PURPOSE: The purpose of this study was to examine the social determinants of health (SDH) associated with health-related quality of life (HQOL) among the community-dwelling elderly, based on the conceptual framework of the Commission on Social Determinants of Health (CSDH). METHODS: A survey was conducted with 199 elders aged 65 years or older sampled through convenient sampling. Data were collected through face to face interviews by trained interviewers using a structured questionnaire, which included scales of the residential area, social support, sense of community, social network, health behaviors, and HQOL. Data were analyzed by ANOVA and stepwise multivariate regression. RESULTS: Major SDH affecting HQOL included the participants' residential area, sense of community, and health behavior. The HQOL of the elderly residing in the B area with a low rate of basic livelihood security recipients was higher than that of those residing in other areas. CONCLUSION: CSDH framework was useful to determine the factors associated with HQOL among the community-dwelling elderly. In addition to their health behavior, their sense of community was found to be a SDH of HQOL, indicating the need of health promotion programs tailored to the characteristics of residential areas and strategies to enhance involvement in community activities.
Aged* ; Health Behavior ; Health Promotion ; Humans ; Quality of Life* ; Social Determinants of Health* ; Weights and Measures ; Surveys and Questionnaires

PURPOSE: This descriptive study investigated the effects of authentic leadership and coworker support on psychological well-being of staff nurses. METHODS: The participants were 166 staff nurse working in university hospital located in D city. Data were collected from July 1 2017 to 31, 2017. Data analysis was performed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and hierarchical regression. RESULTS: The regression model that included demographics and coworker support explained about 40.0% of psychological well-being. Marital status, nurse satisfaction, turnover experience, and coworker support were the predictors of psychological well-being in staff nurses. CONCLUSION: Coworker support was an important predictor of the psychological well-being of staff nurse. Therefore, strategics to improve coworker support are needed to increase psychological well-being in the clinical field.
Demography ; Leadership ; Marital Status ; Statistics as Topic

PURPOSE: This descriptive study investigated the effects of authentic leadership and coworker support on psychological well-being of staff nurses. METHODS: The participants were 166 staff nurse working in university hospital located in D city. Data were collected from July 1 2017 to 31, 2017. Data analysis was performed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and hierarchical regression. RESULTS: The regression model that included demographics and coworker support explained about 40.0% of psychological well-being. Marital status, nurse satisfaction, turnover experience, and coworker support were the predictors of psychological well-being in staff nurses. CONCLUSION Coworker support was an important predictor of the psychological well-being of staff nurse. Therefore, strategics to improve coworker support are needed to increase psychological well-being in the clinical field.

OBJECTIVES: We developed and validated the Health Literacy Index for the Community (HLIC) to assess the health literacy of the Korean population within the framework of the Korean National Health and Nutrition and Examination Survey. METHODS: The HLIC was developed through (1) defining the conceptual framework and generating the item pool and (2) finalizing the items and identifying the cut-off value. Interviews were conducted to examine items’ face validity, and a cross-sectional survey was performed to analyze the item-response theory and Rasch models to investigate the instrument’s psychometric properties. RESULTS: In this study of 1,041 participants, most had no difficulty understanding health information; however, 67.9% struggled to assess the reliability of health information from the Internet or media. A 4-factor structure was identified through factor analysis, leading to the exclusion of some items. This resulted in 10 items across 4 domains: (1) disease prevention, (2) health promotion, (3) health care, and (4) technology and resources. The HLIC demonstrated good internal consistency, with a Cronbach’s α of 0.87. It also showed high test-retest reliability and correlations with other health literacy instruments. A socio-demographic analysis of the HLIC revealed disparities in health literacy across various age groups, education levels, and income brackets. CONCLUSIONS The HLIC was developed to systematically measure health literacy in Korea’s general population. Its simplicity and conciseness ensure reliability and validity and improve its accessibility, making it particularly suitable for the broader Korean population, including those with lower literacy levels.

OBJECTIVES: We developed and validated the Health Literacy Index for the Community (HLIC) to assess the health literacy of the Korean population within the framework of the Korean National Health and Nutrition and Examination Survey. METHODS: The HLIC was developed through (1) defining the conceptual framework and generating the item pool and (2) finalizing the items and identifying the cut-off value. Interviews were conducted to examine items’ face validity, and a cross-sectional survey was performed to analyze the item-response theory and Rasch models to investigate the instrument’s psychometric properties. RESULTS: In this study of 1,041 participants, most had no difficulty understanding health information; however, 67.9% struggled to assess the reliability of health information from the Internet or media. A 4-factor structure was identified through factor analysis, leading to the exclusion of some items. This resulted in 10 items across 4 domains: (1) disease prevention, (2) health promotion, (3) health care, and (4) technology and resources. The HLIC demonstrated good internal consistency, with a Cronbach’s α of 0.87. It also showed high test-retest reliability and correlations with other health literacy instruments. A socio-demographic analysis of the HLIC revealed disparities in health literacy across various age groups, education levels, and income brackets. CONCLUSIONS The HLIC was developed to systematically measure health literacy in Korea’s general population. Its simplicity and conciseness ensure reliability and validity and improve its accessibility, making it particularly suitable for the broader Korean population, including those with lower literacy levels.

