title: Selecting data elements to build a patient-centric electronic health record that will support adherence to therapeutic lifestyle change.
abstract: Cardiovascular disease (CVD) remains the leading cause of death in the US. Therapeutic lifestyle change (TLC) is an effective intervention to reduce the risk of CVD. In developing a patient-centric electronic health record (PC-EHR), our project aims to build an evidence-based support system to facilitate patient-provider interaction, foster cooperative chronic disease management, and promote adherence to TLC guidelines by both providers and patients. In this paper we report on the findings of a modified Delphi method (MDM) study to determine the behavioral and psychosocial elements needed to extend the clinical data model and support the TLC decision support algorithm. An eight-member expert advisory committee reviewed a list of 83 proposed data elements including those from the National Cholesterol Education Program Adult Treatment Panel III guidelines and finalized a set of 30 data elements for inclusion. The MDM proved to be an effective approach for prioritizing data elements.
authors.affiliation: Department of Biomedical Informatics, Columbia University, New York, NY, USA.
authors.forename: Connie
authors.initials: C
authors.lastname: Chan
authors.forename: Alwyn
authors.initials: A
authors.lastname: Cohall
authors.forename: David
authors.initials: D
authors.lastname: Kaufman
authors.forename: Sharib
authors.initials: S
authors.lastname: Khan
authors.forename: Rita
authors.initials: R
authors.lastname: Kukafka
mesh_terms: D002318:Cardiovascular Diseases / Q000517:prevention & control*; D003660:Decision Support Systems, Management / Q000592:standards*; D019983:Guideline Adherence; D006801:Humans; D016347:Medical Records Systems, Computerized / Q000592:standards*; D009518:New York; D018802:Patient-Centered Care / Q000592:standards*; D017410:Practice Guidelines as Topic; D040242:Risk Reduction Behavior