Chip-Jin NG

Dr. Chip-Jin NG

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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22 June 2020 in Scientific Reports
Verified
Journal Article
Open access
PDF file
CCCheng-Yu Chien
Cheng-Yu Chien
SFShao-Yu Fang
Shao-Yu Fang
LTLi-Heng Tsai
Li-Heng Tsai
STShang-Li Tsai
Shang-Li Tsai
CCChen-Bin Chen
Chen-Bin Chen
CNChip-Jin NG
Chip-Jin NG
Cardiopulmonary resuscitation (CPR) training and its quality are critical in improving the survival rate of cardiac arrest. This randomized controlled study investigated the efficacy of a newly developed CPR training program for the public in a Taiwanese setting. A total of 832 adults were randomized to either a traditional or blended (18-minute e-learning plus 30-minute hands-on) compression-only CPR training program. The primary outcome was compression depth. Secondary outcomes included CPR knowledge test, practical test, quality of CPR performance, and skill retention. The mean compression depth was 5.21 cm and 5.24 cm in the blended and traditional groups, respectively. The mean difference in compression depth between groups was −0.04 (95% confidence interval −0.13 to infinity), demonstrating that the blended CPR training program was non-inferior to the traditional CPR training program in compression depth after initial training. Secondary outcome results were comparable between groups. Although the mean compression depth and rate were guideline-compliant, only half of the compressions were delivered with adequate depth and rate in both groups. CPR knowledge and skill retained similarly in both groups at 6 and 12 months after training. The blended CPR training program was non-inferior to the traditional CPR training program. However, there is still room for improvement in optimizing initial skill performance as well as skill retention. Clinical Trial Registration: NCT03586752; www.clinicaltrial.gov

4 January 2022 in BMC Infectious Diseases
Verified
Journal Article
Open access
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CLChih-Huang Li
Chih-Huang Li
Chen-June SeakChen-June Seak
Chen-June Seak
CCChung-Hsien Chaou
Chung-Hsien Chaou
TSTse‐Hsuan Su
Tse‐Hsuan Su
SGShi-Ying Gao
Shi-Ying Gao
CNChip-Jin NG
Chip-Jin NG
Background: Early diagnosis and treatment of patients with sepsis reduce mortality significantly. In terms of exploring new diagnostic tools of sepsis, monocyte distribution width (MDW), as part of the white blood cell (WBC) differential count, was first reported in 2017. MDW greater than 20 and abnormal WBC count together provided a satisfactory accuracy and was proposed as a novel diagnostic tool of sepsis. This study aimed to compare MDW and procalcitonin (PCT)’s diagnostic accuracy on sepsis in the emergency department.Methods: This was a single-center prospective cohort study. Laboratory examinations including complete blood cell and differentiation count (CBC/DC), MDW, PCT were obtained while arriving at the ED. We divided patients into non-infection, infection without systemic inflammatory response syndrome (SIRS), infection with SIRS, and sepsis-3 groups. This study’s primary outcome is the sensitivity and specificity of MDW, PCT, and MDW + WBC in differentiating septic and non-septic patients. In addition, the cut-off value for MDW was established to maximize sensitivity at an optimal level of specificity.Results: From May 2019 to September 2020, 402 patients were enrolled for data analysis. Patient number in each group was: non-infection 64 (15.9%), infection without SIRS 82 (20.4%), infection with SIRS 202 (50.2%), sepsis-3 15 (7.6%). The AUC of MDW, PCT, and MDW + WBC to predict infection with SIRS was 0.753, 0.704, and 0.784, respectively (p < 0.01). The sensitivity, specificity, PPV, and NPV of MDW using 20 as the cutoff were 86.4%, 54.2%, 76.4%, and 70%, compared to 32.9%, 88%, 82.5%, and 43.4% using 0.5 ng/mL as the PCT cutoff value. On combing MDW and WBC count, the sensitivity and NPV further increased to 93.4% and 80.3%, respectively. In terms of predicting sepsis-3, the AUC of MDW, PCT, and MDW + WBC was 0.72, 0.73, and 0.70, respectively. MDW, using 20 as cutoff, exhibited sensitivity, specificity, PPV, and NPV of 90.6%, 37.1%, 18.7%, and 96.1%, respectively, compared to 49.1%, 78.6%, 26.8%, and 90.6% when 0.5 ng/mL PCT was used as cutoff.Conclusions: In conclusion, MDW is a more sensitive biomarker than PCT in predicting infection-related SIRS and sepsis-3 in the ED. MDW < 20 shows a higher NPV to exclude sepsis-3. Combining MDW and WBC count further improves the accuracy in predicting infection with SIRS but not sepsis-3.Trial registrationThe study was retrospectively registered to the ClinicalTrial.gov (NCT04322942) on March 26th, 2020.

