The Impact of Low EHR-Continuity on Effect Estimates: Evidence from Two EHR-Medicare Linked Databases
Limiting analyses to patients with higher EHR-continuity can reduce IR underestimation and bias in effect estimates, particularly on the IRD scale. While PS adjustment mitigates some bias, EHR-discontinuity remains a source of bias, especially in studies using non-user comparators. These findings underscore the importance of balancing EHR-continuity with sample size considerations in pharmacoepidemiologic research.
Authors
- Richard Wyss
- Jie Yang
- Yinzhu Jin
- Kueiyu Lin
- Angela Tong
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- Clinical Epidemiology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2147/clep.s549772
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health