Using SMS to provide continuous assessment and improve health outcomes for children with asthma

Effective communication between health professionals and patients positively influences chronic health management, as does increased patient awareness of their symptoms and general knowledge of the condition. In this study, we leverage the use of mobile phones by pediatric patients and report results from a four-month randomized controlled trial (RCT). We examined: 1) how a SMS system impacted the health outcomes of asthmatic children; and 2) how physicians used a Web service showing the data gathered from the SMS system. Our results show that 1) the simple act of communicating knowledge and symptom awareness information via SMS leads to improved pulmonary function for pediatric patients; and 2) physicians would use the data sent from the SMS system to monitor their patient's asthma management status.

[1]  I. Rosenstock Historical Origins of the Health Belief Model , 1974 .

[2]  S. Kaplan,et al.  Assessing the Effects of Physician-Patient Interactions on the Outcomes of Chronic Disease , 1989, Medical care.

[3]  K. Glanz,et al.  Health behavior and health education : theory, research, and practice , 1991 .

[4]  A. Coates,et al.  Spirometry in the asthmatic child: Is FEF25–75 a more sensitive test than FEV1/FVC? , 1993, Pediatric pulmonology.

[5]  G. Guyatt,et al.  Minimum skills required by children to complete health-related quality of life instruments for asthma: comparison of measurement properties. , 1997, The European respiratory journal.

[6]  M. Moy,et al.  Clinical predictors of health-related quality of life depend on asthma severity. , 2001, American journal of respiratory and critical care medicine.

[7]  Ronald Neville,et al.  Mobile phone text messaging can help young people manage asthma , 2002, BMJ : British Medical Journal.

[8]  L. Mayers Asthma Prevalence , 2003 .

[9]  Stephen S. Intille,et al.  A new research challenge: persuasive technology to motivate healthy aging , 2004, IEEE Transactions on Information Technology in Biomedicine.

[10]  J. Anhøj,et al.  Feasibility of Collecting Diary Data From Asthma Patients Through Mobile Phones and SMS (Short Message Service): Response Rate Analysis and Focus Group Evaluation From a Pilot Study , 2004, Journal of medical Internet research.

[11]  G. Guyatt,et al.  Measuring quality of life in the parents of children with asthma , 1996, Quality of Life Research.

[12]  A. Wu,et al.  The Asthma Therapy Assessment Questionnaire (ATAQ) for children and adolescents. , 2004, Disease management : DM.

[13]  M. Cabana,et al.  Physician asthma education program improves outcomes for children of low-income families. , 2004, Chest.

[14]  J. Anhøj,et al.  Quantitative and Qualitative Usage Data of an Internet-Based Asthma Monitoring Tool , 2004, Journal of medical Internet research.

[15]  L. Wang,et al.  Direct and Indirect Costs of Asthma in School-age Children , 2004, Preventing chronic disease.

[16]  James A. Landay,et al.  Design requirements for technologies that encourage physical activity , 2006, CHI.

[17]  M. Cabana,et al.  Understanding of asthma management: Medicaid parents' perspectives. , 2006, Chest.

[18]  Nick Bontis,et al.  User acceptance of wireless short messaging services: Deconstructing perceived value , 2007, Inf. Manag..

[19]  H. Mussaffi,et al.  Computerised paediatric asthma quality of life questionnaires in routine care , 2007, Archives of Disease in Childhood.

[20]  V. Duvvuri,et al.  Information and communication technology developments in asthma management: a systematic review. , 2007, Indian journal of medical sciences.

[21]  M. Solomon Information Technology to Support Self-Management in Chronic Care , 2008 .

[22]  Lena Mamykina,et al.  MAHI: investigation of social scaffolding for reflective thinking in diabetes management , 2008, CHI.

[23]  Yolande Berbers,et al.  Mobile phones assisting with health self-care: a diabetes case study , 2008, Mobile HCI.

[24]  David W. McDonald,et al.  Theory-driven design strategies for technologies that support behavior change in everyday life , 2009, CHI.

[25]  B. Fjeldsoe,et al.  Behavior change interventions delivered by mobile telephone short-message service. , 2009, American journal of preventive medicine.

[26]  Jesús Favela,et al.  Ecological Validity and Pervasiveness in the Evaluation of Ubiquitous Computing Technologies for Health Care , 2010, Int. J. Hum. Comput. Interact..

[27]  Rebecca E. Grinter,et al.  Let's play!: mobile health games for adults , 2010, UbiComp.

[28]  Bengisu Tulu,et al.  The rise of a health-IT academic focus , 2010, Commun. ACM.

[29]  Rosa I. Arriaga,et al.  Physician usage of technology and opportunities for continuous care management of pediatric asthma patients , 2010, 2010 4th International Conference on Pervasive Computing Technologies for Healthcare.

[30]  L. Akinbami,et al.  Asthma prevalence, health care use, and mortality: United States, 2005-2009. , 2011, National health statistics reports.

[31]  M. Cabana,et al.  Impact of Physician Asthma Care Education on Patient Outcomes* , 2014, Health education & behavior : the official publication of the Society for Public Health Education.