Developing Evidence to Support Policy: Protocol for the StrAtegic PoLicy EvIdence-Based Evaluation CeNTer (SALIENT).

Autor:	Pugh MJ; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., Haun JN; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States.; James A. Haley Veterans' Hospital, Research and Development Service, Tampa, FL, United States., White PJ; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., Cochran G; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., Mohanty AF; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., McAndrew LM; War Related Illness and Injury Study Center, Veterans Affairs New Jersey Healthcare System, East Orange, NJ, United States., Gordon AJ; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., Nelson RE; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., Vanneman ME; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States.; Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., Naranjo DE; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., Benzinger RC; James A. Haley Veterans' Hospital, Research and Development Service, Tampa, FL, United States., Jones AL; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., Kean J; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States.; VA Informatics and Computing Infrastructure, Salt Lake City, UT, United States., Zickmund SL; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States., Fagerlin A; VA Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, UT, United States.; Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, The University of Utah, Salt Lake City, UT, United States.
Jazyk:	angličtina
Zdroj:	JMIR research protocols [JMIR Res Protoc] 2024 Sep 19; Vol. 13, pp. e59830. Date of Electronic Publication: 2024 Sep 19.
DOI:	10.2196/59830
Abstrakt:	Background: All federal agencies are required to support appropriation requests with evidence and evaluation (US Public Law 115-435; the Evidence Act). The StrAtegic PoLicy EvIdence-Based Evaluation CeNTer (SALIENT) is 1 of 6 centers that help the Department of Veterans Affairs (VA) meet this requirement. Objective: Working with the existing VA evaluation structure, SALIENT evaluations will contribute to (1) optimize policies and programs for veteran populations; (2) improve outcomes regarding health, equity, cost, and provider well-being; (3) advance the science of dissemination and knowledge translation; and (4) expand the implementation and dissemination science workforce. Methods: We leverage the Lean Sprint methodology (iterative, incremental, rule-governed approach to clearly defined, and time-boxed work) and 3 cores to develop our evaluation plans collaboratively with operational partners and key stakeholders including veterans, policy experts, and clinicians. The Operations Core will work with evaluation teams to develop timelines, facilitate work, monitor progress, and guide quality improvement within SALIENT. The Methods Core will work with evaluation teams to identify the most appropriate qualitative, quantitative, and mixed methods approaches to address each evaluation, ensure that the analyses are conducted appropriately, and troubleshoot when problems with data acquisition and analysis arise. The Knowledge Translation (KT) Core will target key partners and decision makers using a needs-based market segmentation approach to ensure that needs are incorporated in the dissemination of knowledge. The KT Core will create communications briefs, playbooks, and other materials targeted at these market segments to facilitate implementation of evidence-based practices and maximize the impact of evaluation results. Results: The SALIENT team has developed a center infrastructure to support high-priority evaluations, often to be responsive to shifting operational needs and priorities. Our team has engaged in our core missions and operations to rapidly evaluate a high-priority areas, develop a comprehensive Lean Sprint systems redesign approach to training, and accelerate rapid knowledge translation. Conclusions: With an array of interdisciplinary expertise, operational partnerships, and integrated resources, SALIENT has an established and evolving infrastructure to rapidly develop and implement high-impact evaluations. Projects are developed with sustained efficiency approaches that can pivot to new priorities as needed and effectively translate knowledge for key stakeholders and policy makers, while creating a learning health system infrastructure to foster the next generation of evaluation and implementation scientists. International Registered Report Identifier (irrid): PRR1-10.2196/59830. (©Mary Jo Pugh, Jolie N Haun, P Jon White, Gerald Cochran, April F Mohanty, Lisa M McAndrew, Adam J Gordon, Richard E Nelson, Megan E Vanneman, Diana E Naranjo, Rachel C Benzinger, Audrey L Jones, Jacob Kean, Susan L Zickmund, Angela Fagerlin. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 19.09.2024.)
Databáze:	MEDLINE
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