Published on 21.05.13 in Vol 2, No 1 (2013): Vol 2, No 1 (2013): Jan-Jun
InSpire to Promote Lung Assessment in Youth: Evolving the Self-Management Paradigms of Young People With Asthma
Background: Asthma is the most common chronic disease in childhood, disproportionately affecting urban, minority, and disadvantaged children. Individualized care plans supported by daily lung-function monitoring can reduce morbidity and mortality. However, despite 20 years of interventions to increase adherence, only 50% of US youth accurately follow their care plans, which leads to millions of preventable hospitalizations, emergency room visits, and sick days every year. We present a feasibility study of a novel, user-centered approach to increasing young people’s lung-function monitoring and asthma self-care. Promoting Lung Assessment in Youth (PLAY) helps young people become active managers of their asthma through the Web 2.0 principles of participation, cocreation, and information sharing. Specifically, PLAY combines an inexpensive, portable spirometer with the motivational power and convenience of mobile phones and virtual-community gaming.
Objective: The objective of this study was to develop and pilot test InSpire, a fully functional interface between a handheld spirometer and an interactive game and individualized asthma-care instant-messaging system housed on a mobile phone.
Methods: InSpire is an application for mobile smartphones that creates a compelling world in which youth collaborate with their physicians on managing their asthma. Drawing from design-theory on global timer mechanics and role playing, we incentivized completing spirometry maneuvers by making them an engaging part of a game young people would want to play. The data can be sent wirelessly to health specialists and return care recommendations to patients in real-time. By making it portable and similar to applications normally desired by the target demographic, InSpire is able to seamlessly incorporate asthma management into their lifestyle.
Results: We describe the development process of building and testing the InSpire prototype. To our knowledge, the prototype is a first-of-its kind mobile one-stop shop for asthma management. Feasibility testing in children aged 7 to 14 with asthma assessed likability of the graphical user interface as well as young people’s interest in our incentivizing system. Nearly 100% of children surveyed said they would play games like those in PLAY if they involved breathing into a spirometer. Two-thirds said they would prefer PLAY over the spirometer alone, whereas 1/3 would prefer having both. No children said they would prefer the spirometer over PLAY.
Conclusions: Previous efforts at home-monitoring of asthma in children have experienced rapid decline in adherence. An inexpensive monitoring technology combined with the computation, interactive communication, and display ability of a mobile phone is a promising approach to sustainable adherence to lung-function monitoring and care plans. An exciting game that redefines the way youth conduct health management by inviting them to collaborate in their health better can be an incentive and a catalyst for more far-reaching goals.
Med 2.0 2013;2(1):e1
The Global Epidemic of Pediatric Asthma
Asthma is the most common chronic disease in children worldwide , and its prevalence, morbidity, mortality, and economic burden have been rising in most countries for the past 4 decades [ - ]. Approximately 300 million people worldwide currently have asthma, and its prevalence increases by 50% every 10 years. In North America, asthma currently affects almost 9% of children (7 million in the United States alone) [ - ].
In developed countries, asthma disproportionately affects poor, black, and Hispanic children. Both the prevalence and the severity of the disease are greater in underserved populations. According to the Centers for Disease Control (CDC), US children in poor families (12%) are more likely than the non-poor (8%) to have asthma. Blacks are 3 times more likely to die from asthma than non-blacks. The impact of asthma varies through the stages of childhood; prevalence increases with age, but health care use is highest among the youngest children (ages 0-5) . Frustratingly, recent emergency department (ED) use or hospitalizations are poor predictors of future use [ ]. In under-resourced countries, morbidity and mortality from asthma tend to be disproportionately higher than in developed countries [ , , , ].
Asthma is a manageable disease that can be controlled through a combination of inhaled anti-inflammatory therapy and patient education. Effective self-management via individualized care plans has been shown to reduce the frequency of exacerbations and over-utilization of resources, and to increase quality of life . However, despite 20 years of interventions, 50% of US children do not follow their care plans [ ], leading to impaired quality of life, increased costs, and increased risk of asthma crises. The issue is not limited to the United States; most regions of the world have documented similar results [ - ].
