Purpose This study examined outpatients’ experiences of patient participation, their level of patient satisfaction, and the factors that influence their patient satisfaction with outpatient care.
Methods: This cross-sectional descriptive study utilized secondary data from the 2018 Survey on the Experience with Healthcare Service conducted in South Korea. Data from 6,684 outpatients over the age of 20 years who had visited hospitals were analyzed. Patient characteristics, health-related characteristics, and their experiences of patient participation were assessed as factors related to patient satisfaction. Factors that influenced patient satisfaction with outpatient care were identified using logistic regression analysis.
Results: Overall, 84.9% of the participants were satisfied with the received outpatient care. Higher patient satisfaction with outpatient care was significantly associated with middle (40~59 years) and old age (≥60 years), good self-rated health status, and experience of patient participation in patient safety activities.
Conclusion: Multiple factors were related to patient satisfaction with outpatient care. These factors need to be considered when evaluating patients’ satisfaction levels. To improve satisfaction with health care use, it is essential to provide more experiences and expand their opportunities for patient participation during the care process and establish healthcare policies and strategies to enhance patient participation in patient safety.
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Purpose This study aimed to estimate the unmet demand for INCS and the number of needed beds for fulfillment.
Methods: Annual data from the Korea Health Panel (2015~2018), Health Insurance Statistical Yearbook (2015~ 2019), and published statistical data (2015~2019) were used. To measure the unmet demand, the utilization of informal nursing care services, which can be a market substitute for INCS, was used. The number of needed beds was calculated by dividing the demand by the bed occupancy rate multiplied by 365 days.
Results: The unmet demand decreased every year and was estimated to be 31~47 million person-day as of 2019. It was the highest in Gyeonggi (6~8 million) and the lowest in Jeju (160~220 thousand), while the fulfilled rate was the highest in Incheon (52~61%) and the lowest in Jeonbuk (6~8%). For each type, general hospitals showed the highest unmet demand (6~10 million), followed by hospitals (5~8 million) and tertiary hospitals (4~7 million). Gyeonggi province (37,212~48,882) and general hospitals (54,955~70,962) were most needed additional INCS beds.
Conclusion: Tailored bed expansion strategies are necessary to satisfy each region's and hospital’s demand. Considering the multi-layered causes of unmet demand, a healthcare system reform that increases the regional self-sufficiency of INCS is required.
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Purpose This study aimed to examine the prevalence of unmet healthcare needs and the factors that influence unmet healthcare needs among older people with cognitive impairment. Methods: A cross-sectional, descriptive design with secondary data from the 2017 National Survey of Older Koreans was used in this study. Data from 1,382 people over the age of 65 years with cognitive impairments were analyzed. Logistic regression analysis was conducted based on Andersen’s Behavioral Model of Health Services Use. Results Overall, 9.6% of the participants reported unmet healthcare needs during the previous 12 months. The main reasons for unmet healthcare needs were financial constraints (45.4%), mobility limitation (18.0%), and mildness of symptoms (14.9%). Higher unmet healthcare needs were significantly associated with fewer years of education, no family members providing caregiving or assistance with hospital visits, fewer close relatives, lower income, greater impairment in activities of daily living, and presence of depressive symptoms. Conclusion Our findings indicate that predisposing factors, enabling factors, and need factors were significantly associated with unmet healthcare needs among elderly individuals with cognitive impairment. Therefore, it is necessary to establish healthcare policies and strategies to improve the accessibility of healthcare services.
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PURPOSE The purpose of this study was to identify factors related to Vietnamese customers who use Korean medical and tourism services. The study was based on the Anderson Models METHODS: Participants were 173 Vietnamese who were living in Ho Chi Minh and Hanoi in Vietnam. Data were analyzed using descriptive statistics, χ², t-test and Multiple Logistic Regression. RESULTS Research necessary factors had the most significant effect among the preceding factors, possible factors and necessary factors. Human service and outstanding natural beauty of necessary factors had significant influence on customer intention to use. According to the result of the stepwise logistic regression analysis, the most important item in medical services was human service OR=1.89 (p=.014), and for tour services, outstanding natural beauty OR=4.30 (p=.033). The explained variance for customer intention to use was 91.9%. CONCLUSION These results suggest the need to improve the human service and outstanding natural beauty to retain customers' intention to use.
PURPOSE The purpose of this study was to examine the causal relationships of perceived risk, satisfaction, switching cost and loyalty in outpatient health services. METHOD A survey using a structured questionnaire was conducted with 393 hospital outpatients. The analysis of data was done with both SPSS Win 17.0 for descriptive statistics and AMOS 18.0 for structural equation model. RESULTS The causal model yielded Chi-square=31.44 (p=<.001), df=4, GFI=.98, AGFI=.87, CFI=.97, RMSR=.04, NFI=.96, IFI=.97 and showed relatively good fit indices. Perceived risk had a significant direct effect on customer satisfaction. Customer satisfaction, financial switching cost and relational switching cost had significant direct effects on customer loyalty. Perceived risk and customer satisfaction had significant indirect effects on customer loyalty. CONCLUSION These results suggest that we should decrease the perceived risk and improve the customer satisfaction and switching cost to retain loyal customers. Further study with both a larger sample from various hospitals and a longitudinal design is necessary.
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