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Trial record 61 of 1403 for:    Peru

TOURIST 2: Tracking Of Urgent Risks In Swiss Travelers (TOURIST2)

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ClinicalTrials.gov Identifier: NCT03262337
Recruitment Status : Recruiting
First Posted : August 25, 2017
Last Update Posted : October 25, 2017
Sponsor:
Collaborator:
Swiss Tropical & Public Health Institute
Information provided by (Responsible Party):
University of Zurich

Brief 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.


Condition or disease Intervention/treatment
Travel Health Mobile Health Technology (mHealth) Elderly Travelers Chronic Diseased Travelers Risk Behavior Other: none, this is an observational study

Detailed 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.


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Study Type : Observational
Estimated Enrollment : 1000 participants
Observational Model: Cohort
Time Perspective: Prospective
Official Title: An Observational Study Using a Smartphone-app Supported Electronic Survey and Localization Tracking to Map Risk Behaviors and Symptoms of Swiss Travelers to Thailand, China, India, Brazil, Peru and Tanzania From 2 Swiss Travel Clinics
Actual Study Start Date : September 18, 2017
Estimated Primary Completion Date : March 31, 2019
Estimated Study Completion Date : March 31, 2020

Resource links provided by the National Library of Medicine


Group/Cohort Intervention/treatment
Elderly Travelers
approximately 135 travelers with an age >= 60 years will be enrolled
Other: none, this is an observational study
none, this is an observational study

Chronic diseased travelers
approximately 225 travelers with a chronic disease will be enrolled
Other: none, this is an observational study
none, this is an observational study

Healthy travelers
approximately 640 healthy travelers with be enrolled
Other: none, this is an observational study
none, this is an observational study




Primary Outcome Measures :
  1. Self-reported risk behaviors [ Time Frame: for a maximum of 4 weeks during travel ]
    The study participant will report on daily risk behaviors prior to, during and after travel in a daily app-based questionnaire


Secondary Outcome Measures :
  1. Self-reported symptoms [ Time Frame: for a maximum of 4 weeks during travel ]
    The study participant will report on experienced symptoms/health events prior to, during and after travel in a daily app-based questionnaire



Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Sampling Method:   Non-Probability Sample
Study Population

Study recruitment will be conducted at the University of Zurich Travel Clinic and the Travel Clinic at the Swiss Tropical and Public Health Institute.

That means that individuals seeking pre-travel advice at one of the two Travel Clinics will be asked to participate based inclusion criteria defined above.

Furthermore, patients with chronic diseases will be referred to the Travel Clinics by various specialized clinics at the University Hospitals of Zurich and Basel (Gastroenterology, Rheumatology, Pneumology, Cardiology)

Criteria

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


Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03262337


Contacts
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Contact: Silja Bühler, Dr. +41634 ext 4631 silja.buehler@uzh.ch
Contact: Jan Fehr, Prof. Dr. +41634 ext 4621 zrm@ebpi.uzh.ch

Locations
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Switzerland
Andreas Neumayr Recruiting
Basel, Basel Stadt, Switzerland, 4051
Contact: Andreas Neumayr, MD       andreas.neumayr@swisstph.ch   
Contact: Uta Ruscher       uta.ruscher@swisstph.ch   
University of Zurich, Epidemiology, Biostatistics and Prevention Institute, Travel Clinic Recruiting
Zürich, Switzerland, 8001
Contact: Silja Bühler, MD    +4144634 ext 4631    silja.buehler@uzh.ch   
Contact: Jan Fehr, MD, Prof,    +4144634 ext 4621    jan.fehr@uzh.ch   
Sponsors and Collaborators
University of Zurich
Swiss Tropical & Public Health Institute
Investigators
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Principal Investigator: Silja Bühler, Dr. University of Zurich

Publications:
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Responsible Party: University of Zurich
ClinicalTrials.gov Identifier: NCT03262337     History of Changes
Other Study ID Numbers: PB_2017_00412
First Posted: August 25, 2017    Key Record Dates
Last Update Posted: October 25, 2017
Last Verified: October 2017
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No