Evidence map›Paper›PMID 29667107›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2018

A Computer-Based Glucose Management System Reduces the Incidence of Forgotten Glucose Measurements: A Retrospective Observational Study.

Tsuyoshi Okura, Kei Teramoto, Rie Koshitani, Yohei Fujioka, Yusuke Endo, Masaru Ueki, Masahiko Kato, Shin-Ichi Taniguchi, Hiroshi Kondo, Kazuhiro Yamamoto

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Observational
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

10 authors.

Tsuyoshi OkuraDivision of Cardiovascular Medicine, Endocrinology and Metabolism, Department of Molecular Medicine and Therapeutics, Tottori University Faculty of Medicine, Yonago, Tottori, Japan. ohkura@med.tottori-u.ac.jp.ORCID http://orcid.org/0000-0003-3713-6617
Kei TeramotoDivision of Medical Informatics, Tottori University Hospital, Yonago, Tottori, Japan.
Rie KoshitaniDivision of Nursing, Tottori University Hospital, Yonago, Tottori, Japan.
Yohei FujiokaDivision of Cardiovascular Medicine, Endocrinology and Metabolism, Department of Molecular Medicine and Therapeutics, Tottori University Faculty of Medicine, Yonago, Tottori, Japan.
Yusuke EndoAdvanced Medicine, Innovation and Clinical Research Center, Tottori University Hospital, Yonago, Tottori, Japan.
Masaru UekiAdvanced Medicine, Innovation and Clinical Research Center, Tottori University Hospital, Yonago, Tottori, Japan.
Masahiko KatoDivision of Cardiovascular Medicine, Endocrinology and Metabolism, Department of Molecular Medicine and Therapeutics, Tottori University Faculty of Medicine, Yonago, Tottori, Japan.
Shin-Ichi TaniguchiDepartment of Regional Medicine, Tottori University Faculty of Medicine, Yonago, Tottori, Japan.
Hiroshi KondoDivision of Medical Informatics, Tottori University Hospital, Yonago, Tottori, Japan.
Kazuhiro YamamotoDivision of Cardiovascular Medicine, Endocrinology and Metabolism, Department of Molecular Medicine and Therapeutics, Tottori University Faculty of Medicine, Yonago, Tottori, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFrequent glucose measurements are needed for good blood glucose control in hospitals; however, this requirement means that measurements can be forgotten. We developed a novel glucose management system using an iPod

methodsA time schedule system for glucose measurement was developed using point-of-care testing, an iPod

resultsApproximately 7000 glucose measurements were recorded per month. Before implementation of the system, the average number of times measurements were forgotten was 4.8 times per month. This significantly decreased to 2.6 times per month after the system started. We also analyzed the incidence of forgotten glucose measurements as a proportion of the total number of measurements for each period and found a significant difference between the two 9-month periods (43/64,049-24/65,870, P = 0.014, chi-squared test).

conclusionsThis computer-based blood glucose monitoring system is useful for the management of glucose monitoring in hospitals.

fundingJohnson & Johnson Japan.

Indexed as

Computer informaticsGlucose monitoringIn-hospital careRisk management

Identifiers

PMID29667107
PMCPMC5984930

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Registered trials

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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.