each family member to the same disease, and relationship among family members (including the user).
It should be understood that a family map can be drawn through family investigation, i.e. collecting the personal basic information of the user, the basic information of the family members of the user and the disease information of the family members of the user through the collecting module 11, and the family map can display the transmission characteristics of a certain disease in the family, thereby judging whether the disease is a hereditary disease and the hereditary way of the disease. The family survey is the primary step and basis for accurate genetic counseling. The hereditary way of a disease is judged according to the transmission characteristics of the disease in the family.
And the genetic analysis module 12 is configured to generate a family map according to the personal basic information, the user family member basic information, and the user family member disease information, and analyze the disease risk probability corresponding to the disease type of the user according to the family map.
Generating a family graph according to the personal basic information, the user family member basic information and the user family member disease information, and analyzing the disease type of the user and the disease risk probability corresponding to the disease type according to the family graph, specifically:
matching a corresponding genetic calculation mode according to a certain disease input by a user to realize the analysis of the generated family chart and calculate the probability of suffering from the disease; the types of diseases and the corresponding genetic calculation modes are stored in a memory or a cloud server in advance.
The genetic mode of the monogenic genetic disease can be judged by the genetic relationship of the middle-sized patients is as follows:
(1) autosomal dominant genetic diseases. Such as hereditary porphyria.
(2) Autosomal recessive genetic disease.
(3) Sex linked dominant genetic diseases such as: hereditary chronic nephritis
(4) Sexually linked recessive genetic diseases. Such as: progressive muscular dystrophy, red-green blindness.
Hereditary chronic nephritis is taken as an example. If father is sick, 100% of the born daughter is sick, while the son is normal. If the mother is ill, then both children and women have a 50% chance of being ill.
And the generating module 13 is configured to generate a health analysis report according to the type of the disease of the user and the disease risk probability corresponding to the type of the disease.
And a display module 14 for displaying the health analysis report.
And the recommending module 15 is used for recommending corresponding hospital information according to the health analysis report and the screening request. Wherein the hospital information includes: the medical information comprises the name of a hospital, the category of the hospital, the grade of the hospital and doctor information corresponding to the hospital, wherein the doctor information is introduction information of a doctor treating the disease category.
In a specific embodiment, the system for recommending risk probability for genetic disease further includes a positioning module, configured to position a terminal device to which the system for recommending risk probability for genetic disease is applied. The screening request includes: and screening hospitals within a preset range around the geographical position of the user terminal or screening hospitals bound by the user.
According to the embodiment of the invention, the collection page shared by the user to the relatives is collected, so that the relatives can complete the data filling on line, the genetic analysis module 12 can generate the family map according to the personal basic information of the user, the basic information of the family members of the user and the disease information of the family members of the user, and the risk probability that the user is left on the disease is presumed according to the family map. The embodiment of the invention can enable the user to conveniently acquire the information of the relatives, thereby more conveniently knowing the risk probability of the disease left by the user and saving medical resources.
In one preferred embodiment, the system for recommending the method for evaluating, blocking or improving the risk probability of the genetic disease further comprises a behavior analysis module, configured to analyze the disease type of the user and the disease risk probability corresponding to the disease type according to behavior information input by the user; wherein the behavior information comprises daily smoking amount, daily alcohol consumption amount, tobacco age and alcohol age.
For example, in addition to a strong correlation with lung cancer, smoking has also been shown in related studies to correlate positively the index of smoking with the development of diabetes. According to the Japanese study, it is confirmed that people who smoke more than 15 cigarettes per day have a 3.3 times higher probability of developing diabetes than people who do not smoke, while people with longer smoking age have a higher probability of developing diabetes.
By analyzing and calculating the drinking amount, the smoking amount, the tobacco age and the alcohol age, the type of the illness of the user and the illness risk probability corresponding to the type of the illness can be presumed, and corresponding hospital information is recommended to the user, so that the harmfulness of smoking and alcoholism of the user can be reminded, and the user is reminded to go to a proper hospital for examination, and the state of the illness can be found in advance.
In a preferred embodiment, the collecting module 11 is further configured to collect chronic disease information of the user, and recommend recipe information, physical examination time interval, and corresponding hospital information to the user according to the chronic disease information.
By recommending corresponding menu information to the user according to different chronic disease information, the user can reasonably arrange own diet and condition the body.
In one preferred embodiment, the collection module 11 is further configured to collect environment information, and display weather forecast information to the user and recommend wearing information to the user according to the environment information.
In the embodiment, the weather information can provide the attention items such as traveling and wearing for the user, and the probability of illness caused by the fact that the user does not know weather changes in time is reduced.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (7)
1. A recommendation system for a genetic disease risk probability assessment and blocking or improvement method is characterized by comprising the following steps:
the acquisition module is used for acquiring personal basic information input by a user, basic information input by family members of the user and disease information of the family members; the family member basic information and the family member disease information of the user are input through a page shared by the user;
the genetic analysis module is used for generating a family map according to the personal basic information input by the user, the basic information input by the family members of the user and the disease information of the family members of the user, and analyzing the disease risk probability corresponding to the disease type of the user according to the family map;
the generating module is used for generating a health analysis report according to the type of the user suffering from the disease and the disease risk probability corresponding to the type of the disease;
the display module is used for displaying the health analysis report;
and the recommending module is used for recommending corresponding hospital information according to the health analysis report and the screening request.
