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. 2012 Dec 27:10:156.
doi: 10.1186/1477-7525-10-156.

Evaluating the responsiveness of the Warwick Edinburgh Mental Well-Being Scale (WEMWBS): group and individual level analysis

Hendramoorthy Maheswaran  1 , Scott Weich, John Powell, Sarah Stewart-Brown
Affiliations

Evaluating the responsiveness of the Warwick Edinburgh Mental Well-Being Scale (WEMWBS): group and individual level analysis

Hendramoorthy Maheswaran et al. Health Qual Life Outcomes. .

Abstract

Background: Mental well-being now features prominently in UK and international health policy. However, progress has been hampered by lack of valid measures that are responsive to change. The objective of this study was to evaluate the responsiveness of the Warwick Edinburgh Mental Well-being Scale (WEMWBS) at both the individual and group level.

Methods: Secondary analysis of twelve different interventional studies undertaken in different populations using WEMWBS as an outcome measure. Standardised response mean (SRM), probability of change statistic (P(^)) and standard error of measurement (SEM) were used to evaluate whether WEMWBS detected statistically important changes at the group and individual level, respectively.

Results: Mean change in WEMWBS score ranged from -0.6 to 10.6. SRM ranged from -0.10 (95% CI: -0.35, 0.15) to 1.35 (95% CI: 1.06, 1.64). In 9/12 studies the lower limit of the 95% CI for P(^) was greater than 0.5, denoting responsiveness. SEM ranged from 2.4 to 3.1 units, and at the threshold 2.77 SEM, WEMWBS detected important improvement in at least 12.8% to 45.7% of participants (lower limit of 95% CI>5.0%).

Conclusions: WEMWBS is responsive to changes occurring in a wide range of mental health interventions undertaken in different populations. It offers a secure base for research and development in this rapidly evolving field. Further research using external criteria of change is warranted.

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Figures

Figure 1
Figure 1
Forest Plot with Standardised response mean (SRM) for included studies.
Figure 2
Figure 2
Forest Plot with Probability of detecting change for included studies.
See this image and copyright information in PMC

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