ArticleJournal of diabetes science and technology2016
Usability Evaluation of a Blood Glucose Monitoring System With a Spill-Resistant Vial, Easier Strip Handling, and Connectivity to a Mobile App: Improvement of Patient Convenience and Satisfaction.
Article in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Prospects and challenges of deep learning in gynecologic malignancies.Frontiers in oncology · 2025Review
- Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review.Current drug targets · 2025Review
- Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future.Cancer cell international · 2021Review
- Artificial intelligence in the management and treatment of burns: a systematic review.Burns & trauma · 2021Article
- Artificial Intelligence in Surgery: Promises and Perils.Annals of surgery · 2018Review
- One Drop | Mobile on iPhone and Apple Watch: An Evaluation of HbA1c Improvement Associated With Tracking Self-Care.JMIR mHealth and uHealth · 2017Article
- Improved Glycemic Control in a Patient Group Performing 7-Point Profile Self-Monitoring of Blood Glucose and Intensive Data Documentation: An Open-Label, Multicenter, Observational Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProper management of diabetes mellitus requires regular self-monitoring of blood glucose (SMBG). This research evaluated the usability of the Accu-Chek® Guide Meter that includes a spill-resistant vial, easier strip handling, and wireless connectivity to a mobile app.
methodsA total of 197 participants were allowed to experience typical blood glucose testing tasks on the Accu-Chek Guide Meter, review data such as last result, patterns, and target percentage on the meter and on the mobile app, and then evaluate their experience through a human factors usability survey. Participants used a 6-point agree/disagree scale to rate 34 market statement questions.
resultsThe results of a Pearson chi-square proportions test for each of the 34 market statement questions showed a significant difference (P < .0001) between the disagree responses (1-3) and agree responses (4-6). An overwhelming majority of participants found all aspects of the system, including the test strips, strip vial, and data analysis on the meter and the mobile app, to be a good fit for their lifestyle and to provide a better testing experience.
conclusionsThis study found superior usability of the new meter system over the participants' current meters in both the United States and France.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.