InSpire to Promote Lung Assessment in Youth (PLAY): Technology-Enabled Case Management
This paper presents the early development of a novel, user-centered approach to increasing children’s (aged 7 to 14) lung function monitoring and asthma self-care. The system was designed to help young people become active managers of their asthma through the Web 2.0 principles of participation, cocreation, and information sharing. Specifically, the InSpire system combines an inexpensive ($50-100), portable spirometer built with off-the-shelf components with a mobile phone and virtual-community gaming to help achieve widely accepted goals of asthma management, including objective lung function assessment and physician/patient partnership [, - ].
InSpire was designed to support these goals through an incentivized system that aims to encourage youth to monitor their lung function correctly while providing them with a toolset to help them follow their care plans. This toolset, housed on the compact mobile phone-spirometry device, comprises:
- Games that incorporate spirometry maneuvers as core gameplay mechanics,
- Quizzes for internalizing the child’s “Asthma Locus of Control,”
- Geolocation to warn of certain asthma triggers in the child’s vicinity,
- A chart that displays lung function over time and wirelessly sends readings to appropriate health professionals,
- An account credit system that rewards youth for consistent lung function assessment over prolonged periods of time.
Ultimately, the goal of InSpire was to give children with asthma and their families an application for more consistent recording of lung function and comprehensive reference to their asthma care plans, as well as improved clinical data for physicians to use at point-of-care. This article describes the development process and initial feasibility testing of the prototype InSpire system.
Following a care plan requires the patient to have access to reliable, real-time data, yet children with moderate to severe asthma have a particularly hard time perceiving the reduction in lung capacity that signals that they are about to have an asthma attack . That is not surprising, because, often, the alterations in physiology are subclinical and progress very slowly. For example, it is known that patients with asthma frequently have measurable declines in their lung function days prior to the clinical appearance of symptoms. The clinical symptoms are a result of a failure of the body’s compensatory mechanisms as shown in .
In developing InSpire, we elected to use spirometry for lung function monitoring. Although the current standard for lung function measurement is to use a peak flow meter (PFM) and manually record readings in an asthma log, both the meters themselves and the log entries have been shown to have considerable reliability and validity issues, especially in pediatric patients. A 2011 study found that only 24% of school-aged children performed peak flow measurements correctly, and that was during a session where they knew they were being videotaped and assessed on the quality of their maneuvers . Even when the meter was used correctly, the quality of PFM readings varied [ ].
In contrast, spirometry has greater sensitivity to changes in small airways function, closer correlation to symptoms in children, and algorithms to determine quality of forced vital capacity data [- ]. PFMs record only the peak expiratory volume while spirometers report the entire exhalation and inhalation process, as shown in . In addition, spirometers electronically process incoming pressure readings and run quality-check algorithms to ensure data validity. However, until recently, spirometers were found only in clinical settings such as hospitals, were prohibitively expensive, and too cumbersome to be made portable.
We partnered with the Electrical and Computer Engineering Department at Rice University to develop a relatively inexpensive (US $50-100), portable, open-source spirometer that can be merged with a mobile phone (). Mobile phones have enough computing power to process raw spirometry data and associated algorithms. In addition, they are a familiar form-factor for the target age group [ ] and are rapidly pervading all levels of society.
The mobileSpiro architecture has 3 components: hardware (which samples, collects, and filters the raw data for transmission to the mobile phone), recording of the spirometry maneuver (where the raw data is converted into calibrated, meaningful flow measurements), and maneuver analysis (validation of the correctness of the maneuver). The hardware is Bluetooth-based and was developed in-house at Rice University’s Center for Multimedia Communication. The main processor is a Texas Instruments MSP430.
In order to keep costs down, all parts used in the spirometer are standard off-the-shelf components. In keeping with our design goals of portability and low power consumption, the spirometer runs on 2 AA batteries and, if it is used twice a day for up to 10 minutes a day, its batteries will last up to 80 days. The processor samples the data from the maneuver and transmits the raw samples to a Rayson BTM-182 Bluetooth module. The data received by the mobile phone is processed by low-level Linux drivers as part of the Android mobile phone data stack. Because different smartphones have different Bluetooth, mini-USB, and microphone input capacities, the Java software design enables collection of data via all 3 inputs .
