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Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes:
Marion Waite1, Clare Martin2, Rachel Franklin3
1Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, United Kingdom.
JMIR Human Factors
|March 15, 2018
Summary
This review found that advanced technology, like insulin pumps and continuous glucose monitoring (CGM), improved treatment satisfaction for adults with type 1 diabetes. User experiences varied, highlighting the need for user-centered technology design.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
- Diabetes Management
Background:
- Type 1 diabetes (T1D) self-management is crucial for preventing complications.
- Advanced technologies can support T1D self-management but require consideration of human factors, usability, and access.
- Previous reviews have not fully addressed human factors in technology adherence for T1D adults.
Purpose of the Study:
- To describe and examine the relationship between human factors and adherence to technology-assisted data logging in adults with T1D.
Main Methods:
- Systematic literature search adhering to PRISMA guidelines.
- Quality appraisal of included studies.
- Data abstraction and categorization into human factor constructs.
Main Results:
- Six key constructs emerged, including adherence, satisfaction with technology transition, time spent on diabetes activities, complexity mediation, 'cognition in the wild,' and user perspectives.
- Increased treatment satisfaction was linked to advanced technology use (insulin pumps, CGM), particularly with improved blood glucose control (<7.00 mmol/L).
- Data logging correlated positively with age when using feedback-rich apps; CGM benefited older adults by mitigating hypoglycemia fears.
Conclusions:
- Transition to advanced diabetes technology generally increased satisfaction, especially with improved glycemic control.
- User experiences revealed frustrations with device calibration, alarms, and the impact of social factors on technology adoption.
- Future technology design must consider diverse sociocultural contexts and engage users, including marginalized groups, to improve adherence and usability.
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