scholarly journals Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study

10.2196/28116 ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. e28116
Author(s):  
Bastian Greshake Tzovaras ◽  
Enric Senabre Hidalgo ◽  
Karolina Alexiou ◽  
Lukaz Baldy ◽  
Basile Morane ◽  
...  
Keyword(s):  
Tracking System ◽  
Large Population ◽  
Population Based ◽  
Wearable Devices ◽  
Sensor Data ◽  
User Engagement ◽  
Quantified Self ◽  
Web Based ◽  
Iterative Development ◽  
High Level

Background Wearables have been used widely for monitoring health in general, and recent research results show that they can be used to predict infections based on physiological symptoms. To date, evidence has been generated in large, population-based settings. In contrast, the Quantified Self and Personal Science communities are composed of people who are interested in learning about themselves individually by using their own data, which are often gathered via wearable devices. Objective This study aims to explore how a cocreation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system for monitoring symptoms of infection alongside wearable sensor data. Methods We engaged in a cocreation and design process with an existing community of personal science practitioners to jointly develop a working prototype of a web-based tool for symptom tracking. In addition to the iterative creation of the prototype (started on March 16, 2020), we performed a netnographic analysis to investigate the process of how this prototype was created in a decentralized and iterative fashion. Results The Quantified Flu prototype allowed users to perform daily symptom reporting and was capable of presenting symptom reports on a timeline together with resting heart rates, body temperature data, and respiratory rates measured by wearable devices. We observed a high level of engagement; over half of the users (52/92, 56%) who engaged in symptom tracking became regular users and reported over 3 months of data each. Furthermore, our netnographic analysis highlighted how the current Quantified Flu prototype was a result of an iterative and continuous cocreation process in which new prototype releases sparked further discussions of features and vice versa. Conclusions As shown by the high level of user engagement and iterative development process, an open cocreation process can be successfully used to develop a tool that is tailored to individual needs, thereby decreasing dropout rates.

scholarly journals Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study (Preprint)

2021 ◽  
Author(s):  
Bastian Greshake Tzovaras ◽  
Enric Senabre Hidalgo ◽  
Karolina Alexiou ◽  
Lukaz Baldy ◽  
Basile Morane ◽  
...  
Keyword(s):  
Tracking System ◽  
Large Population ◽  
Population Based ◽  
Wearable Devices ◽  
Sensor Data ◽  
User Engagement ◽  
Quantified Self ◽  
Web Based ◽  
Iterative Development ◽  
High Level

BACKGROUND Wearables have been used widely for monitoring health in general, and recent research results show that they can be used to predict infections based on physiological symptoms. To date, evidence has been generated in large, population-based settings. In contrast, the Quantified Self and Personal Science communities are composed of people who are interested in learning about themselves individually by using their own data, which are often gathered via wearable devices. OBJECTIVE This study aims to explore how a cocreation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system for monitoring symptoms of infection alongside wearable sensor data. METHODS We engaged in a cocreation and design process with an existing community of personal science practitioners to jointly develop a working prototype of a web-based tool for symptom tracking. In addition to the iterative creation of the prototype (started on March 16, 2020), we performed a netnographic analysis to investigate the process of how this prototype was created in a decentralized and iterative fashion. RESULTS The Quantified Flu prototype allowed users to perform daily symptom reporting and was capable of presenting symptom reports on a timeline together with resting heart rates, body temperature data, and respiratory rates measured by wearable devices. We observed a high level of engagement; over half of the users (52/92, 56%) who engaged in symptom tracking became regular users and reported over 3 months of data each. Furthermore, our netnographic analysis highlighted how the current Quantified Flu prototype was a result of an iterative and continuous cocreation process in which new prototype releases sparked further discussions of features and vice versa. CONCLUSIONS As shown by the high level of user engagement and iterative development process, an open cocreation process can be successfully used to develop a tool that is tailored to individual needs, thereby decreasing dropout rates. CLINICALTRIAL

scholarly journals Quantified Flu: an individual-centered approach to gaining sickness-related insights from wearable data

2021 ◽  
Author(s):  
Bastian Greshake Tzovaras ◽  
Enric Senabre Hidalgo ◽  
Karolina Alexiou ◽  
Lukaz Baldy ◽  
Basille Morane ◽  
...  
Keyword(s):  
Tracking System ◽  
Large Population ◽  
Population Based ◽  
Wearable Devices ◽  
Sensor Data ◽  
User Engagement ◽  
Online Tool ◽  
Creation Process ◽  
Iterative Development ◽  
High Level

AbstractBackgroundWearables have been used widely for monitoring health in general and recent research results show that they can be used for predicting infections based on physiological symptoms. So far the evidence has been generated in large, population-based settings. In contrast, the Quantified Self and Personal Science communities are comprised of people interested in learning about themselves individually using their own data, often gathered via wearable devices.ObjectiveWe explore how a co-creation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system to monitor symptoms of infection alongside wearable sensor data.MethodsWe engaged into a co-creation and design process with an existing community of personal science practitioners, jointly developing a working prototype of an online tool to perform symptom tracking. In addition to the iterative creation of the prototype (started on March 16, 2020), we performed a netnographic analysis, investigating the process of how this prototype was created in a decentralized and iterative fashion.ResultsThe Quantified Flu prototype allows users to perform daily symptom reporting and is capable of visualizing those symptom reports on a timeline together with the resting heart rate, body temperature and respiratory rate as measured by wearable devices. We observe a high level of engagement, with over half of the 92 users that engaged in the symptom tracking becoming regular users, reporting over three months of data each. Furthermore, our netnographic analysis highlights how the current Quantified Flu prototype is a result of an interactive and continuous co-creation process in which new prototype releases spark further discussions of features and vice versa.ConclusionsAs shown by the high level of user engagement and iterative development, an open co-creation process can be successfully used to develop a tool that is tailored to individual needs, decreasing dropout rates.