The spirometer software housed on the mobile phone incorporates real-time validation algorithms. For each maneuver, the algorithms check for the following errors: cough, hesitation, glottis closure, and short-livedness. Each of these errors manifests itself in the flow-time and volume-time curves, and thus can be detected at the level of the mobile phone .
Unfortunately, although spirometers hold the potential to improve asthma control and reduce asthma morbidity, most pediatric patients do not regularly monitor lung function on a daily basis [, ]. Technological limitations are not the only hindrance to decreasing the number of sudden asthma attacks in children. Still, technology-enabled case management, in the context of a patient, parent, and physician partnership, has the capacity to provide better family preparedness and clinician access to patient data in the setting of acute decompensation [ ]. The InSpire system was designed to help physicians and children with asthma develop such a partnership in 2 ways:
- By promoting high-quality two-way communication between the provider and the patient/family by giving both parties accurate, actionable information.
- By making the relationship a true partnership by increasing the child’s self-efficacy and motivation to monitor and manage the disease.
Data-Driven Two-Way Communication
Current asthma treatment guidelines recommend that providers assess treatment adherence routinely and provide adherence promotion interventions as indicated . InSpire aimed to automate this relationship through quality-checks of spirometry maneuvers, tracking of lung function over time, and two-way communication with the provider’s office via the mobile phone. In addition to the issues associated with preventive care, such as remembering to take medications consistently and correctly, treatment of pediatric asthma requires parents and children to make difficult decisions such as when to use different quick-relief medications to stave off or lessen acute attacks. The connectivity and quality-checked data of the InSpire system could possibly support such decision-making with physician approval.
Helping Children Become Partners in Their Care
The provider-patient partnership is possible only when the child becomes a partner by recognizing the ability to take responsibility for managing his/her own health. A recent review of the research on children’s adherence to asthma management found that, while few interventions promoting adherence succeed, children who feel self-efficacy and hope about their asthma are more likely to follow their care plans .
We attempted to address these issues in the InSpire system by incorporating a game into the system. Drawing from design-theory on global timer mechanics and role-playing, the system aimed to incentivize completing spirometry maneuvers. For example, players defeat enemies in the game by making Azmo the Dragon breathe fire by correctly completing spirometry maneuvers ().
The game was built in XNA on a Windows 7 phone and was designed to work on any Android phone. The phone can send the data wirelessly to clinicians and return care recommendations to patients in real-time. We based the game upon titles that are already popular with children aged 7 to 14 and that incorporate effective motivational frameworks. One example comes from Farmville, a simple game that has become enormously popular, with over 33 million unique active users. The game revolves around running your own farm and tending your crops, incorporating something known as a global-timer mechanic. The premise is that the user triggers an event, such as planting a certain crop. In a certain number of real-world hours, the crop must be harvested, or it will wilt and be lost. This has proven to be a powerful trigger [, ] that motivated users to return to the gaming experience on a set schedule. InSpire incorporated similar scenarios where high-reward portions of the game involve spirometry maneuvers. Once these are completed, they cannot be revisited for 8 to 12 hours to prevent excessive use of the spirometer. By spacing these milestones in half-day intervals, we hoped to schedule children to complete their spirometry measures once at morning and at night. Thus InSpire was designed to address the 3 key elements of successful behavior change identified by Fogg (2007), motivation (through games and actionable data), ability (through the power and ubiquity of the mobile phone), and timing of triggers [ ]. Our goal was to incorporate asthma management seamlessly into the child’s lifestyle (see ).
We hypothesized that such use of game design techniques and mechanics to engage children in their asthma monitoring would increase their adherence and self-efficacy of asthma care. Games are already used in health education to make mastering new skills and material more engaging. By taking advantage of children’s natural interest in gaming, this technique of gamification may encourage children to perform chores that they would ordinarily consider boring, such as monitoring lung function . In 2004, the average US early adolescent spent about an hour every day playing electronic games [ , ]. Thus, early adolescents are already in extended daily contact with electronic games, which suggests that a carefully chosen game can attract and maintain youths’ attention, an essential prerequisite for affecting behavior change [ , , ]. In fact, in children with cancer, gamification has been shown to increase adherence to regimens [ ].
