Ju Young Kim

Ju Young Kim

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 March 2021 in Journal of Obesity & Metabolic Syndrome
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Ju Young KimJu Young Kim
Ju Young Kim
Ju Young Kim. J Obes Metab Syndr 2021;30:20-31. https://doi.org/10.7570/jomes20065

22 June 2016 in Journal of Medical Internet Research
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Journal Article
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Ju Young KimJu Young Kim
Ju Young Kim
NWNathan. E Wineinger
Nathan. E Wineinger
SSSteven. R. Steinhubl
Steven. R. Steinhubl
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

14 January 2016 in PeerJ
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CBCinnamon S. Bloss
Cinnamon S. Bloss
NWNathan E. Wineinger
Nathan E. Wineinger
MPMelissa Peters
Melissa Peters
DBDebra L. Boeldt
Debra L. Boeldt
LALauren Ariniello
Lauren Ariniello
ETEric J. Topol
Eric J. Topol
Background.Mobile health and digital medicine technologies are becoming increasingly used by individuals with common, chronic diseases to monitor their health. Numerous devices, sensors, and apps are available to patients and consumers–some of which have been shown to lead to improved health management and health outcomes. However, no randomized controlled trials have been conducted which examine health care costs, and most have failed to provide study participants with a truly comprehensive monitoring system.Methods.We conducted a prospective randomized controlled trial of adults who had submitted a 2012 health insurance claim associated with hypertension, diabetes, and/or cardiac arrhythmia. The intervention involved receipt of one or more mobile devices that corresponded to their condition(s) (hypertension: Withings Blood Pressure Monitor; diabetes: Sanofi iBGStar Blood Glucose Meter; arrhythmia: AliveCor Mobile ECG) and an iPhone with linked tracking applications for a period of 6 months; the control group received a standard disease management program. Moreover, intervention study participants received access to an online health management system which provided participants detailed device tracking information over the course of the study. This was a monitoring system designed by leveraging collaborations with device manufacturers, a connected health leader, health care provider, and employee wellness program–making it both unique and inclusive. We hypothesized that health resource utilization with respect to health insurance claims may be influenced by the monitoring intervention. We also examined health-self management.Results & Conclusions.There was little evidence of differences in health care costs or utilization as a result of the intervention. Furthermore, we found evidence that the control and intervention groups were equivalent with respect to most health care utilization outcomes. This result suggests there are not large short-term increases or decreases in health care costs or utilization associated with monitoring chronic health conditions using mobile health or digital medicine technologies. Among secondary outcomes there was some evidence of improvement in health self-management which was characterized by a decrease in the propensity to view health status as due to chance factors in the intervention group.

20 May 2015 in PLOS ONE
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JSJong-Mi Seong
Jong-Mi Seong
NCNam-Kyong Choi
Nam-Kyong Choi
JSJu-Young Shin
Ju-Young Shin
YCYoosoo Chang
Yoosoo Chang
YKYe-Jee Kim
Ye-Jee Kim
BPByung-Joo Park
Byung-Joo Park
Data on the comparative effectiveness of oral antidiabetics on cardiovascular outcomes in a clinical practice setting are limited. This study sought to determine whether a differential risk of cardiovascular disease (CVD) exists for the combination of a dipeptidyl peptidase-4 (DPP-4) inhibitor plus metformin versus a sulfonylurea derivative plus metformin or pioglitazone plus metformin. We conducted a cohort study of 349,476 patients who received treatment with a DPP-4 inhibitor, sulfonylurea, or pioglitazone plus metformin for type 2 diabetes using the Korean national health insurance claims database. The incidence of total CVD and individual outcomes of myocardial infarction (MI), heart failure (HF), and ischemic stroke (IS) were assessed using the hazard ratios (HRs) estimated from a Cox proportional-hazards model weighted for a propensity score. During follow-up, 3,881 patients developed a CVD, including 428 MIs, 212 HFs, and 1,487 ISs. The adjusted HR with 95% confidence interval (CI) for a sulfonylurea derivative plus metformin compared with a DPP-4 inhibitor plus metformin was 1.20 (1.09-1.32) for total CVD; 1.14 (1.04-1.91) for MI; 1.07 (0.71-1.62) for HF; and 1.51 (1.28-1.79) for IS. The HRs with 95% CI for total CVD, MI, HF, and IS for pioglitazone plus metformin were 0.89 (0.81-0.99), 1.05 (0.76-1.46), 4.81 (3.53-6.56), and 0.81 (0.67-0.99), respectively. Compared with a DPP-4 inhibitor plus metformin, treatment with a sulfonylurea drug plus metformin was associated with increased risks of total CVD, MI, and IS, whereas the use of pioglitazone plus metformin was associated with decreased total CVD and IS risks.

