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This study plans to learn more about how children use their asthma medicines. The investigators would like to see if special electronic monitoring devices that connect to smartphones and computers can help children to better manage their asthma
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention | All patients will be enrolled in one arm. These patients will have monitoring devices placed on their asthma controller and rescue medication, with data transmitted both to their smartphones and a dashboard accessed by their primary pediatric pulmonary provider. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Propeller Health Monitoring Device | Device |
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| Measure | Description | Time Frame |
|---|---|---|
| Number of patient participants that rate the devices as easy to use | Measuring the feasibility and acceptability of monitoring devices for children ages 6-17 who are at high risk for asthma exacerbation, by having children use the devices and having children/parents answer survey questions regarding their impressions of the product at the beginning of use and after 1.5 and 3 months of use. | 3 months |
| Number of provider participants that rate the devices as easy to use | Measuring the feasibility and acceptability of monitoring devices for children ages 6-17 who are at high risk for asthma exacerbation, by having children use the devices and having providers answer survey questions regarding their impressions of the product at the beginning of use and after 1.5 and 3 months of use. | 3 months |
| Measure | Description | Time Frame |
|---|---|---|
| Number of patients/parents that exhibit behavioral changes with respect to taking asthma medications as a result of information gained from the monitoring devices. | How many parents/patients of high risk asthmatic children change behavior regarding how they administer their medications as a result of information that they gained from the devices regarding their adherence to their treatment regimen, gained via phone surveys at 1.5 and 3 months after using the devices. Patients are surveyed if children are greater than 12 years old. Parents are surveyed if children are 6-12 years old. |
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Inclusion Criteria:
Exclusion Criteria:
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Study subjects would be drawn from the list of high risk asthma patients and by pre-clinic chart review done by study investigator.
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| Name | Affiliation | Role |
|---|---|---|
| Stanley Szefler, MD | University of Colorado, Denver | Principal Investigator |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29641374 | Derived | Hoch H, Kempe A, Brinton J, Szefler S. Feasibility of medication monitoring sensors in high risk asthmatic children. J Asthma. 2019 Mar;56(3):270-272. doi: 10.1080/02770903.2018.1446979. Epub 2018 Apr 11. No abstract available. |
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| ID | Term |
|---|---|
| D001249 | Asthma |
| ID | Term |
|---|---|
| D001982 | Bronchial Diseases |
| D012140 | Respiratory Tract Diseases |
| D008173 | Lung Diseases, Obstructive |
| D008171 | Lung Diseases |
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| 3 months |
| Number of pediatric pulmonary providers that exhibit behavioral changes with respect to prescribing asthma medications as a result of information gained from the monitoring devices. | Number of healthcare providers (physicians, nurse practitioners and physician assistants) that feel that their decision-making is affected regarding medication regimens for asthma based on information that they receive on patient adherence from the devices based on survey data gathered at study entry and 3 months after initiation of the devices will be measured. | 3 months |
| Correlation of lung function to percent use of controller medications as measured by adherence devices. | Evaluate correlation of markers of lung function (spirometry, fractional exhaled nitric oxide (FeNO), with percent adherence as measured by the monitoring devices. | 3 months |
| D012130 |
| Respiratory Hypersensitivity |
| D006969 | Hypersensitivity, Immediate |
| D006967 | Hypersensitivity |
| D007154 | Immune System Diseases |