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. 2020 Mar 20;21(1):286.
doi: 10.1186/s13063-020-4178-6.

When assessing generalisability, focusing on differences in population or setting alone is insufficient

Affiliations

When assessing generalisability, focusing on differences in population or setting alone is insufficient

Helen E D Burchett et al. Trials. .

Abstract

Generalisability is typically only briefly mentioned in discussion sections of evaluation articles, which are unhelpful in judging whether an intervention could be implemented elsewhere, with similar effects. Several tools to assess generalisability exist, but they are difficult to operationalise and are rarely used. We believe a different approach is needed. Instead of focusing on similarities (or more likely, differences) in generic population and setting characteristics, generalisability assessments should focus on understanding an intervention's mechanism of action - why or how an intervention was effective. We believe changes are needed to four types of research. First, outcome evaluations should draw on programme theory. Second, process evaluations should aim to understand interventions' mechanism of action, rather than simply 'what happened'. Third, small scoping studies should be conducted in new settings, to explore how to enact identified mechanisms. Finally, innovative synthesis methods are required, in order to identify mechanisms of action where there is a lack of existing process evaluations.

Keywords: Applicability; Generalisability; Methodology; Research use.

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Conflict of interest statement

The authors declare that they have no competing interests.

References

    1. Walach H, Falkenberg T, Fonnebo V, Lewith G, Jonas WB. Circular instead of hierarchical: methodological principles for the evaluation of complex interventions. BMC Med Res Methodol. 2006;6:29. doi: 10.1186/1471-2288-6-29. - DOI - PMC - PubMed
    1. Shadish WR, Cook TD, Campbell DT. Experimental and quasi-experimental designs for generalized causal inference. Houghton: Mifflin and Company; 2002.
    1. Burchett HED, Blanchard L, Kneale D, Thomas J. Assessing the applicability of public health intervention evaluations from one setting to another: a methodological study of the usability and usefulness of assessment tools and frameworks. Health Res Policy Syst. 2018;16(1):88. doi: 10.1186/s12961-018-0364-3. - DOI - PMC - PubMed
    1. Burchett H, Umoquit M, Dobrow M. How do we know when research from one setting can be useful in another? A review of external validity, applicability and transferability frameworks. J Health Serv Res Pol. 2011;16(4):238–244. doi: 10.1258/jhsrp.2011.010124. - DOI - PubMed
    1. Kukull WA, Ganguli M. Generalizability: the trees, the forest, and the low-hanging fruit. Neurology. 2012;78:1886–1891. doi: 10.1212/WNL.0b013e318258f812. - DOI - PMC - PubMed

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