Pub Date : 2021-02-28DOI: 10.21032/JHIS.2021.46.1.8
Mirae Jo, Heeyoung Oh, S. Jang
The Effect of Residence in Underserved Emergency Medical Services Areas on Awareness of Myocardial Infarction Symptoms in Korea Mirae Jo, Heeyoung Oh, Suk-Yong Jang Doctoral Student, Department of Nursing, Graduate School of Eulji University, Daejeon; Professor, College of Nursing, Eulji University, Daejeon; Professor, Department of Preventive Medicine, Eulji University School of Medicine, Daejeon, Korea
{"title":"The Effect of Residence in Underserved Emergency Medical Services Areas on Awareness of Myocardial Infarction Symptoms in Korea","authors":"Mirae Jo, Heeyoung Oh, S. Jang","doi":"10.21032/JHIS.2021.46.1.8","DOIUrl":"https://doi.org/10.21032/JHIS.2021.46.1.8","url":null,"abstract":"The Effect of Residence in Underserved Emergency Medical Services Areas on Awareness of Myocardial Infarction Symptoms in Korea Mirae Jo, Heeyoung Oh, Suk-Yong Jang Doctoral Student, Department of Nursing, Graduate School of Eulji University, Daejeon; Professor, College of Nursing, Eulji University, Daejeon; Professor, Department of Preventive Medicine, Eulji University School of Medicine, Daejeon, Korea","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":"46 1","pages":"8-18"},"PeriodicalIF":0.0,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42599003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-28DOI: 10.21032/JHIS.2021.46.1.19
Soon-Rim Suh, Darae Woo, Song, Yeoungsuk
Objectives: The aim of this study was to identify predictive factors (fatigue, labor intensity, quality of sleep, and job stress) of medication errors in clinical nurses to improve patients’ safety. Methods: The participants of this study were 148 female nurses who have clinical experience for more than 1 year at K hospital and pregnant nurses among them were excluded. The data were collected from February 27th to March 20th, 2019. The measurements of medication errors, fatigue, labor intensity, quality of sleep, and job stress were used. Data were analyzed with descriptive statistics, t-test, ANOVA, Scheffé test, Pearson correlation coefficients and multiple regression analysis using IBM SPSS/WIN 23.0. Results: The predictive factors associated with nurses’ medication errors were clinical experience (β= -0.41), fatigue (β= 0.31), work department emergency room (β= 0.28), work department surgery ward (β= 0.25), and job stress (β= 0.23). The results showed that the nurses who had less clinical experience and felt more fatigue or job stress, were likely to have more medication errors. Also, the nurses who work in emergency room or surgery units, experience more medication errors. Conclusions: Clinical experience, fatigue, work area-emergency room, work area-surgery word and job stress were the main influential factors on medication errors of clinic nurse. Theses influential factors should be integrally considered in nursing management to decrease medication errors. Especially, it is needed to develop a programs that can indirectly improve clinical experience to prevent medication errors.
{"title":"The Predictive Factors of Medication Errors in Clinical Nurse","authors":"Soon-Rim Suh, Darae Woo, Song, Yeoungsuk","doi":"10.21032/JHIS.2021.46.1.19","DOIUrl":"https://doi.org/10.21032/JHIS.2021.46.1.19","url":null,"abstract":"Objectives: The aim of this study was to identify predictive factors (fatigue, labor intensity, quality of sleep, and job stress) of medication errors in clinical nurses to improve patients’ safety. Methods: The participants of this study were 148 female nurses who have clinical experience for more than 1 year at K hospital and pregnant nurses among them were excluded. The data were collected from February 27th to March 20th, 2019. The measurements of medication errors, fatigue, labor intensity, quality of sleep, and job stress were used. Data were analyzed with descriptive statistics, t-test, ANOVA, Scheffé test, Pearson correlation coefficients and multiple regression analysis using IBM SPSS/WIN 23.0. Results: The predictive factors associated with nurses’ medication errors were clinical experience (β= -0.41), fatigue (β= 0.31), work department emergency room (β= 0.28), work department surgery ward (β= 0.25), and job stress (β= 0.23). The results showed that the nurses who had less clinical experience and felt more fatigue or job stress, were likely to have more medication errors. Also, the nurses who work in emergency room or surgery units, experience more medication errors. Conclusions: Clinical experience, fatigue, work area-emergency room, work area-surgery word and job stress were the main influential factors on medication errors of clinic nurse. Theses influential factors should be integrally considered in nursing management to decrease medication errors. Especially, it is needed to develop a programs that can indirectly improve clinical experience to prevent medication errors.","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":"46 1","pages":"19-27"},"PeriodicalIF":0.0,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42431389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-28DOI: 10.21032/JHIS.2021.46.1.64
