New app aims to protect kids from radon, the second leading cause of lung cancer
NCT ID NCT07591389
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests a smartphone app designed to encourage mothers of children aged 4 and under to test their homes for radon, a radioactive gas that is the second leading cause of lung cancer. Participants receive a free radon test kit and use the app to learn about radon risks. The study measures changes in radon knowledge, confidence, and whether participants actually use the test kit. It involves 100 mothers in North Dakota.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- radon app
- What this could lead to
- If successful, this app could help reduce lung cancer risk by increasing radon testing in homes with young children.
- What could go wrong
- This is a small, early feasibility study with only 100 participants, so results may not apply broadly. The app's impact on actual radon testing and cancer prevention is uncertain.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
-
Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
-
About 100 people
The number the study aims to enrol. It can still change while the study runs.
- Started
-
Apr 2026
- Expected to finish
-
Dec 2026
An estimate. End dates often move.
- Lead sponsor
-
Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
-
18 years and older
- Sex
-
Female participants only
- Healthy volunteers
-
Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Participants are female mothers of children aged 4 and under. * Participants own a smartphone. * Children brought in for appointments are their biological or adoptive child. Exclusion Criteria: * Previous testing for radon within the past two (2) years. * The mother's child brought in for the appointment is over 4 years of age.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Lung cancer (diagnosis) are added.
Genom att skicka in godkänner du våra Användarvillkor
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
-
The places running it
2 sites. The list below names each one and where it is.
-
The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
-
A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
-
University of North Dakota Center for Family Medicine, Bismarck Clinic
RECRUITINGBismarck, North Dakota, 58501, United States
-
University of North Dakota Center for Family Medicine, Minot Clinic
RECRUITINGMinot, North Dakota, 58701, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can AI tailor recovery instructions after lung cancer surgery?
- Can a new radiation machine cut breath holds for cancer patients?
- Software aims to steer bronchoscopes more precisely in lung cancer checks
- Gentle exercise may revive energy in lung cancer patients
- Laser and AI join forces to spot aggressive lung cancer
- Can a tiny camera help doctors diagnose lung nodules more accurately?