Evidence map›Paper›PMID 29799861›Full record

ArticlePloS one2018

Seamless recording of glucometer measurements among older experienced diabetic patients - A study of perception and usability.

Peter Rasche, Alexander Mertens, Talya Miron-Shatz, Corinne Berzon, Christopher M Schlick, Michael Jahn, Stefan Becker

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Peter RascheInstitute of Industrial Engineering and Ergonomics of RWTH Aachen University, Aachen, Germany.
Alexander MertensInstitute of Industrial Engineering and Ergonomics of RWTH Aachen University, Aachen, Germany.
Talya Miron-ShatzCenter for Medical Decision Making, Business School, Ono Academic College, Kiryat Ono, Israel.
Corinne BerzonCenter for Medical Decision Making, Business School, Ono Academic College, Kiryat Ono, Israel.
Christopher M SchlickInstitute of Industrial Engineering and Ergonomics of RWTH Aachen University, Aachen, Germany.
Michael JahnDepartment of Nephrology, University Duisburg-Essen, Essen, Germany.
Stefan BeckerDepartment of Nephrology, University Duisburg-Essen, Essen, Germany.ORCID 0000-0002-0635-6329

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

PerceptionAdultAgedBlood Glucose Self-MonitoringDiabetes MellitusFemaleHumansMaleMiddle AgedSurveys and QuestionnairesWorkload

Identifiers

PMID29799861
PMCPMC5969745

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.