9.2.2 “Hierarchy of Evidence”


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Describes the “Hierarchy of Evidence” as it Applies to Different Types of Questions

In healthcare, the hierarchy of evidence refers to the ranking of different types of studies based on their level of evidence. The hierarchy of evidence can be used to determine the strength of the evidence in support of a particular intervention or treatment. In this teaching piece, we’ll explore the hierarchy of evidence and how it applies to different types of clinical questions.

The hierarchy of evidence can be visualised as a pyramid, with the highest quality evidence at the top and the lowest quality evidence at the bottom. At the top of the pyramid are systematic reviews and meta-analyses, followed by randomized controlled trials, cohort studies, case-control studies, cross-sectional studies, case reports, and expert opinion at the bottom.

Level of EvidencePositivesNegatives
Expert OpinionProvides insights based on clinical experience
Quick to formulate
Flexible
Highly subjective
Potential for bias
Not evidence-based
Case Reports and Case SeriesCan highlight rare or new conditions
Generates hypotheses
Provides detailed info
No control group
Limited generalisability
Cannot establish causality
Cross-sectional StudiesSnapshot of data at a specific time
Useful for prevalence studies
Can be less costly and time-consuming
Cannot establish causality
Limited temporal data
Prone to selection bias
Case-control StudiesGood for studying rare conditions
Less time and resource-intensive than cohort studies
Retrospective nature can lead to recall bias
Difficult to establish temporal relationship
Cohort StudiesCan observe effect over time
Good for studying risk factors
Expensive and time-consuming
Potential for loss to follow-up
Randomised Controlled Trials (RCTs)Gold standard for testing interventions
Minimises bias through randomisation
Expensive and complex
Ethical considerations
May lack external validity
Systematic Reviews and Meta-analysesComprehensive overview of existing research
Can provide strong evidence through data aggregation
Quality depends on the included studies
Potential for publication bias

The hierarchy of evidence is particularly important when formulating different types of clinical questions, as different types of questions require different levels of evidence. Here’s how the hierarchy of evidence applies to different types of clinical questions:

Therapy Questions:

Therapy questions ask whether an intervention or treatment is effective in treating a particular condition. The highest level of evidence for therapy questions is a systematic review or meta-analysis of randomized controlled trials. If a systematic review or meta-analysis is not available, the next best option is a well-designed and conducted randomized controlled trial.

Harm Questions:

Harm questions ask whether an intervention or treatment causes harm or adverse effects. The highest level of evidence for harm questions is a systematic review or meta-analysis of randomized controlled trials or cohort studies. If a systematic review or meta-analysis is not available, the next best option is a well-designed and conducted cohort study.

Aetiology Questions:

Aetiology questions ask about the causes of a particular condition or disease. The highest level of evidence for aetiology questions is a systematic review or meta-analysis of cohort studies. If a systematic review or meta-analysis is not available, the next best option is a well-designed and conducted cohort study.

Prognosis Questions:

Prognosis questions ask about the likely course or outcome of a particular condition or disease. The highest level of evidence for prognosis questions is a systematic review or meta-analysis of cohort studies that follow a group of individuals over time. If a systematic review or meta-analysis is not available, the next best option is a well-designed and conducted cohort study.

Diagnosis Questions:

Diagnosis questions ask about the accuracy of a particular diagnostic test or procedure. The highest level of evidence for diagnosis questions is a systematic review or meta-analysis of well-designed and conducted cross-sectional studies that compare the diagnostic test or procedure to a gold standard. If a systematic review or meta-analysis is not available, the next best option is a well-designed and conducted cross-sectional study.

Economic Questions:

Economic questions ask about the cost-effectiveness of an intervention or treatment. The highest level of evidence for economic questions is a systematic review or meta-analysis of economic evaluations, which can include cost-effectiveness analyses or cost-utility analyses. If a systematic review or meta-analysis is not available, the next best option is a well-designed and conducted economic evaluation.

Qualitative Questions:

Qualitative questions ask about the experiences, beliefs, and attitudes of individuals related to a particular condition or treatment. The highest level of evidence for qualitative questions is a systematic review or meta-synthesis of qualitative studies. If a systematic review or meta-synthesis is not available, the next best option is a well-conducted qualitative study.

Type of QuestionHighest Level of Evidence
TherapySystematic review or meta-analysis of randomized controlled trials
HarmSystematic review or meta-analysis of randomized controlled trials or cohort studies
AetiologySystematic review or meta-analysis of cohort studies
PrognosisSystematic review or meta-analysis of cohort studies
DiagnosisSystematic review or meta-analysis of well-designed and conducted cross-sectional studies
EconomicSystematic review or meta-analysis of economic evaluations
QualitativeSystematic review or meta-synthesis of qualitative studies

In conclusion, the hierarchy of evidence is an important tool for evaluating the strength of evidence in support of different types of clinical questions. Healthcare professionals should consider the hierarchy of evidence when formulating clinical questions and selecting the most appropriate sources of evidence to answer those questions.

References:

  1. Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., … & Jaeschke, R. (2008). GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. Bmj, 336(7650), 924-926. doi: 10.1136/bmj.39489.470347.AD