Table 2. Risk of bias summary table.
Trial | Selection bias | Allocation concealment | Performance bias | Detection bias | Attrition bias | Selective reporting | Other bias | Quality |
---|---|---|---|---|---|---|---|---|
Bell et al.20 | Yes—there were ethnic differences between suburban and rural practices; however, clustering would have helped to control for this | No allocation concealment | Yes—there was no blinding for users | Unclear—no mention of blinding of outcome assessors | Unclear as to how many of the patients enroled at each practice remained in the trial—pragmatic design, denominator quite flexible, withdrawals not reported. | Unclear—no pre-published protocol. | No | C—high risk |
Eccles et al.21 | No—minimised by computerised randomisation of practices in a cluster design | No allocation concealment | No—GPs were acting as controls for the other block | No—data collectors were blinded to the status of practice | No—attrition rates were presented and balanced; there were 31 intervention practices and 29 control practices who completed the study and two withdrawals. | No—a pre-published protocol-outlined plan for data analysis and embedded case study and economic evaluation. | No | A—low risk |
Fiks et al.22 | Unclear—no details of randomisation | No allocation concealment | Yes—no blinding, clinicians were aware that their software either did or did not have the alerts | Unclear—no mention of blinding of outcome assessors | No—attrition fairly balanced—no patients withdrew; however, there was fluctuation in the numbers of patients, as may be expected in such a large cohort. | Unclear—possibility of post hoc analysis of vaccination rates to achieve higher rates—no pre-published analysis protocol. | No | C—high risk |
Kuilboer et al.23 | No—randomisation performed with a table of random numbers by a researcher who was blinded to the identity of practices | No allocation concealment | Yes—there was no blinding for GP users | Unclear—no mention of blinding of outcome assessors | No—flow diagram explains why patients dropped out or withdrew. No attrition at practice level. | Unclear—no pre-published protocol. | No | C—high risk |
Martens et al.24,28 | Unclear—no details of randomisation | Yes—GPs blinded as to whether they were assessed on treatment of cholesterol or asthma and COPD | No—GPs did not know that they were acting as controls for the other block | Unclear—no mention of blinding of outcome assessors | No—attrition was fairly balanced but resulted in the study being underpowered. Reasons for attrition were given. | Unclear—no pre-published protocol. | No | B—moderate risk |
McCowan et al.25 | No—randomisation using random number sequence and performed independently of the project administration team | No allocation concealment | Yes—there was no blinding of GPs | Unclear—no mention of blinding of outcome assessors | No—attrition was unbalanced and although most practices gave some reasons this resulted in the study being underpowered and intention-to-treat analysis was impossible due to insufficient information. | Unclear—no pre-published protocol. | No | C—high risk |
Plaza et al.26 | No—randomisation using SAS (statistics programme). Patients were recruited as they came for consultation | No allocation concealment | Unclear, not reported | Unclear—no mention of blinding of outcome assessors | No—clinician withdrawals reported (2/22) due to administrative problems, patient withdrawals also reported in diagram. | Unclear—no pre-published protocol. | No | C—high risk |
Tierney et al.27 | No—randomisation by flip coin, then switching to equal numbers of consultations per arm by a researcher blinded to allocation. | No allocation concealment for professionals or patients | Yes—there was no blinding of GPs | Unclear—no mention of blinding of outcome assessors | No—flow diagram explains why patients dropped out or withdrew. Attrition appeared to be fairly balanced. | Yes—no pre-published protocol and post hoc analysis of power calculation. | No | C—high risk |
Abbreviations: COPD, chronic obstructive pulmonary disease; GP, general practitioner.