Outcome Measures Framework: Information Model Report

Research Report Mar 5, 2018

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Richard E. Gliklich, M.D. (OM1) Kristen Bibeau, Ph.D., M.S.P.H. (IQVIA) Floyd Eisenberg, M.D., M.P.H. (iParsimony LLC) Jannette Hanna, M.B.A., P.M.P. (IQVIA) Michelle B. Leavy, M.P.H. (OM1) Daniel Campion, M.B.A. (IQVIA) Jennifer B. Christian, Pharm.D., M.P.H., Ph.D., FISPE (IQVIA)

Structured Abstract

Objectives. This report details the research undertaken to understand registries listed on, as well the burden required to record some of the most intricate, necessary data so that it is available to all other registries and viewers. The published Outcome Measures Framework (OMF) was used to evaluate the completeness of entries.

Data Sources. We searched the records for patient registries posted in the database. For both the quantitative and qualitative studies, all records on on June 23, 2015 that were defined as Patient Registries in the 'Study Type' field were downloaded for inclusion in the analyses.

Review Methods. A literature review, quantitative analysis, and qualitative analysis were undertaken to understand all facets of registration of patient registries. The report provides information on what fields within are populated most frequently, whether those fields were required or not, and explains how more complete data on the study population could be elicited and validated. It also describes how dominant definitions will be chosen as well as process measures such as treatments or procedures, and the associated outcome of the patients or participants involved.

A qualitative analysis on four condition areas was conducted to measure the degree to which outcome data, as entered in, mapped to the framework developed in the OMF. The conditions examined were depression, asthma, rheumatoid arthritis, and cardiac surgery. Two of these conditions, cardiac surgery and rheumatoid arthritis, were considered "deeper dives" and examined more in-depth detail on the level of data available in or other registry-run Web sites, as applicable.

Results. These research approaches were conducted with the intent to inform researchers on the development of an Internet-based database intended to house a fully functional system to clearly define, and eventually harmonize, outcome measures. This system has been termed the Outcome Measures Repository (OMR). The information model and governance structure is described in this report.

Conclusions. The intent of this report and the resulting OMR is to capture that data elements and sub-elements with the utmost attention to detail to ensure the optimal amount of information is captured while also avoiding undue burden on behalf of the registry steward responsible for entering the data into the OMR.

Suggested citation

Gliklich RE, Bibeau K, Eisenberg F, Hanna J, Leavy MB, Campion D, Christian JB. Registry of Patient Registries Outcome Measures Framework: Information Model Report. Methods Research Report. (Prepared by L&M Policy Research, LLC, under Contract No. 290-2014-00004-C.) AHRQ Publication No. 17(18)-EHC012-EF. Rockville, MD: Agency for Healthcare Research and Quality; February 2018. DOI:

Project Timeline

Registry of Patient Registries (RoPR)

May 31, 2011
Topic Initiated
May 31, 2012
May 31, 2012
Oct 31, 2012
Dec 4, 2012
Jun 2, 2014
Sep 27, 2016
Mar 5, 2018
Mar 5, 2018
Research Report
Feb 11, 2019
Dec 6, 2019
Dec 6, 2019
Nov 30, 2020
Page last reviewed April 2019
Page originally created January 2018

Internet Citation: Research Report: Outcome Measures Framework: Information Model Report. Content last reviewed April 2019. Effective Health Care Program, Agency for Healthcare Research and Quality, Rockville, MD.

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