OBJECTIVES: We developed and validated the Health Literacy Index for the Community (HLIC) to assess the health literacy of the Korean population within the framework of the Korean National Health and Nutrition and Examination Survey. METHODS: The HLIC was developed through (1) defining the conceptual framework and generating the item pool and (2) finalizing the items and identifying the cut-off value. Interviews were conducted to examine items’ face validity, and a cross-sectional survey was performed to analyze the item-response theory and Rasch models to investigate the instrument’s psychometric properties. RESULTS: In this study of 1,041 participants, most had no difficulty understanding health information; however, 67.9% struggled to assess the reliability of health information from the Internet or media. A 4-factor structure was identified through factor analysis, leading to the exclusion of some items. This resulted in 10 items across 4 domains: (1) disease prevention, (2) health promotion, (3) health care, and (4) technology and resources. The HLIC demonstrated good internal consistency, with a Cronbach’s α of 0.87. It also showed high test-retest reliability and correlations with other health literacy instruments. A socio-demographic analysis of the HLIC revealed disparities in health literacy across various age groups, education levels, and income brackets. CONCLUSIONS The HLIC was developed to systematically measure health literacy in Korea’s general population. Its simplicity and conciseness ensure reliability and validity and improve its accessibility, making it particularly suitable for the broader Korean population, including those with lower literacy levels.

OBJECTIVES: We developed and validated the Health Literacy Index for the Community (HLIC) to assess the health literacy of the Korean population within the framework of the Korean National Health and Nutrition and Examination Survey. METHODS: The HLIC was developed through (1) defining the conceptual framework and generating the item pool and (2) finalizing the items and identifying the cut-off value. Interviews were conducted to examine items’ face validity, and a cross-sectional survey was performed to analyze the item-response theory and Rasch models to investigate the instrument’s psychometric properties. RESULTS: In this study of 1,041 participants, most had no difficulty understanding health information; however, 67.9% struggled to assess the reliability of health information from the Internet or media. A 4-factor structure was identified through factor analysis, leading to the exclusion of some items. This resulted in 10 items across 4 domains: (1) disease prevention, (2) health promotion, (3) health care, and (4) technology and resources. The HLIC demonstrated good internal consistency, with a Cronbach’s α of 0.87. It also showed high test-retest reliability and correlations with other health literacy instruments. A socio-demographic analysis of the HLIC revealed disparities in health literacy across various age groups, education levels, and income brackets. CONCLUSIONS The HLIC was developed to systematically measure health literacy in Korea’s general population. Its simplicity and conciseness ensure reliability and validity and improve its accessibility, making it particularly suitable for the broader Korean population, including those with lower literacy levels.

Purpose: This study aimed at identifying the level of active aging in older adults and the influence of the individual and community levels of community capacity on active aging. Methods: A cross-sectional survey was conducted on a stratified sample of 380 older adults living in 35 neighborhoods of five regions in Seoul, the capital of South Korea. The structured questionnaire included the Korean version of instruments that measure active aging and community capacity at the individual level. Secondary data including metropolitan statistical information, a public data portal, and a city plan were used to acquire community-capacity factors at the community level. Data were analyzed with multilevel models. Results: The overall active aging mean score was 3.00 ± 0.55 out of 5; the highest mean score was in the security domain (3.46 ± 0.65) and the lowest one was in the participation domain (2.71 ± 0.66). Individual factors associated with active aging included age, education, income, and community capacity at the individual level. At the community level, two community-capacity factors (senior leisure welfare facilities and cooperative unions) were significantly associated with active aging. In active aging, 6.4% and 4.1% of total variance could be explained by 35 neighborhoods, after considering individual and community level variables, respectively. Conclusion This study showed that community capacity is important for active aging among older adults. Appropriate strategies that consider both individual and community factors, such as contextual indicators of community capacity, are necessary to improve active aging.

Purpose: This study aimed at identifying the level of active aging in older adults and the influence of the individual and community levels of community capacity on active aging. Methods: A cross-sectional survey was conducted on a stratified sample of 380 older adults living in 35 neighborhoods of five regions in Seoul, the capital of South Korea. The structured questionnaire included the Korean version of instruments that measure active aging and community capacity at the individual level. Secondary data including metropolitan statistical information, a public data portal, and a city plan were used to acquire community-capacity factors at the community level. Data were analyzed with multilevel models. Results: The overall active aging mean score was 3.00 ± 0.55 out of 5; the highest mean score was in the security domain (3.46 ± 0.65) and the lowest one was in the participation domain (2.71 ± 0.66). Individual factors associated with active aging included age, education, income, and community capacity at the individual level. At the community level, two community-capacity factors (senior leisure welfare facilities and cooperative unions) were significantly associated with active aging. In active aging, 6.4% and 4.1% of total variance could be explained by 35 neighborhoods, after considering individual and community level variables, respectively. Conclusion This study showed that community capacity is important for active aging among older adults. Appropriate strategies that consider both individual and community factors, such as contextual indicators of community capacity, are necessary to improve active aging.

OBJECTIVE: The Clinical Decision Support System (CDSS) for drug prescriptions was developed by integrating the computerized physician order entry (CPOE) system to support doctors and pharmacists in making correct decisions on prescribing drugs in line with the prescription guidelines by the Health Insurance Review Agency (HIRA). The objective of this study was to evaluate the performance of the CDSS with respect to system quality, information quality, and user satisfaction in reducing prescription errors. METHODS: The study was based on survey data from 38 hospitals that were using the CDSS for drug prescriptions. To identify factors influencing the performance of CDSS, multiple linear regression and chi-square analyses were performed. RESULTS: Regression analysis showed that the variables for system quality and information quality significantly influenced the overall system performance. Specifically, ease of understanding the results and terminology assystem quality measures significantly influenced user satisfaction. Furthermore, based on chi-square analysis, two independent variables (ease of understanding results and decision support functions) were statistically significant with respect to all four dependent variables (information satisfaction, system satisfaction, willingness to recommend to other hospitals, and drug safety). CONCLUSION: Based on this study, users should be educated to improve their understanding of the system,and system and information quality should be continuously monitored to improve user satisfaction.
Drug Prescriptions ; Humans ; Insurance, Health ; Linear Models ; Pharmacists ; Prescriptions