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. 2022 Jul 28;15:32. doi: 10.1186/s12245-022-00435-3

Table 2.

Risk of bias assessment using BMJ quality assessment for prevalence studies

Item 1 Item 2 Item 3 Item 4 Item 5 Item 6 Item 7 Item 8 Item 9 Item 10
Tadros et al. 2016 [15] USA 0 0 0 0 0 0 0 0 0 0
Oates et al. 2009 [16] USA 0 0 0 0 0 0 0 0 0 0
Holtyn et al. 2017 [17] USA 1 1 0 1 0 0 0 0 0 3
Brown et al. 2010 [18] UK 1 0 0 0 0 0 0 0 0 1
Cheung et al. 2015 [19] Canada 1 0 0 0 0 0 0 0 1 2
Brown et al. 2013 [20] USA 0 0 0 0 0 0 0 0 0 0
Raven et al. 2017 [21] USA 1 1 0 1 0 0 0 0 1 4
Ku et al. 2010 [22] USA 0 0 0 0 0 1 0 0 1 2
Feldman et al. 2017 [23] USA 1 0 1 0 0 0 0 0 0 2
Jackson et al. 2019 [24] USA 1 0 0 1 0 0 1 0 1 4
Lee et al. 2019 [25] Australia 1 0 1 1 0 0 1 1 0 5
Tsai et al. 2013 (a) [26] USA 0 0 0 0 0 0 1 0 0 1
Rodriguez et al. 2009 [27] USA 1 0 1 1 0 0 0 0 0 3
Lin et al. 2015 [28] USA 1 0 0 0 0 0 1 0 0 2
Mackelprang et al. 2014 [29] USA 1 0 0 1 0 0 1 0 1 4
Doran et al. 2016 [30] USA 1 0 0 1 0 0 0 0 0 2
Moore et al. 2011 [31] Australia 0 0 0 0 0 0 0 0 0 0
Hammig et al. 2014 [32] USA 0 0 0 0 0 0 0 0 0 0
Mackelprang et al. 2015 [33] USA 1 0 0 0 0 0 1 0 0 2
Feldman et al. 2018 [34] USA 1 0 1 0 0 0 0 0 0 2
Tsai et al. 2013 (b) [35] USA 0 0 0 0 0 0 1 0 0 1
Moulin et al. 2018 [36] USA 0 0 0 0 0 0 0 0 0 0
Cheallaigh et al. 2017 [37] Ireland 0 0 0 1 0 0 0 0 0 1
Yeniocak et al. 2017 [38] Turkey 1 0 0 0 0 0 1 0 0 2
Lloyd et al. 2017 [39] Australia 1 0 0 0 0 1 1 0 1 4
Lombardi et al. 2019 [40] USA 0 0 0 0 0 0 0 0 1 1
Hastings et al. 2013 [41] USA 0 0 0 0 0 0 0 0 0 0
Lam et al. 2016 [42] USA 1 0 0 0 0 0 0 0 0 1
Stenius-Ayoade. 2017 [43] Finland 1 0 0 0 0 0 0 1 2
Post et al. 2013 [44] USA 1 0 1 0 0 0 1 0 0 3
Moore et al. 2012 [45] Australia 1 0 0 0 0 0 0 0 0 1
Doran et al. 2018 [46] USA 1 0 0 1 0 0 0 0 0 2
Doran et al. 2013 [47] USA 0 0 0 0 0 0 0 0 0 0
Ku et al. 2014 [48] USA 1 0 1 0 0 0 1 0 0 3
Coe et al. 2015 [49] USA 0 0 1 0 0 0 1 0 0 2
Amato et al. 2018 [50] USA 1 0 0 0 0 0 1 0 0 2

Item 1: Was the study’s target population a close representation of the national population in relation to relevant variables, e.g. age, sex, occupation? Item 2: Was the sampling frame a true or close representation of the target population? Item 3: Was some form of random selection used to select the sample, or was a census undertaken? Item 4: Was the likelihood of non-response bias minimal? Item 5: Were data collected directly from the subjects (as opposed to a proxy)? Item 6: Was an acceptable case definition used in the study? Item 7: Was the study instrument that measured the parameter of interest (e.g. prevalence of low back pain) shown to have reliability and validity (if necessary)? Item 8: Was the same mode of data collection used for all subjects? Item 9: Were the numerator(s) and denominator(s) for the parameter of interest appropriate Item 10: Summary on the overall risk of study bias