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ISPOR Good Research Practices for Retrospective Database Analysis Checklist (Part I)

Checklistpeer-reviewed

A checklist to help researchers properly design, report, and understand studies that use existing health data from sources like insurance claims or electronic health records, especially when comparing treatments.

At a glance

Use when

Conducting nonrandomized studies using existing databases for comparative effectiveness research

Avoid when

Primary data collection is planned or required; when real-world data are not relevant or available

Inputs

Secondary health data (e.g., claims, electronic health records), research question, study population, exposure and outcome definitions

Outputs

Methodologically sound, transparently reported retrospective database analysis

How it works

A standardized checklist developed by the ISPOR Task Force to guide the conduct and reporting of nonrandomized, retrospective database studies in comparative effectiveness research, ensuring methodological rigor and transparency in defining study elements, data sources, and analytical approaches.

HTA domains
Clinical Effectiveness, Costs & Economic Evaluation, Safety
Assumptions
Data quality is sufficient; data sources are appropriate for the research question; proper statistical methods are applied to address biases
Strengths
Promotes consistency and rigor in retrospective studies; enhances transparency and reproducibility; developed by an expert task force
Limitations
May not cover all nuances of diverse data sources; limited guidance on specific statistical techniques for bias adjustment

Questions this answers

References & sources

Related methods

Similar by meaning

Beta record. Based on the original catalogue summary; primary-source enrichment pending.