The quality of primary research often depends on the extent to which the methodology deals with bias and confounding factors:
"Bias is the degree to which the result is skewed away from the truth" . Bias can occur in many ways, including: how subjects are selected; how they are allocated to groups; and how results are measured. The best way to prevent bias is to keep details of interventions hidden from participants and also researchers (Glasziou, Salisbury, & Del Mar, 2007, p. 75). This is called blinding.
"Confounding factors are patient features and other possible causal factors, apart from the one that is being measured, that can affect the outcome of the study." These can be eliminated or reduced by ensuring that groups are matched as closely as possible at the start of the study, and managed in the same way in the course of the study (Glasziou et al., 2007, p. 76).
RAMMbo
One way to quickly appraise a study's trustworthiness is to use the RAMMbo mnemonic:
R |
Recruitment |
Were the subjects in the study representative of the target population? Were there enough subjects to make the study valid? |
A |
Allocation |
Were the subjects randomly (and "blindly") allocated to groups? |
M |
Maintenance |
Was the status of the study group and the control group maintained throughout the trial? Were they treated the same way apart from the intervention? |
Mbo |
Measurement (blinding; objective measures) |
Were the subjects (and researchers) blinded to the intervention and were the outcomes measured objectively? Was bias eliminated as much as possible? |
Source: Glasziou, P., Del Mar, C., & Salisbury, J. (2007). Evidence-based practice workbook: Bridging the gap between health care research and practice (2nd ed.).