ICanFunction mHealth Solution (mICF): Development and feasibility study of the first proof of concept [Heidi Anttila (THL, Finland), K Kokko, S Hiekkala, J Paltamaa, P Weckström]
WOMEN EMPLOYMENT IN LATVIA: THE EFFECT OF FLEXICURITY PRINCIPLES INTEGRATED I...Agnese Vaivade
Main research question:
Whether flexicurity increased during economic crisis?
Whether flexibility increased during economic crisis?
- Increase in part-time and fixed-term employment
Whether the part-time employment has increased
because of substitution for full-time employment?
- Involuntary part-time share
Get Personalized! Digital health can improve the lives of people with diabete...Sitra / Hyvinvointi
Digital health can improve the lives of people with diabetes, Anders Weilandt, CEO of Diabetes Tools & Åsa Wallin, Head Nurse of the Diabetes Unit at Astrid Lindgrens Children’s Hospital, Karolinska University Hospital (Sweden)
Challenges and hurdles to implement eHealth in developing countriesMandirola, Humberto
We don't have any doubt today about the importance of eHealth for health. eHealth improves the quality and generates cheaper costs for Health care. However, for various reasons, there are difficulties to implement them especially in developing countries. This research is about studying those difficulties in order to find a way to try to solve them.
The WHO identified the use of eHealth as a priórity.
Poor strategic planning and lack of implementation of international standards consume government budgets without reaching a good result.
We need skills, development of human resources in knowledge in medical informatics, standard terminology and messaging standards.
WOMEN EMPLOYMENT IN LATVIA: THE EFFECT OF FLEXICURITY PRINCIPLES INTEGRATED I...Agnese Vaivade
Main research question:
Whether flexicurity increased during economic crisis?
Whether flexibility increased during economic crisis?
- Increase in part-time and fixed-term employment
Whether the part-time employment has increased
because of substitution for full-time employment?
- Involuntary part-time share
Get Personalized! Digital health can improve the lives of people with diabete...Sitra / Hyvinvointi
Digital health can improve the lives of people with diabetes, Anders Weilandt, CEO of Diabetes Tools & Åsa Wallin, Head Nurse of the Diabetes Unit at Astrid Lindgrens Children’s Hospital, Karolinska University Hospital (Sweden)
Challenges and hurdles to implement eHealth in developing countriesMandirola, Humberto
We don't have any doubt today about the importance of eHealth for health. eHealth improves the quality and generates cheaper costs for Health care. However, for various reasons, there are difficulties to implement them especially in developing countries. This research is about studying those difficulties in order to find a way to try to solve them.
The WHO identified the use of eHealth as a priórity.
Poor strategic planning and lack of implementation of international standards consume government budgets without reaching a good result.
We need skills, development of human resources in knowledge in medical informatics, standard terminology and messaging standards.
1. Who isare the author(s) of this article· McKenzie Griffin, BenitoSumpter862
1. Who is/are the author(s) of this article?
· McKenzie Griffin, Heloisa Cursi Campos, Irina Khramtsova, Amy R. Pearce
2. What is the title of the article?
· Stress and Anxiety Reduction in College Students through Biofeedback
3. What year was this article published?
· 2020
4. What are the 2-3 main things you learned from the introduction?
· Stress and anxiety are within the top five health concerns for college students which lead to mental, emotional, and academic struggles.
· When college students practice mindfulness, it increases levels of coping ability, and it also decreases anxiety levels when paired with meditation.
5. What is one of the articles cited in the introduction? (Refer to it by the authors & the year it was published.)
· Wyner, D. (2015).
6. What is the hypothesis?
· Levels of stress and anxiety would be lower and coping ability levels higher during periods of biofeedback intervention
7. How many participants were in the study?
· Originally 7 but dropped to 4
8. Who were the participants (e.g., college students, infants, etc)?
· Students aged 18-29
9. Were the participants compensated for their participation?
· Not that I saw
10. What was/were the independent variable(s)?
· Periods in where they received intervention or not.
· The biofeedback they used
11. How many levels of the independent variable(s) were there?
· 4 levels
· 2 levels
12. What were the levels of the IV(s)? That is, what groups were people divided into?
· week 1 intervention week 2 no intervention week 3 intervention week 4 intervention
· if they used the device or not
13. What was the dependent variable?
· Stress and anxiety levels
· Coping method levels
14. What materials were used in the study? Did participants complete a survey, use a computer program, were they interviewed, etc?
