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Health information technologies for patients with diabetes

Author

Listed:
  • Khansa, Lara
  • Davis, Zachary
  • Davis, Heather
  • Chin, Andrea
  • Irvine, Heather
  • Nichols, Linda
  • Lang, Jeffry A.
  • MacMichael, Noah

Abstract

Patients with chronic illnesses, such as diabetes, need daily care and follow-up beyond occasional visits to healthcare providers. Research has shown that overcoming a multifaceted illness, such as diabetes, requires patients to be engaged in the monitoring and management of their own health. Health information technology (HIT) has been shown to empower chronically-ill patients to take charge of their healthcare, and alleviate their daily frustrations while they strive to lead a normal life. In this paper, we surveyed 31 patients with diabetes to identify the major frustrations they experience daily, examine the role of HIT in their current treatment, and identify gaps in their current care and education that, if addressed, could improve their quality of life. Themes identified in our survey results include a lack of interaction with healthcare providers, difficulties in scheduling appointments, a lack of timely communication with healthcare providers, and challenges in managing the complex care of diabetes. The contributions of this paper include a detailed set of recommendations on how HIT can be utilized to help chronically-ill patients live a better life despite their illnesses, with a particular emphasis on diabetes care and management.

Suggested Citation

  • Khansa, Lara & Davis, Zachary & Davis, Heather & Chin, Andrea & Irvine, Heather & Nichols, Linda & Lang, Jeffry A. & MacMichael, Noah, 2016. "Health information technologies for patients with diabetes," Technology in Society, Elsevier, vol. 44(C), pages 1-9.
    • Handle: RePEc:eee:teinso:v:44:y:2016:i:c:p:1-9
    DOI: 10.1016/j.techsoc.2015.11.001
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    References listed on IDEAS

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    1. Khansa, Lara, 2015. "M&As and market value creation in the information security industry," Journal of Economics and Business, Elsevier, vol. 82(C), pages 113-134.
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    Cited by:

    1. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    2. Fox, Stephen & Aranko, Olli, 2017. "Healthcare framing: Critical realist framing for causal interdependencies and uncertainties within healthcare," Technology in Society, Elsevier, vol. 50(C), pages 66-72.
    3. Ryan, Mark, 2022. "The ethics of dietary apps: Technology, health, and the capability approach," Technology in Society, Elsevier, vol. 68(C).
    4. Moreno-Llamas, Antonio & García-Mayor, Jesús & De la Cruz-Sánchez, Ernesto, 2020. "The impact of digital technology development on sitting time across Europe," Technology in Society, Elsevier, vol. 63(C).
    5. Sebastian MP, 2019. "Smart Hospitals: Challenges and Opportunities," Working papers 315, Indian Institute of Management Kozhikode.
    6. Rajak, Manindra & Shaw, Krishnendu, 2019. "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, Elsevier, vol. 59(C).

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