ISPOR Prospective Observational Studies to Assess Comparative Effectiveness Good Research Practices Task Force Report
This guideline provides recommendations on how to design and report prospective observational studies that look at how well different healthcare treatments work in real-world settings.
At a glance
Use when
Designing or evaluating prospective observational studies for comparative effectiveness; developing real-world evidence plans for regulatory or reimbursement submissions
Avoid when
High-quality randomized controlled trial evidence is available and sufficient; when study objectives require strict experimental control
Inputs
Study objectives, population criteria, intervention details, real-world data sources
Outputs
Study design recommendations, reporting guidelines, methodological standards
How it works
Developed by ISPOR, this report outlines good research practices for prospective observational studies assessing comparative effectiveness, focusing on study design, data collection, bias mitigation, and transparent reporting to support healthcare decision-making.
- HTA domains
- Clinical Effectiveness
- Assumptions
- Prospective observational studies can yield valid comparative effectiveness evidence when properly designed; real-world data can complement randomized trial evidence
- Strengths
- Provides structured, expert-endorsed guidance; enhances credibility of observational research; supports regulatory and policy use of real-world evidence
- Limitations
- Does not replace randomized trials for causal inference; applicability may vary by disease area or data availability
- Also known as
- ISPOR Comparative Effectiveness Observational Studies Guideline
Questions this answers
- › How should prospective observational studies be designed to assess comparative effectiveness?
- › What are best practices for minimizing bias in observational comparative effectiveness research?
- › How should real-world data be collected and analyzed in comparative effectiveness studies?
- › What reporting standards should be followed for transparency and reproducibility?
- › How can researchers ensure validity in non-randomized study designs?
- › What role do observational studies play in healthcare decision-making?
References & sources
Similar by meaning
- Good Practices for Real-World Data Studies of Treatment Effectiveness
- ISPOR Retrospective Database Analysis Good Research Practices — Part III (Analytic Methods)
- ISPOR Good Research Practices for Retrospective Database Analysis Checklist (Part I)
- ISPOR Conjoint Analysis Experimental Design Good Research Practices
- GRACE Checklist (Good ReseArch for Comparative Effectiveness)
Beta record. Based on the original catalogue summary; primary-source enrichment pending.