Development of a questionnaire library for rapid health data acquisition during wildfire events

Rapid health outcome data acquisition using existing questionnaires can accelerate time-sensitive wildfire research. We intended to create a health questionnaire library that contains readily deployable questionnaires for researchers, public health agencies, and other groups interested in rapid data...

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Main Authors: Lilian Liu, Christine Loftus, Diana Rohlman, Edmund Seto, Elena Austin
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:MethodsX
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Online Access:http://www.sciencedirect.com/science/article/pii/S2215016125002420
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author Lilian Liu
Christine Loftus
Diana Rohlman
Edmund Seto
Elena Austin
author_facet Lilian Liu
Christine Loftus
Diana Rohlman
Edmund Seto
Elena Austin
author_sort Lilian Liu
collection DOAJ
description Rapid health outcome data acquisition using existing questionnaires can accelerate time-sensitive wildfire research. We intended to create a health questionnaire library that contains readily deployable questionnaires for researchers, public health agencies, and other groups interested in rapid data collection during wildfire events. In this paper, we describe the methodology used to identify relevant self-reported health questionnaires and develop the structured questionnaire library, which serves as a centralized platform for wildfire researchers seeking to quickly design health assessment instruments. This method can also facilitate rapid questionnaire-based data collection following other disasters. To do so we performed the following tasks: • A systematic literature review of wildfire exposure and health studies to 1) identify health outcome categories associated with wildfire and smoke exposure and 2) extract questionnaires used for health outcomes related to wildfire exposure. • A secondary search of existing questionnaire repositories to identify additional relevant health instruments. • A structured organization of questionnaires (n = 100) by eight health outcome categories (mental health = 60, respiratory health = 19, overall health = 17, sleep = 10, cardiovascular health = 4, allergy = 1, irritation (eye, throat, skin) = 2, and metabolic health = 1) into a wildfire health questionnaire library.
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spelling doaj-art-fb619396c5dd464f8b8925bd5eabc05f2025-08-20T02:35:36ZengElsevierMethodsX2215-01612025-06-011410339610.1016/j.mex.2025.103396Development of a questionnaire library for rapid health data acquisition during wildfire eventsLilian Liu0Christine Loftus1Diana Rohlman2Edmund Seto3Elena Austin4Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98105, USA; Corresponding author.Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98105, USADepartment of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR 97331, USADepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98105, USADepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98105, USARapid health outcome data acquisition using existing questionnaires can accelerate time-sensitive wildfire research. We intended to create a health questionnaire library that contains readily deployable questionnaires for researchers, public health agencies, and other groups interested in rapid data collection during wildfire events. In this paper, we describe the methodology used to identify relevant self-reported health questionnaires and develop the structured questionnaire library, which serves as a centralized platform for wildfire researchers seeking to quickly design health assessment instruments. This method can also facilitate rapid questionnaire-based data collection following other disasters. To do so we performed the following tasks: • A systematic literature review of wildfire exposure and health studies to 1) identify health outcome categories associated with wildfire and smoke exposure and 2) extract questionnaires used for health outcomes related to wildfire exposure. • A secondary search of existing questionnaire repositories to identify additional relevant health instruments. • A structured organization of questionnaires (n = 100) by eight health outcome categories (mental health = 60, respiratory health = 19, overall health = 17, sleep = 10, cardiovascular health = 4, allergy = 1, irritation (eye, throat, skin) = 2, and metabolic health = 1) into a wildfire health questionnaire library.http://www.sciencedirect.com/science/article/pii/S2215016125002420Resource collection for health-based rapid wildfire questionnaire development
spellingShingle Lilian Liu
Christine Loftus
Diana Rohlman
Edmund Seto
Elena Austin
Development of a questionnaire library for rapid health data acquisition during wildfire events
MethodsX
Resource collection for health-based rapid wildfire questionnaire development
title Development of a questionnaire library for rapid health data acquisition during wildfire events
title_full Development of a questionnaire library for rapid health data acquisition during wildfire events
title_fullStr Development of a questionnaire library for rapid health data acquisition during wildfire events
title_full_unstemmed Development of a questionnaire library for rapid health data acquisition during wildfire events
title_short Development of a questionnaire library for rapid health data acquisition during wildfire events
title_sort development of a questionnaire library for rapid health data acquisition during wildfire events
topic Resource collection for health-based rapid wildfire questionnaire development
url http://www.sciencedirect.com/science/article/pii/S2215016125002420
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