The InSpire system was grounded in social cognitive theory and the elaboration likelihood model, which provide models of learning for behavior change using video games [, ]. Social cognitive theory indicates that behavior change is a function of enhanced skills and confidence (self-efficacy), while modeling and feedback are keystones for learning skills [ , ]. The elaboration likelihood model demonstrates that gaining and maintaining a person’s attention is the first step in promoting behavior change. Games add an element of fun, an aspect of both intrinsic and extrinsic motivation, which we anticipate will enhance behavior change through enhanced motivation [ ].
The InSpire system was also designed to use the geolocation feature of most Android phones to warn children and their families of possible triggers (such as high pollen counts, ozone levels, and weather patterns) in real-time through an automatic text alert system tied to the United States National Weather Service. This data is freely available on their sites and updated daily, allowing for simple incorporation of certain asthma triggers into the application’s notification system.
Under-treatment of persistent asthma is common and contributes to impaired quality of life and increased risk for asthma crises. Conversely, over-treatment of asthma increases both medical costs and risk for adverse medication effects. InSpire tracks spirometry readings over time, stores them on a HIPAA-compliant server, and graphs them for interpretation. The ultimate goal was to help analysts develop better predictive models using data collected from daily spirometry measures to find earlier indications of acute decompensation and estimate long-term response on an individual basis.
The spirometer’s hardware and software algorithms were evaluated for their accuracy by comparing them with widely accepted clinical standards. The output accuracy of the spirometer hardware was tested versus an ISO13385 device, and the validation algorithms were tested alongside the CDC released NHANES III spirometry data set .
We tested the feasibility of the game via consultation with children from the target demographic of children aged 7 to 14. We chose this age range based on the age when children begin to acquire and use mobile phones , consultation with pediatric pulmonologists on the youngest age when children can function as active partners in their asthma care, and the age of interest for certain gaming mechanics. We tested the likability of the graphical user interface (GUI) as well as young people’s interest in our incentivizing system at a health fair sponsored by Texas Children’s Hospital. The fair was held in an under-resourced neighborhood of Houston with over 1500 children in attendance. Approximately 200 children played InSpire, and 9 children aged 7 to 14 with asthma more intensively tested the system and completed a survey on its interest and appeal after completing the informed consent process with a parent and the study staff. The survey and health fair observations were approved by The Methodist Hospital Research Institute Institutional Review Board. Future development will be guided by advisory groups of children from the target demographic recruited to take part in an iterative process of participatory design workshops.
The accuracy of the calibrated mobileSpiro sensor hardware was benchmarked against ISO13485-certified Thor PC FlowMeter, an established commercial spirometer. When the flow values from the mobileSpiro were compared to the Thor PC FlowMeter over a range of flows, deviation between the mobileSpiro and the FlowMeter never exceeded 8% across 0 L/s to 6 L/s .
The ability of the software algorithms to detect errors in spirometry maneuvers was tested using the NHANES III database  of raw spirometry curves (N=130,691). The curves were extracted from the database and run through the mobileSpiro validation algorithm. Each NHANES curve was scored on its validity and error type by a technician and by the NHANES computer software. The mobileSpiro successfully detected 95.5% (1141/1195) of cough errors, and 74% (4954/6695) of early termination errors. The false positive rate for the algorithms on these types of errors was 14-15% respectively. Inconsistencies in the NHANES III dataset prevented testing for hesitations [ ].
Nearly 100% of the children with asthma surveyed (N=9) said they would play games like those in the InSpire system if they involved breathing into a spirometer. Two-thirds (6/9) said they would prefer the InSpire system over the spirometer alone, whereas 1/3 (3/9) would prefer having both. No children said they would prefer a conventional spirometer over the InSpire system.
