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To improve diabetes self-management technology use, individuals must find devices useful and view diabetes as a serious threat. Perceived usefulness and health threat significantly predict adoption of new hypoglycemia detection devices.

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Area of Science:

  • Health Informatics
  • Behavioral Science
  • Diabetes Technology

Background:

  • Diabetes affects over 425 million globally, necessitating effective self-management support.
  • Current technology adherence and engagement are insufficient, requiring further investigation.

Purpose of the Study:

  • To develop an integrated belief model predicting intention to use a diabetes self-management device.
  • Identify key constructs influencing the adoption of hypoglycemia detection technology.

Main Methods:

  • Surveyed 212 adults with type 1 diabetes using Qualtrics.
  • Assessed preferences for a tremor-monitoring hypoglycemia alert device.
  • Utilized constructs from the Health Belief Model and Technology Acceptance Model.

Main Results:

  • Intention to use the device was significantly predicted (R²=0.65).
  • Perceived usefulness (β=.33) and perceived health threat (β=.55) were the strongest predictors.
  • Cues to action (β=.17) and lower resistance to change (β=-.19) also influenced intention. Older age correlated with higher perceived health threat.

Conclusions:

  • User adoption of diabetes self-management devices depends on perceived utility and the perceived severity of diabetes.
  • The integrated model effectively predicts device intention, highlighting the importance of perceived usefulness, health threat, cues to action, and resistance to change.
  • Future research should involve field-testing prototypes and longitudinal interaction assessments.