· The HeartMath Inner Balance Lightning earlobe sensor, Perceived Stress Scale (PSS), Coping Self-Efficacy scale (CSE), Generalized Anxiety Disorder 7-tem scale (GAD-7), iPhone, log sheets
15. Summarize what the participants did.
· Participants were asked to use the device for the first phase of the study and take the same three assessments at the end of that period. In the second phase, the participants didn’t use the device and again completed the assessments. This pattern happened one more time and they took the assessment a final time. Participants returned logs and were provided with new ones each time.
16. What type of research method was used? That is, was it an experiment, a correlational study, an observational study or a case study?
· Repeated measures experiment
17. How was the data analyzed (that is, what statistical analysis was used)?
· They collected the scores on the three scales over the course of the study and compiling the data into individual graphs for each participant
18. Did the author(s) find a significant effect?
· They saw that their anxiety and stress levels decreased significantly and better able to monitor their stress
19. What did you ...
1. Who isare the author(s) of this article· McKenzie Griffin, SantosConleyha
1. Who is/are the author(s) of this article?
· McKenzie Griffin, Heloisa Cursi Campos, Irina Khramtsova, Amy R. Pearce
2. What is the title of the article?
· Stress and Anxiety Reduction in College Students through Biofeedback
3. What year was this article published?
· 2020
4. What are the 2-3 main things you learned from the introduction?
· Stress and anxiety are within the top five health concerns for college students which lead to mental, emotional, and academic struggles.
· When college students practice mindfulness, it increases levels of coping ability, and it also decreases anxiety levels when paired with meditation.
5. What is one of the articles cited in the introduction? (Refer to it by the authors & the year it was published.)
· Wyner, D. (2015).
6. What is the hypothesis?
· Levels of stress and anxiety would be lower and coping ability levels higher during periods of biofeedback intervention
7. How many participants were in the study?
· Originally 7 but dropped to 4
8. Who were the participants (e.g., college students, infants, etc)?
· Students aged 18-29
9. Were the participants compensated for their participation?
· Not that I saw
10. What was/were the independent variable(s)?
· Periods in where they received intervention or not.
· The biofeedback they used
11. How many levels of the independent variable(s) were there?
· 4 levels
· 2 levels
12. What were the levels of the IV(s)? That is, what groups were people divided into?
· week 1 intervention week 2 no intervention week 3 intervention week 4 intervention
· if they used the device or not
13. What was the dependent variable?
· Stress and anxiety levels
· Coping method levels
14. What materials were used in the study? Did participants complete a survey, use a computer program, were they interviewed, etc?
· The HeartMath Inner Balance Lightning earlobe sensor, Perceived Stress Scale (PSS), Coping Self-Efficacy scale (CSE), Generalized Anxiety Disorder 7-tem scale (GAD-7), iPhone, log sheets
15. Summarize what the participants did.
· Participants were asked to use the device for the first phase of the study and take the same three assessments at the end of that period. In the second phase, the participants didn’t use the device and again completed the assessments. This pattern happened one more time and they took the assessment a final time. Participants returned logs and were provided with new ones each time.
16. What type of research method was used? That is, was it an experiment, a correlational study, an observational study or a case study?
· Repeated measures experiment
17. How was the data analyzed (that is, what statistical analysis was used)?
· They collected the scores on the three scales over the course of the study and compiling the data into individual graphs for each participant
18. Did the author(s) find a significant effect?
· They saw that their anxiety and stress levels decreased significantly and better able to monitor their stress
19. What did you ...
Presented at The Fifth National Conference on Medical Informatics and The Annual Meeting of The Thai Medical informatics Association (TMI-NCMedInfo 2017) on November 24, 2017.
Data/AI driven product development: from video streaming to telehealthXavier Amatriain
Healthcare is different from any other application domain, or is it not? While it is true that there are specific aspects, such as high stakes decisions and a complex regulatory framework, that make healthcare somewhat different, it is also the case that many of the lessons learned from building data-driven products in other domains translate remarcably well into healthcare. This is particularly so because healthcare is also a user facing domain, where users can be both patients or healthcare professionals. Given that data has shown to improve user experience while ensuring quality and scalability, few would argue that healthcare cannot benefit from being much more data-driven than it has traditionally been.
