PURPOSE: This study examined the effects of individual reminiscence therapy on older adults' depression, morale, and the quality of life. METHODS: The design was a single-group pre-test and post-test study. Subjects consisted of 31 older adults from two senior centers and a welfare center in Seoul. Individual reminiscence therapy was applied to study subjects four times, once a week for an hour at each time. Measurement tools were the Geriatric Depression Scale Short Form Korea (GDSSF-K) for depression, Mun Ae-ri's (1996) scale for morale, and Medical Outcomes Study Short Form 36 (SF-36) for the quality of life. Data was analyzed using descriptive statistics, paired t-test, and pearson correlation. RESULTS: The application of individual reminiscence therapy reduced older adults' depression (t=-5.65, p=.000), and enhanced older adults' morale (t=4.65, p=.000). The application of individual reminiscence therapy improved older adults' quality of life (t=5.00, p=.000). CONCLUSION: Findings of the study suggest that individual reminiscence therapy may be applied as a nursing intervention that contributesto the improvement of older adults' quality of life, reduces their depression, and enhances their morale.
Aged ; Aged, 80 and over ; Depression/psychology/*therapy ; Female ; Humans ; Male ; *Mental Recall ; *Morale ; Psychotherapy/*methods ; *Quality of Life

OBJECTIVES: The objective of this study was to review and visualize the medical informatics field over the previous 12 months according to the frequencies of keywords and topics in papers published in the top four journals in the field and in Healthcare Informatics Research (HIR), an official journal of the Korean Society of Medical Informatics. METHODS: A six-person team conducted an extensive review of the literature on clinical and consumer informatics. The literature was searched using keywords employed in the American Medical Informatics Association year-in-review process and organized into 14 topics used in that process. Data were analyzed using word clouds, social network analysis, and association rules. RESULTS: The literature search yielded 370 references and 1,123 unique keywords. ‘Electronic Health Record’ (EHR) (78.6%) was the most frequently appearing keyword in the articles published in the five studied journals, followed by ‘telemedicine’ (2.1%). EHR (37.6%) was also the most frequently studied topic area, followed by clinical informatics (12.0%). However, ‘telemedicine’ (17.0%) was the most frequently appearing keyword in articles published in HIR, followed by ‘telecommunications’ (4.5%). Telemedicine (47.1%) was the most frequently studied topic area, followed by EHR (14.7%). CONCLUSIONS: The study findings reflect the Korean government's efforts to introduce telemedicine into the Korean healthcare system and reactions to this from the stakeholders associated with telemedicine.
Computer Graphics ; Data Mining ; Delivery of Health Care ; Informatics* ; Medical Informatics ; Telemedicine