Addressing Adherence Through Meaningful Partnership
For two decades, the strategy for pediatric asthma prevention and control has consisted of 4 relatively simple goals: objective assessment, physician/patient partnership, control of environmental influences, and pharmacologic therapy through individualized care plans. Despite this clarity of purpose, asthma morbidity and mortality have only increased during the same time period, with one commonly cited reason being because patients and families find adhering to protocols difficult.
Using Medicine 2.0 principles of participation, cocreation, and information sharing, we have developed a mobile application that aimed to create a convenient central resource for asthma care. This central resource was designed to incorporate mobile spirometry with real-time feedback and the ability to send clinical information wirelessly. Additionally it was designed to host resources that notify patients about local asthma triggers using their geolocation. Lastly, it was designed to remind them of their asthma care-plan. We aim to provide a “one-stop shop” as part of daily use of mobile phones. Increasing children’s sense of partnership in their care and decreasing the barrier of access to quality, reliable, and personalized health information are necessary goals to achieving improved outcomes for the pediatric asthma population.
Gamification of Asthma Management
Gamification is the use of game design techniques and mechanics to engage audiences and improve behavior-related outcomes. Nike+ and Nintendo’s WiiFit are two successful commercial examples where games have been used to promote fitness. The most successful example in research is FoldIt, a game that is designed so that players can manipulate virtual molecular structures that look like multicolored Tinkertoy sets. Since its inception, over 200,000 players registered and were able to solve a previously intractable protein-folding model in less than 10 days.
There is tremendous potential to apply gamification to other health problems, specifically chronic disease management, whereby the “chore” of adhering to prescribed regimens is replaced with captivating gaming. InSpire utilizes lung function measurement as a unique input device for mobile gameplay. The possibilities are vast, especially by utilizing ever-changing mini-games that produce a form of achievement. We hypothesize that this combination will keep the material fresh and leave children with a sense of accomplishment, further motivating them to perpetuate healthy behaviors.
Mobile Phones as Persuasive Technology
Behavior-change researcher BJ Fogg stated in 2009 that “the mobile phone will soon become the most powerful channel for persuasion” . Thus, we believe that today’s smartphones are a tremendous untapped resource for helping children to take responsibility for their health. In addition to having tremendous computing power, smartphones are highly attractive to children and mobile phones are a ubiquitous part of their lifestyles [ , ]. InSpire’s mobile-phone-based system fits Fogg’s definition of a persuasive technology with “captology” for children, combining as it does a tool for increasing abilities (spirometer, valuable data), a medium that provides experiences (gamification), and a social action function that creates relationships (connectivity and two-way communication with providers and, ultimately, other children with asthma) [ , , ] Thus, we hypothesize that enabling asthma management through InSpire’s persuasive technology will help to reduce barriers to adherence in 3 ways: convenience (access), fun (motivation), and value (see ).
The long-term temporal properties of airway obstruction in asthma have not been well studied. A 2005 article published in Nature noted,
It remains of interest to investigate if a combination of [airway measurements] could serve as predictors of a response to treatment. The ability to accurately and reliably predict individual long-term response would depend on the clinical end-points demonstrating both a small degree of variability within the study population and a large correlation coefficient between predictor and response variable. 
This problem has yet to be answered. Their specific call was for “multiple measurements over a length of time…to establish a more complete profile of response.” InSpire is a step toward developing a predictive model using data collected from daily spirometry measures to estimate long-term response on an individual basis.
The initial surveying of InSpire was limited by the small number of children with asthma (N=9) who participated. In addition, the long-term effects of the key feature “captology” or “stickiness” has yet to be tested. Future randomized controlled studies will address these issues as well as the system’s clinical effects.
Previous efforts at home-monitoring of asthma in children have experienced rapid decline in adherence. An inexpensive monitoring technology combined with the computation, interactive communication, and display ability of a mobile phone is a novel approach to sustainable adherence to lung function monitoring and care plans. Gamification can redefine the way youth conduct health management by inviting them to collaborate in their health. This may better incentivize asthma management and ultimately may be a catalyst for more far-reaching goals.
