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quality-assessment-protocol

Research
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Methodological quality and bias risk assessment of included studies using validated tools

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/quality-assessment-protocol/SKILL.md

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Quality Assessment Protocol Tactic

Systematically assess methodological quality and risk of bias for each included study using domain-appropriate validated tools.

Stages

Stage 1: Tool Selection

Select the appropriate quality assessment tool based on study design.

Study DesignToolDomains
RCTRoB 2.0Randomization, deviations, missing data, measurement, selection
Non-randomized interventionsROBINS-IConfounding, selection, classification, deviations, missing, measurement, reporting
Diagnostic accuracyQUADAS-2Patient selection, index test, reference standard, flow/timing
Prediction modelsPROBASTParticipants, predictors, outcome, analysis
ObservationalNewcastle-OttawaSelection, comparability, outcome/exposure

Decision: Match tool to study design. Use one tool consistently within a meta-analysis.

Stage 2: Per-Study Assessment

Apply the selected tool to each included study.

  • Assess each domain independently
  • Use signaling questions to guide domain judgments
  • Assign domain-level judgment (Low/Some Concerns/High risk)
  • Document supporting rationale for each judgment
  • Resolve disagreements with explicit criteria

SOPs: risk-of-bias-assessment

Stage 3: Summary and Visualization Planning

Plan the summary presentation of quality assessments.

  • Traffic light plot (per-study, per-domain)
  • Summary bar chart (proportion at each risk level per domain)
  • Overall risk-of-bias judgment per study
  • Sensitivity analysis groupings (low-risk only vs all)
  • GRADE certainty assessment contribution

SOPs: sensitivity-analysis-design

Minimum Yield

Per execution of this tactic:

  • At least 5 studies assessed
  • All domains of the selected tool evaluated per study
  • Supporting rationale documented for each judgment
  • Summary visualization plan produced
  • Sensitivity groupings defined

Output Format

quality_assessment:
  tool_used: [RoB2/ROBINS-I/QUADAS-2/PROBAST/NOS]
  assessments:
    - study_id: [identifier]
      domains:
        - domain: [name]
          judgment: [Low/Some Concerns/High]
          rationale: [supporting text]
      overall: [Low/Some Concerns/High]
  summary:
    low_risk_count: [N]
    some_concerns_count: [N]
    high_risk_count: [N]
    problematic_domains: [most common high-risk domains]
  sensitivity_groups:
    low_risk_only: [study list]
    excluding_high_risk: [study list]

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOPWhen to use
risk-of-bias-assessmentAssess methodological bias using RoB2, PROBAST, or QUADAS-2 validated tools
sensitivity-analysis-designDesign leave-one-out, influence diagnostics, subgroup analyses, and robustness checks