Efficacy of a brief oMBI

Published: 31-03-2021| Version 1 | DOI: 10.17632/cswcg6h4fr.1
Contributor:
Nazia Osman

Description

Pre-post design quantitative research on HCPs and those in training who participated in the 4-week oMBI displayed positive effects on self-report measures such as MAAS which is usually indicative of being more present and not being in the state of ‘auto pilot’. The mean increased from 3,5 to 3,9 with a p-value of,0.001 as seen in Table 2 above. There was a significant decrease in the PSS and subsequent negative emotions related to this post oMBI. Both pre and post means of the PSS fell in the moderate range, but the change in scores was significant, dropping from a mean of 21,1 to 15,26 with a p-value of < 0.001. The abbreviated Maslach Burnout Inventory, as mentioned, has three subscales to measure burnout, EE, D and PA. A decrease in EE and D would indicate reduced burnout, as is seen in the results. EE reduced from a mean of 10,3 to 8, 89, which was a significant finding with a p-value of 0.04. The means of D and PA could not be calculated due to the skewed distributions and outliers' presence; thus, the interquartile range (IQR) and median were used instead. D reduced from a median of 2 to 1 post oMBI, however these findings were not significant. The PA scores did increase significantly from a median of 15 to 16 with a p value of < 0.002, alluding to increased competence and ability to make a meaningful difference through their work.

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Research data obtained from the assessment tools (MAAS, PSS and abbreviated Maslach Burnout Inventory) were primarily analysed within a quantitative framework using univariate and multivariate analyses. Data were entered from Microsoft Excel into Stata 15.1. A p-value < 0.05 was considered statistically significant with a 95% confidence interval. Descriptive statistical analysis of the data (means, standard deviations, ranges, frequencies, and scores) was initially conducted before conducting inferential statistics. The paired-samples t-test was used to assess the impact of the oMBI. Pearson’s chi-squared test and Fisher’s exact test of association were used.