2. The system for recommending risk probability for genetic disease according to claim 1, further comprising a behavior analysis module for analyzing the disease type of the user and the corresponding disease risk probability of the disease type according to the behavior information inputted by the user; wherein the behavior information comprises daily smoking amount, daily alcohol consumption amount, tobacco age and alcohol age.
3. The system for recommending risk probability for genetic disease as claimed in claim 1, wherein said system is characterized in that said system comprises
The acquisition module is also used for acquiring the chronic disease information of the user and recommending the recipe information, the physical examination time interval and the corresponding hospital information to the user according to the chronic disease information.
4. The system for recommending risk probability for genetic disease according to claim 1, wherein the collecting module is further configured to collect environmental information, and display weather forecast information to the user and recommend wearing information to the user according to the environmental information.
5. The genetic disease risk probability assessment and blocking or improving method recommendation system according to any one of claims 1 to 4, further comprising a positioning module for positioning a terminal device to which the genetic disease risk probability assessment and blocking or improving method recommendation system is applied.
6. The system for recommending risk probability for genetic disease as claimed in claim 5, wherein said screening request comprises: and screening hospitals within a preset range around the geographic position of the user terminal.
7. The system for recommending risk probability for genetic disease as claimed in claim 1, wherein said screening request further comprises: and screening out the hospitals bound by the users.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911278709.7A CN111091903A (en) | 2019-12-12 | 2019-12-12 | Recommendation system for genetic disease risk probability assessment and blocking or improving method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911278709.7A CN111091903A (en) | 2019-12-12 | 2019-12-12 | Recommendation system for genetic disease risk probability assessment and blocking or improving method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111091903A true CN111091903A (en) | 2020-05-01 |
Family
ID=70395538
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911278709.7A Pending CN111091903A (en) | 2019-12-12 | 2019-12-12 | Recommendation system for genetic disease risk probability assessment and blocking or improving method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111091903A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111671651A (en) * | 2020-08-11 | 2020-09-18 | 浙江大学 | Medication reminding method based on mobile medical networking |
| CN113380406A (en) * | 2021-04-28 | 2021-09-10 | 航天医疗健康科技集团有限公司 | Disease risk intelligent assessment method and device |
| CN113593630A (en) * | 2021-08-23 | 2021-11-02 | 北京果壳生物科技有限公司 | Family coronary heart disease risk assessment and risk factor identification system |
| CN117095820A (en) * | 2023-10-18 | 2023-11-21 | 查理高特(青岛)健康科技有限公司 | Risk early warning method and equipment for family gout |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102419791A (en) * | 2010-09-28 | 2012-04-18 | 上海人类基因组研究中心 | Method for estimating genetic risk of human common diseases |
| CN102999686A (en) * | 2011-09-19 | 2013-03-27 | 上海煜策信息科技有限公司 | Health management system and implementation method thereof |
| TW201428523A (en) * | 2013-01-11 | 2014-07-16 | Jean Fuh | Method of establishing prevention of familial inherited disease |
| CN105868564A (en) * | 2016-04-05 | 2016-08-17 | 苏州联康网络有限公司 | Disease treatment hospital recommendation system |
| CN106485056A (en) * | 2016-09-22 | 2017-03-08 | 河北中兴网信软件科技有限公司 | Online diagnosis and treatment method and device |
| CN108549795A (en) * | 2018-03-13 | 2018-09-18 | 刘吟 | Genetic counselling information system based on pedigree chart frame |
| CN108665970A (en) * | 2018-05-15 | 2018-10-16 | 天津摩嵌动力技术有限公司 | A kind of digital medical health monitoring systems based on network integration of services |
| CN110097946A (en) * | 2019-03-01 | 2019-08-06 | 西安电子科技大学 | A kind of dietary recommendations continued method based on Analysis of Nutritive Composition |
| CN110120263A (en) * | 2019-04-11 | 2019-08-13 | 周凡 | A kind of healthy auxiliary system for acquiring and analyzing based on health and fitness information |
-
2019
- 2019-12-12 CN CN201911278709.7A patent/CN111091903A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102419791A (en) * | 2010-09-28 | 2012-04-18 | 上海人类基因组研究中心 | Method for estimating genetic risk of human common diseases |
| CN102999686A (en) * | 2011-09-19 | 2013-03-27 | 上海煜策信息科技有限公司 | Health management system and implementation method thereof |
| TW201428523A (en) * | 2013-01-11 | 2014-07-16 | Jean Fuh | Method of establishing prevention of familial inherited disease |
| CN105868564A (en) * | 2016-04-05 | 2016-08-17 | 苏州联康网络有限公司 | Disease treatment hospital recommendation system |