scholarly journals 0154 A new, efficient web-based tool to collect and code lifetime job histories in large population-based studies: the COPD project in the UK Biobank cohort

2014 ◽  
Vol 71 (Suppl 1) ◽  
pp. A19.1-A19
Author(s):  
Sara De Matteis ◽  
Lesley Rushton ◽  
Debbie Jarvis ◽  
Magda Wheatley ◽  
Hadia Azhar ◽  
...  
Keyword(s):  
Large Population ◽  
Population Based ◽  
Uk Biobank ◽  
Web Based ◽  
The Uk

A new web-based tool to collect and code lifetime job-histories in large population-based studies

2015 ◽  
Author(s):  
Sara De Matteis ◽  
Debbie Jarvis ◽  
Magda Wheatley ◽  
Alan Young ◽  
Heather Young ◽  
...  
Keyword(s):  
Large Population ◽  
Population Based ◽  
Web Based

Evaluating end of life care: The Quality Oncology Practice Initiative (QOPI) experience

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 8573-8573 ◽  
Author(s):  
M. N. Neuss ◽  
J. O. Jacobson ◽  
C. Earle ◽  
C. E. Desch ◽  
K. McNiff ◽  
...  
Keyword(s):  
End Of Life ◽  
Cancer Patients ◽  
Population Based ◽  
Administrative Databases ◽  
Self Assessment ◽  
Web Based ◽  
Oncology Practice ◽  
High Level ◽  
Eol Care

8573 Background: Little is known about the quality of end-of-life (EOL) care provided to cancer patients, with data largely available only from administrative databases. QOPI is a practice-based system of quality self-assessment now available to any ASCO physician wishing to participate. QOPI methodology allows comparison of EOL care among practices and provides a basis for self-improvement. Methods: In Summer 2005, during the pilot phase of QOPI, several EOL questions were included in the survey instrument. Practices were requested to review the records of at least 15 patients who had died. Practice members performed standardized chart abstractions and data were entered directly on to a secure web-based application. A total of 455 charts were abstracted from 22 practices. Results: See table. Conclusion : QOPI provides an effective mechanism for collecting practice-specific EOL data. Aggregate data from the 22 QOPI pilot practices demonstrate a high level of performance compared with results reported from population-based studies. Significant variation among practices is present, representing an opportunity to improve the EOL care of cancer patients. [Table: see text] No significant financial relationships to disclose.

Feasibility of Using Web-based Questionnaires in Large Population-based Epidemiological Studies

2006 ◽  
Vol 21 (2) ◽  
pp. 103-111 ◽  
Author(s):  
Alexandra Ekman ◽  
Paul W. Dickman ◽  
Åsa Klint ◽  
Elisabete Weiderpass ◽  
Jan-Eric Litton
Keyword(s):  
Large Population ◽  
Epidemiological Studies ◽  
Population Based ◽  
Web Based

scholarly journals Occupational self-coding and automatic recording (OSCAR): a novel web-based tool to collect and code lifetime job histories in large population-based studies

2016 ◽  
Vol 43 (2) ◽  
pp. 181-186 ◽  
Author(s):  
Sara De Matteis ◽  
Deborah Jarvis ◽  
Heather Young ◽  
Alan Young ◽  
Naomi Allen ◽  
...  
Keyword(s):  
Large Population ◽  
Population Based ◽  
Automatic Recording ◽  
Web Based

scholarly journals Knowledge, Attitude, and Practice (KAP) toward the Novel Coronavirus (COVID-19) Pandemic in a Saudi Population-Based Survey

2021 ◽  
Vol 18 (10) ◽  
pp. 5286
Author(s):  
Abdulrahman H. Alqahtani ◽  
Saleh A. Alqahtani ◽  
Abdullah S. Alhodaib ◽  
Ahmed M. Al-Wathinani ◽  
Amin Daoulah ◽  
...  
Keyword(s):  
Population Based ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Herbal Products ◽  
Web Based ◽  
Education And Awareness ◽  
Level Of Knowledge ◽  
Novel Coronavirus ◽  
Saudi Arabians ◽  
High Level

Background: The Coronavirus Disease 2019 (COVID-19) outbreak has affected all regions and countries with varying impacts based on infection rates and the associated fatalities. This study aimed to assess knowledge, attitude, and practices (KAP) toward the COVID-19 pandemic among Saudi Arabians. Methods: The study utilized a cross-sectional research design. Web-based questionnaires’ link was sent via emails and social media and sample was 5483 respondents. Purposive sampling ensured only those participants that met the inclusion criteria. Validity and reliability were checked. Results: Most respondents, 67.9%, were aged between 18 and 35 years and highest level of education university. The findings based on the study objectives indicated a high level of knowledge about COVID-19, which indicated early detection can improve treatment by 4701 (85.7%), the disease can be treated at home 84.6%, the disease can be prevented and avoided when precautions are taken 96.8%. Moreover, 37.2% of the respondents still used herbal products to prevent and treat the disease, and 72.1% indicating immediate visit the physician when there are symptoms. Conclusion: Promoting public knowledge about COVID-19 by the Ministry of Health is paramount in defeating this disease. Providing more education and awareness for public to comply with WHO’s recommendation is recommended.

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