In this talk, I described how this experience building impactful data and AI solutions into user facing products for decades can be leveraged to revolutionize telehealth. At Curai, we combine approaches such as state-of-the-art large language models with expert systems in areas such as NLP, vision, and automated diagnosis to augment and scale doctors, and to improve user experience and healthcare outcomes. We will see some of those applications while analyzing the role of data and ML algorithms in making them possible.
mICF Barcelona 002 - Welcome and introductions to mICF partnership workshopStefanus Snyman
Proceedings of the mICF PARTNERSHIP WORKSHOP held on 9-10 October 2014 in Barcelona, Spain. This is an international collaborative of the Functioning and Disability Reference Group of the World Health Organisation’s Family of International Classifications (WHO-FIC) developing a mobile application for the International Classification for Functioning, Disability and Health
HEC 2016 Panel: Putting User-Generated Data in Action: Improving Interpretabi...Pei-Yun Sabrina Hsueh
Chair/Moderator: Pei-Yun Sabrina HSUEH, PhD (IBM T.J. Watson Research Center)
Panelists: XinXin ZHU, Bian YANG, Ying-Kuen CHEUNG , Thomas WETTER, and Sanjoy DEY
a IBM T.J. Watson Research Center, USA
b Norwegian University of Science and Technology, Norway
c Mailman School of Public health, Columbia University, USA
d, Department of Biomedical Informatics, University of Washington, USA
e Department of Medical Informatics, University of Heidelberg, Germany
The rise of consumer health awareness and the recent advent of personal health management tools (including mobile and health wearable devices) have contributed to another shift transforming the healthcare landscape. Despite the rise of health consumers, the impact of user-generated health data remains to be validated. In fact, many applications are hinged on the interpretability issues of this sort of data. The aim of this panel is two-fold. First, this panel aims to review the key dimensions in the interpretability, spanning from quality and reliability to information security and trust management. Secondly, since similar issues and methodologies have been proposed in different application areas ranging from clinical decision support to behavioral interventions and clinical trials, the panelists will also discuss both the success stories and the areas that fall short. The opportunities and barriers identified can then serve as guidelines or action items individuals can bring to their organizations to further improve the interpretability of user-generated data.
Barriers and facilitators to community pharmacy management of people with ost...NIK HADIJAH
Background: Community pharmacists can partner in collaborative management of chronic diseases such as osteoporosis. However, in Malaysia, the involvement of community pharmacists in the provision of osteoporosis care is minimal.
Objectives: To identify the barriers and facilitators faced by Malaysian community pharmacists in providing osteoporosis care.
Methods: Semi-structured one-on-one interviews and focus groups discussions (in groups of 5 participants), were conducted from October 2013 to July 2014. Community pharmacists were purposively sampled based on their years of experience and place of work. One of three trained researchers interviewed the participants using a topic guide. Interviews were recorded and transcribed verbatim. Data were analysed thematically using an interpretative description approach.
Results: Nineteen community pharmacists participated (one-on-one interviews=9, focus group discussions=10). None of the participants had directly provided pharmaceutical care to people with osteoporosis. The main barriers were lack of public awareness (n=17); lack of accurate screening tools for community pharmacists (n=16); lack of knowledge (n=13), time (n=6) and collaboration between pharmacists and doctors (n=14); and lack of support from the government and pharmaceutical society (n=11). The pharmacists wanted more public awareness campaigns on osteoporosis (n=17), more continuing education on osteoporosis (n=11), a simple unbiased osteoporosis management guideline (n=13), inter-professional collaboration (n=18), and reimbursement for osteoporosis care (n=8) to facilitate the provision of osteoporosis care. All participants had equally shared the same view on the barriers and facilitators to provide osteoporosis care.
Conclusions: This study has provided an insight into the barriers and needs of community pharmacists to provide osteoporosis care. The findings may help to develop interventions in supporting community pharmacists to improve osteoporosis care in the community.
his is the first in a series of interactive webinars designed to build capacity in the basic principles of knowledge translation and implementation science.
