The psychometric properties of the Burnout Assessment Tool in Norway: A thorough investigation into construct-relevant multidimensionality.

OBJECTIVE: The World Health Organization recognizes burnout as an occupational issue. Nevertheless, accurately identifying employee burnout remains a challenging task. To complicate matters, current measures of burnout have demonstrated limitations, prompting the development of the Burnout Assessment Tool (BAT). Given these circumstances, conducting an in-depth examination of the BAT's construct-relevant multidimensionality is crucial. METHOD: This study focuses on both the original 23-item BAT and the short 12-item version, using modern factor analytic methods to investigate reliability, validity, and measurement invariance in a representative sample from Norway (n = 493; 49.54% women). RESULTS: Our findings revealed that the bifactor exploratory structural equation modeling solution (burnout global factor and four specific burnout component factors) best explained the data for both BAT versions. All factors demonstrated adequate omega coefficients, with the global factor showing exceptional strength. Both BAT versions correlated highly with each other and with another burnout measure, suggesting convergent validity. Furthermore, both BAT versions achieved full (strict) measurement invariance based on gender. Finally, our results showed that burnout acts as a mediator in our proposed job demands-resources model as preliminary evidence of predictive validity. CONCLUSIONS: The study validates the Burnout Assessment Tool in the Norwegian context. The study supports the reliability, validity, and unbiased nature of the tool across genders. The findings also reinforce the importance of job demands and resources, along with burnout as a key mediator, in understanding workplace dynamics in accordance with job demands-resources theory.

The effect of nurse-patient interaction on anxiety and depression in cognitively intact nursing home patients.

AIMS AND OBJECTIVES: To test the effects of nurse-patient interaction on anxiety and depression among cognitively intact nursing home patients. BACKGROUND: Depression is considered the most frequent mental disorder among the older population. Specifically, the depression rate among nursing home patients is three to four times higher than among community-dwelling older people, and a large overlap of anxiety is found. Therefore, identifying nursing strategies to prevent and decrease anxiety and depression is of great importance for nursing home patients' well-being. Nurse-patient interaction is described as a fundamental resource for meaning in life, dignity and thriving among nursing home patients. DESIGN: The study employed a cross-sectional design. The data were collected in 2008 and 2009 in 44 different nursing homes from 250 nursing home patients who met the inclusion criteria. METHODS: A sample of 202 cognitively intact nursing home patients responded to the Nurse-Patient Interaction Scale and the Hospital Anxiety and Depression Scale. A structural equation model of the hypothesised relationships was tested by means of Lisrel 8.8 (Scientific Software International Inc., Lincolnwood, IL, USA). RESULTS: The SEM model tested demonstrated significant direct relationships and total effects of nurse-patient interaction on depression and a mediated influence on anxiety. CONCLUSION: Nurse-patient interaction influences depression, as well as anxiety, mediated by depression. Hence, nurse-patient interaction might be an important resource in relation to patients' mental health. RELEVANCE TO CLINICAL PRACTICE: Nurse-patient interaction is an essential factor of quality of care, perceived by long-term nursing home patients. Facilitating nurses' communicating and interactive skills and competence might prevent and decrease depression and anxiety among cognitively intact nursing home patients.