- Diabetes, obesity and metabolism
- 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
-
Endocrinol Metab. 2024;39(2):364-374. Published online March 21, 2024
-
DOI: https://doi.org/10.3803/EnM.2023.1878
-
Correction in: Endocrinol Metab 2024;39(3):537
-
 Abstract
 PDF Supplementary Material PubReader  ePub
- Background
This 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.
Methods
In 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.
Results
The 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).
Conclusion
Implementing 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.
- Development of Clinical Data Mart of HMG-CoA Reductase Inhibitor for Varied Clinical Research
-
Hun-Sung Kim, Hyunah Kim, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Sun Jung Baik, Seung-Hwan Lee, Jae Hyoung Cho, In Young Choi, Kun-Ho Yoon
-
Endocrinol Metab. 2017;32(1):90-98. Published online February 28, 2017
-
DOI: https://doi.org/10.3803/EnM.2017.32.1.90
-
-
5,543
View
-
60
Download
-
19
Web of Science
-
17
Crossref
-
Abstract
PDFPubReader
- Background
The increasing use of electronic medical record (EMR) systems for documenting clinical medical data has led to EMR data being increasingly accessed for clinical trials. In this study, a database of patients who were prescribed statins for the first time was developed using EMR data. A clinical data mart (CDM) was developed for cohort study researchers. MethodsSeoul St. Mary's Hospital implemented a clinical data warehouse (CDW) of data for ~2.8 million patients, 47 million prescription events, and laboratory results for 150 million cases. We developed a research database from a subset of the data on the basis of a study protocol. Data for patients who were prescribed a statin for the first time (between the period from January 1, 2009 to December 31, 2015), including personal data, laboratory data, diagnoses, and medications, were extracted. ResultsWe extracted initial clinical data of statin from a CDW that was established to support clinical studies; the data was refined through a data quality management process. Data for 21,368 patients who were prescribed statins for the first time were extracted. We extracted data every 3 months for a period of 1 year. A total of 17 different statins were extracted. It was found that statins were first prescribed by the endocrinology department in most cases (69%, 14,865/21,368). ConclusionStudy researchers can use our CDM for statins. Our EMR data for statins is useful for investigating the effectiveness of treatments and exploring new information on statins. Using EMR is advantageous for compiling an adequate study cohort in a short period.
-
Citations
Citations to this article as recorded by  - Ten-year Trends in Infectious Keratitis in South Korea
Chanjoon Park, Hye Yeon Yoon, Young Sik Yoo, Hyun Soo Lee, Hyung Bin Hwang, Kyung Sun Na, Yang Kyung Cho, Eun Chul Kim, So Hyang Chung, Hyun Seung Kim, Yong-Soo Byun
Journal of the Korean Ophthalmological Society.2024; 65(3): 181. CrossRef - Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline
Antoine Lamer, Chloé Saint-Dizier, Nicolas Paris, Emmanuel Chazard
JMIR Medical Informatics.2024; 12: e54590. CrossRef - Clinical Data Warehousing: A Scoping Review
Zhan Wang, Catherine Craven, Mahanaz Syed, Melody Greer, Emel Seker, Shorab Syed, Meredith Nahm Zozus
Journal of the Society for Clinical Data Management.2024;[Epub] CrossRef - Long-term stroke and major bleeding risk in patients with non-valvular atrial fibrillation: A comparative analysis between non-vitamin K antagonist oral anticoagulants and warfarin using a clinical data warehouse
Hancheol Lee, Jung Hwa Hong, Kwon-Duk Seo
Frontiers in Neurology.2023;[Epub] CrossRef - Digital Health Data Quality Issues: Systematic Review
