The MethodologicAl STandards for Epidemiological Research (MASTER) scale demonstrated a unified framework for bias assessment
Author | Stone, J.C. |
Author | Glass, K. |
Author | Clark, J. |
Author | Ritskes-Hoitinga, M. |
Author | Munn, Z. |
Author | Tugwell, P. |
Author | Doi, S.A.R. |
Available date | 2022-04-18T08:10:54Z |
Publication Date | 2021 |
Publication Name | Journal of Clinical Epidemiology |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1016/j.jclinepi.2021.01.012 |
Abstract | Objective: This paper presents a unified framework for assessment of the methodological quality of analytic study designs. Study Design and Setting: A systematic review of 393 methodological quality assessment tools that updated a previous assessment with 100 tools. Tool items were extracted, examined and reworded. Bias domains and finally methodological standards to be fulfilled were defined. Results: There were 36 unique methodological safeguards that were categorized into seven methodological standards to be fulfilled in the MASTER scale. These methodological standards reflect initial and ongoing equivalence in particular areas, including equal recruitment, equal retention, equal ascertainment, equal implementation, equal prognosis, sufficient analysis, and temporal precedence. Conclusion: This approach unifies existing methods for methodological quality assessment and will be useful for (1) clinical researchers when a bias assessment of clinical research studies is required across analytical designs, (2) promoting a unified framework for bias assessment. |
Sponsor | Funding: J.S. was supported by The Australian National University Higher Degree by Research scholarship. SD was supported by Program Grant #NPRP10-0129-170274 from the Qatar National Research Fund (a member of Qatar Foundation). |
Language | en |
Publisher | Elsevier Inc. |
Subject | article clinical research human prognosis quality assessment tool systematic review epidemiology methodology research statistical bias Bias Epidemiologic Research Design Humans Research Design Research Report |
Type | Article |
Pagination | 52-64 |
Volume Number | 134 |
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