Automated Device for Asthma Monitoring

NCT ID: NCT01696357

Last Updated: 2014-12-10

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 84 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2009-09-30
• Study Completion Date: 2013-08-31

Brief Summary

This study will examine an innovative strategy to monitor asthma symptoms by using existing technology to develop a non-invasive device for monitoring asthma symptoms in adolescents. Using an iPod as a platform, and current sound data analysis techniques, a prototype device will be developed that will directly monitor the chosen parameters of asthma symptoms, including wheezing, coughing and activity levels. This small non-invasive device will be continuously carried by or placed in close proximity to the adolescent on a daily basis. It is hypothesized that such a device would be acceptable to adolescents and would lend accuracy and objectivity to symptom assessment; something that existing monitoring strategies have yet to achieve. It will also stimulate the adolescents' partnership in asthma self-monitoring and ultimately lead to effective asthma management.

Detailed Description

Prior research has generated compelling evidence that programs promoting self-management can reduce morbidity and improve asthma outcomes in children. Successful asthma management strategies require patients' active commitment to engage in care processes by establishing self-monitoring routines. Adequate self-monitoring of asthma symptoms is considered to be the cornerstone of appropriate asthma management leading to fewer cases of asthma exacerbation and acute care visits as well as better functional outcomes and higher quality of life in children and adolescents. Symptom monitoring informs patient decisions to initiate necessary self-management behaviors (e.g., adjust medication, alter activity level, alter the surrounding environment or seek medical assistance) as well as the providers' decisions related to an appropriate treatment course such as step up, no change or step down therapy. Thus, current guidelines by National Heart, Lung, and Blood Institute (NHLBI) Expert Panel Review 3 (EPR3) highlight the importance of ongoing symptom monitoring.

Studies of children have raised concerns about adequacy and effectiveness of current methods of asthma self-monitoring including symptom-based and peak expiratory flow (PEF) monitoring. Symptom-based monitoring relies on the individual's symptom perception which is subjective and influenced by a variety of factors such as the patient's emotional status, social influences (e.g, family, peers) and previous experiences with symptoms. Thus, the accuracy and objectivity of this monitoring method is uncertain. As an objective approach, PEF monitoring has been encouraged, yet the efficacy of this method has also been a subject of ongoing debate in the literature. Poor adherence and inadequate technique further diminish the clinical usefulness of PEF monitoring. Thus, the uncertainty of current monitoring strategies underscores the imperative of an alternative symptom monitoring strategy that addresses the issues of accuracy and objectivity of symptom assessment.

Adolescence is an important period for consolidating and establishing self-management of and adjustment to chronic health conditions. Yet an array of developmental challenges including the desire for normalcy and peer approval, feelings of invulnerability and emerging independence undermine adolescents' motivation and behaviors to engage in self-management and present particular difficulties in achieving optimal asthma control in adolescents with asthma. Parents become less able to manage asthma as children reach adolescence and many researchers and clinicians have reported similar difficulties in managing asthma in adolescents primarily due to inadequate adherence and counterproductive behaviors. Thus, clinicians face serious challenges in providing optimal management for adolescents with asthma primarily due to difficulties in soliciting patients' active partnership in asthma management with sustainable and reliable symptom monitoring routines. Accurate symptom monitoring by patients is the most fundamental antecedent to effective asthma management, yet existing monitoring strategies have not been conducive to adolescents' cooperation or yielded accurate or clinically useful information. Having recognized these limitations, this study will examine an innovative strategy to monitor asthma symptoms that stimulates adolescents' partnership and ultimately leads to effective asthma management.

The device will directly monitor the chosen parameters of asthma symptoms, including wheezing, coughing and activity levels. A mobile phone will be employed as a platform for processing, analyzing and storing data transmitted from a microphone and a wireless accelerometer. This new approach is developmentally appropriate, given adolescents' affinity for technology and its capacity to address adolescents' need for maintaining normalcy while allowing continuous asthma monitoring during real-life situations. The device involves biomedical engineering techniques enabling automatic sound and activity recording, analysis, feedback, and storage function. A mobile phone will be employed as a platform for processing, analyzing and storing data transmitted from a microphone and a wireless accelerometer. This technology will automate daily symptom monitoring with minimal intrusiveness and maximum accuracy, thereby reducing the risk of inappropriate treatment and ameliorating asthma-related disability. Due to its foreseen safety, noninvasiveness, objectivity, convenience, user-friendliness, and cost containment, the approach can greatly enhance asthma management by adolescents and health care providers. This device has the potential to bring about patient behavior changes such as avoiding triggers and adjusting medications as the device will provide the opportunity for in-time review of symptoms.

