Asthma Clinical Trial
Official title:
Asthma Mobile Health Application 2.0
| Verified date | August 2017 |
| Source | Icahn School of Medicine at Mount Sinai |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
Mobile health applications (MHA) are increasingly being explored as tools to assist in management of chronic diseases. Little is known regarding which characteristics of MHAs are effective and there is limited data suggesting a real-world impact on health outcomes. Asthma is one of the most common and costly of the chronic diseases, impacting a broad range of the population including both children and adults. It is a variable disease necessitating regular medication use, monitoring of symptoms, and avoidance of specific triggers. These characteristics of asthma make it a chronic disease that is particularly amenable to having an MHA facilitate active monitoring outside of periodic traditional medical visits. The study team has designed a MHA focused on asthma subjects to test the feasibility of an asthma mobile health application (AMHA). The AMHA 2.0 study is the result of a collaboration between MHA developers and Mount Sinai faculty with expertise in the fields of asthma, research design, data storage, and data analysis. AMHA 2.0 incorporated elements of usual clinical care (that may take place during typical office visits), such as medication reminders, a daily asthma diary to track asthma control (AC) and medication use, patient education and assessments of quality of life (QoL), and health care utilization (HCU).
| Status | Completed |
| Enrollment | 7752 |
| Est. completion date | March 15, 2017 |
| Est. primary completion date | March 15, 2017 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility |
Inclusion Criteria: - 18 years of age or older - Self-reported physician diagnosed asthma - Have an iPhone - Sufficient English-language ability to participate in informed consent process, complete study assessments and understand the text in mobile phone-delivered interventions Exclusion Criteria: - <18 years of age - Not currently taking any asthma medications - Does not own an iPhone or know how to handle a mobile phone - Are unable to read or understand the study materials - Current pregnancy |
| Country | Name | City | State |
|---|---|---|---|
| United States | Dept. of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai | New York | New York |
| Lead Sponsor | Collaborator |
|---|---|
| Icahn School of Medicine at Mount Sinai | Apple, Inc, Lifemap Solutions, Inc, Sage Bionetworks |
United States,
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* Note: There are 11 references in all — Click here to view all references
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Number of downloads | Number of people who downloaded AMHA | 2 years | |
| Primary | Percent of participants who aborted study participation | Percent of aborted study participants before completion inclusion/exclusion criteria | 2 years | |
| Secondary | Frequency of use of the Daily asthma diary | Feasibility and implied participant acceptability by counting frequency of use of app | 2 years | |
| Secondary | Frequency of use of the Asthma Control (AC) questionnaire | Feasibility and implied participant acceptability by counting frequency of use of app | 2 years | |
| Secondary | Frequency of use of the Health Care Utilization (HCU) questionnaire | Feasibility and implied participant acceptability by counting frequency of use of app | 2 years | |
| Secondary | Percent of completion of Daily asthma diary | Feasibility and implied participant acceptability by counting percent of completion of features in AMHA | 2 years | |
| Secondary | Percent of completion of the Asthma Control (AC) questionnaire | Feasibility and implied participant acceptability by counting percent of completion of features in AMHA | 2 years | |
| Secondary | Percent of completion of the Health Care Utilization (HCU) questionnaire | Feasibility and implied participant acceptability by counting percent of completion of features in AMHA | 2 years | |
| Secondary | Frequency of use of optional AMHA features | Feasibility and implied participant acceptability by frequency of use of optional AMHA features | 2 years | |
| Secondary | Asthma Control (AC) questionnaire | Daily asthma diary to track asthma control. AC is based o modified GOAL criteria. Total scale range is from 0 (no impairment) 6 (maximal impairment for symptoms and rescue use) | up to 6 months | |
| Secondary | EuroQol 5D-5L (EQ-5D-5L) | EuroQol 5D-5L used to measure quality of life: 5 items are scored from 1 (no problems) to 5 (extreme severe problems). The numerals 1-5 have no arithmetic properties and should not be used as a cardinal scale. total of 3125 possible health states is defined in this way. Each state is referred to in terms of a 5 digit code. For example, state 11111 indicates no problems on any of the 5 dimensions, while state 55555 indicates severe problems in each item. | up to 6 months | |
| Secondary | Health Care Utilization (HCU) score | Questionnaire regarding HCU events with scores from 0 (no health services used to 10 (all health care service options utilized). | up to 6 months | |
| Secondary | Associations between genetic markers and asthma severity | Statistically significant associations between DNA variants and asthma severity. Clustering, regression, and ensemble statistical models will be employed to partition AMHA 2.0 participants into distinct phenotypic classes. | 2 years | |
| Secondary | Associations between genetic markers and symptom patterns | Statistically significant associations between DNA variants and symptom patterns. Clustering, regression, and ensemble statistical models will be employed to partition AMHA 2.0 participants into distinct phenotypic classes. | 2 years | |
| Secondary | Associations between genetic markers and medication use/response | Statistically significant associations between DNA variants and medication use/response. Clustering, regression, and ensemble statistical models will be employed to partition AMHA 2.0 participants into distinct phenotypic classes. | 2 years |
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