Utilizing Real-time Technology to Assess the Impact of Home Environmental Exposures on Asthma Symptoms: Protocol for an Observational Pilot Study

Sharmilee Nyenhuis, Emily Cramer, Matthew Grande, Luz Huntington-Moskos, Kathryn Krueger, Olivia Bimbi, Barbara Polivka, Kamal Eldeirawi, Sharmilee Nyenhuis, Emily Cramer, Matthew Grande, Luz Huntington-Moskos, Kathryn Krueger, Olivia Bimbi, Barbara Polivka, Kamal Eldeirawi

Abstract

Background: It is estimated that over 60% of adults with asthma have uncontrolled symptoms, representing a substantial health and economic impact. The effects of the home environment and exposure to volatile organic compounds (VOCs) and fine particulate matter (PM2.5) on adults with asthma remain unknown. In addition, methods currently used to assess the home environment do not capture real-time data on potentially modifiable environmental exposures or their effect on asthma symptoms.

Objective: The aims of this study are to (1) determine the feasibility and usability of ecological momentary assessment (EMA) to assess self-report residential environmental exposures and asthma symptoms, home monitoring of objective environmental exposures (total VOCs and PM2.5), and lung function in terms of forced expiratory volume in 1 second (FEV1%); (2) assess the frequency and level of residential environmental exposures (eg, disinfectants/cleaners, secondhand smoke) via self-reported data and home monitoring objective measures; (3) assess the level of asthma control as indicated by self-reported asthma symptoms and lung function; and (4) explore associations of self-reported and objective measures of residential environmental exposures with self-reported and objective measures of asthma control.

Methods: We will recruit 50 adults with asthma who have completed our online Global COVID-19 Asthma Study, indicated willingness to be contacted for future studies, reported high use of disinfectant/cleaning products, and have asthma that is not well controlled. Participants will receive an indoor air quality monitor and a home spirometer to measure VOCs, PM2.5, and FEV1%, respectively. EMA data will be collected using a personal smartphone and EMA software platform. Participants will be sent scheduled and random EMA notifications to assess asthma symptoms, environmental exposures, lung function, and mitigation strategies. After the 14-day data collection period, participants will respond to survey items related to acceptability, appropriateness, and feasibility.

Results: This study was funded in March 2021. We pilot tested our procedures and began recruitment in April 2022. The anticipated completion of the study is 2023.

Conclusions: Findings from this feasibility study will support a powered study to address the impact of home environmental exposures on asthma symptoms and develop tailored, home-based asthma interventions that are responsive to the changing home environment and home routines.

Trial registration: ClinicalTrials.gov NCT05224076; https://ichgcp.net/clinical-trials-registry/NCT05224076.

International registered report identifier (irrid): DERR1-10.2196/39887.

Keywords: air quality; asthma; ecologic momentary assessment; home environment; spirometry.

Conflict of interest statement

Conflicts of Interest: SN, KE, BP, LHZ, and EC receive funding from the National Institute of Environmental Health Sciences (NIEHS).

©Sharmilee Nyenhuis, Emily Cramer, Matthew Grande, Luz Huntington-Moskos, Kathryn Krueger, Olivia Bimbi, Barbara Polivka, Kamal Eldeirawi. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 02.08.2022.

Figures

Figure 1
Figure 1
Application of the National Institute of Environmental Health Sciences (NIEHS) Translational Research Framework. EMA: ecological momentary assessment.
Figure 2
Figure 2
Study components. EMA: ecological momentary assessment; PM2.5: fine particulate matter; VOC: volatile organic compound.

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