Yeonguk Chae, Sunjoo Kim, Yang Seung Kyoung
Factors Related to Influenza Vaccination Intention in University Students Based on Theory of Planned Behavior Yeojoo Chae, Sunjoo Kim, Seungkyoung Yang Senior Researcher, Gyeongnam Center for Infectious Diseases Control and Prevention, Changwon; Supervisor, Prevention and Management, Gyeongnam Center for Infectious Disease Control and Prevention, Changwon; Professor, Department of Laboratory Medicine, Gyeongsang National University Changwon Hospital, Changwon; Professor, Department of Nursing, Kyungnam University, Changwon, Korea
{"title":"Factors Related to Influenza Vaccination Intention in University Students Based on Theory of Planned Behavior","authors":"Yeonguk Chae, Sunjoo Kim, Yang Seung Kyoung","doi":"10.21032/JHIS.2021.46.1.64","DOIUrl":"https://doi.org/10.21032/JHIS.2021.46.1.64","url":null,"abstract":"Factors Related to Influenza Vaccination Intention in University Students Based on Theory of Planned Behavior Yeojoo Chae, Sunjoo Kim, Seungkyoung Yang Senior Researcher, Gyeongnam Center for Infectious Diseases Control and Prevention, Changwon; Supervisor, Prevention and Management, Gyeongnam Center for Infectious Disease Control and Prevention, Changwon; Professor, Department of Laboratory Medicine, Gyeongsang National University Changwon Hospital, Changwon; Professor, Department of Nursing, Kyungnam University, Changwon, Korea","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":"46 1","pages":"64-71"},"PeriodicalIF":0.0,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44119998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-28DOI: 10.21032/JHIS.2021.46.1.72
Min-Ju Kim, Eunsun Lim, Sangshin Park, N. Choi
Factors Associated with Human Papillomavirus Non-vaccination: The National Health and Nutrition Survey Min-Ju Kim, Eunsun Lim, Sangshin Park*, Nam-Kyong Choi* Graduate Student, Graduate School of Industrial Pharmaceutical Science, Ewha Womans University, Seoul; Graduate Student, Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, Seoul; Professor, Graduate School of Urban Public Health, University of Seoul, Seoul; Professor, Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, Seoul; Professor, Graduate School of Industrial Pharmaceutical Science, Ewha Womans University, Seoul, Korea
未接种人乳头瘤病毒相关因素:国民健康与营养调查:Kim Min-Ju Lim Eunsun Park Sangshin * Choi Nam-Kyong *梨花女子大学工业制药研究生院研究生首尔梨花女子大学科学与产业融合学院健康融合系研究生;首尔大学城市公共卫生研究生院教授，首尔;首尔梨花女子大学科学与产业融合学院健康融合系教授;韩国首尔梨花女子大学工业制药科学研究生院教授
{"title":"Factors Associated with Human Papillomavirus Non-vaccination: The National Health and Nutrition Survey","authors":"Min-Ju Kim, Eunsun Lim, Sangshin Park, N. Choi","doi":"10.21032/JHIS.2021.46.1.72","DOIUrl":"https://doi.org/10.21032/JHIS.2021.46.1.72","url":null,"abstract":"Factors Associated with Human Papillomavirus Non-vaccination: The National Health and Nutrition Survey Min-Ju Kim, Eunsun Lim, Sangshin Park*, Nam-Kyong Choi* Graduate Student, Graduate School of Industrial Pharmaceutical Science, Ewha Womans University, Seoul; Graduate Student, Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, Seoul; Professor, Graduate School of Urban Public Health, University of Seoul, Seoul; Professor, Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, Seoul; Professor, Graduate School of Industrial Pharmaceutical Science, Ewha Womans University, Seoul, Korea","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":"46 1","pages":"72-81"},"PeriodicalIF":0.0,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48703624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-28DOI: 10.21032/JHIS.2021.46.1.117
D. Lim, S. H. Park, Song, Inmyung