We plan a pilot study of the prototype device to demonstration that the device is able to engage and motivate early adolescent children, generate valid data, and give them actionable information. Positive results from this trial would justify a larger randomized controlled trial to test its clinical benefit.
This material was based on work supported by the National Science Foundation under Grant No. 0751165. P Elias and N Rajan gratefully acknowledge support from the Finger Fellowship in Sustainable Health. C Dacso gratefully acknowledges support from the Morrie and Rolaine Abramson Family Foundation.
Conflicts of Interest
- Geneva: World Health Organization. 2011. Asthma URL: http://www.who.int/mediacentre/factsheets/fs307/en/ [accessed 2013-04-28] [WebCite Cache]
- National Institutes of Health. Global Initiative for Asthma. In: WHO/NHLBI Workshop Report. National Institutes of Health Publication No. 95–3659. Bethesda, MD: National Institutes of Health; 1995.
- Global strategy for asthma management and prevention. Global initiative for asthma (GINA) 2010 URL: http://www.ginasthma.org/ [accessed 2011-11-22] [WebCite Cache]
- Braman SS. The global burden of asthma. Chest 2006 Jul;130(1 Suppl):4S-12S. [CrossRef] [Medline]
- Centers for Disease Control and Prevention (CDC). Asthma prevalence and control characteristics by race/ethnicity-United States, 2002. MMWR Morb Mortal Wkly Rep 2004 Feb 27;53(7):145-148 [FREE Full text] [Medline]
- Moorman JE, Rudd RA, Johnson CA, King M, Minor P, Bailey C, Centers for Disease Control and Prevention (CDC). National surveillance for asthma--United States, 1980-2004. MMWR Surveill Summ 2007 Oct 19;56(8):1-54 [FREE Full text] [Medline]
- Akinbami LJ, Moorman JE, Garbe PL, Sondik EJ. Status of childhood asthma in the United States, 1980-2007. Pediatrics 2009 Mar;123 Suppl 3:S131-S145 [FREE Full text] [CrossRef] [Medline]
- World Health Organization. May. 2011. WHO factsheet 307: Asthma URL: http://www.who.int/mediacentre/factsheets/fs307/en/index.html [accessed 2011-11-22] [WebCite Cache]
- CDC National Center for Health Statistics. 2011. URL: http://www.cdc.gov/nchs/fastats/asthma.htm [accessed 2011-11-22] [WebCite Cache]
- Merrill C, Owens PL. Agency for Healthcare Research and Quality. 2007 Jun. Statistical Brief #33 URL: http://www.hcup-us.ahrq.gov/reports/statbriefs/sb33.pdf [accessed 2011-11-22] [WebCite Cache]
- The ISAAC Steering Committee. Worldwide variations in the prevalence of asthma symptoms: the International Study of Asthma and Allergies in Childhood (ISAAC). Eur Respir J 1998 Aug;12(2):315-335 [FREE Full text] [Medline]
- Masoli M, Fabian D, Holt S, Beasley R, Global Initiative for Asthma (GINA) Program. The global burden of asthma: executive summary of the GINA Dissemination Committee report. Allergy 2004 May;59(5):469-478. [CrossRef] [Medline]
- Weinberger M. Seventeen years of asthma guidelines: why hasn't the outcome improved for children? J Pediatr 2009 Jun;154(6):786-788. [CrossRef] [Medline]
- Nathan RA, Meltzer EO, Blaiss MS, Murphy KR, Doherty DE, Stoloff SW. Comparison of the Asthma in America and Asthma Insight and Management surveys: did asthma burden and care improve in the United States between 1998 and 2009? Allergy Asthma Proc 2012;33(1):65-76. [CrossRef] [Medline]
- Vermeire PA, Rabe KF, Soriano JB, Maier WC. Asthma control and differences in management practices across seven European countries. Respir Med 2002 Mar;96(3):142-149. [Medline]
- Rabe KF, Vermeire PA, Soriano JB, Maier WC. Clinical management of asthma in 1999: the Asthma Insights and Reality in Europe (AIRE) study. Eur Respir J 2000 Nov;16(5):802-807 [FREE Full text] [Medline]
