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Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Report on Registry Configuration
Research White Paper
Investigators: Michelle B. Leavy, M.P.H., Danielle Cooke, B.S., Sarah Hajjar, M.P.A., P.M.P., Eric Bikelman, P.M.P., Bailey Egan, B.S., Diana Clarke, Ph.D., Debbie Gibson, M.S.c., Barbara Casanova, B.S., and Richard Gliklich, M.D.
Author Information and AffiliationsStructured Abstract
Background:
Major depressive disorder is a common mental disorder. Many pressing questions regarding depression treatment and outcomes exist, and new, efficient research approaches are necessary to address them. The primary objective of this project is to demonstrate the feasibility and value of capturing the harmonized depression outcome measures in the clinical workflow and submitting these data to different registries. Secondary objectives include demonstrating the feasibility of using these data for patient-centered outcomes research and developing a toolkit to support registries interested in sharing data with external researchers.
Methods:
The harmonized outcome measures for depression were developed through a multi-stakeholder, consensus-based process supported by AHRQ. For this implementation effort, the PRIME Registry, sponsored by the American Board of Family Medicine, and PsychPRO, sponsored by the American Psychiatric Association, each recruited 10 pilot sites from existing registry sites, added the harmonized measures to the registry platform, and submitted the project for institutional review board review
Results:
The process of preparing each registry to calculate the harmonized measures produced three major findings. First, some clarifications were necessary to make the harmonized definitions operational. Second, some data necessary for the measures are not routinely captured in structured form (e.g., PHQ-9 item 9, adverse events, suicide ideation and behavior, and mortality data). Finally, capture of the PHQ-9 requires operational and technical modifications. The next phase of this project will focus collection of the baseline and follow-up PHQ-9s, as well as other supporting clinical documentation. In parallel to the data collection process, the project team will examine the feasibility of using natural language processing to extract information on PHQ-9 scores, adverse events, and suicidal behaviors from unstructured data.
Conclusion:
This pilot project represents the first practical implementation of the harmonized outcome measures for depression. Initial results indicate that it is feasible to calculate the measures within the two patient registries, although some challenges were encountered related to the harmonized definition specifications, the availability of the necessary data, and the clinical workflow for collecting the PHQ-9. The ongoing data collection period, combined with an evaluation of the utility of natural language processing for these measures, will produce more information about the practical challenges, value, and burden of using the harmonized measures in the primary care and mental health setting. These findings will be useful to inform future implementations of the harmonized depression outcome measures.
Contents
Suggested citation:
Leavy MB, Cooke D, Hajjar S, Bickelman E, Egan B, Clarke D, Gibson D, Casanova B, Gliklich R. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression. Research White Paper. (Prepared by OM1, Inc., with subcontractors American Board of Family Medicine and American Psychiatric Association under Contract No. 75Q80119C00005.) AHRQ Publication No. 21-EHC003. Rockville, MD: Agency for Healthcare Research and Quality; November 2020. Posted final reports are located on the Effective Health Care Program search page. DOI: https://doi.org/10.23970/AHRQEPCREGISTRYOUTCOME.
This report is based on research conducted by OM1 with subcontractors the American Board of Family Medicine and American Psychiatric Association under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract No. 75Q80119C00005). This work is supported by the Office of the Secretary Patient-Centered Outcomes Research Trust Fund under Interagency Agreement 18-596R-18. The findings and conclusions in this document are those of the authors, who are responsible for its contents; the findings and conclusions do not necessarily represent the views of AHRQ. Therefore, no statement in this report should be construed as an official position of AHRQ or of the U.S. Department of Health and Human Services.
None of the investigators have any affiliations or financial involvement that conflicts with the material presented in this report.
The information in this report is intended to help healthcare decision makers—patients and clinicians, health system leaders, and policymakers, among others—make well-informed decisions and thereby improve the quality of healthcare services. This report is not intended to be a substitute for the application of clinical judgment. Anyone who makes decisions concerning the provision of clinical care should consider this report in the same way as any medical reference and in conjunction with all other pertinent information, i.e., in the context of available resources and circumstances presented by individual patients.
This report is made available to the public under the terms of a licensing agreement between the author and the Agency for Healthcare Research and Quality. This report may be used and reprinted without permission except those copyrighted materials that are clearly noted in the report. Further reproduction of those copyrighted materials is prohibited without the express permission of copyright holders.
AHRQ appreciates appropriate acknowledgment and citation of its work. Suggested language for acknowledgment: This work was based on a Research White Paper, Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression, by OM1, Inc., with subcontractors the American Board of Family Medicine and American Psychiatric Association through the Agency for Healthcare Research and Quality (AHRQ).
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