Promoting Health Knowledge Among University Students

Insomnia Clinical Trial

Official title:

Promoting Health Knowledge Among University Students by Using Personal Biometric Information

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT02717169
• Other study ID #: AT-2016
• Status: Recruiting
• Phase: N/A
• First received: March 11, 2016
• Last updated: March 22, 2016
• Start date: March 2016
• Est. completion date: December 2016

Study information

• Verified date: March 2016
• Source: The University of Hong Kong
• Contact: Tanja Sobko, PhD
• Phone: +85251816160
• Email: tsobko[@]hku.hk
• Is FDA regulated: No
• Health authority: Hong Kong: Ethics Committee
• Study type: Interventional

Clinical Trial Summary

Background: The interactions between human beings and wearable technology like activity trackers equipped with biometric sensors can be linked to health related new learning concepts/instructional methods supporting deep knowledge acquisition, situated, self-regulated and active learning. This personalized, long term interactions where specific information is pushed to the learner contributes to deepen the personal understanding related to the concept of and knowledge about health and has an impact on long term health action process.

Design and methods: In order to understand the behavioural change process, a multiple case study including 35 higher education students in Hong Kong from an undergraduate course, BSc Exercise and Health is currently conducted. Each student uses a wearable device (activity tracker) over a period of five months, reflects weekly on emerging personal data, documents their thinking and action in the ePortfolio, and engages in an online forum. The participants enter their experiences with the biometric data, lifestyle adaptations (e.g. more steps), special situations (e.g. hike, heart rate changes during activity) and how these experiences lead to specific searches and actions on the web and/or in their real social network. The ePortfolio will allow the students to critically reflect on their progress and for the researchers to intervene at any time on the issues related to the participants' postings. EHealth literacy is used as indicator for the health action process of the participants. Evidence regarding change in eHealth at the beginning and end of the intervention will be collected with a standard questionnaire detecting eHealth their literacy scale.

Scope: By reflecting on the information from their personal activity tracker and documenting it in their own ePortfolio, the students will continuously learn to analyse, search and critically assess health related personal and available digital information, organize it, present and discuss it with peers/tutor. This in turn will enhance critical thinking, raise questions about health related topics, stimulate further inquiry deepen their knowledge about personal health, inducing a healthier lifestyle.

Description:

Introduction

Bridging the know-do gap is one of the most important challenges for public health in this century. It also poses the greatest opportunity for strengthening health systems.

Health knowledge, or education, refers to the knowledge and understanding individual have about health-related issues. It is important to understand benefits for health and the causes of ill-health and recognize the extent to which they are vulnerable to, or at risk from, a health threat. In other words, knowledge is a necessary component of behavioral change .

Health knowledge is an important but not sufficient factor in order to provoke a behavioral change toward a healthier life style. Knowing that something is beneficial or a risk to your health and perceiving it as a chance or threat are not the same. Schwarzer proposes the Health Action Process Approach for helping to bridge the know - do gap underlining the importance of adoption, initiation, and maintenance of health behaviors conceived of as a structured process including a motivation phase and a volition phase. The proposed study fosters acquisition and maintenance of health behaviors like activity in form of amount of steps performed during a day, sleeping behavior and monitoring of the heart rate.

The context in which the described interactions between human beings and the wearable technology takes place, can be linked to learning concepts and instructional methods like knowledge building, situated, self-regulated and active learning. In situated learning it is important to create a meaning from the real activities of daily living where learning can also occur in an informal setting and connects prior knowledge to new contexts. According to recent reserach researchers, a selfregulated student is a student who is metacognitively, motivationally, and behaviorally engaged in its own learning processes and in achieving its own goals. Active learning refers to any instructional method that engages students (actively) in the learning process. Active learning requires students to do meaningful learning activities and to reflect what they are doing. Reserachers describe Knowledge building by an activity resulting in the creation or modification of so called public knowledge, knowledge that lives 'in the world' and is available to be worked on.

Wearable technologies can also provide a vehicle and act as motivator for the effective use of IT tools and resources from the internet and other information and media channels. Students' learn to work with their own, real data delivered over a long period of time, and through these experiences they may become more critical about encountered information deriving from other sources and so develop literacies related to the use of digital information in order to enhance their health. This literacy is called eHealth literacy.

eHealth literacy is not well developed for students in higher education. Wearable technologies like wristwatch trackers open an opportunity for development of new literacies and especially eHealth literacy by delivering in real-time, situated, personal information. Having access to these data and critically using it will stimulate individuals' interests in health issues and mediate deployment of interacting new literacies while locating and engaging with health information resources.

Methodology:

Procedure and data collection

To understand the qualitative aspect of the changes in eHealth literacy semi-structured interviews pre and post intervention will be conducted on a sub-group of 35 students.

