Abstract
Asthma apps often lack strong theoretical underpinnings. We describe how specific features of asthma apps influenced adolescents’ self-observation, self-judgment, and self-reactions, which are key constructs of Self-Regulation Theory (SRT). Adolescents (ages 12–16) with persistent asthma (n = 20) used two asthma self-management apps over a 1-week period. During semi-structured interviews, participants identified their asthma goals and the app features that best promoted self-observation, self-judgment, and fostered positive self-reactions. Interviews were digitally recorded, transcribed verbatim, and analyzed thematically using MAXQDA. Adolescents’ goals were to reduce the impact of asthma on their lives. Adolescents reported that self-check quizzes, reminders, and charting features increased their ability to self-observe and self-judge their asthma, which, in turn, helped them feel more confident they could manage their asthma independently and keep their asthma well-controlled. Asthma apps can positively influence adolescents’ self-management behaviors via increased self-observation, self-judgment, and increased self-efficacy.
Similar content being viewed by others
References
Centers for Disease Control and Prevention. Vital Signs: asthma prevalence, disease characteristics, and self-management education—United States, 2001–2009. MMWR: Morbidity and Mortality Weekly Report. 2011; 60(17): 547-552.
National Academy on an Aging Society. Childhood asthma: the most common chronic disease among children. 2000; Available at: http://www.agingsociety.org/agingsociety/pdf/asthma.pdf. Accessibility verified August 24, 2015.
Schmier JK, Manjunath R, Halpern MT, Jones ML, Thompson K, Diette GB. The impact of inadequately controlled asthma in urban children on quality of life and productivity. Annals of Allergy, Asthma & Immunology. 2007; 98(3): 245-251.
Akinbami LJ, Moorman JE, Garbe PL, Sondik EJ. Status of childhood asthma in the United States, 1980–2007. Pediatrics. 2009; 123(Suppl): S131-S145.
Juniper EF. Quality of life in adults and children with asthma and rhinitis. Allergy. 1997; 52(10): 971-977.
Lu Y, Mak K-K, van Bever HPS, Ng TP, Mak A, Ho RC. Prevalence of anxiety and depressive symptoms in adolescents with asthma: a meta-analysis and meta-regression. Pediatric Allergy and Immunology. 2012; 23(8): 707-715.
Ayala GX, Miller DL, Zagami E, Riddle C, Willis S, King D. Asthma in middle schools: what students have to say about their asthma. Journal of School Health. 2006; 76(6): 208-214.
Miller BD, Wood BL. Childhood asthma in interaction with family, school, and peer systems: a developmental model for primary care. The Journal of Asthma. 1991; 28(6): 405-414.
Modi AC, Pai AL, Hommel KA, et al. Pediatric self-management: a framework for research, practice, and policy. Pediatrics. 2012; 129(2): 473-485.
Boswell KA, Cook CL, Burch SP, Eaddy MT, Cantrell CR. Associating medication adherence with improved outcomes: a systematic literature review. American Journal Pharmacy Benefits. 2012; 4(4): 97-108.
Guevara JP, Wolf FM, Grum CM, Clark NM. Effects of educational interventions for self management of asthma in children and adolescents: systematic review and meta-analysis. BMJ. 2003; 326(7402): 1308-1309.
Mammen J, Rhee H. Adolescent asthma self-management: a concept analysis and operational definition. Pediatric Allergy Immunology and Pulmonology. 2012; 25(4): 180-189.
Milgrom H, Bender B, Ackerson L, Bowrya P, Smith B, Rand C. Noncompliance and treatment failure in children with asthma. Journal of Allergy and Clinical Immunology. 1996; 98(6, Pt 1): 1051-1057.
Burgess S, Sly P, Devadason S. Adherence with preventative medication in childhood asthma. Pulmonary Medicine. 2011; 2011: 973849.
McQuaid EL, Kopel SJ, Klein RB, Fritz GK. Medication adherence in pediatric asthma: reasoning, responsibility, and behavior. Journal of Pediatric Psychology. 2003; 28(5): 323-333.
Sleath B, Ayala GX, Gillette C, et al. Provider demonstration and assessment of child device technique during pediatric asthma visits. Pediatrics. 2011; 127(4): 642-648.
Sleath B, Carpenter D, Ayala G, et al. Provider discussion, education, and question-asking about control medications during pediatric asthma visits. International Journal of Pediatrics. 2011; 2011: 212160.
Sleath B, Carpenter D, Sayner R, et al. Child and caregiver involvement and shared decision making during asthma pediatric visits. Journal of Asthma. 2011; 48: 1022-1031.
Washington D, Yeatts K, Sleath B, et al. Communication and education about triggers and environmental control strategies during pediatric asthma visits. Patient Education and Counseling. 2012; 86(1): 63-69.
National Heart, Lung, and Blood Institute. Expert Panel Report 3: Guidelines for the Diagnosis and Management of Asthma. Report No: 07–4051. 2007. Available at http://www.nhlbi.nih.gov/health-pro/guidelines/current/asthma-guidelines/full-report. Accessibility verified August 25, 2015.
Huckvale K, Car M, Morrison C, Car J. Apps for asthma self-management: a systematic assessment of content and tools. BMC Medicine. 2012; 10(1): 144.
Huckvale K, Morrison C, Ouyang J, Ghaghda A, Car J. The evolution of mobile apps for asthma: an updated systematic assessment of content and tools. BMC Medicine. 2015; 13(1): 58.
Rhee H, Allen J, Mammen J, Swift M. Mobile phone-based asthma self-management aid for adolescents (mASMAA): a feasibility study. Patient Preference and Adherence. 2014; 8: 63-72.
