Seamless recording of glucometer measurements among older experienced diabetic patients - A study of perception and usability.
Peter RascheAlexander MertensTalya Miron-ShatzCorinne BerzonChristopher M SchlickMichael JahnStefan BeckerPublished in: PloS one (2018)
Self-measurement and documentation of blood-glucose are critical elements of diabetes management, particularly in regimes including insulin. In this study, we analyze the usability of iBG-STAR, the first blood glucose meter connectable to a smartphone. This technology records glucometer measurements, removing the burden of documentation from diabetic patients. This study assesses the potential for implementation of iBG-STAR in routine care. Twelve long-term diabetic patients (4 males; median age of 66.5 years) were enrolled in the study. N = 4/12 reported diabetic polyneuropathy. Reported subjective mental workload for all tasks related to iBG-STAR was on average lower than 12 points, corresponding to the verbal code 'nearly no effort needed'. A "Post Study System Usability Questionnaire", evaluated the glucometer at an average value of 2.06 (SD = 1.02) on a 7-Likert-scale (1 = 'I fully agree' to 7 = 'I completely disagree') for usability. These results represent a positive user-experience. Patients with polyneuropathy may experience physical difficulties in completing the tasks, thereby affecting usability. Technologically savvy patients (n = 6) with a positive outlook on diabetes assessed the product as a suitable tool for themselves and would recommend to other diabetic patients. The main barrier to regular use was treating physicians' inability to retrieve digitally recorded data. This barrier was due to a shortcoming in interoperability of mobile devices and medical information systems.
Keyphrases
- electronic health record
- blood glucose
- type diabetes
- healthcare
- glycemic control
- primary care
- health information
- cardiovascular disease
- blood pressure
- adipose tissue
- cross sectional
- quality improvement
- metabolic syndrome
- palliative care
- risk factors
- physical activity
- social media
- climate change
- artificial intelligence
- health insurance
- advance care planning