WATCH-ON DEMAND: https://goo.gl/hnp8gi
5th International Symposium: ICF Education | Conference ProceedingsICF Education
Conference Proceedings of the 5th International Symposium: ICF Education held in 2020
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Similar to ICanFunction mHealth Solution (mICF): Development and feasibility study of the first proof of concept [Heidi Anttila (THL, Finland), K Kokko, S Hiekkala, J Paltamaa, P Weckström]
1. Who isare the author(s) of this article· McKenzie Griffin, BenitoSumpter862
1. Who is/are the author(s) of this article?
· McKenzie Griffin, Heloisa Cursi Campos, Irina Khramtsova, Amy R. Pearce
2. What is the title of the article?
· Stress and Anxiety Reduction in College Students through Biofeedback
3. What year was this article published?
· 2020
4. What are the 2-3 main things you learned from the introduction?
· Stress and anxiety are within the top five health concerns for college students which lead to mental, emotional, and academic struggles.
· When college students practice mindfulness, it increases levels of coping ability, and it also decreases anxiety levels when paired with meditation.
5. What is one of the articles cited in the introduction? (Refer to it by the authors & the year it was published.)
· Wyner, D. (2015).
6. What is the hypothesis?
· Levels of stress and anxiety would be lower and coping ability levels higher during periods of biofeedback intervention
7. How many participants were in the study?
· Originally 7 but dropped to 4
8. Who were the participants (e.g., college students, infants, etc)?
· Students aged 18-29
9. Were the participants compensated for their participation?
· Not that I saw
10. What was/were the independent variable(s)?
· Periods in where they received intervention or not.
· The biofeedback they used
11. How many levels of the independent variable(s) were there?
· 4 levels
· 2 levels
12. What were the levels of the IV(s)? That is, what groups were people divided into?
· week 1 intervention week 2 no intervention week 3 intervention week 4 intervention
· if they used the device or not
13. What was the dependent variable?
· Stress and anxiety levels
· Coping method levels
14. What materials were used in the study? Did participants complete a survey, use a computer program, were they interviewed, etc?
· The HeartMath Inner Balance Lightning earlobe sensor, Perceived Stress Scale (PSS), Coping Self-Efficacy scale (CSE), Generalized Anxiety Disorder 7-tem scale (GAD-7), iPhone, log sheets
15. Summarize what the participants did.
· Participants were asked to use the device for the first phase of the study and take the same three assessments at the end of that period. In the second phase, the participants didn’t use the device and again completed the assessments. This pattern happened one more time and they took the assessment a final time. Participants returned logs and were provided with new ones each time.
16. What type of research method was used? That is, was it an experiment, a correlational study, an observational study or a case study?
· Repeated measures experiment
17. How was the data analyzed (that is, what statistical analysis was used)?
· They collected the scores on the three scales over the course of the study and compiling the data into individual graphs for each participant
18. Did the author(s) find a significant effect?
· They saw that their anxiety and stress levels decreased significantly and better able to monitor their stress
19. What did you ...
1. Who isare the author(s) of this article· McKenzie Griffin, SantosConleyha
1. Who is/are the author(s) of this article?
· McKenzie Griffin, Heloisa Cursi Campos, Irina Khramtsova, Amy R. Pearce
2. What is the title of the article?
· Stress and Anxiety Reduction in College Students through Biofeedback
3. What year was this article published?
· 2020
4. What are the 2-3 main things you learned from the introduction?
· Stress and anxiety are within the top five health concerns for college students which lead to mental, emotional, and academic struggles.
· When college students practice mindfulness, it increases levels of coping ability, and it also decreases anxiety levels when paired with meditation.
5. What is one of the articles cited in the introduction? (Refer to it by the authors & the year it was published.)
· Wyner, D. (2015).
6. What is the hypothesis?
· Levels of stress and anxiety would be lower and coping ability levels higher during periods of biofeedback intervention
7. How many participants were in the study?
· Originally 7 but dropped to 4
8. Who were the participants (e.g., college students, infants, etc)?
· Students aged 18-29
9. Were the participants compensated for their participation?
· Not that I saw
10. What was/were the independent variable(s)?
· Periods in where they received intervention or not.
· The biofeedback they used
11. How many levels of the independent variable(s) were there?
· 4 levels
· 2 levels
12. What were the levels of the IV(s)? That is, what groups were people divided into?
· week 1 intervention week 2 no intervention week 3 intervention week 4 intervention
· if they used the device or not
13. What was the dependent variable?
· Stress and anxiety levels
· Coping method levels
14. What materials were used in the study? Did participants complete a survey, use a computer program, were they interviewed, etc?
