skip to main content
10.1145/2470654.2466233acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

A text message a day keeps the pulmonologist away

Published: 27 April 2013 Publication History

Abstract

The goal of this study was to extend and replicate an SMS health intervention for pediatric asthma patients. This intervention was designed using the Health Belief Model (HBM). Thirty patients were randomly assigned to one of three conditions. In the Knowledge condition patients were queried about their asthma knowledge every other day. In the Knowledge and Symptoms condition patients received a daily text message. They were queried about their symptoms and knowledge of asthma on alternate days. The Control group received no texts. Our main finding is that daily text messages lead to improved health outcomes.
We explain our results in the context of interview data and the HBM. We conclude by suggesting that the HBM can be used to inform and evaluate system design for chronic care beyond asthma and by considering the role that replication studies can play in HCI research.

References

[1]
Akinbami, L. J., Analysis, O., Moorman, J. E., and Liu, X. Asthma prevalence, health care use, and mortality: USA, 2005-2009. National health statistics reports, 32 (2011), 1--14.
[2]
Anhøj, J. and Møldrup, C. 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. Journal of Medical Internet Research 6, 4 (2004), e42.
[3]
Anhøj, J. and Nielsen, L. Quantitative and Qualitative Usage Data of an Internet-Based Asthma Monitoring Tool. Journal of Medical Internet Research 6, 3 (2004), e23.
[4]
Becker, M. H. and Maiman, L. a. Sociobehavioral determinants of compliance with health and medical care recommendations. Medical care 13, 1 (1975), 10--24.
[5]
Becker, M. H., Radius, S. M., Rosenstock, I. M., Drachman, R. H., Schuberth, K. C., and Teets, K. C. Compliance with a medical regimen for asthma: a test of the health belief model. Public health reports (Washington, D.C. 1974) 93, 3 (1974), 268--77.
[6]
Bender, B. G. Are Asthmatic Children Educationally Handicapped?. School Psychology Quarterly 10, 4 (1995), 274--91.
[7]
Braun, V. and Clarke, V. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (2006), 77--101.
[8]
Bush, P. J. and Iannotti, R. J. A Children's Health Belief Model. Medical care 28, 1 (1990), 69--86.
[9]
Carpenter, C. J. A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health communication 25, 8 (2010), 661--9.
[10]
Coffman, J. M., Cabana, M. D., Halpin, H. A., and Yelin, E. H. Effects of Asthma Education on Children's Use of Acute Care Services: A Meta-analysis. Pediatrics 121, 3 (2008), 575--586.
[11]
Consolvo, S., McDonald, D. D. W., and Landay, J. A. Theory-driven design strategies for technologies that support behavior change in everyday life. Proceedings of the 27th international conference on Human factors in computing systems - CHI '09, ACM (2009), 405--414.
[12]
Druss, B. G., Marcus, S. C., Olfson, M., and Pincus, H. A. The most expensive medical conditions in America. Health affairs (Project Hope) 21, 4, 105--11.
[13]
Grimes, A., Kantroo, V., and Grinter, R. E. Let's play! ACM Press, New York, New York, USA, 2010.
[14]
Hug, T. Didactics of microlearning: concepts, discourses and examples. Waxmann, Münster, 2007.
[15]
Jan, R.-L., Wang, J.-Y., Huang, M.-C., Tseng, S.-M., Su, H.-J., and Liu, L.-F. An Internet-Based Interactive Telemonitoring System for Improving Childhood Asthma Outcomes in Taiwan. Telemedicine and eHealth 13, 3 (2007), 257--268.
[16]
Janz, N. K. and Becker, M. H. The Health Belief Model: A Decade Later. Health Education & Behavior 11, 1 (1984), 1--47.
[17]
Juniper, E. F., Guyatt, G. H., Feeny, D. H., Ferrie, P. J., Griffith, L. E., and Townsend, M. Measuring quality of life in children with asthma. Quality of Life Research 5, 1 (1996), 35--46.
[18]
Juniper, E. F., Guyatt, G. H., Feeny, D. H., Ferrie, P. J., Griffith, L. E., and Townsend, M. Measuring quality of life in the parents of children with asthma. Quality of Life Research 5, 1 (1996), 27--34.
[19]