Pinnock H, Slack R, Pagliari C, Price D, Sheikh A. Understanding the potential role of mobile phone‐based monitoring on asthma self‐management: qualitative study. Clinical and Experimental Allergy. 2007; 37(5): 794-802.
Marcano Belisario JS, Huckvale K, Greenfield G, Car J, Gunn LH. Smartphone and tablet self management apps for asthma. Cochrane Database of Systematic Reviews. 2013. doi:10.1002/14651858.CD010013.pub2. No. CD010013.
Ryan D, Price D, Musgrave SD, et al. Clinical and cost effectiveness of mobile phone supported self monitoring of asthma: multicentre randomised controlled trial. BMJ. 2012; 344: e1756.
Liu WT, Huang CD, Wang CH, Lee KY, Lin SM, Kuo HP. A mobile telephone-based interactive self-care system improves asthma control. European Respiratory Journal. 2011; 37(2): 310-317.
Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Translational Behavioral Medicine. 2011; 1(1): 53-71.
Riley WT. Theoretical models to inform technology-based health behavior Interventions. In: Marsch LA, Lord SE, Dallery J, eds. Behavioral Health Care and Technology: Using Science-Based Innovations to Transform Practice. Oxford University Press; 2014:13.
Al-Durra M, Torio M-B, Cafazzo JA. The use of behavior change theory in internet-based asthma self-management interventions: a systematic review. Journal of Medical Internet Research. 2015; 17(4): e89.
Clark NM, Zimmerman BJ. A Social cognitive view of self-regulated learning about health. Health Education Research. 1990; 5(3): 371-379.
Clark NM, Gong M, Kaciroti N. A model of self-regulation for control of chronic disease. Health Education & Behavior. 2001; 28(6): 769-782.
Clark NM. Management of chronic disease by patients. Annual Review of Public Health. 2003; 24(1): 289-313.
Baptist AP, Thompson M, Grossman KS, Mohammed L, Sy A, Sanders GM. Social media, text messaging, and email—preferences of asthma patients between 12 and 40 years old. The Journal of Asthma. 2011; 48(8): 824-830.
Lenhart A. Teens, Social Media and Technology Overview 2015. Washington, D.C.: Pew Research Center; 2015. Available at http://www.pewinternet.org/files/2015/04/PI_TeensandTech_Update2015_0409151.pdf. Accessibility verified August 25, 2015.
Cabana M, Slish K, Nan B, Clark N. Limits of the HEDIS criteria in determining asthma severity for children. Pediatrics. 2004; 114(4): 1049-1055.
Pope C. Mays N. Qualitative research in health care: John Wiley & Sons; 2008.
Pope C, Ziebland S, Mays N. Analysing qualitative data. BMJ. 2000; 320(7227): 114-116.
Ritchie J, Spencer L. Qualitative data analysis for applied policy research. In: Huberman M, Miles MB, eds. The Qualitative Researcher’s Companion. Beverly Hills, CA: Sage; 2002: 305-329.
Miles MB, Huberman AM. Qualitative data analysis. Beverly Hills, CA: Sage; 1984.
Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Medical Research Methodology. 2013; 13: 117.
Buston KM, Wood SF. Non-compliance amongst adolescents with asthma: listening to what they tell us about self-management. Family Practice. 2000; 17(2): 134-138.
Liu AH, Zeiger R, Sorkness C, et al. Development and cross-sectional validation of the Childhood Asthma Control Test. Journal of Allergy and Clinical Immunology. 2007; 119(4): 817-825.
Ayala GX, Gillette C, Williams D, et al. A prospective examination of asthma symptom monitoring: provider, caregiver and pediatric patient influences on peak flow meter use. The Journal of Asthma. 2014; 51(1): 84-90.
Carpenter DM, Stover A, Slota C, et al. An evaluation of physicians’ engagement of children with asthma in treatment-related discussions. Journal of Child Health Care. 2014; 18(3): 261-274.
Fiks AG, Mayne S, Karavite D, et al. Parent-reported outcomes of a shared decision making portal in asthma: a practice-based RCT. Pediatrics. 2015; 135(4): 965-73.
Liu J, Probst JC, Martin AB, Wang J-Y, Salinas CF. Disparities in dental insurance coverage and dental care among US children: the National Survey of Children's Health. Pediatrics. 2007; 119(Suppl1): S12-S21.
Acknowledgments
This project was supported by the American Lung Association. Dr. Carpenter’s salary was partially supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), through Grant KL2TR000084. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NCATS or NIH.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Funding
This project was supported by the American Lung Association. Dr. Carpenter’s salary was partially supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), through Grant KL2TR000084. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NCATS or NIH.
Conflict of Interest
The authors have no conflicts of interest to disclose.
Human and animal rights and informed consent
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Additional information
Implications
Practice: Health care providers should consider recommending apps as self-management tools for adolescents with asthma since apps can enhance adolescents’ self-management behaviors through increased self-observation, self-judgment, and self-efficacy.
Policy : Newly developed apps should be targeted to adolescents and adhere to evidence-based asthma guidelines.
Research : Large-scale trials with a representative sample of adolescents with asthma should be conducted to evaluate whether apps increase self-management behaviors sufficiently in order to positively influence clinical outcomes.
Electronic supplementary material
Below is the link to the electronic supplementary material.
ESM 1
(DOC 37 kb)
About this article
Cite this article
Carpenter, D.M., Geryk, L.L., Sage, A. et al. Exploring the theoretical pathways through which asthma app features can promote adolescent self-management. Behav. Med. Pract. Policy Res. 6, 509–518 (2016). https://doi.org/10.1007/s13142-016-0402-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13142-016-0402-z