· The HeartMath Inner Balance Lightning earlobe sensor, Perceived Stress Scale (PSS), Coping Self-Efficacy scale (CSE), Generalized Anxiety Disorder 7-tem scale (GAD-7), iPhone, log sheets
15. Summarize what the participants did.
· Participants were asked to use the device for the first phase of the study and take the same three assessments at the end of that period. In the second phase, the participants didn’t use the device and again completed the assessments. This pattern happened one more time and they took the assessment a final time. Participants returned logs and were provided with new ones each time.
16. What type of research method was used? That is, was it an experiment, a correlational study, an observational study or a case study?
· Repeated measures experiment
17. How was the data analyzed (that is, what statistical analysis was used)?
· They collected the scores on the three scales over the course of the study and compiling the data into individual graphs for each participant
18. Did the author(s) find a significant effect?
· They saw that their anxiety and stress levels decreased significantly and better able to monitor their stress
19. What did you ...
Presented at The Fifth National Conference on Medical Informatics and The Annual Meeting of The Thai Medical informatics Association (TMI-NCMedInfo 2017) on November 24, 2017.
Data/AI driven product development: from video streaming to telehealthXavier Amatriain
Healthcare is different from any other application domain, or is it not? While it is true that there are specific aspects, such as high stakes decisions and a complex regulatory framework, that make healthcare somewhat different, it is also the case that many of the lessons learned from building data-driven products in other domains translate remarcably well into healthcare. This is particularly so because healthcare is also a user facing domain, where users can be both patients or healthcare professionals. Given that data has shown to improve user experience while ensuring quality and scalability, few would argue that healthcare cannot benefit from being much more data-driven than it has traditionally been.
In this talk, I described how this experience building impactful data and AI solutions into user facing products for decades can be leveraged to revolutionize telehealth. At Curai, we combine approaches such as state-of-the-art large language models with expert systems in areas such as NLP, vision, and automated diagnosis to augment and scale doctors, and to improve user experience and healthcare outcomes. We will see some of those applications while analyzing the role of data and ML algorithms in making them possible.
mICF Barcelona 002 - Welcome and introductions to mICF partnership workshopStefanus Snyman
Proceedings of the mICF PARTNERSHIP WORKSHOP held on 9-10 October 2014 in Barcelona, Spain. This is an international collaborative of the Functioning and Disability Reference Group of the World Health Organisation’s Family of International Classifications (WHO-FIC) developing a mobile application for the International Classification for Functioning, Disability and Health
HEC 2016 Panel: Putting User-Generated Data in Action: Improving Interpretabi...Pei-Yun Sabrina Hsueh
Chair/Moderator: Pei-Yun Sabrina HSUEH, PhD (IBM T.J. Watson Research Center)
Panelists: XinXin ZHU, Bian YANG, Ying-Kuen CHEUNG , Thomas WETTER, and Sanjoy DEY
a IBM T.J. Watson Research Center, USA
b Norwegian University of Science and Technology, Norway
c Mailman School of Public health, Columbia University, USA
d, Department of Biomedical Informatics, University of Washington, USA
e Department of Medical Informatics, University of Heidelberg, Germany
The rise of consumer health awareness and the recent advent of personal health management tools (including mobile and health wearable devices) have contributed to another shift transforming the healthcare landscape. Despite the rise of health consumers, the impact of user-generated health data remains to be validated. In fact, many applications are hinged on the interpretability issues of this sort of data. The aim of this panel is two-fold. First, this panel aims to review the key dimensions in the interpretability, spanning from quality and reliability to information security and trust management. Secondly, since similar issues and methodologies have been proposed in different application areas ranging from clinical decision support to behavioral interventions and clinical trials, the panelists will also discuss both the success stories and the areas that fall short. The opportunities and barriers identified can then serve as guidelines or action items individuals can bring to their organizations to further improve the interpretability of user-generated data.
Barriers and facilitators to community pharmacy management of people with ost...NIK HADIJAH
Background: Community pharmacists can partner in collaborative management of chronic diseases such as osteoporosis. However, in Malaysia, the involvement of community pharmacists in the provision of osteoporosis care is minimal.
Objectives: To identify the barriers and facilitators faced by Malaysian community pharmacists in providing osteoporosis care.
Methods: Semi-structured one-on-one interviews and focus groups discussions (in groups of 5 participants), were conducted from October 2013 to July 2014. Community pharmacists were purposively sampled based on their years of experience and place of work. One of three trained researchers interviewed the participants using a topic guide. Interviews were recorded and transcribed verbatim. Data were analysed thematically using an interpretative description approach.
