AHRQ MCC Research Network Data

This table contains information from grants funded by the AHRQ MCC Research Network. You may also search additional multiple chronic conditions related datasets.

* asterisk means data is available for download from this website

Investigator Grant Title & Description Data Publications
Blaum, Caroline S.
Clinical Database to Support Comparative Effectiveness Studies of Complex Patients

This project developed a unique relational database, linking chronic disease clinical information from the electronic medical records (EMR) of the University of Michigan Health System (UMHS), a large academic healthcare system, to multi-payer claims data. The database is dynamic, with most information available for between 2 and 5 years, and has strong potential for sustainability. The database can be used to evaluate the quality of clinical care as well as models of care delivery that are particularly important for complex patients, such as the patient-centered medical home, transitional care, and complex care coordination.

data information yes
Cantor, Joel C.
Infrastructure for CER on Innovative Delivery Systems for Complex Patients

This project established a statewide data infrastructure for conducting comparative effectiveness research (CER) using Medicaid and charity care claims, hospital billing data, and mortality records in New Jersey. This new infrastructure built research capacity by allowing researchers to compare the cost and quality of health care delivery system innovations to the care typically received by medically complex patients in low-income communities throughout the State.

Chrischilles, Elizabeth A.
Enhanced Data to Accelerate Complex Patient Comparative Effectiveness Research

This project used data from the Medicare Chronic Condition Data Warehouse (CCW) to develop an easy-touse suite of analytic files and pre-coded algorithms to study comparative effectiveness of strategies to prevent cardiovascular disease recurrence among complex patients. More than 100 raw data files were joined to create research-ready person and service-level analytic files and code templates and macros while at the same time adding granularity, precision, and uniformity in the study of comorbid conditions and other covariates.

data information yes
DuBard, Carol A.
Research Capability to Study Comparative Effectiveness in Complex Patients

This project developed and helped sustain the Mental Health Data Integration (MHDI) database, a comprehensive infrastructure for comparative effectiveness research. The MHDI integrates medical health care information with mental health care services and outcomes data for Medicaid and uninsured populations with complex medical and mental health comorbidities in North Carolina.

data information yes
Fischer, Henry
Expanding CER Capability through Complex Patient Relationship Management

This project created a technology infrastructure for bi-directional text message-based communication between providers and patients, including a link to the electronic medical record (EMR). The infrastructure allows for the collection of self-reported health data from patients with chronic illnesses between clinic visits and targeted outreach to at-risk patients. Patient-reported data is automatically incorporated into the EMR to inform providers.

data information yes
Fraser, Victoria J.
Washington University Comparative Effectiveness Administrative Data Repository

This project expanded and enhanced the existing data repository of the Washington University Center for Administrative Data Research to facilitate comparative effectiveness research (CER) related to care and treatment for patients with multiple chronic conditions. This enhancement included developing existing server infrastructure for more efficient storage and analysis of large administrative data files, the purchase of additional administrative data to extend the breadth of available information available, and the provision of data management and analytic expertise for health services and outcomes research throughout Washington University.

data information yes
Huang, Youjie
Expansion Research Capability to Study Comparative Effectiveness in Complex Patients

The Florida Department of Health collaborated with the Florida Agency for Health Care Administration to link the Florida Cancer Data System (FCDS) with hospital electronic medical records (EMR) of a large, urban hospital system. This linkage allows the FCDS to capture cancer diagnosis and treatment data more quickly and flexibly than was possible with traditional methods of cancer reporting, and the expanded data capacity provides invaluable potential for comparative effectiveness research on cancer treatments.

data information yes
Lynch, John T.
Building Infrastructure for Comparative Effectiveness Protocols (BICEP)

The BICEP infrastructure combines data architecture with standardized processes for obtaining and defining heterogene characteristics. The data architecture is a single analytic database including electronic data from a variety of clinical dat patient identifiers, with standardized definitions, coding, and locations of data elements from each source.

data information yes
MaCurdy, Thomas E.
Development of the Post-Acute Care Supplement (PACS) Research Files

This project created post-acute care supplement (PACS) files for patients receiving post-acute care using two Centers for Medicare & Medicaid Services (CMS) administrative data sets—the Minimum Data Set (MDS) for nursing home care and the Outcome and Assessment Information Set (OASIS) for home health care. The PACS files supplement existing utilization-based quality measures with measures of patient functional status, psychosocial well-being, cognitive impairment, communication difficulties, and vital care processes including medication management. This enhanced capacity supports comparative effectiveness research (CER) on patients with multiple chronic conditions who receive Medicare and Medicaid-funded post-acute care, allowing researchers to identify effective treatments for this population.

data information yes
Miller, Benjamin
Collaborative National Network Examining Comparative Effectiveness Trials

The Collaborative National Networks Examining Comparative Effectiveness Trials (CoNNECT) combines the efforts of two existing practice-based research networks (PBRNs)—Collaborative Care Research Network (CCRN), which provides collaborative, integrated care to patients with mental health or substance abuse problems and physical conditions, and the Distributed Ambulatory Research and Therapeutics Network (DARTNet), which electronically mines electronic health record data across organizations to study patients with multiple health conditions. By combining these networks to create a new data infrastructure, CoNNECT can help to foster comparative effectiveness research on the integration of mental health care into primary care and provide data to inform recommendations for policymakers and practitioners on the need for, and impact of, integrating mental health into primary care.

data information yes
Ornstein, Steven M.
Enhancing Comparative Effectiveness Research Capabilities in PPRNet

This project enhanced the insfrastructure and research capability of the Practice Partner Research Network (PPRNet), a successful national primary care practice-based research network, to conduct epidemiologic and comparative effectiveness research. Research capability was enhanced by expanding the network and developing computer algorithms that allow researchers to identify patients with any of 20 chronic medical conditions. This project helps fill gaps in current knowledge about the relationship between chronic illness and the delivery of recommended preventive services, and informs efforts to improve the delivery of these services to patients with multiple chronic illnesses.

data information yes
Rust, George S
Optimal & Equitable Care: Medicaid Data Research Infrastructure

This project established a database of all Medicaid enrollees for 14 southern States, enabling new research to understand and address widespread racial-ethnic disparities in health care and outcomes for this population. Medicaid patients are characterized by clinical and social complexity—the very characteristics which often exclude them from clinical trials and yet drive health disparities. This data set supports new research focusing on the intersection between health disparities research and comparative effectiveness research in clinically and socially complex patient populations. Use of the database is enhanced by physical infrastructure and mechanism improvements and through an investigator training program for minority researchers.

data information yes
Trick, William E.
* Computer Assisted Quality of Life and Symptom Assessment

This project implemented the routine collection of health-related quality-of-life and symptom-burden information using an audio computer-assisted interview (A-CASI) to patients with multiple chronic illnesses in both ambulatory clinic and inpatient settings. A-CASI data was linked with clinical data for use by health services researchers, and summary scores from the quality-of-life and symptom-burden assessments automatically populated patient electronic medical records (EMR) to inform clinicians.

data information yes

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