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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03262337
Other study ID # PB_2017_00412
Secondary ID
Status Completed
Phase
First received
Last updated
Start date September 18, 2017
Est. completion date March 31, 2021

Study information

Verified date October 2017
Source University of Zurich
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

New mobile Health (mHealth) technology creates an opportunity to approach travel medicine research in a different way, revolutionising our understanding of risks to travellers. Using mHealth technology, the Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), developed a TRAVEL app in collaboration with the Eidgnössische Technische Hochschule (ETH) Zurich. By using this new technology, an extensive collection of data (prospective collection of individual travel behaviour and experienced health events, mapping the travel itinerary via global positioning system (GPS), linking to publicly available local weather data and data on disease endemicity) can be combined and an unprecedented abundance of information on travel behaviour and experienced risks can be obtained. These data will allow a much better understanding of travel risk profiles using cluster analysis. By simultaneously recording health outcomes, the relationship between travel risk profiles and health events can be assessed. In this study, the investigators will address several major shortcomings in travel health in tropical and subtropical destinations by improving the understanding of poorly assessed and potentially underestimated health threats (e.g. risk of accidents and injury, mental health disorders), and travel risks specific to elderly travellers and travellers with chronic conditions. These findings will directly feed back into individual travel advice given by practitioners in Switzerland and finally world-wide.


Description:

New mobile Health (mHealth) technology creates an opportunity to approach travel medicine research in a different way, revolutionising our understanding of risks to travellers. Using mHealth technology, the Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich (UZH), developed a TRAVEL app in collaboration with the Eidgnössische Technische Hochschule (ETH) Zurich. By using this new technology, an extensive collection of data (prospective collection of individual travel behaviour and experienced health events, mapping the travel itinerary via global positioning system (GPS), linking to publicly available local weather data and data on disease endemicity) can be combined and an unprecedented abundance of information on travel behaviour and experienced risks can be obtained. These data will allow a much better understanding of travel risk profiles using cluster analysis. By simultaneously recording health outcomes, the relationship between travel risk profiles and health events can be assessed. In this study, the investigators will address several major shortcomings in travel health in tropical and subtropical destinations by improving the understanding of poorly assessed and potentially underestimated health threats (e.g. risk of accidents and injury, mental health disorders), and travel risks specific to elderly travellers and travellers with chronic conditions. 1000 clients traveling to Thailand, China, India, Brazil, Peru or Tanzania will be recruited from the Travel Clinics in Zurich and Basel and through advertising at local travel agents and the universities of ETH and UZH from September 2017 until February 2019. After completing an intake at the clinic, participants will be given the option to use their own Smartphone for data collection, or to use a phone owned by the UZH-EBPI during travel. Participants will use a data collection app for questionnaire responses during and after travel including: a daily questionnaire on travel behaviors, daily symptoms questionnaire, and localization tracking, showing the participants' travel path and locations.


Recruitment information / eligibility

Status Completed
Enrollment 793
Est. completion date March 31, 2021
Est. primary completion date March 31, 2019
Accepts healthy volunteers
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Informed Consent - Traveler to Thailand, China, India, Brazil, Peru or Tanzania - German-speaking (level 3 or higher) - Literate (able to read and write in German - level 3 or higher) - Capable of operating Smartphone application for data collection - Traveling to Thailand, China, India, Brazil, Peru or Tanzania for = 4 weeks Exclusion Criteria: - not fulfilling inclusion criteria

Study Design


Related Conditions & MeSH terms


Intervention

Other:
none, this is an observational study
none, this is an observational study

Locations

Country Name City State
Switzerland Andreas Neumayr Basel Basel Stadt
Switzerland University of Zurich, Epidemiology, Biostatistics and Prevention Institute, Travel Clinic Zürich

Sponsors (2)

Lead Sponsor Collaborator
University of Zurich Swiss Tropical & Public Health Institute

Country where clinical trial is conducted

Switzerland, 

References & Publications (1)

Farnham A, Blanke U, Stone E, Puhan MA, Hatz C. Travel medicine and mHealth technology: a study using smartphones to collect health data during travel. J Travel Med. 2016 Sep 4;23(6). pii: taw056. doi: 10.1093/jtm/taw056. Print 2016 Jun. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Self-reported risk behaviors The study participant will report on daily risk behaviors prior to, during and after travel in a daily app-based questionnaire for a maximum of 4 weeks during travel
Secondary Self-reported symptoms The study participant will report on experienced symptoms/health events prior to, during and after travel in a daily app-based questionnaire for a maximum of 4 weeks during travel
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