This study was aimed to examine how subjects' characteristics and nursing service quality influence hospital revisiting intent, to compare perceptions of patients with those of nurses.

The questionnaire was developed and distributed to 300 patients and nurses at six general hospitals in a provincial city, Korea. For data analysis, the SPSS/PC program was used.

The nursing service quality's scores of patients is 3.61, that of nurses is 3.77, and there is a significant difference. The hospital revisiting intent's score of patients is 4.84, that of nurses is 4.61, and there are no significant differences. In subjects' characteristics, patients perceive that the hospital is the only different factor, and place hospital revisiting intent at 3.6%. Nurses perceive that education level and position are different factors, and place hospital revisiting intent at 3.3%. In nursing service quality, patients perceive that 2 attributes explain hospital revisiting intent at 17.8% and 2 factors explain it at 16.5%; whereas, nurses perceive that 2 attributes explain hospital revisiting intent at 15.3% and 3 factors explain it at 12.2%.

There are perception gaps between consumers and providers. So nursing and hospital managers must recognize these facts and provide various marketing strategies to overcome them.

This study was performed to give direction to quality improvement strategies of nursing services by comparing the differences in quality perceptions and satisfaction for nursing services between patients and nurses in small-medium sized general hospitals with 200 beds.

The subjects, who were 150 inpatients and 162 nurses of 4 general hospitals in a community, answered a self-report questionnaire with a SERVQUAL scale.

There were differences between patients' and nurses' expectations and perceptions of nursing service and satisfaction. In the service expectation, the highest factor was ‘the responsiveness’, and in the perceived performance, the highest was the ‘assurance’. In addition, overall patients' perceptions on nursing services showed higher than nurses'. There were positive correlations among the expectations and perceptions on nursing service, and satisfaction. The correlation between perception and satisfaction was higher than the correlation between expectations and satisfaction.

To improve the nursing service quality at small-medium hospitals, strengthening the ‘assurance’ factor and improving the nursing service support system is needed. Also, this study on nurses' perceived nursing service at small-medium sized hospitals should be duplicated.

This study focused on analysing costs per visiting nursing care based on nursing activities in a public health center.

The Easley-Storfjell Instrument(1997) was used for a prospective descriptive analysis of self-records for workload data from 10 visiting nurses during 4 weeks on all nursing activities. In addition, analysis of the 478 visiting nursing records and cost data from 5 home visiting departments in public health centers during one year of 2003 was done.

The workload of visiting nurses by the type of model was identified as follows: Type I showed that caseloads made up 32.9 % of all nurse activities, and type II showed that the caseloads made up 45.8 %. Second, The cost per visit in type I was 33,088 won and 31,323 won in type II. Third, the estimated budgets were 1,902,436 won to 12,057,696 won for the type I model. and 4,151,316 won to 17,432,712 won for the type II model for one year.

This study's results will contribute to baseline data used to establish on infrastructure for visiting nursing program and visiting nursing agencies based on the budget of visiting nursing services.

This study defines a vulnerable group in a community that has become the main target of a national health project also, it is descriptive research to suggest an evidence-based direction to meet their deficit health-related needs.

This research examined 833 families and 1,835 family members of the financially vulnerable class that was registered in a home visiting program of a public health center. Among them, 892 persons who had health problems, and their family members were examined in detail to find out their characteristics of vulnerability and health needs by assessment during a nurses home visit. Frequency distribution, stepwise-regression and factor analysis were used to analyze the data.

The vulnerable group that was defined with social indexes set as standards, involved substantial characteristics of vulnerability. The characteristics of demand showed tendencies of being clustered in 5 factors needs of intensive nursing care, chronic nursing care problems and helplessness, maintenance of family functioning with a disability, deficient problem solving ability, and simple financial fragility.

Categorization of needs is an evidence-based estimator of workload in nurse home visiting services, and can be used as a basic resource for direction to meet the deficit needs of a vulnerable group.

The purpose of this study was to develop a tool that measures the quality of nursing service, to measure the quality of nursing service perceived by consumers, and to identify the gaps between ideal and actual nursing services.

A questionnaire was developed and distributed to 300 people who had been hospitalized in one of six general hospitals with quality of nursing services in five provincial cities in Korea. For data analysis, the SPSS/WIN(ver 10.0) program was used.

The 20 attributes included in the instrument of quality of nursing service is abstracted into 2 factors : tangibility and intangibility. In quality analysis, 15 of 20 attributes are minus scores, meaning that those nursing services are perceived as generally low. However among the minus scores' attributes, only two attributes are significant statistically. Gaps between importance and performance of the nursing service exists in 19 among 20 attributes.

Nursing service quality (performance-expectation) needs to be improved, and Gaps (importance-performance) reduced. In addition, a tool measuring nursing service quality has to be developed so nurses can deal successfully with the quality and gaps of nursing service perceived by consumers.

This study was performed to measure the nursing service perceived value by consumer and providers, and to investigate the relationship among nursing service, general satisfaction and hospital revisiting intent, and to examinate the tools that measures nursing service's reliability, construct validity and usefulness.

The questionnaire was developed and distributed to 300 patients and 210 nurses at three general hospitals. For data analysis, SPSS/PC program was used.

The nursing service perceived value by providers is higher than that by consumers. There are distinctive difference in the expectation, and importance and performance values of the nursing service perceived. In examination of the relationship among nursing service, general satisfaction and hospital revisiting intent, nursing service has a deep relationship with general satisfaction, but doesn't have relationship with hospital revisiting intent. The tool that measures nursing service has a good reliability and construct validity. In analysis on the usefulness between the tools, SERVPERF tool is more useful than SERVQUAL tool.

