• Health Policy and Management
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• v.15 no.4
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• pp.26-45
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• 2005

The purposes of this study were to Identify the .level of measurement on quality Indicators and evaluate the existing indicators in order to determine the priority of quality indicators' application in Korean general hospitals. A survey was conducted using a questionnaire. The subjects were quality managers working at general hospital having over 300 beds. The criteria were relevance, reliability, precision, impact, application, and preference to evaluate quality indicators. According to these six criteria, each indicator was evaluated on a five point scale(5: excellent, 1: poor). The response rate was $40.4\%$. The hospitals have monitored the average of 3.8 indicators(median 4). The indicators such as return to operating room, unplanned readmission, cancellation of booked operations, death, hospital infection, cesarean section rate, volume per disease or procedure, readmission, re-operation, blood transfusion, and post-procedural complications were frequently measured. The top ten quality indicators in the evaluation by its relevance, validity, reliability, impact, preference and application were decubitus ulcer, clean wound infection, fall, unplanned return to operation room, transfusion reactions, foreign body left In during procedure, unplanned readmission, wound infection after contaminated surgery, postoperative hemorrhage/hematoma, and cesarean section rate in order. The high priority quality indicators frequently measured could be used as primary national indicators. Standardized guidelines about monitoring indicators and the utilization will preliminarily be needed to compare and reuse the data for various purposes and improve the quality of care continuously.

• Journal of Korean Academy of Nursing Administration
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• v.14 no.2
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• pp.131-143
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• 2008

Purpose: The aim of this study was to develop service quality indicators to evaluate structure and process of the nursing home service. Method: On the basis of literature review and analysis of existing quality indicators, the researcher made a preliminary service quality indicators and verified content validity twice. The final service quality indicators were applied in 30 nursing homes. Results: Preliminarily, 3 domains, 24 sub-domains, and 156 indicators were generated. Through two content validity testings, the indicators scoring over .80 CVI for each testing were adopted and modified by discussion with a panel of experts. The final indicators consisted of 3 domains, 15 sub-domains, and 128 indicators. These indicators were applied in 30 nursing homes. The result showed that they were easily applicable and suitable for a evaluation of service quality in nursing home. Conclusion: This 'service quality indicators in nursing home' was verified by the content validity. This tool will be able to be used for evaluation and improvement of nursing home service quality. However, repeated researches are needed for further validity and reliability.

• Educational Technology International
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• v.6 no.1
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• pp.81-101
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• 2005

Campus-based universities have provided face-to-face instruction traditionally. But recently, it is becoming a trend that they provide blended learning which combines e-learning and f2f instruction. Therefore, traditional university has been installing the ICT related convenience for the faculty and students to use easily to their classes. The purpose of this study is to develop quality indicators of ICT-related support for proper blended learning in traditional campus-based universities. This indicators are used for measuring the quality of ICT-related services at university level for quality education. To this end, first, we reviewed literature about quality indicators of university evaluation and e-learning. Second,we did case study. We selected and analyzed one university for a case, And we identified what elements are perceived important to faculty for more efficient use of technology to their class. Third, we summarized all this data and established the quality indicators framework of ICT-related components for blended learning in campus-based universities. Then, these indicators were revised after the expert evaluation. And then 10 experts and practitioners scored importance rating. Finally, we sum them up to 17 indicators and 48 sub-indicators in three phases (input, process, output). Among them, e-learning related organization or body, usability of Learning Management System, and quality assessment system got the highest scores. These indicators are supposed to contribute to measure the quality of ICT-related environment for blended learning and to provide informations about what is required for efficient blended learning in the campus-based universities.

• Quality Improvement in Health Care
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• v.8 no.2
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.1
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• pp.106-117
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• 2012

Purpose: This study was designed to develop quality outcome indicators for nursing homes and community-based home care that would contribute to an appropriate evaluation and improvement of quality of long term care in Korea. Methods: The preliminary quality indicators of long term care were developed from a literature review and clinical expert panel. A content validity testing was done using a panel of experts who were selected from academic and clinical field of long-term care. The final quality indicators were confirmed after application in four nursing homes and four home care agencies to test clinical validity. Results: The preliminary quality indicators consisted of 3 domains and 19 indicators. The final quality indicators were composed of 4 domains and 17 indicators. Conclusion: This study demonstrated the feasibility of outcome quality indicators in long term care. These quality indicators can be effectively used to evaluate the quality of nursing home and home care and to improve the quality of care in the Korean long-term care system.

