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Internet-based monitoring of asthma symptoms, peak flow meter readings, and absence data in a school-based clinical
Leslie A McClure1, Kathy F Harrington, Holli Graham
1Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA. lmcclure@ms.soph.uab.edu
Insights
The Asthma Agents System improved daily data collection for children with asthma, significantly reducing missing data rates. This technology-based approach is effective for pediatric asthma management in urban settings.
Area of Science:
- Pediatric pulmonology
- Health informatics
- Clinical trial methodology
Background:
- Childhood asthma is a prevalent chronic condition with significant health impacts.
- Medication adherence is crucial for reducing childhood asthma morbidity but is often low, particularly in urban, low-income populations.
- A randomized clinical trial was conducted to assess an intervention aimed at improving daily asthma medication adherence in children.
Purpose of the Study:
- To evaluate the effectiveness of an intervention designed to increase adherence to asthma medication in children.
- To examine the impact of the Asthma Agents System on the frequency of missing data.
- To assess the intervention's effectiveness in reducing asthma exacerbations.
Main Methods:
- A web-based data collection system, the Asthma Agents System, was employed for daily data retrieval from children in school settings.
- Daily data collected were analyzed to determine the intervention's impact on asthma exacerbation frequency.
- Methods for data collection and retrieval of missing data were detailed.
Main Results:
- The Asthma Agents System achieved a high data availability rate, with 97% of expected daily data collected for 290 randomized children.
- Only 5% of the expected outcome data retrieved via the system were missing during the study period.
- The system demonstrated a lower rate of missing data compared to previously reported literature.
Conclusions:
- The Asthma Agents System demonstrated success in minimizing missing data, outperforming existing literature benchmarks.
- Challenges included integrating technology in urban schools, inter-site data transfer, and data accessibility during school breaks.
- The study highlights the potential of technology-driven systems for improving data collection in pediatric asthma research.
Background:
Asthma is the most common chronic childhood disease and has significant impact on morbidity and mortality in children. Proper adherence to asthma medication has been shown to reduce morbidity among those with asthma; however, adherence to medications is known to be low, especially among low-income urban populations. We conducted a randomized clinical trial to examine the effectiveness of an intervention designed to increase adherence to asthma medication among children with asthma that required daily collection of data.
Purpose:
and
Methods:
A specifically designed web-based data collection system, the Asthma Agents System, was used to collect daily data from participant children at school. These data were utilized to examine the intervention's effectiveness in reducing the frequency of asthma exacerbations. This study examines the Asthma Agents System's effect on the frequency of missing data. Data collection methods are discussed in detail, as well as the processes for retrieving missing data.
Results:
For the 290 children randomized, 97% of the daily data expected were available. Of the outcome data retrieved via the Asthma Agents System, 5% of those expected were missing during the period examined.
Limitations:
Challenges encountered in this study include issues regarding the use of technology in urban school settings, transfer of data between study sites, and availability of data during school breaks.
Conclusions:
Use of the Asthma Agents System resulted in lower rates of missing data than rates reported elsewhere in the literature. Clinical Trials 2008; 5: 31-37. http://ctj.sagepub.com.
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