The nursing service perceived value by consumer is different that by providers, and the tool that measures nursing service has a good reliability and construct validity. The SERVPERF tool is more useful than SERVQUAL tool.

As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis.

The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword ‘comprehensive nursing care service’ using Python. A morphological analysis was performed using KoNLPy. Nodes on a ‘comprehensive nursing care service’ cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network.

A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, ‘nursing workforce’ and ‘nursing service’ were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were ‘National Health Insurance Service’ and ‘comprehensive nursing care service hospital.’ The nodes with the highest edge weight were ‘national health insurance,’ ‘wards without caregiver presence,’ and ‘caregiving costs.’ ‘National Health Insurance Service’ was highest in degree centrality.

This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.

This study was performed to investigate the relationship among reciprocity, emotional labor, nursing service quality and intent to leave, and to identify factors influencing nursing service quality and intent to leave.

This study was a cross-sectional survey. Participants were 300 nurses working at five general hospitals in two provincial cities in Gyeongsang Province, Korea. From May 1 to June 30, 2014, data were collected using structured questionnaires and analyzed with SPSS/PC ver 20.0 programs.

There were relationships between reciprocity and nursing service quality, and intent to leave, and between emotional labor and intent to leave. Participants' general characteristics, reciprocity and emotional labor explained 48.4% of variance in nursing service quality and participants' general characteristics and these two independent variables explained 31.9% of intent to leave.

These findings indicate that from the perception of hospital nurses, reciprocity and emotional labor are both very important factors to improve the quality of nursing service and decrease the intent to leave. So nursing managers should try to develop various personnel management programs focused on human emotions, and create a mutual respectable organizational culture and work environment.

Cost-benefit analysis is one of the most commonly used economic evaluation methods, which helps to inform the economic value of a program to decision makers. However, the selection of a correct benefit estimation method remains critical for accurate cost-benefit analysis. This paper compared benefit estimations among three different benefit estimation models.

Data from community-based chronic hypertension management programs in a city in South Korea were used. Three different benefit estimation methods were compared. The first was a standard deterministic estimation model; second, a repeated-measures deterministic estimation model; and third, a transitional probability estimation model.

The estimated net benefit of the three different methods were $1,273.01, $-3,749.42, and $-5,122.55 respectively.

The transitional probability estimation model showed the most correct and realistic benefit estimation, as it traced possible paths of changing status between time points and it accounted for both positive and negative benefits.

The purpose of this study was to estimate nursing costs and to establish appropriate nursing fees for long-term care services for community elders.

Seven nurses participated in data collection related to visiting time by nurses for 1,100 elders. Data on material costs and management costs were collected from 5 visiting nursing agencies. The nursing costs were classified into 3 groups based on the nurse's visit time under the current reimbursement system of long-term care insurance.

The average nursing cost per minute was 246 won. The material costs were 3,214 won, management costs, 10,707 won, transportation costs, 7,605 won, and capital costs, 5,635 won per visit. As a result, the average cost of nursing services per visit by classification of nursing time were 41,036 won (care time <30 min), 46,005 won (care time 30-59 min), and 57,321 won (care time over 60 min).

The results of the study indicate that the fees for nurse visits currently being charged for long-term care insurance should be increased. Also these results will contribute to baseline data for establishing appropriate nursing fees for long-term care services to maintain quality nursing and management in visiting nursing agencies.

The purposes of this study were to explore the functional status of elderly residents and to analyze time use, and finally identify factors to predict nursing care needs in relation to functional status and health related variables. Methods: In this study a descriptive-correlational design was used. Functional status of participants was obtained through interviews, and nursing care time was examined using a 1 min time-motion study with a standardized instrument developed by Korea Long-Term Care Planning Committee (2005).

In this study a descriptive-correlational design was used. Functional status of participants was obtained through interviews, and nursing care time was examined using a 1 min time-motion study with a standardized instrument developed by Korea Long-Term Care Planning Committee (2005).

The mean total functional score was 65 (range 28-125) and mean total nursing care time was 144.15 min per day. There were significant positive relationships between total nursing care time, marital status, back pain, dementia, and vision impairment. Multiple regression analyses showed that a liner combination of number of illnesses, types of primary disease, ADL, IADL, cognitive function, nursing demand, and rehabilitation demand explained 42.8% of variance of total nursing time. ADL (β=-.533) was the most significant predictor of nursing service need.

Identifying factors that result in variations of service need has implications for adequate nursing service, estimation of optimum nurse to patient ratio, quality of care and patient safety.

The aim of this study was to analysize net income of a surgical nursing ward in a general hospital.

Data collection and analysis was conducted using a performance-based costing and activity-based costing method.

Direct nursing activities in the surgical ward were 68, indirect nursing activities were 10. The total cost volume of the surgical ward was calculated at ₩119,913,334.5. The cost volume of the allocated medical department was ₩91,588,200.3, and the ward consumed cost was ₩28,325,134.2. The revenue of the surgical nursing ward was ₩33,269,925.0. The expense of a surgical nursing ward was ₩28,325,134.2. Therefore, the net income of a surgical nursing ward was ₩4,944,790.8.

We suggest that to develop a more refined nursing cost calculation model, a standard nursing cost calculation system needs to be developed.

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.

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.

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 of7 domains and 33 indicators. They were applied in three nursing homes and it was revealed that all the indicators were applicable.

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.