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Categories of errors and error frequencies as identified by nurses: results of a cross-sectional study in German nursing homes and hospitals.
- Source :
- Journal of Public Health (09431853); Feb2013, Vol. 21 Issue 1, p3-13, 11p
- Publication Year :
- 2013
-
Abstract
- Aim: Knowledge about nurses' error perception is crucial for establishing a sustainable risk management. This paper presents categories and frequencies of errors as identified by nurses. The cross-sectional study results provide further knowledge for professional and organizational development. Subject and methods: Data from 1,100 German nurses working in 30 hospitals and 46 nursing homes were collected using a self-administered questionnaire. This paper firstly presents results from a content analysis of nurses' descriptions of errors and, secondly, results on frequencies of predefined nursing errors (closed-ended, ordinal frequency estimation). Thirdly, it compares the answers of hospital nurses with those of nurses employed in nursing homes and finally it compares answers of participant groups defined by sex or migration background. Results: In the open-ended section, errors described by 60.5 % of the participants concerned medical diagnosis/therapy. 20.7 % had experienced errors in hands-on care, while errors in communication with patients were noted by 3.7 %. In contrast, when offering predefined activities in the questionnaire's closed-ended part, indicated frequencies of errors stressed issues of hands-on care and documentation. Significant differences exist between participants from both settings regarding direct care and relationship building. Sex and migration background were related to frequency estimations. Conclusions: Findings point to shortened professional perspectives in the debates on risk and safety. This might lower nurses' compliance in risk management systems. The influence of health professionals' sex and migration background on their error perception needs further exploration. Field specific approaches for error prevention are needed. [ABSTRACT FROM AUTHOR]
- Subjects :
- CHI-squared test
CONFIDENCE intervals
CONTENT analysis
STATISTICAL correlation
DOCUMENTATION
EPIDEMIOLOGY
INTERVIEWING
RESEARCH methodology
MEDICAL errors
NURSES
NURSES' attitudes
NURSING home employees
SCIENTIFIC observation
PRACTICAL nurses
QUESTIONNAIRES
RESEARCH
RESEARCH funding
RISK management in business
STATISTICAL sampling
SEX distribution
QUALITATIVE research
DATA analysis
STATISTICAL significance
DISEASE prevalence
CROSS-sectional method
RETROSPECTIVE studies
DATA analysis software
HOSPITAL nursing staff
Subjects
Details
- Language :
- English
- ISSN :
- 09431853
- Volume :
- 21
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Public Health (09431853)
- Publication Type :
- Academic Journal
- Accession number :
- 85012146
- Full Text :
- https://doi.org/10.1007/s10389-012-0531-x