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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| Published in: | International journal of nursing studies Vol. 46; no. 7; pp. 894 - 902 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Elsevier Ltd
01.07.2009
Elsevier Limited |
| Subjects: | |
| ISSN: | 0020-7489, 1873-491X, 1873-491X |
| Online Access: | Get full text |
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| Abstract | 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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| AbstractList | 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. Research to investigate how applicable and reliable the full Maslach Burnout Inventory (MBI) was in cross-national burnout research. Nurses from 8 English and non-English speaking countries were surveyed to measure the different dimensions of burnout in different countries and to identify whether international comparisons were possible using the MBI. [(BNI unique abstract)] 41 references Background: Job burnout is an important predictor of nurse retention. Reliable and valid measures are required to monitor this phenomenon internationally. Objective: To evaluate the applicability of the Maslach burnout inventory (MBI) in international nursing research. Design: Secondary analysis of cross-sectional hospital nurse survey data from eight countries. Settings: Hospitals in the U.S., Canada, the U.K., Germany, New Zealand, Japan, Russia and Armenia. Participants: 54,738 direct care professional nurses from 646 hospitals in eight countries. Methods: Confirmatory and exploratory factor analysis were undertaken to identify the factor structure of the MBI. The internal consistencies of the subscales were investigated. Results: 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. Conclusions: 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. 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. Job burnout is an important predictor of nurse retention. Reliable and valid measures are required to monitor this phenomenon internationally.BACKGROUNDJob 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.OBJECTIVETo 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.DESIGNSecondary 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.SETTINGSHospitals 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.PARTICIPANTS54,738 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.METHODSConfirmatory 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.RESULTSExploratory 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.CONCLUSIONSThe 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. |
| Author | Sloane, Douglas M. Aiken, Linda H. Poghosyan, Lusine |
| Author_xml | – sequence: 1 givenname: Lusine surname: Poghosyan fullname: Poghosyan, Lusine email: l.poghosyan@neu.edu organization: Bouve’ College of Health Sciences, School of Nursing and School of Health Professions/Masters of Public Health (MPH), Northeastern University, 103 Robinson Hall, 360 Huntington Avenue, Boston, MA 02115-5000, USA – sequence: 2 givenname: Linda H. surname: Aiken fullname: Aiken, Linda H. organization: Center for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, USA – sequence: 3 givenname: Douglas M. surname: Sloane fullname: Sloane, Douglas M. organization: Center for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/19362309$$D View this record in MEDLINE/PubMed |
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| Snippet | Job burnout is an important predictor of nurse retention. Reliable and valid measures are required to monitor this phenomenon internationally.
To evaluate the... Job burnout is an important predictor of nurse retention. Reliable and valid measures are required to monitor this phenomenon internationally. To evaluate the... Background: Job burnout is an important predictor of nurse retention. Reliable and valid measures are required to monitor this phenomenon internationally.... Job burnout is an important predictor of nurse retention. Reliable and valid measures are required to monitor this phenomenon internationally.BACKGROUNDJob... Research to investigate how applicable and reliable the full Maslach Burnout Inventory (MBI) was in cross-national burnout research. Nurses from 8 English and... |
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| SubjectTerms | 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 |
| Title | Factor structure of the Maslach burnout inventory: An analysis of data from large scale cross-sectional surveys of nurses from eight countries |
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