5 January 2023 in The American Journal of Emergency Medicine
Verified
Journal Article
Closed access
CNChip-Jin NG
Chip-Jin NG
LCLiang-Tien Chien
Liang-Tien Chien
CHChien-Hsiung Huang
Chien-Hsiung Huang
CCChung-Hsien Chaou
Chung-Hsien Chaou
SGShi-Ying Gao
Shi-Ying Gao
CCCheng Yu Chien
Cheng Yu Chien

30 December 2021 in Diagnostics
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Journal Article
Open access
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CHChun-Chuan Hsu
Chun-Chuan Hsu
CCChengchi Chu
Chengchi Chu
CLChing-Heng Lin
Ching-Heng Lin
CHChien-Hsiung Huang
Chien-Hsiung Huang
CNChip-Jin NG
Chip-Jin NG
SCShou-Yen Chen
Shou-Yen Chen
Seventy-two-hour unscheduled return visits (URVs) by emergency department patients are a key clinical index for evaluating the quality of care in emergency departments (EDs). This study aimed to develop a machine learning model to predict 72 h URVs for ED patients with abdominal pain. Electronic health records data were collected from the Chang Gung Research Database (CGRD) for 25,151 ED visits by patients with abdominal pain and a total of 617 features were used for analysis. We used supervised machine learning models, namely logistic regression (LR), support vector machine (SVM), random forest (RF), extreme gradient boosting (XGB), and voting classifier (VC), to predict URVs. The VC model achieved more favorable overall performance than other models (AUROC: 0.74; 95% confidence interval (CI), 0.69–0.76; sensitivity, 0.39; specificity, 0.89; F1 score, 0.25). The reduced VC model achieved comparable performance (AUROC: 0.72; 95% CI, 0.69–0.74) to the full models using all clinical features. The VC model exhibited the most favorable performance in predicting 72 h URVs for patients with abdominal pain, both for all-features and reduced-features models. Application of the VC model in the clinical setting after validation may help physicians to make accurate decisions and decrease URVs.

17 August 2022 in Medicina
Verified
Journal Article
Open access
PDF file
CCChien-Wei Cheng
Chien-Wei Cheng
YHYan-BO Huang
Yan-BO Huang
HCHsiao-Yun Chao
Hsiao-Yun Chao
CNChip-Jin NG
Chip-Jin NG
SCShou-Yen Chen
Shou-Yen Chen
(1) Background and Objectives: The COVID-19 pandemic has considerably affected clinical systems, especially the emergency department (ED). A decreased number of pediatric patients and changes in disease patterns at the ED have been noted in recent research. This study investigates the real effect of the pandemic on the pediatric ED comprehensively by performing a systematic review of relevant published articles. (2) Materials and Methods: A systematic review was conducted based on a predesigned protocol. We searched PubMed and EMBASE databases for relevant articles published until 30 November 2021. Two independent reviewers extracted data by using a customized form, and any conflicts were resolved through discussion with another independent reviewer. The aggregated data were summarized and analyzed. (3) Results: A total of 25 articles discussing the impact of COVID-19 on pediatric emergencies were included after full-text evaluation. Geographic distribution analysis indicated that the majority of studies from the European continent were conducted in Italy (32%, 8/25), whereas the majority of the studies from North America were conducted in the United States (24%, 6/25). The majority of the studies included a study period of less than 6 months and mostly focused on the first half of 2020. All of the articles revealed a decline in the number of pediatric patients in the ED (100%, 25/25), and most articles mentioned a decline in infectious disease cases (56%, 14/25) and trauma cases (52%, 13/25). (4) Conclusions: The COVID-19 pandemic resulted in a decline in the number of pediatric patients in the ED, especially in the low-acuity patient group. Medical behavior changes, anti-epidemic policies, increased telemedicine use, and family financial hardship were possible factors. A decline in common pediatric infectious diseases and pediatric trauma cases was noted. Researchers should focus on potential child abuse and mental health problems during the pandemic.