- Lai CK, De Guia TS, Kim YY, Kuo SH, Mukhopadhyay A, Soriano JB, Asthma Insights and Reality in Asia-Pacific Steering Committee. Asthma control in the Asia-Pacific region: the Asthma Insights and Reality in Asia-Pacific Study. J Allergy Clin Immunol 2003 Feb;111(2):263-268. [CrossRef] [Medline]
- Adachi M, Morikawa A, Ishihara K. Asthma insights & reality in Japan (AIRJ). Arerugi 2002 May;51(5):411-420. [Medline]
- Kupczyk M, Haahtela T, Cruz AA, Kuna P. Reduction of asthma burden is possible through National Asthma Plans. Allergy 2010 Apr;65(4):415-419. [CrossRef] [Medline]
- Li JT. Toward the optimal control of asthma. Mayo Clin Proc 2009 Aug;84(8):673-674 [FREE Full text] [CrossRef] [Medline]
- Haahtela T, Tuomisto LE, Pietinalho A, Klaukka T, Erhola M, Kaila M, et al. A 10 year asthma programme in Finland: major change for the better. Thorax 2006 Aug;61(8):663-670 [FREE Full text] [CrossRef] [Medline]
- Yoos HL, Kitzman H, McMullen A, Sidora K. Symptom perception in childhood asthma: how accurate are children and their parents? J Asthma 2003 Feb;40(1):27-39. [Medline]
- Sleath B, Ayala GX, Gillette C, Williams D, Davis S, Tudor G, et al. Provider demonstration and assessment of child device technique during pediatric asthma visits. Pediatrics 2011 Apr;127(4):642-648 [FREE Full text] [CrossRef] [Medline]
- Bongers T, O'Driscoll BR. Effects of equipment and technique on peak flow measurements. BMC Pulm Med 2006;6:14 [FREE Full text] [CrossRef] [Medline]
- Kaufmann M, Hartl S, Geyer K, Breyer MK, Burghuber OC. Measuring FEV(6) for detecting early airway obstruction in the primary care setting. Quality and utility of the new PiKo-6 device. Respiration 2009;78(2):161-167. [CrossRef] [Medline]
- Chan DS, Callahan CW, Hatch-Pigott VB, Lawless A, Proffitt HL, Manning NE, et al. Internet-based home monitoring and education of children with asthma is comparable to ideal office-based care: results of a 1-year asthma in-home monitoring trial. Pediatrics 2007 Mar;119(3):569-578 [FREE Full text] [CrossRef] [Medline]
- Burkhart PV, Rayens MK, Oakley MG, Abshire DA, Zhang M. Testing an intervention to promote children's adherence to asthma self-management. J Nurs Scholarsh 2007;39(2):133-140. [CrossRef] [Medline]
- Milgrom H, Bender B, Ackerson L, Bowry P, Smith B, Rand C. Noncompliance and treatment failure in children with asthma. J Allergy Clin Immunol 1996 Dec;98(6 Pt 1):1051-1057. [Medline]
- The Telegraph. 2009. Children get first mobile phone at average age of eight URL: http://www.telegraph.co.uk/technology/news/4680507/Children-get-first-mobile-phone-at-average-age-of-eight.html [accessed 2011-11-22] [WebCite Cache]
- Gupta S, Chang P, Anyigbo N, Saharwal A. mobileSpiro: accurate mobile spirometry for self-management of asthma. 2011 Presented at: First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare; November 1, 2011; Seattle, WA. [CrossRef]
- Finkelstein JA, Lozano P, Fuhlbrigge AL, Carey VJ, Inui TS, Soumerai SB, Pediatric Asthma Care Patient Outcomes Research Team. Practice-level effects of interventions to improve asthma care in primary care settings: the Pediatric Asthma Care Patient Outcomes Research Team. Health Serv Res 2005 Dec;40(6 Pt 1):1737-1757 [FREE Full text] [CrossRef] [Medline]
- Drotar D, Bonner MS. Influences on adherence to pediatric asthma treatment: a review of correlates and predictors. J Dev Behav Pediatr 2009 Dec;30(6):574-582. [CrossRef] [Medline]
- Fogg BJ, Eckles D, Bogost I, Consolvo S, Holmen E, Spasojevic M, et al. Mobile persuasion: 20 perspectives on the future of behavior change. Standford, CA: Stanford Captology Media; 2007.
