title: Practice-based versus patient-level outcomes research in hemodialysis: the DOPPS (Dialysis Outcomes and Practice Patterns Study) experience.
abstract: When randomized controlled trials are unavailable, clinicians have to rely on observational studies. However, analyses using observational data to evaluate specific treatments and their associations with outcomes often are biased through confounding by clinical indication for the treatment of interest. Given the rich observational data and limited clinical trial data available in the dialysis population, successfully accounting for this bias can lead to substantial knowledge generation. In recent decades, much has been learned about statistical methods for observational data, including the fact that even extensive adjustments may not always overcome this bias, particularly when unmeasured confounders exist. In this article, examples based on the international DOPPS (Dialysis Outcomes and Practice Patterns Study) are used to demonstrate the value of practice-based instrumental variable analyses. This methodology leverages the marked differences in practice patterns among dialysis facilities and uses the reasonable assumption that patients are assigned to a dialysis facility without consideration of its specific treatment pattern in order to minimize bias in analyses relying on observational data. Examples using the dialysis facility as an instrument that are reviewed in depth in this article include studies of dialysate sodium concentration, systolic blood pressure targets, and treatment time, demonstrate the value of this methodology to produce advanced knowledge. However, practice-based analyses have potential limitations. Specifically, observation of sufficiently large differences in practice patterns is required and these analyses should consider that the treatment of interest may be associated with other facility treatment practices. These examples from the DOPPS hopefully will stimulate advances in methodologies and critical clinical work toward improving patient care by identifying beneficial treatment practices applicable to dialysis, chronic kidney disease, and beyond.
authors.affiliation: Arbor Research Collaborative for Health, Ann Arbor, MI. Electronic address: friedrich.port@arborresearch.org.
authors.forename: Friedrich K
authors.initials: FK
authors.lastname: Port
mesh_terms: D016208:Databases, Factual / Q000639:trends; D006801:Humans; D017063:Outcome Assessment, Health Care / Q000379:methods* / Q000639:trends; D010818:Practice Patterns, Physicians'; D006435:Renal Dialysis / Q000379:methods* / Q000639:trends; D051436:Renal Insufficiency, Chronic / Q000175:diagnosis / Q000453:epidemiology / Q000628:therapy*; D016896:Treatment Outcome
keywords: Confounding by indication; dialysate sodium; dialysis treatment time; instrumental variable analyses; international dialysis; observational studies; predialysis blood pressure