| Literature DB >> 28365303 |
Till Bärnighausen1, Peter Tugwell2, John-Arne Røttingen3, Ian Shemilt4, Peter Rockers5, Pascal Geldsetzer6, John Lavis7, Jeremy Grimshaw8, Karen Daniels9, Annette Brown10, Jacob Bor11, Jeffery Tanner12, Arash Rashidian13, Mauricio Barreto14, Sebastian Vollmer15, Rifat Atun6.
Abstract
Quasi-experimental studies are increasingly used to establish causal relationships in epidemiology and health systems research. Quasi-experimental studies offer important opportunities to increase and improve evidence on causal effects: (1) they can generate causal evidence when randomized controlled trials are impossible; (2) they typically generate causal evidence with a high degree of external validity; (3) they avoid the threats to internal validity that arise when participants in nonblinded experiments change their behavior in response to the experimental assignment to either intervention or control arm (such as compensatory rivalry or resentful demoralization); (4) they are often well suited to generate causal evidence on long-term health outcomes of an intervention, as well as nonhealth outcomes such as economic and social consequences; and (5) they can often generate evidence faster and at lower cost than experiments and other intervention studies.Entities:
Mesh:
Year: 2017 PMID: 28365303 DOI: 10.1016/j.jclinepi.2017.03.012
Source DB: PubMed Journal: J Clin Epidemiol ISSN: 0895-4356 Impact factor: 7.407