Kung, H.-C., Hoyert, D. L., Xu, J., and Murphy, S. L. Deaths: final data for 2005. National Vital Statistics Reports: From the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System 56, 10 (2008), 1--120.
[20]
Lenhart, A., Ling, R., Campbell, S., and Purcell, K. Teens and mobile phones. Pew Internet and American Life Project. Pew Research Center. http://www.pewInternet.org/Reports/2010/Teens-and-MobilePhones.aspx. Accessed August 8, 2010.
[21]
Mamykina, L., Mynatt, E., Davidson, P., and Greenblatt, D. MAHI: investigation of social scaffolding for reflective thinking in diabetes management. Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, ACM (2008), 477--486.
[22]
Moonie, S. A., Sterling, D. A., Figgs, L., and Castro, M. Asthma status and severity affects missed school days. The Journal of school health 76, 1 (2006), 18--24.
[23]
Moura, A. and Carvalho, A. A. Mobile Learning: Using SMS in Educational Contexts. In N. Reynolds & M. Turcsányi-Szabó (Eds.). In Key Competencies in the Knowledge Society. 2010, 281--291.
[24]
Neville, R., Greene, A., McLeod, J., Tracy, A., and Surie, J. Mobile phone text messaging can help young people manage asthma. BMJ: British Medical Journal 325, 7364 (2002), 600--600.
[25]
Newacheck, P. W. and Halfon, N. Prevalence, impact, and trends in childhood disability due to asthma. Archives of pediatrics & adolescent medicine 154, 3 (2000), 287--93.
[26]
Olin, G. L. and Rhoades, J. A. The five most costly medical conditions, 1997 and 2002: estimates for the U.S. civilian noninstitutionalized population. 2002.
[27]
Ostojic, V., Cvoriscec, B., Ostojic, S. B., Reznikoff, D., Stipic-Markovic, A., and Tudjman, Z. Improving asthma control through telemedicine: a study of short-message service. Telemedicine Journal and E-Health: The Official Journal of the American Telemedicine Association 11, 1 (2005), 28--35.
[28]
Pinnock, H., Slack, R., Pagliari, C., Price, D., and Sheikh, A. Professional and patient attitudes to using mobile phone technology to monitor asthma: questionnaire survey. Primary care respiratory journal: journal of the General Practice Airways Group 15, 4 (2006), 237--45.
[29]
Program, N. A. E. and P. Expert Panel Report 3 (EPR-3): Guidelines for the Diagnosis and Management of Asthma-Summary Report 2007. The Journal of Allergy and Clinical Immunology 120 (5 Supp, (2007), S94--138.
[30]
Rasmussen, L. M., Phanareth, K., Nolte, H., and Backer, V. Internet-based monitoring of asthma: A long-term, randomized clinical study of 300 asthmatic subjects. Journal of Allergy and Clinical Immunology 115, 6 (2005), 1137--1142.
[31]
Rosenstock, I. M., Strecher, V. J., and Becker, M. H. Social Learning Theory and the Health Belief Model. Health Education & Behavior 15, 2 (1988), 175--183.
[32]
Ryan, D., Cobern, W., Wheeler, J., Price, D., and Tarassenko, L. Mobile phone technology in the management of asthma. Journal of telemedicine and telecare 11 Suppl 1, (2005), 43--6.
[33]
Skinner, E. A., Diette, G. B., Algatt-Bergstrom, P. J., et al. The Asthma Therapy Assessment Questionnaire (ATAQ) for children and adolescents. Disease management: DM 7, 4 (2004), 305--13.
[34]
Solomon, M. R. Information technology to support self-management in chronic care: A systematic review. Disease Management & Health Outcomes 16, 6 (2008), 391--401.
[35]
Strandbygaard, U., Thomsen, S. F., and Backer, V. A daily SMS reminder increases adherence to asthma treatment: a three-month follow-up study. Respiratory medicine 104, 2 (2010), 166--71.
[36]
Toscos, T. Using data to promote healthy behavior in children. Proceedings of the 9th International Conference on Interaction Design and Children IDC '10, ACM Press (2010), 344.
[37]
Wang, L.Y., Zhong, Y., and Wheeler, L. Direct and indirect costs of asthma in school-age children. Preventing chronic disease 2, 1 (2005), A11.
[38]
World Health Organization. WHO - World Health Statistics 2011. World Health Organization, 2011.
[39]
Yun, T.-J., Jeong, H. Y., Hill, T. D., et al. Using SMS to provide continuous assessment and improve health outcomes for children with asthma. Proceedings of the 2nd ACM SIGHIT symposium on International health informatics - IHI '12, ACM Press (2012), 621--630.

Cited By

View all
  • (2024)Embedding caring into remote patient management systemsProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685399(1-13)Online publication date: 13-Oct-2024
  • (2024)“I know I have this till my Last Breath”: Unmasking the Gaps in Chronic Obstructive Pulmonary Disease (COPD) Care in IndiaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642504(1-16)Online publication date: 11-May-2024
  • (2023)Exploring the Lived Experience of Behavior Change Technologies: Towards an Existential Model of Behavior Change for HCIACM Transactions on Computer-Human Interaction10.1145/360349730:6(1-50)Online publication date: 25-Sep-2023
  • Show More Cited By

Index Terms

  1. A text message a day keeps the pulmonologist away

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2013
    3550 pages
    ISBN:9781450318990
    DOI:10.1145/2470654
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 April 2013

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. asthma
    2. rct
    3. replichi
    4. sms
    5. text message

    Qualifiers

    • Research-article

    Conference

    CHI '13
    Sponsor:

    Acceptance Rates

    CHI '13 Paper Acceptance Rate 392 of 1,963 submissions, 20%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

    Upcoming Conference

    CHI 2025
    ACM CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)27
    • Downloads (Last 6 weeks)8
    Reflects downloads up to 16 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Embedding caring into remote patient management systemsProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685399(1-13)Online publication date: 13-Oct-2024
    • (2024)“I know I have this till my Last Breath”: Unmasking the Gaps in Chronic Obstructive Pulmonary Disease (COPD) Care in IndiaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642504(1-16)Online publication date: 11-May-2024
    • (2023)Exploring the Lived Experience of Behavior Change Technologies: Towards an Existential Model of Behavior Change for HCIACM Transactions on Computer-Human Interaction10.1145/360349730:6(1-50)Online publication date: 25-Sep-2023
    • (2023)Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological WellbeingProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580774(1-19)Online publication date: 19-Apr-2023
    • (2022)New Approaches for Improved Service Delivery in Rural SettingsRural Health [Working Title]10.5772/intechopen.101705Online publication date: 12-Jan-2022
    • (2022)Chronically Under-Addressed: Considerations for HCI Accessibility Practice with Chronically Ill PeopleProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3544803(1-15)Online publication date: 23-Oct-2022
    • (2021)“That courage to encourage”: Participation and Aspirations in Chat-based Peer Support for Youth Living with HIVProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445313(1-17)Online publication date: 6-May-2021
    • (2020)Evaluating the Gradual Delivery of Knowledge-focused and Mindset-focused Messages for Facilitating the Acceptance of COPDProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34322184:4(1-23)Online publication date: 18-Dec-2020
    • (2019)"I'm Done with Cancer. What am I Trying to Improve?"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3329189.3329207(81-90)Online publication date: 20-May-2019
    • (2019)Respiratory Self-CareProceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3329189.3329190(129-138)Online publication date: 20-May-2019
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media