Evidence map›Paper›PMID 38509668›Full record

Observational studyEndocrinology and metabolism (Seoul, Korea)2024

Effects of an Electronic Medical Records-Linked Diabetes Self-Management System on Treatment Targets in Real Clinical Practice: Retrospective, Observational Cohort Study.

So Jung Yang, Sun-Young Lim, Yoon Hee Choi, Jin Hee Lee, Kun-Ho Yoon

Erratum issuedOpen access · diamondAbstract readObservational Study
In one paragraph

Observational study in Endocrinology and metabolism (Seoul, Korea), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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, 2 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

So Jung YangDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Sun-Young LimDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yoon Hee ChoiDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jin Hee LeeThe Catholic Institute of Smart Healthcare Center, The Catholic University of Korea, Seoul, Korea.
Kun-Ho YoonDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Catholic University of Korea · KRSeoul Medical Center · KR

Funding

Ministry of Health and Welfare HC19C0341Ministry of Science and ICTNational Research Foundation of Korea 2015M3A9D7076174
6 · The paper itself

Abstract

backgruoundThis study evaluated the effects of a mobile diabetes management program called "iCareD" (College of Medicine, The Catholic University of Korea) which was integrated into the hospital's electronic medical records system to minimize the workload of the healthcare team in the real clinical practice setting.

methodsIn this retrospective observational study, we recruited 308 patients. We categorized these patients based on their compliance regarding their use of the iCareD program at home; compliance was determined through self-monitored blood glucose inputs and message subscription rates. We analyzed changes in the ABC (hemoglobin A1c, blood pressure, and low-density lipoprotein cholesterol) levels from the baseline to 12 months thereafter, based on the patients' iCareD usage patterns.

resultsThe patients comprised 92 (30%) non-users, 170 (55%) poor-compliance users, and 46 (15%) good-compliance users; the ABC target achievement rate showed prominent changes in good-compliance groups from baseline to 12 months (10.9% vs. 23.9%, P<0.05), whereas no significant changes were observed for poor-compliance users and non-users (13.5% vs. 18.8%, P=0.106; 20.7% vs. 14.1%, P=0.201; respectively).

conclusionImplementing the iCareD can improve the ABC levels of patients with diabetes with minimal efforts of the healthcare team in real clinical settings. However, the improvement of patients' compliance concerning the use of the system without the vigorous intervention of the healthcare team needs to be solved in the future.

Indexed as

Electronic Health RecordsGlycated HemoglobinSelf-ManagementAdultAgedBlood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPatient ComplianceRepublic of KoreaRetrospective StudiesBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanBlood glucose self-monitoringGlycemic controlSelf-managementTelemedicine

Identifiers

PMID38509668
PMCPMC11066442
OpenAlexW4393052311

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.