Factor structure of the Maslach burnout inventory: An analysis of data from large scale cross-sectional surveys of nurses from eight countries

Job burnout is an important predictor of nurse retention. Reliable and valid measures are required to monitor this phenomenon internationally. To evaluate the applicability of the Maslach burnout inventory (MBI) in international nursing research. Secondary analysis of cross-sectional hospital nurse...

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Veröffentlicht in:International journal of nursing studies Jg. 46; H. 7; S. 894 - 902
Hauptverfasser: Poghosyan, Lusine, Aiken, Linda H., Sloane, Douglas M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Elsevier Ltd 01.07.2009
Elsevier Limited
Schlagworte:
Adult
Burnout
Burnout, Professional
Correlation analysis
Cross-national research
Cross-Sectional Studies
Data Collection
Depersonalization
Discriminant analysis
Emotions
Exploratory factor analysis
Factor analysis
Factor Analysis, Statistical
Fatigue
Hospitals
Humans
Indexes
International comparisons
Internationality
Measures
Medical personnel
Middle Aged
Nurses
Nurses - psychology
Nursing
Polls & surveys
Predictive validity
Reliability
Statistical analysis
Stress
New Zealand
Canada
United Kingdom > UK
United States > US
Germany
Armenia
USA
Japan
Russia
Cross-national research
Burnout
Factor analysis
ISSN:0020-7489, 1873-491X, 1873-491X
Online-Zugang:Volltext
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Zusammenfassung:Job burnout is an important predictor of nurse retention. Reliable and valid measures are required to monitor this phenomenon internationally. To evaluate the applicability of the Maslach burnout inventory (MBI) in international nursing research. Secondary analysis of cross-sectional hospital nurse survey data from eight countries. Hospitals in the U.S., Canada, the U.K., Germany, New Zealand, Japan, Russia and Armenia. 54,738 direct care professional nurses from 646 hospitals in eight countries. Confirmatory and exploratory factor analysis were undertaken to identify the factor structure of the MBI. The internal consistencies of the subscales were investigated. Exploratory factor analysis revealed three factors being extracted from the 22-item Maslach burnout inventory. In nearly all countries the two items (6 and 16) related to the “stress” and “strain” involved in working with people loaded on the depersonalization subscale rather than the emotional exhaustion subscale to which they were initially assigned. The three subscales exhibited high reliability with Cronbach alphas exceeding the critical value of 0.70. The correlation coefficients for the emotional exhaustion and depersonalization subscales were strong and positive. The 22-item Maslach burnout inventory has a similar factor structure and, with minor modifications, performed similarly across countries. The predictive validity of the emotional exhaustion and depersonalization subscales might be improved by moving the two items related to stress and strain from the emotional exhaustion to the depersonalization subscale. Nevertheless, the MBI can be used with confidence as a burnout measure among nurses internationally to determine the effectiveness of burnout reduction measures generated by institutional and national policies.
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ISSN:0020-7489
1873-491X
1873-491X
DOI:10.1016/j.ijnurstu.2009.03.004