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Quasi-experimental study designs series-paper 5: a checklist for classifying
studies evaluating the effects on health interventions-a taxonomy without labels
#MMPMID28351692
Reeves BC
; Wells GA
; Waddington H
J Clin Epidemiol
2017[Sep]; 89
(?): 30-42
PMID28351692
show ga
OBJECTIVES: The aim of the study was to extend a previously published checklist
of study design features to include study designs often used by health systems
researchers and economists. Our intention is to help review authors in any field
to set eligibility criteria for studies to include in a systematic review that
relate directly to the intrinsic strength of the studies in inferring causality.
We also seek to clarify key equivalences and differences in terminology used by
different research communities. STUDY DESIGN AND SETTING: Expert consensus
meeting. RESULTS: The checklist comprises seven questions, each with a list of
response items, addressing: clustering of an intervention as an aspect of
allocation or due to the intrinsic nature of the delivery of the intervention;
for whom, and when, outcome data are available; how the intervention effect was
estimated; the principle underlying control for confounding; how groups were
formed; the features of a study carried out after it was designed; and the
variables measured before intervention. CONCLUSION: The checklist clarifies the
basis of credible quasi-experimental studies, reconciling different terminology
used in different fields of investigation and facilitating communications across
research communities. By applying the checklist, review authors' attention is
also directed to the assumptions underpinning the methods for inferring
causality.
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