The MethodologicAl STandards for Epidemiological Research (MASTER) scale demonstrated a unified framework for bias assessment

被引:28
|
作者
Stone, Jennifer C. [1 ,2 ]
Glass, Kathryn [3 ]
Clark, Justin [4 ]
Ritskes-Hoitinga, Merel [2 ,5 ]
Munn, Zachary [6 ]
Tugwell, Peter [7 ]
Doi, Suhail A. R. [8 ]
机构
[1] Australian Natl Univ, Res Sch Populat Hlth, Dept Hlth Serv Res & Policy, 62 Mills Rd, Acton, ACT 2601, Australia
[2] Radboud Univ Nijmegen, Med Ctr, SYRCLE, Dept Hlth Evidence, Nijmegen, Netherlands
[3] Australian Natl Univ, Res Sch Populat Hlth, Natl Ctr Epidemiol & Populat Hlth, Canberra, ACT, Australia
[4] Bond Univ, Ctr Res Evidence Based Practice, Southport, Qld, Australia
[5] Aarhus Univ, Dept Clin Med, Aarhus, Denmark
[6] Univ Adelaide, Fac Hlth & Med Sci, JBI, Adelaide, SA, Australia
[7] Univ Ottawa, Dept Med, Ottawa, ON, Canada
[8] Qatar Univ, QU Hlth, Coll Med, Dept Populat Med, POB 2713,Qatar Univ Dr, Doha, Qatar
关键词
Risk of bias; Quality; Methodology; Systematic review; RANDOMIZED CONTROLLED-TRIALS; ROBINS-I; EXPOSURES; QUALITY; RISK; INSTRUMENT; TOOL;
D O I
10.1016/j.jclinepi.2021.01.012
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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. (c) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码:52 / 64
页数:13
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