The sex ratio at birth is nearly constant if not artificially manipulated by using sex-selective abortion [1]. The sex ratios at birth in the United States have been stable from 104.6 to 105.9 males (per 100 females) between 1940 and 2002 [2]. However, East Asian countries that shared a traditional culture of son preference reported unnaturally high sex ratios at birth [3]. In China, Taiwan, South Korea, India, and Viet Nam, the sex ratios at birth were 108 or more males (per 100 females) at some point by the early 2000s; this imbalance was attributed to son preference and sex selection [4]. The distortion in the natural sex ratio can have undesirable social consequences, such as a disequilibrium in the marriage market [5,6]. This can further have a negative impact on the psychological wellbeing of never-married men, such as increased depression, aggression, Secular Trends in Sex Ratio at Birth by Birth Order in South Korea, 1981–2017 Daroh Lim, Sang Hwa Park, Inmyung Song Professor, Department of Health Administration, College of Nursing and Health, Kongju National University, Gongju; Senior Researcher, Institute of Reproductive Medicine and Population, Medical Research Center, Seoul National University, Seoul, Korea
出生时的性别比几乎是恒定的，如果不是通过性别选择人工流产来操纵的话。从1940年到2002年，美国的出生性别比稳定在104.6到105.9(每100名女性)之间。然而，有着重男轻女传统文化的东亚国家报告了不自然的高出生性别比。在中国大陆、台湾、韩国、印度和越南，到本世纪初的某个时候，出生性别比达到了108个或更多的男性(每100名女性);这种不平衡归因于重男轻女和性别选择。自然性别比的扭曲会产生不良的社会后果，如婚姻市场的不平衡[5,6]。这可能进一步对未婚男性的心理健康产生负面影响，例如增加抑郁，攻击性，韩国出生性别比的长期趋势，1981-2017年，公州国立大学护理与健康学院卫生行政学系教授，Daroh Lim, Sang Hwa Park, Inmyung Song;韩国首尔国立大学医学研究中心生殖医学与人口研究所高级研究员
{"title":"Secular Trends in Sex Ratio at Birth by Birth Order in South Korea, 1981–2017","authors":"D. Lim, S. H. Park, Song, Inmyung","doi":"10.21032/JHIS.2021.46.1.117","DOIUrl":"https://doi.org/10.21032/JHIS.2021.46.1.117","url":null,"abstract":"The sex ratio at birth is nearly constant if not artificially manipulated by using sex-selective abortion [1]. The sex ratios at birth in the United States have been stable from 104.6 to 105.9 males (per 100 females) between 1940 and 2002 [2]. However, East Asian countries that shared a traditional culture of son preference reported unnaturally high sex ratios at birth [3]. In China, Taiwan, South Korea, India, and Viet Nam, the sex ratios at birth were 108 or more males (per 100 females) at some point by the early 2000s; this imbalance was attributed to son preference and sex selection [4]. The distortion in the natural sex ratio can have undesirable social consequences, such as a disequilibrium in the marriage market [5,6]. This can further have a negative impact on the psychological wellbeing of never-married men, such as increased depression, aggression, Secular Trends in Sex Ratio at Birth by Birth Order in South Korea, 1981–2017 Daroh Lim, Sang Hwa Park, Inmyung Song Professor, Department of Health Administration, College of Nursing and Health, Kongju National University, Gongju; Senior Researcher, Institute of Reproductive Medicine and Population, Medical Research Center, Seoul National University, Seoul, Korea","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":" 12","pages":"117-123"},"PeriodicalIF":0.0,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41253010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-28DOI: 10.21032/JHIS.2021.46.1.82
S. H. Park, D. Lim
Objectives: The purpose of this study was to analyze the risk of preterm birth (PTB) and low birth weight (LBW) in babies born to unmarried parents (extramarital birth). Methods: This study used birth certificate data (1,523,594 births) from Korea Statistics, 2015-2018 years. Odds ratio and 95% confidence intervals were calculated by logistic regression analyses to describe the risk of PTB and LBW in extramarital birth adjusted for maternal age, maternal education, infantile sex, and type of birth (singleton & multiple birth). Results: During this periods, the rate of extramarital birth was 1.9 percent in 2015-2018. The incidence of LBW was 8.4 percent in extramarital birth and 5.9 percent in marital birth. The rate of PTB in extramarital birth were 10.6 percent and 7.3 percent in marital birth. The LBW and PTB rate of extramarital birth (father listed on the birth certificate) was 7.4 percent and 9.1 percent, respectively. Among extramarital birth (father not listed on the birth certificate) was associated with increased risk of PTB (12.3%) and LBW (9.5%). Compared with LBW and PTB rate of marital birth, the odds ratio (OR) for LBW and PTB were 1.66 (95% confidence interval, 95% CI: 1.56-1.77) and 1.57 (95% CI: 1.49-1.67) for extramarital birth (father listed). Risk of LBW (OR: 2.14) and PTB (OR: 2.14) was higher in extramarital birth (father not listed) than that of marital birth. Conclusions: The babies born to unmarried parents was associated with increased risk of LBW and PTB, compared with those of marital birth. Risk of adversed pregnancy outcome was higher in extramarital birth (father not listed on the birth certificate). More study is required to understand the factors to adversed pregnancy outcome of extramarital status.
