NCT02717169

Brief 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.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
35

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Mar 2016

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

March 1, 2016

Completed
10 days until next milestone

First Submitted

Initial submission to the registry

March 11, 2016

Completed
12 days until next milestone

First Posted

Study publicly available on registry

March 23, 2016

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2016

Completed
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2016

Completed
Last Updated

March 23, 2016

Status Verified

March 1, 2016

Enrollment Period

4 months

First QC Date

March 11, 2016

Last Update Submit

March 22, 2016

Conditions

Sedentary LifestyleInsomnia

Keywords

health promotionhealth action processactivity trackersleep regulation

Outcome Measures

Primary Outcomes (3)

  • Physical activity levels

    Number of steps recorded from the Activity tracker

    5 months

  • light sleep length

    Daily duration of light sleep in hours

    5 months

  • deep sleep length

    \- Daily duration of deep sleep in hours

    5 months

Secondary Outcomes (1)

  • eHealth literacy quantity

    5 months

Study Arms (1)

Biometrical Tracker

OTHER

The participants are equipped with an wrist watch. The activity tracker measures biometrical information like, steps, sleep duration and heart rate.

Device: Biometrical tracker

Interventions

Biometrical trackerDEVICE

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.

Biometrical Tracker

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age over 18 years
  • University Students

You may not qualify if:

  • none

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The University of Hong Kong

Hong Kong, 000, Hong Kong

RECRUITING

Related Publications (14)

  • Bonwell, C.& J. A. Eison,J. (1991). Active Learning: Creating Excitement in the Classroom. ASHEERIC Higher Education Report No. 1. George Washington University.

    BACKGROUND

  • Brown, J., Collins, A, Dugid, P. (1998). Situated cognition and the culture of learning. Educational Researcher.18:32-42.

    BACKGROUND

  • Creswell, W.J. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA: Sage Publications.

    BACKGROUND

  • Flyvbjerg, B (2006). Five misunderstandings about case-study research. Qualitative Inquiry 12(2): 219-45.

    BACKGROUND

  • Janesick, V.J. (2000). The choreography of qualitative research design. In N.K. Denzin & Y.S. Lincoln (Eds.), Handbook of qualitative research (2nd ed., pp. 379-399). Thousand Oaks, CA: Sage Publications.

    BACKGROUND

  • Savolainen, J. (1994). The rationality of drawing big conclusions based on small samples. Social Forces 72: 1217-24.

    BACKGROUND

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

    BACKGROUND

  • 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.

    BACKGROUND

  • Small, M. (2009). How many cases do I need? On science and the logic of case selection in field-based research. Ethnography 10(1): 5-38.

    BACKGROUND

  • 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.

    BACKGROUND

  • 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.

    PMID: 22155629BACKGROUND

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

    BACKGROUND

  • 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 .

    BACKGROUND

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

    BACKGROUND

MeSH Terms

Conditions

Sedentary BehaviorSleep Initiation and Maintenance Disorders

Condition Hierarchy (Ancestors)

BehaviorSleep Disorders, IntrinsicDyssomniasSleep Wake DisordersNervous System DiseasesMental Disorders

Central Study Contacts

Tanja Sobko, PhD

CONTACT

+85251816160tsobko@hku.hk

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
PREVENTION
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

March 11, 2016

First Posted

March 23, 2016

Study Start

March 1, 2016

Primary Completion

July 1, 2016

Study Completion

December 1, 2016

Last Updated

March 23, 2016

Record last verified: 2016-03

Locations

HK(1)