A topographical map approach to representing treatment efficacy: a focus on positive psychology interventions

A recent meta-analysis by Bolier et al. indicated that positive psychology interventions have overall small to moderate effects on well-being, but results were quite heterogeneous across intervention trials. Such meta-analytic research helps condense information on the efficacy of a broad psychosocial intervention by averaging across many effects; however, such global averages may provide limited navigational guidance for selecting among specific interventions. Here, we introduce a novel method for displaying qualitative and quantitative information on the efficacy of interventions using a topographical map approach. As an initial prototype for demonstrating this method, we mapped 50 positive psychology interventions targeting well-being (as captured in the Bolier et al. [2013] meta-analysis, [Bolier, L., Haverman, M., Westerhof, G. J., Riper, H., Smit, F., & Bohlmeijer, E. (2013). Positive psychology interventions: A meta-analysis of randomized controlled studies. BMC Public Health, 13, 83]). Each intervention domain/subdomain was mapped according to its average effect size (indexed by vertical elevation), number of studies providing effect sizes (indexed by horizontal area), and therapist/client burden (indexed by shading). The geographical placement of intervention domains/subdomains was determined by their conceptual proximity, allowing viewers to gauge the general conceptual "direction" in which promising intervention effects can be found. The resulting graphical displays revealed several prominent features of the well-being intervention "landscape," such as more strongly and uniformly positive effects of future-focused interventions (including, goal-pursuit and optimism training) compared to past/present-focused ones.