{"title":"Preterm Birth and Low Birth Weight in Extramarital Birth in Korea: 2015-2018 Years","authors":"S. H. Park, D. Lim","doi":"10.21032/JHIS.2021.46.1.82","DOIUrl":"https://doi.org/10.21032/JHIS.2021.46.1.82","url":null,"abstract":"Objectives: The purpose of this study was to analyze the risk of preterm birth (PTB) and low birth weight (LBW) in babies born to unmarried parents (extramarital birth). Methods: This study used birth certificate data (1,523,594 births) from Korea Statistics, 2015-2018 years. Odds ratio and 95% confidence intervals were calculated by logistic regression analyses to describe the risk of PTB and LBW in extramarital birth adjusted for maternal age, maternal education, infantile sex, and type of birth (singleton & multiple birth). Results: During this periods, the rate of extramarital birth was 1.9 percent in 2015-2018. The incidence of LBW was 8.4 percent in extramarital birth and 5.9 percent in marital birth. The rate of PTB in extramarital birth were 10.6 percent and 7.3 percent in marital birth. The LBW and PTB rate of extramarital birth (father listed on the birth certificate) was 7.4 percent and 9.1 percent, respectively. Among extramarital birth (father not listed on the birth certificate) was associated with increased risk of PTB (12.3%) and LBW (9.5%). Compared with LBW and PTB rate of marital birth, the odds ratio (OR) for LBW and PTB were 1.66 (95% confidence interval, 95% CI: 1.56-1.77) and 1.57 (95% CI: 1.49-1.67) for extramarital birth (father listed). Risk of LBW (OR: 2.14) and PTB (OR: 2.14) was higher in extramarital birth (father not listed) than that of marital birth. Conclusions: The babies born to unmarried parents was associated with increased risk of LBW and PTB, compared with those of marital birth. Risk of adversed pregnancy outcome was higher in extramarital birth (father not listed on the birth certificate). More study is required to understand the factors to adversed pregnancy outcome of extramarital status.","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":"46 1","pages":"82-87"},"PeriodicalIF":0.0,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48834161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-28DOI: 10.21032/JHIS.2021.46.1.110
Jae Bin Lee, Woo, hyekyung
Objectives: This study aims to identify the contents characteristics of fine dust management apps currently released in Korea and evaluate the quality level. Methods: We found 400 apps to search for keywords related to fine dust, and 30 apps that meet certain criteria were selected as the final research subjects. It describes the main content status of 30 apps. Additionally, we evaluate the quality level of the app by utilizing the mobile application rating scale (MARS). We analyze the correlation between MARS Score, consumer score, and number of reviews. Results: Most fine dust apps were providing contents that provide fine dust concentration based on global positioning system (GPS). According to the MARS evaluation, engagement was low in average score, and in aesthetic, the gap between apps was large. The correlation analysis between the scores was not significant. Conclusions: It is necessary to develop differentiated contents such as personal health records and monitoring in order to increase the motivation and sustainability of using the fine dust mHealth app.
