Purpose This study’s purpose was to identify the influence of retirement expectations and readiness on retirement anxiety among middle-aged nurses. Methods The participants were 216 middle-aged nurses working at nine locations including hospitals, long-term care hospitals, general hospitals, and tertiary hospitals in B city. Data were collected from April 25 to May 13, 2022 using self-report questionnaires and analyzed using t-tests, one-way ANOVAs, Scheffé́ tests, Pearson’s correlation coefficients, and multiple regression with SPSS/WIN 28.0. Results The mean scores for retirement expectations, retirement readiness, and retirement anxiety were 3.49±0.38, 3.21±0.59, and 2.48±0.51, respectively. Retirement anxiety was found to be significantly affected by new beginnings (β=-.31, p<.001) for retirement expectations and life design readiness (β=-.27, p=.002) and, leisure readiness (β=-.27, p<.001) for retirement readiness. These variables accounted for 33.0% the retirement anxiety among middle-aged nurses. Conclusion To reduce retirement anxiety among middle-aged nurses, it is necessary to adopt an organizational approach enhancing their perceptions and using a policy alternative to make use of older nurses' extensive knowledge and experience.
PURPOSE This study was done to identify the factors involved in ageism in nurses. METHODS The participants in this study were 178 general hospital nurses. Data were collected in March 2019 using self-report questionnaires, and were analyzed using descriptive statistics, independent t-test, Mann-Whitney U test, one-way ANOVA, Kruskal-Wallis test, and stepwise multiple linear regression. RESULTS The total score for ageism was 39.75±5.44 out of a maximum of 72. Ageism had a statistically significant relationship with contact experience (r=-.47, p < .001), attitude (r=.40 p < .001), and aging anxiety (r=.35 p < .001). The determining factors affecting ageism were contact experience (β=-.45, p < .001), attitude(β=.20, p=.002), work place (β=.22, p < .001), marital status (β=.21, p < .001), geriatric nursing preference (β=.18, p=.006), geriatric education (β=.17, p=.006), and aging anxiety (β=.14, p=.041). The explanation power of these variables was 39%. CONCLUSION The results suggest that contact experience with elders had the largest influence on ageism in nurses. Therefore, it is necessary to develop tailored education programs by hospital type to increase positive contact experience and promote understanding of older patients in acute care settings. Furthermore, the importance of the perception of ageism needs to be highlighted in nursing education and continuing education for nurses.
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PURPOSE This study was done to explore factors related to amount of service use for elders with long-term care needs. METHODS A descriptive-correlation design was used. The sample included 259 elders and their primary caregivers who had cared for the elders for at least 6 months. Data on long-term care need assessment, service use and interviews with primary caregivers were analyzed. RESULTS There was no significant relationship between the sociodemographic characteristics and the amount of services use. Amount of service use differed significantly by Long-term care classification. The mean scores for class 1, 2 and 3 were 22.68, 21.47 and 17.87 days respectively. Primary caregiver relationship with the elders and the number of family-friend helpers were also significant. Multivariate regression analysis showed that gender, marital status, activities of daily living, cognitive impairment, and secondary caregiver support explained 17% of the total variance of service use among these elders (F=3.50, p<.001). CONCLUSION The results of this study indicate that critical factors including secondary caregiver support and individual background, and other functional dependencies except for physical function should be considered in accurately predicting the amount of service use for community dwelling elders with long-term care needs.
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PURPOSE This study was conducted to evaluate the economic efficiency of a community-based nursing care center to help policy makers determine whether or not to invest in similar facilities. METHODS The subjects were 101 elderly people over 65 years who participated in a health management program from February 1 to July 31, 2007. Direct cost was estimated with center operations cost, medical cost for out-patients and pharmacy cost. Indirect cost was measured by transportation cost. Direct benefit was calculated by saved medical cost for out-patients, saved pharmacy cost, saved transportation cost, and reducing hospital charges. Indirect benefit was estimated with prevention of severe complications. Economic efficiency was evaluated by cost-benefit ratio and net benefit. RESULTS Operating a community-based nursing care center was found to be cost-effective. Specifically, the cost of operating the center evaluated here was estimated at 135 million won while the benefit was estimated at 187 million won. Benefit-cost ratio was 1.38. CONCLUSION The Community-based nursing care center that was described here could be a useful health care delivery system for reducing medical expenditures.
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