Study Description and Methods
Scalable Architecture for Therapeutic Inquiries Network (SAFTINet) was established to support comparative effectiveness research (CER) benefiting safety net stakeholders. SAFTINet is creating a technical infrastructure to support a CER information network, using recent innovations in technology which allow participating entities to control the reuse of their de-identified patient data. SAFTINet also supports a learning community of stakeholder participants adhering to the principles of community-based participatory research, including the facilitation of collaboration among all partners, the integration and dissemination of knowledge, and a process of co-learning and co-decision making.
SAFTINet's initial project included studies to identify and assemble the following condition cohorts: asthma (both pediatric and adult), hypertension, and hyperlipidemia. SAFTINet collected information allowing it to assess the impact of patient centered medial home traits and mental health care delivery models on patient outcomes, with a special focus on patient-centered outcomes, such as health related quality of life outcome.
Specific Aims and Objectives
To gain, and share, knowledge regarding the infrastructures built during this project which will support CER research for safety net populations, and inform clinical care and health policy.
September 2010 through September 2014.
The SAFTINet study is currently under analysis. See below for preliminary findings.
For additional information about this study, please contact:
Elias Brandt, BA, BS
Research Systems Analyst
AAFP National Research Network
(800) 274-2237, ext. 3177
Key Findings and Publications
Access the complete manuscripts:
Scalable Architecture for Featured Translational Inquiries Network (SAFTINet) Technology Infrastructure for a Distributed Data Network(13 page PDF). Schilling LM, Kwan BM, Drolshagen CT, Hosokawa PW, Brandt E, Pace, WD, Uhrich C, Kamerick M, Bunting A, Payne P, Stephens WE, George JM, Vance M, Giacomini K, Braddy J, Green MK, Kahn MG. eGEMs. 2013; 1(1) (13 Page PDF)
This study is funded by grants from AHRQ.