Publications by authors named "Yeonhoon Jang"

To enhance interoperability among disparate healthcare systems, standardized terminologies and transmission protocols are in the process of initiation across Korean medical institutions. A survey was conducted among 182 employees of healthcare facilities including doctors, nurses, administrative staff, and public health workers. This study investigates healthcare employee' perceptions and acceptance of implementing healthcare data standards, using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework.

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Background: Lifestyle factors are important contributors to the risk of colorectal cancer (CRC). This study developed and validated an age-based CRC risk-prediction model incorporating lifestyle factors using the National Health Insurance Service (NHIS)-National Sample Cohort database.

Methods: Individuals who underwent the National Health Examination between 2009 and 2012 were eligible as study participants.

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Article Synopsis
  • About 62.3% of critically ill patients admitted for sepsis developed acute kidney injury (SA-AKI) during their hospital stay.
  • The study found that severe SA-AKI significantly increased the risk of in-hospital mortality among these patients.
  • Proper hydration and fluid resuscitation within the first hour of treatment were linked to lower mortality rates in patients with severe SA-AKI.
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This study investigates the feasibility of accurately predicting adverse health events without relying on costly data acquisition methods, such as laboratory tests, in the era of shifting healthcare paradigms towards community-based health promotion and personalized preventive healthcare through individual health risk assessments (HRAs). We assessed the incremental predictive value of four categories of predictor variables-demographic, lifestyle and family history, personal health device, and laboratory data-organized by data acquisition costs in the prediction of the risks of mortality and five chronic diseases. Machine learning methodologies were employed to develop risk prediction models, assess their predictive performance, and determine feature importance.

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Importance: Dexmedetomidine is a widely used sedative in the intensive care unit (ICU) and has unique properties that may be associated with reduced occurrence of new-onset atrial fibrillation (NOAF).

Objective: To investigate whether the use of dexmedetomidine is associated with the incidence of NOAF in patients with critical illness.

Design, Setting, And Participants: This propensity score-matched cohort study was conducted using the Medical Information Mart for Intensive Care-IV database, which includes records of patients admitted to the ICU at Beth Israel Deaconess Medical Center in Boston dating 2008 through 2019.

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Backgruound: Although obesity is a well-known risk factor of type 2 diabetes mellitus (T2DM), there is scant data on discriminating the contribution of previous obesity and recent weight gain on developing T2DM.

Methods: We analyzed the Korean National Health Insurance Service-Health Screening Cohort data from 2002 to 2015 where Korean residents underwent biennial health checkups. Participants were classified into four groups according to their obesity status (body mass index [BMI] ≥25 kg/m2) before and after turning 50 years old: maintaining normal (MN), becoming obese (BO), becoming normal (BN), and maintaining obese (MO).

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Background: To evaluate the current status of emotional exhaustion and peritraumatic distress of healthcare workers (HCWs) in the COVID-19 pandemic, and identify factors associated with their mental health status.

Methods: An online survey involving 1068 of consented HCWs that included nurses, physicians, and public health officers was conducted in May 2020. Descriptive statistics and multivariate regression analyses were performed on the collected data.

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Objective: This study aims to explore factors associated with the work intention of hospital workers in the early stages of the coronavirus disease (COVID-19) outbreak in South Korea.

Methods: An online self-reported survey was conducted in a tertiary hospital. Respondents were asked to report their perceived threat and perceived risk of infection, evaluation of hospital response, demographics, and job-related factors.

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