Results: Nineteen community pharmacists participated (one-on-one interviews=9, focus group discussions=10). None of the participants had directly provided pharmaceutical care to people with osteoporosis. The main barriers were lack of public awareness (n=17); lack of accurate screening tools for community pharmacists (n=16); lack of knowledge (n=13), time (n=6) and collaboration between pharmacists and doctors (n=14); and lack of support from the government and pharmaceutical society (n=11). The pharmacists wanted more public awareness campaigns on osteoporosis (n=17), more continuing education on osteoporosis (n=11), a simple unbiased osteoporosis management guideline (n=13), inter-professional collaboration (n=18), and reimbursement for osteoporosis care (n=8) to facilitate the provision of osteoporosis care. All participants had equally shared the same view on the barriers and facilitators to provide osteoporosis care.
Conclusions: This study has provided an insight into the barriers and needs of community pharmacists to provide osteoporosis care. The findings may help to develop interventions in supporting community pharmacists to improve osteoporosis care in the community.
his is the first in a series of interactive webinars designed to build capacity in the basic principles of knowledge translation and implementation science.
WATCH-ON DEMAND: https://goo.gl/hnp8gi
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My invited talk at AI*AAL.IT - November 16th, 2017
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Certification and classification (coding) of Covid-19 as cause of death based ICF Education
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4th International Symposium ICF EducationICF Education
يستند المؤتمر الدولي الرابع للتوعية بالتصنيف الدولي للأداء والإعاقة والصحة على المؤتمر الأول والذي عقد في فنلندا عام 2015، والثاني في جنوب أفريقيا عام 2017 والثالث في هامبورج عام 2018.
يهدف المؤتمر إلى تجمع المختصين من جميع أنحاء العالم والمهتمين بتدريس او استخدام التصنيف الدولي للأداء والإعاقة والصحة في مجال الإحصاءات والإدارات الصحية، والممارسات الإكلينيكية والتعليم مثل (التعليم المهني والبحث العلمي) وتنميتها.
ويعد التعاون والمشاركة بين الجهات المعنية أمرا هاما، حيث من المتوقع أن يتبادل جميع المشاركين تجاربهم (سواء من خلال عرض الملخصات أو غيرها) وتبادل الخبرات، فالمشاركة أمر مطلوب.
سيتم نشر العروض التقديمية التي تم قبولها على الموقع الإلكتروني
www.ICFEducation.org
المكان: مدينة الكويت، الكويت (سيتم الإعلان عن المقر قريبا)
المستضيف: وزارة الصحة – الكويت
التكاليف: المؤتمر مجاني ويتضمن الوجبات الخفيفة خلال الاستراحات ووجبة الغداء.
المشاركون مسؤولون عن تكاليف النقل والإقامة والوجبات الأخرى.
التأشيرة: سوف تنظم الوزارة المستضيفة التأشيرة الخاصة بك.
لذلك يجب تحميل صفحة المعلومات في جواز سفرك عند التسجيل.
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This Third International Symposium: ICF Education builds on the first held in Finland in 2015 and the second in South Africa in 2017. The aim is to bring together people from around the world who are using the International Classification of Functioning, Disability and Health (ICF) in clinical practice, research and teaching.
The Third International Symposium: ICF Education will enable participants to share their experiences and learn from each other. Active participation from all delegates is encouraged and expected!
Call for Abstracts: The Symposium Organising Committee of the Third International Symposium: ICF Education is also calling for abstracts for posters. Selected posters will be invited to be presented as brief oral presentations. Accepted posters and presentations will be posted on www.ICFEducation.org and www.icf-research-branch.org.
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THEME: ICF-related data: the new frontier of individualised, predictive healthcare
http://www.icfeducation.org
26: Nurse practitioners focus on health care in terms of cure and care: Analy...ICF Education
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THEME: ICF-related data: the new frontier of individualised, predictive healthcare
http://www.icfeducation.org
27: FunctionMapper: Content development tool for the mICF mHealth Solution [S...ICF Education
oster presentation at the 2nd International Symposium: ICF Education. 30 June 2017 (Cape Town).
THEME: ICF-related data: the new frontier of individualised, predictive healthcare
http://www.icfeducation.org
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oster presentation at the 2nd International Symposium: ICF Education. 30 June 2017 (Cape Town).
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http://www.icfeducation.org
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Poster presentation at the 2nd International Symposium: ICF Education. 30 June 2017 (Cape Town).
