GRADE EVIDENCE-TO-DECISION FRAMEWORK RESOURCE
GRADE Evidence-to-Decision Framework Template for Evidence Synthesis
Translate evidence into recommendations by documenting benefits, harms, values, resources, equity, acceptability, and feasibility without collapsing judgment into a score.
A systematic review can establish what the evidence shows. It cannot, by itself, decide what clinicians, patients, health systems, or policy makers should do. The GRADE Evidence-to-Decision framework begins at that boundary.
Evidence-to-Decision (EtD) frameworks were developed to make the reasoning behind recommendations explicit: what effects matter, how certain the evidence is, what people value, what resources are required, and whether an option is equitable, acceptable, and feasible.1,2 Core GRADE 7, published in 2025, reorganized this reasoning around primary considerations concerned chiefly with patient-important consequences and secondary considerations that become increasingly important when recommendations are made from a population or system perspective.1
The decision is wider than the effect estimate
Three layers need to remain separate. First, the review supplies estimates of benefits and harms. Second, GRADE certainty assessment records how much confidence can be placed in outcome-level claims. Third, the decision process weighs those findings with considerations that are not contained in a meta-analysis. Mixing these layers makes recommendations harder to audit and encourages a false impression that a sufficiently favorable effect estimate can determine the answer on its own.1,3
Effects, harms, participant-important outcomes, and certainty ratings supplied by systematic review and GRADE assessment.
An explicit panel conclusion about one criterion, supported by evidence and an explanation rather than a numerical score.
A conclusion for or against an option, with direction and strength justified across the relevant EtD considerations.
What belongs in a defensible EtD record
The 2016 GRADE EtD framework established a common sequence: formulate the decision question, assess evidence against explicit criteria, then draw and document conclusions.2,3 Core GRADE 7 retains that logic but gives clearer prominence to patient-important benefits and harms, certainty, and values before population-level considerations such as costs, feasibility, acceptability, and equity are brought into the final deliberation.1
| Part of the record | What it must establish | What it must not become |
|---|---|---|
| Decision context | The question, setting, perspective, decision-maker, and version being considered. | A generic PICO copied from the review without specifying who is making what decision. |
| Evidence inputs | Critical outcomes, effects, harms, and certainty linked to their source evidence tables. | A second Summary of Findings table or a second certainty worksheet. |
| Criterion judgments | A judgment, the evidence considered, uncertainty, and a written rationale for each applicable criterion. | A points system or weighted score. |
| Conclusion | Direction, strength, justification, implementation conditions, and unresolved issues. | An automatically generated recommendation. |
| Governance | Who deliberated, how conflicts were handled, how disagreement was resolved, and which version was approved. | A substitute for the governance rules of the organization issuing the recommendation. |
Interactive decision-support record
Build an Evidence-to-Decision record
Document the evidence and rationale behind each judgment. The template checks completeness and logical tensions, but it never scores criteria or chooses a recommendation for you.
1. Define the decision context
Describe the decision before judging any criterion. Resource and feasibility judgments are uninterpretable without a perspective and setting.
2. Attach the evidence inputs
Reference the synthesis products that support deliberation. Do not repeat their full methods here.
3. Record the primary considerations
Core GRADE 7 places patient-important effects, certainty, and values at the center of recommendation reasoning. The balance judgment follows from these inputs; it is not an arithmetic total.
Magnitude and importance of anticipated benefits
Harms, burdens, and other adverse consequences
Confidence in the critical outcome claims relevant to this decision
Importance people place on outcomes, including variability and uncertainty
Integrated judgment after considering benefits, harms, certainty, and values
4. Record the secondary considerations
These criteria locate the recommendation in a real population, service, and policy context. Their importance varies with the type of decision.
Magnitude and distribution of resources from the stated perspective
Confidence in the evidence supporting resource estimates
Formal economic evidence, where relevant to the decision
Distribution of benefits, harms, access, and resources across groups
Whether relevant stakeholders find the option acceptable
Whether implementation is realistically achievable
5. Document the panel conclusion
Select the conclusion reached by the panel and record why. The template does not infer this from preceding judgments.
6. Preserve the governance record
An EtD framework makes reasoning transparent; it does not replace conflict-of-interest management, stakeholder representation, or the organization’s decision rules.
Decision-support check
Live decision record
This preview is deliberately descriptive. It does not calculate a recommendation score.
| Criterion | Recorded judgment | Rationale status |
|---|
The tool will not infer a recommendation from the criterion judgments.
What the template can check, and what it must leave to people
Decision-support software is useful when it improves documentation, not when it conceals normative judgments behind automation. A completion checker can identify a missing evidence source or an unexplained strong recommendation. It cannot decide whether an equity effect is acceptable, which stakeholder values should prevail, or whether a service constraint justifies a conditional recommendation. Recent methodological discussion has treated AI-assisted EtD navigation as an open area rather than an established replacement for panel deliberation.9
Safe decision support
- Track incomplete fields and missing rationales.
- Flag a strong recommendation entered against low-certainty evidence without an exception rationale.
- Keep acceptability and feasibility in separate records.
- Preserve versions, panel notes, sources, and dissent.
- Export the documented record for review.
Judgments the tool must not make
- Calculate the balance of effects.
- Assign weights or points to EtD criteria.
- Decide whether equity is improved or worsened.
- Infer acceptability or feasibility from proxies.
- Choose recommendation direction or strength.