• Journal of Korean Academy of Nursing
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• v.37 no.3
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• pp.401-413
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• 2007

Purpose: This study was designed to develop Nursing Service Quality Indicators(NSQIs) in nursing homes that would lead to an appropriate evaluation and improvement of nursing service quality. Methods: The preliminary NSQIs were developed through literature reviews and analysis of existing quality indicators. A content validity testing was done twice by using a panel of experts who were from academia and the clinical areas. The final NSQIs were confirmed and applied in three nursing homes to test feasibility. Results: The preliminary NSQIs had 4 domains and 31 indicators. Two content validity testings were performed. The indicators scoring over.80 CVI for each testing were selected and modified by experts' opinions. The final NSQIs consisted of 7 domains and 33 indicators. They were applied in three nursing homes and it was revealed that all the indicators were applicable. Conclusion: In this study, it is shown that this new 'Nursing Service Quality Indicators in Nursing Homes' is suitable for a holistic evaluation of nursing service quality of elderly patients in nursing homes. This NSQIs will be able to provide a basis for establishing nursing care standards and improving the nursing care quality in nursing homes.

• Korean Journal of Soil Science and Fertilizer
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• v.37 no.3
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• pp.192-198
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• 2004

The heavy dependence of modern science-based agriculture on chemicals such as fertilizers and pesticides, and heavy machinery gave rise to questions about long-term sustainability of agriculture in relation to degradation of soil quality. The research achievements and trends in developing soil quality indicators were introduced and discussed in this report. Organization for Economic Cooperation and Development (OECD) established 13 agri-environment indicators including soil quality indicator in 1994, collected the soil data and methodologies for development of soil quality indicators in OECD member countries responded to OECD questionnaires and published the OECD reports, Environmental Indicators for Agriculture Volume 1, 2, and 3. Leading countries such as USA, Canada and New Zealand collected national data and evaluated the data in aspect of soil quality. They developed the various methods for selecting a minimum data set (MDS), scoring the soil properties and calculating soil quality index integrating the score of each soil property.

• International Journal of Contents
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• v.18 no.3
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• pp.34-48
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• 2022

The purpose of this study was to develop indicators for quality management of educational institutions, and to achieve this, literature analysis and expert interviews were conducted. Through literature analysis, the components of TQM were derived focusing on factors to improve the quality of education, engineering education accreditation standards, and a representative education accreditation system, were considered. Additionally, seven areas as well as 32 indicators required for education quality management, were derived by comparing the EFQM excellence model and the MBNQA education model, applied for quality management of companies and institutions. By comparing and synthesizing these results, a draft was developed for the quality management index of educational institution. Next, opinions on correction and supplementation of quality management indicators derived from literature analysis, were collected from five education experts. From the comparisons and integration of these results, eight criteria (leadership, strategy, customers, people, facilities and environment, curriculum management, curriculum improvement, and performance management) and 34 indicators, were proposed for quality management indicators for educational institutions. Curriculum management, people, and performance management criteria were considered more significantly in quality management of educational institutions, and several implications are suggested based on the study results.

• Journal of Korean Academy of Nursing Administration
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• v.3 no.1
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• pp.107-118
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• 1997

This study was designed to obtain basic data for development of evaluation tool which would be needed to measure the outcome of general quality nursing care of individual patient. The purpose of this study was to analyze and classify the outcome indicators of quality nursing care. The 29 articles of quality nursing care and outcome measures were selected coveniently, and analyzed to classify the outcome indicators of quality nursing care using open coding method. The results of this study were as follows: 1. Quality nursing care was defined as level of excellence of nursing care to achieve good patient outcome. 2. The 6 domains of which were health status, satisfaction, self care, patient progress and prognosis, and compliance were identified in outcome indicators of quality nursing care 3. Seven indicators of health status domain which were perceived health status, quality of life, well-being, daily activities, physical-physiological status, psychoemotional status, and social role functioning were identified. 4. Two indicators of satifaction domain which were patient satisfaction and family satisfaction were identified. 5. Three indicators of self care domain which were skill, knowledge, and home management were identified. 6. Seven indicators of patient progress and prognosis domain which were change of clinical status, resolution of nursing diagnosis and problem, days of stay, dicahrge state, recovery state, survival were identified. 7. compliance with therapeutic direction compliance was identified as an indicator of compliance domain. 8. It was sugested that studies for development of evaluation tools for outcomes of quality nursing the results of this study could be executed

• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.767-781
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• 2019

Purpose: The purpose of this study is to derive key evaluation indicators to improve the quality of daycare centers by identifying the relationships among the 18 evaluation indicators of the daycare evaluation system using the DEMATEL technique. Methods: In this study, the questionnaires are completed by 17 daycare center directors who have received accreditation of daycare center. They are requested to consider the level of direct influence between two evaluation indicators. A DEMATEL analysis was conducted based on the survey results. Results: The result of the study shows that the most important indicators of daycare center quality are directors leadership, institutional operations and professionalism of staff. Among evaluation areas, educational childcare curriculum & interactions is affected by all areas, and staff area affect all areas. Conclusion: The evaluation areas and indicators of the daycare center are judged to be well-balanced. It is expected that the findings of the key evaluation indicators that should be prioritized among the evaluation indicators will be helpful to those preparing for the evaluation of the daycare center.