BACKGROUND: The Distributed Ambulatory Research in Therapeutics Network (DARTNet) is a federated network of electronic health record (EHR) data, designed as a platform for next-generation comparative effectiveness research in real-world settings. DARTNet links information from nonintegrated primary care clinics that use EHRs to deliver ambulatory care to overcome limitations with traditional observational research. OBJECTIVE: Test the ability to conduct a remote, electronic point of care study in DARTNet practices by prompting clinic staff to obtain specific information during a patient encounter. RESEARCH DESIGN: Prospective survey of patients identified through queries of clinical data repositories in federated network organizations. On patient visit, survey is triggered and data are relinked to the EHR, de-identified, and copied for evaluation. SUBJECTS: Adult patients diagnosed with diabetes mellitus that scheduled a clinic visit for any reason in a 2-week period in DARTNet primary care practices. MEASURES: Survey on hypoglycemic events (past month) and over-the-counter and herbal supplement use. RESULTS: DARTNet facilitated point of care data collection triggered by an electronic prompt for additional information at a patient visit. More than one-third of respondents (33% response rate) reported either mild (45%) or severe hypoglycemic events (5%) in the month before the survey; only 3 of those were also coded using the ICD-9 (a significant difference in detection rates 37% vs. 1%). Nearly one-quarter of patients reported taking an OTC/herbal, 4% specifically for the treatment of symptoms of diabetes. CONCLUSIONS: Prospective data collection is feasible in DARTNet and can enable comparative effectiveness and safety research.
BACKGROUND: The Distributed Ambulatory Research in Therapeutics Network (DARTNet) is a federated network of electronic health record (EHR) data, designed as a platform for next-generation comparative effectiveness research in real-world settings. DARTNet links information from nonintegrated primary care clinics that use EHRs to deliver ambulatory care to overcome limitations with traditional observational research. OBJECTIVE: Test the ability to conduct a remote, electronic point of care study in DARTNet practices by prompting clinic staff to obtain specific information during a patient encounter. RESEARCH DESIGN: Prospective survey of patients identified through queries of clinical data repositories in federated network organizations. On patient visit, survey is triggered and data are relinked to the EHR, de-identified, and copied for evaluation. SUBJECTS: Adult patients diagnosed with diabetes mellitus that scheduled a clinic visit for any reason in a 2-week period in DARTNet primary care practices. MEASURES: Survey on hypoglycemic events (past month) and over-the-counter and herbal supplement use. RESULTS: DARTNet facilitated point of care data collection triggered by an electronic prompt for additional information at a patient visit. More than one-third of respondents (33% response rate) reported either mild (45%) or severe hypoglycemic events (5%) in the month before the survey; only 3 of those were also coded using the ICD-9 (a significant difference in detection rates 37% vs. 1%). Nearly one-quarter of patients reported taking an OTC/herbal, 4% specifically for the treatment of symptoms of diabetes. CONCLUSIONS: Prospective data collection is feasible in DARTNet and can enable comparative effectiveness and safety research.
Authors: Karl Hammermeister; Michael Bronsert; William G Henderson; Letoynia Coombs; Patrick Hosokawa; Elias Brandt; Cathy Bryan; Robert Valuck; David West; Winston Liaw; Michael Ho; Wilson Pace Journal: J Am Board Fam Med Date: 2013 Nov-Dec Impact factor: 2.657
Authors: Jea Young Min; Marie R Griffin; Adriana M Hung; Carlos G Grijalva; Robert A Greevy; Xulei Liu; Tom Elasy; Christianne L Roumie Journal: J Gen Intern Med Date: 2016-06 Impact factor: 5.128
Authors: Michael R Bronsert; William G Henderson; Robert Valuck; Patrick Hosokawa; Karl Hammermeister Journal: J Am Board Fam Med Date: 2013 Sep-Oct Impact factor: 2.657
Authors: Daniel M Hartung; Jeanne-Marie Guise; Lyle J Fagnan; Melinda M Davis; Kurt C Stange Journal: J Comp Eff Res Date: 2012-01 Impact factor: 1.744