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

Lung Carcinoma Clinical Trial

Official title:

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

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04922697
• Other study ID #: RG1121435
• Secondary ID: NCI-2021-0439910
• Status: Completed
• Phase: N/A
• Start date: September 15, 2021
• Est. completion date: March 5, 2022

Study information

• Verified date: July 2022
• Source: Fred Hutchinson Cancer Center
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

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.

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 25
• Est. completion date: March 5, 2022
• Est. primary completion date: January 10, 2022
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

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

Related Conditions & MeSH terms

• Lung Carcinoma
• Lung Neoplasms

Intervention

Other:
• Educational Intervention
Watch educational videos and use wearable air pollution sensor
• Questionnaire Administration
Complete questionnaires

Locations

Country	Name	City	State
United States	Fred Hutch/University of Washington Cancer Consortium	Seattle	Washington

Sponsors (2)

Lead Sponsor	Collaborator
Fred Hutchinson Cancer Center	Prevent Cancer Foundation

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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
Primary	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	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
Secondary	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
Secondary	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
Secondary	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
Secondary	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
Secondary	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
Secondary	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
Secondary	Intervention feasibility (accessibility)	Will report descriptive statistics for intervention accessibility based on responses to the relevant questionnaire items at week 5.	At week 5
Secondary	Intervention feasibility (acceptability)	Will report descriptive statistics for intervention acceptability based on responses to the relevant questionnaire items at week 5.	At week 5
Secondary	Intervention feasibility (demand)	Will report descriptive statistics for intervention demand based on responses to the relevant questionnaire items at week 5.	At week 5
Secondary	Intervention feasibility (uptake, sensor upload completion)	Will report descriptive statistics the proportion of participants completing sensor uploads.	At baseline through week 5
Secondary	Intervention feasibility (uptake, educational video viewing)	Will report descriptive statistics for the proportion of viewing educational videos at week 3.	At week 3
Secondary	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