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- Title
Stress, COVID‐19 related knowledge, attitude, and infection control performance of nurses at long‐term care hospitals.
- Authors
Shim, Ji Ae; Jeong, Sun Young
- Abstract
This study aimed to identify the stress level, knowledge, attitude, and infection control performance of nurses at long‐term care hospitals (LTCHs) designated for infectious disease management and to investigate factors contributing to infection control performance. A total of 178 nurses who had worked for at least 1 month at seven LTCHs designated for infectious disease management and provided care for patients confirmed with COVID‐19 were enrolled in the study. Data were collected from February to March 2022 using written and online self‐report questionnaires. COVID‐19 infection control performance was higher among married than among single participants (t = −3.71, p < 0.001), among those aged 40–49 versus 30–39 years (F = 4.10, p = 0.003), and those with 1–2, 3–4, or ≥5 sessions versus no prior education (F = 6.41, p < 0.001). COVID‐19 infection control performance was negatively correlated with stress (r = 0.26, p < 0.001) and positively correlated with knowledge (r = 0.40, p < 0.001) and attitude toward COVID‐19 (r = −0.36, p < 0.001). Stress (β = −0.17, p = 0.012), knowledge of COVID‐19 (β = 0.28, p < 0.001), attitude toward COVID‐19 (β = 0.20, p = 0.004), and marital status (β = 0.18, p = 0.009) were identified as predictors of COVID‐19 infection control performance.
- Subjects
HOSPITALS; RESEARCH; COVID-19; NURSING; NURSES' attitudes; COMMUNICABLE diseases; CROSS-sectional method; ONE-way analysis of variance; RESEARCH methodology evaluation; MULTIPLE regression analysis; INFECTION control; CRONBACH'S alpha; COMPARATIVE studies; T-test (Statistics); PEARSON correlation (Statistics); DESCRIPTIVE statistics; SCALE analysis (Psychology); QUESTIONNAIRES; MARITAL status; JOB performance; STATISTICAL correlation; DATA analysis software; PSYCHOLOGICAL stress; LONG-term health care; DISEASE management
- Publication
Nursing & Health Sciences, 2023, Vol 25, Issue 2, p247
- ISSN
1441-0745
- Publication type
Article
- DOI
10.1111/nhs.13016