ClinicalTrials.gg
CompletedNCT02162576ADIDUpdated Jul 20, 2021Results posted

Asthma Data Innovation Demonstration Project

An interventional study of Propeller Health intervention in Asthma, Bronchial Diseases and Respiratory Tract Diseases, sponsored by David Van Sickle. Completed at 1 site in United States. Open to participants aged 5 Years and older. Per ClinicalTrials.gov, last updated 2021-07-20.

Sponsored by David Van Sickle · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
95
Allocation
Not applicable
Ages
5 Years and older
Sex
All
01

Study summary

Propeller Health is collaborating with the City of Louisville and other local partners to carry out a focused demonstration project that will evaluate the effectiveness of the Propeller Health approach to asthma management while exploring means to use real-time data on asthma exacerbations in a public health setting. The Asthma Data Innovation Demonstration Project (ADID) will use wireless sensor technology to develop spatial and temporal data on the use of rescue inhalers by 120 study subjects with asthma in the Louisville metropolitan area. Propeller Health will process these data to support two general strategies.

Asthma self management: Rescue inhaler actuation data will be compiled into individualized feedback reports to support asthma self management. Propeller Health will combine information on individual rescue inhaler actuations with evidence-based asthma management tips into real-time reports that will be provided to subjects. ADID staff will evaluate any resulting improvements in asthma control that may be based on this information. Subjects may share reports with their healthcare providers.

Municipal purposes: The second strategy is to provide aggregated and de-identified, spatial and temporal asthma rescue inhaler actuation data to City personnel and authorized public health researchers in Louisville. These data will show the times and locations of the use of rescue inhalers by the 120 study subjects throughout the greater Louisville area. ADID staff will work with City personnel and researchers to investigate how this unprecedented level of detailed information on exacerbations can be used best to increase public awareness of environmental triggers while supporting public health surveillance efforts around respiratory diseases.

02

Conditions studied

  • Asthma
  • Bronchial Diseases
  • Respiratory Tract Diseases
  • Lung Diseases, Obstructive
  • Lung Diseases
  • Respiratory Hypersensitivity
  • Hypersensitivity, Immediate
  • Hypersensitivity
  • Immune System Diseases

Keywords

  • asthma
  • asthma control
  • healthcare utilization costs
  • community hotspots
  • public health research
03

In context

Asthma

4,841 studies on the registry are indexed under Asthma; 600 are open to participants now.

This study's enrollment of 95 is above the median of 78 across 3,341 interventional studies indexed under Asthma.

Browse Asthma studies →

Lead sponsor

This is the only study on the registry with David Van Sickle as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
5 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Self-reported provider diagnosis of asthma
  • Prescription for Short Acting Beta Agonist (SABA) at study intake

Exclusion criteria

Exclusion Criteria:

  • Subject is under the age of 5 at the beginning of the study
  • Subject does not speak English
  • Subject does not have access to the Internet or email to receive reports
  • Subject has substantial co-morbidity (self-reported provider diagnosis of )
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

COPD

Chronic obstructive pulmonary disease: long-term lung disease that makes it hard to breathe out, including emphysema and chronic bronchitis.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
95 participants (actual)

Study arms

  • Other
    Propeller Health intervention group

    All participants attached the Propeller sensor to their SABA medications and tracked the time and location of use for up to 13 months, to capture seasonal variation in medication use, symptoms and environmental triggers. The first 30-day run-in period served as a control period to assess levels of asthma control and SABA use; subject actuations were tracked, but participants and physicians did not receive their data or feedback. After the run-in period, participants received the full intervention for 12 months (see intervention for description).

    Device: Propeller Health intervention

Interventions

  • DevicePropeller Health intervention

    The Propeller intervention works through the provision of information to patients and their providers. With the Propeller sensor device in place, each actuation of a patient's rescue inhaler is recorded with an automatic time stamp and geographic location. Actuation data are then securely transmitted to Propeller Health where the information is also compiled into individual reports via mobile apps, online dashboards, email reports and text message reminders that are returned to the patient. This communication provides an ongoing assessment of their management based on the national guidelines, together with personalized information to help encourage and support self-management. Each participant was invited to share reports with his or her healthcare provider, but this was not required.

    Also known as: Asthmapolis

06

What researchers measure

Primary outcomes

  1. Change in Rescue Inhaler Actuations/Person/Day

    The Propeller Health sensor permits the capture of objective time and location data on each actuation of the rescue inhaler. The mean number of rescue inhaler events per participant per day will be assessed for each day in the study, and the difference between the baseline month and all subsequent months will be evaluated.

    Time frame: Change from baseline to study exit, up to 13 months

Secondary outcomes

  1. Percent Change in the Proportion of Participants With an Asthma-free Day

    Each 24-hour period without an actuation of a rescue inhaler was counted as an asthma-free day. The proportion of participants with an asthma-free day was calculated for each day of the program, with the denominator including all active participants on that day of the program, defined as those that synced after that date.