2 June 2016 in BMC Geriatrics
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YNYou-Seon Nam
You-Seon Nam
JHJong Soo Han
Jong Soo Han
Ju Young KimJu Young Kim
Ju Young Kim
WBWoo Kyung Bae
Woo Kyung Bae
KLKiheon Lee
Kiheon Lee
A high number of elderly people with multiple comorbidities are exposed to the risk of polypharmacy and prescription of potentially inappropriate medication (PIM). The purpose of this study was to determine the prevalence and patterns of PIM prescription in Korean older adults according to the 2012 Beers Criteria. A retrospective study was conducted using data from the Korean Health Insurance Review and Assessment (KHIRA) database of outpatient prescription claims collected from January 1, 2009 to December 31, 2011. A total of 523,811 elderly subjects aged 65 years and older were included in the study, and several covariates related to the prescription of PIMs were obtained from the KHIRA database. These covariates were analyzed using Student’s t test and the chi-square test; furthermore, multivariate logistic regression analysis was used to evaluate the risk factors associated with the prescription of PIMs. A total of 80.96 % subjects were prescribed at least one PIM independent of their diagnosis or condition according to the 2012 Beers Criteria. The most commonly prescribed medication class was first-generation antihistamines with anticholinergic properties (52.33 %). Pain medications (43.04 %) and benzodiazepines (42.53 %) were next in line. When considering subjects’ diagnoses or conditions, subjects diagnosed with central nervous system conditions were most often prescribed PIMs. Female sex, severity of comorbidities, and polypharmacy were significant risk factors for PIM prescriptions. This study confirmed that PIM prescription is common among elderly Koreans. A clinical decision support system should be developed to decrease the prevalence of PIM prescriptions.

8 August 2018 in Journal of Cancer Education
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HPHwa Yeon Park
Hwa Yeon Park
MKMi Jin Kim
Mi Jin Kim
Ju Young KimJu Young Kim
Ju Young Kim
SKSarah Kim
Sarah Kim
JCJi Young Choi
Ji Young Choi
HJHee Yeong Jeong
Hee Yeong Jeong
The number of cancer patients has been rapidly increasing, and while there have been wide variations, cancer survival rates also improved globally. Despite the improved survival rates, supportive care needs of cancer patients have been unmet in various domains. The current study aimed to investigate unmet needs that had potential to be managed by peer supports according to cancer trajectories. We used the comprehensive needs assessment tool in cancer (CNAT) and a modified CNAT to evaluate the unmet needs and peer support needs of cancer patients at the tertiary hospital of South Korea. Of the 402 participants, 335 (83.3%) needed peer support. For patients who had been diagnosed with cancer for more than 5 years, the highest proportion of peer support needs to unmet supportive care was reported in information domain (92.9%). Patients with advanced cancer reported peer support needs in the social/religious/spiritual (84.4%) and practical domains (81.1%). Most of stomach cancer patients needed peer supports to receive information (96.6%). The need for peer supports in the information domain was reported highest according to longer survival period and also according to advanced cancer stages. The proportion of peer support needs in unmet supportive care varied by cancer type. Further interventional studies are needed to investigate satisfaction with peer support in specific domains.