29 April 2024 in JMIR Medical Education
Verified
Journal Article
Open access
CCCheng Yu Chien
Cheng Yu Chien
STShang-Li Tsai
Shang-Li Tsai
CHChien-Hsiung Huang
Chien-Hsiung Huang
MWMing-Fang Wang
Ming-Fang Wang
CLChi-Chun Lin
Chi-Chun Lin
CNChip-Jin NG
Chip-Jin NG
Background: Generally, cardiopulmonary resuscitation (CPR) skills decline substantially over time. By combining web-based self-regulated learning with hands-on practice, blended training can be a time- and resource-efficient approach enabling individuals to acquire or refresh CPR skills at their convenience. However, few studies have evaluated the effectiveness of blended CPR refresher training compared with that of the traditional method. Objective: This study investigated and compared the effectiveness of traditional and blended CPR training through 6-month and 12-month refresher sessions with CPR ability indicators. Methods: This study recruited participants aged ≥18 years from the Automated External Defibrillator Donation Project. The participants were divided into 4 groups based on the format of the CPR training and refresher training received: (1) initial traditional training (a 30-minute instructor-led, hands-on session) and 6-month traditional refresher training (Traditional6 group), (2) initial traditional training and 6-month blended refresher training (an 18-minute e-learning module; Mixed6 group), (3) initial traditional training and 12-month blended refresher training (Mixed12 group), and (4) initial blended training and 6-month blended refresher training (Blended6 group). CPR knowledge and performance were evaluated immediately after initial training. For each group, following initial training but before refresher training, a learning effectiveness assessment was conducted at 12 and 24 months. CPR knowledge was assessed using a written test with 15 multiple-choice questions, and CPR performance was assessed through an examiner-rated skill test and objectively through manikin feedback. A generalized estimating equation model was used to analyze changes in CPR ability indicators. Results: This study recruited 1163 participants (mean age 41.82, SD 11.6 years; n=725, 62.3% female), with 332 (28.5%), 270 (23.2%), 258 (22.2%), and 303 (26.1%) participants in the Mixed6, Traditional6, Mixed12, and Blended6 groups, respectively. No significant between-group difference was observed in knowledge acquisition after initial training (P=.23). All groups met the criteria for high-quality CPR skills (ie, average compression depth: 5-6 cm; average compression rate: 100-120 beats/min; chest recoil rate: >80%); however, a higher proportion (98/303, 32.3%) of participants receiving blended training initially demonstrated high-quality CPR skills. At 12 and 24 months, CPR skills had declined in all the groups, but the decline was significantly higher in the Mixed12 group, whereas the differences were not significant between the other groups. This finding indicates that frequent retraining can maintain high-quality CPR skills and that blended refresher training is as effective as traditional refresher training. Conclusions: Our findings indicate that 6-month refresher training sessions for CPR are more effective for maintaining high-quality CPR skills, and that as refreshers, self-learning e-modules are as effective as instructor-led sessions. Although the blended learning approach is cost and resource effective, factors such as participant demographics, training environment, and level of engagement must be considered to maximize the potential of this approach. Trial Registration: IGOGO NCT05659108; https://www.cgmh-igogo.tw