Educational Intervention for the Promotion of Knowledge and Preventive Health Behaviors Related to Personal Air Pollution Exposure, The Air Study

Reducing PM2.5 Exposure and Lung Cancer Risk Using Spatial Data Science (The Air Study)

This clinical trial will conduct an educational intervention to promote knowledge of and preventive health behaviors related to personal air pollution exposure. Air pollution is n ubiquitous environmental exposure that is associated with harmful health effects including lung cancer. The educational intervention is comprised of 2 educational videos that include information regarding air pollution, health effects, and personal preventive health behaviors to reduce air pollution exposure and the use of a wearable air pollution sensor. The knowledge gained from this study may inform future research that will be designed to promote awareness of air pollution and its health effects.

Study Overview

• Status: Completed
• Conditions: Lung Carcinoma
• Intervention / Treatment: Other: Questionnaire Administration; Other: Educational Intervention

Detailed Description

OUTLINE:

Participants watch 2 educational videos during week 3 regarding air pollution, health effects, and personal preventive health behaviors to reduce air pollution exposure. Participants complete questionnaires at weeks 1 and 5.

• Study Type: Interventional
• Enrollment (Actual): 25
• Phase: Not Applicable

Contacts and Locations

Study Locations

• United States
  • Washington
    • Seattle, Washington, United States, 98109
      • Fred Hutch/University of Washington Cancer Consortium

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

Description

Inclusion Criteria:

• Adults 18 years or older: The evidence for personal strategies to reduce air pollution exposure has been focused on adults
• Live in Seattle, WA: The study is designed to focus on Seattle, WA such as using EnviroFlash alerts
• Own a smartphone: The participant requires a smartphone to setup the Flow app for the air pollution sensor
• Not traveling in the near-term: The study is designed to assess air pollution patterns in the local Seattle area
• Leave your home for at least 7 hours per week: Participants will use a wearable air pollution sensor to measure air pollutant levels from indoor and outdoor sources

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Prevention
• Allocation: N/A
• Interventional Model: Single Group Assignment
• Masking: None (Open Label)

Number of Arms

1

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: Prevention (educational videos, questionnaires); Participants watch 2 educational videos during week 3 regarding air pollution, health effects, and personal preventive health behaviors to reduce air pollution exposure. Participants will use wearable air pollution sensors. Participants will complete questionnaires at weeks 1 and 5.	Other: Questionnaire Administration; Complete questionnaires; Other: Educational Intervention; Watch educational videos and use wearable air pollution sensor; Other Names: Education for Intervention; Intervention by Education; Intervention through Education; Intervention, Educational

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Changes in knowledge regarding air pollution	Will calculate the proportion of the items that were answered correctly. McNemar's tests will be used to calculate differences in the proportion of participants answering air pollution knowledge items correctly at baseline and at week 5.	At baseline and week 5
Changes in air pollution preventive health behaviors	Will calculate summary scores for air pollution preventive health behaviors and paired t-test to determine intervention effectiveness at baseline and at week 5.	At baseline and week 5

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Changes in perceived barriers	Summary scores for perceived barriers (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale. Paired t-tests will determine changes in perceived barriers at baseline and week 5.	At baseline and week 5
Changes in perceived benefits	Summary scores for perceived benefits (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale. Paired t-tests will determine changes in perceived benefits at baseline and week 5.	At baseline and week 5
Changes in perceived susceptibility	Summary scores for perceived susceptibility (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale. Paired t-tests will determine changes in perceived susceptibility at baseline and week 5.	At baseline and week 5
Changes in perceived severity	Summary scores for perceived severity (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale. Paired t-tests will determine changes in perceived severity at baseline and week 5.	At baseline and week 5
Changes in self-efficacy	Summary scores for self-efficacy (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale. Paired t-tests will determine changes in self-efficacy at baseline and week 5.	At baseline and week 5
Changes in cues to action	Will calculate frequencies for each cue to action (guided by the Health Belief Model). McNemar's tests will be used to calculate differences in the proportion of participants regarding each cue to action at baseline and week 5.	At baseline and week 5
Changes in air pollutant levels measured using the Flow 2 personal air quality sensor	Paired t-tests will determine changes in air pollutant levels at baseline and week 2 vs. week 4 and week 5.	At baseline and week 2 vs. week 4 and week 5
Intervention feasibility (accessibility)	Will report descriptive statistics for intervention accessibility based on responses to the relevant questionnaire items at week 5.	At week 5
Intervention feasibility (acceptability)	Will report descriptive statistics for intervention acceptability based on responses to the relevant questionnaire items at week 5.	At week 5
Intervention feasibility (demand)	Will report descriptive statistics for intervention demand based on responses to the relevant questionnaire items at week 5.	At week 5
Intervention feasibility (uptake, sensor upload completion)	Will report descriptive statistics the proportion of participants completing sensor uploads.	At baseline through week 5
Intervention feasibility (uptake, educational video viewing)	Will report descriptive statistics for the proportion of viewing educational videos at week 3.	At week 3
Intervention feasibility (uptake, questionnaire completion)	Will report descriptive statistics for the proportion of completing the questionnaires at baseline and week 5.	At baseline and week 5

Collaborators and Investigators

• Sponsor: Fred Hutchinson Cancer Center
• Collaborators: Prevent Cancer Foundation
• Investigators: Principal Investigator: Trang VoPham, Fred Hutch/University of Washington Cancer Consortium

Study record dates

Study Major Dates

• Study Start (Actual): September 15, 2021
• Primary Completion (Actual): January 10, 2022
• Study Completion (Actual): March 5, 2022

Study Registration Dates

• First Submitted: June 1, 2021
• First Submitted That Met QC Criteria: June 8, 2021
• First Posted (Actual): June 11, 2021

Study Record Updates

• Last Update Posted (Actual): July 21, 2022
• Last Update Submitted That Met QC Criteria: July 19, 2022
• Last Verified: July 1, 2022

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Respiratory Tract Diseases; Neoplasms; Lung Diseases; Neoplasms by Site; Respiratory Tract Neoplasms; Thoracic Neoplasms; Lung Neoplasms
• Other Study ID Numbers: RG1121435; NCI-2021-04399 (Registry Identifier: CTRP (Clinical Trial Reporting Program)); 10685 (Other Identifier: Fred Hutch/University of Washington Cancer Consortium)

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: No

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No