Table 2.
Selection, performance, detection and attrition bias
Type of bias | Cause | Studies vulnerable | Measures taken to identify or prevent bias |
---|---|---|---|
Selection bias | Differences in intervention groups on study entry | Studies without randomisation (39 studies) | Four of 35 interrupted time series studies where isolation or screening changed presented data allowing comparisons of patient characteristics between phases26,34,40,57
|
Two described unquantified changes in case mix.43,46 One study presented partial adjustment for confounders30 | |||
Performance bias | Differences in care for patients between treatment groups, apart from interventions under investigation
|
Studies where specified aspect of care was not under investigation:
|
|
Differences in antibiotic prescribing
|
31 interrupted time series studies
|
Four presented details of antibiotic use.18,22,36,63 Two alluded to unquantified changes46,54
|
|
Differences in lengths of stay
|
29 interrupted time series studies
|
Changes in length of stay could be assessed in four33,36,47,61
|
|
Differences in bed occupancy and staff workload | 31 interrupted time series studies | Comparisons of bed occupancy between phases possible in four18,24,47,58 Changes in staffing levels or workloads could be assessed in five18,24,26,32,47 | |
Detection bias | Differential outcome assessment between intervention groups:
|
All studies:
|
Three reported some blinding of outcome assessors34,47,57
|
Differences in diagnosis of infections
|
26 studies
|
16 specified diagnostic criteria. 14 reported MRSA bacteraemias
|
|
Differences in screening practices | 10 studies with colonisation data only | In all cases screening effort either reported not to have changed or to have changed in opposite direction from outcomes, suggesting screening effort could not explain the changes | |
Attrition bias | Differential loss to follow up between treatment groups.
|
Studies where outcomes are infections (26 studies) and with substantial changes in length of stay | None: no studies followed up patients after discharge to detect hospital acquired infections |
Since hospital acquired infections may first become apparent after discharge, changes to length of stay could lead to attrition bias |