Promoting Radon Testing Among Mothers of Young Children

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This feasibility study invites mothers of young children who receive a free radon test kit to use a smartphone app that provides education, testing steps, reminders, and social sharing. The team will measure knowledge, confidence in testing, and beliefs about radon, as well as whether the kit is completed and returned for lab analysis. Data come from brief surveys, app usage analytics, and lab-confirmed kit returns, with feasibility metrics such as recruitment, retention, and engagement. The study is led by the University of North Dakota with NIGMS collaboration and engages clinics in North Dakota. No results are reported here; the focus is on feasibility of the app-based approach and participation processes.

Why it matters

Who can join: the full rules

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.

Where it's running

• University of North Dakota Center for Family Medicine, Bismarck Clinic
  Bismarck, North Dakota, United States Recruiting
• University of North Dakota Center for Family Medicine, Minot Clinic
  Minot, North Dakota, United States Recruiting

Study contacts

• Study coordinator: Soojung Kim Interim Dean, School of Graduate Studies, PhD, MPH
• Email: soojung.kim@UND.edu
• Phone: 701-777-2786

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Boosting lung cancer screening for patients seen in the emergency department

  This project will test whether giving eligible emergency department patients a facilitated referral plus text reminders helps more people get lung cancer screening.

  Recruiting University of Rochester · Rochester, New York · NCT07287085

• Risk-based lung cancer screening in COPD patients using ML and clinical models

  This study tests whether a PLCOm2012 risk model plus a machine learning model can spot COPD patients at high risk for lung cancer to see if they benefit from low-dose CT screening.

  Recruiting Vejle Hospital · Vejle, Region Syddanmark · NCT07848815

• AI-Personalized Discharge Education After Lung Cancer Surgery

  This study tests whether an AI-generated, personalized discharge guide helps patients recover better after lung cancer surgery compared with standard discharge education.

  Recruiting Xiamen University · Siping, Jilin · NCT07827183

• Next Generation Delivery System (NGDS) for SBRT in thorax and upper abdomen

  A study tests a new machine to deliver SBRT more quickly and comfortably for adults with thoracic or upper abdominal cancers.

  Recruiting at 2 sites Varian, a Siemens Healthineers Company · St Louis, Missouri and 1 other locations · NCT07824583

• Low-Intensity Endurance Exercise to Help Lung Cancer-Related Fatigue

  This trial tests whether light, regular endurance exercise can help reduce fatigue and improve quality of life for people with lung cancer in addition to their usual care.

  Recruiting Taipei Medical University · Taipei · NCT07806682

• Low-Intensity Endurance Exercise for Lung Cancer-Related Fatigue

  A randomized trial tests whether light, regular endurance exercise can help reduce fatigue and improve quality of life for people with lung cancer.

  Recruiting Taipei Medical University · Taipei · NCT07795580

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.