{"title":"Quality Evaluation of Fine Dust Management Mobile Applications","authors":"Jae Bin Lee, Woo, hyekyung","doi":"10.21032/JHIS.2021.46.1.110","DOIUrl":"https://doi.org/10.21032/JHIS.2021.46.1.110","url":null,"abstract":"Objectives: This study aims to identify the contents characteristics of fine dust management apps currently released in Korea and evaluate the quality level. Methods: We found 400 apps to search for keywords related to fine dust, and 30 apps that meet certain criteria were selected as the final research subjects. It describes the main content status of 30 apps. Additionally, we evaluate the quality level of the app by utilizing the mobile application rating scale (MARS). We analyze the correlation between MARS Score, consumer score, and number of reviews. Results: Most fine dust apps were providing contents that provide fine dust concentration based on global positioning system (GPS). According to the MARS evaluation, engagement was low in average score, and in aesthetic, the gap between apps was large. The correlation analysis between the scores was not significant. Conclusions: It is necessary to develop differentiated contents such as personal health records and monitoring in order to increase the motivation and sustainability of using the fine dust mHealth app.","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":"46 1","pages":"110-116"},"PeriodicalIF":0.0,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68255389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-28DOI: 10.21032/JHIS.2021.46.1.1
Hui Seung Lee, C. Lim
Statistics are essential for clinical trials, and it is very important to have an accurate understanding of the purpose of the study and to apply the appropriate statistical design or methodology. Prior to conducting a clinical trial, the research protocol requires approval from the IRB (Institutional Review Board) or regulatory agency approval, and contains a variety of contents. The research protocol conducts clinical trials according to GCP (Good Clinical Practice) and describe clinical design and statistical methodologies for demonstrate the efficacy and safety of new drug or new medical devices using the obtained data in clinical trials. At this time, statistical design is applied for the protocol based on the primary study objective. The primary study objective is to influence the selection of primary endpoint to evaluate this, the sample size, the technique of minimizing the bias, the statistical analysis and method of testing the statistical hypothesis. However, statistical errors and contradictions are easy to find in the study protocol and the same errors are repeated many times, so in this paper we aim to avoid these errors in clinical studies and apply them correctly in clinical trials, intended to be helpful in derives scientific design, validity, and reliable results.
{"title":"Considerations of Statistical Errors in a Study Protocol for Clinical Trials","authors":"Hui Seung Lee, C. Lim","doi":"10.21032/JHIS.2021.46.1.1","DOIUrl":"https://doi.org/10.21032/JHIS.2021.46.1.1","url":null,"abstract":"Statistics are essential for clinical trials, and it is very important to have an accurate understanding of the purpose of the study and to apply the appropriate statistical design or methodology. Prior to conducting a clinical trial, the research protocol requires approval from the IRB (Institutional Review Board) or regulatory agency approval, and contains a variety of contents. The research protocol conducts clinical trials according to GCP (Good Clinical Practice) and describe clinical design and statistical methodologies for demonstrate the efficacy and safety of new drug or new medical devices using the obtained data in clinical trials. At this time, statistical design is applied for the protocol based on the primary study objective. The primary study objective is to influence the selection of primary endpoint to evaluate this, the sample size, the technique of minimizing the bias, the statistical analysis and method of testing the statistical hypothesis. However, statistical errors and contradictions are easy to find in the study protocol and the same errors are repeated many times, so in this paper we aim to avoid these errors in clinical studies and apply them correctly in clinical trials, intended to be helpful in derives scientific design, validity, and reliable results.","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":"46 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46336346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Visualization of Explainable Artificial Intelligence Techniques Using Variable Importance with Its Applications to Health Information Data Hyerin Jeong, Junghoon Park, Yungseop Lee, Changwon Lim Graduate Student, Department of Statistics, Chung-Ang University, Seoul; Professor, Department of Statistics, Dongguk University, Seoul; Professor, Department of Applied Statistics, Chung-Ang University, Seoul, Korea
