This study was done to identify the patterns and significant predictors influencing hospitalization of Korean men for alcohol use disorder.

A descriptive study design was utilized. Data were collected using self-report questionnaires from 143 inpatients who met the DSM-5 alcohol use disorder criteria and were receiving treatment and 157 social drinkers living in the community. The questionnaires included Alcohol Use Disorders Identification Test (AUDIT), Alcohol Problems, Alcohol Expectancy Questionnaire (AEQ), Life Position, and The Korean version of the Children of Alcoholics Screening Test (CAST-K). Data were analyzed using descriptive statistics, t-test, χ²-test, F-test, Pearson correlation coefficients, and logistic regression with forward stepwise.

AUDIT had significant correlations with alcohol problems, alcohol expectancy, and parents' alcoholism. In logistic regression, factors significantly affecting hospitalization were divorced (OR=4.18, 95% CI: 1.28-13.71), graduation from elementary school (OR=28.50, 95% CI: 8.07-100.69), middle school (OR=6.66, 95% CI: 2.21-20.09), high school (OR=6.31, 95% CI: 2.59-15.36), drinking alone (OR=9.07, 95% CI: 1.78-46.17), family history of alcoholism (OR=2.41, 95% CI: 1.11-5.25), interpersonal relationship problems (OR=1.28, 95% CI:1.17-1.41), and sexual enhancement of alcohol expectancy (OR=0.83, 95% CI: 0.72-0.94), which accounted for 53% of the variance.

Results suggest that interpersonal relationship programs and customized cognitive programs for social drinkers in the community are needed to decreased alcohol related hospitalization in Korean men.

The influence of dietary composition on blood pressure is an important subject in healthcare. Interactions between antihypertensive drugs and diet (IBADD) is the most important factor in the management of hypertension. It is therefore essential to support healthcare providers' decision making role in active and continuous interaction control in hypertension management. The aim of this study was to implement an ontology-based clinical decision support system (CDSS) for IBADD management (IBADDM). We considered the concepts of antihypertensive drugs and foods, and focused on the interchangeability between the database and the CDSS when providing tailored information.

An ontology-based CDSS for IBADDM was implemented in eight phases: (1) determining the domain and scope of ontology, (2) reviewing existing ontology, (3) extracting and defining the concepts, (4) assigning relationships between concepts, (5) creating a conceptual map with CmapTools, (6) selecting upper ontology, (7) formally representing the ontology with Protégé (ver.4.3), (8) implementing an ontology-based CDSS as a JAVA prototype application.

We extracted 5,926 concepts, 15 properties, and formally represented them using Protégé. An ontology-based CDSS for IBADDM was implemented and the evaluation score was 4.60 out of 5.

We endeavored to map functions of a CDSS and implement an ontology-based CDSS for IBADDM.