| CN106485056A (en) * | 2016-09-22 | 2017-03-08 | 河北中兴网信软件科技有限公司 | Online diagnosis and treatment method and device |
| CN108549795A (en) * | 2018-03-13 | 2018-09-18 | 刘吟 | Genetic counselling information system based on pedigree chart frame |
| CN108665970A (en) * | 2018-05-15 | 2018-10-16 | 天津摩嵌动力技术有限公司 | A kind of digital medical health monitoring systems based on network integration of services |
| CN110097946A (en) * | 2019-03-01 | 2019-08-06 | 西安电子科技大学 | A kind of dietary recommendations continued method based on Analysis of Nutritive Composition |
| CN110120263A (en) * | 2019-04-11 | 2019-08-13 | 周凡 | A kind of healthy auxiliary system for acquiring and analyzing based on health and fitness information |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111671651A (en) * | 2020-08-11 | 2020-09-18 | 浙江大学 | Medication reminding method based on mobile medical networking |
| CN111671651B (en) * | 2020-08-11 | 2020-11-17 | 浙江大学 | Medication reminding method based on mobile medical networking |
| CN113380406A (en) * | 2021-04-28 | 2021-09-10 | 航天医疗健康科技集团有限公司 | Disease risk intelligent assessment method and device |
| CN113380406B (en) * | 2021-04-28 | 2024-05-31 | 航天医疗健康科技集团有限公司 | Disease risk intelligent evaluation method and device |
| CN113593630A (en) * | 2021-08-23 | 2021-11-02 | 北京果壳生物科技有限公司 | Family coronary heart disease risk assessment and risk factor identification system |
| CN117095820A (en) * | 2023-10-18 | 2023-11-21 | 查理高特(青岛)健康科技有限公司 | Risk early warning method and equipment for family gout |
| CN117095820B (en) * | 2023-10-18 | 2024-01-23 | 查理高特(青岛)健康科技有限公司 | Risk early warning method and equipment for family gout |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cho et al. | The relationship between physical health and psychological well‐being among oldest‐old adults | |
| Popova et al. | The economic burden of fetal alcohol spectrum disorder in Canada in 2013 | |
| CN111091903A (en) | Recommendation system for genetic disease risk probability assessment and blocking or improving method | |
| Jang et al. | Menstrual cycle effects on mental health outcomes: a meta-analysis | |
| Bazarian et al. | Ethnic and racial disparities in emergency department care for mild traumatic brain injury | |
| Landau et al. | Ethical aspects of using GPS for tracking people with dementia: recommendations for practice | |
| Andren et al. | The relationship between caregiver burden, caregivers’ perceived health and their sense of coherence in caring for elders with dementia | |
| Brown et al. | Women's steps of change and entry into drug abuse treatment: A multidimensional stages of change model | |
| Barron et al. | Marital status, social support, and loneliness in visually impaired elderly people | |
| Parasuraman et al. | Health care utilization and unmet need among youth with special health care needs | |
| Shearer et al. | Health state values for use in the economic evaluation of treatments for Alzheimer’s disease | |
| Zhang et al. | A study in persons later after stroke of the relationships between social participation, environmental factors and depression | |
| Hesse-Biber et al. | Genetic testing and post-testing decision making among BRCA-positive mutation women: A psychosocial approach | |
| Sándor et al. | Influence of patient characteristics on preventive service delivery and general practitioners’ preventive performance indicators: A study in patients with hypertension or diabetes mellitus from Hungary | |
| Chamberlain et al. | Have mental health education programs influenced the mental health literacy of those with major depression and suicidal ideation? A comparison between 1998 and 2008 in South Australia | |
| Mauro et al. | Discussing drug use with health care providers is associated with perceived need and receipt of drug treatment among adults in the United States: We need to talk | |
| Lawlor et al. | The Edmonton Classification System for Cancer Pain: a tool with potential for an evolving role in cancer pain assessment and management | |
| Wong et al. | A discrete choice experiment to examine the preferences of patients with cancer and their willingness to pay for different types of health care appointments | |
| Umesawa et al. | Relationships among drinking and smoking habits, history of diseases, body mass index and idiopathic sudden sensorineural hearing loss in Japanese patients | |
| O'Neill et al. | Referral to cancer genetic counseling: are there stages of readiness? | |
| Appleton et al. | Untreated hypertension: prevalence and patient factors and beliefs associated with under-treatment in a population sample | |
| Farin et al. | Predictors of communication preferences in patients with chronic low back pain | |
| Brew-Sam et al. | Differential influences of social support on app use for diabetes self-management–a mixed methods approach | |
| Din et al. | Prevalence and factors associated with depressive symptoms in Malay women | |
| Gessesse et al. | The nexus between physician-patient communication and health outcomes: level of patient communication satisfaction and its impact on adherence in Ethiopian comprehensive specialized hospitals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |