10th EAI International Conference on Pervasive Computing Technologies for Healthcare

Research Article

SMS is My BFF: Positive Impact of a Texting Intervention with Low-Income Children with Asthma

  • @INPROCEEDINGS{10.4108/eai.16-5-2016.2263274,
        author={Tae-Jung Yun and Rosa Arriaga},
        title={ SMS is My BFF: Positive Impact of a Texting  Intervention with Low-Income Children with Asthma },
        proceedings={10th EAI International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={ACM},
        proceedings_a={PERVASIVEHEALTH},
        year={2016},
        month={6},
        keywords={ict mhealth asthma rct sms low-income healthcare},
        doi={10.4108/eai.16-5-2016.2263274}
    }
    
  • Tae-Jung Yun
    Rosa Arriaga
    Year: 2016
    SMS is My BFF: Positive Impact of a Texting Intervention with Low-Income Children with Asthma
    PERVASIVEHEALTH
    EAI
    DOI: 10.4108/eai.16-5-2016.2263274
Tae-Jung Yun1, Rosa Arriaga2,*
  • 1: Samsung Electronics Co., Ltd.
  • 2: Georgia Institute of Technology
*Contact email: arriaga@cc.gatech.edu

Abstract

Asthma disproportionately impacts the lives of children from low-income families. We conducted a three-month SMS intervention study with low-income children in a specialty pulmonology clinic. We found that participants that received either daily text messages or text messages on alternate days had improved lung function compared to a control group that received no messages. Moreover, children in the intervention groups reported being more emotionally connected to their pulmonologist after participating in the study. Qualitative analyses shed light on how the intervention impacted the participants. Children reported that it altered their medication management and enhanced their point of care interactions. Parent interview data indicated that the SMS messages led to increased child-driven communication about asthma. A comparative analysis of the present study with an earlier study showed greater benefits from the SMS intervention for the low- vs. middle- income cohorts. We discuss these findings in terms of how income status affects technology utilization and health outcomes. We also discuss implications for design of future studies that target pediatric patients in general and low-income patients in particular.