Conditions

Asthma

Keywords

Asthma; Adolescents; Self-monitoring; Quality of life; Biomedical device; Symptom monitoring; Self-management

Study Design

• Observational Model Type: CASE_CONTROL
• Study Time Perspective: PROSPECTIVE

Study Groups

Adolescents with asthma

Ages 13-17 with an asthma diagnosis-both symptomatic and non-symptomatic- and with currently prescribed asthma medication.

Automated Device for Asthma Monitoring (ADAM)

Intervention Type: DEVICE

Both groups of adolescents (asthma/non-asthma)wore a prototype ADAM device for 7 days as they went about their usual daily activities. At night, the device continued to monitor symptoms as it was placed in close proximity to the adolescent's head during sleep. The asthma group answered survey questions about the status of their symptoms and their usage of asthma medication every morning and every evening- entering their answers directly onto the monitoring device.

Adolescents without asthma

Ages 13-17 without an asthma diagnosis and without any other respiratory condition that presents with asthma-like symptoms.

Automated Device for Asthma Monitoring (ADAM)

Intervention Type: DEVICE

Both groups of adolescents (asthma/non-asthma)wore a prototype ADAM device for 7 days as they went about their usual daily activities. At night, the device continued to monitor symptoms as it was placed in close proximity to the adolescent's head during sleep. The asthma group answered survey questions about the status of their symptoms and their usage of asthma medication every morning and every evening- entering their answers directly onto the monitoring device.

Interventions

Automated Device for Asthma Monitoring (ADAM)

Both groups of adolescents (asthma/non-asthma)wore a prototype ADAM device for 7 days as they went about their usual daily activities. At night, the device continued to monitor symptoms as it was placed in close proximity to the adolescent's head during sleep. The asthma group answered survey questions about the status of their symptoms and their usage of asthma medication every morning and every evening- entering their answers directly onto the monitoring device.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• Age 13 through 17 years,
• Asthma diagnosis from a care provider,
• Prescribed asthma controller medication

• Age 13 through 17 years,

Exclusion Criteria

• Other health conditions (e.g., heart disease, cystic fibrosis) producing asthma-like symptoms,
• Known cognitive, psychological and behavior problems (based on self-report and/or clinician report) that present challenges in following study procedures
• Ability to understand spoken and written English.

• Other health conditions (e.g., heart disease, cystic fibrosis) producing asthma-like symptoms,
• Known cognitive, psychological and behavior problems (based on self-report and/or clinician report) that present challenges in following study procedures
• Ability to understand spoken and written English.
• Asthma diagnosis from a care provider,

• Minimum Eligible Age: 13 Years
• Maximum Eligible Age: 17 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

University of Rochester

OTHER

Sponsor Role: lead

Responsible Party

Hyekyun Rhee

Associate Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Hyekyun Rhee, PhD, RN, PNP

Role: PRINCIPAL_INVESTIGATOR

University of Rochester School of Nursing

Mark Bocko, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Rochester Electrical Engineering

Locations

University of Rochester

Rochester, New York, United States

Countries

United States

References

Rhee H, Miner S, Sterling M, Halterman JS, Fairbanks E. The development of an automated device for asthma monitoring for adolescents: methodologic approach and user acceptability. JMIR Mhealth Uhealth. 2014 Jun 19;2(2):e27. doi: 10.2196/mhealth.3118.

Reference Type: BACKGROUND

PMID: 25100184 (View on PubMed)

Rhee H, Fairbanks E, Butz A. Symptoms, feelings, activities and medication use in adolescents with uncontrolled asthma: lessons learned from asthma diaries. J Pediatr Nurs. 2014 Jan-Feb;29(1):39-46. doi: 10.1016/j.pedn.2013.04.009. Epub 2013 May 15.

Reference Type: RESULT

PMID: 23685266 (View on PubMed)

Sterling M, Rhee H, Bocko M. Automated Cough Assessment on a Mobile Platform. J Med Eng. 2014;2014:951621. doi: 10.1155/2014/951621.

Reference Type: RESULT

PMID: 25506590 (View on PubMed)

Rhee H, Belyea M, Mammen J. Visual analogue scale (VAS) as a monitoring tool for daily changes in asthma symptoms in adolescents: a prospective study. Allergy Asthma Clin Immunol. 2017 Apr 28;13:24. doi: 10.1186/s13223-017-0196-7. eCollection 2017.

Reference Type: DERIVED

PMID: 28465694 (View on PubMed)

Other Identifiers

5R01NR011169

Identifier Type: NIH

Identifier Source: org_study_id

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