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. 2021 Apr 7;71(706):e399–e405. doi: 10.3399/BJGP.2020.0817

Table 1.

Risk of bias assessment, based on Higgins et al 13

Author, year Random sequence generation Allocation concealment Blinding of participants and personnel Blinding of outcome assessment Incomplete outcome data Selective reporting Other bias
Ackermann, 200516 + + + + + + +
Burton, 199515 ? ? ? ? ? ?
Christian, 200832 + + + ? + + ?
Dubbert, 200229 ? ? ? + ? + ?
Galaviz, 201317 ? ? ? + + +
Galaviz, 201718 ? ? ? ? +
Goldstein, 199933 ? ? ? ? +
Grandes, 200919 + + + + ?
Harris, 201536 + + + +
Harris, 2017a38 ? ? ? + + +
Harris, 2017b34 + + + + +
Jansink, 201320 ? ? ? + ?
Jolly, 201830 ? + + +
Kerse, 199939 ? + + + +
Koelewijn-van Loon, 201021 ? ? + + + ?
Lakerveld, 201322 + + + + ?
Leonhardt, 200823 ? ? ? + + +
Little, 200435 ? ? ? + + + ?
Marshall, 200536 ? ? + + +
McCallum, 200724 + + + + +
Mehring, 201331 + + + +
Sims, 199925 ? ? ? ? ? + ?
Valve, 201326 + ? ? + + ?
Van der Weegen, 201527 ? + + + + +
Westland, 202028 + + + +

+ = low risk of bias.= high risk of bias. ? = unclear risk of bias. Allocation concealment, as well as blinding of participants and clinicians delivering the intervention, was not possible in most study designs. All studies reporting follow-up data had reported data loss. If data loss was <15% and loss is even across groups or the loss was accounted for conservatively in data analysis (for example, intention to treat with replacing missing follow-up data with baseline values), the data loss was rated as low risk of bias. If adherence to the intervention was either not reported or <80% it was rated as high risk of bias in ‘other bias’.