Performance Bias
Reviewed bySatya R Panigrahi
Definition
Performance bias refers to systematic differences in the care provided to participants in a study, apart from the intervention being evaluated, that arise because participants, clinicians, or other providers know which treatment group a participant belongs to.[3] It is a form of bias that occurs during the conduct of a trial when knowledge of group assignment influences behavior.
Explore the concept
Knowing the arm changes the care
Choose who is blinded and add safeguards to see which pathways of performance bias close, then read a knee trial’s monitoring log and how risk of bias tools file the problem.
Who is blinded
Other safeguards
Guarding against performance bias
0 of 4 covered- Patient pathway: openMotivation, adherence and treatment outside the trial can differ by arm.
- Clinician pathway: openAttention, monitoring and extra treatments can differ by arm.
- Co interventions kept similar: openNothing stops extra care going to one group.
- Extent can be checked: openNo record to assess afterward.
Neither pathway controlled
The big idea: Performance bias is a difference in care, beyond the intervention, that comes from knowing who got which treatment; blinding participants and clinicians is the main safeguard, while randomization and blinded assessors guard against other biases and leave this one open.
Pathways and safeguards follow the article: double blind closes the patient and clinician pathways while blinding holds, single blind (typically the patient) closes only the patient pathway, open label neither; standardized care and documented co interventions mitigate; blinded assessors address detection bias. The knee trial figures (8 more minutes per session, higher satisfaction) are the article’s example. Domain names are from the original Cochrane Risk of Bias tool (Higgins 2011) and RoB 2 (Sterne 2019).
Why it matters
Performance bias threatens the internal validity of clinical trials by introducing confounding factors that are not part of the intended intervention. When clinicians know which patients are receiving the experimental treatment, they may unconsciously provide more attentive care, additional monitoring, or supplementary treatments to those patients, inflating the apparent effectiveness of the intervention. Conversely, they may provide more supportive care to patients in the control group (compensatory equalization) out of concern that those patients are receiving a less effective treatment.[2] Patients who know their group assignment may change their behavior or seek additional treatments outside the study protocol. (If they also report their symptoms differently, that is detection bias, because for self reported outcomes the patient is the outcome assessor.) These behavioral changes contaminate the comparison between groups, making it impossible to attribute observed differences solely to the intervention under study.
How it works
Performance bias arises through several mechanisms. Clinician behavior is a primary pathway: a surgeon who knows that a patient received a new implant may provide more intensive rehabilitation instructions; a nurse who knows that a patient is on placebo may be more attentive to complaints; a therapist delivering a psychosocial intervention cannot help but know which treatment they are providing and may invest more enthusiasm or effort in the intervention they believe is superior.
Patient behavior is another pathway. Patients who know they are receiving a new experimental treatment may be more motivated, more adherent, and more optimistic about their prognosis (a component of the placebo effect). Patients who know they are receiving the control treatment may be disappointed, less adherent, or more likely to seek alternative treatments outside the trial (co intervention), contaminating the control group.[2][4]
The primary safeguard against performance bias is blinding (masking).[3] In a double blind trial, neither participants nor clinicians know the treatment assignment, closing both the patient and the clinician pathways of performance bias for as long as the blinding holds. In a single blind trial (typically patient blinded), the patient pathway is addressed but the clinician pathway remains open. In an open label trial, neither pathway is controlled.
When blinding is not feasible (as in trials comparing surgery to medical therapy, or in behavioral interventions), several strategies can mitigate performance bias. Standardizing care protocols for all groups reduces variation in co interventions. Using objective outcome measures and blinded outcome assessors reduces detection bias, a separate problem, but does not stop the groups from receiving different care.[3] Monitoring protocol adherence and documenting co interventions allows post hoc assessment of the extent of performance bias. The original Cochrane Risk of Bias tool assessed performance bias in a domain on blinding of participants and personnel; its successor, RoB 2, covers it in the domain on bias due to deviations from intended interventions.[3][4]
When to use it
Assess and address the risk of performance bias in the design of every clinical trial. Implement blinding whenever feasible. When blinding is not possible, document the strategies used to minimize performance bias and discuss the potential impact on results. When reading or appraising published trials, evaluate the risk of performance bias as part of your quality assessment, noting whether blinding was implemented and what additional safeguards were described.[1][4]
Key takeaways
- Performance bias threatens the internal validity of clinical trials by introducing confounding factors that are not part of the intended intervention.
- Clinician behavior is a primary pathway: a surgeon who knows that a patient received a new implant may provide more intensive rehabilitation instructions; a nurse who knows that a patient is on placebo may be more attentive to complaints; a therapist delivering a psychosocial intervention cannot help but know which treatment they are providing and may invest more enthusiasm or effort in the intervention they believe is superior.
- Assess and address the risk of performance bias in the design of every clinical trial.
- A common mistake is assuming that randomization alone protects against performance bias.
Common mistakes
- A common mistake is assuming that randomization alone protects against performance bias. Randomization, together with allocation concealment, addresses selection bias (systematic differences in group composition at baseline) but does nothing to prevent differences in post randomization care; blinding, where feasible, is the main safeguard against those.[3]
- Another error is claiming that a trial is double blind when the nature of the intervention makes effective blinding implausible (for example, comparing acupuncture to pharmacotherapy without a sham procedure).
- Failing to assess and report the risk of performance bias is a further oversight, particularly in systematic reviews that evaluate the quality of included trials.
- Finally, dismissing the importance of performance bias for "hard" outcomes such as mortality overlooks the fact that even mortality can be affected by differential care, co interventions, and treatment seeking behavior.
Example
A randomized trial compares a new physiotherapy protocol to standard care for recovery after knee replacement. Because participants and physiotherapists cannot be blinded to the treatment assignment, the trial is open label. To mitigate performance bias, the protocol specifies that all participants receive identical postoperative medical care, that the number of physiotherapy sessions is standardized, and that outcome assessors are blinded. Nevertheless, a monitoring log reveals that physiotherapists delivering the new protocol spend an average of 8 minutes more per session than those delivering standard care, and patients in the new protocol group report higher satisfaction with their physiotherapists' engagement. The researchers note this as a limitation, acknowledging that the performance difference may contribute to the observed outcome advantage of the new protocol.
Test your understanding
5 questions that adapt as you go: answer two in a row correctly and they get harder.
Question 1 of 5
Scenario:
In an open label trial of a new pain treatment, several patients told they are in the standard care group start paying for massage therapy outside the trial.
Question:
What is happening here?
Hardness: Interpret
Sources
- [1]Hopewell S, Chan AW, Collins GS, et al. CONSORT 2025 statement: updated guideline for reporting randomised trials. BMJ. 2025;389:e081123. doi:10.1136/bmj-2024-081123
- [2]Creswell JW, Creswell JD. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 6th ed. SAGE Publications, 2023. ISBN 9781071817940
- [3]Higgins JPT, Altman DG, Gøtzsche PC, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928. doi:10.1136/bmj.d5928
- [4]Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. doi:10.1136/bmj.l4898
Cite this term
Paperguide. (2026, October 16). Performance Bias. In Paperguide Research Glossary. https://paperguide.ai/research-glossary/performance-bias/(Paperguide, 2026)