- Baranowski T, Buday R, Thompson DI, Baranowski J. Playing for real: video games and stories for health-related behavior change. Am J Prev Med 2008 Jan;34(1):74-82 [FREE Full text] [CrossRef] [Medline]
- Roberts D. Kaiser Family Foundation Study. 2005 Mar. Generation M: media in the lives of 8-18 year olds URL: http://www.kff.org/entmedia/loader.cfm?url=/commonspot/security/getfile.cfm&PageID=51809 [accessed 2011-11-22] [WebCite Cache]
- Cummings HM, Vandewater EA. Relation of adolescent video game play to time spent in other activities. Arch Pediatr Adolesc Med 2007 Jul;161(7):684-689. [CrossRef] [Medline]
- Bandura A. Social foundations for thought and action: a social cognitive theory. In: Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, N.J: Prentice-Hall; 1986.
- Fogg BJ. Persuasive Technology: Using Computers to Change What We Think and Do. Amsterdam, Boston: Morgan Kaufmann; 2003.
- Kato PM, Cole SW, Bradlyn AS, Pollock BH. A video game improves behavioral outcomes in adolescents and young adults with cancer: a randomized trial. Pediatrics 2008 Aug;122(2):e305-e317 [FREE Full text] [CrossRef] [Medline]
- Wilson BJ. Designing media messages about health and nutrition: what strategies are most effective? J Nutr Educ Behav 2007 Apr;39(2 Suppl):S13-S19. [CrossRef] [Medline]
- National Cancer Institute. Theory at glance: a guide for health promotion practice. Bethesda, MD: NIH Publication No. 05-3896; 2005.
- National Center for Health Statistics (NCHS) Centers for Disease Control and Prevention (CDC). National Health and Nutrition Examination Survey Data URL: http://www.cdc.gov/nchs/nhanes/nh3data.htm [accessed 2013-05-03] [WebCite Cache]
- Fogg BJ, Adler R. Texting 4 Health: A Simple, Powerful Way to Change Lives. Palo Alto, CA: Captology Media; 2009.
- Badre G. Does excessive mobile phone use affect sleep in teenagers? In: Proceedings of SLEEP 2008: 22nd Annual Meeting of the Associated Professional Sleep Societies (APSS). 2008 Presented at: APSS 2008; June 7-12, 2008; Baltimore, MD.
- Rideout VJ, Foehr UG, Roberts D. Menlo Park, CA: Kaiser Family Foundation. 2010. Generation M2: Media in the Lives of 8- to 18-Year-Olds URL: http://www.kff.org/entmedia/upload/8010.pdf [accessed 2011-11-22] [WebCite Cache]
- Buston KM, Wood SF. Non-compliance amongst adolescents with asthma: listening to what they tell us about self-management. Fam Pract 2000 Apr;17(2):134-138 [FREE Full text] [Medline]
- Frey U, Brodbeck T, Majumdar A, Taylor DR, Town GI, Silverman M, et al. Risk of severe asthma episodes predicted from fluctuation analysis of airway function. Nature 2005 Dec 1;438(7068):667-670. [CrossRef] [Medline]
|CDC: Centers for Disease Control|
|ED: emergency department|
|GUI: graphical user interface|
|PFM: peak flow meter|
|PLAY: Promote Lung Assessment in Youth|
Edited by G Eysenbach; submitted 22.11.11; peer-reviewed by J Cafazzo, I El Akkary; comments to author 21.02.12; revised version received 06.08.12; accepted 07.08.12; published 21.05.13
©Pierre Elias, Nithin O Rajan, Kara McArthur, Clifford C Dacso. Originally published in Medicine 2.0 (http://www.medicine20.com), 21.05.2013.
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