Evidence map›Paper›PMID 34142017›Full record

ArticleJAMIA open2021

An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement.

Ying Chen, Yilin Ning, Prem Thomas, Mark Salloway, Maudrene Luor Shyuan Tan, E-Shyong Tai, Shih Ling Kao, Chuen Seng Tan

Abstract read
In one paragraph

Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Ying ChenSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Yilin NingNUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-6758-4472
Prem ThomasYale Center for Medical Informatics, Yale School of Medicine, New Haven, Connecticut, USA.
Mark SallowaySaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Maudrene Luor Shyuan TanDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
E-Shyong TaiDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Shih Ling KaoDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Chuen Seng TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

objectivesThe objective of this study is to facilitate monitoring of the quality of inpatient glycemic control by providing an open-source tool to compute glucometrics. To allay regulatory and privacy concerns, the tool is usable locally; no data are uploaded to the internet. MATERIALS AND

methodsWe extended code, initially developed for healthcare analytics research, to serve the clinical need for quality monitoring of diabetes. We built an application, with a graphical interface, which can be run locally without any internet connection.

resultsWe verified that our code produced results identical to prior work in glucometrics. We extended the prior work by including additional metrics and by providing user customizability. The software has been used at an academic healthcare institution.

conclusionWe successfully translated code used for research methods into an open source, user-friendly tool which hospitals may use to expedite quality measure computation for the management of inpatients with diabetes.

Indexed as

blood glucose monitoringdiabetes mellitusglycemic controlhospitalhypoglycemiaquality improvement

Identifiers

PMID34142017
PMCPMC8206397

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.