A worked record should reveal tension, not erase it
The built-in example is deliberately mixed. A hypothetical home-based exercise program for moderate knee osteoarthritis has a favorable benefit profile and moderate certainty, but the delivery model requires physiotherapy capacity that is unevenly available. The equity and feasibility fields therefore point in a less favorable direction than the effects field. The resulting hypothetical conclusion is conditional, with an implementation caveat. This is the kind of situation an EtD record is designed to expose: criteria can legitimately pull in different directions, and the final justification should show how the panel handled that tension.1
Completion is not the same as defensibility
A defensible EtD record lets another reader reconstruct the reasoning. The perspective is explicit. Evidence sources are identifiable. Values are based on evidence rather than the review team’s preferences. Costs are not mislabeled as cost-effectiveness. Equity, acceptability, and feasibility remain separate. The panel’s conclusion records which considerations mattered most and where uncertainty remains. Empirical studies of guideline methods have found that use of EtD frameworks is associated with more comprehensive consideration of recommendation criteria and with higher guideline and recommendation quality scores, although those observational findings describe implementation rather than prove that a framework causes better decisions.7,8
Conclusion
An Evidence-to-Decision template is useful when it preserves the distance between evidence and recommendation rather than pretending that the distance does not exist. The finished record should show what evidence entered the discussion, what each relevant criterion meant in that decision context, where the panel was uncertain or divided, and why the final conclusion took the form it did. A completed form is therefore not the endpoint. The endpoint is a recommendation whose reasoning can be inspected.
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Evidence-to-Decision practice
Frequently asked questions
Can systematic-review authors complete a GRADE Evidence-to-Decision framework themselves?
They can prepare and pre-populate evidence inputs, but an EtD framework extends beyond evidence synthesis into judgments about values, resources, equity, acceptability, feasibility, and recommendation strength. A legitimate clinical or policy recommendation therefore requires an appropriately constituted decision-making group operating under suitable governance.1,2
Does the GRADE Evidence-to-Decision framework calculate a recommendation?
Does high-certainty evidence automatically justify a strong recommendation?
No. Certainty is one consideration. Core GRADE 7 states that strong recommendations are generally made when certainty is high or moderate, but recommendation strength also depends on effects, values and preferences, and relevant population or system considerations. Exceptional strong recommendations with low certainty can occur, but require explicit justification.1
Are acceptability and feasibility the same EtD criterion?
Is a higher cost the same as poor cost-effectiveness?
No. Resource requirements describe costs and other resource consequences from a defined perspective. Cost-effectiveness asks whether the additional costs and consequences represent value relative to an alternative, usually through formal economic evidence. A treatment can cost more and still be cost-effective, or cost less without being the preferred option.
How do the Summary of Findings table and certainty worksheet connect to the EtD template?
The Summary of Findings table supplies effects and outcome-level certainty in a decision-readable form, while the certainty worksheet preserves the reasoning behind those ratings. The EtD record uses those products as inputs and adds the judgments needed to move toward a recommendation; it should not recreate either upstream assessment.10
Do all GRADE Evidence-to-Decision variants use exactly the same criteria?
No. Clinical, public-health, coverage, health-system, and test-related decisions share a common transparent structure but differ in criteria and emphasis. For example, formal economic analysis is often more central to coverage decisions, while population-level frameworks may give greater prominence to equity and system effects.2,4
Source record
References
References follow Vancouver order of first citation with Nature-style superscript numbering. Primary methodological sources are prioritized; empirical studies are used to describe implementation rather than redefine GRADE methodology.
- Guyatt G, Vandvik PO, Iorio A, et al. Core GRADE 7: principles for moving from evidence to recommendations and decisions. BMJ. 2025;389:e083867. doi:10.1136/bmj-2024-083867. PMID: 40461180.
- Alonso-Coello P, Schünemann HJ, Moberg J, et al. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 1: Introduction. BMJ. 2016;353:i2016. doi:10.1136/bmj.i2016. PMID: 27353417.
- Alonso-Coello P, Oxman AD, Moberg J, et al. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 2: Clinical practice guidelines. BMJ. 2016;353:i2089. doi:10.1136/bmj.i2089. PMID: 27365494.
- Rehfuess EA, Stratil JM, Scheel IB, et al. The WHO-INTEGRATE evidence to decision framework version 1.0: integrating WHO norms and values and a complexity perspective. BMJ Glob Health. 2019;4(Suppl 1):e000844. doi:10.1136/bmjgh-2018-000844.
- Canadian Task Force on Preventive Health Care. Development of Recommendations. Chapter 5. Methods Manual. 2023. Available from: Canadian Task Force.
- Evidence-to-decision frameworks: a review and analysis to inform decision-making for environmental health interventions. 2021. Available from: PubMed Central.
- Meneses-Echavez JF, Bidonde J, et al. Evidence to decision frameworks enabled structured and explicit development of healthcare recommendations. J Clin Epidemiol. 2022;150:51–62. doi:10.1016/j.jclinepi.2022.06.004. PMID: 35710054.
- Meneses-Echavez JF, Bidonde J, Montesinos-Guevara C, et al. Using evidence to decision frameworks led to guidelines of better quality and more credible and transparent recommendations. J Clin Epidemiol. 2023;162:38–46. doi:10.1016/j.jclinepi.2023.07.013. PMID: 37517506.
- Meneses-Echavez JF, Alonso-Coello P, Vist GE, et al. Evidence-to-Decision Frameworks: Enhancing the Quality and Rigour of Guidelines and Recommendations. Clinical and Public Health Guidelines. 2026;3(3):e70078. doi:10.1002/gin2.70078.
- Guyatt G, et al. Core GRADE 6: presenting the evidence in summary of findings tables. BMJ. 2025;389:e083866. doi:10.1136/bmj-2024-083866.