Rehan Syed, Rebekah Eden, Tendai Makasi, Ignatius Chukwudi, Azumah Mamudu, Mostafa Kamalpour, Dakshi Kapugama Geeganage, Sareh Sadeghianasl, Sander J J Leemans, Kanika Goel, Robert Andrews, Moe Thandar Wynn, Arthur ter Hofstede, Trina Myers
Journal of Medical Internet Research.2023; 25: e42615. CrossRef - Prediction of intradialytic hypotension using pre-dialysis features—a deep learning–based artificial intelligence model
Hanbi Lee, Sung Joon Moon, Sung Woo Kim, Ji Won Min, Hoon Suk Park, Hye Eun Yoon, Young Soo Kim, Hyung Wook Kim, Chul Woo Yang, Sungjin Chung, Eun Sil Koh, Byung Ha Chung
Nephrology Dialysis Transplantation.2023; 38(10): 2310. CrossRef - Carpal tunnel syndrome and tenosynovitis in women with breast cancer associated with hormone therapy
Dong Jae Shin, Kyung Eun Nam, Dae Heon Song, Sun Im, Sun Jae Won, Yeo Hyung Kim, Seong Hoon Lim, Jong In Lee
Medicine.2022; 101(5): e28786. CrossRef - Data Pseudonymization in a Range That Does Not Affect Data Quality: Correlation with the Degree of Participation of Clinicians
Soo-Yong Shin, Hun-Sung Kim
Journal of Korean Medical Science.2021;[Epub] CrossRef - Ten-year patient journey of stage III non-small cell lung cancer patients: A single-center, observational, retrospective study in Korea (Realtime autOmatically updated data warehOuse in healTh care; UNIVERSE-ROOT study)
Hyun Ae Jung, Jong-Mu Sun, Se-Hoon Lee, Jin Seok Ahn, Myung-Ju Ahn, Keunchil Park
Lung Cancer.2020; 146: 112. CrossRef - Real-time autOmatically updated data warehOuse in healThcare (ROOT: An Innovative and Automated Data Collection System) (Preprint)
Hyun Ae Jung, Oksoon Jeong, Dong Kyung Chang, Sehhoon Park, Jong-Mu Sun, Se-Hoon Lee, Jin Seok Ahn, Myung-Ju Ahn, Keunchil Park
JMIR Medical Informatics.2020;[Epub] CrossRef - Long-term effects of various types of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors on changes in glomerular filtration rate in Korea
Seo Yeon Baik, Hyunah Kim, So Jung Yang, Tong Min Kim, Seung-Hwan Lee, Jae Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, Kun-Ho Yoon, Hun-Sung Kim
Frontiers of Medicine.2019; 13(6): 713. CrossRef - Proceed with Caution When Using Real World Data and Real World Evidence
Hun-Sung Kim, Ju Han Kim
Journal of Korean Medical Science.2019;[Epub] CrossRef - Change in ALT levels after administration of HMG‐CoA reductase inhibitors to subjects with pretreatment levels three times the upper normal limit in clinical practice
Hyunah Kim, Hyeseon Lee, Tong Min Kim, So Jung Yang, Seo Yeon Baik, Seung‐Hwan Lee, Jae‐Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun‐Ho Yoon, Hun‐Sung Kim
Cardiovascular Therapeutics.2018;[Epub] CrossRef - Developing a multi-center clinical data mart of ACEI and ARB for real-world evidence (RWE)
Hun-Sung Kim, Sue Hyun Lee, Tong Min Kim, Ju Han Kim
Clinical Hypertension.2018;[Epub] CrossRef - Comparative Analysis of the Suspected Heparin‐Induced Thrombocytopenia Level in Korea
Hun‐Sung Kim, Hyunah Kim, Yoo Jin Jeong, Hyunyong Lee, Hyeon Woo Yim, Ji il Kim, In Sung Moon, Jang‐Yong Kim
Basic & Clinical Pharmacology & Toxicology.2017; 121(4): 360. CrossRef - The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG‐CoA reductase inhibitors prescribed in Korean patients
Tong Min Kim, Hyunah Kim, Yoo Jin Jeong, Sun Jung Baik, So Jung Yang, Seung‐Hwan Lee, Jae‐Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun‐Ho Yoon, Hun‐Sung Kim
Pharmacoepidemiology and Drug Safety.2017; 26(10): 1156. CrossRef - Use of Moderate‐Intensity Statins for Low‐Density Lipoprotein Cholesterol Level above 190 mg/dL at Baseline in Koreans
Hun‐Sung Kim, Hyeseon Lee, Sue Hyun Lee, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Sun Jung Baik, Hyunah Kim, Seung‐Hwan Lee, Jae Hyoung Cho, In‐Young Choi, Kun‐Ho Yoon, Ju Han Kim
Basic & Clinical Pharmacology & Toxicology.2017; 121(4): 272. CrossRef
|
KES
