Skip to main content
. 2020 Jan 15;8(1):e12516. doi: 10.2196/12516

Table 2.

Risk of bias in the published studies included.

Study Risk of bias
Bush et al, 2017 [50]
  • Small sample size (attrition bias)

  • Authors did not report how the knowledge of allocated condition was blinded to participants and researchers during the study (performance and detection bias)

Tighe et al, 2017 [46]
  • Owing to the changes in inclusion criteria after the commencement of the trial, one-fourth (26.2%) of the included participants did not meet the criterion for frequency of suicidal thoughts (attrition bias)

  • Participants, clinical personnel, and outcome assessors were not blind to treatment allocation

  • Data on usage were available for 65.6% of the included participants. Of these, 15% did not complete treatment

  • Small sample size

  • Sensitivity of measures was poor because of number of items (performance bias)

Franklin et al, 2016 [48]
  • Neither participants nor clinical personnel were blind to treatment allocation (performance bias)

  • Participants were recruited online; therefore, motivation and ability to engage were potentially higher than recruitment through the community (selection bias)

  • Participants paid to complete study

  • Amount of app usage not specified—up to the user, level of engagement was not controlled for

Stallard et al, 2018 [47]
  • Participants were identified by their Child and Adolescent Mental Health Services clinician. Participants themselves decided whether or not to take part (selection bias)

  • No control group present

  • No blinding reported. All participants in the study received an intervention as there was no control condition (performance and detection bias)