Health Economic Evaluation Alongside Stepped Wedge Trials: A Methodological Systematic Review
- PDF / 1,698,793 Bytes
- 18 Pages / 595.276 x 790.866 pts Page_size
- 68 Downloads / 177 Views
SYSTEMATIC REVIEW
Health Economic Evaluation Alongside Stepped Wedge Trials: A Methodological Systematic Review Thomas Lung1,2 · Lei Si1,4 · Richard Hooper3 · Gian Luca Di Tanna1 Accepted: 16 September 2020 © Springer Nature Switzerland AG 2020
Abstract Background Recently, there has been an increase in use of the stepped wedge trial (SWT) design in the context of health services research, due to its pragmatic and methodological advantages over the parallel group design. Objective Our objective was to summarise the statistical methods used when conducting economic evaluations alongside SWTs. Methods A systematic literature search extending to February 2020 was conducted in the PubMed, Scopus, Cochrane and National Health Service Economic Evaluation Database (NHS-EED) databases to find and evaluate studies where there was an intention to conduct an economic evaluation alongside an SWT. Studies were assessed for their eligibility, findings, reporting of statistical methods and quality of reporting. Results Of the 586 studies retrieved from the literature search, 69 studies were identified and included in this systematic review. A total of 54 studies were published protocols, with eight economic evaluations and seven studies reporting full trial results. Included studies varied in terms of their reporting of statistical methods, in both detail and methodology. There were 34 studies that did not report any statistical methods for the economic evaluation, and only 16 studies reported appropriate methods, mainly using some form of mixed/multilevel model, and two used seemingly unrelated regression. Twelve studies reported the use of generic bootstrap methods and other modelling techniques, whilst the remaining studies failed to appropriately account for clustering, correlation or adjustment for time. Conclusions The use of appropriate statistical methods that account for time, clustering and correlation between costs and outcomes is an important part of SWT health economics analysis, one that will benefit from an effort to communicate the methods available and their performance.
1 Background Electronic supplementary material The online version of this article (https://doi.org/10.1007/s40273-020-00963-x) contains supplementary material, which is available to authorized users. * Gian Luca Di Tanna [email protected] 1
The George Institute for Global Health, University of New South Wales, Sydney, NSW 2042, Australia
2
Faculty of Medicine and Health, School of Public Health, Edward Ford Building A27, University of Sydney, Sydney, NSW 2006, Australia
3
Institute of Population Health Sciences, Queen Mary University of London, London, UK
4
School of Health Policy & Management, Nanjing Medical University, Nanjing, China
The randomised stepped wedge trial (SWT) design is an alternative to a parallel cluster randomised trial design and has increased in popularity in recent years. In brief, an SWT design is a multi-arm, cluster randomised, cross-over design where the only cross-over
Data Loading...
