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. 2023 Jan 9;2023(1):CD014908. doi: 10.1002/14651858.CD014908.pub2

2. Risk of bias assessments using ROBINS‐I tool.

Study D1a D2b D3c D4d D5e D6f D7g Overall
Seeland 2020 Serious 
Use propensity score matching but unclear what variables they are matching on; may not have accounted for all confounders as listed in our protocol Moderate
Selection based on COVID‐19 positivity in electronic health record, any factors affecting positivity are likely to be similar between groups
Moderate
Used clear Rx Norm codes to define combined contraceptives, but no ascertainment of actual patient use of contraception during the timeframe of the outcome Critical
Actual use of contraception is not ascertained No information Low
Outcome = mortality derived from electronic health record, likely to be accurately reported Low Serious
Use propensity score matching but we are not certain what the actual variables were included in this; also not sure whether patients are using contraception during time of outcome
Mujumdar 2020 Serious
Concern for possible residual confounding especially as there is no information on what was adjusted for and whether this was a valid adjustment Moderate
Selection based on COVID‐19 positivity in electronic health record of 1 tertiary care facility, any factors affecting positivity are likely to be similar between groups Moderate 
Contraceptive prescription derived from medical record data, but no ascertainment of actual patient use of contraception during the timeframe of the outcome Critical
Actual use of contraception was not ascertained Serious
Outcome data missing for ~7% of the total sample and those individuals were excluded from analysis Low
Outcome = hospitalization derived from electronic health record, likely to be accurately reported Low Critical 
Unknown confounders adjusted for
unknown if patients using contraception during timeframe of outcome
Costeira 2021 Serious
Adjusted for age, BMI, and smoking status. No information on personal history of DVT. However, variables were self‐reported and uncertain if they were measured validly. Variables such as smoking status likely subject to social desirability bias in self‐reporting Serious 
Participants self‐selected to use application; possible that people who are using contraception are more likely/interested in using app as they are more health savvy Moderate
Use and contraceptive type based on user self‐report Moderate
Reported by patients they were taking the intervention Serious
Participants with missing smoking status were excluded from analyses Moderate
Outcome = hospitalization, but self‐reported so subject to incorrect reporting (e.g. individual reports an emergency room visit as hospitalization) Low Serious
Has better classification of intervention and likely adherence to intervention, but all self‐report data and subject to bias

aD1: bias due to confounding.
bD2: bias in selection of participants into the study.
cD3: bias in classification of interventions.
dD4: bias due to deviations from intended interventions.
eD5: bias due to missing data.
fD6: bias in measurement of outcomes.
gD7: bias in selection of the reported result.
BMI: body mass index; DVT: deep vein thrombosis.