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      Evaluating Research Centers in Minority Institutions: Framework, Metrics, Best Practices, and Challenges

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          Abstract

          The NIH-funded Research Centers in Minority Institutions (RCMI) program is currently funding 18 academic institutions to strengthen the research environment and contribution to health disparities research. The purpose of this multiphase mixed-methods study was to establish a uniform evaluation framework for demonstrating the collective success of this research consortium. Methods included discussions of aims and logic models at the RCMI Evaluators’ Workshop, a literature review to inform an evaluation conceptual framework, and a case study survey to obtain evaluation-related information and metrics. Ten RCMIs participated in the workshop and 14 submitted responses to the survey. The resultant RCMI Evaluation Conceptual Model presents a practical ongoing approach to document RCMIs’ impacts on health disparities. Survey results identified 37 common metrics under four primary categories. Evaluation challenges were issues related to limited human resources, data collection, decision-making, defining metrics, cost-sharing, and revenue-generation. There is a need for further collaborative efforts across RCMI sites to engage program leadership and community stakeholders in addressing the identified evaluation challenges and measurement. Program leadership should be engaged to apply the Evaluation Conceptual Framework and common metrics to allow for valid inter-institutional comparisons and consortium-wide evaluations. Stakeholders could ensure evaluation metrics are used to facilitate community impacts.

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          Most cited references37

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          2017 AHA/ACC Focused Update of the 2014 AHA/ACC Guideline for the Management of Patients With Valvular Heart Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

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            The Impact of Research Collaboration on Scientific Productivity

            S Lee (2005)
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              Conceptual approaches to the study of health disparities.

              Scientific and policy interest in health disparities, defined as systematic, plausibly avoidable health differences adversely affecting socially disadvantaged groups, has increased markedly over the past few decades. Like other research, research in health disparities is strongly influenced by the underlying conceptual model of the hypothetical causes of disparities. Conceptual models are important and a major source of debate because multiple types of factors and processes may be involved in generating disparities, because different disciplines emphasize different types of factors, and because the conceptual model often drives what is studied, how results are interpreted, and which interventions are identified as most promising. This article reviews common conceptual approaches to health disparities including the genetic model, the fundamental cause model, the pathways model, and the interaction model. Strengths and limitations of the approaches are highlighted. The article concludes by outlining key elements and implications of an integrative systems-based conceptual model.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                12 November 2020
                November 2020
                : 17
                : 22
                : 8373
                Affiliations
                [1 ]Department of Tropical Medicine, Medical Microbiology, and Pharmacology, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USA; sya@ 123456hawaii.edu
                [2 ]Department of Public Health, School of Health Professions, University of Southern Mississippi, Hattiesburg, MS 39406, USA
                [3 ]Department of Anthropology, College of Social and Behavioral Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA; kelly.laurila@ 123456nau.edu
                [4 ]Department of Surgical Sciences, School of Dental Medicine, University of Puerto Rico, Medical Sciences Campus, 00938 San Juan, Puerto Rico; cmnoboaramos@ 123456gmail.com
                [5 ]Community-Based Research Institute, Florida International University, Miami, FL 33199, USA; rlangwer@ 123456fiu.edu
                [6 ]Department of Biostatistics, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL 33199, USA; hospitam@ 123456fiu.edu
                [7 ]Ponce Research Institute, Ponce Health Sciences University, Ponce 00732, Puerto Rico; dandujar@ 123456psm.edu
                [8 ]Center for Cancer Research and Therapeutic Development, Clark Atlanta University, Atlanta, GA 30314, USA; stevensonevaluation@ 123456gmail.com
                [9 ]Center for Community Prevention and Treatment Research, Division of Research and Evaluation, The MayaTech Corporation, Silver Spring, MD 20910, USA; srandolph@ 123456mayatech.com
                [10 ]Department of Community Health and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA 30310, USA; lrollins@ 123456msm.edu
                [11 ]Division of Research and Innovation, San Diego State University, San Diego, CA 92182, USA; hmadanat@ 123456sdsu.edu
                [12 ]Institute of Public Health, School of Public Health, San Diego State University, San Diego, CA 92182, USA; tpenn@ 123456sdsu.edu
                [13 ]Department of Computer Science, School of Computer, Mathematical, and Natural Sciences, Morgan State University, Baltimore, MD 21251, USA; shiva.mehravaran@ 123456morgan.edu
                Author notes
                [* ]Correspondence: traci.hayes@ 123456usm.edu
                Author information
                https://orcid.org/0000-0002-8071-899X
                https://orcid.org/0000-0002-6853-1663
                https://orcid.org/0000-0003-2407-9473
                https://orcid.org/0000-0002-9941-9607
                https://orcid.org/0000-0001-5021-2480
                https://orcid.org/0000-0003-0281-9653
                https://orcid.org/0000-0002-4249-3304
                Article
                ijerph-17-08373
                10.3390/ijerph17228373
                7696594
                33198272
                093bb65c-3a95-40f1-bee0-1a6b5025c305
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 07 October 2020
                : 10 November 2020
                Categories
                Article

                Public health
                rcmi,program evaluation,evaluation metrics,collaboration,consortium-wide evaluation,evaluation framework,health disparities

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