Categories of errors and error frequencies as identified by nurses: results of a cross-sectional study in German nursing homes and hospitals.

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. Subj...

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Publicado en:Journal of Public Health: From Theory to Practice (2198-1833) Vol. 21; no. 1; pp. 3 - 14
Autores principales: Habermann, Monika, Foraita, Ronja, Cramer, Henning
Formato: Artículo
Publicado: Springer Nature Feb2013
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2013
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      pub: Springer Nature
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        10.1007/s10389-012-0531-x
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        atl: Categories of errors and error frequencies as identified by nurses: results of a cross-sectional study in German nursing homes and hospitals.
      aug:
        au:
          Habermann, Monika
          Foraita, Ronja
          Cramer, Henning
        affil:
          Centre for Nursing Research and Counselling, Hochschule Bremen, University of Applied Sciences, Neustadtswall, Bremen, Germany
          BIPS - Institute for Epidemiology and Prevention Research, University of Bremen, Achterstrasse, Bremen, Germany
          Luenener Strasse, Selm, Germany
      su:
        Germany
        Content analysis
        Documentation
        Epidemiology
        Interviewing
        Medical errors
        Nurses
        Sex distribution
        Qualitative research
        Cross-sectional method
        Retrospective studies
        Chi-squared test
        Confidence intervals
        Statistical correlation
        Research methodology
        Nurses' attitudes
        Nursing home employees
        Scientific observation
        Practical nurses
        Questionnaires
        Research
        Research funding
        Risk management in business
        Statistical sampling
        Data analysis
        Statistical significance
        Disease prevalence
        Data analysis software
        Hospital nursing staff
      sug:
        subj:
          Content analysis
          Documentation
          Epidemiology
          Interviewing
          Medical errors
          Nurses
          Sex distribution
          Qualitative research
          Cross-sectional method
          Retrospective studies
          Germany
          Marketing Research and Public Opinion Polling
          Chi-squared test
          Confidence intervals
          Statistical correlation
          Research methodology
          Nurses' attitudes
          Nursing home employees
          Scientific observation
          Practical nurses
          Questionnaires
          Research
          Research funding
          Risk management in business
          Statistical sampling
          Data analysis
          Statistical significance
          Disease prevalence
          Data analysis software
          Hospital nursing staff
      keyword:
        Hospitals
        Nursing
        Nursing error
        Nursing homes
        Patient safety
        Resident safety
        Hospitals
        Nursing
        Nursing error
        Nursing homes
        Patient safety
        Resident safety
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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