The Ready-to-Go Questionnaire predicts health outcomes during travel: a smartphone application-based analysis.


Journal

Journal of travel medicine
ISSN: 1708-8305
Titre abrégé: J Travel Med
Pays: England
ID NLM: 9434456

Informations de publication

Date de publication:
05 Sep 2023
Historique:
received: 14 07 2023
revised: 24 08 2023
medline: 5 9 2023
pubmed: 5 9 2023
entrez: 5 9 2023
Statut: aheadofprint

Résumé

The Ready-To-Go (R2G) Questionnaire is a tool for rapid assessment of health risks for travel consultation. This study aims to assess the utility of the R2G Questionnaire in identifying high-risk travellers and predicting health events and behaviour during travel in the TOURIST2 prospective cohort. TOURIST2 data were used to calculate the R2G medical and travel risk scores and categorize each participant based on their risk. The TOURIST2 study enrolled 1000 participants from Switzerland's largest travel clinics between 2017-2019. Participants completed daily smartphone application surveys before, during, and after travel on health events and behaviours. We used regression models to analyse incidence of overall health events and of similar health events grouped into health domains (e.g. respiratory, gastrointestinal, accident/injury). Incidence rate ratios (IRR) are displayed with 95% confidence intervals (95%CI). R2G high-risk travellers experienced significantly greater incidence of health events compared to lower-risk travellers (IRR = 1.27, 95%CI:1.22-1.33). Both the medical and travel scores showed significant positive associations with incidence of health events during travel (IRR = 1.11, 95%CI:1.07-1.16; IRR = 1.07, 95%CI:1.03-1.12 respectively), with significant increases in all health domains except skin disorders. Medical and travel risk scores were associated with different patterns in behaviour. Travellers with chronic health conditions accessed medical care during travel more often (IRR = 1.16, 95%CI:1.03-1.31), had greater difficulty in carrying out planned activities (IRR = -0.04, 95%CI:-0.05,-0.02), and rated their travel experience lower (IRR = -0.04, 95%CI:-0.06,-0.02). Travellers with increased travel-related risks due to planned travel itinerary had more frequent animal contact (IRR = 1.09, 95%CI:1.01-1.18) and accidents/injuries (IRR = 1.28, 95%CI:1.15-1.44). The R2G Questionnaire is a promising risk assessment tool that offers a timesaving and reliable means to identify high-risk travellers. Incorporated into travel medicine websites, it could serve as a pre-consultation triage to help travellers self-identify their risk level, direct them to the appropriate medical provider(s), and help practitioners in giving more tailored advice.

Sections du résumé

BACKGROUND BACKGROUND
The Ready-To-Go (R2G) Questionnaire is a tool for rapid assessment of health risks for travel consultation. This study aims to assess the utility of the R2G Questionnaire in identifying high-risk travellers and predicting health events and behaviour during travel in the TOURIST2 prospective cohort.
METHODS METHODS
TOURIST2 data were used to calculate the R2G medical and travel risk scores and categorize each participant based on their risk. The TOURIST2 study enrolled 1000 participants from Switzerland's largest travel clinics between 2017-2019. Participants completed daily smartphone application surveys before, during, and after travel on health events and behaviours. We used regression models to analyse incidence of overall health events and of similar health events grouped into health domains (e.g. respiratory, gastrointestinal, accident/injury). Incidence rate ratios (IRR) are displayed with 95% confidence intervals (95%CI).
RESULTS RESULTS
R2G high-risk travellers experienced significantly greater incidence of health events compared to lower-risk travellers (IRR = 1.27, 95%CI:1.22-1.33). Both the medical and travel scores showed significant positive associations with incidence of health events during travel (IRR = 1.11, 95%CI:1.07-1.16; IRR = 1.07, 95%CI:1.03-1.12 respectively), with significant increases in all health domains except skin disorders. Medical and travel risk scores were associated with different patterns in behaviour. Travellers with chronic health conditions accessed medical care during travel more often (IRR = 1.16, 95%CI:1.03-1.31), had greater difficulty in carrying out planned activities (IRR = -0.04, 95%CI:-0.05,-0.02), and rated their travel experience lower (IRR = -0.04, 95%CI:-0.06,-0.02). Travellers with increased travel-related risks due to planned travel itinerary had more frequent animal contact (IRR = 1.09, 95%CI:1.01-1.18) and accidents/injuries (IRR = 1.28, 95%CI:1.15-1.44).
CONCLUSIONS CONCLUSIONS
The R2G Questionnaire is a promising risk assessment tool that offers a timesaving and reliable means to identify high-risk travellers. Incorporated into travel medicine websites, it could serve as a pre-consultation triage to help travellers self-identify their risk level, direct them to the appropriate medical provider(s), and help practitioners in giving more tailored advice.

Identifiants

pubmed: 37669125
pii: 7260577
doi: 10.1093/jtm/taad117
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of International Society of Travel Medicine.

Auteurs

Julian D Maier (JD)

Department of Public & Global Health, Division of Infectious Diseases, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Alexia Anagnostopoulos (A)

Department of Public & Global Health, Division of Infectious Diseases, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Anna Gazzotti (A)

Department of Public & Global Health, Division of Infectious Diseases, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Silja Bühler (S)

Division of Hygiene and Infectious Diseases, Institute of Hygiene and Environment, Hamburg, Germany.

Vasiliki Baroutsou (V)

Department of Public & Global Health, Division of Infectious Diseases, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Christoph Hatz (C)

Swiss Tropical and Public Health Institute, Basel, Switzerland.
University of Basel, Basel, Switzerland.

Milo A Puhan (MA)

Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Jan Fehr (J)

Department of Public & Global Health, Division of Infectious Diseases, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Andrea Farnham (A)

Department of Public & Global Health, Division of Infectious Diseases, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Classifications MeSH