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Knowledge and Attitude of 851 Nursing Personnel toward Depression in General Hospitals of Korea

Authors
Park, Seon-CheolLee, Hwa-YoungLee, Dong-WooHahn, Sang-WooPark, Sang-HoKim, Yeo-JuChoi, Jae SungLee, Ho-SungLee, Soyoung IreneNa, Kyoung-SaeJung, Sung WonShim, Se-HoonChoi, JoonhoPaik, Jong-WooKwon, Young-Joon
Issue Date
Jul-2015
Publisher
KOREAN ACAD MEDICAL SCIENCES
Keywords
Nursing Personnel; Knowledge; Attitudes; Depression; Medical Diseases
Citation
JOURNAL OF KOREAN MEDICAL SCIENCE, v.30, no.7, pp.953 - 959
Journal Title
JOURNAL OF KOREAN MEDICAL SCIENCE
Volume
30
Number
7
Start Page
953
End Page
959
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10406
DOI
10.3346/jkms.2015.30.7.953
ISSN
1011-8934
Abstract
Our study aimed to examine the knowledge and attitude of nursing personnel toward depression in general hospitals of Korea. A total of 851 nursing personnel enrolled at four university-affiliated general hospitals completed self-report questionnaires. Chi-square tests were used to compare the knowledge and attitude of registered or assistant nurses toward depression. In addition, binary logistic regression analysis was used to adjust for the following confounders: age-group and workplace. Registered and assistant nurses differed in their knowledge and attitude toward depression. The proportion of rational and/or correct responses were higher in registered nurses than assistant nurses for the following: constellation of depressive symptoms defined by DSM-IV (adjusted odds ratio [aOR], 3.876; P < 0.001); suicide risk in depression recovery (aOR, 3.223; P = 0.001) and psychological stress as a cause of depression (aOR, 4.370; P < 0.001); the relationship between chronic physical disease and depression (aOR, 8.984; P < 0.001); and other items. Our results suggest that in terms of the biological model of depression, the understanding of registered nurses is greater than that of assistant nurses. Moreover, specific psychiatric education programs for nursing personnel need to be developed in Korea. Our findings can contribute to the development of a general hospital-based model for early detection of depression in patients with chronic medical diseases.
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