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http://www.icfeducation.org
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Poster presentation at the 2nd International Symposium: ICF Education. 30 June 2017 (Cape Town).
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http://www.icfeducation.org
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Poster presentation at the 2nd International Symposium: ICF Education. 30 June 2017 (Cape Town).
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http://www.icfeducation.org
13: Development, test and systematic description of two complex interventions...ICF Education
Poster presentation at the 2nd International Symposium: ICF Education. 30 June 2017 (Cape Town).
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http://www.icfeducation.org
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There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
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Defecation
Normal defecation begins with movement in the left colon, moving stool toward the anus. When stool reaches the rectum, the distention causes relaxation of the internal sphincter and an awareness of the need to defecate. At the time of defecation, the external sphincter relaxes, and abdominal muscles contract, increasing intrarectal pressure and forcing the stool out
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Normal defecation is painless, resulting in passage of soft, formed stool
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ICanFunction mHealth Solution (mICF): Development and feasibility study of the first proof of concept [Heidi Anttila (THL, Finland), K Kokko, S Hiekkala, J Paltamaa, P Weckström]
1. @icfmobile
”I would use it, if it was
connected to many services”
Report in Finnish:
Anttila, H, Kokko K, Hiekkala S, Weckström P, Paltamaa
J. Asiakaslähtöinen Toimintakykyni-sovellus. Kehittäminen ja
käytettävyystutkimus. Helsinki: Kela, Työpapereita 119, 2017.
http://hdl.handle.net/10138/187061
Anttila et al. 201730.6.2017
2. @icfmobile
ICanFunction prototype -
users' experiences from a
feasibility study
yypistä
Heidi ANTTILA, Kaisa KOKKO, Jaana PALTAMAA, Petteri
WECKSTRÖM, Sinikka HIEKKALA
with
The International mICF Partnership
Social Insurance Institution (Kela), Finland
KKRL 12 § funded project DNRO 147/331/2015
30.6.2017 Anttila et al. 2017
3. Why to develop mICF?
• Many people experience
frustrations in getting
their voice and needs
heard in social and
health systems
• These steps are time
consuming and
repeated in every health
visit
• Recent developments in
digitalisation could enable
mobile collection of
data directly from user
for utilization in health
information systems.
30.6.2017 Anttila et al. 2017
Photo:FinnishAssociationforPeoplewithPhysicalDisabilities
4. @icfmobile
Aim
1. To develop a person-centered mobile
prototype to assess functioning
(ICanFunction, mICF)
Based on descriptive and structured data (ICF)
Reliable and valid patient reported outcomes
measures: PROMIS with population references
2. To evaluate the user experience of the
prototype
Anttila et al. 201730.6.2017
5. @icfmobile
Methods
1. Agile
• The user interface was designed with adults (n=47) and
children (n=11) in several iterative service design workshops
• The ’lay language’ content was gathered from several
sources
• The PROMIS Adult Physical Function 8-item short form was
chosen (translated into Finnish)
• A content metadatabase ’FunctionMapper’ was taken into
use: it mappes the lay content and measures into ICF
2. UX testing and feasibility evaluation
• Children (n=11), youth and adults (n=19) downloaded the
prototype app into their phones and tables and tested it for a
week. Then they were interviewed.
30.6.2017 Anttila et al. 2017
6. Need for social
and health
services
Knowledge
about the app
Installing
the app
Starting
the self-
report
Customizing
settings
Continuing
self-report
Sending a
summary
Connection to
PHR
Using the data in
services
Continuing to do
self-report
App
registration
See the whole mICF Adult User’s Path in Slideshare
The mICF user path for adult
users
@ICFmobile 6
8. Scroll to choose topics
The adult’s
version included
19 topics.
The children’s
version had 11
topics.
30.6.2017 Anttila et al. 2017
9. Describe issues, that
are important to you
The issues (ICF
categories in lay
language) were
organised by ICF
chapters.
• The adult’s
version had
170 different
issues on
functioning and
environmental
factors
• 39 issues in the
children’s
version.
30.6.2017 Anttila et al. 2017
11. Example: PROMIS measure
The PROMIS short forms
are based on a calibrated
and standardised item
banks.
The prototype included
Adult Physical Function
8-item short form.