{"title":"Visualization of Explainable Artificial Intelligence Techniques Using Variable Importance with Its Applications to Health Information Data","authors":"Hyerin Jeong, Park. Jung hoon, Lee, Yung-Seop, Changwon Lim","doi":"10.21032/jhis.2020.45.4.317","DOIUrl":"https://doi.org/10.21032/jhis.2020.45.4.317","url":null,"abstract":"Visualization of Explainable Artificial Intelligence Techniques Using Variable Importance with Its Applications to Health Information Data Hyerin Jeong, Junghoon Park, Yungseop Lee, Changwon Lim Graduate Student, Department of Statistics, Chung-Ang University, Seoul; Professor, Department of Statistics, Dongguk University, Seoul; Professor, Department of Applied Statistics, Chung-Ang University, Seoul, Korea","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":"67 5","pages":"317-334"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41259841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-11-30DOI: 10.21032/jhis.2020.45.4.341
Lee-Seul Jeong, Su Jung Lee, Shin, Dong-soo
Objectives: This study aimed to identify factors affecting the length of intensive care unit (ICU) and characteristics among older patients transferred from long-term care hospital. Methods: This is a retrospective study and we extracted data from electronic medical records. Study participants were patients aged 65 or older who were admitted to ICU after they had been transferred to emergency department from long-term care hospitals. Length of stay (LOS) in ICU was defined as the patients had stayed in ICU for 7 days or more. Factors influencing the LOS were identified through the binary logistic regression analyses based on demographic and clinical characteristics and laboratory parameters. Results: Of all screened patients, 243 subjects were transferred from long term care hospitals. Participants mean age was 80.3 ( ± 7.0) years and female comprised 63%. Participants had stayed in ICU for 13.4 days in average. Factors affecting the LOS in ICU were presence of multidrug resistant organism after ICU admission (odds ratio, OR 5.66, 95% confidence interval, 95% CI = 1.79-17.82, p< 0.010), tracheostomy insertion (OR 3.35, 95% CI = 1.28-8.74, p< 0.014), mechanical ventilator application (OR 2.49, 95% CI = 1.11-5.58, p< 0.026), central venous catheterization (OR 2.13, 95% CI = 1.09-4.17, p< 0.027) and simplified acute physiology score III (OR 0.95, 95% CI = 0.91-1.00, p< 0.039) by multivariate binary logistic regression analysis. Conclusions: Older patients in long-term care hospitals stayed longer in ICU and were vulnerable to infection. It is important to develop strategies to reduce LOS in ICU as the number of older patients admitted from long-term care institutions increases.
{"title":"Factors Influencing Length of Intensive Care Unit among Older Patients Transferred from Long Term Care Hospital","authors":"Lee-Seul Jeong, Su Jung Lee, Shin, Dong-soo","doi":"10.21032/jhis.2020.45.4.341","DOIUrl":"https://doi.org/10.21032/jhis.2020.45.4.341","url":null,"abstract":"Objectives: This study aimed to identify factors affecting the length of intensive care unit (ICU) and characteristics among older patients transferred from long-term care hospital. Methods: This is a retrospective study and we extracted data from electronic medical records. Study participants were patients aged 65 or older who were admitted to ICU after they had been transferred to emergency department from long-term care hospitals. Length of stay (LOS) in ICU was defined as the patients had stayed in ICU for 7 days or more. Factors influencing the LOS were identified through the binary logistic regression analyses based on demographic and clinical characteristics and laboratory parameters. Results: Of all screened patients, 243 subjects were transferred from long term care hospitals. Participants mean age was 80.3 ( ± 7.0) years and female comprised 63%. Participants had stayed in ICU for 13.4 days in average. Factors affecting the LOS in ICU were presence of multidrug resistant organism after ICU admission (odds ratio, OR 5.66, 95% confidence interval, 95% CI = 1.79-17.82, p< 0.010), tracheostomy insertion (OR 3.35, 95% CI = 1.28-8.74, p< 0.014), mechanical ventilator application (OR 2.49, 95% CI = 1.11-5.58, p< 0.026), central venous catheterization (OR 2.13, 95% CI = 1.09-4.17, p< 0.027) and simplified acute physiology score III (OR 0.95, 95% CI = 0.91-1.00, p< 0.039) by multivariate binary logistic regression analysis. Conclusions: Older patients in long-term care hospitals stayed longer in ICU and were vulnerable to infection. It is important to develop strategies to reduce LOS in ICU as the number of older patients admitted from long-term care institutions increases.","PeriodicalId":91119,"journal":{"name":"Journal of health informatics","volume":"45 1","pages":"341-348"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42546452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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