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Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment

Author

Listed:
  • Anindya Ghose
  • Xitong Guo
  • Beibei Li
  • Yuanyuan Dang

Abstract

With today's technological advancements, mobile phones and wearable devices have become extensions of an increasingly diffused and smart digital infrastructure. In this paper, we examine mobile health (mHealth) platforms and their health and economic impacts on the outcomes of chronic disease patients. We partnered with a major mHealth firm that provides one of the largest mHealth apps in Asia specializing in diabetes care. We designed a randomized field experiment based on detailed patient health activities (e.g., exercises, sleep, food intake) and blood glucose values from 1,070 diabetes patients over several months. We find the adoption of the mHealth app leads to an improvement in health behavior, which leads to both short term metrics (reduction in patients' blood glucose and glycated hemoglobin levels) and longer-term metrics (hospital visits and medical expenses). Patients who adopted the mHealth app undertook more exercise, consumed healthier food, walked more steps and slept for longer times. They also were more likely to substitute offline visits with telehealth. A comparison of mobile vs. PC version of the same app demonstrates that mobile has a stronger effect than PC in helping patients make these behavioral modifications with respect to diet, exercise and lifestyle, which leads to an improvement in their healthcare outcomes. We also compared outcomes when the platform facilitates personalized health reminders to patients vs. generic reminders. Surprisingly, we find personalized mobile messages with patient-specific guidance can have an inadvertent (smaller) effect on patient app engagement and lifestyle changes, leading to a lower health improvement. However, they are more like to encourage a substitution of offline visits by telehealth. Overall, our findings indicate the massive potential of mHealth technologies and platform design in achieving better healthcare outcomes.

Suggested Citation

  • Anindya Ghose & Xitong Guo & Beibei Li & Yuanyuan Dang, 2021. "Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment," Papers 2102.05506, arXiv.org, revised Feb 2021.
  • Handle: RePEc:arx:papers:2102.05506
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    References listed on IDEAS

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    Cited by:

    1. Chen‐Nan Liao & Ying‐Ju Chen, 2021. "Design of Long‐Term Conditional Cash Transfer Program to Encourage Healthy Habits," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 3987-4003, November.
    2. Almasri Ammar, 2022. "The Users’ Behavioral Intention to use Mobile Health-Tech Application to Prevent the Spreading of Coronavirus," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 18-33, December.
    3. Pal, Shounak & Biswas, Baidyanath & Gupta, Rohit & Kumar, Ajay & Gupta, Shivam, 2023. "Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach," Journal of Business Research, Elsevier, vol. 156(C).
    4. Chen Chen & Dylan Walker, 2023. "A Bitter Pill to Swallow? The Consequences of Patient Evaluation in Online Health Question-and-Answer Platforms," Information Systems Research, INFORMS, vol. 34(3), pages 867-889, September.
    5. Baudier, Patricia & Kondrateva, Galina & Ammi, Chantal & Chang, Victor & Schiavone, Francesco, 2023. "Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs," Technovation, Elsevier, vol. 120(C).
    6. Niu, Baozhuang & Xu, Haotao & Dai, Zhipeng, 2022. "Check Only Once? Health Information Exchange between Competing Private Hospitals," Omega, Elsevier, vol. 107(C).

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