Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0.

ABSTRACT:

Purpose

Defining a study population and creating an analytic dataset from longitudinal healthcare databases involves many decisions. Our objective was to catalogue scientific decisions underpinning study execution that should be reported to facilitate replication and enable assessment of validity of studies conducted in large healthcare databases.

Methods

We reviewed key investigator decisions required to operate a sample of macros and software tools designed to create and analyze analytic cohorts from longitudinal streams of healthcare data. A panel of academic, regulatory, and industry experts in healthcare database analytics discussed and added to this list.

Conclusion

Evidence generated from large healthcare encounter and reimbursement databases is increasingly be

SUBMITTER: Wang SV 

PROVIDER: S-EPMC5639362 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature