Comparative Effectiveness Research Methods
Symposium Overview and Summary
Bibliographic Data
| ID | 9099477 |
|---|---|
| Authors | Kathleen N Lohr (0000-0002-3825-0713, RTI International, corresponding author) |
| Year | 2010 |
| Volume | 48 |
| Issue | 6 |
| Pages | S3-S6 |
| Publication date | 2010-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e3181e10434 |
| PMID | 20473188 |
| OpenAlex | W1971236349 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
BACKGROUND: The Agency for Healthcare Research and Quality, in expanding its efforts to advance methods for comparative effectiveness research (CER), convened a second invitational symposium in June 2009 through its Developing Evidence to Inform Decisions About Effectiveness (DEcIDE) network. A distinguished Planning Committee set the agenda, reviewed more than 70 abstracts, and invited almost 30 speakers; the program emphasized issues of clinical heterogeneity and longitudinal outcomes, including patient-reported measures. RESULTS: Conference papers covered a varied set of points about 3 major areas of CER: study design and data collection issues; statistical and analytic techniques; and applications to policy and clinical decision-making. Both primary data collection and analyses of databases (including electronic health records and distributed networks) are crucial for the CER agenda. Methods advances enable investigators to pay greater attention to important population subgroups, including persons of low literacy, non-English speaking patients, or the frail elderly. Both established and newer statistical techniques--eg, propensity scoring and various types of modeling, including Bayesian approaches--offer analysts improved ways to address issues such as confounding and measurement bias. Finally, some articles provided guidance for and examples of extending CER into newer realms, such as evaluations of medical devices or surgical procedures, and providing better information for decision-makers, clinicians, and patients
Agency (philosophy) · Comparative effectiveness research · Data collection · Data science · Health care · Health literacy · Health services research · Literacy · Management science · Medical education · MEDLINE · Patient-centered outcomes · Political science · Population · Research design · Set (abstract data type) · Chronic Disease Management Strategies · Computer Science · Engineering · Health Policy Implementation Science · Health Systems, Economic Evaluations, Quality of Life · Medicine · Nursing · Psychology
Who Can Respond to Treatment
A Framework for Evidence Evaluation and Methodological Issues in Implantable Device Studies
Practice Based Evidence
Evaluating Health Outcomes in the Presence of Competing Risks
Validation of an Algorithm for Categorizing the Severity of Hospital Emergency Department Visits
Comparative Effectiveness Research in DARTNet Primary Care Practices
Rethinking Analytical Strategies for Surveillance of Medical Devices
Assessing Medication Exposures and Outcomes in the Frail Elderly
The Volume-Outcome Relationship in Nursing Home Care
Confounding Control in Healthcare Database Research
Electronic Patient-Reported Data Capture as a Foundation of Rapid Learning Cancer Care
Translating Comparative Effectiveness Into Practice
Using Mechanistic Models to Simulate Comparative Effectiveness Trials of Therapy and to Estimate Long-term Outcomes in HIV Care
Cluster Randomized Trials in Comparative Effectiveness Research
Literacy-Fair Measurement of Health-Related Quality of Life Will Facilitate Comparative Effectiveness Research in Spanish-Speaking Cancer Outpatients
Distributed Health Data Networks
Defining Comparative Effectiveness Research
An Integrated Evidence Rating to Frame Comparative Effectiveness Assessments for Decision Makers
Bayesian Meta-Analyses for Comparative Effectiveness and Informing Coverage Decisions
Privacy-Maintaining Propensity Score-Based Pooling of Multiple Databases Applied to a Study of Biologics
Coordinating Cancer Care
Mitigating Systematic Measurement Error in Comparative Effectiveness Research in Heterogeneous Populations
Comparative Effectiveness Research and Policy
Prediction Modeling Using EHR Data
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,07 |
| Citation span | 2012 - 2012 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |