Correction: Development and Evaluation of an Obesity Ontology for Social Big Data Analysis / 대한의료정보학회지

The affiliation of the third author, Tae-Min Song, was changed during the submission and review process of the article. The third authors' affiliation should be corrected.

Analysis of the Factors Affecting Consumer Acceptance of Accredited Online Health Information

With the increasing use of the internet and the spread of smartphones, health information seekers obtain considerable information through the internet. As the amount of online health information increases, the need for quality management of health information has been emphasized. The purpose of this study was to investigate the factors affecting the intention of using accredited online health information by applying the extended technology acceptance model (Extended-TAM). An online survey was conducted from September 15, 2016 to October 3, 2016, on 500 men and women aged 19–69 years. The results showed that the greatest factor influencing the acceptance of the accredited health information was perceived usefulness, and the expectation for the quality of the accreditation system was the most important mediator variable. In order to establish the health information accreditation system as a means to provide easy and useful information to the consumers, it is necessary to carry out quality management and promote the system through the continuous monitoring of the accreditation system.

Development and Evaluation of an Obesity Ontology for Social Big Data Analysis / 대한의료정보학회지

OBJECTIVES: The aim of this study was to develop and evaluate an obesity ontology as a framework for collecting and analyzing unstructured obesity-related social media posts. METHODS: The obesity ontology was developed according to the ‘Ontology Development 101’. The coverage rate of the developed ontology was examined by mapping concepts and terms of the ontology with concepts and terms extracted from obesity-related Twitter postings. The structure and representative ability of the ontology was evaluated by nurse experts. We applied the ontology to the density analysis of keywords related to obesity types and management strategies and to the sentiment analysis of obesity and diet using social big data. RESULTS: The developed obesity ontology was represented by 8 superclasses and 124 subordinate classes. The superclasses comprised ‘risk factors,’‘types,’‘symptoms,’‘complications,’‘assessment,’‘diagnosis,’‘management strategies,’ and ‘settings.’ The coverage rate of the ontology was 100% for the concepts and 87.8% for the terms. The evaluation scores for representative ability were higher than 4.0 out of 5.0 for all of the evaluation items. The density analysis of keywords revealed that the top-two posted types of obesity were abdomen and thigh, and the top-three posted management strategies were diet, exercise, and dietary supplements or drug therapy. Positive expressions of obesity-related postings has increased annually in the sentiment analysis. CONCLUSIONS: It was found that the developed obesity ontology was useful to identify the most frequently used terms on obesity and opinions and emotions toward obesity posted by the geneal population on social media.

Big Data Analysis Framework for Healthcare and Social Sectors in Korea / 대한의료정보학회지

OBJECTIVES: We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequently devised a framework for such an analysis in Korea. METHODS: We reviewed the status of implementing big data analysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfare of Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors at the national level. As a specific case, we designed a process and method of social big data analysis on suicide buzz. RESULTS: Developed countries (e.g., the United States, the UK, Singapore, Australia, and even OECD and EU) are emphasizing the potential of big data, and using it as a tool to solve their long-standing problems. Big data strategies for the healthcare and social service sectors were formulated based on an ICT-based policy of current government and the strategic goals of the Ministry of Health and Welfare. We suggest a framework of big data analysis in the healthcare and welfare service sectors separately and assigned them tentative names: 'health risk analysis center' and 'integrated social welfare service network'. A framework of social big data analysis is presented by applying it to the prevention and proactive detection of suicide in Korea. CONCLUSIONS: There are some concerns with the utilization of big data in the healthcare and social welfare sectors. Thus, research on these issues must be conducted so that sophisticated and practical solutions can be reached.

Big Data Analysis in Healthcare / 대한의료정보학회지

No abstract available.

Development of Health Information Search Engine Based on Metadata and Ontology / 대한의료정보학회지

OBJECTIVES: The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs. METHODS: Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents generated by the information producers as well as those used to search the contents by the users. Vocabulary for health information ontology was mapped to the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and a list of about 1,500 terms was proposed. The metadata schema used in this study was developed by adding an element describing the target audience to the Dublin Core Metadata Element Set. RESULTS: A metadata schema and an ontology ensuring interoperability of health information available on the internet were developed. The metadata and ontology-based health information search engine developed in this study produced a better search result compared to existing search engines. CONCLUSIONS: Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers.

Psychological and Social Factors Affecting Internet Searches on Suicide in Korea: A Big Data Analysis of Google Search Trends

PURPOSE: The average mortality rate for death by suicide among OECD countries is 12.8 per 100000, and 33.5 for Korea. The present study analyzed big data extracted from Google to identify factors related to searches on suicide in Korea. MATERIALS AND METHODS: Google search trends for the search words of suicide, stress, exercise, and drinking were obtained for 2004-2010. Analyzing data by month, the relationship between the actual number of suicides and search words per year was examined using multi-level models. RESULTS: Both suicide rates and Google searches on suicide in Korea increased since 2007. An unconditional slope model indicated stress and suicide-related searches were positively related. A conditional model showed that factors associated with suicide by year directly affected suicide-related searches. The interaction between stress-related searches and the actual number of suicides was significant. CONCLUSION: A positive relationship between stress- and suicide-related searches further confirmed that stress affects suicide. Taken together and viewed in context of the big data analysis, our results point to the need for a tailored prevention program. Real-time big data can be of use in indicating increases in suicidality when search words such as stress and suicide generate greater numbers of hits on portals and social network sites.

A Three-Year Autoregressive Cross-Lagged Panel Analysis on Nicotine Dependence and Average Smoking / 대한의료정보학회지

OBJECTIVES: Previous studies have been limited to the use of cross sectional data to identify the relationships between nicotine dependence and smoking. Therefore, it is difficult to determine a causal direction between the two variables. The purposes of this study were to 1) test whether nicotine dependence or average smoking was a more influential factor in smoking cessation; and 2) propose effective ways to quit smoking as determined by the causal relations identified. METHODS: This study used a panel dataset from the central computerized management systems of community-based smoking cessation programs in Korea. Data were stored from July 16, 2005 to July 15, 2008. 711,862 smokers were registered and re-registered for the programs during the period. 860 of those who were retained in the programs for three years were finally included in the dataset. To measure nicotine dependence, this study used a revised Fagerstrom Test for Nicotine Dependence. To examine the relationship between nicotine dependence and average smoking, an autoregressive cross-lagged model was explored in the study. RESULTS: The results indicate that 1) nicotine dependence and average smoking were stable over time; 2) the impact of nicotine dependence on average smoking was significant and vice versa; and 3) the impact of average smoking on nicotine dependence is greater than the impact of nicotine dependence on average smoking. CONCLUSIONS: These results support the existing data obtained from previous research. Collectively, reducing the amount of smoking in order to decrease nicotine dependence is important for evidence-based policy making for smoking cessation.

A Three-Year Autoregressive Cross-Lagged Panel Analysis on Nicotine Dependence and Average Smoking / 대한의료정보학회지

OBJECTIVES: Previous studies have been limited to the use of cross sectional data to identify the relationships between nicotine dependence and smoking. Therefore, it is difficult to determine a causal direction between the two variables. The purposes of this study were to 1) test whether nicotine dependence or average smoking was a more influential factor in smoking cessation; and 2) propose effective ways to quit smoking as determined by the causal relations identified. METHODS: This study used a panel dataset from the central computerized management systems of community-based smoking cessation programs in Korea. Data were stored from July 16, 2005 to July 15, 2008. 711,862 smokers were registered and re-registered for the programs during the period. 860 of those who were retained in the programs for three years were finally included in the dataset. To measure nicotine dependence, this study used a revised Fagerstrom Test for Nicotine Dependence. To examine the relationship between nicotine dependence and average smoking, an autoregressive cross-lagged model was explored in the study. RESULTS: The results indicate that 1) nicotine dependence and average smoking were stable over time; 2) the impact of nicotine dependence on average smoking was significant and vice versa; and 3) the impact of average smoking on nicotine dependence is greater than the impact of nicotine dependence on average smoking. CONCLUSIONS: These results support the existing data obtained from previous research. Collectively, reducing the amount of smoking in order to decrease nicotine dependence is important for evidence-based policy making for smoking cessation.

U-Health Service for Managing Chronic Disease: A Case Study on Managing Metabolic Syndrome in a Health Center in South Korea / 대한의료정보학회지

OBJECTIVES: We were to analyze the effect of managing metabolic syndrome using a u-health service in a health center. METHODS: We collected biometric data from 316 subjects living in a county (gun) in South Korea before and after the introduction of uhealth services in 2010. Analysis was done by contingency table using SPSS and latent growth model using AMOS. RESULTS: We found that regional u-health services affected instance of metabolic syndrome. Further, biometrics and health behavior improved. After six months of u-health services, the number of subjects with three or more factors for metabolic syndrome decreased by 62.5%; 63.3% of regular drinkers stopped drinking; 83.3% of subjects who rarely exercised began to exercise twice a week or more; and 60.9% of smokers stopped smoking. CONCLUSIONS: U-health services can change health behavior and biometrics to manage metabolic syndrome in rural areas. The usefulness of u-health services is discussed.

The Factors Influencing on Success of Quitting Smoking in Rural and Urban Smoking Cessation Clinics / 農村醫學 地域保健

OBJECTIVES: The purpose of this paper is to determine an efficient operation plan for a smoking cessation clinic in public health centers. To do so, the primary success factors in smoking cessation have been analyzed after classifying the smoking cessation programs of public health centers into urban and rural areas. METHODS: A study was conducted with 262,837 smokers age 19 or older who were provided with smoking cessation services for more than 6 months through smoking cessation clinics at public health centers(250 clinics nationwide) from July 16, 2006 to July 15, 2007. RESULTS: Urban areas indicated that gender, age, social security, the frequency of counseling, re-enrollment in the program, the number of cigarettes per day and alcohol problems were all factors that influenced the success of smoking cessation. On the other hand, in the rural areas the total number of counseling, re-enrollment in the program, the number of cigarettes per day and alcohol problems were the influential factors. Furthermore, the urban area confirmed that the frequency of counseling, re-enrollment in the program, the number of cigarettes per day and alcohol problems affected traveling while the rural area was affected by social security, the frequency of counseling and re-enrollment. CONCLUSIONS: It has been confirmed that the success rate and factors of smoking cessation clinics can vary depending on the region and enrollment method.

The Survey of the Demand for Health Information on the Internet / 대한의료정보학회지

The purpose of this study is to examine the demand for health information on the internet and to get priorities in the development of health information. We classified health information into 13 types by healthcare system. The Internet survey for the general public was conducted October 23 through November 2, 2001 and the survey for health professionals was conducted October 23 through November 16, 2001 using mail. The responses of 316 laypersons and 150 health professionals were analysed. The general public ranked disease information (81.8%), self diagnosis information (79.2%), general health information (79.1%), emergency information (78.7%) highly and most health professionals needed education information (90.5%), academic information (88.5%), disease information (88.4%). Considering both need and usefulness, the health information types which need to be developed for the general public were self diagnosis information, general health information, drug information, examination information, terminology information, healthcare organization information and those for health professionals were self diagnosis information, healthcare organization information, healthcare manpower information, drug information, examination information.

Development of a Web-Based Health Information Service System for Health Promotion in the Elderly / 대한의료정보학회지

The purpose of the study is to develop a Web-ba sed health information se rvice system for the elderly. To identify user's information needs, we conducted an online survey of the caregivers and an offline survey of the elderly. Based on the user's information needs, a Web-site was developed. The Web-site was evaluated by users for their satisfaction with the Web-site and experts for the quality of the site. To test the usability of the site, knowledge, attitudes and behaviors of the elde rly were measured and compa red before and after an education using the content of the site. Content includes disease information of arthritis, dementia, and stroke; and health promotion information such as exercise, nutrition, management of declining hearing and visual abilities. Besides this health information, FAQ on the elderly health, statistics, links to related institutes and Web sites, risk factor appraisal tool, and nursing supplies for the elderly were added. The Web site is a subsystem of the Healthguide. Users rated usefulness, relevance, convenience, and eff iciency of the site highly in their satisf action rating. Experts ra ted purpose, update, appropriateness, reliability, and easiness highly in their site evaluation. There was statistically significant difference in the knowledge, attitudes, and behaviors of the elderly before and after education via the homepage. It is expected that this Web-based elderly health information service system will contribute to the elderly's health promotion as well as provide a community for the elderly health related researchers, professionals and experts to share information on the elderly's health.

Development of a Web-Based Women's Health Information Service System / 대한의료정보학회지

The purpose of the study is to develop a Web-based health information service system for the middle-aged women. To identify users' information needs, we conducted an online survey of 189 middle-aged women. It was found that they had various health problems but very few did any health prevention or health promotion activities. We developed following contents in the following areas based on the result of needs assessment. They were exercise, diet including weight control, osteoporosis, climacteric, aging, breast and cervical cancer. Besides this health information, FAQ on women's health, my health knowledge test, statistics, link to related institutes and web sites, newspaper articles/mass media clips, journal articles, conferences papers, and other educational information were added. The homepage was developed as a subsystem of the Healthguide. It was evaluated by the users and the expert panel. The users rated 3.6 out of 5 point in their satisfaction rating and the experts rated 3.9 out of 5 in their site evaluation. It is expected that a Web-based women's health information service system will contribute to women's health promotion as well as provide a community for women's health related researchers and experts to share information on women's health.