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

Study Overview
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Brief Summary
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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.

Detailed Description
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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.

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

Conditions
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Lung Carcinoma

Intervention / Treatment
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* Other: Educational Intervention
* Other: Questionnaire Administration


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Prevention
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Prevention (educational videos, questionnaires)<br>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: Educational Intervention<br>* Watch educational videos and use wearable air pollution sensor<br>* Other names: Intervention, Educational;Other: Questionnaire Administration<br>* Complete questionnaires<br>|

What is the study measuring?
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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 |