30.6.2017 Anttila et al. 2017
12. My data summary
Descriptive data
For each topic & issue
(if populated):
• date
• answer
• written/spoken text
• photo
Measured data
The PROMIS
• total score,
• interpretation
regarding to the
population
reference,
• list of items and
reponses
30.6.2017 Anttila et al. 2017
PROMIS Physical
function
Your score: 33
Moderate impairment.
20 % of the population
receive scores under 40.
Answered items:
Household schores much
difficulty
Run errands and shop
little difficulty
Walk for 15 minutes
Some difficulty
13. The content is brought from
the FunctionMapper
• TheTerm Editor is software tool, developed in THL for
editing and publishing information structures, ontologies
and terminologies.
• FunctionMapper is the tool for mICF content editor. It is
built in Term editor. It’s relation model links user needs,
natural language and instruments to the ICF.
@ICFmobile 13
14. How I could describe
”my life situation”- user experience
• The user could well describe their current
situation
• The app was very concrete
• The user found relevant issues
Anttila et al. 2017
I felt that - to illustrate the whole picture -
it is important to get data on all issues not
just on those which are difficult.
I selected issues that
are meaningful for
me rigth now.
I filled in all
my issues at
once.
I evaluated my situation
slowly during a week.
15 min - 6 h
30.6.2017
15. Usefulness – user experience
• I would use it if it were connected to many
services!
The patient history for health
checks would be easy to do
this way, no need to write.
I could use it for long term
monitoring! During a year or longer I
could just click those issues to see
how my situation is changing in time.
Hey, these are the very
questions that are posed to me
in every single health care visit.
It would be good if the answers
were readily available for the
physician. In the PHR or
something.
30.6.2017 Anttila et al. 2017
16. @icfmobile
• The children were exited! More colors and pictures!
Children’s experiences
Just
nice!
Nice!
It was easy!
Not difficult.
I did not
understand
some words.
I understood
everything.
I did not
need
help.
30.6.2017 Anttila et al. 2017
17. Ease of use – user experience
• All users said it was easy to use, nobody needed
any help!
• I would use, but it need to be developed more!
Anttila et al. 2017
A preselection of issues
would be nice, so that I
could find all relevant
questions to myself.
There should
have been a
possibility to
compare days
I wish more
functionalities to
the summary, e.g.
visual traking on
how many items
one has answered.
But, days can be different: in
one day some questions are
relevant, but next day other
questions.
Or to be able to report the
same issue in several days
e.g. pain may fluctuate daily.
30.6.2017
18. Acceptability
• They would use it if…
• there was a short introduction or tutorial
• the social and health workers would ask to use it
• it was utilized in many different places
7,6 8
Would you recommend to your friend?
0=no, I don’t recomment to anybody, 10=I would definitively recommend
Yes!
30.6.2017 Anttila et al. 2017
19. Described issues by
ICF domains
• The adults chose and used 124 different
issues.
Body functions (50%) Activities and participation (43%)
Environmental factors (7%)
30.6.2017 Anttila et al. 2017
20. What did the adults
describe?
• The adults described 4-37 issues (mean 22,8)
• 29% no difficulty; 20% great difficulty/cannot do.
Described issues
by ICF categories
Mental functions Moving Pain, senses Musculoskeletal
Interaction and relationships Self care
Cardiovascular, respiratory
30.6.2017 Anttila et al. 2017
21. What did the children
describe?
• Children described
6-25 issues
(mean 17/child)
– Only one issue was not
used at all: medication
• 83% goes well or
very well
Goes well (83%) I need help (17%)
30.6.2017 Anttila et al. 2017
22. @icfmobile
Conclusions
• The users accepted the mICF idea - it is
worth to develop further
• Need to be connected to services so that…
• Patients can easily and clearly describe their
own individual life situation.
• Professionals get a structured summary for
shared desicion making, goal setting and
service planning
30.6.2017
23. @icfmobile
Next steps
• The prototype need to be developed to fully
functional and audited application for users and
professionals.
– Development needs identified by the users
– Content understandability
– More languages and PROMs
– Connections to PHR and health information
systems
• Sustainable business case development to utilize
open source code
– Availability for users (Appstore, Playshop)
– Maintenance & continuous development
30.6.2017 Anttila et al. 2017
24. @icfmobile
Thank you!
More information: www.ICFmobile.org
Partners
Collaborators
Funding
International mICF
partnership
www.ICFmobile.org
30.6.2017 Anttila et al. 2017