title: The Stroke Prevention Policy Model: linking evidence and clinical decisions.
abstract: Simulation models that support decision and cost-effectiveness analysis can further the goals of evidence-based medicine by facilitating the synthesis of information from several sources into a single comprehensive structure. The Stroke Prevention Policy Model (SPPM) performs this function for the clinical and policy questions that surround stroke prevention. This paper first describes the basic structure and functions of the SPPM, concentrating on the role of large databases (broadly defined as any database that contains many patients, regardless of study design) in providing the SPPM inputs. Next, recognizing that the use of modeling continues to be a source of some controversy in the medical community, it discusses the philosophical underpinnings of the SPPM. Finally, it discusses conclusions in the context of both stroke prevention and other complex medical decisions. We conclude that despite the difficulties in developing comprehensive models (for example, the length and complexity of model development and validation processes, the proprietary nature of data sources, and the necessity for developing new software), the benefits of such models exceed the costs of continuing to rely on more conventional methods. Although they should not replace the clinician in decision making, comprehensive models based on the best available evidence from large databases can support decision making in medicine.
authors.affiliation: Duke University, Durham, NC, USA.
authors.forename: D B
authors.initials: DB
authors.lastname: Matchar
authors.forename: G P
authors.initials: GP
authors.lastname: Samsa
authors.forename: J R
authors.initials: JR
authors.lastname: Matthews
authors.forename: M
authors.initials: M
authors.lastname: Ancukiewicz
authors.forename: G
authors.initials: G
authors.lastname: Parmigiani
authors.forename: V
authors.initials: V
authors.lastname: Hasselblad
authors.forename: P A
authors.initials: PA
authors.lastname: Wolf
authors.forename: R B
authors.initials: RB
authors.lastname: D'Agostino
authors.forename: J
authors.initials: J
authors.lastname: Lipscomb
mesh_terms: D002561:Cerebrovascular Disorders / Q000517:prevention & control*; D003198:Computer Simulation; D016208:Databases, Factual; D020000:Decision Support Systems, Clinical; D019317:Evidence-Based Medicine; D006801:Humans; D017410:Practice Guidelines as Topic; D014481:United States