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

Sep 1, 2017, 00:00
10.1016/j.jval.2017.08.3018
https://www.valueinhealthjournal.com/article/S1098-3015(17)33352-1/fulltext
Title : Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0
Citation : https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(17)33352-1&doi=10.1016/j.jval.2017.08.3018
First page : 1009
Section Title : ISPOR/ISPE REPORTS
Open access? : No
Section Order : 2

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 being sought by decision‐makers. Varied terminology is used around the world for the same concepts. Agreeing on terminology and which parameters from a large catalogue are the most essential to report for replicable research would improve transparency and facilitate assessment of validity. At a minimum, reporting for a database study should provide clarity regarding operational definitions for key temporal anchors and their relation to each other when creating the analytic dataset, accompanied by an attrition table and a design diagram.

Categories :
Tags :
  • healthcare databases
  • longitudinal data
  • methods
  • pharmacoepidemiology
  • replication
  • reproducibility
  • transparency
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