However, observational data and retrospective analyses also have the advantage of reflecting “real world” treatment patterns and broader patient groups that increase the generalizability of the data, whereas clinical trials may include protocol-driven utilization and selected patient groups. Clinical trials also may occur in specialized health care settings, whereas observational (cohort) data may be more applicable to clinical practice. Due to these factors, meta-analysis of observational data has become common.29
The pre-initiation vs post-initiation analysis indicated that values for each treatment group provide information on the similarities between treatment groups before initiation of controller therapy. Even though the treatment groups were not randomized to each therapy and we have no means to ensure compatibility between groups, having similar rates of resource use between groups provides some evidence regarding similarity. Nonetheless, given the limitations of the retrospective data and meta-analysis in general, it will be important to validate the results of this meta-analysis in the future with naturalistic prospective studies.
Despite these limitations, this study provides important information on the impact of asthma therapies on resource use and costs. Specifically, the resource use and cost outcomes assessed in this study were lower for inhaled corticosteroid patients than for leukotriene modifier patients. This study also illustrates the usefulness of metaanalysis in evaluating resource use and costs. By selecting and combining outcomes across studies in a standardized, rigorous, and transparent manner, the effects of different therapies can be evaluated with greater precision.
Acknowledgments
We thank John O’Donnell and Layne Gothard for their assistance with this manuscript.
Corresponding author Michael T. Halpern, MD, PhD, Principal Scientist, Exponent, Inc., 1800 Diagonal Road, Alexandria, VA 22314. E-mail: mhalpern@exponent.com