During one academic semester 35 students from the course: 'Physical Activity and health' will be recruited. Participants will be asked to sign ethic clearance and the consent to participate to the study including the permission to publish the results of the study after anonymizing provenience of the collected data. Students of a higher education institution in Hong Kong aged 18 years and above. To understand eHealth literacy development in higher education in Hong Kong an existing ePortfolio tool will be used. Each of the participants will use a wearable device over a period of five month (1 semester), reflect on emerging personal data, document their thinking and share and communicate to other participants (optional) in their ePortfolio. The ePortfolio will allow the researchers to intervene at any time and to ask questions related to the participants reflections. Evidence regarding change in eHealth literacy at the beginning and end of the intervention will be collected with a well-established questionnaire. The same questionnaire will be used for Pre and Post intervention. Interviews and data from reflections and forum posts will be analyzed and triangulated to understand emerging issues influencing the development of eHealth literacy. After establishing a case report for each of the participants a cross-case analysis will be performed.

The participants will be asked to reflect weekly about their use of the trackers. It will enable participants to enter their experiences with the biometric data, like relevance of difference sensor data, lifestyle adaptations (like e.g. more sleep), special situations (e.g. hike, changes in heart rate during activity) and how these experiences lead to specific searches and actions in the web and/or in their real social network. Students will be able to publish different formats of reflections as text, hyperlinks to health related web pages and images. The quality of the materials, collected and published within the ePortfolio tool, has been shown to improve during the previously conducted pilot work during the development of this tool. The created ePortfolio is expected to provide a fundamental platform for meaningful and sustainable interaction between the students and the teacher in the continuous construction of knowledge towards any undergraduate programmes' intended learning outcomes. It is expected to enhance the metacognition of own learning through repeated reflection. This will be assessed as suggested previously. Students have access to all their reflections and can retrieve past events of their reflective ePortfolio, described above.

Study design and methodology

The presented research will employ a multi case methodology study to explicate the affordances of wearable trackers, as they emerge from the ten students using this technology. The study will constitute an inductive, hypotheses generating naturalistic inquiry, whose aim is to accumulate an understanding and propose recommendations relevant to the study context. It will focus on the larger picture, the whole picture, and begin with a search for understanding of the whole. The research findings will provide a broad picture of the events taking place in particular contexts, allowing readers to draw their own conclusions. The sample size of the presented study, conducted over 5 months with an exemplary group of 35 students across the four key areas, is sufficiently large for a multi case methodology study. The interview data will be collected by a research assistant and by the principal investigator. The questionnaire data will be collected by the research assistants. The data from the tracker (individual reflections and biometric data) will automatically be recorded into a database. Interview and questionnaire will take place at the University, 30 minutes for each interview, 20 minutes for each questionnaire (1 hours and 40 minutes for each participant). A consistency technique will be applied across the 35 cases to allow comparability. The adopted case study methodology is adequate for retrieving a well rooted set of arguments and recommendations related to the learning process performed by the 35 students during the intervention related to eHealth literacy.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 35
• Est. completion date: December 2016
• Est. primary completion date: July 2016
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: Both
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Age over 18 years

• University Students

Exclusion Criteria:

Study Design

Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Prevention

Related Conditions & MeSH terms

• Insomnia
• Sedentary Lifestyle

Intervention

Device:
• Biometrical tracker
35 participants are wearing a activity, sleep and heart rate tracker day and night time over a period of 5 month. The wrist watch is equipped with accelerometer, heart rate monitor using oximetry sensor, 3 led lights and vibrating alarm. The tracker is connected over Bluetooth with a smartphone App displaying the measured values and permitting to show different statistics related to amount of steps, sleep duration and heart rate over days, weeks and months.

Locations

Country	Name	City	State
Hong Kong	The University of Hong Kong	Hong Kong

Sponsors (2)

Lead Sponsor	Collaborator
The University of Hong Kong	PHBern, University of Teacher Education Bern, Switzerland

Country where clinical trial is conducted

Hong Kong, 

References & Publications (14)

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Scardamalia, M. & Bereiter, C. (2003). Knowledge Building. In Encyclopedia of Education. (2nd ed., pp. 1370-1373). New York: Macmillan Reference, USA.

Schwarzer, R. (2008). Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology: An International Review, 57(1), 1-29.

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Stake, R. (2003). Case studies. In N. K. Denzin & Y. S. Lincoln (Eds.), Strategies of qualitative inquiry (2nd Ed., pp. 134-164). Thousand Oaks, CA: Sage.

Stellefson M, Hanik B, Chaney B, Chaney D, Tennant B, Chavarria EA. eHealth literacy among college students: a systematic review with implications for eHealth education. J Med Internet Res. 2011 Dec 1;13(4):e102. doi: 10.2196/jmir.1703. Review. — View Citation

WHO (2006). Bridging the "Know-Do" Gap Meeting on Knowledge Translation in Global Health. Organized by the Departments of: Knowledge Management and Sharing (KMS) Research Policy and Cooperation (RPC). http://www.who.int/kms/WHO_EIP_KMS_2006_2.pdf .

Yin, R.K. (1989). Case study research: design and methods. Newbury Park, CA: Sage.

Zimmerman, B., & Schunk, D. (2001). Self-regulated learning and academic achievement: Theoretical perspectives. Mahwah, NJ: Lawrence Erlbaum Associates.

* Note: There are 14 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Physical activity levels	Number of steps recorded from the Activity tracker	5 months	No
Primary	light sleep length	Daily duration of light sleep in hours	5 months	No
Primary	deep sleep length	- Daily duration of deep sleep in hours	5 months	No
Secondary	eHealth literacy quantity	validated questionnaire pre and post intervention	5 months	No