    Time frame: Change from baseline period to study exit (approximately 13 months)

  2. Percent Change in the Proportion of Participants With Well-controlled Asthma

    Daily control status was assessed based upon the timing and frequency of SABA actuations according to NAEPP guidelines. The proportion of the study cohort defined as well controlled, not well controlled and poorly controlled was assessed weekly throughout the program.

    Time frame: Baseline and study exit (approximately 13 months)

07

Results

Posted Dec 26, 2017

Participant flow

The study recruited residents from community events, clinics and retail pharmacies using a convenience sampling strategy. Participants were eligible if they reported a physician diagnosis of asthma and a current prescription for SABA medication. Recruitment occurred between 6/2012 and 1/2013, with the last subject exiting the program in 1/2014.

Participant flow — Overall Study
MilestonePropeller Health Intervention Group
Started95
Completed95
Not completed0

Outcome measures

PrimaryChange in Rescue Inhaler Actuations/Person/Day

The Propeller Health sensor permits the capture of objective time and location data on each actuation of the rescue inhaler. The mean number of rescue inhaler events per participant per day will be assessed for each day in the study, and the difference between the baseline month and all subsequent months will be evaluated.

Time frame:
Change from baseline to study exit, up to 13 months
Reported as:
Mean · puffs per participant per day
Change in Rescue Inhaler Actuations/Person/Day
puffs per participant per dayPropeller Health Intervention Group
Change in Rescue Inhaler Actuations/Person/Day-0.37 ± 0.27
SecondaryPercent Change in the Proportion of Participants With an Asthma-free Day

Each 24-hour period without an actuation of a rescue inhaler was counted as an asthma-free day. The proportion of participants with an asthma-free day was calculated for each day of the program, with the denominator including all active participants on that day of the program, defined as those that synced after that date.

Time frame:
Change from baseline period to study exit (approximately 13 months)
Reported as:
Number · percentage change
Percent Change in the Proportion of Participants With an Asthma-free Day
percentage changePropeller Health Intervention
Percent Change in the Proportion of Participants With an Asthma-free Day23
SecondaryPercent Change in the Proportion of Participants With Well-controlled Asthma

Daily control status was assessed based upon the timing and frequency of SABA actuations according to NAEPP guidelines. The proportion of the study cohort defined as well controlled, not well controlled and poorly controlled was assessed weekly throughout the program.

Time frame:
Baseline and study exit (approximately 13 months)
Reported as:
Number · percent change
Percent Change in the Proportion of Participants With Well-controlled Asthma
percent changePropeller Health Intervention
Percent Change in the Proportion of Participants With Well-controlled Asthma33

Adverse events

Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Propeller Health Intervention—0/95 (0%)0/95 (0%)

Baseline characteristics

95 participants were enrolled in the study program.

Age, Categorical
Age, Categorical(Participants)Propeller Health Intervention Group
<=18 years42
Between 18 and 65 years51
>=65 years2
Age, Continuous
Age, Continuous(years)Propeller Health Intervention Group
Mean27.5 ± 18.3
Sex/Gender, Customized
Sex/Gender, Customized(participants)Propeller Health Intervention Group
Female53
Male42
Region of Enrollment
Region of Enrollment(participants)Propeller Health Intervention Group
United States95
Asthma Control Test
Asthma Control Test(units on a scale)Propeller Health Intervention Group
Mean17.51 ± 4.45
08

Study locations

1 site
  • Jefferson County
    Louisville, Kentucky 40202, United States
09

References and documents

Publications

  • Barrett M, Combs V, Su JG, Henderson K, Tuffli M; AIR Louisville Collaborative; AIR Louisville Collaborative. AIR Louisville: Addressing Asthma With Technology, Crowdsourcing, Cross-Sector Collaboration, And Policy. Health Aff (Millwood). 2018 Apr;37(4):525-534. doi: 10.1377/hlthaff.2017.1315. PubMed 29608361 ↗
  • Barrett MA, Humblet O, Marcus JE, Henderson K, Smith T, Eid N, Sublett JW, Renda A, Nesbitt L, Van Sickle D, Stempel D, Sublett JL. Effect of a mobile health, sensor-driven asthma management platform on asthma control. Ann Allergy Asthma Immunol. 2017 Nov;119(5):415-421.e1. doi: 10.1016/j.anai.2017.08.002. PubMed 29150069 ↗
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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 20, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT02162576
Lead sponsor
David Van Sickle
Collaborators
Foundation for a Healthy Kentucky, Norton Healthcare Foundation, Owsley Brown Charitable Foundation
Responsible party
David Van Sickle (CEO, Reciprocal Labs) — Sponsor-investigator
First posted
Jun 12, 2014
Start date
Jun 2012
Primary completion
Jan 2014
Completion
Jan 2014
Results posted
Dec 26, 2017
Last update
Jul 20, 2021

Study contacts

David Van Sickle, PhD
principal investigator · Propeller Health

Oversight

Data monitoring committee
Yes
View the source record on ClinicalTrials.gov ↗

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